|
|
|
|
|
|
|
|
|
Full Scoreboard >> |
![]() | Toronto Hitmen 26-23-6, 58pts · 11th in Canadian Conference |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anze Kopitar (C) | 11 | C | 100.00 | 66 | 40 | 98 | 76 | 84 | 71 | 98 | 78 | 95 | 77 | 73 | 71 | 59 | 97 | 99 | 82 | 75 | 82 | 37 | 10,000,000$/1yrs | |||
Warren Foegele | 37 | C/LW | 100.00 | 73 | 40 | 87 | 76 | 77 | 65 | 99 | 70 | 62 | 68 | 76 | 74 | 54 | 69 | 59 | 79 | 75 | 79 | 29 | 5,500,000$/1yrs | |||
Pavel Dorofeyev | 16 | LW/RW | 100.00 | 65 | 40 | 85 | 73 | 72 | 65 | 99 | 72 | 53 | 66 | 82 | 70 | 56 | 58 | 58 | 79 | 75 | 79 | 24 | 1,835,000$/2yrs | |||
Conor Garland | 8 | LW/RW | 100.00 | 70 | 66 | 84 | 79 | 60 | 71 | 98 | 72 | 53 | 70 | 71 | 75 | 67 | 68 | 59 | 78 | 75 | 78 | 29 | 4,950,000$/2yrs | |||
Tyler Toffoli (A) | 73 | C/LW/RW | 100.00 | 64 | 40 | 91 | 73 | 74 | 66 | 94 | 74 | 59 | 67 | 80 | 66 | 72 | 80 | 67 | 78 | 75 | 78 | 33 | 4,250,000$/1yrs | |||
Yevgeni Malkin | 71 | C | 100.00 | 67 | 40 | 80 | 81 | 81 | 68 | 82 | 75 | 73 | 75 | 71 | 61 | 74 | 90 | 61 | 77 | 75 | 77 | 38 | 8,000,000$/1yrs | |||
Charlie Coyle | 13 | C/RW | 100.00 | 69 | 40 | 87 | 74 | 81 | 67 | 99 | 66 | 78 | 65 | 70 | 75 | 75 | 82 | 60 | 77 | 75 | 77 | 33 | 4,800,000$/3yrs | |||
Alex Iafallo | 19 | C/LW | 100.00 | 74 | 64 | 91 | 70 | 73 | 58 | 99 | 65 | 58 | 66 | 68 | 77 | 56 | 71 | 66 | 75 | 75 | 75 | 31 | 2,000,000$/2yrs | |||
Trevor Zegras | 46 | C/LW/RW | 100.00 | 71 | 65 | 85 | 79 | 68 | 67 | 69 | 71 | 59 | 72 | 70 | 62 | 83 | 62 | 58 | 72 | 75 | 72 | 24 | 5,750,000$/2yrs | |||
Mavrik Bourque (R) | 22 | C/RW | 100.00 | 67 | 40 | 94 | 71 | 66 | 56 | 88 | 64 | 74 | 66 | 67 | 73 | 54 | 56 | 58 | 72 | 75 | 72 | 23 | 894,167$/1yrs | |||
Jason Dickinson | 18 | C/LW | 100.00 | 76 | 67 | 86 | 74 | 75 | 63 | 71 | 62 | 81 | 64 | 65 | 78 | 54 | 69 | 65 | 71 | 75 | 71 | 29 | 2,150,000$/1yrs | |||
Nils Hoglander | 21 | LW/RW | 100.00 | 70 | 40 | 84 | 74 | 65 | 55 | 87 | 64 | 51 | 67 | 65 | 70 | 54 | 63 | 58 | 71 | 75 | 71 | 24 | 1,100,000$/1yrs | |||
Colton Parayko | 55 | D | 100.00 | 74 | 40 | 91 | 87 | 87 | 83 | 77 | 68 | 40 | 70 | 71 | 88 | 54 | 75 | 69 | 85 | 75 | 85 | 32 | 3,800,000$/1yrs | |||
John Carlson (A) | 74 | D | 100.00 | 66 | 40 | 87 | 82 | 82 | 82 | 95 | 71 | 40 | 79 | 59 | 81 | 58 | 86 | 71 | 84 | 75 | 84 | 35 | 8,000,000$/3yrs | |||
Matt Roy | 3 | D | 100.00 | 69 | 64 | 86 | 71 | 78 | 74 | 83 | 62 | 40 | 70 | 58 | 84 | 54 | 67 | 59 | 78 | 75 | 78 | 30 | 4,000,000$/3yrs | |||
Shayne Gostisbehere | 53 | D | 100.00 | 66 | 40 | 78 | 74 | 67 | 70 | 85 | 71 | 40 | 72 | 61 | 80 | 56 | 74 | 60 | 78 | 75 | 78 | 32 | 6,100,000$/2yrs | |||
Vince Dunn | 29 | D | 100.00 | 68 | 65 | 83 | 83 | 73 | 79 | 75 | 70 | 40 | 72 | 66 | 72 | 54 | 70 | 59 | 77 | 75 | 77 | 28 | 7,350,000$/3yrs | |||
Ryan Lindgren | 5 | D | 100.00 | 67 | 40 | 79 | 71 | 71 | 73 | 87 | 61 | 40 | 68 | 59 | 79 | 54 | 66 | 59 | 76 | 75 | 76 | 27 | 1,500,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 69 | 48 | 86 | 76 | 74 | 69 | 88 | 69 | 58 | 70 | 68 | 74 | 60 | 72 | 64 | 77 | 75 | 77 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jake Oettinger | 30 | 100.00 | 84 | 92 | 95 | 95 | 80 | 85 | 86 | 81 | 85 | 87 | 83 | 67 | 68 | 90 | 75 | 90 | 26 | 4,000,000$/1yrs |
Ivan Fedotov | 82 | 100.00 | 72 | 64 | 72 | 98 | 77 | 83 | 73 | 63 | 79 | 77 | 87 | 56 | 55 | 74 | 75 | 74 | 28 | 1,500,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 78 | 78 | 84 | 97 | 79 | 84 | 80 | 72 | 82 | 82 | 85 | 62 | 62 | 82 | 75 | 82 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| General Manager | Michael Moniz |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Warren Foegele | Hitmen | 37 | C/LW | 55 | 16 | 29 | 45 | -3 | 18 | 0 | 82 | 154 | 43 | 119 | 10.39% | 12 | 17.14 | 1 | 8 | 9 | 0 | 1 | 1 | 61 | 5 | 2 | 46.09% | 243 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 |
| 2 | John Carlson | Hitmen | 74 | D | 55 | 12 | 30 | 42 | -11 | 20 | 0 | 69 | 84 | 28 | 60 | 14.29% | 72 | 21.09 | 9 | 8 | 17 | 0 | 1 | 1 | 68 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.72 | 0 | 1 |
| 3 | Anze Kopitar | Hitmen | 11 | C | 55 | 12 | 27 | 39 | -5 | 8 | 0 | 40 | 165 | 37 | 95 | 7.27% | 8 | 18.32 | 4 | 12 | 16 | 0 | 0 | 0 | 4 | 2 | 0 | 58.47% | 1358 | 0 | 0 | 0 | 0 | 0.77 | 0 | 2 |
| 4 | Conor Garland | Hitmen | 8 | LW/RW | 55 | 13 | 26 | 39 | -4 | 53 | 15 | 98 | 168 | 46 | 109 | 7.74% | 16 | 18.72 | 3 | 10 | 13 | 0 | 0 | 0 | 68 | 2 | 0 | 38.46% | 78 | 0 | 0 | 0 | 0 | 0.76 | 0 | 3 |
| 5 | Pavel Dorofeyev | Hitmen | 16 | LW/RW | 55 | 17 | 19 | 36 | -1 | 8 | 0 | 48 | 152 | 54 | 96 | 11.18% | 8 | 15.13 | 6 | 3 | 9 | 0 | 0 | 0 | 0 | 3 | 2 | 33.33% | 63 | 0 | 0 | 0 | 1 | 0.87 | 0 | 0 |
| 6 | Shayne Gostisbehere | Hitmen | 53 | D | 53 | 5 | 30 | 35 | 11 | 25 | 5 | 91 | 60 | 25 | 32 | 8.33% | 46 | 19.60 | 2 | 6 | 8 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 1 |
| 7 | Yevgeni Malkin | Hitmen | 71 | C | 55 | 13 | 21 | 34 | -2 | 24 | 10 | 78 | 140 | 36 | 84 | 9.29% | 6 | 16.88 | 4 | 6 | 10 | 0 | 0 | 0 | 4 | 0 | 1 | 48.03% | 1039 | 0 | 0 | 0 | 0 | 0.73 | 2 | 3 |
| 8 | Trevor Zegras | Hitmen | 46 | C/LW/RW | 53 | 10 | 17 | 27 | 2 | 27 | 5 | 54 | 98 | 26 | 54 | 10.20% | 2 | 13.20 | 2 | 6 | 8 | 0 | 0 | 0 | 20 | 0 | 0 | 33.33% | 54 | 0 | 0 | 0 | 0 | 0.77 | 2 | 3 |
| 9 | Vince Dunn | Hitmen | 29 | D | 46 | 4 | 22 | 26 | -6 | 37 | 15 | 67 | 58 | 27 | 45 | 6.90% | 44 | 19.97 | 3 | 6 | 9 | 0 | 0 | 0 | 19 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
| 10 | Colton Parayko | Hitmen | 55 | D | 46 | 9 | 17 | 26 | -8 | 22 | 0 | 77 | 61 | 22 | 41 | 14.75% | 57 | 19.91 | 3 | 0 | 3 | 0 | 0 | 0 | 100 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
| 11 | Tyler Toffoli | Hitmen | 73 | C/LW/RW | 55 | 12 | 13 | 25 | -9 | 14 | 0 | 42 | 128 | 36 | 91 | 9.38% | 2 | 17.17 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 2 | 1 | 41.77% | 79 | 0 | 0 | 0 | 0 | 0.53 | 0 | 3 |
| 12 | Matt Roy | Hitmen | 3 | D | 55 | 3 | 16 | 19 | -5 | 35 | 5 | 82 | 40 | 10 | 24 | 7.50% | 59 | 18.45 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
| 13 | Alex Iafallo | Hitmen | 19 | C/LW | 55 | 7 | 11 | 18 | -6 | 24 | 0 | 47 | 60 | 19 | 66 | 11.67% | 15 | 13.44 | 2 | 4 | 6 | 0 | 0 | 0 | 136 | 0 | 0 | 29.29% | 99 | 0 | 0 | 1 | 0 | 0.49 | 0 | 0 |
| 14 | Charlie Coyle | Hitmen | 13 | C/RW | 52 | 5 | 12 | 17 | -4 | 8 | 0 | 37 | 74 | 17 | 59 | 6.76% | 2 | 12.10 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 54.46% | 672 | 0 | 0 | 0 | 0 | 0.54 | 0 | 2 |
| 15 | Jason Dickinson | Hitmen | 18 | C/LW | 53 | 8 | 8 | 16 | -2 | 10 | 0 | 40 | 70 | 13 | 39 | 11.43% | 7 | 11.01 | 1 | 1 | 2 | 0 | 0 | 0 | 26 | 0 | 2 | 53.85% | 286 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
| 16 | Ryan Lindgren | Hitmen | 5 | D | 55 | 3 | 12 | 15 | -10 | 24 | 0 | 86 | 24 | 9 | 22 | 12.50% | 65 | 18.33 | 0 | 0 | 0 | 0 | 1 | 1 | 126 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 |
| 17 | Nils Hoglander | Hitmen | 21 | LW/RW | 36 | 4 | 5 | 9 | -11 | 10 | 0 | 34 | 31 | 1 | 30 | 12.90% | 3 | 9.97 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 18.18% | 22 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
| 18 | Mavrik Bourque | Hitmen | 22 | C/RW | 46 | 6 | 2 | 8 | -16 | 0 | 0 | 17 | 38 | 5 | 26 | 15.79% | 4 | 9.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 45.99% | 287 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 |
| Team Total or Average | 935 | 159 | 317 | 476 | -90 | 367 | 55 | 1089 | 1605 | 454 | 1092 | 9.91% | 428 | 16.26 | 42 | 74 | 116 | 1423 | 0 | 3 | 3 | 796 | 18 | 12 | 51.21% | 4280 | 0 | 0 | 1 | 1 | 0.63 | 4 | 18 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jake Oettinger | Hitmen | 43 | 20 | 19 | 4 | 0.897 | 3.10 | 2559 | 6 | 1 | 132 | 1284 | 0 | 3 | 1 | 0.545 | 11 | 43 | 12 | 3 | 2 | 1 |
| 2 | Ivan Fedotov | Hitmen | 14 | 9 | 5 | 0 | 0.892 | 2.87 | 794 | 0 | 0 | 38 | 353 | 0 | 0 | 0 | 0.000 | 0 | 13 | 40 | 0 | 1 | 0 |
| Team Total or Average | 57 | 29 | 24 | 4 | 0.896 | 3.04 | 3354 | 6 | 1 | 170 | 1637 | 0 | 3 | 1 | 0.545 | 11 | 56 | 52 | 3 | 3 | 1 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Revolution | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.00 | 2.50 | 2 | 0.500 | 4.5 | 8.0 | 12.5 | 0 | 0 | 1 | 6 | 2 | 0 | 33.0 | 17 | 23 | 26 | 0 | 24.5 | 14.5 | 7.00 | 19.5 | 2.50 | 0.50 | 20.00% | 3.50 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.50 | 15.50 | 23.50 | 7.50 | 12.50 | 6.50 | 66.7% | 13.6% | 91.8% | 105.5 | LUCKY |
| 2 | Freeze | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 2.67 | 3.00 | -0.33 | 3 | 0.500 | 2.7 | 5.0 | 7.7 | 0 | 0 | 3 | 4 | 0 | 2 | 33.7 | 37 | 37 | 21 | 10 | 26.7 | 12.0 | 10.33 | 22.0 | 2.67 | 0.67 | 25.00% | 4.33 | 0.67 | 84.62% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 22.67 | 15.00 | 26.67 | 7.67 | 13.33 | 6.67 | 46.2% | 7.9% | 88.8% | 96.7 | Unlucky |
| 3 | Wolves | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3.00 | 4.67 | -1.67 | 2 | 0.333 | 3.0 | 5.3 | 8.3 | 0 | 0 | 2 | 4 | 3 | 0 | 28.7 | 24 | 35 | 27 | 0 | 29.0 | 7.0 | 3.33 | 17.7 | 3.00 | 0.33 | 11.11% | 1.33 | 0.67 | 50.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.67 | 16.33 | 22.67 | 7.33 | 13.00 | 6.33 | 40.0% | 10.5% | 83.9% | 94.4 | FUN |
| 4 | Thunder | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.75 | -1.75 | 2 | 0.250 | 2.0 | 3.3 | 5.3 | 1 | 0 | 2 | 3 | 3 | 0 | 26.0 | 39 | 35 | 30 | 0 | 33.8 | 7.3 | 11.75 | 25.3 | 3.25 | 0.50 | 15.38% | 4.00 | 0.75 | 81.25% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 21.00 | 14.25 | 25.50 | 7.25 | 13.00 | 6.25 | 33.3% | 7.7% | 88.9% | 96.6 | Unlucky |
| 5 | Lynx | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4.00 | 5.00 | -1.00 | 1 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 1 | 2 | 0 | 36.0 | 5 | 16 | 15 | 0 | 34.0 | 9.0 | 6.00 | 16.0 | 5.00 | 1.00 | 20.00% | 3.00 | 1.00 | 66.67% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 27.00 | 20.00 | 24.00 | 7.00 | 11.00 | 6.00 | 42.9% | 11.1% | 85.3% | 96.4 | FUN |
| 6 | Mounties | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 2.50 | -0.50 | 2 | 0.500 | 2.0 | 3.5 | 5.5 | 0 | 0 | 2 | 1 | 1 | 0 | 16.5 | 10 | 14 | 9 | 0 | 34.0 | 8.0 | 9.50 | 18.5 | 1.00 | 0.00 | 0.00% | 3.50 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 19.50 | 12.50 | 27.00 | 8.00 | 13.00 | 5.50 | 44.4% | 12.1% | 92.6% | 104.8 | LUCKY |
| 7 | Hellcats | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.00 | 1.00 | 2 | 1.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 0 | 1 | 1 | 0 | 38.0 | 19 | 12 | 7 | 0 | 24.0 | 7.0 | 4.00 | 19.0 | 3.00 | 0.00 | 0.00% | 2.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 26.00 | 18.00 | 21.00 | 6.00 | 12.00 | 6.00 | 66.7% | 5.3% | 95.8% | 101.1 | DULL |
| 8 | Mavericks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 4.00 | 1.00 | 2 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 1 | 1 | 3 | 0 | 25.0 | 8 | 6 | 11 | 0 | 32.0 | 6.0 | 8.00 | 22.0 | 2.00 | 1.00 | 50.00% | 4.00 | 1.00 | 75.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 22.00 | 15.00 | 24.00 | 7.00 | 12.00 | 6.00 | 57.1% | 20.0% | 87.5% | 107.5 | FUN |
| 9 | Mustangs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.00 | 4.50 | -3.50 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 1 | 1 | 0 | 34.0 | 24 | 20 | 24 | 0 | 37.5 | 8.5 | 7.00 | 19.5 | 3.00 | 0.50 | 16.67% | 3.50 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 24.00 | 16.50 | 23.00 | 7.00 | 12.00 | 5.50 | 10.0% | 2.9% | 88.0% | 90.9 | Unlucky |
| 10 | Stompers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.00 | 2.00 | 2 | 1.000 | 5.0 | 10.0 | 15.0 | 0 | 0 | 1 | 4 | 0 | 0 | 37.0 | 11 | 9 | 17 | 0 | 18.0 | 6.0 | 5.00 | 18.0 | 2.00 | 2.00 | 100.00% | 0.00 | 0.00 | 0.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 29.00 | 20.00 | 17.00 | 5.00 | 13.00 | 7.00 | 50.0% | 13.5% | 83.3% | 96.8 | FUN |
| 11 | Trappers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7.00 | 0.00 | 7.00 | 2 | 1.000 | 7.0 | 11.0 | 18.0 | 0 | 1 | 2 | 3 | 2 | 0 | 24.0 | 7 | 9 | 8 | 0 | 26.0 | 7.0 | 6.00 | 21.0 | 2.00 | 1.00 | 50.00% | 3.00 | 0.00 | 100.00% | 2 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 21.00 | 14.00 | 24.00 | 7.00 | 13.00 | 7.00 | 100.0% | 29.2% | 100.0% | 129.2 | LUCKY |
| 12 | Braves | 6 | 4 | 1 | 0 | 0 | 1 | 0 | 0 | 3.50 | 2.67 | 0.83 | 9 | 0.750 | 3.5 | 7.0 | 10.5 | 0 | 0 | 5 | 10 | 6 | 0 | 30.3 | 52 | 66 | 64 | 0 | 28.2 | 7.5 | 9.00 | 21.7 | 3.83 | 1.50 | 39.13% | 2.50 | 0.67 | 73.33% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.67 | 16.50 | 23.00 | 7.17 | 13.00 | 6.67 | 50.0% | 11.5% | 90.5% | 102.1 | FUN |
| 13 | Bisons | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.00 | 2.50 | 0.50 | 3 | 0.750 | 3.0 | 5.5 | 8.5 | 0 | 0 | 3 | 1 | 2 | 2 | 39.0 | 19 | 23 | 32 | 9 | 35.0 | 8.0 | 9.50 | 17.0 | 4.00 | 0.50 | 12.50% | 2.50 | 0.50 | 80.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 26.50 | 19.00 | 22.50 | 7.50 | 12.50 | 6.50 | 55.6% | 7.7% | 92.9% | 100.5 | DULL |
| 14 | Rock | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.00 | 0.50 | 4 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 6 | 2 | 6 | 0 | 27.5 | 37 | 29 | 44 | 0 | 26.0 | 8.0 | 4.00 | 22.5 | 3.50 | 1.00 | 28.57% | 2.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.75 | 16.00 | 22.75 | 7.50 | 13.00 | 6.25 | 45.5% | 12.7% | 88.5% | 101.2 | FUN |
| 15 | Great Whites | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 0 | 1 | 1 | 29.0 | 10 | 11 | 7 | 1 | 24.0 | 15.0 | 6.00 | 20.0 | 2.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 24.00 | 16.00 | 23.00 | 6.00 | 12.00 | 6.00 | 60.0% | 10.3% | 91.7% | 102.0 | LUCKY |
| 16 | Meteors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 3 | 1 | 0 | 0 | 26.0 | 9 | 5 | 12 | 0 | 33.0 | 11.0 | 8.00 | 17.0 | 1.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 18.00 | 12.00 | 28.00 | 7.00 | 12.00 | 5.00 | 50.0% | 15.4% | 84.8% | 100.2 | FUN |
| 17 | Jaguars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.50 | 0.00 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 6 | 0 | 1 | 0 | 32.5 | 30 | 17 | 18 | 0 | 34.0 | 7.0 | 5.00 | 27.0 | 3.00 | 1.00 | 33.33% | 2.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 22.00 | 14.50 | 23.00 | 7.50 | 14.00 | 7.00 | 41.7% | 10.8% | 89.7% | 100.5 | FUN |
| 18 | Slapshots | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 2 | 0 | 0 | 35.0 | 14 | 14 | 7 | 0 | 22.0 | 3.0 | 6.00 | 12.0 | 3.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 27.00 | 19.00 | 19.00 | 6.00 | 13.00 | 7.00 | 60.0% | 8.6% | 90.9% | 99.5 | Unlucky |
| 19 | Dragons | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 2 | 1 | 0 | 32.0 | 10 | 13 | 9 | 0 | 29.0 | 9.0 | 4.00 | 12.0 | 5.00 | 1.00 | 20.00% | 2.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 26.00 | 18.00 | 21.00 | 6.00 | 12.00 | 6.00 | 60.0% | 12.5% | 93.1% | 105.6 | LUCKY |
| 20 | Knights | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 2.75 | 3.25 | -0.50 | 3 | 0.375 | 2.8 | 5.0 | 7.8 | 0 | 0 | 6 | 2 | 3 | 1 | 34.5 | 51 | 43 | 42 | 8 | 33.0 | 11.5 | 5.50 | 23.5 | 3.00 | 0.75 | 25.00% | 2.75 | 0.25 | 90.91% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.50 | 16.00 | 24.25 | 7.50 | 13.00 | 6.25 | 40.0% | 8.0% | 90.2% | 98.1 | Unlucky |
| 21 | Crusaders | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 4.00 | -1.50 | 1 | 0.250 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 1 | 2 | 0 | 26.0 | 18 | 15 | 17 | 2 | 29.0 | 10.5 | 7.00 | 21.5 | 3.00 | 0.00 | 0.00% | 3.50 | 1.00 | 71.43% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 22.50 | 15.00 | 25.00 | 8.00 | 14.00 | 6.50 | 45.5% | 9.6% | 86.2% | 95.8 | FUN |
| 22 | Butchers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 4.00 | -3.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 1 | 0 | 0 | 0 | 21.0 | 4 | 9 | 8 | 0 | 30.0 | 7.0 | 6.00 | 20.0 | 4.00 | 1.00 | 25.00% | 3.00 | 2.00 | 33.33% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 21.00 | 15.00 | 25.00 | 7.00 | 12.00 | 6.00 | 0.0% | 4.8% | 86.7% | 91.4 | Unlucky |
| 23 | Grinders | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 3.75 | 3.75 | 0.00 | 4 | 0.500 | 3.8 | 7.0 | 10.8 | 0 | 0 | 3 | 3 | 9 | 0 | 32.5 | 40 | 37 | 53 | 0 | 29.0 | 8.5 | 5.00 | 24.8 | 3.50 | 1.00 | 28.57% | 2.25 | 0.25 | 88.89% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.00 | 15.50 | 23.00 | 7.00 | 13.50 | 6.50 | 44.0% | 11.5% | 87.1% | 98.6 | FUN |
| 24 | Average Joes | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 2 | 0 | 0 | 0 | 38.0 | 14 | 20 | 4 | 0 | 31.0 | 13.0 | 11.00 | 26.0 | 2.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 24.00 | 17.00 | 23.00 | 7.00 | 12.00 | 5.00 | 33.3% | 5.3% | 87.1% | 92.4 | Unlucky |
| 25 | Rink Rats | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 1 | 4 | 1 | 0 | 33.0 | 26 | 22 | 18 | 0 | 43.0 | 11.0 | 10.00 | 25.0 | 3.00 | 1.50 | 50.00% | 5.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 21.00 | 14.50 | 26.50 | 6.50 | 11.50 | 6.00 | 33.3% | 9.1% | 93.0% | 102.1 | LUCKY |
| 26 | Titans | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.50 | 2.00 | 4 | 1.000 | 4.5 | 8.0 | 12.5 | 0 | 0 | 3 | 5 | 1 | 0 | 34.5 | 17 | 35 | 17 | 0 | 25.5 | 8.5 | 9.00 | 21.5 | 2.00 | 1.50 | 75.00% | 4.50 | 0.50 | 88.89% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 21.50 | 14.00 | 24.50 | 7.50 | 13.00 | 6.00 | 60.0% | 13.0% | 90.2% | 103.2 | FUN |
| _Vs Division | 25 | 10 | 11 | 0 | 1 | 1 | 0 | 2 | 3.08 | 3.20 | -0.12 | 25 | 0.500 | 3.1 | 5.7 | 8.8 | 1 | 0 | 25 | 24 | 27 | 3 | 30.6 | 256 | 247 | 254 | 18 | 29.4 | 8.9 | 7.60 | 23.2 | 3.36 | 0.96 | 28.57% | 2.88 | 0.44 | 84.72% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.16 | 15.76 | 24.12 | 7.44 | 13.24 | 6.56 | 43.4% | 10.1% | 89.1% | 99.2 | FUN | |
| _Vs Conference | 35 | 15 | 16 | 0 | 1 | 1 | 0 | 2 | 3.20 | 3.40 | -0.20 | 35 | 0.500 | 3.2 | 5.9 | 9.1 | 1 | 0 | 38 | 39 | 34 | 3 | 30.5 | 343 | 366 | 350 | 18 | 29.1 | 8.7 | 7.31 | 22.3 | 3.09 | 0.91 | 29.63% | 2.83 | 0.51 | 81.82% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.17 | 15.80 | 24.06 | 7.43 | 13.17 | 6.49 | 44.2% | 10.5% | 88.3% | 98.8 | FUN | |
| _Since Last GM Reset | 55 | 24 | 23 | 0 | 2 | 3 | 0 | 3 | 3.16 | 3.18 | -0.02 | 58 | 0.527 | 3.2 | 5.8 | 8.9 | 1 | 1 | 59 | 62 | 51 | 6 | 30.7 | 552 | 575 | 547 | 30 | 30.0 | 8.9 | 7.24 | 21.4 | 3.04 | 0.78 | 25.75% | 2.95 | 0.40 | 86.42% | 2 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.36 | 15.98 | 24.02 | 7.44 | 13.11 | 6.49 | 46.1% | 10.3% | 89.4% | 99.7 | FUN | |
| Total | 55 | 24 | 23 | 0 | 2 | 3 | 0 | 3 | 3.16 | 3.18 | -0.02 | 58 | 0.527 | 3.2 | 5.8 | 8.9 | 1 | 1 | 59 | 62 | 51 | 6 | 30.7 | 552 | 575 | 547 | 30 | 30.0 | 8.9 | 7.24 | 21.4 | 3.04 | 0.78 | 25.75% | 2.95 | 0.40 | 86.42% | 2 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.36 | 15.98 | 24.02 | 7.44 | 13.11 | 6.49 | 46.1% | 10.3% | 89.4% | 99.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1930 |
| Neutral Zone Start | 882 |
| Defensive Zone Start | 1909 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2447 |
| Faceoffs Lost | 2274 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 20.5 | 20.31 |
| 3rd Period | 30.4 | 30.68 |
| Overtime | 31.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 128 |
|---|---|
| PP Goal | 43 |
| PK Goal | 2 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 14 | 12 |
| Lost | 11 | 12 |
| Overtime Lost | 0 | 6 |
| PP Attempt | 167 |
|---|---|
| PP Goal | 43 |
| PK Attempt | 162 |
| PK Goal Against | 22 |
| Home | |
|---|---|
| Shots For | 30.7 |
| Shots Against | 30.0 |
| Goals For | 3.2 |
| Goals Against | 3.2 |
| Hits | 21.4 |
| Shots Blocked | 8.9 |
| Pim | 7.2 |
| |
| Total Salaries | 90,440,501$ |
| Projected Total Cap Hit | 85,693,181$ |
| Projected Cap Space | 2,306,819$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 51,738,472$ |
| Players Signed (45 – 60) | 59 |
| Goalies Signed (min. 6) | 8 |
| Defensemen Signed (min. 16) | 17 |
| LTIR Players | 0 |
| Hitmen Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
Season 51 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Iafallo | C/LW | 31 | 2,000,000$ | 711,340$ | 2,000,000$ | 2,000,000$ | UFA | |||||
| Anze Kopitar | C | 37 | 10,000,000$ | 3,556,701$ | 10,000,000$ | UFA | ||||||
| Charlie Coyle | C/RW | 33 | 4,800,000$ | 1,707,216$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | ||||
| Colton Parayko | D | 32 | 3,800,000$ | 1,351,546$ | 3,800,000$ | UFA | ||||||
| Conor Garland | LW/RW | 29 | 4,950,000$ | 1,760,567$ | 4,950,000$ | 4,950,000$ | UFA | |||||
| Ivan Fedotov | G | 28 | 1,500,000$ | 533,505$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Jake Oettinger | G | 26 | 4,000,000$ | 1,422,680$ | 4,000,000$ | RFA | ||||||
| Jason Dickinson | C/LW | 29 | 2,150,000$ | 764,691$ | 2,150,000$ | UFA | ||||||
| John Carlson | D | 35 | 8,000,000$ | 2,845,361$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
| Matt Roy | D | 30 | 4,000,000$ | 1,422,680$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
| Mavrik Bourque | C/RW | 23 | 894,167$ | 318,028$ | 894,167$ | RFA | ||||||
| Nils Hoglander | LW/RW | 24 | 1,100,000$ | 391,237$ | 1,100,000$ | RFA | ||||||
| Pavel Dorofeyev | LW/RW | 24 | 1,835,000$ | 652,655$ | 1,835,000$ | 1,835,000$ | RFA | |||||
| Ryan Lindgren | D | 27 | 1,500,000$ | 533,505$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Shayne Gostisbehere | D | 32 | 6,100,000$ | 2,169,588$ | 6,100,000$ | 6,100,000$ | UFA | |||||
| Trevor Zegras | C/LW/RW | 24 | 5,750,000$ | 2,045,103$ | 5,750,000$ | 5,750,000$ | RFA | |||||
| Tyler Toffoli | C/LW/RW | 33 | 4,250,000$ | 1,511,598$ | 4,250,000$ | UFA | ||||||
| Vince Dunn | D | 28 | 7,350,000$ | 2,614,175$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | UFA | ||||
| Warren Foegele | C/LW | 29 | 5,500,000$ | 1,956,186$ | 5,500,000$ | UFA | ||||||
| Yevgeni Malkin | C | 38 | 8,000,000$ | 2,845,361$ | 8,000,000$ | UFA |
| Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
Season 51 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexandre Texier | C/LW | 25 | 550,000$ | 19,562$ | 55,000$ | 55,000$ | 55,000$ | 55,000$ | 55,000$ | UFA | ||
| Anthony Mantha | LW/RW | 30 | 3,600,000$ | 128,041$ | 360,000$ | 360,000$ | UFA | |||||
| Aram Minnetian | D | 20 | 550,000$ | 19,562$ | 55,000$ | 55,000$ | RFA | |||||
| Ben McCartney | LW/RW | 23 | 450,000$ | 16,005$ | 45,000$ | 45,000$ | RFA | |||||
| Brandon Lisowsky | LW | 21 | 525,000$ | 18,673$ | 52,500$ | RFA | ||||||
| Carsen Musser | G | 20 | 475,000$ | 16,894$ | 47,500$ | RFA | ||||||
| Connor Ungar | G | 23 | 450,000$ | 16,005$ | 45,000$ | 45,000$ | RFA | |||||
| Curtis Douglas | C/LW | 25 | 450,000$ | 16,005$ | 45,000$ | 45,000$ | RFA | |||||
| Daniil Gushchin | LW/RW | 23 | 828,334$ | 29,461$ | 82,833$ | RFA | ||||||
| Daniil Isayev | G | 25 | 500,000$ | 17,784$ | 50,000$ | RFA | ||||||
| Daniil Tarasov | G | 26 | 1,050,000$ | 37,345$ | 105,000$ | RFA | ||||||
| Graeme Clarke | LW/RW | 24 | 800,000$ | 28,454$ | 80,000$ | RFA | ||||||
| Isaac Howard | LW | 21 | 875,000$ | 31,121$ | 87,500$ | RFA | ||||||
| Jacob Melanson | RW | 22 | 450,000$ | 16,005$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
| Jan Jenik | C/LW/RW | 24 | 775,000$ | 27,564$ | 77,500$ | RFA | ||||||
| Jayden Perron | RW | 20 | 725,000$ | 25,786$ | 72,500$ | 72,500$ | RFA | |||||
| Jett Woo | D | 24 | 650,000$ | 23,119$ | 65,000$ | RFA | ||||||
| Jimmy Clark | C/LW | 20 | 450,000$ | 16,005$ | 45,000$ | RFA | ||||||
| John Ludvig | D | 24 | 450,000$ | 16,005$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||
| Justin Hryckowian | C/LW | 24 | 1,000,000$ | 35,567$ | 100,000$ | 100,000$ | 100,000$ | 100,000$ | UFA | |||
| Keaton Middleton | D | 27 | 450,000$ | 16,005$ | 45,000$ | UFA | ||||||
| Kevin Rooney | C/LW | 32 | 650,000$ | 23,119$ | 65,000$ | UFA | ||||||
| Matias Mantykivi | C | 24 | 700,000$ | 24,897$ | 70,000$ | RFA | ||||||
| Matthew Mania | D | 20 | 500,000$ | 17,784$ | 50,000$ | RFA | ||||||
| Matthew Seminoff | C/RW | 21 | 850,000$ | 30,232$ | 85,000$ | 85,000$ | RFA | |||||
| Michael Buchinger | D | 21 | 450,000$ | 16,005$ | 45,000$ | RFA | ||||||
| Miles Wood | LW/RW | 29 | 700,000$ | 24,897$ | 70,000$ | 70,000$ | UFA | |||||
| Oliver Moore | C | 20 | 875,000$ | 31,121$ | 87,500$ | 87,500$ | RFA | |||||
| Pavol Regenda | LW/RW | 25 | 450,000$ | 16,005$ | 45,000$ | 45,000$ | RFA | |||||
| Pheonix Copley | G | 33 | 550,000$ | 19,562$ | 55,000$ | 55,000$ | UFA | |||||
| Rafael Harvey-Pinard | LW/RW | 26 | 1,100,000$ | 39,124$ | 110,000$ | RFA | ||||||
| Raphael Lavoie | C/RW | 24 | 775,000$ | 27,564$ | 77,500$ | RFA | ||||||
| Roni Hirvonen | C/LW/RW | 23 | 856,667$ | 30,469$ | 85,667$ | RFA | ||||||
| Spencer Stastney | D | 25 | 825,000$ | 29,343$ | 82,500$ | 82,500$ | RFA | |||||
| T.J. Brodie | D | 35 | 450,000$ | 16,005$ | 45,000$ | UFA | ||||||
| Tomas Hamara | D | 21 | 625,000$ | 22,229$ | 62,500$ | RFA | ||||||
| Topi Niemela | D | 23 | 856,667$ | 30,469$ | 85,667$ | RFA | ||||||
| Vadim Zherenko | G | 24 | 846,667$ | 30,113$ | 84,667$ | RFA | ||||||
| Victor Mancini | D | 23 | 1,500,000$ | 53,351$ | 150,000$ | 150,000$ | 150,000$ | 150,000$ | 150,000$ | UFA |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
| |||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
| ||||||
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Revolution | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.00 | 2.50 | 2 | 0.500 | 4.5 | 8.0 | 12.5 | 0 | 0 | 1 | 6 | 2 | 0 | 33.0 | 17 | 23 | 26 | 0 | 24.5 | 14.5 | 7.00 | 19.5 | 2.50 | 0.50 | 20.00% | 3.50 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.50 | 15.50 | 23.50 | 7.50 | 12.50 | 6.50 | 66.7% | 13.6% | 91.8% | 105.5 | LUCKY |
| 2 | Freeze | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 2.67 | 3.00 | -0.33 | 3 | 0.500 | 2.7 | 5.0 | 7.7 | 0 | 0 | 3 | 4 | 0 | 2 | 33.7 | 37 | 37 | 21 | 10 | 26.7 | 12.0 | 10.33 | 22.0 | 2.67 | 0.67 | 25.00% | 4.33 | 0.67 | 84.62% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 22.67 | 15.00 | 26.67 | 7.67 | 13.33 | 6.67 | 46.2% | 7.9% | 88.8% | 96.7 | Unlucky |
| 3 | Wolves | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3.00 | 4.67 | -1.67 | 2 | 0.333 | 3.0 | 5.3 | 8.3 | 0 | 0 | 2 | 4 | 3 | 0 | 28.7 | 24 | 35 | 27 | 0 | 29.0 | 7.0 | 3.33 | 17.7 | 3.00 | 0.33 | 11.11% | 1.33 | 0.67 | 50.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.67 | 16.33 | 22.67 | 7.33 | 13.00 | 6.33 | 40.0% | 10.5% | 83.9% | 94.4 | FUN |
| 4 | Thunder | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.75 | -1.75 | 2 | 0.250 | 2.0 | 3.3 | 5.3 | 1 | 0 | 2 | 3 | 3 | 0 | 26.0 | 39 | 35 | 30 | 0 | 33.8 | 7.3 | 11.75 | 25.3 | 3.25 | 0.50 | 15.38% | 4.00 | 0.75 | 81.25% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 21.00 | 14.25 | 25.50 | 7.25 | 13.00 | 6.25 | 33.3% | 7.7% | 88.9% | 96.6 | Unlucky |
| 5 | Lynx | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4.00 | 5.00 | -1.00 | 1 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 1 | 2 | 0 | 36.0 | 5 | 16 | 15 | 0 | 34.0 | 9.0 | 6.00 | 16.0 | 5.00 | 1.00 | 20.00% | 3.00 | 1.00 | 66.67% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 27.00 | 20.00 | 24.00 | 7.00 | 11.00 | 6.00 | 42.9% | 11.1% | 85.3% | 96.4 | FUN |
| 6 | Mounties | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 2.50 | -0.50 | 2 | 0.500 | 2.0 | 3.5 | 5.5 | 0 | 0 | 2 | 1 | 1 | 0 | 16.5 | 10 | 14 | 9 | 0 | 34.0 | 8.0 | 9.50 | 18.5 | 1.00 | 0.00 | 0.00% | 3.50 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 19.50 | 12.50 | 27.00 | 8.00 | 13.00 | 5.50 | 44.4% | 12.1% | 92.6% | 104.8 | LUCKY |
| 7 | Hellcats | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.00 | 1.00 | 2 | 1.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 0 | 1 | 1 | 0 | 38.0 | 19 | 12 | 7 | 0 | 24.0 | 7.0 | 4.00 | 19.0 | 3.00 | 0.00 | 0.00% | 2.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 26.00 | 18.00 | 21.00 | 6.00 | 12.00 | 6.00 | 66.7% | 5.3% | 95.8% | 101.1 | DULL |
| 8 | Mavericks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 4.00 | 1.00 | 2 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 1 | 1 | 3 | 0 | 25.0 | 8 | 6 | 11 | 0 | 32.0 | 6.0 | 8.00 | 22.0 | 2.00 | 1.00 | 50.00% | 4.00 | 1.00 | 75.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 22.00 | 15.00 | 24.00 | 7.00 | 12.00 | 6.00 | 57.1% | 20.0% | 87.5% | 107.5 | FUN |
| 9 | Mustangs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.00 | 4.50 | -3.50 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 1 | 1 | 0 | 34.0 | 24 | 20 | 24 | 0 | 37.5 | 8.5 | 7.00 | 19.5 | 3.00 | 0.50 | 16.67% | 3.50 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 24.00 | 16.50 | 23.00 | 7.00 | 12.00 | 5.50 | 10.0% | 2.9% | 88.0% | 90.9 | Unlucky |
| 10 | Stompers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.00 | 2.00 | 2 | 1.000 | 5.0 | 10.0 | 15.0 | 0 | 0 | 1 | 4 | 0 | 0 | 37.0 | 11 | 9 | 17 | 0 | 18.0 | 6.0 | 5.00 | 18.0 | 2.00 | 2.00 | 100.00% | 0.00 | 0.00 | 0.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 29.00 | 20.00 | 17.00 | 5.00 | 13.00 | 7.00 | 50.0% | 13.5% | 83.3% | 96.8 | FUN |
| 11 | Trappers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7.00 | 0.00 | 7.00 | 2 | 1.000 | 7.0 | 11.0 | 18.0 | 0 | 1 | 2 | 3 | 2 | 0 | 24.0 | 7 | 9 | 8 | 0 | 26.0 | 7.0 | 6.00 | 21.0 | 2.00 | 1.00 | 50.00% | 3.00 | 0.00 | 100.00% | 2 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 21.00 | 14.00 | 24.00 | 7.00 | 13.00 | 7.00 | 100.0% | 29.2% | 100.0% | 129.2 | LUCKY |
| 12 | Braves | 6 | 4 | 1 | 0 | 0 | 1 | 0 | 0 | 3.50 | 2.67 | 0.83 | 9 | 0.750 | 3.5 | 7.0 | 10.5 | 0 | 0 | 5 | 10 | 6 | 0 | 30.3 | 52 | 66 | 64 | 0 | 28.2 | 7.5 | 9.00 | 21.7 | 3.83 | 1.50 | 39.13% | 2.50 | 0.67 | 73.33% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.67 | 16.50 | 23.00 | 7.17 | 13.00 | 6.67 | 50.0% | 11.5% | 90.5% | 102.1 | FUN |
| 13 | Bisons | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.00 | 2.50 | 0.50 | 3 | 0.750 | 3.0 | 5.5 | 8.5 | 0 | 0 | 3 | 1 | 2 | 2 | 39.0 | 19 | 23 | 32 | 9 | 35.0 | 8.0 | 9.50 | 17.0 | 4.00 | 0.50 | 12.50% | 2.50 | 0.50 | 80.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 26.50 | 19.00 | 22.50 | 7.50 | 12.50 | 6.50 | 55.6% | 7.7% | 92.9% | 100.5 | DULL |
| 14 | Rock | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.00 | 0.50 | 4 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 6 | 2 | 6 | 0 | 27.5 | 37 | 29 | 44 | 0 | 26.0 | 8.0 | 4.00 | 22.5 | 3.50 | 1.00 | 28.57% | 2.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.75 | 16.00 | 22.75 | 7.50 | 13.00 | 6.25 | 45.5% | 12.7% | 88.5% | 101.2 | FUN |
| 15 | Great Whites | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 0 | 1 | 1 | 29.0 | 10 | 11 | 7 | 1 | 24.0 | 15.0 | 6.00 | 20.0 | 2.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 24.00 | 16.00 | 23.00 | 6.00 | 12.00 | 6.00 | 60.0% | 10.3% | 91.7% | 102.0 | LUCKY |
| 16 | Meteors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 3 | 1 | 0 | 0 | 26.0 | 9 | 5 | 12 | 0 | 33.0 | 11.0 | 8.00 | 17.0 | 1.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 18.00 | 12.00 | 28.00 | 7.00 | 12.00 | 5.00 | 50.0% | 15.4% | 84.8% | 100.2 | FUN |
| 17 | Jaguars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.50 | 0.00 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 6 | 0 | 1 | 0 | 32.5 | 30 | 17 | 18 | 0 | 34.0 | 7.0 | 5.00 | 27.0 | 3.00 | 1.00 | 33.33% | 2.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 22.00 | 14.50 | 23.00 | 7.50 | 14.00 | 7.00 | 41.7% | 10.8% | 89.7% | 100.5 | FUN |
| 18 | Slapshots | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 2 | 0 | 0 | 35.0 | 14 | 14 | 7 | 0 | 22.0 | 3.0 | 6.00 | 12.0 | 3.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 27.00 | 19.00 | 19.00 | 6.00 | 13.00 | 7.00 | 60.0% | 8.6% | 90.9% | 99.5 | Unlucky |
| 19 | Dragons | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 2 | 1 | 0 | 32.0 | 10 | 13 | 9 | 0 | 29.0 | 9.0 | 4.00 | 12.0 | 5.00 | 1.00 | 20.00% | 2.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 26.00 | 18.00 | 21.00 | 6.00 | 12.00 | 6.00 | 60.0% | 12.5% | 93.1% | 105.6 | LUCKY |
| 20 | Knights | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 2.75 | 3.25 | -0.50 | 3 | 0.375 | 2.8 | 5.0 | 7.8 | 0 | 0 | 6 | 2 | 3 | 1 | 34.5 | 51 | 43 | 42 | 8 | 33.0 | 11.5 | 5.50 | 23.5 | 3.00 | 0.75 | 25.00% | 2.75 | 0.25 | 90.91% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.50 | 16.00 | 24.25 | 7.50 | 13.00 | 6.25 | 40.0% | 8.0% | 90.2% | 98.1 | Unlucky |
| 21 | Crusaders | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 4.00 | -1.50 | 1 | 0.250 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 1 | 2 | 0 | 26.0 | 18 | 15 | 17 | 2 | 29.0 | 10.5 | 7.00 | 21.5 | 3.00 | 0.00 | 0.00% | 3.50 | 1.00 | 71.43% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 22.50 | 15.00 | 25.00 | 8.00 | 14.00 | 6.50 | 45.5% | 9.6% | 86.2% | 95.8 | FUN |
| 22 | Butchers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 4.00 | -3.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 1 | 0 | 0 | 0 | 21.0 | 4 | 9 | 8 | 0 | 30.0 | 7.0 | 6.00 | 20.0 | 4.00 | 1.00 | 25.00% | 3.00 | 2.00 | 33.33% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 21.00 | 15.00 | 25.00 | 7.00 | 12.00 | 6.00 | 0.0% | 4.8% | 86.7% | 91.4 | Unlucky |
| 23 | Grinders | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 3.75 | 3.75 | 0.00 | 4 | 0.500 | 3.8 | 7.0 | 10.8 | 0 | 0 | 3 | 3 | 9 | 0 | 32.5 | 40 | 37 | 53 | 0 | 29.0 | 8.5 | 5.00 | 24.8 | 3.50 | 1.00 | 28.57% | 2.25 | 0.25 | 88.89% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.00 | 15.50 | 23.00 | 7.00 | 13.50 | 6.50 | 44.0% | 11.5% | 87.1% | 98.6 | FUN |
| 24 | Average Joes | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 2 | 0 | 0 | 0 | 38.0 | 14 | 20 | 4 | 0 | 31.0 | 13.0 | 11.00 | 26.0 | 2.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 24.00 | 17.00 | 23.00 | 7.00 | 12.00 | 5.00 | 33.3% | 5.3% | 87.1% | 92.4 | Unlucky |
| 25 | Rink Rats | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 1 | 4 | 1 | 0 | 33.0 | 26 | 22 | 18 | 0 | 43.0 | 11.0 | 10.00 | 25.0 | 3.00 | 1.50 | 50.00% | 5.00 | 0.00 | 100.00% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 21.00 | 14.50 | 26.50 | 6.50 | 11.50 | 6.00 | 33.3% | 9.1% | 93.0% | 102.1 | LUCKY |
| 26 | Titans | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.50 | 2.00 | 4 | 1.000 | 4.5 | 8.0 | 12.5 | 0 | 0 | 3 | 5 | 1 | 0 | 34.5 | 17 | 35 | 17 | 0 | 25.5 | 8.5 | 9.00 | 21.5 | 2.00 | 1.50 | 75.00% | 4.50 | 0.50 | 88.89% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 21.50 | 14.00 | 24.50 | 7.50 | 13.00 | 6.00 | 60.0% | 13.0% | 90.2% | 103.2 | FUN |
| _Vs Division | 25 | 10 | 11 | 0 | 1 | 1 | 0 | 2 | 3.08 | 3.20 | -0.12 | 25 | 0.500 | 3.1 | 5.7 | 8.8 | 1 | 0 | 25 | 24 | 27 | 3 | 30.6 | 256 | 247 | 254 | 18 | 29.4 | 8.9 | 7.60 | 23.2 | 3.36 | 0.96 | 28.57% | 2.88 | 0.44 | 84.72% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.16 | 15.76 | 24.12 | 7.44 | 13.24 | 6.56 | 43.4% | 10.1% | 89.1% | 99.2 | FUN | |
| _Vs Conference | 35 | 15 | 16 | 0 | 1 | 1 | 0 | 2 | 3.20 | 3.40 | -0.20 | 35 | 0.500 | 3.2 | 5.9 | 9.1 | 1 | 0 | 38 | 39 | 34 | 3 | 30.5 | 343 | 366 | 350 | 18 | 29.1 | 8.7 | 7.31 | 22.3 | 3.09 | 0.91 | 29.63% | 2.83 | 0.51 | 81.82% | 0 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.17 | 15.80 | 24.06 | 7.43 | 13.17 | 6.49 | 44.2% | 10.5% | 88.3% | 98.8 | FUN | |
| _Since Last GM Reset | 55 | 24 | 23 | 0 | 2 | 3 | 0 | 3 | 3.16 | 3.18 | -0.02 | 58 | 0.527 | 3.2 | 5.8 | 8.9 | 1 | 1 | 59 | 62 | 51 | 6 | 30.7 | 552 | 575 | 547 | 30 | 30.0 | 8.9 | 7.24 | 21.4 | 3.04 | 0.78 | 25.75% | 2.95 | 0.40 | 86.42% | 2 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.36 | 15.98 | 24.02 | 7.44 | 13.11 | 6.49 | 46.1% | 10.3% | 89.4% | 99.7 | FUN | |
| Total | 55 | 24 | 23 | 0 | 2 | 3 | 0 | 3 | 3.16 | 3.18 | -0.02 | 58 | 0.527 | 3.2 | 5.8 | 8.9 | 1 | 1 | 59 | 62 | 51 | 6 | 30.7 | 552 | 575 | 547 | 30 | 30.0 | 8.9 | 7.24 | 21.4 | 3.04 | 0.78 | 25.75% | 2.95 | 0.40 | 86.42% | 2 | 1027 | 1930 | 53.21% | 965 | 1909 | 50.55% | 455 | 882 | 51.59% | 23.36 | 15.98 | 24.02 | 7.44 | 13.11 | 6.49 | 46.1% | 10.3% | 89.4% | 99.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1930 |
| Neutral Zone Start | 882 |
| Defensive Zone Start | 1909 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2447 |
| Faceoffs Lost | 2274 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 20.5 | 20.31 |
| 3rd Period | 30.4 | 30.68 |
| Overtime | 31.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 128 |
|---|---|
| PP Goal | 43 |
| PK Goal | 2 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 14 | 12 |
| Lost | 11 | 12 |
| Overtime Lost | 0 | 6 |
| PP Attempt | 167 |
|---|---|
| PP Goal | 43 |
| PK Attempt | 162 |
| PK Goal Against | 22 |
| Home | |
|---|---|
| Shots For | 30.7 |
| Shots Against | 30.0 |
| Goals For | 3.2 |
| Goals Against | 3.2 |
| Hits | 21.4 |
| Shots Blocked | 8.9 |
| Pim | 7.2 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 87,479,167$ | 0$ | 85,693,181$ | 2,306,819$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | ||
| City | Toronto | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
| Attendance | 121365 | 100361 | 39231 | 76098 | 19640 |
| Attendance PCT | 80.91% | 80.29% | 78.46% | 76.10% | 78.56% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 16 | 14268 - 79.27% | 999,248$ | 24,981,205$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 87,479,167$ | 87,479,167$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 52,685,629$ | 450,924$ | 51,738,472$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 15,987,971$ | 69 | 450,924$ | 31,113,756$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 32,167,041$ | 85,693,181$ | 157,504,448$ | 142,424,344$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
|---|---|---|---|---|---|---|---|
| 2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
| 2027 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
| 2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
| 2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| 2030 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Domenic DiVincentiis | Hitmen | 2024 | 197 | ||
| Harry Nansi | Hitmen | 2025 | 80 | ||
| Kieron Walton | Hitmen | 2024 | 55 | 0 | |
| Kirill Kudryavtsev | Hitmen | 2024 | 139 | 0 | |
| William Belle | Hitmen | 2025 | 98 |
| Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
|---|---|---|---|---|---|---|---|
| 2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
| 2027 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
| 2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
| 2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| 2030 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Domenic DiVincentiis | Hitmen | 2024 | 197 | ||
| Harry Nansi | Hitmen | 2025 | 80 | ||
| Kieron Walton | Hitmen | 2024 | 55 | 0 | |
| Kirill Kudryavtsev | Hitmen | 2024 | 139 | 0 | |
| William Belle | Hitmen | 2025 | 98 |
TRADE : From Butchers to Hitmen : Shayne Gostisbehere (78), Ivan Fedotov (74).
TRADE : From Hitmen to Butchers : Jamie Oleksiak (82), Calvin Pickard (77).
TRADE : From Hitmen to Revolution : Kevin Stenlund (76).
TRADE : From Revolution to Hitmen : Y:2027-RND:3-REV.
TRADE : From Wolves to Hitmen : Charlie Coyle (77).
TRADE : From Hitmen to Wolves : Nick Paul (79).
Graeme Clarke has been selected as assistant for Assassins.
Miles Wood is no longer as assistant for Assassins.
Miles Wood has been selected as assistant for Assassins.
Spencer Stastney is no longer as assistant for Assassins.
Spencer Stastney has been selected as captain for Assassins.
Rafael Harvey-Pinard is no longer captain for Assassins.
TRADE : From Great Whites to Hitmen : Jason Dickinson (71).
TRADE : From Hitmen to Great Whites : Y:2028-RND:6-HIT.
Jacob Melanson signed with Hitmen for $450,000 for 3 year(s).
Connor Ungar signed with Hitmen for $450,000 for 2 year(s).
Pavol Regenda signed with Hitmen for $450,000 for 2 year(s).
Miles Wood has been selected as assistant for Assassins.
Spencer Stastney has been selected as assistant for Assassins.
Rafael Harvey-Pinard has been selected as captain for Assassins.
Raphael Lavoie is no longer captain for Assassins.
Alexandre Texier signed with Hitmen for $550,000 for 5 year(s).
Raphael Lavoie has been selected as captain for Assassins.
TRADE : From Hitmen to Mavericks : Brett Leason (70).
TRADE : From Hitmen to Revolution : David Perron (66).
David Perron signed with Hitmen for $1,000,000 for 3 year(s).
Miles Wood signed with Hitmen for $700,000 for 2 year(s).
Hitmen drafts William Belle as the #98 overall pick in the Entry Draft of year 2025.
Hitmen drafts Harry Nansi as the #80 overall pick in the Entry Draft of year 2025.
TRADE : From Lynx to Hitmen : Y:2025-RND:4-JAG.
TRADE : From Hitmen to Lynx : Y:2025-RND:5-HIT, Y:2025-RND:6-HIT.
TRADE : From Hitmen to Revolution : Nick Jensen (76).
TRADE : From Revolution to Hitmen : Yevgeni Malkin (77).
Hitmen was eliminated at round 4 of year 2024.
Assassins was eliminated at round 4 of year 2024.
TRADE : From Mounties to Hitmen : Vladimir Tarasenko (76), Y:2025-RND:3-REV.
TRADE : From Hitmen to Mounties : Y:2025-RND:2-HIT.
TRADE : From Titans to Hitmen : Colton Parayko (77), Y:2026-RND:6-TIT.
TRADE : From Hitmen to Titans : Philipp Kurashev (76), Isac Lundestrom (65), Y:2025-RND:1-HIT.
TRADE : From Slapshots to Hitmen : Calvin Pickard (76).
TRADE : From Hitmen to Slapshots : Y:2025-RND:4-SLA.
TRADE : From Jaguars to Hitmen : Adam Henrique (78).
TRADE : From Hitmen to Jaguars : Gustav Nyquist (78).
Ben Hutton has been selected as assistant for Assassins.
Andreas Englund has been selected as assistant for Assassins.
Raphael Lavoie has been selected as captain for Assassins.
TRADE : From Great Whites to Hitmen : Roman Will (61), Cooper Marody (58).
TRADE : From Hitmen to Great Whites : Steven Lorentz (59).
TRADE : From Jaguars to Hitmen : Nick Jensen (72).
TRADE : From Hitmen to Jaguars : Mark Giordano (69), Y:2025-RND:6-MET, Y:2026-RND:3-HIT.
Domenic DiVincentiis has been added to Hitmen.
Kirill Kudryavtsev has been added to Hitmen.
Kieron Walton has been added to Hitmen.
TRADE : From Mavericks to Hitmen : Y:2024-RND:7-HIT.
TRADE : From Hitmen to Mavericks : Derek Ryan (64).
TRADE : From Meteors to Hitmen : Y:2025-RND:6-MET.
TRADE : From Hitmen to Meteors : Noah Juulsen (67).
Hitmen was eliminated at round 4 of year 2023.
Assassins was eliminated at round 2 of year 2023.
TRADE : From Hitmen to Stompers : Y:2026-RND:6-HIT.
TRADE : From Stompers to Hitmen : Mark Giordano (68).
Hitmen claimed Kevin Stenlund from waivers by Dragons for $0.
Hitmen show interest in Kevin Stenlund from waiver.
Tomas Nosek signed with Hitmen for 450.000 € for 1 year(s).
James Reimer signed with Hitmen for 450.000 € for 2 year(s).
TRADE : From Knights to Hitmen : Pheonix Copley (76).
TRADE : From Hitmen to Knights : Y:2025-RND:4-HIT.
Joel Edmundson has been selected as assistant for Assassins.
TRADE : From Slapshots to Hitmen : Brady Skjei (81), Y:2025-RND:4-SLA.
TRADE : From Hitmen to Slapshots : John Gibson (76), Michael Eyssimont (63), Y:2024-RND:1-HIT.
TRADE : From Jaguars to Hitmen : Ryan Graves (72).
TRADE : From Hitmen to Jaguars : Justin Holl (68), Y:2025-RND:3-HIT.
Philipp Kurashev has been selected as assistant for Assassins.
Alexander Chmelevski has been selected as assistant for Assassins.
Kale Clague has been selected as captain for Assassins.
Kevin Gravel signed with Hitmen for 450.000 € for 1 year(s).
Andreas Englund signed with Hitmen for 450.000 € for 2 year(s).
Jimmy Clark has been added to Hitmen.
Carsen Musser has been added to Hitmen.
Matthew Mania has been added to Hitmen.
Aram Minnetian has been added to Hitmen.
Website created by the SimonT Hockey Simulator (STHS) for Sebastian Horn - The database was created : 15.04.2026 23:03:20 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||