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Full Scoreboard >> |
![]() | London Assassins 1-1-0, 2pts · 8th in Orr Conference |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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$/1yrs | |||
Matias Mantykivi (R) | 12 | C | 100.00 | 64 | 64 | 83 | 67 | 64 | 58 | 88 | 62 | 70 | 60 | 60 | 61 | 57 | 41 | 41 | 67 | 75 | 67 | 24 | 700,000$/1yrs | |||
Isaac Howard (R) | 53 | LW | 100.00 | 66 | 66 | 91 | 63 | 66 | 56 | 80 | 61 | 57 | 56 | 61 | 59 | 58 | 33 | 33 | 65 | 75 | 65 | 21 | 875,000$/1yrs | |||
Justin Hryckowian (R) | 9 | C/LW | 100.00 | 65 | 67 | 89 | 63 | 67 | 55 | 76 | 60 | 59 | 56 | 60 | 59 | 57 | 37 | 37 | 64 | 75 | 64 | 24 | 1,000,000$/4yrs | |||
Graeme Clarke (R) | 95 | LW/RW | 100.00 | 65 | 64 | 86 | 63 | 64 | 56 | 83 | 58 | 45 | 53 | 60 | 47 | 57 | 41 | 41 | 63 | 75 | 63 | 24 | 800,000$/1yrs | |||
Ben McCartney (R) | 0 | LW/RW | 100.00 | 65 | 70 | 74 | 63 | 70 | 54 | 76 | 59 | 61 | 54 | 59 | 53 | 56 | 39 | 39 | 63 | 75 | 63 | 23 | 450,000$/2yrs | |||
Miles Wood | 0 | LW/RW | 100.00 | 70 | 71 | 74 | 76 | 73 | 53 | 45 | 59 | 53 | 62 | 63 | 69 | 54 | 69 | 65 | 63 | 75 | 63 | 29 | 700,000$/2yrs | |||
Curtis Douglas | 42 | C/LW | 100.00 | 66 | 84 | 54 | 64 | 84 | 54 | 80 | 53 | 70 | 44 | 55 | 54 | 51 | 41 | 41 | 62 | 75 | 62 | 25 | 450,000$/2yrs | |||
Anthony Mantha | 39 | LW/RW | 100.00 | 62 | 74 | 82 | 77 | 88 | 59 | 16 | 60 | 53 | 67 | 72 | 69 | 89 | 69 | 59 | 62 | 75 | 62 | 30 | 3,600,000$/2yrs | |||
Brandon Lisowsky (R) | 96 | LW | 100.00 | 65 | 63 | 87 | 64 | 64 | 55 | 75 | 55 | 32 | 47 | 58 | 51 | 55 | 40 | 40 | 61 | 75 | 61 | 21 | 525,000$/1yrs | |||
Jan Jenik (R) | 14 | C/LW/RW | 100.00 | 65 | 70 | 73 | 63 | 70 | 54 | 74 | 56 | 50 | 49 | 57 | 53 | 54 | 37 | 37 | 61 | 75 | 61 | 24 | 775,000$/1yrs | |||
Jimmy Clark (R) | 23 | C/LW | 100.00 | 66 | 65 | 91 | 64 | 65 | 51 | 83 | 50 | 34 | 47 | 48 | 58 | 46 | 33 | 33 | 60 | 75 | 60 | 20 | 450,000$/1yrs | |||
Keaton Middleton (R) | 67 | D | 100.00 | 62 | 67 | 80 | 66 | 91 | 56 | 50 | 54 | 41 | 60 | 56 | 77 | 55 | 59 | 59 | 64 | 75 | 64 | 27 | 450,000$/1yrs | |||
Jett Woo (R) | 4 | D | 100.00 | 65 | 73 | 66 | 64 | 73 | 54 | 83 | 48 | 25 | 41 | 40 | 68 | 38 | 45 | 45 | 62 | 75 | 62 | 24 | 650,000$/1yrs | |||
Spencer Stastney (R) | 81 | D | 100.00 | 57 | 48 | 81 | 83 | 68 | 63 | 28 | 57 | 41 | 62 | 56 | 71 | 55 | 59 | 58 | 61 | 75 | 61 | 25 | 825,000$/2yrs | |||
Victor Mancini (R) | 90 | D | 100.00 | 59 | 48 | 79 | 67 | 85 | 63 | 37 | 58 | 41 | 63 | 58 | 68 | 55 | 57 | 57 | 61 | 75 | 61 | 23 | 1,500,000$/5yrs | |||
Aram Minnetian (R) | 27 | D | 100.00 | 65 | 69 | 84 | 64 | 69 | 53 | 81 | 47 | 25 | 37 | 40 | 65 | 38 | 32 | 32 | 60 | 75 | 60 | 20 | 550,000$/2yrs | |||
Tomas Hamara (R) | 98 | D | 100.00 | 65 | 69 | 81 | 64 | 69 | 54 | 68 | 49 | 25 | 42 | 41 | 58 | 39 | 35 | 35 | 58 | 75 | 58 | 21 | 625,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Rafael Harvey-Pinard | 49 | LW/RW | 100.00 | 65 | 64 | 88 | 63 | 64 | 55 | 66 | 55 | 50 | 55 | 52 | 56 | 49 | 47 | 47 | 60 | 75 | 60 | 26 | 1,100,000$/1yrs | |||
Roni Hirvonen (R) | 52 | C/LW/RW | 100.00 | 65 | 63 | 89 | 63 | 64 | 54 | 72 | 54 | 32 | 47 | 57 | 52 | 54 | 37 | 37 | 60 | 75 | 60 | 23 | 856,667$/1yrs | |||
Jayden Perron (R) | 18 | RW | 100.00 | 64 | 63 | 89 | 63 | 63 | 53 | 78 | 53 | 30 | 47 | 53 | 46 | 49 | 34 | 34 | 60 | 75 | 60 | 20 | 725,000$/2yrs | |||
Matthew Seminoff (R) | 13 | C/RW | 100.00 | 65 | 66 | 87 | 63 | 65 | 51 | 81 | 48 | 27 | 44 | 47 | 56 | 45 | 41 | 41 | 59 | 75 | 59 | 21 | 850,000$/2yrs | |||
Oliver Moore (R) | 41 | C | 100.00 | 63 | 40 | 73 | 75 | 68 | 71 | 11 | 58 | 56 | 75 | 55 | 62 | 54 | 54 | 58 | 59 | 75 | 59 | 20 | 875,000$/2yrs | |||
Raphael Lavoie (R) (C) | 50 | C/RW | 100.00 | 58 | 54 | 70 | 62 | 82 | 65 | 11 | 60 | 56 | 58 | 61 | 63 | 55 | 61 | 57 | 57 | 75 | 57 | 24 | 775,000$/1yrs | |||
Daniil Gushchin (R) | 75 | LW/RW | 100.00 | 58 | 40 | 81 | 63 | 61 | 55 | 14 | 54 | 51 | 61 | 55 | 65 | 54 | 55 | 58 | 55 | 75 | 55 | 23 | 828,334$/1yrs | |||
Topi Niemela (R) | 49 | D | 100.00 | 65 | 66 | 85 | 65 | 66 | 56 | 83 | 50 | 25 | 43 | 40 | 53 | 38 | 38 | 38 | 59 | 75 | 59 | 23 | 856,667$/1yrs | |||
Matthew Mania (R) | 93 | D | 100.00 | 65 | 69 | 79 | 64 | 69 | 52 | 79 | 47 | 25 | 38 | 40 | 53 | 38 | 36 | 36 | 57 | 75 | 57 | 20 | 500,000$/1yrs | |||
John Ludvig (R) | 7 | D | 100.00 | 58 | 52 | 70 | 66 | 77 | 64 | 10 | 57 | 41 | 61 | 55 | 65 | 55 | 61 | 58 | 56 | 75 | 56 | 24 | 450,000$/4yrs | |||
Michael Buchinger (R) | 44 | D | 100.00 | 65 | 69 | 80 | 65 | 69 | 52 | 75 | 46 | 25 | 35 | 40 | 53 | 38 | 36 | 36 | 56 | 75 | 56 | 21 | 450,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Daniil Tarasov | 40 | 100.00 | 65 | 58 | 67 | 89 | 90 | 61 | 72 | 64 | 80 | 69 | 86 | 59 | 55 | 68 | 75 | 68 | 26 | 1,050,000$/1yrs |
Daniil Isayev | 92 | 100.00 | 66 | 55 | 66 | 58 | 66 | 73 | 66 | 66 | 66 | 66 | 59 | 46 | 46 | 60 | 75 | 60 | 25 | 500,000$/1yrs |
| Scratches | ||||||||||||||||||||
Carsen Musser | 32 | 100.00 | 54 | 52 | 63 | 72 | 54 | 61 | 54 | 54 | 54 | 54 | 47 | 32 | 32 | 52 | 75 | 52 | 20 | 475,000$/1yrs |
Vadim Zherenko | 1 | 100.00 | 51 | 53 | 63 | 68 | 51 | 58 | 51 | 51 | 51 | 51 | 44 | 39 | 39 | 50 | 75 | 50 | 24 | 846,667$/1yrs |
Pheonix Copley | 59 | 100.00 | 49 | 56 | 67 | 69 | 49 | 56 | 49 | 49 | 49 | 49 | 42 | 48 | 48 | 49 | 75 | 49 | 33 | 550,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| General Manager |
|---|
| 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 | Nils Hoglander | Assassins (HIT) | LW/RW | 2 | 3 | 2 | 5 | 4 | 0 | 0 | 1 | 9 | 3 | 3 | 33.33% | 0 | 19.28 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 0 | 1 | 80.00% | 5 | 0 | 0 | 0 | 1 | 2.59 | 0 | 0 | |
| 2 | Matias Mantykivi | Assassins (HIT) | C | 2 | 2 | 2 | 4 | 4 | 0 | 0 | 2 | 8 | 3 | 3 | 25.00% | 0 | 19.36 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 0 | 0 | 53.45% | 58 | 0 | 0 | 0 | 0 | 2.07 | 0 | 0 | |
| 3 | Isaac Howard | Assassins (HIT) | LW | 2 | 1 | 2 | 3 | 3 | 0 | 0 | 0 | 7 | 3 | 4 | 14.29% | 0 | 17.68 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 1.70 | 0 | 0 | |
| 4 | Victor Mancini | Assassins (HIT) | D | 2 | 0 | 3 | 3 | 2 | 2 | 0 | 2 | 3 | 0 | 6 | 0.00% | 3 | 20.38 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.47 | 0 | 0 | |
| 5 | Keaton Middleton | Assassins (HIT) | D | 2 | 0 | 3 | 3 | 1 | 2 | 0 | 5 | 2 | 1 | 1 | 0.00% | 3 | 18.72 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.60 | 0 | 0 | |
| 6 | Spencer Stastney | Assassins (HIT) | D | 2 | 0 | 1 | 1 | -3 | 0 | 0 | 1 | 3 | 0 | 2 | 0.00% | 5 | 21.62 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 7 | Ben McCartney | Assassins (HIT) | LW/RW | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 100.00% | 0 | 10.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | |
| 8 | Aram Minnetian | Assassins (HIT) | D | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 4 | 0 | 2 | 0.00% | 2 | 17.16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 9 | Anthony Mantha | Assassins (HIT) | LW/RW | 2 | 1 | 0 | 1 | -2 | 0 | 0 | 1 | 11 | 2 | 7 | 9.09% | 0 | 17.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 10 | Miles Wood | Assassins (HIT) | LW/RW | 2 | 0 | 1 | 1 | -2 | 2 | 0 | 8 | 8 | 4 | 6 | 0.00% | 0 | 18.38 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 100.00% | 4 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 11 | Jett Woo | Assassins (HIT) | D | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 4 | 0 | 2 | 0.00% | 6 | 19.90 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 12 | Curtis Douglas | Assassins (HIT) | C/LW | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 10.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 18 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 13 | Graeme Clarke | Assassins (HIT) | LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 4 | 0.00% | 0 | 13.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 14 | Brandon Lisowsky | Assassins (HIT) | LW | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 3 | 3 | 0 | 1 | 0.00% | 0 | 10.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 15 | Tomas Hamara | Assassins (HIT) | D | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 4 | 0 | 1 | 0.00% | 1 | 19.53 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 16 | Justin Hryckowian | Assassins (HIT) | C/LW | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 3 | 0 | 1 | 0.00% | 0 | 17.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.92% | 52 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 17 | Jan Jenik | Assassins (HIT) | C/LW/RW | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 2 | 2 | 1 | 2 | 0.00% | 0 | 10.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 18 | Jimmy Clark | Assassins (HIT) | C/LW | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 5 | 1 | 1 | 0.00% | 2 | 12.63 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 38.24% | 34 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 36 | 8 | 15 | 23 | -6 | 10 | 0 | 41 | 82 | 20 | 51 | 9.76% | 22 | 16.42 | 0 | 0 | 0 | 49 | 1 | 2 | 3 | 35 | 1 | 1 | 54.05% | 185 | 0 | 0 | 0 | 1 | 0.78 | 0 | 0 |
| 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 | Daniil Tarasov | Assassins (HIT) | 2 | 1 | 0 | 0 | 0.904 | 2.91 | 103 | 0 | 0 | 5 | 52 | 0 | 0 | 0 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 |
| 2 | Daniil Isayev | Assassins (HIT) | 1 | 0 | 1 | 0 | 0.615 | 18.75 | 16 | 0 | 0 | 5 | 13 | 0 | 0 | 0 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 |
| Team Total or Average | 3 | 1 | 1 | 0 | 0.846 | 5.00 | 120 | 0 | 0 | 10 | 65 | 0 | 0 | 0 | 0.000 | 0 | 2 | 2 | 0 | 0 | 0 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Anthony Mantha | LW/RW | 30 | 3,600,000$ | 3,600,000$ | 3,600,000$ | ||||||
| Aram Minnetian | D | 20 | 550,000$ | 550,000$ | 550,000$ | ||||||
| Ben McCartney | LW/RW | 23 | 450,000$ | 450,000$ | 450,000$ | RFA | |||||
| Brandon Lisowsky | LW | 21 | 525,000$ | 525,000$ | |||||||
| Carsen Musser | G | 20 | 475,000$ | 475,000$ | |||||||
| Curtis Douglas | C/LW | 25 | 450,000$ | 450,000$ | 450,000$ | RFA | |||||
| Daniil Gushchin | LW/RW | 23 | 828,334$ | 828,334$ | |||||||
| Daniil Isayev | G | 25 | 500,000$ | 500,000$ | RFA | ||||||
| Daniil Tarasov | G | 26 | 1,050,000$ | 1,050,000$ | RFA | ||||||
| Graeme Clarke | LW/RW | 24 | 800,000$ | 800,000$ | RFA | ||||||
| Isaac Howard | LW | 21 | 875,000$ | 875,000$ | |||||||
| Jan Jenik | C/LW/RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
| Jayden Perron | RW | 20 | 725,000$ | 725,000$ | 725,000$ | ||||||
| Jett Woo | D | 24 | 650,000$ | 650,000$ | RFA | ||||||
| Jimmy Clark | C/LW | 20 | 450,000$ | 450,000$ | |||||||
| John Ludvig | D | 24 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | |||
| Justin Hryckowian | C/LW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||
| Keaton Middleton | D | 27 | 450,000$ | 450,000$ | RFA | ||||||
| Matias Mantykivi | C | 24 | 700,000$ | 700,000$ | RFA | ||||||
| Matthew Mania | D | 20 | 500,000$ | 500,000$ | |||||||
| Matthew Seminoff | C/RW | 21 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Michael Buchinger | D | 21 | 450,000$ | 450,000$ | |||||||
| Miles Wood | LW/RW | 29 | 700,000$ | 700,000$ | 700,000$ | ||||||
| Nils Hoglander | LW/RW | 24 | 1,100,000$ | 1,100,000$ | RFA | ||||||
| Oliver Moore | C | 20 | 875,000$ | 875,000$ | 875,000$ | ||||||
| Pheonix Copley | G | 33 | 550,000$ | 550,000$ | 550,000$ | UFA | |||||
| Rafael Harvey-Pinard | LW/RW | 26 | 1,100,000$ | 1,100,000$ | RFA | ||||||
| Raphael Lavoie | C/RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
| Roni Hirvonen | C/LW/RW | 23 | 856,667$ | 856,667$ | |||||||
| Spencer Stastney | D | 25 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
| Tomas Hamara | D | 21 | 625,000$ | 625,000$ | |||||||
| Topi Niemela | D | 23 | 856,667$ | 856,667$ | |||||||
| Vadim Zherenko | G | 24 | 846,667$ | 846,667$ | RFA | ||||||
| Victor Mancini | D | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ |
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| 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 | Bulldogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7.00 | 4.00 | 3.00 | 2 | 1.000 | 7.0 | 13.0 | 20.0 | 0 | 0 | 1 | 4 | 3 | 0 | 44.0 | 28 | 33 | 21 | 0 | 30.0 | 8.0 | 8.00 | 24.0 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 1 | 40 | 81 | 49.38% | 40 | 70 | 57.14% | 20 | 34 | 58.82% | 45.00 | 31.00 | 47.00 | 15.00 | 26.00 | 13.00 | 70.0% | 15.9% | 86.7% | 102.6 | FUN |
| 2 | Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 6.00 | -5.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 1 | 4 | 3 | 0 | 38.0 | 28 | 33 | 21 | 0 | 35.0 | 14.0 | 2.00 | 17.0 | 3.00 | 0.00 | 0.00% | 1.00 | 0.00 | 100.00% | 0 | 40 | 81 | 49.38% | 40 | 70 | 57.14% | 20 | 34 | 58.82% | 45.00 | 31.00 | 47.00 | 15.00 | 26.00 | 13.00 | 14.3% | 2.6% | 82.9% | 85.5 | Unlucky |
| _Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 0 | 0 | 1 | 4 | 3 | 0 | 41.0 | 28 | 33 | 21 | 0 | 32.5 | 11.0 | 5.00 | 20.5 | 2.50 | 0.00 | 0.00% | 2.50 | 0.50 | 80.00% | 1 | 40 | 81 | 49.38% | 40 | 70 | 57.14% | 20 | 34 | 58.82% | 22.50 | 15.50 | 23.50 | 7.50 | 13.00 | 6.50 | 47.1% | 9.8% | 84.6% | 94.4 | FUN | |
| _Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 0 | 0 | 1 | 4 | 3 | 0 | 41.0 | 28 | 33 | 21 | 0 | 32.5 | 11.0 | 5.00 | 20.5 | 2.50 | 0.00 | 0.00% | 2.50 | 0.50 | 80.00% | 1 | 40 | 81 | 49.38% | 40 | 70 | 57.14% | 20 | 34 | 58.82% | 22.50 | 15.50 | 23.50 | 7.50 | 13.00 | 6.50 | 47.1% | 9.8% | 84.6% | 94.4 | FUN | |
| _Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 0 | 0 | 1 | 4 | 3 | 0 | 41.0 | 28 | 33 | 21 | 0 | 32.5 | 11.0 | 5.00 | 20.5 | 2.50 | 0.00 | 0.00% | 2.50 | 0.50 | 80.00% | 1 | 40 | 81 | 49.38% | 40 | 70 | 57.14% | 20 | 34 | 58.82% | 22.50 | 15.50 | 23.50 | 7.50 | 13.00 | 6.50 | 47.1% | 9.8% | 84.6% | 94.4 | FUN | |
| Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 0 | 0 | 1 | 4 | 3 | 0 | 41.0 | 28 | 33 | 21 | 0 | 32.5 | 11.0 | 5.00 | 20.5 | 2.50 | 0.00 | 0.00% | 2.50 | 0.50 | 80.00% | 1 | 40 | 81 | 49.38% | 40 | 70 | 57.14% | 20 | 34 | 58.82% | 22.50 | 15.50 | 23.50 | 7.50 | 13.00 | 6.50 | 47.1% | 9.8% | 84.6% | 94.4 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 81 |
| Neutral Zone Start | 34 |
| Defensive Zone Start | 70 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 100 |
| Faceoffs Lost | 85 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 14.0 | 9.57 |
| 2nd Period | 30.5 | 20.31 |
| 3rd Period | 41.0 | 30.68 |
| Overtime | 41.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 2.5 | 1.65 |
| 3rd Period | 4.0 | 2.67 |
| Overtime | 4.0 | 2.83 |
| Even Strenght Goal | 7 |
|---|---|
| PP Goal | 0 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 1 | 0 |
| Lost | 1 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 5 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 5 |
| PK Goal Against | 1 |
| Home | |
|---|---|
| Shots For | 41.0 |
| Shots Against | 32.5 |
| Goals For | 4.0 |
| Goals Against | 5.0 |
| Hits | 20.5 |
| Shots Blocked | 11.0 |
| Pim | 5.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | BUL | @ | ASS | BUL4,ASS7 | RECAP | |||||||||
| 2 | SEN | @ | ASS | SEN6,ASS1 | RECAP | |||||||||
| 4 | CAN | @ | ASS | |||||||||||
| 6 | IND | @ | ASS | |||||||||||
| 7 | BLA | @ | ASS | |||||||||||
| 10 | ASS | @ | IND | |||||||||||
| 13 | ASS | @ | VEN | |||||||||||
| 15 | ASS | @ | EAG | |||||||||||
| 17 | ASS | @ | SQU | |||||||||||
| 20 | ASS | @ | OHK | |||||||||||
| 23 | ASS | @ | SEN | |||||||||||
| 24 | SPA | @ | ASS | |||||||||||
| 26 | ASS | @ | IND | |||||||||||
| 29 | ASS | @ | BLA | |||||||||||
| 31 | ASS | @ | KAN | |||||||||||
| 34 | VIK | @ | ASS | |||||||||||
| 36 | IND | @ | ASS | |||||||||||
| 37 | GRG | @ | ASS | |||||||||||
| 39 | ASS | @ | BLA | |||||||||||
| 41 | JWO | @ | ASS | |||||||||||
| 43 | THI | @ | ASS | |||||||||||
| 44 | ASS | @ | IND | |||||||||||
| 46 | ASS | @ | THI | |||||||||||
| 48 | ASS | @ | GRG | |||||||||||
| 51 | JWO | @ | ASS | |||||||||||
| 53 | ASS | @ | KAN | |||||||||||
| 54 | ASS | @ | BUL | |||||||||||
| 57 | ZOL | @ | ASS | |||||||||||
| 58 | SQU | @ | ASS | |||||||||||
| 62 | ASS | @ | BUL | |||||||||||
| 64 | SAI | @ | ASS | |||||||||||
| 68 | ASS | @ | BKS | |||||||||||
| 70 | ASS | @ | DEV | |||||||||||
| 72 | ASS | @ | BAR | |||||||||||
| 77 | ASS | @ | IND | |||||||||||
| 79 | ASS | @ | SHO | |||||||||||
| 82 | SEN | @ | ASS | |||||||||||
| 84 | OHK | @ | ASS | |||||||||||
| 87 | ASS | @ | SPA | |||||||||||
| 88 | CAN | @ | ASS | |||||||||||
| 92 | SHA | @ | ASS | |||||||||||
| 93 | ASS | @ | ZOL | |||||||||||
| 95 | KAN | @ | ASS | |||||||||||
| 97 | ASS | @ | PIM | |||||||||||
| 99 | ASS | @ | JWO | |||||||||||
| 101 | RAV | @ | ASS | |||||||||||
| 102 | ASS | @ | SEN | |||||||||||
| 104 | ASS | @ | NIN | |||||||||||
| 106 | EAG | @ | ASS | |||||||||||
| 108 | BLA | @ | ASS | |||||||||||
| 109 | ASS | @ | KAN | |||||||||||
| 112 | ASS | @ | NIN | |||||||||||
| 114 | BUL | @ | ASS | |||||||||||
| 117 | NIN | @ | ASS | |||||||||||
| 120 | ASS | @ | CHE | |||||||||||
| 127 | ASS | @ | RAV | |||||||||||
| 130 | ASS | @ | BKS | |||||||||||
| 136 | ASS | @ | DEV | |||||||||||
| 140 | ASS | @ | VIK | |||||||||||
| 143 | CHE | @ | ASS | |||||||||||
| 145 | SEN | @ | ASS | |||||||||||
| 147 | SQU | @ | ASS | |||||||||||
| 149 | BAR | @ | ASS | |||||||||||
| Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
| 152 | ASS | @ | RAV | |||||||||||
| 156 | ASS | @ | SHA | |||||||||||
| 159 | PIM | @ | ASS | |||||||||||
| 162 | BKS | @ | ASS | |||||||||||
| 164 | NIN | @ | ASS | |||||||||||
| 166 | RAV | @ | ASS | |||||||||||
| 169 | ASS | @ | SAI | |||||||||||
| 171 | ASS | @ | WPK | |||||||||||
| 174 | ASS | @ | BLA | |||||||||||
| 175 | ASS | @ | CAN | |||||||||||
| 177 | VEN | @ | ASS | |||||||||||
| 179 | NIN | @ | ASS | |||||||||||
| 182 | WPK | @ | ASS | |||||||||||
| 184 | PIM | @ | ASS | |||||||||||
| 185 | BAR | @ | ASS | |||||||||||
| 187 | ASS | @ | BUL | |||||||||||
| 189 | KAN | @ | ASS | |||||||||||
| 191 | DEV | @ | ASS | |||||||||||
| 192 | SHO | @ | ASS | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,771,334$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | London | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 3078 | 1580 | |||
| Attendance PCT | 76.95% | 79.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 39 | 2329 - 77.63% | 65,715$ | 131,430$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,771,334$ | 2,771,334$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 42,855$ | 14,285$ | 42,855$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 2,562,885$ | 191 | 14,285$ | 2,728,435$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,728,435$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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