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Full Scoreboard >> |
![]() | Bellefeueille Pimps 47-23-7, 101pts · 3rd 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mackie Samoskevich (R) | 0 | C/RW | 99.00 | 77 | 40 | 91 | 79 | 66 | 58 | 87 | 66 | 51 | 65 | 70 | 68 | 54 | 56 | 58 | 74 | 75 | 74 | 22 | 925,000$/1yrs | |||
Kasperi Kapanen | 0 | LW/RW | 100.00 | 69 | 40 | 88 | 74 | 72 | 55 | 81 | 60 | 65 | 63 | 63 | 69 | 54 | 70 | 59 | 69 | 75 | 69 | 28 | 1,600,000$/1yrs | |||
Zachary L'Heureux (R) | 0 | C/LW | 100.00 | 80 | 72 | 83 | 71 | 71 | 55 | 75 | 61 | 52 | 64 | 63 | 73 | 54 | 56 | 58 | 69 | 75 | 69 | 22 | 863,334$/2yrs | |||
Joey Muldowney (R) | 0 | RW | 100.00 | 64 | 61 | 88 | 63 | 61 | 56 | 80 | 60 | 45 | 56 | 60 | 59 | 57 | 33 | 33 | 64 | 75 | 64 | 21 | 450,000$/1yrs | |||
Jagger Firkus (R) | 0 | RW | 100.00 | 64 | 61 | 90 | 63 | 61 | 56 | 85 | 56 | 30 | 49 | 58 | 57 | 55 | 40 | 40 | 63 | 75 | 63 | 21 | 875,000$/1yrs | |||
Jan Mysak (R) | 0 | C/LW | 100.00 | 65 | 66 | 91 | 63 | 66 | 55 | 80 | 59 | 52 | 54 | 60 | 51 | 57 | 38 | 38 | 63 | 75 | 63 | 23 | 828,333$/1yrs | |||
Sam Harris (R) | 0 | LW | 100.00 | 64 | 66 | 78 | 64 | 66 | 55 | 86 | 56 | 39 | 48 | 58 | 55 | 55 | 33 | 33 | 63 | 75 | 63 | 21 | 475,000$/2yrs | |||
Nathan Legare (R) | 0 | LW/RW | 100.00 | 65 | 72 | 69 | 63 | 73 | 53 | 85 | 54 | 52 | 47 | 57 | 54 | 53 | 41 | 41 | 61 | 75 | 61 | 24 | 450,000$/3yrs | |||
Cam Atkinson | 0 | LW/RW | 100.00 | 67 | 66 | 90 | 66 | 62 | 47 | 47 | 60 | 52 | 63 | 63 | 63 | 58 | 78 | 65 | 61 | 75 | 61 | 36 | 3,000,000$/1yrs | |||
Kasper Halttunen (R) | 0 | LW/RW | 100.00 | 67 | 77 | 78 | 64 | 77 | 54 | 72 | 55 | 61 | 47 | 58 | 53 | 55 | 36 | 36 | 61 | 75 | 61 | 20 | 725,000$/2yrs | |||
Koehn Ziemmer (R) | 0 | C/RW | 100.00 | 66 | 73 | 82 | 64 | 74 | 55 | 80 | 55 | 52 | 46 | 59 | 49 | 55 | 38 | 38 | 61 | 75 | 61 | 20 | 625,000$/2yrs | |||
Bryce McConnell-Barker (R) | 0 | C | 100.00 | 66 | 70 | 87 | 63 | 70 | 53 | 81 | 49 | 45 | 44 | 48 | 56 | 45 | 37 | 37 | 60 | 75 | 60 | 21 | 625,000$/1yrs | |||
Michal Teply (R) | 11 | LW/RW | 100.00 | 66 | 70 | 91 | 63 | 70 | 52 | 85 | 50 | 41 | 45 | 48 | 52 | 45 | 38 | 38 | 60 | 75 | 60 | 24 | 450,000$/3yrs | |||
Lassi Thomson (R) | 0 | D | 100.00 | 65 | 68 | 82 | 68 | 68 | 58 | 85 | 55 | 25 | 46 | 50 | 60 | 47 | 39 | 39 | 63 | 75 | 63 | 24 | 450,000$/2yrs | |||
David Reinbacher (R) | 0 | D | 100.00 | 65 | 69 | 72 | 65 | 69 | 57 | 57 | 54 | 25 | 45 | 49 | 77 | 47 | 33 | 33 | 62 | 75 | 62 | 20 | 875,000$/2yrs | |||
Ryan Mast (R) | 0 | D | 100.00 | 65 | 79 | 78 | 63 | 79 | 52 | 66 | 46 | 25 | 36 | 40 | 68 | 38 | 37 | 37 | 59 | 75 | 59 | 22 | 830,556$/2yrs | |||
Luke Coughlin (R) | 0 | D | 100.00 | 65 | 65 | 82 | 64 | 64 | 53 | 75 | 46 | 25 | 36 | 41 | 61 | 39 | 35 | 35 | 58 | 75 | 58 | 20 | 475,000$/2yrs | |||
Corson Ceulemans (R) | 0 | D | 100.00 | 65 | 73 | 76 | 64 | 74 | 51 | 67 | 47 | 25 | 36 | 41 | 62 | 39 | 33 | 33 | 57 | 75 | 57 | 22 | 925,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Eetu Liukas (R) | 0 | LW | 100.00 | 66 | 75 | 81 | 62 | 75 | 54 | 73 | 49 | 50 | 44 | 48 | 46 | 46 | 36 | 36 | 58 | 75 | 58 | 22 | 867,500$/2yrs | |||
Jordan Gustafson (R) | 0 | C | 100.00 | 64 | 67 | 71 | 64 | 67 | 54 | 54 | 55 | 47 | 48 | 57 | 57 | 53 | 37 | 37 | 58 | 75 | 58 | 21 | 625,000$/1yrs | |||
Beckett Hendrickson (R) | 0 | C/LW | 100.00 | 65 | 67 | 88 | 62 | 67 | 51 | 75 | 48 | 32 | 44 | 47 | 48 | 45 | 34 | 34 | 58 | 75 | 58 | 20 | 550,000$/2yrs | |||
Shane Bowers (R) | 0 | C/LW/RW | 100.00 | 66 | 69 | 88 | 62 | 68 | 52 | 81 | 49 | 36 | 45 | 47 | 49 | 45 | 41 | 41 | 58 | 75 | 58 | 25 | 450,000$/3yrs | |||
Danny Zhilkin (R) | 0 | C | 100.00 | 66 | 69 | 91 | 62 | 70 | 51 | 72 | 48 | 47 | 45 | 47 | 45 | 45 | 36 | 36 | 57 | 75 | 57 | 21 | 625,000$/1yrs | |||
Emil Jarventie (R) | 0 | LW | 100.00 | 65 | 63 | 90 | 62 | 62 | 49 | 62 | 47 | 25 | 42 | 46 | 52 | 44 | 33 | 33 | 55 | 75 | 55 | 20 | 500,000$/2yrs | |||
Kalle Kangas (R) | 0 | D | 100.00 | 65 | 77 | 83 | 63 | 78 | 51 | 76 | 45 | 25 | 34 | 40 | 54 | 37 | 32 | 32 | 57 | 75 | 57 | 20 | 450,000$/2yrs | |||
Simon Lundmark (R) | 0 | D | 100.00 | 65 | 70 | 84 | 65 | 70 | 53 | 84 | 46 | 25 | 36 | 41 | 49 | 39 | 37 | 37 | 57 | 75 | 57 | 24 | 450,000$/2yrs | |||
Aleksi Heimosalmi (R) | 0 | D | 100.00 | 65 | 66 | 83 | 65 | 66 | 55 | 77 | 47 | 25 | 36 | 41 | 47 | 39 | 34 | 34 | 56 | 75 | 56 | 22 | 450,000$/2yrs | |||
Eemil Viro (R) | 0 | D | 100.00 | 65 | 67 | 80 | 64 | 67 | 53 | 73 | 44 | 25 | 32 | 39 | 52 | 37 | 39 | 39 | 55 | 75 | 55 | 23 | 828,333$/1yrs | |||
Kim Nousiainen (R) | 0 | D | 100.00 | 65 | 64 | 66 | 64 | 64 | 53 | 74 | 46 | 25 | 36 | 40 | 45 | 38 | 37 | 37 | 55 | 75 | 55 | 24 | 450,000$/3yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Justus Annunen | 0 | 99.00 | 73 | 70 | 76 | 88 | 89 | 84 | 75 | 62 | 83 | 66 | 56 | 57 | 55 | 73 | 75 | 73 | 25 | 837,500$/2yrs |
Aleksei Kolosov | 0 | 100.00 | 63 | 67 | 64 | 69 | 63 | 73 | 67 | 62 | 65 | 65 | 59 | 58 | 55 | 60 | 75 | 60 | 23 | 500,000$/4yrs |
| Scratches | ||||||||||||||||||||
Hugo Ollas | 0 | 100.00 | 45 | 71 | 63 | 77 | 45 | 52 | 45 | 45 | 45 | 45 | 38 | 33 | 33 | 47 | 75 | 47 | 23 | 450,000$/2yrs |
Cameron Whitehead | 0 | 100.00 | 41 | 76 | 65 | 66 | 41 | 48 | 41 | 41 | 41 | 41 | 34 | 35 | 35 | 45 | 75 | 45 | 22 | 500,000$/1yrs |
| 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 | Mackie Samoskevich | Pimps (AVG) | C/RW | 77 | 47 | 63 | 110 | 26 | 24 | 0 | 149 | 374 | 115 | 271 | 12.57% | 30 | 22.05 | 7 | 7 | 14 | 2 | 0 | 2 | 215 | 5 | 5 | 44.67% | 2234 | 0 | 0 | 0 | 2 | 1.30 | 0 | 7 | |
| 2 | Zachary L'Heureux | Pimps (AVG) | C/LW | 63 | 34 | 49 | 83 | 31 | 51 | 5 | 156 | 275 | 78 | 175 | 12.36% | 27 | 18.05 | 1 | 10 | 11 | 1 | 1 | 2 | 118 | 6 | 1 | 47.30% | 909 | 0 | 0 | 0 | 1 | 1.46 | 1 | 5 | |
| 3 | Kasperi Kapanen | Pimps (AVG) | LW/RW | 64 | 32 | 38 | 70 | 25 | 18 | 0 | 93 | 272 | 67 | 184 | 11.76% | 25 | 19.21 | 3 | 5 | 8 | 0 | 0 | 0 | 128 | 3 | 2 | 60.00% | 165 | 0 | 0 | 0 | 0 | 1.14 | 3 | 6 | |
| 4 | Jagger Firkus | Pimps (AVG) | RW | 76 | 30 | 37 | 67 | 25 | 18 | 0 | 63 | 218 | 65 | 154 | 13.76% | 14 | 17.97 | 6 | 6 | 12 | 1 | 0 | 1 | 51 | 6 | 0 | 29.55% | 88 | 0 | 0 | 0 | 1 | 0.98 | 0 | 1 | |
| 5 | Sam Harris | Pimps (AVG) | LW | 77 | 23 | 30 | 53 | 30 | 40 | 0 | 108 | 204 | 57 | 115 | 11.27% | 26 | 18.58 | 1 | 7 | 8 | 0 | 0 | 0 | 91 | 4 | 2 | 35.51% | 107 | 0 | 0 | 0 | 0 | 0.74 | 0 | 2 | |
| 6 | Joey Muldowney | Pimps (AVG) | RW | 67 | 24 | 25 | 49 | 20 | 4 | 0 | 56 | 160 | 37 | 79 | 15.00% | 11 | 15.25 | 1 | 3 | 4 | 0 | 1 | 1 | 65 | 6 | 0 | 36.44% | 450 | 0 | 0 | 0 | 3 | 0.96 | 0 | 1 | |
| 7 | Jan Mysak | Pimps (AVG) | C/LW | 77 | 19 | 30 | 49 | 12 | 10 | 0 | 79 | 169 | 45 | 95 | 11.24% | 10 | 15.55 | 4 | 5 | 9 | 0 | 0 | 0 | 6 | 2 | 1 | 46.15% | 1194 | 0 | 0 | 0 | 0 | 0.82 | 1 | 1 | |
| 8 | Cam Atkinson | Pimps (AVG) | LW/RW | 62 | 23 | 23 | 46 | 0 | 12 | 0 | 56 | 155 | 44 | 109 | 14.84% | 15 | 14.70 | 1 | 1 | 2 | 0 | 0 | 0 | 40 | 1 | 2 | 47.42% | 97 | 0 | 0 | 0 | 1 | 1.01 | 0 | 1 | |
| 9 | Lassi Thomson | Pimps (AVG) | D | 67 | 4 | 35 | 39 | 17 | 28 | 0 | 115 | 78 | 35 | 55 | 5.13% | 95 | 23.23 | 0 | 5 | 5 | 0 | 2 | 2 | 157 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.50 | 0 | 0 | |
| 10 | Ryan Mast | Pimps (AVG) | D | 53 | 14 | 25 | 39 | 20 | 34 | 0 | 112 | 66 | 19 | 31 | 21.21% | 72 | 20.96 | 5 | 0 | 5 | 0 | 1 | 1 | 117 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
| 11 | David Reinbacher | Pimps (AVG) | D | 44 | 8 | 30 | 38 | 3 | 44 | 0 | 93 | 82 | 24 | 66 | 9.76% | 84 | 22.14 | 5 | 3 | 8 | 0 | 0 | 0 | 93 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |
| 12 | Nathan Legare | Pimps (AVG) | LW/RW | 77 | 14 | 16 | 30 | 5 | 39 | 5 | 137 | 128 | 30 | 93 | 10.94% | 36 | 16.85 | 1 | 0 | 1 | 0 | 0 | 0 | 67 | 4 | 1 | 54.10% | 61 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 13 | Kasper Halttunen | Pimps (AVG) | LW/RW | 63 | 9 | 21 | 30 | 15 | 21 | 5 | 73 | 126 | 33 | 67 | 7.14% | 4 | 12.33 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 51.72% | 406 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | |
| 14 | Corson Ceulemans | Pimps (AVG) | D | 34 | 3 | 20 | 23 | 10 | 28 | 0 | 63 | 32 | 10 | 25 | 9.38% | 53 | 17.18 | 0 | 1 | 1 | 1 | 1 | 2 | 30 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
| 15 | Simon Lundmark | Pimps (AVG) | D | 65 | 1 | 19 | 20 | 35 | 26 | 0 | 89 | 28 | 8 | 22 | 3.57% | 64 | 18.92 | 0 | 4 | 4 | 0 | 0 | 0 | 102 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 16 | Bryce McConnell-Barker | Pimps (AVG) | C | 44 | 5 | 10 | 15 | -9 | 12 | 0 | 26 | 62 | 17 | 40 | 8.06% | 10 | 10.40 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 41.42% | 507 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
| 17 | Jordan Gustafson | Pimps (AVG) | C | 34 | 6 | 8 | 14 | -4 | 8 | 0 | 25 | 43 | 9 | 24 | 13.95% | 4 | 8.16 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 1 | 1 | 44.80% | 346 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | |
| 18 | Luke Coughlin | Pimps (AVG) | D | 43 | 3 | 11 | 14 | 17 | 24 | 0 | 66 | 40 | 14 | 24 | 7.50% | 52 | 20.59 | 1 | 1 | 2 | 0 | 0 | 0 | 93 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 19 | Michal Teply | Pimps (AVG) | LW/RW | 56 | 4 | 8 | 12 | -16 | 8 | 0 | 35 | 52 | 19 | 55 | 7.69% | 8 | 11.11 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 38.64% | 44 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 20 | Koehn Ziemmer | Pimps (AVG) | C/RW | 16 | 4 | 5 | 9 | 5 | 6 | 0 | 9 | 9 | 6 | 9 | 44.44% | 5 | 8.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 50.51% | 99 | 0 | 0 | 0 | 0 | 1.29 | 0 | 0 | |
| 21 | Aleksi Heimosalmi | Pimps (AVG) | D | 30 | 0 | 7 | 7 | 5 | 16 | 0 | 58 | 11 | 3 | 4 | 0.00% | 22 | 16.68 | 0 | 1 | 1 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 22 | Beckett Hendrickson | Pimps (AVG) | C/LW | 39 | 2 | 4 | 6 | -5 | 4 | 0 | 9 | 31 | 5 | 16 | 6.45% | 4 | 7.21 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 35.56% | 239 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 23 | Eemil Viro | Pimps (AVG) | D | 34 | 1 | 4 | 5 | 8 | 30 | 0 | 72 | 19 | 5 | 14 | 5.26% | 39 | 18.95 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
| 24 | Shane Bowers | Pimps (AVG) | C/LW/RW | 38 | 3 | 2 | 5 | -7 | 4 | 0 | 9 | 25 | 6 | 20 | 12.00% | 4 | 7.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 45.16% | 62 | 0 | 0 | 0 | 1 | 0.34 | 0 | 0 | |
| 25 | Kalle Kangas | Pimps (AVG) | D | 6 | 0 | 1 | 1 | 3 | 2 | 0 | 6 | 6 | 3 | 1 | 0.00% | 6 | 16.74 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 26 | Eetu Liukas | Pimps (AVG) | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 2 | 0.00% | 0 | 7.99 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 27 | Danny Zhilkin | Pimps (AVG) | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 14.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 28 | Emil Jarventie | Pimps (AVG) | LW | 33 | 0 | 0 | 0 | 1 | 2 | 0 | 5 | 3 | 0 | 3 | 0.00% | 1 | 2.88 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 34.00% | 50 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 1343 | 313 | 521 | 834 | 271 | 513 | 15 | 1764 | 2671 | 755 | 1753 | 11.72% | 721 | 16.27 | 36 | 59 | 95 | 1756 | 5 | 6 | 11 | 1550 | 43 | 20 | 44.71% | 7072 | 0 | 0 | 1 | 9 | 0.76 | 5 | 24 |
| 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 | Justus Annunen | Pimps (AVG) | 52 | 36 | 10 | 4 | 0.910 | 3.06 | 3020 | 4 | 0 | 154 | 1714 | 0 | 5 | 1 | 0.870 | 23 | 50 | 17 | 5 | 0 | 2 |
| 2 | Aleksei Kolosov | Pimps (AVG) | 25 | 9 | 10 | 2 | 0.885 | 4.43 | 1314 | 2 | 0 | 97 | 842 | 0 | 2 | 0 | 0.667 | 3 | 21 | 56 | 0 | 2 | 0 |
| 3 | Hugo Ollas | Pimps (AVG) | 7 | 2 | 3 | 1 | 0.854 | 5.09 | 342 | 0 | 0 | 29 | 198 | 0 | 0 | 1 | 0.000 | 0 | 6 | 4 | 0 | 0 | 0 |
| Team Total or Average | 84 | 47 | 23 | 7 | 0.898 | 3.59 | 4676 | 6 | 0 | 280 | 2754 | 0 | 7 | 2 | 0.846 | 26 | 77 | 77 | 5 | 2 | 2 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Aleksei Kolosov | G | 23 | 500,000$ | 500,000$ | 500,000$ | 500,000$ | 500,000$ | ||||
| Aleksi Heimosalmi | D | 22 | 450,000$ | 450,000$ | 450,000$ | ||||||
| Beckett Hendrickson | C/LW | 20 | 550,000$ | 550,000$ | 550,000$ | ||||||
| Bryce McConnell-Barker | C | 21 | 625,000$ | 625,000$ | |||||||
| Cam Atkinson | LW/RW | 36 | 3,000,000$ | 3,000,000$ | UFA | ||||||
| Cameron Whitehead | G | 22 | 500,000$ | 500,000$ | |||||||
| Corson Ceulemans | D | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
| Danny Zhilkin | C | 21 | 625,000$ | 625,000$ | |||||||
| David Reinbacher | D | 20 | 875,000$ | 875,000$ | 875,000$ | ||||||
| Eemil Viro | D | 23 | 828,333$ | 828,333$ | |||||||
| Eetu Liukas | LW | 22 | 867,500$ | 867,500$ | 867,500$ | ||||||
| Emil Jarventie | LW | 20 | 500,000$ | 500,000$ | 500,000$ | ||||||
| Hugo Ollas | G | 23 | 450,000$ | 450,000$ | 450,000$ | ||||||
| Jagger Firkus | RW | 21 | 875,000$ | 875,000$ | |||||||
| Jan Mysak | C/LW | 23 | 828,333$ | 828,333$ | |||||||
| Joey Muldowney | RW | 21 | 450,000$ | 450,000$ | |||||||
| Jordan Gustafson | C | 21 | 625,000$ | 625,000$ | |||||||
| Justus Annunen | G | 25 | 837,500$ | 837,500$ | 837,500$ | RFA | |||||
| Kalle Kangas | D | 20 | 450,000$ | 450,000$ | 450,000$ | ||||||
| Kasper Halttunen | LW/RW | 20 | 725,000$ | 725,000$ | 725,000$ | ||||||
| Kasperi Kapanen | LW/RW | 28 | 1,600,000$ | 1,600,000$ | RFA | ||||||
| Kim Nousiainen | D | 24 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | ||||
| Koehn Ziemmer | C/RW | 20 | 625,000$ | 625,000$ | 625,000$ | ||||||
| Lassi Thomson | D | 24 | 450,000$ | 450,000$ | 450,000$ | RFA | |||||
| Luke Coughlin | D | 20 | 475,000$ | 475,000$ | 475,000$ | ||||||
| Mackie Samoskevich | C/RW | 22 | 925,000$ | 925,000$ | |||||||
| Michal Teply | LW/RW | 24 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | ||||
| Nathan Legare | LW/RW | 24 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | ||||
| Ryan Mast | D | 22 | 830,556$ | 830,556$ | 830,556$ | ||||||
| Sam Harris | LW | 21 | 475,000$ | 475,000$ | 475,000$ | ||||||
| Shane Bowers | C/LW/RW | 25 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | ||||
| Simon Lundmark | D | 24 | 450,000$ | 450,000$ | 450,000$ | RFA | |||||
| Zachary L'Heureux | C/LW | 22 | 863,334$ | 863,334$ | 863,334$ |
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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 | HK | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.00 | 0.00 | 2 | 0.500 | 4.0 | 6.5 | 10.5 | 0 | 0 | 130 | 96 | 86 | 11 | 33.0 | 874 | 936 | 853 | 70 | 36.0 | 10.5 | 4.00 | 23.0 | 4.50 | 0.50 | 11.11% | 1.00 | 0.50 | 50.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 50.0% | 12.1% | 88.9% | 101.0 | FUN |
| 2 | Ninjas | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5.00 | 4.67 | 0.33 | 3 | 0.500 | 5.0 | 8.3 | 13.3 | 0 | 0 | 130 | 96 | 86 | 11 | 38.0 | 874 | 936 | 853 | 70 | 33.3 | 12.3 | 11.33 | 23.7 | 1.67 | 0.33 | 20.00% | 5.67 | 1.33 | 76.47% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 570.00 | 378.00 | 637.67 | 203.33 | 352.67 | 170.00 | 58.3% | 13.2% | 86.0% | 99.2 | FUN |
| 3 | Junior Wolves | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 3.25 | 2.75 | 0.50 | 5 | 0.625 | 3.3 | 5.0 | 8.3 | 0 | 0 | 130 | 96 | 86 | 11 | 32.0 | 874 | 936 | 853 | 70 | 34.5 | 9.5 | 6.00 | 21.0 | 1.50 | 0.50 | 33.33% | 2.75 | 0.75 | 72.73% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 427.50 | 283.50 | 478.25 | 152.50 | 264.50 | 127.50 | 57.9% | 10.2% | 92.0% | 102.2 | LUCKY |
| 4 | Bulldogs | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 4.67 | 2.33 | 2.33 | 6 | 1.000 | 4.7 | 7.7 | 12.3 | 0 | 0 | 130 | 96 | 86 | 11 | 33.7 | 874 | 936 | 853 | 70 | 33.3 | 8.0 | 5.33 | 20.0 | 3.00 | 0.67 | 22.22% | 2.67 | 0.00 | 100.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 570.00 | 378.00 | 637.67 | 203.33 | 352.67 | 170.00 | 63.2% | 13.9% | 93.0% | 106.9 | LUCKY |
| 5 | Shockers | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4.00 | 5.50 | -1.50 | 2 | 0.500 | 4.0 | 6.0 | 10.0 | 0 | 0 | 130 | 96 | 86 | 11 | 31.0 | 874 | 936 | 853 | 70 | 45.0 | 11.5 | 6.00 | 27.5 | 1.50 | 0.00 | 0.00% | 3.00 | 0.50 | 83.33% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 44.4% | 12.9% | 87.8% | 100.7 | FUN |
| 6 | Gargoyles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.50 | -0.50 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 130 | 96 | 86 | 11 | 46.5 | 874 | 936 | 853 | 70 | 24.0 | 5.0 | 3.00 | 28.0 | 6.50 | 0.50 | 7.69% | 1.00 | 0.50 | 50.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 45.5% | 6.5% | 85.4% | 91.9 | Unlucky |
| 7 | Sailors | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3.50 | 4.50 | -1.00 | 1 | 0.250 | 3.5 | 6.0 | 9.5 | 0 | 0 | 130 | 96 | 86 | 11 | 25.0 | 874 | 936 | 853 | 70 | 41.5 | 12.0 | 6.00 | 23.5 | 2.00 | 1.50 | 75.00% | 3.00 | 0.00 | 100.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 30.8% | 14.0% | 89.2% | 103.2 | FUN |
| 8 | Devils | 4 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 4.00 | 3.50 | 0.50 | 6 | 0.750 | 4.0 | 7.0 | 11.0 | 0 | 0 | 130 | 96 | 86 | 11 | 36.8 | 874 | 936 | 853 | 70 | 32.5 | 8.8 | 5.00 | 21.3 | 3.50 | 0.25 | 7.14% | 2.50 | 0.25 | 90.00% | 1 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 427.50 | 283.50 | 478.25 | 152.50 | 264.50 | 127.50 | 53.6% | 10.9% | 89.2% | 100.1 | FUN |
| 9 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 5.5 | 9.0 | 0 | 0 | 130 | 96 | 86 | 11 | 37.5 | 874 | 936 | 853 | 70 | 43.5 | 12.5 | 6.00 | 28.0 | 3.50 | 0.50 | 14.29% | 3.00 | 0.00 | 100.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 42.9% | 9.3% | 90.8% | 100.1 | FUN |
| 10 | Ravens | 6 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 5.00 | 3.33 | 1.67 | 10 | 0.833 | 5.0 | 8.0 | 13.0 | 0 | 0 | 130 | 96 | 86 | 11 | 34.8 | 874 | 936 | 853 | 70 | 34.8 | 6.8 | 6.67 | 24.7 | 2.33 | 0.00 | 0.00% | 3.00 | 0.50 | 83.33% | 1 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 285.00 | 189.00 | 318.83 | 101.67 | 176.33 | 85.00 | 63.8% | 14.4% | 90.4% | 104.8 | FUN |
| 11 | Venom | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4.50 | 4.50 | 0.00 | 2 | 0.500 | 4.5 | 6.5 | 11.0 | 0 | 0 | 130 | 96 | 86 | 11 | 40.0 | 874 | 936 | 853 | 70 | 41.0 | 13.5 | 11.00 | 23.5 | 3.50 | 0.50 | 14.29% | 5.00 | 1.50 | 70.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 57.1% | 11.3% | 89.0% | 100.3 | FUN |
| 12 | Indians | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 3.67 | 3.00 | 0.67 | 5 | 0.833 | 3.7 | 6.0 | 9.7 | 0 | 0 | 130 | 96 | 86 | 11 | 41.0 | 874 | 936 | 853 | 70 | 41.3 | 13.0 | 4.67 | 26.0 | 1.33 | 0.00 | 0.00% | 2.33 | 0.00 | 100.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 570.00 | 378.00 | 637.67 | 203.33 | 352.67 | 170.00 | 55.0% | 8.9% | 92.7% | 101.7 | Unlucky |
| 13 | Squirrels | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5.00 | 3.00 | 2.00 | 4 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 130 | 96 | 86 | 11 | 31.5 | 874 | 936 | 853 | 70 | 41.5 | 14.5 | 8.00 | 22.0 | 2.00 | 1.00 | 50.00% | 3.50 | 0.00 | 100.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 57.1% | 15.9% | 92.8% | 108.6 | LUCKY |
| 14 | Blades | 4 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 5.25 | 5.25 | 0.00 | 5 | 0.625 | 5.3 | 7.5 | 12.8 | 0 | 0 | 130 | 96 | 86 | 11 | 39.3 | 874 | 936 | 853 | 70 | 44.3 | 12.3 | 5.00 | 27.0 | 2.50 | 0.75 | 30.00% | 2.00 | 0.75 | 62.50% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 427.50 | 283.50 | 478.25 | 152.50 | 264.50 | 127.50 | 50.0% | 13.4% | 88.1% | 101.5 | FUN |
| 15 | Sharknado | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 4.50 | 1.50 | 4 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 130 | 96 | 86 | 11 | 39.0 | 874 | 936 | 853 | 70 | 37.0 | 8.5 | 9.50 | 26.0 | 3.00 | 0.50 | 16.67% | 3.50 | 1.00 | 71.43% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 61.1% | 15.4% | 87.8% | 103.2 | FUN |
| 16 | Barking Spiders | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 4.00 | 3.20 | 0.80 | 6 | 0.600 | 4.0 | 7.2 | 11.2 | 0 | 0 | 130 | 96 | 86 | 11 | 37.6 | 874 | 936 | 853 | 70 | 27.0 | 9.2 | 5.60 | 21.6 | 2.80 | 0.20 | 7.14% | 2.40 | 0.80 | 66.67% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 342.00 | 226.80 | 382.60 | 122.00 | 211.60 | 102.00 | 61.3% | 10.6% | 88.1% | 98.8 | FUN |
| 17 | Space Invaders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.50 | 5.50 | -1.00 | 2 | 0.500 | 4.5 | 8.0 | 12.5 | 0 | 0 | 130 | 96 | 86 | 11 | 27.5 | 874 | 936 | 853 | 70 | 43.0 | 11.5 | 9.00 | 31.0 | 2.50 | 1.50 | 60.00% | 4.00 | 1.50 | 62.50% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 42.9% | 16.4% | 87.2% | 103.6 | FUN |
| 18 | Checkers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 2.00 | 4.00 | 4 | 1.000 | 6.0 | 10.0 | 16.0 | 0 | 0 | 130 | 96 | 86 | 11 | 36.5 | 874 | 936 | 853 | 70 | 27.0 | 13.5 | 10.00 | 23.5 | 4.50 | 1.50 | 33.33% | 5.00 | 1.50 | 70.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 90.0% | 16.4% | 92.6% | 109.0 | LUCKY |
| 19 | Vikings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 2.50 | -0.50 | 2 | 0.500 | 2.0 | 3.0 | 5.0 | 0 | 0 | 130 | 96 | 86 | 11 | 34.5 | 874 | 936 | 853 | 70 | 35.5 | 14.0 | 10.00 | 23.5 | 1.50 | 0.00 | 0.00% | 5.00 | 1.00 | 80.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 57.1% | 5.8% | 93.0% | 98.8 | DULL |
| 20 | Kangaroos | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 5.00 | -3.00 | 0 | 0.000 | 2.0 | 3.5 | 5.5 | 1 | 0 | 130 | 96 | 86 | 11 | 27.0 | 874 | 936 | 853 | 70 | 32.5 | 12.0 | 5.00 | 19.5 | 2.00 | 0.00 | 0.00% | 2.50 | 0.50 | 80.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 30.8% | 7.4% | 84.6% | 92.0 | Unlucky |
| 21 | Thistles | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 5.67 | 3.00 | 2.67 | 6 | 1.000 | 5.7 | 10.0 | 15.7 | 0 | 0 | 130 | 96 | 86 | 11 | 38.3 | 874 | 936 | 853 | 70 | 37.3 | 11.0 | 8.00 | 26.3 | 2.67 | 0.67 | 25.00% | 3.33 | 0.67 | 80.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 570.00 | 378.00 | 637.67 | 203.33 | 352.67 | 170.00 | 68.2% | 14.8% | 92.0% | 106.7 | LUCKY |
| 22 | Barracudas | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 4.20 | 3.00 | 1.20 | 8 | 0.800 | 4.2 | 6.8 | 11.0 | 0 | 0 | 130 | 96 | 86 | 11 | 33.0 | 874 | 936 | 853 | 70 | 33.2 | 7.4 | 8.00 | 22.4 | 3.60 | 0.40 | 11.11% | 3.80 | 0.80 | 78.95% | 1 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 342.00 | 226.80 | 382.60 | 122.00 | 211.60 | 102.00 | 63.3% | 12.7% | 91.0% | 103.7 | FUN |
| 23 | Senators | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.00 | 2.50 | 4 | 1.000 | 4.5 | 9.0 | 13.5 | 0 | 0 | 130 | 96 | 86 | 11 | 32.0 | 874 | 936 | 853 | 70 | 36.5 | 9.5 | 11.00 | 25.0 | 3.00 | 1.00 | 33.33% | 4.50 | 0.50 | 88.89% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 70.0% | 14.1% | 94.5% | 108.6 | LUCKY |
| 24 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 0 | 0.000 | 1.5 | 3.0 | 4.5 | 1 | 0 | 130 | 96 | 86 | 11 | 31.5 | 874 | 936 | 853 | 70 | 37.5 | 8.5 | 11.00 | 17.5 | 1.50 | 0.00 | 0.00% | 5.50 | 1.50 | 72.73% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 37.5% | 4.8% | 89.3% | 94.1 | Unlucky |
| 25 | Assassins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 5.50 | -4.00 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 130 | 96 | 86 | 11 | 39.5 | 874 | 936 | 853 | 70 | 39.5 | 10.0 | 4.00 | 28.0 | 4.00 | 0.00 | 0.00% | 2.00 | 0.50 | 75.00% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 23.1% | 3.8% | 86.1% | 89.9 | Unlucky |
| 26 | Zolos | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3.00 | 5.50 | -2.50 | 0 | 0.000 | 3.0 | 5.0 | 8.0 | 0 | 0 | 130 | 96 | 86 | 11 | 28.5 | 874 | 936 | 853 | 70 | 39.0 | 12.5 | 8.00 | 26.5 | 3.50 | 0.50 | 14.29% | 4.00 | 1.50 | 62.50% | 0 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 855.00 | 567.00 | 956.50 | 305.00 | 529.00 | 255.00 | 38.5% | 10.5% | 85.9% | 96.4 | FUN |
| 27 | Huskies | 5 | 3 | 0 | 0 | 2 | 0 | 0 | 0 | 5.40 | 3.60 | 1.80 | 10 | 1.000 | 5.4 | 9.4 | 14.8 | 0 | 0 | 130 | 96 | 86 | 11 | 36.2 | 874 | 936 | 853 | 70 | 33.0 | 9.4 | 10.40 | 23.8 | 4.00 | 0.80 | 20.00% | 4.20 | 1.80 | 57.14% | 2 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 342.00 | 226.80 | 382.60 | 122.00 | 211.60 | 102.00 | 71.9% | 14.9% | 89.1% | 104.0 | FUN |
| _Vs Division | 29 | 17 | 5 | 0 | 4 | 2 | 0 | 1 | 4.38 | 3.24 | 1.14 | 45 | 0.776 | 4.4 | 7.3 | 11.7 | 0 | 0 | 130 | 96 | 86 | 11 | 35.1 | 874 | 936 | 853 | 70 | 32.5 | 8.4 | 7.03 | 22.6 | 2.97 | 0.34 | 11.63% | 3.14 | 0.83 | 73.63% | 5 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 58.97 | 39.10 | 65.97 | 21.03 | 36.48 | 17.59 | 62.6% | 12.5% | 90.0% | 102.5 | FUN | |
| _Vs Conference | 48 | 24 | 11 | 0 | 5 | 4 | 2 | 2 | 4.25 | 3.54 | 0.71 | 68 | 0.708 | 4.3 | 7.1 | 11.3 | 1 | 0 | 130 | 96 | 86 | 11 | 35.6 | 874 | 936 | 853 | 70 | 34.6 | 9.5 | 6.83 | 23.3 | 2.75 | 0.38 | 13.64% | 3.10 | 0.71 | 77.18% | 5 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 35.63 | 23.63 | 39.85 | 12.71 | 22.04 | 10.63 | 57.8% | 11.9% | 89.8% | 101.7 | FUN | |
| _Since Last GM Reset | 77 | 37 | 23 | 0 | 6 | 4 | 4 | 3 | 4.18 | 3.70 | 0.48 | 101 | 0.656 | 4.2 | 7.0 | 11.2 | 2 | 0 | 130 | 96 | 86 | 11 | 35.2 | 874 | 936 | 853 | 70 | 35.8 | 10.2 | 7.21 | 23.9 | 2.86 | 0.48 | 16.82% | 3.27 | 0.75 | 76.98% | 5 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 22.21 | 14.73 | 24.84 | 7.92 | 13.74 | 6.62 | 55.7% | 11.9% | 89.7% | 101.5 | FUN | |
| Total | 77 | 37 | 23 | 0 | 6 | 4 | 4 | 3 | 4.18 | 3.70 | 0.48 | 101 | 0.656 | 4.2 | 7.0 | 11.2 | 2 | 0 | 130 | 96 | 86 | 11 | 35.2 | 874 | 936 | 853 | 70 | 35.8 | 10.2 | 7.21 | 23.9 | 2.86 | 0.48 | 16.82% | 3.27 | 0.75 | 76.98% | 5 | 1198 | 2649 | 45.22% | 1323 | 2933 | 45.11% | 641 | 1393 | 46.02% | 22.21 | 14.73 | 24.84 | 7.92 | 13.74 | 6.62 | 55.7% | 11.9% | 89.7% | 101.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2649 |
| Neutral Zone Start | 1393 |
| Defensive Zone Start | 2933 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3162 |
| Faceoffs Lost | 3813 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.4 | 9.57 |
| 2nd Period | 23.5 | 20.31 |
| 3rd Period | 34.6 | 30.68 |
| Overtime | 35.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.7 | 0.64 |
| 2nd Period | 2.9 | 1.65 |
| 3rd Period | 4.1 | 2.67 |
| Overtime | 4.2 | 2.83 |
| Even Strenght Goal | 278 |
|---|---|
| PP Goal | 37 |
| PK Goal | 5 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 21 | 26 |
| Lost | 12 | 11 |
| Overtime Lost | 6 | 1 |
| PP Attempt | 220 |
|---|---|
| PP Goal | 37 |
| PK Attempt | 252 |
| PK Goal Against | 58 |
| Home | |
|---|---|
| Shots For | 35.2 |
| Shots Against | 35.8 |
| Goals For | 4.2 |
| Goals Against | 3.7 |
| Hits | 23.9 |
| Shots Blocked | 10.2 |
| Pim | 7.2 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,098,055$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Bellefeueille | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 63414 | 31941 | |||
| Attendance PCT | 81.30% | 81.90% | 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 |
| 2 | 2445 - 81.50% | 69,195$ | 2,698,605$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,098,055$ | 2,098,055$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,976,152$ | 10,815$ | 1,976,152$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 138,390$ | 12 | 10,815$ | 129,780$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 129,780$ | 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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