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Full Scoreboard »» |
| Toronto Marlies 12-8-2, 26pts · 10th in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Martin Frk | 0 | LW/RW | 100.00 | 74 | 41 | 69 | 58 | 82 | 72 | 70 | 69 | 49 | 61 | 62 | 73 | 62 | 79 | 76 | 0 | 44 | 75 | 32 | 900,000$/2yrs | |||
Jayson Megna | 0 | C | 100.00 | 61 | 38 | 90 | 55 | 74 | 72 | 72 | 72 | 83 | 62 | 59 | 76 | 60 | 84 | 83 | 0 | 47 | 75 | 35 | 900,000$/2yrs | |||
Logan Shaw | 38 | C/RW | 100.00 | 64 | 40 | 85 | 55 | 86 | 71 | 72 | 70 | 41 | 60 | 59 | 74 | 60 | 81 | 79 | 0 | 44 | 74 | 33 | 1,000,000$/2yrs | |||
Matthew Peca | 63 | C/LW/RW | 100.00 | 61 | 38 | 89 | 58 | 68 | 72 | 73 | 69 | 74 | 62 | 61 | 73 | 62 | 79 | 78 | 0 | 49 | 74 | 32 | 775,000$/1yrs | |||
Travis Boyd | 72 | C/LW/RW | 100.00 | 62 | 32 | 96 | 57 | 74 | 71 | 68 | 62 | 62 | 69 | 61 | 58 | 62 | 78 | 78 | 0 | 47 | 73 | 32 | 900,000$/1yrs | |||
Dryden Hunt | 73 | LW | 100.00 | 84 | 40 | 92 | 58 | 75 | 74 | 70 | 61 | 61 | 66 | 60 | 60 | 60 | 74 | 73 | 0 | 47 | 73 | 30 | 850,000$/1yrs | |||
Paul Cotter | 43 | C/LW/RW | 100.00 | 90 | 40 | 77 | 59 | 84 | 77 | 90 | 60 | 61 | 57 | 68 | 58 | 64 | 67 | 65 | 0 | 52 | 73 | 26 | 775,000$/1yrs | |||
Rem Pitlick | 32 | C/LW/RW | 100.00 | 63 | 39 | 85 | 59 | 77 | 70 | 69 | 65 | 35 | 64 | 59 | 69 | 62 | 72 | 70 | 0 | 50 | 73 | 28 | 900,000$/3yrs | |||
Alex Steeves | 0 | C | 100.00 | 67 | 39 | 79 | 61 | 76 | 70 | 76 | 63 | 46 | 60 | 65 | 66 | 63 | 68 | 66 | 0 | 47 | 73 | 25 | 900,000$/1yrs | |||
Vinnie Hinostroza | 0 | LW/RW | 100.00 | 68 | 32 | 90 | 57 | 69 | 76 | 73 | 57 | 59 | 60 | 62 | 56 | 59 | 77 | 76 | 0 | 40 | 71 | 31 | 1,000,000$/2yrs | |||
Quinn Hutson | 0 | RW | 100.00 | 74 | 39 | 70 | 61 | 66 | 69 | 90 | 59 | 47 | 60 | 62 | 66 | 61 | 63 | 60 | 0 | 47 | 71 | 23 | 875,000$/1yrs | |||
Jan Jenik | 0 | RW | 100.00 | 78 | 41 | 61 | 57 | 78 | 67 | 70 | 63 | 66 | 58 | 58 | 66 | 58 | 66 | 62 | 0 | 26 | 70 | 25 | 900,000$/1yrs | |||
Louie Belpedio | 0 | D | 100.00 | 70 | 33 | 99 | 62 | 75 | 77 | 67 | 60 | 30 | 61 | 67 | 72 | 64 | 72 | 72 | 0 | 44 | 75 | 29 | 1,000,000$/2yrs | |||
Joel Hanley | 41 | D | 100.00 | 64 | 48 | 76 | 55 | 73 | 82 | 90 | 54 | 30 | 60 | 50 | 71 | 52 | 83 | 80 | 0 | 47 | 72 | 34 | 1,200,000$/2yrs | |||
Jaycob Megna | 0 | D | 100.00 | 71 | 34 | 84 | 55 | 91 | 85 | 73 | 55 | 30 | 54 | 50 | 76 | 52 | 79 | 78 | 0 | 47 | 72 | 32 | 900,000$/2yrs | |||
Victor Soderstrom | 9 | D | 100.00 | 63 | 32 | 75 | 63 | 71 | 82 | 70 | 57 | 30 | 67 | 50 | 59 | 53 | 63 | 61 | 0 | 47 | 72 | 24 | 775,000$/1yrs | |||
Brayden Pachal | 94 | D | 100.00 | 82 | 43 | 63 | 55 | 81 | 80 | 85 | 54 | 30 | 59 | 56 | 67 | 55 | 67 | 64 | 0 | 47 | 71 | 26 | 1,100,000$/3yrs | |||
Haydn Fleury | 4 | D | 100.00 | 74 | 33 | 86 | 55 | 85 | 79 | 81 | 52 | 30 | 50 | 50 | 81 | 51 | 74 | 73 | 0 | 49 | 70 | 29 | 1,000,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Ruslan Iskhakov (R) | 0 | C | 100.00 | 66 | 38 | 80 | 60 | 61 | 67 | 89 | 61 | 65 | 61 | 58 | 64 | 59 | 63 | 61 | 0 | 20 | 70 | 25 | 900,000$/1yrs | |||
Ryan Winterton (R) | 0 | C | 100.00 | 70 | 32 | 92 | 56 | 71 | 75 | 90 | 56 | 55 | 56 | 59 | 66 | 58 | 61 | 61 | 0 | 25 | 69 | 22 | 828,333$/1yrs | |||
Aku Raty (R) | 0 | RW | 100.00 | 66 | 39 | 82 | 57 | 75 | 66 | 69 | 62 | 48 | 59 | 55 | 65 | 57 | 65 | 63 | 0 | 20 | 69 | 24 | 850,000$/3yrs | |||
Michael Brandsegg-Nygard (R) | 28 | LW/RW | 100.00 | 89 | 42 | 59 | 59 | 81 | 64 | 85 | 55 | 40 | 57 | 58 | 59 | 57 | 56 | 52 | 0 | 25 | 68 | 20 | 942,500$/3yrs | |||
Braeden Cootes (R) | 80 | C | 100.00 | 58 | 38 | 89 | 60 | 72 | 64 | 87 | 54 | 60 | 57 | 57 | 59 | 57 | 54 | 53 | 0 | 25 | 67 | 18 | 975,000$/3yrs | |||
Ludwig Persson (R) | 0 | C/LW | 100.00 | 71 | 39 | 81 | 58 | 75 | 63 | 87 | 55 | 60 | 58 | 55 | 58 | 56 | 56 | 54 | 0 | 20 | 67 | 22 | 814,999$/3yrs | |||
Albert Johansson (R) | 2 | D | 100.00 | 66 | 32 | 95 | 55 | 67 | 81 | 90 | 52 | 30 | 57 | 50 | 70 | 51 | 66 | 65 | 0 | 20 | 70 | 24 | 925,000$/1yrs | |||
Noah Beck (R) | 0 | D | 100.00 | 71 | 41 | 74 | 57 | 83 | 67 | 59 | 57 | 30 | 61 | 54 | 58 | 57 | 65 | 62 | 0 | 23 | 70 | 24 | 975,000$/1yrs | |||
Connor Mackey | 2 | D | 100.00 | 89 | 43 | 50 | 50 | 78 | 66 | 66 | 49 | 30 | 56 | 52 | 71 | 54 | 73 | 68 | 0 | 20 | 69 | 29 | 775,000$/1yrs | |||
Samuel Bolduc | 58 | D | 100.00 | 71 | 34 | 93 | 55 | 89 | 77 | 70 | 53 | 30 | 57 | 58 | 60 | 55 | 65 | 64 | 0 | 20 | 69 | 24 | 900,000$/1yrs | |||
Maveric Lamoureux (R) | 0 | D | 100.00 | 70 | 67 | 50 | 57 | 83 | 83 | 67 | 50 | 30 | 60 | 59 | 57 | 54 | 60 | 55 | 0 | 31 | 69 | 21 | 876,667$/2yrs | |||
Michael Benning (R) | 0 | D | 100.00 | 68 | 39 | 77 | 52 | 66 | 65 | 68 | 51 | 30 | 57 | 54 | 65 | 56 | 63 | 60 | 0 | 20 | 68 | 23 | 900,000$/3yrs | |||
Ian Moore (R) | 0 | D | 100.00 | 62 | 39 | 85 | 54 | 79 | 64 | 86 | 53 | 30 | 56 | 53 | 64 | 55 | 63 | 61 | 0 | 20 | 68 | 23 | 925,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Bussi | 0 | 100.00 | 73 | 75 | 71 | 89 | 62 | 76 | 75 | 73 | 76 | 73 | 75 | 71 | 71 | 0 | 48 | 78 | 27 | 1,200,000$/2yrs |
Cooper Black | 0 | 100.00 | 72 | 60 | 70 | 94 | 56 | 78 | 73 | 72 | 78 | 77 | 74 | 65 | 64 | 0 | 36 | 76 | 24 | 950,000$/1yrs |
| Scratches | ||||||||||||||||||||
Carter George | 0 | 100.00 | 72 | 78 | 67 | 75 | 65 | 70 | 71 | 72 | 70 | 71 | 71 | 54 | 64 | 0 | 46 | 74 | 19 | 845,833$/3yrs |
Trent Miner | 0 | 100.00 | 60 | 61 | 65 | 75 | 60 | 60 | 60 | 60 | 60 | 72 | 60 | 64 | 67 | 0 | 29 | 68 | 24 | 900,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jacques Martin | 57 | 61 | 60 | 58 | 99 | 97 | 37 | CAN | 73 | 3 | 500,000$ |
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Dryden Hunt | LW | 22 | 7 | 13 | 20 | 6 | 8 | 0 | 37 | 44 | 9 | 22 | 15.91% | 3 | 14.24 | 1 | 6 | 7 | 68 | 0 | 0 | 0 | 23 | 1 | 0 | 53.85% | 104 | 0 | 0 | 0 | 0 | 1.28 | 0 | 0 | ||
| 2 | Martin Frk | LW/RW | 22 | 5 | 12 | 17 | 0 | 27 | 5 | 81 | 83 | 22 | 63 | 6.02% | 4 | 21.03 | 1 | 3 | 4 | 74 | 0 | 0 | 0 | 63 | 0 | 0 | 36.11% | 36 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
| 3 | Rem Pitlick | C/LW/RW | 22 | 6 | 10 | 16 | -2 | 13 | 5 | 25 | 77 | 23 | 58 | 7.79% | 5 | 18.15 | 1 | 6 | 7 | 75 | 0 | 0 | 0 | 0 | 1 | 0 | 53.57% | 28 | 0 | 0 | 0 | 1 | 0.80 | 0 | 0 | ||
| 4 | Travis Boyd | C/LW/RW | 22 | 3 | 11 | 14 | 6 | 6 | 0 | 14 | 37 | 18 | 23 | 8.11% | 3 | 16.59 | 1 | 1 | 2 | 19 | 0 | 0 | 0 | 19 | 2 | 1 | 61.76% | 34 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | ||
| 5 | Jaycob Megna | D | 22 | 3 | 11 | 14 | 2 | 18 | 0 | 42 | 36 | 11 | 20 | 8.33% | 30 | 22.24 | 3 | 4 | 7 | 74 | 0 | 0 | 0 | 58 | 0 | 0 | 47.62% | 105 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
| 6 | Jayson Megna | C | 22 | 6 | 8 | 14 | 3 | 4 | 0 | 7 | 75 | 31 | 54 | 8.00% | 8 | 18.95 | 0 | 0 | 0 | 16 | 1 | 0 | 1 | 72 | 1 | 0 | 61.66% | 579 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
| 7 | Louie Belpedio | D | 22 | 2 | 12 | 14 | -1 | 12 | 0 | 29 | 49 | 15 | 42 | 4.08% | 30 | 23.46 | 1 | 1 | 2 | 64 | 0 | 1 | 1 | 53 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
| 8 | Matthew Peca | C/LW/RW | 20 | 4 | 7 | 11 | -1 | 2 | 0 | 9 | 69 | 13 | 41 | 5.80% | 5 | 16.73 | 1 | 4 | 5 | 56 | 0 | 0 | 0 | 26 | 0 | 0 | 38.89% | 18 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
| 9 | Haydn Fleury | D | 22 | 3 | 7 | 10 | 1 | 12 | 0 | 42 | 25 | 12 | 23 | 12.00% | 15 | 22.54 | 2 | 4 | 6 | 73 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 10 | Alex Steeves | C | 22 | 7 | 3 | 10 | -3 | 2 | 0 | 29 | 75 | 15 | 53 | 9.33% | 4 | 16.64 | 3 | 0 | 3 | 68 | 0 | 0 | 0 | 32 | 1 | 0 | 40.96% | 481 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
| 11 | Logan Shaw | C/RW | 22 | 6 | 3 | 9 | 1 | 10 | 0 | 45 | 65 | 12 | 47 | 9.23% | 5 | 14.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 1 | 45.90% | 329 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
| 12 | Victor Soderstrom | D | 22 | 3 | 4 | 7 | 5 | 2 | 0 | 6 | 15 | 8 | 11 | 20.00% | 17 | 16.26 | 2 | 1 | 3 | 49 | 0 | 0 | 0 | 13 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 13 | Brayden Pachal | D | 22 | 1 | 5 | 6 | 4 | 18 | 0 | 54 | 9 | 6 | 11 | 11.11% | 22 | 16.60 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 56 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 14 | Maveric Lamoureux | D | 20 | 1 | 5 | 6 | -2 | 24 | 0 | 56 | 16 | 11 | 9 | 6.25% | 22 | 21.13 | 1 | 1 | 2 | 57 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
| 15 | Joel Hanley | D | 22 | 1 | 3 | 4 | 0 | 20 | 0 | 34 | 10 | 7 | 11 | 10.00% | 16 | 18.97 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
| 16 | Paul Cotter | C/LW/RW | 12 | 2 | 2 | 4 | -2 | 6 | 0 | 19 | 21 | 9 | 17 | 9.52% | 3 | 11.97 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
| 17 | Quinn Hutson | RW | 22 | 1 | 3 | 4 | 3 | 0 | 0 | 25 | 24 | 4 | 26 | 4.17% | 3 | 8.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 15 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
| 18 | Vinnie Hinostroza | LW/RW | 15 | 2 | 0 | 2 | -1 | 0 | 0 | 3 | 5 | 5 | 9 | 40.00% | 0 | 6.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 19 | Ryan Winterton | C | 7 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 6 | 1 | 4 | 0.00% | 0 | 9.08 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 8 | 0 | 0 | 47.87% | 94 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 20 | Braeden Cootes | C | 7 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 1 | 1 | 2 | 0.00% | 0 | 6.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.22% | 45 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
| 21 | Jan Jenik | RW | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 5 | 1 | 4 | 0.00% | 1 | 4.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 22 | Michael Brandsegg-Nygard | LW/RW | 7 | 0 | 0 | 0 | -2 | 6 | 0 | 19 | 10 | 5 | 3 | 0.00% | 1 | 13.55 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 23 | Noah Beck | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 403 | 63 | 121 | 184 | 21 | 192 | 10 | 582 | 757 | 239 | 553 | 8.32% | 197 | 16.65 | 18 | 31 | 49 | 760 | 1 | 1 | 2 | 559 | 10 | 2 | 50.08% | 1891 | 0 | 0 | 0 | 1 | 0.55 | 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 | Brandon Bussi | 20 | 11 | 8 | 1 | 0.915 | 2.39 | 1156 | 0 | 4 | 46 | 540 | 0 | 0 | 0 | 0.000 | 0 | 20 | 2 | 2 | 3 | 0 | |
| 2 | Carter George | 2 | 1 | 0 | 1 | 0.833 | 4.00 | 120 | 0 | 0 | 8 | 48 | 0 | 0 | 0 | 0.000 | 0 | 2 | 15 | 0 | 0 | 0 | |
| 3 | Cooper Black | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 44 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 0.000 | 0 | 0 | 5 | 0 | 0 | 0 | |
| Team Total or Average | 23 | 12 | 8 | 2 | 0.911 | 2.45 | 1321 | 0 | 4 | 54 | 609 | 0 | 0 | 0 | 0.000 | 0 | 22 | 22 | 2 | 3 | 0 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Aku Raty | RW | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
| Albert Johansson | D | 24 | 925,000$ | 925,000$ | |||||||
| Alex Steeves | C | 25 | 900,000$ | 900,000$ | |||||||
| Braeden Cootes | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Brandon Bussi | G | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Brayden Pachal | D | 26 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
| Carter George | G | 19 | 845,833$ | 845,833$ | 845,833$ | 845,833$ | RFA | ||||
| Connor Mackey | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
| Cooper Black | G | 24 | 950,000$ | 950,000$ | |||||||
| Dryden Hunt | LW | 30 | 850,000$ | 850,000$ | UFA | ||||||
| Haydn Fleury | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Ian Moore | D | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
| Jan Jenik | RW | 25 | 900,000$ | 900,000$ | |||||||
| Jaycob Megna | D | 32 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
| Jayson Megna | C | 35 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
| Joel Hanley | D | 34 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Logan Shaw | C/RW | 33 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Louie Belpedio | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Ludwig Persson | C/LW | 22 | 814,999$ | 814,999$ | 814,999$ | 814,999$ | |||||
| Martin Frk | LW/RW | 32 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
| Matthew Peca | C/LW/RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
| Maveric Lamoureux | D | 21 | 876,667$ | 876,667$ | 876,667$ | RFA | |||||
| Michael Benning | D | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Michael Brandsegg-Nygard | LW/RW | 20 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Noah Beck | D | 24 | 975,000$ | 975,000$ | |||||||
| Paul Cotter | C/LW/RW | 26 | 775,000$ | 775,000$ | |||||||
| Quinn Hutson | RW | 23 | 875,000$ | 875,000$ | RFA | ||||||
| Rem Pitlick | C/LW/RW | 28 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
| Ruslan Iskhakov | C | 25 | 900,000$ | 900,000$ | |||||||
| Ryan Winterton | C | 22 | 828,333$ | 828,333$ | RFA | ||||||
| Samuel Bolduc | D | 24 | 900,000$ | 900,000$ | |||||||
| Travis Boyd | C/LW/RW | 32 | 900,000$ | 900,000$ | UFA | ||||||
| Trent Miner | G | 24 | 900,000$ | 900,000$ | |||||||
| Victor Soderstrom | D | 24 | 775,000$ | 775,000$ | |||||||
| Vinnie Hinostroza | LW/RW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 31 | 19 | 17 | 0 | 28 | 257 | 263 | 248 | 2 | 30 | 8 | 10 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 31 | 19 | 17 | 0 | 28 | 257 | 263 | 248 | 2 | 37 | 6 | 4 | 16 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 25.0% | 3.6% | 89.2% | 92.8 | Unlucky | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 31 | 19 | 17 | 0 | 51 | 257 | 263 | 248 | 2 | 34 | 12 | 10 | 26 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 60.0% | 9.8% | 91.2% | 101.0 | LUCKY | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 31 | 19 | 17 | 0 | 26 | 257 | 263 | 248 | 2 | 31 | 13 | 4 | 25 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 25.0% | 3.8% | 90.3% | 94.2 | Unlucky | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 31 | 19 | 17 | 0 | 39 | 257 | 263 | 248 | 2 | 27 | 4 | 8 | 26 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 71.4% | 15.4% | 88.9% | 104.3 | FUN | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 31 | 19 | 17 | 0 | 64 | 257 | 263 | 248 | 2 | 50 | 14 | 12 | 45 | 8 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 60.0% | 4.7% | 92.0% | 96.7 | DULL | |
| 7 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 31 | 19 | 17 | 0 | 34 | 257 | 263 | 248 | 2 | 28 | 8 | 8 | 21 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 20.0% | 8.8% | 85.7% | 94.5 | Unlucky | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 31 | 19 | 17 | 0 | 45 | 257 | 263 | 248 | 2 | 29 | 4 | 10 | 20 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 75.0% | 6.7% | 96.6% | 103.2 | DULL | |
| 9 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 14 | 8 | 6 | 5 | 0.625 | 14 | 27 | 41 | 0 | 2 | 31 | 19 | 17 | 0 | 136 | 257 | 263 | 248 | 2 | 111 | 32 | 39 | 82 | 16 | 4 | 25.00% | 16 | 1 | 93.75% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 58.8% | 10.3% | 92.8% | 103.1 | LUCKY | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 31 | 19 | 17 | 0 | 39 | 257 | 263 | 248 | 2 | 20 | 9 | 6 | 29 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 50.0% | 10.3% | 90.0% | 100.3 | FUN | |
| 11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 31 | 19 | 17 | 0 | 89 | 257 | 263 | 248 | 2 | 45 | 18 | 10 | 56 | 8 | 2 | 25.00% | 5 | 2 | 60.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 70.0% | 10.1% | 88.9% | 99.0 | FUN | |
| 12 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 0.333 | 10 | 19 | 29 | 0 | 0 | 31 | 19 | 17 | 0 | 75 | 257 | 263 | 248 | 2 | 73 | 28 | 26 | 98 | 13 | 4 | 30.77% | 13 | 1 | 92.31% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 42.9% | 13.3% | 87.7% | 101.0 | FUN | |
| 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 31 | 19 | 17 | 0 | 44 | 257 | 263 | 248 | 2 | 28 | 9 | 13 | 26 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 100.0% | 6.8% | 100.0% | 106.8 | DULL | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 31 | 19 | 17 | 0 | 43 | 257 | 263 | 248 | 2 | 25 | 6 | 4 | 20 | 7 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 60.0% | 7.0% | 92.0% | 99.0 | DULL | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 31 | 19 | 17 | 0 | 29 | 257 | 263 | 248 | 2 | 41 | 9 | 4 | 27 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 40.0% | 6.9% | 92.7% | 99.6 | DULL | |
| _Vs Division | 6 | 7 | 5 | 0 | 0 | 2 | 0 | 0 | 18 | 19 | -1 | 16 | 1.333 | 18 | 33 | 51 | 0 | 0 | 31 | 19 | 17 | 0 | 168 | 257 | 263 | 248 | 2 | 168 | 51 | 42 | 165 | 21 | 5 | 23.81% | 20 | 3 | 85.00% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 44.8% | 10.7% | 88.7% | 99.4 | FUN | |
| _Vs Conference | 17 | 9 | 6 | 0 | 0 | 2 | 0 | 0 | 56 | 45 | 11 | 20 | 0.588 | 56 | 103 | 159 | 0 | 3 | 31 | 19 | 17 | 0 | 581 | 257 | 263 | 248 | 2 | 456 | 144 | 127 | 424 | 68 | 17 | 25.00% | 54 | 9 | 83.33% | 0 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 52.0% | 9.6% | 90.1% | 99.8 | FUN | |
| _Since Last GM Reset | 22 | 12 | 8 | 0 | 0 | 2 | 0 | 0 | 67 | 54 | 13 | 26 | 0.591 | 67 | 122 | 189 | 0 | 4 | 31 | 19 | 17 | 0 | 770 | 257 | 263 | 248 | 2 | 609 | 180 | 168 | 540 | 87 | 18 | 20.69% | 70 | 9 | 87.14% | 1 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 52.1% | 8.7% | 91.1% | 99.8 | Unlucky | |
| Total | 22 | 12 | 8 | 0 | 0 | 2 | 0 | 0 | 67 | 54 | 13 | 26 | 0.591 | 67 | 122 | 189 | 0 | 4 | 31 | 19 | 17 | 0 | 770 | 257 | 263 | 248 | 2 | 609 | 180 | 168 | 540 | 87 | 18 | 20.69% | 70 | 9 | 87.14% | 1 | 422 | 846 | 49.88% | 380 | 725 | 52.41% | 170 | 342 | 49.71% | 544 | 367 | 482 | 167 | 295 | 151 | 52.1% | 8.7% | 91.1% | 99.8 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 846 |
| Neutral Zone Start | 342 |
| Defensive Zone Start | 725 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 972 |
| Faceoffs Lost | 941 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.7 | 9.57 |
| 2nd Period | 23.6 | 20.31 |
| 3rd Period | 34.9 | 30.68 |
| Overtime | 35.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.3 | 1.65 |
| 3rd Period | 3.0 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 48 |
|---|---|
| PP Goal | 18 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 8 | 4 |
| Lost | 3 | 5 |
| Overtime Lost | 2 | 0 |
| PP Attempt | 87 |
|---|---|
| PP Goal | 18 |
| PK Attempt | 70 |
| PK Goal Against | 9 |
| Home | |
|---|---|
| Shots For | 35.0 |
| Shots Against | 27.7 |
| Goals For | 3.0 |
| Goals Against | 2.5 |
| Hits | 24.5 |
| Shots Blocked | 8.2 |
| Pim | 7.6 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Americans4,Marlies6 | RECAP | |||||||||||
| 2025-10-13 | @ | Rocket4,Marlies3 (OT) | RECAP | |||||||||||
| 2025-10-17 | @ | Senators3,Marlies5 | RECAP | |||||||||||
| 2025-10-19 | @ | Marlies2,Griffins0 | RECAP | |||||||||||
| 2025-10-21 | @ | Monsters4,Marlies3 | RECAP | |||||||||||
| 2025-10-22 | @ | Marlies1,Comets4 | RECAP | |||||||||||
| 2025-10-25 | @ | Marlies3,Americans1 | RECAP | |||||||||||
| 2025-10-26 | @ | Crunch0,Marlies3 | RECAP | |||||||||||
| 2025-10-29 | @ | Marlies3,Crunch5 | RECAP | |||||||||||
| 2025-10-30 | @ | Monsters1,Marlies4 | RECAP | |||||||||||
| 2025-11-01 | @ | Silver Knights3,Marlies2 | RECAP | |||||||||||
| 2025-11-09 | @ | Crunch3,Marlies2 (OT) | RECAP | |||||||||||
| 2025-11-13 | @ | Marlies1,Griffins4 | RECAP | |||||||||||
| 2025-11-14 | @ | Islanders3,Marlies1 | RECAP | |||||||||||
| 2025-11-17 | @ | Marlies3,Gulls0 | RECAP | |||||||||||
| 2025-11-18 | @ | Wolf Pack3,Marlies6 | RECAP | |||||||||||
| 2025-11-20 | @ | Marlies3,Wild1 | RECAP | |||||||||||
| 2025-11-23 | @ | Crunch0,Marlies6 | RECAP | |||||||||||
| 2025-11-29 | @ | Stars2,Marlies3 | RECAP | |||||||||||
| 2025-12-01 | @ | Marlies3,Monsters4 | RECAP | |||||||||||
| 2025-12-03 | @ | Bruins2,Marlies4 | RECAP | |||||||||||
| 2025-12-05 | @ | Marlies0,Wranglers3 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,945,833$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Toronto | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 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 |
| 23 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,945,833$ | 2,945,833$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,174,098$ | 16,366$ | 1,004,660$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 19,144$ | 2,278,136$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,278,136$ | 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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