| Toronto Marlies 46-20-6, 98pts · 2nd 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Steeves | 21 | C/LW | 100.00 | 95 | 43 | 66 | 64 | 76 | 75 | 81 | 63 | 59 | 57 | 77 | 70 | 70 | 69 | 66 | 0 | 88 | 77 | 26 | 900,000$/1yrs | |||
Quinn Hutson | 17 | RW | 100.00 | 73 | 39 | 69 | 69 | 66 | 72 | 71 | 69 | 50 | 64 | 72 | 61 | 68 | 60 | 57 | 0 | 85 | 76 | 24 | 875,000$/1yrs | |||
Dryden Hunt | 73 | LW | 100.00 | 72 | 40 | 70 | 63 | 75 | 73 | 81 | 66 | 38 | 70 | 60 | 68 | 65 | 72 | 69 | 0 | 87 | 75 | 30 | 850,000$/1yrs | |||
Jayson Megna | 0 | C | 100.00 | 62 | 39 | 87 | 58 | 77 | 73 | 87 | 70 | 76 | 63 | 62 | 74 | 62 | 81 | 79 | 0 | 88 | 75 | 36 | 900,000$/2yrs | |||
Travis Boyd | 72 | C/LW/RW | 100.00 | 60 | 38 | 90 | 60 | 74 | 72 | 86 | 67 | 80 | 64 | 62 | 70 | 63 | 75 | 74 | 0 | 87 | 74 | 32 | 900,000$/1yrs | |||
Matthew Peca | 63 | C/LW/RW | 100.00 | 60 | 38 | 91 | 60 | 68 | 72 | 88 | 67 | 82 | 64 | 62 | 70 | 63 | 75 | 74 | 0 | 83 | 74 | 32 | 775,000$/1yrs | |||
Taylor Raddysh | 67 | RW | 100.00 | 65 | 33 | 93 | 63 | 80 | 75 | 90 | 59 | 58 | 64 | 62 | 58 | 61 | 71 | 71 | 0 | 89 | 73 | 28 | 800,000$/1yrs | |||
Logan Shaw | 38 | C/RW | 100.00 | 64 | 40 | 84 | 56 | 84 | 70 | 89 | 68 | 75 | 61 | 58 | 72 | 59 | 77 | 75 | 0 | 72 | 73 | 33 | 1,000,000$/2yrs | |||
Paul Cotter | 43 | C/LW/RW | 100.00 | 88 | 40 | 81 | 59 | 84 | 76 | 90 | 59 | 61 | 58 | 67 | 57 | 63 | 68 | 66 | 0 | 88 | 72 | 26 | 775,000$/1yrs | |||
Rem Pitlick | 32 | C/LW/RW | 100.00 | 60 | 38 | 90 | 59 | 75 | 69 | 76 | 63 | 76 | 65 | 57 | 67 | 61 | 68 | 67 | 0 | 79 | 72 | 29 | 900,000$/3yrs | |||
Tyson Kozak (R) | 0 | C/LW | 100.00 | 85 | 32 | 96 | 58 | 67 | 74 | 82 | 55 | 81 | 57 | 59 | 75 | 57 | 63 | 63 | 0 | 89 | 71 | 23 | 1,000,000$/2yrs | |||
Michael Brandsegg-Nygard (R) | 28 | LW/RW | 100.00 | 68 | 40 | 77 | 64 | 81 | 67 | 71 | 60 | 38 | 63 | 60 | 59 | 61 | 54 | 52 | 0 | 33 | 70 | 20 | 942,500$/3yrs | |||
Louie Belpedio | 0 | D | 100.00 | 70 | 33 | 99 | 62 | 75 | 77 | 67 | 60 | 30 | 61 | 67 | 72 | 64 | 72 | 72 | 0 | 86 | 75 | 29 | 1,000,000$/2yrs | |||
Haydn Fleury | 4 | D | 100.00 | 73 | 33 | 87 | 55 | 85 | 79 | 76 | 52 | 30 | 60 | 50 | 79 | 51 | 74 | 73 | 0 | 86 | 73 | 29 | 1,000,000$/2yrs | |||
Zach Bogosian | 6 | D | 100.00 | 68 | 36 | 84 | 55 | 87 | 81 | 86 | 54 | 30 | 60 | 57 | 68 | 56 | 85 | 83 | 0 | 88 | 73 | 35 | 1,250,000$/1yrs | |||
Joel Hanley | 41 | D | 100.00 | 67 | 38 | 82 | 55 | 73 | 83 | 84 | 53 | 30 | 61 | 54 | 65 | 53 | 83 | 81 | 0 | 87 | 72 | 34 | 1,200,000$/2yrs | |||
Albert Johansson (R) | 2 | D | 100.00 | 65 | 32 | 92 | 55 | 67 | 81 | 90 | 55 | 30 | 59 | 53 | 71 | 54 | 66 | 65 | 0 | 75 | 71 | 25 | 925,000$/1yrs | |||
Ian Moore (R) | 0 | D | 100.00 | 61 | 32 | 84 | 55 | 70 | 78 | 85 | 55 | 30 | 61 | 59 | 68 | 57 | 65 | 63 | 0 | 56 | 71 | 24 | 925,000$/2yrs | |||
Noah Beck (R) | 0 | D | 100.00 | 71 | 41 | 74 | 57 | 83 | 67 | 59 | 57 | 30 | 61 | 54 | 58 | 57 | 65 | 62 | 0 | 58 | 70 | 25 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Martin Frk | 0 | LW/RW | 100.00 | 76 | 41 | 64 | 60 | 82 | 73 | 89 | 67 | 42 | 64 | 63 | 70 | 64 | 75 | 72 | 0 | 83 | 75 | 32 | 900,000$/2yrs | |||
Ryan Winterton (R) | 0 | C | 100.00 | 67 | 36 | 91 | 61 | 71 | 74 | 88 | 58 | 55 | 65 | 58 | 64 | 58 | 62 | 61 | 0 | 26 | 71 | 22 | 828,333$/1yrs | |||
Vinnie Hinostroza | 0 | LW/RW | 100.00 | 68 | 32 | 92 | 56 | 69 | 75 | 79 | 55 | 60 | 59 | 61 | 54 | 58 | 78 | 77 | 0 | 23 | 70 | 32 | 1,000,000$/2yrs | |||
Ruslan Iskhakov (R) | 0 | C | 100.00 | 66 | 38 | 80 | 60 | 61 | 67 | 89 | 61 | 65 | 61 | 58 | 64 | 59 | 63 | 61 | 0 | 19 | 70 | 25 | 900,000$/1yrs | |||
Nate Danielson (R) | 0 | C | 100.00 | 58 | 32 | 96 | 63 | 75 | 73 | 70 | 56 | 72 | 63 | 59 | 53 | 57 | 60 | 59 | 0 | 51 | 70 | 21 | 886,666$/3yrs | |||
Jan Jenik | 0 | RW | 100.00 | 78 | 41 | 61 | 58 | 74 | 66 | 83 | 61 | 65 | 58 | 57 | 64 | 58 | 63 | 59 | 0 | 21 | 69 | 25 | 900,000$/1yrs | |||
Jackson Hallum (R) | 0 | LW | 100.00 | 68 | 39 | 78 | 59 | 74 | 66 | 71 | 59 | 43 | 60 | 57 | 62 | 58 | 59 | 57 | 0 | 23 | 69 | 23 | ||||
Thomas Bordeleau | 0 | C/LW | 100.00 | 68 | 39 | 78 | 59 | 66 | 65 | 85 | 59 | 61 | 60 | 56 | 62 | 58 | 59 | 57 | 0 | 44 | 68 | 24 | 950,000$/1yrs | |||
Aku Raty (R) | 0 | RW | 100.00 | 68 | 39 | 78 | 56 | 73 | 64 | 81 | 60 | 43 | 58 | 53 | 63 | 56 | 61 | 59 | 0 | 24 | 68 | 24 | 850,000$/3yrs | |||
Braeden Cootes (R) | 80 | C | 100.00 | 58 | 38 | 89 | 60 | 72 | 64 | 87 | 54 | 60 | 57 | 57 | 59 | 57 | 54 | 53 | 0 | 25 | 67 | 19 | 975,000$/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 | 21 | 67 | 22 | 814,999$/3yrs | |||
Brayden Pachal | 94 | D | 100.00 | 80 | 46 | 58 | 55 | 81 | 78 | 86 | 52 | 30 | 59 | 55 | 65 | 54 | 69 | 64 | 0 | 53 | 70 | 26 | 1,100,000$/3yrs | |||
Samuel Bolduc | 58 | D | 100.00 | 59 | 39 | 92 | 54 | 89 | 66 | 88 | 53 | 30 | 60 | 55 | 65 | 58 | 63 | 62 | 0 | 20 | 70 | 25 | 900,000$/1yrs | |||
Victor Soderstrom | 9 | D | 100.00 | 59 | 38 | 92 | 56 | 76 | 65 | 69 | 53 | 30 | 63 | 52 | 64 | 57 | 61 | 60 | 0 | 24 | 70 | 25 | 775,000$/1yrs | |||
Mike Benning (R) | 0 | D | 100.00 | 70 | 39 | 75 | 56 | 66 | 66 | 85 | 53 | 30 | 62 | 55 | 63 | 58 | 59 | 57 | 0 | 20 | 70 | 24 | 900,000$/3yrs | |||
Jaycob Megna | 0 | D | 100.00 | 64 | 40 | 85 | 50 | 91 | 66 | 86 | 49 | 30 | 56 | 52 | 73 | 54 | 77 | 75 | 0 | 20 | 69 | 33 | 900,000$/2yrs | |||
Connor Mackey | 2 | D | 100.00 | 85 | 42 | 50 | 52 | 80 | 66 | 87 | 50 | 30 | 57 | 53 | 69 | 55 | 70 | 65 | 0 | 24 | 69 | 29 | 775,000$/1yrs | |||
Chase Pietila (R) | 0 | D | 100.00 | 81 | 42 | 56 | 52 | 76 | 62 | 73 | 49 | 30 | 57 | 50 | 61 | 54 | 55 | 51 | 0 | 25 | 66 | 22 | ||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cooper Black | 0 | 100.00 | 70 | 69 | 69 | 94 | 53 | 77 | 70 | 70 | 77 | 77 | 73 | 62 | 62 | 0 | 85 | 76 | 24 | 950,000$/1yrs |
Carter George | 0 | 100.00 | 72 | 78 | 67 | 75 | 65 | 70 | 71 | 72 | 70 | 71 | 71 | 54 | 64 | 0 | 28 | 74 | 19 | 845,833$/3yrs |
| Scratches | ||||||||||||||||||||
Trent Miner | 0 | 100.00 | 72 | 74 | 70 | 74 | 76 | 77 | 72 | 72 | 77 | 77 | 74 | 62 | 62 | 0 | 64 | 77 | 25 | 900,000$/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 | Martin Frk | LW/RW | 72 | 33 | 30 | 63 | 10 | 61 | 5 | 247 | 272 | 73 | 187 | 12.13% | 14 | 20.82 | 14 | 7 | 21 | 251 | 0 | 3 | 3 | 204 | 8 | 2 | 41.96% | 143 | 0 | 0 | 0 | 1 | 0.84 | 2 | 6 | ||
| 2 | Rem Pitlick | C/LW/RW | 72 | 11 | 44 | 55 | 4 | 30 | 10 | 44 | 230 | 70 | 182 | 4.78% | 12 | 17.36 | 2 | 20 | 22 | 245 | 0 | 0 | 0 | 0 | 2 | 1 | 57.89% | 779 | 0 | 0 | 0 | 1 | 0.88 | 0 | 0 | ||
| 3 | Travis Boyd | C/LW/RW | 72 | 20 | 34 | 54 | 11 | 16 | 0 | 27 | 200 | 66 | 141 | 10.00% | 14 | 18.18 | 6 | 9 | 15 | 196 | 0 | 0 | 0 | 49 | 5 | 1 | 57.32% | 164 | 0 | 0 | 0 | 0 | 0.83 | 2 | 6 | ||
| 4 | Jayson Megna | C | 72 | 21 | 33 | 54 | 5 | 18 | 0 | 34 | 273 | 71 | 174 | 7.69% | 18 | 21.44 | 5 | 8 | 13 | 163 | 3 | 0 | 3 | 218 | 6 | 1 | 60.65% | 2043 | 0 | 0 | 0 | 0 | 0.70 | 1 | 3 | ||
| 5 | Dryden Hunt | LW | 72 | 20 | 29 | 49 | 9 | 28 | 0 | 143 | 198 | 52 | 131 | 10.10% | 15 | 18.03 | 5 | 13 | 18 | 225 | 1 | 0 | 1 | 76 | 3 | 1 | 47.39% | 268 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
| 6 | Louie Belpedio | D | 72 | 10 | 32 | 42 | 0 | 34 | 0 | 92 | 182 | 49 | 115 | 5.49% | 94 | 23.85 | 6 | 10 | 16 | 235 | 0 | 1 | 1 | 175 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
| 7 | Matthew Peca | C/LW/RW | 70 | 14 | 17 | 31 | 8 | 4 | 0 | 27 | 197 | 46 | 119 | 7.11% | 12 | 12.35 | 1 | 4 | 5 | 63 | 0 | 0 | 0 | 33 | 3 | 0 | 49.06% | 53 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
| 8 | Thomas Bordeleau | C/LW | 38 | 10 | 19 | 29 | 11 | 4 | 0 | 29 | 144 | 43 | 80 | 6.94% | 8 | 18.18 | 3 | 3 | 6 | 88 | 0 | 0 | 0 | 26 | 2 | 2 | 52.17% | 322 | 0 | 0 | 0 | 0 | 0.84 | 1 | 1 | ||
| 9 | Haydn Fleury | D | 50 | 3 | 20 | 23 | 2 | 30 | 0 | 97 | 48 | 25 | 44 | 6.25% | 43 | 20.41 | 2 | 6 | 8 | 122 | 0 | 0 | 0 | 94 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
| 10 | Paul Cotter | C/LW/RW | 62 | 10 | 13 | 23 | 3 | 56 | 0 | 150 | 108 | 36 | 77 | 9.26% | 7 | 14.03 | 2 | 4 | 6 | 136 | 0 | 0 | 0 | 68 | 3 | 1 | 50.77% | 323 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 11 | Tyson Kozak | C/LW | 70 | 10 | 12 | 22 | -11 | 4 | 0 | 53 | 122 | 37 | 111 | 8.20% | 7 | 11.67 | 4 | 9 | 13 | 202 | 1 | 0 | 1 | 159 | 0 | 3 | 58.01% | 705 | 0 | 0 | 0 | 0 | 0.54 | 3 | 5 | ||
| 12 | Taylor Raddysh | RW | 49 | 10 | 11 | 21 | -3 | 8 | 0 | 51 | 116 | 39 | 68 | 8.62% | 7 | 15.37 | 1 | 2 | 3 | 43 | 0 | 0 | 0 | 0 | 3 | 0 | 57.14% | 42 | 0 | 0 | 0 | 0 | 0.56 | 0 | 1 | ||
| 13 | Joel Hanley | D | 72 | 5 | 15 | 20 | 9 | 46 | 0 | 126 | 65 | 23 | 36 | 7.69% | 57 | 21.28 | 1 | 5 | 6 | 180 | 0 | 1 | 1 | 139 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 14 | Jaycob Megna | D | 36 | 3 | 16 | 19 | 5 | 28 | 0 | 74 | 47 | 15 | 28 | 6.38% | 46 | 22.17 | 3 | 6 | 9 | 125 | 0 | 1 | 1 | 98 | 0 | 0 | 49.21% | 189 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
| 15 | Zach Bogosian | D | 46 | 5 | 11 | 16 | 2 | 18 | 0 | 55 | 47 | 9 | 39 | 10.64% | 42 | 17.09 | 2 | 2 | 4 | 49 | 0 | 0 | 0 | 91 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 16 | Brayden Pachal | D | 59 | 4 | 11 | 15 | 5 | 67 | 5 | 154 | 43 | 13 | 29 | 9.30% | 60 | 17.62 | 1 | 1 | 2 | 85 | 0 | 0 | 0 | 151 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 17 | Alex Steeves | C/LW | 37 | 9 | 6 | 15 | 1 | 12 | 0 | 73 | 121 | 29 | 81 | 7.44% | 5 | 16.04 | 3 | 0 | 3 | 74 | 0 | 0 | 0 | 34 | 1 | 0 | 44.20% | 758 | 0 | 0 | 0 | 0 | 0.51 | 0 | 1 | ||
| 18 | Logan Shaw | C/RW | 62 | 6 | 6 | 12 | 1 | 10 | 0 | 46 | 77 | 13 | 60 | 7.79% | 7 | 6.55 | 0 | 1 | 1 | 5 | 0 | 1 | 1 | 16 | 0 | 1 | 46.63% | 341 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
| 19 | Quinn Hutson | RW | 47 | 5 | 7 | 12 | 7 | 6 | 0 | 38 | 91 | 25 | 72 | 5.49% | 6 | 11.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 46.51% | 43 | 0 | 0 | 1 | 0 | 0.46 | 0 | 3 | ||
| 20 | Victor Soderstrom | D | 36 | 3 | 6 | 9 | 4 | 2 | 0 | 14 | 22 | 10 | 20 | 13.64% | 26 | 15.29 | 2 | 1 | 3 | 50 | 0 | 0 | 0 | 13 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 21 | Ian Moore | D | 36 | 1 | 8 | 9 | 3 | 6 | 0 | 11 | 16 | 6 | 14 | 6.25% | 20 | 13.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 22 | Albert Johansson | D | 36 | 2 | 5 | 7 | 6 | 14 | 0 | 42 | 23 | 6 | 15 | 8.70% | 31 | 17.12 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
| 23 | Nate Danielson | C | 33 | 1 | 6 | 7 | -3 | 6 | 0 | 10 | 43 | 10 | 35 | 2.33% | 2 | 16.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 55.48% | 611 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 24 | Michael Brandsegg-Nygard | LW/RW | 39 | 1 | 3 | 4 | -4 | 10 | 0 | 50 | 29 | 10 | 23 | 3.45% | 2 | 8.41 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 52.00% | 25 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
| 25 | Vinnie Hinostroza | LW/RW | 19 | 2 | 0 | 2 | -1 | 0 | 0 | 4 | 6 | 6 | 10 | 33.33% | 0 | 6.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 26 | 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 | ||
| 27 | 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 | ||
| 28 | Jan Jenik | RW | 9 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 7 | 1 | 5 | 0.00% | 1 | 4.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 29 | Noah Beck | D | 37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0.04 | 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 | 1389 | 219 | 396 | 615 | 88 | 520 | 20 | 1698 | 2734 | 785 | 1903 | 8.01% | 556 | 15.94 | 63 | 111 | 174 | 2576 | 5 | 7 | 12 | 1680 | 45 | 14 | 54.49% | 6953 | 0 | 0 | 1 | 2 | 0.56 | 9 | 26 |
| 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 | Cooper Black | 28 | 18 | 7 | 2 | 0.931 | 1.98 | 1664 | 2 | 3 | 55 | 798 | 0 | 1 | 0 | 0.909 | 11 | 27 | 28 | 4 | 4 | 0 | |
| 2 | Trent Miner | 12 | 9 | 2 | 0 | 0.926 | 1.94 | 679 | 0 | 1 | 22 | 298 | 0 | 0 | 0 | 0.000 | 0 | 11 | 26 | 1 | 0 | 0 | |
| 3 | Carter George | 2 | 1 | 0 | 1 | 0.833 | 4.00 | 120 | 0 | 0 | 8 | 48 | 0 | 0 | 0 | 0.000 | 0 | 2 | 16 | 0 | 0 | 0 | |
| Team Total or Average | 42 | 28 | 9 | 3 | 0.926 | 2.07 | 2464 | 2 | 4 | 85 | 1144 | 0 | 1 | 0 | 0.909 | 11 | 40 | 70 | 5 | 4 | 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 | 25 | 925,000$ | 925,000$ | |||||||
| Alex Steeves | C/LW | 26 | 900,000$ | 900,000$ | |||||||
| Braeden Cootes | C | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| 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 | ||||
| Chase Pietila | D | 22 | 0$ | 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 | 24 | 925,000$ | 925,000$ | 925,000$ | ||||||
| Jackson Hallum | LW | 23 | 0$ | RFA | |||||||
| Jan Jenik | RW | 25 | 900,000$ | 900,000$ | |||||||
| Jaycob Megna | D | 33 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
| Jayson Megna | C | 36 | 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 | ||||||
| Michael Brandsegg-Nygard | LW/RW | 20 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Mike Benning | D | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Mike Benning | D | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Nate Danielson | C | 21 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
| Noah Beck | D | 25 | 975,000$ | 975,000$ | |||||||
| Paul Cotter | C/LW/RW | 26 | 775,000$ | 775,000$ | |||||||
| Quinn Hutson | RW | 24 | 875,000$ | 875,000$ | |||||||
| Rem Pitlick | C/LW/RW | 29 | 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 | 25 | 900,000$ | 900,000$ | |||||||
| Taylor Raddysh | RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Thomas Bordeleau | C/LW | 24 | 950,000$ | 950,000$ | |||||||
| Travis Boyd | C/LW/RW | 32 | 900,000$ | 900,000$ | UFA | ||||||
| Trent Miner | G | 25 | 900,000$ | 900,000$ | |||||||
| Tyson Kozak | C/LW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Victor Soderstrom | D | 25 | 775,000$ | 775,000$ | |||||||
| Vinnie Hinostroza | LW/RW | 32 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Zach Bogosian | D | 35 | 1,250,000$ | 1,250,000$ | 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 | 84 | 65 | 52 | 13 | 28 | 860 | 850 | 833 | 58 | 30 | 8 | 10 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky | |
| 2 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 1 | 0 | 84 | 65 | 52 | 13 | 66 | 860 | 850 | 833 | 58 | 73 | 7 | 31 | 43 | 10 | 2 | 20.00% | 7 | 1 | 85.71% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 33.3% | 6.1% | 93.2% | 99.2 | DULL | |
| 3 | 5 | 2 | 1 | 0 | 0 | 0 | 0 | 2 | 13 | 14 | -1 | 6 | 0.600 | 13 | 20 | 33 | 0 | 0 | 84 | 65 | 52 | 13 | 165 | 860 | 850 | 833 | 58 | 157 | 27 | 30 | 134 | 14 | 2 | 14.29% | 15 | 1 | 93.33% | 1 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 45.8% | 7.9% | 91.1% | 99.0 | Unlucky | |
| 4 | 5 | 4 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 10 | 12 | 10 | 1.000 | 22 | 39 | 61 | 0 | 1 | 84 | 65 | 52 | 13 | 208 | 860 | 850 | 833 | 58 | 148 | 46 | 47 | 105 | 26 | 12 | 46.15% | 13 | 1 | 92.31% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 52.6% | 10.6% | 93.2% | 103.8 | LUCKY | |
| 5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 84 | 65 | 52 | 13 | 64 | 860 | 850 | 833 | 58 | 57 | 22 | 6 | 49 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 36.4% | 6.3% | 87.7% | 94.0 | Unlucky | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 84 | 65 | 52 | 13 | 28 | 860 | 850 | 833 | 58 | 33 | 9 | 4 | 23 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 25.0% | 3.6% | 90.9% | 94.5 | Unlucky | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 84 | 65 | 52 | 13 | 21 | 860 | 850 | 833 | 58 | 34 | 4 | 12 | 24 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 33.3% | 4.8% | 85.3% | 90.1 | Unlucky | |
| 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 84 | 65 | 52 | 13 | 61 | 860 | 850 | 833 | 58 | 64 | 17 | 16 | 50 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 54.5% | 11.5% | 90.6% | 102.1 | FUN | |
| 9 | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 9 | 9 | 0 | 6 | 0.600 | 9 | 17 | 26 | 0 | 1 | 84 | 65 | 52 | 13 | 209 | 860 | 850 | 833 | 58 | 152 | 35 | 36 | 107 | 21 | 2 | 9.52% | 15 | 3 | 80.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 53.8% | 4.3% | 94.1% | 98.4 | DULL | |
| 10 | 5 | 2 | 1 | 0 | 0 | 1 | 0 | 1 | 9 | 10 | -1 | 6 | 0.600 | 9 | 17 | 26 | 0 | 1 | 84 | 65 | 52 | 13 | 178 | 860 | 850 | 833 | 58 | 126 | 46 | 30 | 113 | 24 | 4 | 16.67% | 13 | 1 | 92.31% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 35.7% | 5.1% | 92.1% | 97.1 | DULL | |
| 11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 84 | 65 | 52 | 13 | 72 | 860 | 850 | 833 | 58 | 38 | 7 | 10 | 41 | 9 | 2 | 22.22% | 5 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 66.7% | 5.6% | 97.4% | 102.9 | DULL | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 84 | 65 | 52 | 13 | 45 | 860 | 850 | 833 | 58 | 29 | 4 | 10 | 20 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 75.0% | 6.7% | 96.6% | 103.2 | DULL | |
| 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 84 | 65 | 52 | 13 | 43 | 860 | 850 | 833 | 58 | 21 | 3 | 6 | 17 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 80.0% | 9.3% | 95.2% | 104.5 | LUCKY | |
| 14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 84 | 65 | 52 | 13 | 34 | 860 | 850 | 833 | 58 | 23 | 12 | 4 | 21 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 66.7% | 5.9% | 95.7% | 101.5 | DULL | |
| 15 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 84 | 65 | 52 | 13 | 37 | 860 | 850 | 833 | 58 | 25 | 7 | 2 | 21 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 50.0% | 13.5% | 84.0% | 97.5 | FUN | |
| 16 | 5 | 2 | 1 | 0 | 0 | 2 | 0 | 0 | 16 | 11 | 5 | 6 | 0.600 | 16 | 31 | 47 | 0 | 2 | 84 | 65 | 52 | 13 | 171 | 860 | 850 | 833 | 58 | 146 | 49 | 45 | 114 | 18 | 4 | 22.22% | 19 | 1 | 94.74% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 54.5% | 9.4% | 92.5% | 101.8 | LUCKY | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 84 | 65 | 52 | 13 | 38 | 860 | 850 | 833 | 58 | 17 | 7 | 4 | 27 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 66.7% | 7.9% | 94.1% | 102.0 | DULL | |
| 18 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 84 | 65 | 52 | 13 | 106 | 860 | 850 | 833 | 58 | 85 | 20 | 24 | 68 | 14 | 3 | 21.43% | 11 | 4 | 63.64% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 77.8% | 9.4% | 92.9% | 102.4 | LUCKY | |
| 19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 84 | 65 | 52 | 13 | 39 | 860 | 850 | 833 | 58 | 17 | 7 | 0 | 19 | 5 | 1 | 20.00% | 0 | 0 | 0.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 100.0% | 7.7% | 100.0% | 107.7 | DULL | |
| 20 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 84 | 65 | 52 | 13 | 69 | 860 | 850 | 833 | 58 | 61 | 23 | 20 | 57 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 1 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 71.4% | 10.1% | 93.4% | 103.6 | LUCKY | |
| 21 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 20 | 12 | 8 | 8 | 0.800 | 20 | 35 | 55 | 0 | 0 | 84 | 65 | 52 | 13 | 208 | 860 | 850 | 833 | 58 | 121 | 41 | 24 | 128 | 20 | 6 | 30.00% | 10 | 2 | 80.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 58.3% | 9.6% | 90.1% | 99.7 | FUN | |
| 22 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 84 | 65 | 52 | 13 | 40 | 860 | 850 | 833 | 58 | 39 | 9 | 4 | 20 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 50.0% | 10.0% | 92.3% | 102.3 | LUCKY | |
| 23 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 84 | 65 | 52 | 13 | 59 | 860 | 850 | 833 | 58 | 56 | 15 | 26 | 50 | 9 | 4 | 44.44% | 13 | 3 | 76.92% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 75.0% | 11.9% | 92.9% | 104.7 | LUCKY | |
| 24 | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 16 | 13 | 3 | 6 | 0.600 | 16 | 29 | 45 | 0 | 0 | 84 | 65 | 52 | 13 | 138 | 860 | 850 | 833 | 58 | 143 | 45 | 36 | 140 | 19 | 5 | 26.32% | 18 | 1 | 94.44% | 1 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 47.8% | 11.6% | 90.9% | 102.5 | FUN | |
| 25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 84 | 65 | 52 | 13 | 33 | 860 | 850 | 833 | 58 | 33 | 2 | 6 | 18 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 60.0% | 12.1% | 93.9% | 106.1 | LUCKY | |
| 26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 84 | 65 | 52 | 13 | 44 | 860 | 850 | 833 | 58 | 28 | 9 | 13 | 26 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 100.0% | 6.8% | 100.0% | 106.8 | DULL | |
| 27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 84 | 65 | 52 | 13 | 43 | 860 | 850 | 833 | 58 | 25 | 6 | 4 | 20 | 7 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 60.0% | 7.0% | 92.0% | 99.0 | DULL | |
| 28 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 84 | 65 | 52 | 13 | 62 | 860 | 850 | 833 | 58 | 57 | 17 | 16 | 45 | 9 | 1 | 11.11% | 7 | 1 | 85.71% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 33.3% | 4.8% | 91.2% | 96.1 | DULL | |
| 29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 84 | 65 | 52 | 13 | 38 | 860 | 850 | 833 | 58 | 37 | 10 | 8 | 15 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 83.3% | 13.2% | 97.3% | 110.5 | LUCKY | |
| 30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 84 | 65 | 52 | 13 | 68 | 860 | 850 | 833 | 58 | 69 | 12 | 12 | 41 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 50.0% | 5.9% | 94.2% | 100.1 | DULL | |
| 31 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 10 | 4 | 6 | 0.750 | 14 | 25 | 39 | 0 | 0 | 84 | 65 | 52 | 13 | 162 | 860 | 850 | 833 | 58 | 107 | 26 | 22 | 91 | 14 | 2 | 14.29% | 11 | 0 | 100.00% | 1 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 54.5% | 8.6% | 90.7% | 99.3 | Unlucky | |
| _Vs Division | 21 | 18 | 8 | 0 | 2 | 3 | 1 | 3 | 52 | 54 | -2 | 48 | 1.143 | 52 | 89 | 141 | 1 | 1 | 84 | 65 | 52 | 13 | 656 | 860 | 850 | 833 | 58 | 622 | 151 | 149 | 525 | 76 | 13 | 17.11% | 64 | 5 | 92.19% | 2 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 44.3% | 7.9% | 91.3% | 99.2 | DULL | |
| _Vs Conference | 52 | 25 | 15 | 0 | 4 | 3 | 2 | 3 | 151 | 117 | 34 | 68 | 0.654 | 151 | 269 | 420 | 1 | 6 | 84 | 65 | 52 | 13 | 1836 | 860 | 850 | 833 | 58 | 1484 | 417 | 397 | 1244 | 211 | 50 | 23.70% | 165 | 22 | 86.67% | 3 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 51.5% | 8.2% | 92.1% | 100.3 | DULL | |
| _Since Last GM Reset | 72 | 37 | 20 | 0 | 6 | 3 | 3 | 3 | 210 | 158 | 52 | 98 | 0.681 | 210 | 377 | 587 | 1 | 8 | 84 | 65 | 52 | 13 | 2577 | 860 | 850 | 833 | 58 | 2051 | 552 | 518 | 1670 | 285 | 58 | 20.35% | 217 | 25 | 88.48% | 5 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 53.3% | 8.1% | 92.3% | 100.4 | DULL | |
| Total | 72 | 37 | 20 | 0 | 6 | 3 | 3 | 3 | 210 | 158 | 52 | 98 | 0.681 | 210 | 377 | 587 | 1 | 8 | 84 | 65 | 52 | 13 | 2577 | 860 | 850 | 833 | 58 | 2051 | 552 | 518 | 1670 | 285 | 58 | 20.35% | 217 | 25 | 88.48% | 5 | 1515 | 2838 | 53.38% | 1367 | 2390 | 57.20% | 605 | 1084 | 55.81% | 1822 | 1237 | 1574 | 546 | 967 | 499 | 53.3% | 8.1% | 92.3% | 100.4 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 13 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2838 |
| Neutral Zone Start | 1084 |
| Defensive Zone Start | 2390 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3487 |
| Faceoffs Lost | 2825 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.9 | 9.57 |
| 2nd Period | 23.8 | 20.31 |
| 3rd Period | 35.3 | 30.68 |
| Overtime | 36.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 146 |
|---|---|
| PP Goal | 58 |
| PK Goal | 5 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 23 | 23 |
| Lost | 11 | 9 |
| Overtime Lost | 2 | 4 |
| PP Attempt | 285 |
|---|---|
| PP Goal | 58 |
| PK Attempt | 217 |
| PK Goal Against | 25 |
| Home | |
|---|---|
| Shots For | 35.8 |
| Shots Against | 28.5 |
| Goals For | 2.9 |
| Goals Against | 2.2 |
| Hits | 23.2 |
| Shots Blocked | 7.7 |
| Pim | 7.2 |
| 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 | |||||||||||
| 2025-12-08 | @ | Marlies2,Rocket3 (SO) | RECAP | |||||||||||
| 2025-12-09 | @ | Penguins2,Marlies1 | RECAP | |||||||||||
| 2025-12-13 | @ | Marlies4,Checkers3 (OT) | RECAP | |||||||||||
| 2025-12-14 | @ | Monsters3,Marlies4 | RECAP | |||||||||||
| 2025-12-17 | @ | Marlies2,Comets3 (SO) | RECAP | |||||||||||
| 2025-12-20 | @ | Silver Knights1,Marlies2 | RECAP | |||||||||||
| 2025-12-22 | @ | Marlies1,Wolves3 | RECAP | |||||||||||
| 2025-12-24 | @ | Comets1,Marlies3 | RECAP | |||||||||||
| 2025-12-28 | @ | Marlies3,Griffins2 (OT) | RECAP | |||||||||||
| 2025-12-29 | @ | Phantoms3,Marlies1 | RECAP | |||||||||||
| 2026-01-01 | @ | Marlies2,Monsters1 (SO) | RECAP | |||||||||||
| 2026-01-02 | @ | Checkers1,Marlies3 | RECAP | |||||||||||
| 2026-01-05 | @ | Marlies4,Canucks1 | RECAP | |||||||||||
| 2026-01-08 | @ | Rocket0,Marlies1 | RECAP | |||||||||||
| 2026-01-12 | @ | Marlies3,Islanders4 | RECAP | |||||||||||
| 2026-01-13 | @ | Rocket2,Marlies0 | RECAP | |||||||||||
| 2026-01-17 | @ | Marlies2,Crunch3 (OT) | RECAP | |||||||||||
| 2026-01-18 | @ | Barracuda1,Marlies5 | RECAP | |||||||||||
| 2026-01-21 | @ | Marlies3,Rocket1 | RECAP | |||||||||||
| 2026-01-23 | @ | Senators0,Marlies2 | RECAP | |||||||||||
| 2026-01-28 | @ | Americans4,Marlies3 | RECAP | |||||||||||
| 2026-01-29 | @ | Marlies5,Senators2 | RECAP | |||||||||||
| 2026-02-02 | @ | Eagles5,Marlies1 | RECAP | |||||||||||
| 2026-02-04 | @ | Marlies4,IceHogs3 (OT) | RECAP | |||||||||||
| 2026-02-06 | @ | Griffins1,Marlies2 | RECAP | |||||||||||
| 2026-02-08 | @ | Marlies2,Reign1 (OT) | RECAP | |||||||||||
| 2026-02-11 | @ | Senators1,Marlies5 | RECAP | |||||||||||
| 2026-02-13 | @ | Marlies1,Wolf Pack3 | RECAP | |||||||||||
| 2026-02-17 | @ | Firebirds5,Marlies2 | RECAP | |||||||||||
| 2026-02-18 | @ | Marlies5,Admirals4 (SO) | RECAP | |||||||||||
| 2026-02-21 | @ | Americans2,Marlies4 | RECAP | |||||||||||
| 2026-02-23 | @ | Marlies3,Bruins2 (OT) | RECAP | |||||||||||
| 2026-02-26 | @ | Bears1,Marlies2 | RECAP | |||||||||||
| 2026-03-01 | @ | Marlies2,Bears0 | RECAP | |||||||||||
| 2026-03-03 | @ | Marlies4,Thunderbirds1 | RECAP | |||||||||||
| 2026-03-04 | @ | Comets1,Marlies3 | RECAP | |||||||||||
| 2026-03-07 | @ | Marlies4,Comets5 (SO) | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | Griffins2,Marlies1 | RECAP | |||||||||||
| 2026-03-12 | @ | Condors1,Marlies3 | RECAP | |||||||||||
| 2026-03-13 | @ | Marlies2,Penguins3 | RECAP | |||||||||||
| 2026-03-17 | @ | Marlies3,Roadrunners0 | RECAP | |||||||||||
| 2026-03-18 | @ | Firebirds1,Marlies5 | RECAP | |||||||||||
| 2026-03-20 | @ | Marlies4,Americans1 | RECAP | |||||||||||
| 2026-03-22 | @ | Marlies5,Senators4 (OT) | RECAP | |||||||||||
| 2026-03-23 | @ | Thunderbirds3,Marlies1 | RECAP | |||||||||||
| 2026-03-24 | @ | Marlies4,Firebirds2 | RECAP | |||||||||||
| 2026-03-29 | @ | Thunderbirds2,Marlies5 | RECAP | |||||||||||
| 2026-03-30 | @ | Marlies4,Moose2 | RECAP | |||||||||||
| 2026-03-31 | @ | Marlies3,Firebirds2 | RECAP | |||||||||||
| 2026-04-01 | @ | Marlies3,Phantoms2 (SO) | RECAP | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,319,333$ | 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 |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,319,333$ | 3,319,333$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,574,995$ | 18,441$ | 3,074,982$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 4 | 21,219$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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|
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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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