*** Dernier droit pour les séries ou le mix ... Bonne chance!!!! ***
Last update: 2025-04-19 22:29:39
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trey Fix-Wolansky | 46 | RW | 100.00 | 58 | 57 | 70 | 66 | 61 | 67 | 64 | 65 | 55 | 64 | 65 | 65 | 68 | 60 | 56 | 0 | 50 | 67 | 25 | 775,000$/2yrs | |||
Nick Abruzzese | 0 | C/LW | 100.00 | 55 | 57 | 68 | 61 | 62 | 69 | 66 | 64 | 55 | 63 | 60 | 63 | 56 | 60 | 56 | 0 | 50 | 65 | 25 | 775,000$/2yrs | |||
Shane Wright | 0 | C | 100.00 | 57 | 55 | 72 | 62 | 69 | 66 | 62 | 62 | 60 | 62 | 64 | 64 | 57 | 53 | 53 | 0 | 50 | 65 | 21 | 3,980,833$/3yrs | |||
Akil Thomas | 41 | C/RW | 100.00 | 56 | 58 | 69 | 61 | 64 | 65 | 63 | 61 | 60 | 60 | 62 | 64 | 58 | 58 | 55 | 0 | 50 | 64 | 25 | 775,000$/3yrs | |||
Oskar Steen | 62 | C/RW | 100.00 | 64 | 50 | 79 | 65 | 70 | 61 | 63 | 57 | 63 | 56 | 60 | 68 | 55 | 60 | 58 | 0 | 50 | 64 | 27 | 800,000$/1yrs | |||
Oskar Lindblom | 0 | LW | 100.00 | 61 | 51 | 75 | 60 | 72 | 64 | 71 | 58 | 56 | 61 | 59 | 65 | 55 | 66 | 60 | 0 | 50 | 64 | 28 | 2,500,000$/1yrs | |||
Olle Lycksell | 0 | C/LW/RW | 100.00 | 56 | 53 | 73 | 64 | 63 | 63 | 60 | 61 | 55 | 62 | 61 | 64 | 55 | 59 | 57 | 0 | 50 | 64 | 25 | 787,500$/2yrs | |||
Marco Kasper | 0 | C | 100.00 | 56 | 52 | 74 | 61 | 69 | 71 | 65 | 58 | 64 | 60 | 57 | 65 | 54 | 53 | 53 | 0 | 50 | 64 | 21 | 1,918,333$/3yrs | |||
Curtis Douglas | 28 | C | 100.00 | 59 | 54 | 58 | 60 | 69 | 67 | 66 | 57 | 70 | 57 | 56 | 62 | 54 | 58 | 55 | 0 | 50 | 62 | 25 | 837,500$/3yrs | |||
Curtis Hall | 20 | C | 100.00 | 55 | 55 | 68 | 55 | 73 | 60 | 59 | 55 | 70 | 55 | 55 | 61 | 54 | 58 | 55 | 0 | 50 | 60 | 24 | 925,000$/1yrs | |||
Avery Hayes | 0 | RW | 100.00 | 52 | 54 | 67 | 54 | 58 | 57 | 56 | 53 | 52 | 52 | 53 | 59 | 51 | 52 | 50 | 0 | 50 | 57 | 22 | 775,000$/1yrs | |||
Ryan Chyzowski | 13 | C/LW | 100.00 | 51 | 52 | 64 | 53 | 55 | 58 | 57 | 51 | 52 | 51 | 52 | 56 | 51 | 54 | 51 | 0 | 50 | 56 | 24 | 775,000$/1yrs | |||
Jordan Spence | 53 | D | 100.00 | 62 | 45 | 83 | 68 | 67 | 69 | 73 | 62 | 41 | 66 | 58 | 73 | 55 | 57 | 57 | 0 | 50 | 68 | 24 | 919,167$/3yrs | |||
Kevin Korchinski (R) | 0 | D | 100.00 | 58 | 38 | 80 | 76 | 66 | 79 | 72 | 54 | 38 | 55 | 57 | 63 | 51 | 53 | 55 | 0 | 50 | 65 | 20 | 750,000$/3yrs | |||
Ty Smith | 24 | D | 100.00 | 56 | 55 | 67 | 62 | 62 | 67 | 65 | 61 | 40 | 63 | 57 | 62 | 54 | 58 | 55 | 0 | 50 | 64 | 25 | 775,000$/2yrs | |||
Marshall Rifai | 0 | D | 100.00 | 58 | 56 | 65 | 59 | 67 | 68 | 66 | 58 | 41 | 59 | 56 | 65 | 55 | 62 | 57 | 0 | 50 | 63 | 27 | 775,000$/4yrs | |||
Reilly Walsh | 8 | D | 100.00 | 55 | 54 | 68 | 60 | 65 | 67 | 65 | 60 | 40 | 59 | 57 | 61 | 54 | 60 | 56 | 0 | 50 | 63 | 25 | 775,000$/2yrs | |||
Nick Cicek | 59 | D | 100.00 | 58 | 56 | 66 | 59 | 72 | 68 | 65 | 56 | 40 | 58 | 55 | 65 | 54 | 58 | 55 | 0 | 50 | 63 | 24 | 835,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Kai Schwindt | 0 | C | 100.00 | 51 | 51 | 67 | 51 | 70 | 51 | 51 | 51 | 52 | 51 | 51 | 56 | 51 | 51 | 49 | 0 | 50 | 55 | 21 | 821,667$/4yrs | |||
William Villeneuve | 0 | D | 100.00 | 56 | 54 | 67 | 57 | 67 | 65 | 64 | 59 | 40 | 59 | 55 | 63 | 54 | 55 | 53 | 0 | 50 | 62 | 23 | 817,778$/2yrs | |||
Vladislav Kolyachonok | 92 | D | 100.00 | 56 | 54 | 69 | 58 | 70 | 65 | 63 | 58 | 41 | 57 | 56 | 64 | 55 | 57 | 55 | 0 | 50 | 62 | 23 | 905,000$/3yrs | |||
Jeremie Biakabutuka | 0 | D | 100.00 | 54 | 54 | 69 | 54 | 72 | 54 | 54 | 54 | 40 | 54 | 54 | 59 | 54 | 55 | 53 | 0 | 50 | 59 | 23 | 825,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pavel Francouz | 0 | 100.00 | 76 | 60 | 63 | 68 | 69 | 72 | 80 | 72 | 74 | 59 | 87 | 56 | 55 | 0 | 50 | 72 | 34 | 2,000,000$/1yrs |
Sebastian Cossa | 0 | 100.00 | 64 | 65 | 66 | 75 | 67 | 59 | 67 | 65 | 59 | 62 | 63 | 53 | 51 | 0 | 50 | 65 | 22 | 1,713,333$/2yrs |
| Scratches | ||||||||||||||||||||
Felix Sandstrom | 32 | 100.00 | 63 | 62 | 63 | 68 | 66 | 63 | 68 | 63 | 65 | 67 | 59 | 61 | 56 | 0 | 50 | 65 | 28 | 775,000$/1yrs |
Joel Blomqvist | 0 | 100.00 | 65 | 66 | 66 | 63 | 68 | 57 | 68 | 65 | 58 | 62 | 66 | 53 | 51 | 0 | 50 | 64 | 23 | 925,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Félix Potvin | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 53 | 5 | 0$ |
| 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% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jordan Spence | Marlies (TOR) | D | 80 | 15 | 61 | 76 | 2 | 46 | 0 | 109 | 196 | 70 | 113 | 7.65% | 126 | 22.63 | 8 | 18 | 26 | 0 | 1 | 1 | 186 | 1 | 0 | 0.00% | 0 | 0 | 0.95 | 0 | 0 | 0.86 | |||
| 2 | Trey Fix-Wolansky | Marlies (TOR) | RW | 82 | 21 | 42 | 63 | -10 | 36 | 0 | 126 | 250 | 53 | 203 | 8.40% | 24 | 18.68 | 6 | 17 | 23 | 0 | 0 | 0 | 129 | 1 | 1 | 42.39% | 0 | 1 | 0.77 | 0 | 3 | 0.71 | |||
| 3 | Olle Lycksell | Marlies (TOR) | C/LW/RW | 82 | 28 | 34 | 62 | 26 | 26 | 0 | 97 | 175 | 45 | 158 | 16.00% | 12 | 15.12 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 3 | 36.78% | 0 | 1 | 0.76 | 0 | 0 | 0.80 | |||
| 4 | Shane Wright | Marlies (TOR) | C | 82 | 18 | 43 | 61 | -11 | 32 | 0 | 106 | 190 | 46 | 166 | 9.47% | 20 | 20.15 | 7 | 16 | 23 | 0 | 0 | 0 | 182 | 3 | 3 | 48.01% | 0 | 0 | 0.74 | 1 | 4 | 0.60 | |||
| 5 | Marco Kasper | Marlies (TOR) | C | 80 | 17 | 39 | 56 | 22 | 30 | 0 | 83 | 170 | 42 | 109 | 10.00% | 17 | 16.61 | 8 | 9 | 17 | 0 | 0 | 0 | 13 | 2 | 0 | 48.03% | 0 | 0 | 0.70 | 0 | 3 | 0.69 | |||
| 6 | Ty Smith | Marlies (TOR) | D | 82 | 9 | 40 | 49 | -1 | 50 | 0 | 150 | 118 | 21 | 67 | 7.63% | 107 | 20.42 | 4 | 12 | 16 | 0 | 0 | 0 | 211 | 0 | 1 | 0.00% | 0 | 0 | 0.60 | 0 | 0 | 0.52 | |||
| 7 | Kevin Korchinski | Marlies (TOR) | D | 74 | 11 | 38 | 49 | 3 | 26 | 0 | 124 | 108 | 39 | 90 | 10.19% | 99 | 21.41 | 6 | 16 | 22 | 0 | 0 | 0 | 162 | 1 | 0 | 0.00% | 0 | 0 | 0.66 | 0 | 0 | 0.63 | |||
| 8 | Oskar Lindblom | Marlies (TOR) | LW | 82 | 20 | 27 | 47 | -7 | 18 | 0 | 76 | 186 | 47 | 150 | 10.75% | 16 | 16.17 | 3 | 7 | 10 | 0 | 1 | 1 | 117 | 4 | 0 | 44.76% | 0 | 0 | 0.57 | 0 | 1 | 0.56 | |||
| 9 | Akil Thomas | Marlies (TOR) | C/RW | 82 | 21 | 17 | 38 | 19 | 30 | 10 | 77 | 151 | 50 | 119 | 13.91% | 10 | 11.43 | 3 | 4 | 7 | 0 | 0 | 0 | 52 | 2 | 2 | 48.78% | 0 | 0 | 0.46 | 1 | 1 | 0.54 | |||
| 10 | Oskar Steen | Marlies (TOR) | C/RW | 81 | 24 | 13 | 37 | -1 | 20 | 0 | 76 | 137 | 39 | 118 | 17.52% | 10 | 12.52 | 3 | 3 | 6 | 1 | 0 | 1 | 115 | 3 | 0 | 53.42% | 1 | 0 | 0.46 | 2 | 2 | 0.46 | |||
| 11 | Nick Abruzzese | Marlies (TOR) | C/LW | 74 | 11 | 23 | 34 | -1 | 30 | 10 | 76 | 147 | 44 | 109 | 7.48% | 4 | 13.85 | 3 | 6 | 9 | 0 | 0 | 0 | 18 | 1 | 0 | 44.52% | 0 | 0 | 0.46 | 0 | 0 | 0.43 | |||
| 12 | Nick Cicek | Marlies (TOR) | D | 72 | 5 | 19 | 24 | 6 | 38 | 0 | 101 | 60 | 16 | 19 | 8.33% | 60 | 13.55 | 1 | 1 | 2 | 0 | 0 | 0 | 51 | 2 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.30 | |||
| 13 | Marshall Rifai | Marlies (TOR) | D | 70 | 7 | 15 | 22 | 5 | 66 | 0 | 128 | 56 | 19 | 35 | 12.50% | 74 | 17.36 | 1 | 0 | 1 | 0 | 0 | 0 | 171 | 1 | 1 | 0.00% | 0 | 0 | 0.31 | 0 | 0 | 0.23 | |||
| 14 | Curtis Douglas | Marlies (TOR) | C | 71 | 5 | 11 | 16 | -4 | 12 | 0 | 76 | 69 | 20 | 41 | 7.25% | 4 | 10.24 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 1 | 0 | 51.56% | 0 | 0 | 0.23 | 0 | 0 | 0.20 | |||
| 15 | Reilly Walsh | Marlies (TOR) | D | 58 | 3 | 13 | 16 | -5 | 42 | 0 | 79 | 41 | 18 | 33 | 7.32% | 59 | 16.43 | 1 | 3 | 4 | 0 | 0 | 0 | 106 | 0 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 0 | 0.17 | |||
| 16 | Curtis Hall | Marlies (TOR) | C | 37 | 0 | 3 | 3 | -2 | 4 | 0 | 17 | 17 | 6 | 18 | 0.00% | 2 | 7.00 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0 | 0 | 54.93% | 0 | 0 | 0.08 | 0 | 0 | 0.06 | |||
| 17 | Vladislav Kolyachonok | Marlies (TOR) | D | 7 | 0 | 1 | 1 | 5 | 2 | 0 | 8 | 0 | 1 | 1 | 0.00% | 2 | 6.54 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.32 | |||
| 18 | Ryan Chyzowski | Marlies (TOR) | C/LW | 15 | 1 | 0 | 1 | -7 | 6 | 0 | 7 | 8 | 3 | 6 | 12.50% | 0 | 7.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 0.07 | 0 | 0 | -0.12 | |||
| 19 | William Villeneuve | Marlies (TOR) | D | 4 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2.29 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.09 | |||
| 20 | Avery Hayes | Marlies (TOR) | RW | 17 | 0 | 0 | 0 | -7 | 0 | 0 | 12 | 12 | 1 | 13 | 0.00% | 2 | 7.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.71% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
| Team Total or Average | 1232 | 216 | 439 | 655 | 34 | 516 | 20 | 1528 | 2091 | 580 | 1568 | 10.33% | 648 | 15.87 | 57 | 116 | 173 | 2314 | 1 | 2 | 3 | 1653 | 24 | 11 | 48.25% | 6357 | 0 | 0 | 1 | 2 | 0.67 | 4 | 14 |
| 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 | Pavel Francouz | Marlies (TOR) | 43 | 22 | 16 | 4 | 0.902 | 3.31 | 2505 | 4 | 2 | 138 | 1412 | 0 | 0 | 1 | 0.850 | 20 | 43 | 5 | 3 | 0 | 3 |
| 2 | Sebastian Cossa | Marlies (TOR) | 33 | 16 | 11 | 4 | 0.896 | 3.37 | 1887 | 0 | 1 | 106 | 1017 | 0 | 2 | 0 | 0.000 | 0 | 30 | 51 | 3 | 0 | 0 |
| 3 | Felix Sandstrom | Marlies (TOR) | 10 | 4 | 5 | 0 | 0.900 | 3.53 | 561 | 2 | 0 | 33 | 329 | 0 | 0 | 0 | 0.000 | 0 | 9 | 25 | 0 | 0 | 0 |
| Team Total or Average | 86 | 42 | 32 | 8 | 0.900 | 3.35 | 4955 | 6 | 3 | 277 | 2758 | 0 | 2 | 1 | 0.850 | 20 | 82 | 81 | 6 | 0 | 3 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas ![]() | C/RW | 25 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Avery Hayes | RW | 22 | 775,000$ | 775,000$ | RFA | ||||||
Curtis Douglas ![]() | C | 25 | 837,500$ | 837,500$ | 775,000$ | 775,000$ | UFA | ||||
Curtis Hall | C | 24 | 925,000$ | 925,000$ | RFA | ||||||
Felix Sandstrom ![]() | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Jeremie Biakabutuka | D | 23 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | RFA | ||||
Joel Blomqvist | G | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Jordan Spence | D | 24 | 919,167$ | 919,167$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Kai Schwindt | C | 21 | 821,667$ | 821,667$ | 798,337$ | 798,337$ | 798,337$ | RFA | |||
Kevin Korchinski | D | 20 | 750,000$ | 1,918,333$ | 1,918,333$ | 1,918,333$ | RFA | ||||
Marco Kasper | C | 21 | 1,918,333$ | 1,918,333$ | 1,918,333$ | 1,918,333$ | RFA | ||||
Marshall Rifai ![]() | D | 27 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | |||
Nick Abruzzese ![]() | C/LW | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nick Cicek | D | 24 | 835,000$ | 835,000$ | RFA | ||||||
Olle Lycksell ![]() | C/LW/RW | 25 | 787,500$ | 787,500$ | 787,500$ | UFA | |||||
Oskar Lindblom ![]() | LW | 28 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Oskar Steen ![]() | C/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Pavel Francouz ![]() | G | 34 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Reilly Walsh ![]() | D | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Ryan Chyzowski | C/LW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Sebastian Cossa | G | 22 | 1,713,333$ | 1,713,333$ | 1,713,333$ | RFA | |||||
Shane Wright | C | 21 | 3,980,833$ | 3,980,833$ | 3,980,833$ | 3,980,833$ | RFA | ||||
Trey Fix-Wolansky ![]() | RW | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Ty Smith ![]() | D | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Vladislav Kolyachonok | D | 23 | 905,000$ | 905,000$ | 775,000$ | 775,000$ | UFA | ||||
William Villeneuve | D | 23 | 817,778$ | 817,778$ | 817,778$ | RFA |
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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 | Checkers | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 26 | 24 | 2 | 8 | 0.571 | 26 | 46 | 72 | 1 | 0 | 116 | 94 | 86 | 6 | 201 | 935 | 924 | 849 | 41 | 255 | 100 | 59 | 173 | 24 | 8 | 33.33% | 26 | 4 | 84.62% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 47.4% | 12.9% | 90.6% | 103.5 | FUN |
| 2 | Americans | 5 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 16 | 20 | -4 | 3 | 0.300 | 16 | 29 | 45 | 0 | 0 | 116 | 94 | 86 | 6 | 180 | 935 | 924 | 849 | 41 | 174 | 53 | 28 | 117 | 17 | 4 | 23.53% | 14 | 4 | 71.43% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 42.9% | 8.9% | 88.5% | 97.4 | Unlucky |
| 3 | Binghamton Senateurs | 5 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 14 | 14 | 0 | 6 | 0.600 | 14 | 24 | 38 | 0 | 0 | 116 | 94 | 86 | 6 | 152 | 935 | 924 | 849 | 41 | 176 | 41 | 44 | 152 | 19 | 1 | 5.26% | 18 | 3 | 83.33% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 54.2% | 9.2% | 92.0% | 101.3 | LUCKY |
| 4 | Bears | 5 | 2 | 1 | 0 | 0 | 0 | 1 | 1 | 19 | 21 | -2 | 7 | 0.700 | 19 | 30 | 49 | 0 | 0 | 116 | 94 | 86 | 6 | 193 | 935 | 924 | 849 | 41 | 182 | 65 | 46 | 117 | 24 | 3 | 12.50% | 23 | 4 | 82.61% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 48.5% | 9.8% | 88.5% | 98.3 | FUN |
| 5 | Rockets | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 17 | -2 | 4 | 0.400 | 15 | 27 | 42 | 0 | 1 | 116 | 94 | 86 | 6 | 138 | 935 | 924 | 849 | 41 | 168 | 45 | 43 | 95 | 22 | 2 | 9.09% | 18 | 2 | 88.89% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 46.4% | 10.9% | 89.9% | 100.8 | FUN |
| 6 | Providence Bruins | 6 | 1 | 4 | 0 | 0 | 1 | 0 | 0 | 19 | 28 | -9 | 3 | 0.250 | 19 | 35 | 54 | 0 | 0 | 116 | 94 | 86 | 6 | 229 | 935 | 924 | 849 | 41 | 189 | 52 | 49 | 153 | 25 | 5 | 20.00% | 21 | 5 | 76.19% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 37.8% | 8.3% | 85.2% | 93.5 | Unlucky |
| 7 | Wolves | 5 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 12 | 25 | -13 | 0 | 0.000 | 12 | 22 | 34 | 0 | 0 | 116 | 94 | 86 | 6 | 144 | 935 | 924 | 849 | 41 | 215 | 55 | 56 | 126 | 18 | 2 | 11.11% | 28 | 10 | 64.29% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 40.0% | 8.3% | 88.4% | 96.7 | Unlucky |
| 8 | Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 116 | 94 | 86 | 6 | 18 | 935 | 924 | 849 | 41 | 48 | 14 | 16 | 25 | 2 | 1 | 50.00% | 8 | 2 | 75.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 40.0% | 16.7% | 89.6% | 106.3 | FUN |
| 9 | Phantoms | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 8 | 9 | 6 | 1.000 | 17 | 31 | 48 | 0 | 1 | 116 | 94 | 86 | 6 | 116 | 935 | 924 | 849 | 41 | 91 | 27 | 18 | 85 | 15 | 5 | 33.33% | 9 | 1 | 88.89% | 1 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 63.2% | 14.7% | 91.2% | 105.9 | LUCKY |
| 10 | Wolf Pack | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 11 | 4 | 5 | 0.833 | 15 | 29 | 44 | 0 | 0 | 116 | 94 | 86 | 6 | 94 | 935 | 924 | 849 | 41 | 107 | 30 | 46 | 75 | 9 | 3 | 33.33% | 15 | 3 | 80.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 60.0% | 16.0% | 89.7% | 105.7 | FUN |
| 11 | islanders | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 116 | 94 | 86 | 6 | 121 | 935 | 924 | 849 | 41 | 83 | 18 | 21 | 81 | 16 | 3 | 18.75% | 7 | 3 | 57.14% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 58.3% | 8.3% | 90.4% | 98.6 | Unlucky |
| 12 | IceHogs | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 116 | 94 | 86 | 6 | 49 | 935 | 924 | 849 | 41 | 32 | 7 | 6 | 20 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 42.9% | 8.2% | 84.4% | 92.5 | Unlucky |
| 13 | Griffins | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 21 | 18 | 3 | 6 | 0.600 | 21 | 39 | 60 | 0 | 0 | 116 | 94 | 86 | 6 | 162 | 935 | 924 | 849 | 41 | 158 | 45 | 48 | 122 | 25 | 7 | 28.00% | 21 | 4 | 80.95% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 50.0% | 13.0% | 88.6% | 101.6 | FUN |
| 14 | Monsters | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 11 | -1 | 3 | 0.500 | 10 | 18 | 28 | 0 | 0 | 116 | 94 | 86 | 6 | 109 | 935 | 924 | 849 | 41 | 115 | 34 | 18 | 84 | 13 | 3 | 23.08% | 8 | 0 | 100.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 38.9% | 9.2% | 90.4% | 99.6 | FUN |
| 15 | Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 116 | 94 | 86 | 6 | 27 | 935 | 924 | 849 | 41 | 42 | 12 | 4 | 21 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 40.0% | 11.1% | 90.5% | 101.6 | FUN |
| 16 | Condors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 116 | 94 | 86 | 6 | 39 | 935 | 924 | 849 | 41 | 17 | 5 | 6 | 25 | 7 | 1 | 14.29% | 1 | 1 | 0.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 66.7% | 12.8% | 82.4% | 95.2 | FUN |
| 17 | Iowa Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 116 | 94 | 86 | 6 | 41 | 935 | 924 | 849 | 41 | 24 | 8 | 0 | 22 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 66.7% | 9.8% | 91.7% | 101.4 | LUCKY |
| 18 | Reign | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 116 | 94 | 86 | 6 | 44 | 935 | 924 | 849 | 41 | 32 | 15 | 12 | 27 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 33.3% | 4.5% | 87.5% | 92.0 | Unlucky |
| 19 | Thunderbirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 116 | 94 | 86 | 6 | 43 | 935 | 924 | 849 | 41 | 39 | 13 | 4 | 25 | 4 | 3 | 75.00% | 2 | 0 | 100.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 50.0% | 14.0% | 92.3% | 106.3 | LUCKY |
| 20 | Wranglers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 116 | 94 | 86 | 6 | 35 | 935 | 924 | 849 | 41 | 36 | 14 | 14 | 28 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 83.3% | 14.3% | 97.2% | 111.5 | LUCKY |
| 21 | Gulls | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 116 | 94 | 86 | 6 | 28 | 935 | 924 | 849 | 41 | 39 | 16 | 10 | 24 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 42.9% | 17.9% | 89.7% | 107.6 | FUN |
| 22 | Texas Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 116 | 94 | 86 | 6 | 26 | 935 | 924 | 849 | 41 | 31 | 8 | 6 | 26 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 80.0% | 19.2% | 96.8% | 116.0 | LUCKY |
| 23 | Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 116 | 94 | 86 | 6 | 20 | 935 | 924 | 849 | 41 | 32 | 7 | 10 | 26 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 66.7% | 20.0% | 93.8% | 113.8 | LUCKY |
| 24 | Comets | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 7 | 5 | 3 | 0.500 | 12 | 20 | 32 | 0 | 1 | 116 | 94 | 86 | 6 | 108 | 935 | 924 | 849 | 41 | 84 | 24 | 24 | 65 | 9 | 2 | 22.22% | 11 | 2 | 81.82% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 66.7% | 11.1% | 91.7% | 102.8 | LUCKY |
| 25 | W-B/Scranton Penguins | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 116 | 94 | 86 | 6 | 83 | 935 | 924 | 849 | 41 | 97 | 28 | 20 | 79 | 4 | 2 | 50.00% | 9 | 3 | 66.67% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 58.8% | 14.5% | 89.7% | 104.1 | FUN |
| 26 | Roadrunners | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 116 | 94 | 86 | 6 | 24 | 935 | 924 | 849 | 41 | 43 | 13 | 10 | 34 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 0.0% | 4.2% | 88.4% | 92.5 | Unlucky |
| 27 | Crunch | 5 | 4 | 0 | 0 | 1 | 0 | 0 | 0 | 20 | 8 | 12 | 10 | 1.000 | 20 | 38 | 58 | 0 | 0 | 116 | 94 | 86 | 6 | 174 | 935 | 924 | 849 | 41 | 110 | 34 | 40 | 124 | 22 | 7 | 31.82% | 18 | 4 | 77.78% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 76.5% | 11.5% | 92.7% | 104.2 | LUCKY |
| 28 | Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 116 | 94 | 86 | 6 | 37 | 935 | 924 | 849 | 41 | 29 | 9 | 12 | 25 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 100.0% | 18.9% | 96.6% | 115.5 | LUCKY |
| 29 | Moose | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 116 | 94 | 86 | 6 | 37 | 935 | 924 | 849 | 41 | 37 | 8 | 12 | 26 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 1 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 50.0% | 5.4% | 91.9% | 97.3 | DULL |
| 30 | Silver Knights | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 116 | 94 | 86 | 6 | 29 | 935 | 924 | 849 | 41 | 41 | 8 | 16 | 23 | 1 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 60.0% | 10.3% | 90.2% | 100.6 | FUN |
| 31 | Firebirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 116 | 94 | 86 | 6 | 27 | 935 | 924 | 849 | 41 | 33 | 2 | 4 | 29 | 4 | 2 | 50.00% | 2 | 1 | 50.00% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 50.0% | 14.8% | 90.9% | 105.7 | FUN |
| _Vs Division | 38 | 16 | 17 | 0 | 2 | 2 | 1 | 0 | 131 | 129 | 2 | 40 | 0.526 | 131 | 238 | 369 | 1 | 1 | 116 | 94 | 86 | 6 | 1236 | 935 | 924 | 849 | 41 | 1230 | 370 | 311 | 936 | 154 | 34 | 22.08% | 136 | 26 | 80.88% | 0 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 48.5% | 10.6% | 89.5% | 100.1 | FUN | |
| _Vs Conference | 66 | 29 | 27 | 0 | 2 | 4 | 2 | 2 | 238 | 230 | 8 | 72 | 0.545 | 238 | 428 | 666 | 1 | 3 | 116 | 94 | 86 | 6 | 2204 | 935 | 924 | 849 | 41 | 2204 | 651 | 560 | 1648 | 262 | 57 | 21.76% | 246 | 52 | 78.86% | 1 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 50.4% | 10.8% | 89.6% | 100.4 | FUN | |
| _Since Last GM Reset | 82 | 37 | 32 | 0 | 2 | 6 | 3 | 2 | 301 | 280 | 21 | 92 | 0.561 | 301 | 538 | 839 | 1 | 3 | 116 | 94 | 86 | 6 | 2728 | 935 | 924 | 849 | 41 | 2759 | 810 | 702 | 2054 | 333 | 74 | 22.22% | 311 | 65 | 79.10% | 2 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 51.4% | 11.0% | 89.9% | 100.9 | FUN | |
| Total | 82 | 37 | 32 | 0 | 2 | 6 | 3 | 2 | 301 | 280 | 21 | 92 | 0.561 | 301 | 538 | 839 | 1 | 3 | 116 | 94 | 86 | 6 | 2728 | 935 | 924 | 849 | 41 | 2759 | 810 | 702 | 2054 | 333 | 74 | 22.22% | 311 | 65 | 79.10% | 2 | 1383 | 2862 | 48.32% | 1454 | 3035 | 47.91% | 698 | 1393 | 50.11% | 1922 | 1276 | 1924 | 646 | 1113 | 556 | 51.4% | 11.0% | 89.9% | 100.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2862 |
| Neutral Zone Start | 1393 |
| Defensive Zone Start | 3035 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3535 |
| Faceoffs Lost | 3755 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.4 | 9.57 |
| 2nd Period | 22.7 | 20.31 |
| 3rd Period | 33.0 | 30.68 |
| Overtime | 33.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.6 | 1.65 |
| 3rd Period | 3.6 | 2.67 |
| Overtime | 3.7 | 2.83 |
| Even Strenght Goal | 224 |
|---|---|
| PP Goal | 74 |
| PK Goal | 2 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 24 | 18 |
| Lost | 14 | 18 |
| Overtime Lost | 3 | 5 |
| PP Attempt | 333 |
|---|---|
| PP Goal | 74 |
| PK Attempt | 311 |
| PK Goal Against | 65 |
| Home | |
|---|---|
| Shots For | 33.3 |
| Shots Against | 33.6 |
| Goals For | 3.7 |
| Goals Against | 3.4 |
| Hits | 25.0 |
| Shots Blocked | 9.9 |
| Pim | 8.6 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,040,444$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Toronto | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 60669 | 39052 | |||
| Attendance PCT | 73.99% | 95.25% | 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 | 2432 - 81.07% | 98,456$ | 4,036,702$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,040,444$ | 2,923,611$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,241,591$ | 0$ | 3,218,815$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 15,672$ | 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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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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