***Bonne chance pour le reste de saison***
Last update: 2024-04-18 05:45:30
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cole Schneider | 25 | C/LW | 100.00 | 54 | 58 | 67 | 62 | 65 | 68 | 65 | 62 | 55 | 59 | 63 | 62 | 56 | 74 | 64 | 0 | 50 | 65 | 33 | 750,000$/1yrs | |||
Marian Studenic | 43 | LW/RW | 100.00 | 60 | 52 | 74 | 63 | 62 | 66 | 64 | 60 | 54 | 61 | 61 | 66 | 54 | 59 | 57 | 0 | 50 | 65 | 25 | 750,000$/2yrs | |||
Laurent Dauphin | 26 | C | 99.00 | 60 | 56 | 73 | 64 | 66 | 64 | 62 | 59 | 63 | 64 | 60 | 63 | 54 | 61 | 59 | 0 | 50 | 65 | 29 | 750,000$/1yrs | |||
Alex Limoges | 92 | C/LW | 100.00 | 54 | 57 | 67 | 61 | 65 | 66 | 64 | 62 | 55 | 60 | 62 | 61 | 54 | 62 | 57 | 0 | 50 | 64 | 26 | 780,000$/2yrs | |||
Raphael Lavoie | 50 | RW | 99.00 | 55 | 57 | 66 | 63 | 70 | 65 | 63 | 60 | 55 | 57 | 61 | 62 | 55 | 56 | 54 | 0 | 50 | 63 | 23 | 925,000$/2yrs | |||
Garrett Pilon | 40 | RW | 99.00 | 55 | 55 | 66 | 60 | 61 | 64 | 63 | 59 | 60 | 57 | 58 | 62 | 54 | 60 | 56 | 0 | 50 | 62 | 26 | 750,000$/2yrs | |||
Jack Dugan | 70 | C/LW | 100.00 | 55 | 58 | 65 | 58 | 67 | 64 | 63 | 58 | 55 | 57 | 57 | 61 | 54 | 60 | 56 | 0 | 50 | 62 | 26 | 750,000$/1yrs | |||
Tyler Angle | 59 | C | 99.00 | 55 | 55 | 66 | 60 | 57 | 67 | 64 | 58 | 65 | 57 | 58 | 59 | 55 | 56 | 54 | 0 | 50 | 62 | 23 | 925,000$/2yrs | |||
Bokondji Imama | 16 | LW | 100.00 | 59 | 55 | 60 | 56 | 71 | 64 | 64 | 56 | 55 | 56 | 56 | 60 | 54 | 63 | 58 | 0 | 50 | 61 | 27 | 750,000$/2yrs | |||
Matej Blumel (R) | 76 | RW | 100.00 | 52 | 52 | 66 | 60 | 62 | 62 | 60 | 57 | 52 | 57 | 58 | 58 | 51 | 54 | 51 | 0 | 50 | 61 | 23 | 925,000$/1yrs | |||
Nathan Legare (R) | 34 | RW | 99.00 | 56 | 55 | 64 | 61 | 65 | 66 | 65 | 57 | 55 | 56 | 57 | 58 | 54 | 55 | 53 | 0 | 50 | 61 | 23 | 905,000$/2yrs | |||
Pierre-Olivier Joseph | 73 | D | 100.00 | 63 | 45 | 73 | 70 | 68 | 70 | 72 | 60 | 40 | 69 | 60 | 72 | 54 | 57 | 57 | 0 | 50 | 69 | 24 | 825,000$/2yrs | |||
Isaak Phillips | 41 | D | 100.00 | 59 | 59 | 68 | 63 | 67 | 66 | 63 | 58 | 40 | 61 | 57 | 65 | 54 | 55 | 53 | 0 | 50 | 64 | 22 | 925,000$/2yrs | |||
Danny Dekeyser | 65 | D | 100.00 | 57 | 50 | 72 | 59 | 63 | 62 | 62 | 56 | 40 | 59 | 55 | 67 | 54 | 74 | 64 | 0 | 50 | 63 | 34 | 750,000$/1yrs | |||
Jimmy Schuldt | 3 | D | 100.00 | 55 | 56 | 65 | 60 | 66 | 67 | 65 | 58 | 40 | 58 | 56 | 64 | 54 | 65 | 59 | 0 | 50 | 63 | 28 | 750,000$/2yrs | |||
Ole Bjorgvik-Holm | 94 | D | 100.00 | 69 | 34 | 83 | 57 | 78 | 72 | 77 | 59 | 30 | 58 | 53 | 56 | 46 | 59 | 61 | 0 | 50 | 63 | 21 | 896,667$/3yrs | |||
Aaron Ness | 42 | D | 100.00 | 55 | 55 | 66 | 58 | 59 | 66 | 64 | 57 | 40 | 57 | 56 | 63 | 54 | 74 | 64 | 0 | 50 | 62 | 33 | 775,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Adam Cracknell | 14 | C | 90.09 | 55 | 57 | 66 | 62 | 70 | 66 | 64 | 62 | 60 | 59 | 61 | 63 | 60 | 83 | 69 | 0 | 50 | 65 | 38 | 750,000$/1yrs | |||
Shawn Boudrias (R) | 78 | RW | 100.00 | 54 | 54 | 64 | 54 | 67 | 54 | 54 | 54 | 55 | 54 | 54 | 58 | 54 | 58 | 55 | 0 | 50 | 58 | 24 | 750,000$/1yrs | |||
Alex Laferriere (R) | 56 | C | 100.00 | 51 | 51 | 65 | 52 | 55 | 52 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 52 | 50 | 0 | 50 | 55 | 22 | 875,000$/2yrs | |||
Ville Koivunen (R) | 63 | C | 100.00 | 52 | 51 | 65 | 52 | 55 | 53 | 53 | 51 | 67 | 51 | 51 | 57 | 51 | 49 | 48 | 0 | 50 | 55 | 20 | 880,000$/3yrs | |||
Brett Berard (R) | 52 | C | 100.00 | 51 | 51 | 65 | 51 | 52 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 51 | 49 | 0 | 50 | 55 | 21 | 925,000$/4yrs | |||
David Goyette (R) | 88 | C | 100.00 | 51 | 51 | 65 | 51 | 55 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 48 | 48 | 0 | 50 | 55 | 20 | 950,000$/4yrs | |||
Tyler Wotherspoon | 24 | D | 88.59 | 55 | 55 | 66 | 59 | 67 | 66 | 63 | 57 | 40 | 57 | 56 | 63 | 54 | 69 | 61 | 0 | 50 | 63 | 31 | 762,500$/2yrs | |||
Brady Keeper | 25 | D | 100.00 | 55 | 54 | 62 | 55 | 62 | 59 | 58 | 55 | 44 | 55 | 54 | 58 | 54 | 61 | 57 | 0 | 50 | 59 | 27 | 762,500$/2yrs | |||
Xavier Bouchard (R) | 82 | D | 100.00 | 55 | 54 | 67 | 55 | 66 | 57 | 57 | 54 | 40 | 55 | 54 | 61 | 54 | 56 | 54 | 0 | 50 | 59 | 24 | 750,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Erik Kallgren | 31 | 98.00 | 63 | 61 | 61 | 72 | 66 | 59 | 69 | 63 | 62 | 61 | 68 | 63 | 57 | 0 | 50 | 65 | 27 | 750,000$/2yrs |
Dylan Ferguson | 60 | 100.00 | 58 | 57 | 57 | 68 | 64 | 56 | 66 | 58 | 59 | 57 | 65 | 60 | 55 | 0 | 50 | 61 | 25 | 750,000$/1yrs |
| Scratches | ||||||||||||||||||||
Maxime Lagace | 33 | 95.30 | 72 | 52 | 53 | 77 | 57 | 79 | 57 | 64 | 60 | 58 | 52 | 53 | 52 | 0 | 50 | 64 | 31 | 750,000$/1yrs |
Strauss Mann | 37 | 100.00 | 54 | 56 | 56 | 59 | 63 | 54 | 64 | 56 | 54 | 54 | 55 | 57 | 52 | 0 | 50 | 58 | 25 | 750,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Stéphane Richer | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 57 | 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 | Pierre-Olivier Joseph | Monsters (CLB) | D | 81 | 20 | 54 | 74 | 15 | 64 | 0 | 166 | 160 | 43 | 86 | 12.50% | 140 | 20.23 | 4 | 6 | 10 | 0 | 1 | 1 | 125 | 1 | 1 | 0.00% | 1 | 0 | 0.91 | 0 | 0 | 0.82 | |||
| 2 | Jimmy Schuldt | Monsters (CLB) | D | 82 | 15 | 54 | 69 | 19 | 48 | 0 | 134 | 141 | 47 | 76 | 10.64% | 127 | 20.40 | 9 | 21 | 30 | 0 | 0 | 0 | 214 | 1 | 2 | 0.00% | 0 | 0 | 0.84 | 0 | 0 | 0.80 | |||
| 3 | Laurent Dauphin | Monsters (CLB) | C | 78 | 22 | 47 | 69 | 19 | 49 | 5 | 109 | 207 | 65 | 162 | 10.63% | 9 | 17.85 | 5 | 12 | 17 | 0 | 1 | 1 | 121 | 4 | 2 | 48.68% | 0 | 2 | 0.88 | 0 | 0 | 0.82 | |||
| 4 | Adam Cracknell | Monsters (CLB) | C | 72 | 20 | 48 | 68 | 9 | 28 | 0 | 111 | 246 | 72 | 147 | 8.13% | 19 | 21.23 | 5 | 21 | 26 | 0 | 0 | 0 | 184 | 6 | 0 | 53.48% | 1 | 0 | 0.94 | 0 | 1 | 0.95 | |||
| 5 | Raphael Lavoie | Monsters (CLB) | RW | 81 | 33 | 34 | 67 | 3 | 34 | 0 | 147 | 268 | 62 | 183 | 12.31% | 18 | 20.62 | 12 | 11 | 23 | 2 | 0 | 2 | 162 | 4 | 1 | 44.39% | 1 | 1 | 0.83 | 0 | 1 | 0.85 | |||
| 6 | Marian Studenic | Monsters (CLB) | LW/RW | 75 | 38 | 28 | 66 | 38 | 36 | 0 | 93 | 233 | 45 | 161 | 16.31% | 17 | 15.47 | 0 | 4 | 4 | 0 | 1 | 1 | 69 | 6 | 4 | 45.35% | 0 | 2 | 0.88 | 0 | 0 | 1.02 | |||
| 7 | Cole Schneider | Monsters (CLB) | C/LW | 72 | 20 | 39 | 59 | -6 | 32 | 10 | 91 | 213 | 63 | 150 | 9.39% | 18 | 17.33 | 5 | 12 | 17 | 1 | 0 | 1 | 96 | 2 | 2 | 47.45% | 1 | 0 | 0.82 | 1 | 1 | 0.73 | |||
| 8 | Isaak Phillips | Monsters (CLB) | D | 82 | 11 | 40 | 51 | 4 | 99 | 15 | 156 | 145 | 47 | 83 | 7.59% | 97 | 21.74 | 9 | 7 | 16 | 0 | 0 | 0 | 226 | 0 | 0 | 0.00% | 0 | 0 | 0.62 | 0 | 0 | 0.47 | |||
| 9 | Garrett Pilon | Monsters (CLB) | RW | 79 | 18 | 31 | 49 | -13 | 26 | 0 | 82 | 195 | 49 | 108 | 9.23% | 6 | 14.81 | 5 | 5 | 10 | 0 | 0 | 0 | 2 | 4 | 0 | 48.64% | 0 | 0 | 0.62 | 0 | 0 | 0.54 | |||
| 10 | Danny Dekeyser | Monsters (CLB) | D | 82 | 13 | 28 | 41 | -10 | 62 | 0 | 110 | 121 | 32 | 77 | 10.74% | 106 | 19.06 | 6 | 10 | 16 | 0 | 2 | 2 | 177 | 1 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.38 | |||
| 11 | Ole Bjorgvik-Holm | Monsters (CLB) | D | 82 | 9 | 32 | 41 | 9 | 58 | 0 | 187 | 94 | 22 | 66 | 9.57% | 100 | 22.73 | 3 | 11 | 14 | 0 | 0 | 0 | 229 | 1 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.46 | |||
| 12 | Alex Limoges | Monsters (CLB) | C/LW | 71 | 12 | 23 | 35 | -2 | 16 | 0 | 57 | 162 | 46 | 99 | 7.41% | 9 | 13.52 | 4 | 8 | 12 | 0 | 0 | 0 | 81 | 1 | 1 | 48.45% | 1 | 0 | 0.49 | 1 | 1 | 0.50 | |||
| 13 | Tyler Angle | Monsters (CLB) | C | 79 | 16 | 19 | 35 | -8 | 20 | 0 | 97 | 150 | 33 | 109 | 10.67% | 8 | 14.73 | 2 | 8 | 10 | 0 | 1 | 1 | 96 | 3 | 1 | 47.76% | 0 | 0 | 0.44 | 0 | 0 | 0.42 | |||
| 14 | Matej Blumel | Monsters (CLB) | RW | 64 | 10 | 23 | 33 | 27 | 10 | 0 | 41 | 80 | 19 | 61 | 12.50% | 5 | 10.41 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 40.91% | 0 | 0 | 0.52 | 0 | 0 | 0.60 | |||
| 15 | Tyler Wotherspoon | Monsters (CLB) | D | 77 | 7 | 20 | 27 | 16 | 56 | 0 | 133 | 63 | 25 | 32 | 11.11% | 68 | 14.32 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 1 | 1 | 0.00% | 0 | 0 | 0.35 | 0 | 0 | 0.33 | |||
| 16 | Jack Dugan | Monsters (CLB) | C/LW | 82 | 7 | 14 | 21 | -7 | 38 | 10 | 89 | 103 | 43 | 80 | 6.80% | 14 | 10.80 | 1 | 1 | 2 | 0 | 0 | 0 | 55 | 2 | 1 | 50.00% | 0 | 0 | 0.26 | 0 | 0 | 0.21 | |||
| 17 | Nathan Legare | Monsters (CLB) | RW | 51 | 5 | 10 | 15 | -10 | 14 | 0 | 50 | 79 | 22 | 52 | 6.33% | 7 | 13.16 | 2 | 1 | 3 | 0 | 0 | 0 | 47 | 0 | 2 | 41.61% | 0 | 0 | 0.29 | 0 | 0 | 0.24 | |||
| 18 | Bokondji Imama | Monsters (CLB) | LW | 46 | 6 | 4 | 10 | 9 | 6 | 0 | 38 | 31 | 9 | 19 | 19.35% | 3 | 5.60 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 0 | 46.03% | 0 | 0 | 0.22 | 0 | 0 | 0.27 | |||
| 19 | Aaron Ness | Monsters (CLB) | D | 50 | 1 | 5 | 6 | 2 | 2 | 0 | 12 | 7 | 2 | 13 | 14.29% | 7 | 3.66 | 0 | 1 | 1 | 0 | 0 | 0 | 58 | 0 | 0 | 50.00% | 0 | 0 | 0.12 | 0 | 0 | 0.11 | |||
| 20 | Alex Laferriere | Monsters (CLB) | C | 2 | 2 | 1 | 3 | 2 | 0 | 0 | 2 | 5 | 0 | 1 | 40.00% | 0 | 18.64 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 53.49% | 0 | 0 | 1.50 | 0 | 0 | 1.62 | |||
| 21 | Brett Berard | Monsters (CLB) | C | 6 | 2 | 0 | 2 | 0 | 0 | 0 | 1 | 2 | 2 | 2 | 100.00% | 0 | 4.81 | 1 | 0 | 1 | 1 | 0 | 1 | 4 | 0 | 0 | 33.33% | 0 | 0 | 0.33 | 0 | 0 | 0.28 | |||
| 22 | Brady Keeper | Monsters (CLB) | D | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 5 | 3 | 0 | 1 | 33.33% | 5 | 16.75 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.43 | |||
| 23 | Shawn Boudrias | Monsters (CLB) | RW | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 24 | David Goyette | Monsters (CLB) | C | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 2 | 3 | 0 | 2 | 0.00% | 0 | 17.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31.25% | 0 | 0 | 0.00 | 0 | 0 | -0.42 | |||
| Team Total or Average | 1409 | 288 | 554 | 842 | 114 | 698 | 40 | 1913 | 2711 | 749 | 1770 | 10.62% | 783 | 16.15 | 74 | 141 | 215 | 2437 | 4 | 6 | 10 | 2007 | 40 | 19 | 48.56% | 6402 | 0 | 0 | 5 | 5 | 0.74 | 2 | 4 |
| 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 | Erik Kallgren | Monsters (CLB) | 57 | 29 | 20 | 3 | 0.897 | 3.45 | 3100 | 8 | 1 | 178 | 1723 | 0 | 3 | 0 | 1.000 | 3 | 53 | 27 | 4 | 0 | 2 |
| 2 | Maxime Lagace | Monsters (CLB) | 36 | 18 | 11 | 1 | 0.896 | 3.24 | 1836 | 0 | 1 | 99 | 955 | 0 | 2 | 0 | 1.000 | 3 | 29 | 52 | 1 | 1 | 3 |
| Team Total or Average | 93 | 47 | 31 | 4 | 0.897 | 3.37 | 4936 | 8 | 2 | 277 | 2678 | 0 | 5 | 0 | 1.000 | 6 | 82 | 79 | 5 | 1 | 5 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ness ![]() | D | 33 | 775,000$ | 775,000$ | UFA | ||||||
Adam Cracknell ![]() | C | 38 | 750,000$ | 750,000$ | UFA | ||||||
Alex Laferriere | C | 22 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Alex Limoges ![]() | C/LW | 26 | 780,000$ | 780,000$ | 775,000$ | UFA | |||||
Bokondji Imama ![]() | LW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Brady Keeper ![]() | D | 27 | 762,500$ | 762,500$ | 775,000$ | UFA | |||||
Brett Berard | C | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 925,000$ | UFA | |||
Cole Schneider ![]() | C/LW | 33 | 750,000$ | 750,000$ | UFA | ||||||
Danny Dekeyser ![]() | D | 34 | 750,000$ | 750,000$ | UFA | ||||||
David Goyette | C | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | |||
Dylan Ferguson ![]() | G | 25 | 750,000$ | 750,000$ | UFA | ||||||
Erik Kallgren ![]() | G | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Garrett Pilon ![]() | RW | 26 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Isaak Phillips | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jack Dugan ![]() | C/LW | 26 | 750,000$ | 750,000$ | UFA | ||||||
Jimmy Schuldt ![]() | D | 28 | 750,000$ | 775,000$ | 775,000$ | UFA | |||||
Laurent Dauphin ![]() | C | 29 | 750,000$ | 750,000$ | UFA | ||||||
Marian Studenic ![]() | LW/RW | 25 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Matej Blumel | RW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Maxime Lagace ![]() | G | 31 | 750,000$ | 750,000$ | UFA | ||||||
Nathan Legare | RW | 23 | 905,000$ | 905,000$ | 905,000$ | RFA | |||||
Ole Bjorgvik-Holm | D | 21 | 896,667$ | 896,667$ | 896,667$ | 896,667$ | RFA | ||||
Pierre-Olivier Joseph | D | 24 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Raphael Lavoie | RW | 23 | 925,000$ | 925,000$ | 874,125$ | UFA | |||||
Shawn Boudrias | RW | 24 | 750,000$ | 750,000$ | UFA | ||||||
Strauss Mann ![]() | G | 25 | 750,000$ | 925,000$ | UFA | ||||||
Tyler Angle | C | 23 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Tyler Wotherspoon ![]() | D | 31 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Ville Koivunen | C | 20 | 880,000$ | 880,000$ | 880,000$ | 880,000$ | RFA | ||||
Xavier Bouchard | D | 24 | 750,000$ | 750,000$ | 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 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 14 | -2 | 3 | 0.500 | 12 | 21 | 33 | 0 | 0 | 126 | 89 | 95 | 8 | 114 | 991 | 917 | 1013 | 28 | 104 | 22 | 42 | 82 | 15 | 5 | 33.33% | 15 | 4 | 73.33% | 1 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 41.2% | 10.5% | 86.5% | 97.1 | FUN |
| 2 | Marlies | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 126 | 89 | 95 | 8 | 94 | 991 | 917 | 1013 | 28 | 82 | 35 | 26 | 74 | 11 | 1 | 9.09% | 12 | 2 | 83.33% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 58.8% | 11.7% | 89.0% | 100.7 | FUN |
| 3 | Americans | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 126 | 89 | 95 | 8 | 102 | 991 | 917 | 1013 | 28 | 90 | 31 | 30 | 73 | 10 | 2 | 20.00% | 15 | 1 | 93.33% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 64.3% | 10.8% | 93.3% | 104.1 | LUCKY |
| 4 | Binghamton Senateurs | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 9 | 13 | -4 | 1 | 0.167 | 9 | 15 | 24 | 0 | 0 | 126 | 89 | 95 | 8 | 100 | 991 | 917 | 1013 | 28 | 84 | 30 | 16 | 72 | 13 | 4 | 30.77% | 8 | 2 | 75.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 31.3% | 9.0% | 84.5% | 93.5 | FUN |
| 5 | Bears | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 10 | 6 | 6 | 0.750 | 16 | 31 | 47 | 0 | 0 | 126 | 89 | 95 | 8 | 148 | 991 | 917 | 1013 | 28 | 144 | 37 | 24 | 102 | 11 | 3 | 27.27% | 12 | 2 | 83.33% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 61.9% | 10.8% | 93.1% | 103.9 | LUCKY |
| 6 | Rockets | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 12 | 0 | 3 | 0.500 | 12 | 22 | 34 | 0 | 0 | 126 | 89 | 95 | 8 | 112 | 991 | 917 | 1013 | 28 | 107 | 39 | 32 | 76 | 14 | 5 | 35.71% | 14 | 5 | 64.29% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 50.0% | 10.7% | 88.8% | 99.5 | FUN |
| 7 | Providence Bruins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 126 | 89 | 95 | 8 | 107 | 991 | 917 | 1013 | 28 | 113 | 28 | 32 | 74 | 12 | 2 | 16.67% | 15 | 3 | 80.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 36.4% | 5.6% | 91.2% | 96.8 | DULL |
| 8 | Wolves | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 19 | 29 | 0 | 0 | 126 | 89 | 95 | 8 | 120 | 991 | 917 | 1013 | 28 | 93 | 21 | 14 | 71 | 11 | 2 | 18.18% | 4 | 1 | 75.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 42.1% | 8.3% | 87.1% | 95.4 | Unlucky |
| 9 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 1 | 126 | 89 | 95 | 8 | 68 | 991 | 917 | 1013 | 28 | 81 | 28 | 25 | 43 | 8 | 3 | 37.50% | 10 | 0 | 100.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 37.5% | 8.8% | 93.8% | 102.7 | DULL |
| 10 | Phantoms | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 19 | 12 | 7 | 8 | 1.000 | 19 | 31 | 50 | 0 | 0 | 126 | 89 | 95 | 8 | 172 | 991 | 917 | 1013 | 28 | 104 | 27 | 30 | 105 | 17 | 6 | 35.29% | 14 | 3 | 78.57% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 59.1% | 11.0% | 88.5% | 99.5 | FUN |
| 11 | Wolf Pack | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 10 | 4 | 6 | 0.750 | 14 | 27 | 41 | 0 | 0 | 126 | 89 | 95 | 8 | 105 | 991 | 917 | 1013 | 28 | 140 | 51 | 57 | 89 | 16 | 4 | 25.00% | 18 | 2 | 88.89% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 55.6% | 13.3% | 92.9% | 106.2 | LUCKY |
| 12 | islanders | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 6 | 0.750 | 12 | 21 | 33 | 0 | 0 | 126 | 89 | 95 | 8 | 138 | 991 | 917 | 1013 | 28 | 113 | 30 | 34 | 100 | 19 | 5 | 26.32% | 15 | 6 | 60.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 63.6% | 8.7% | 91.2% | 99.8 | DULL |
| 13 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 0 | 0.000 | 8 | 13 | 21 | 0 | 0 | 126 | 89 | 95 | 8 | 83 | 991 | 917 | 1013 | 28 | 68 | 23 | 16 | 65 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 41.2% | 9.6% | 83.8% | 93.5 | FUN |
| 14 | Griffins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 20 | 30 | 0 | 0 | 126 | 89 | 95 | 8 | 123 | 991 | 917 | 1013 | 28 | 98 | 25 | 22 | 80 | 9 | 1 | 11.11% | 11 | 4 | 63.64% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 52.9% | 8.1% | 87.8% | 95.9 | Unlucky |
| 15 | Barracuda | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 126 | 89 | 95 | 8 | 65 | 991 | 917 | 1013 | 28 | 54 | 18 | 16 | 44 | 11 | 2 | 18.18% | 8 | 0 | 100.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 33.3% | 4.6% | 96.3% | 100.9 | DULL |
| 16 | Condors | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 1.000 | 11 | 22 | 33 | 0 | 0 | 126 | 89 | 95 | 8 | 89 | 991 | 917 | 1013 | 28 | 51 | 18 | 14 | 52 | 10 | 3 | 30.00% | 7 | 0 | 100.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 50.0% | 12.4% | 84.3% | 96.7 | FUN |
| 17 | Iowa Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 126 | 89 | 95 | 8 | 57 | 991 | 917 | 1013 | 28 | 63 | 17 | 12 | 56 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 50.0% | 15.8% | 87.3% | 103.1 | FUN |
| 18 | Reign | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 126 | 89 | 95 | 8 | 66 | 991 | 917 | 1013 | 28 | 72 | 24 | 20 | 46 | 8 | 1 | 12.50% | 10 | 3 | 70.00% | 1 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 72.7% | 13.6% | 91.7% | 105.3 | LUCKY |
| 19 | Thunderbirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 126 | 89 | 95 | 8 | 63 | 991 | 917 | 1013 | 28 | 74 | 21 | 18 | 48 | 4 | 1 | 25.00% | 8 | 2 | 75.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 55.6% | 9.5% | 91.9% | 101.4 | LUCKY |
| 20 | Wranglers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 126 | 89 | 95 | 8 | 78 | 991 | 917 | 1013 | 28 | 84 | 24 | 18 | 62 | 8 | 1 | 12.50% | 7 | 2 | 71.43% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 58.3% | 10.3% | 91.7% | 101.9 | LUCKY |
| 21 | Gulls | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 126 | 89 | 95 | 8 | 63 | 991 | 917 | 1013 | 28 | 63 | 29 | 8 | 43 | 11 | 4 | 36.36% | 4 | 1 | 75.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 66.7% | 15.9% | 93.7% | 109.5 | LUCKY |
| 22 | Texas Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 126 | 89 | 95 | 8 | 65 | 991 | 917 | 1013 | 28 | 54 | 19 | 22 | 51 | 6 | 1 | 16.67% | 10 | 3 | 70.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 62.5% | 9.2% | 88.9% | 98.1 | FUN |
| 23 | Canucks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 126 | 89 | 95 | 8 | 91 | 991 | 917 | 1013 | 28 | 66 | 22 | 12 | 54 | 13 | 5 | 38.46% | 6 | 1 | 83.33% | 1 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 50.0% | 9.9% | 92.4% | 102.3 | LUCKY |
| 24 | Comets | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 4 | 0.667 | 15 | 30 | 45 | 0 | 0 | 126 | 89 | 95 | 8 | 101 | 991 | 917 | 1013 | 28 | 89 | 23 | 18 | 81 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 50.0% | 14.9% | 85.4% | 100.2 | FUN |
| 25 | W-B/Scranton Penguins | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 16 | -1 | 4 | 0.500 | 15 | 27 | 42 | 0 | 0 | 126 | 89 | 95 | 8 | 132 | 991 | 917 | 1013 | 28 | 160 | 43 | 55 | 85 | 19 | 4 | 21.05% | 21 | 7 | 66.67% | 1 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 55.0% | 11.4% | 90.0% | 101.4 | FUN |
| 26 | Roadrunners | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 8 | 4 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 126 | 89 | 95 | 8 | 73 | 991 | 917 | 1013 | 28 | 77 | 22 | 20 | 50 | 4 | 3 | 75.00% | 10 | 2 | 80.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 60.0% | 16.4% | 89.6% | 106.0 | FUN |
| 27 | Crunch | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 17 | 11 | 6 | 5 | 0.833 | 17 | 32 | 49 | 0 | 0 | 126 | 89 | 95 | 8 | 126 | 991 | 917 | 1013 | 28 | 100 | 23 | 32 | 76 | 11 | 5 | 45.45% | 15 | 3 | 80.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 60.0% | 13.5% | 89.0% | 102.5 | FUN |
| 28 | Admirals | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 126 | 89 | 95 | 8 | 79 | 991 | 917 | 1013 | 28 | 65 | 21 | 16 | 54 | 7 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 41.2% | 8.9% | 81.5% | 90.4 | Unlucky |
| 29 | Moose | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 126 | 89 | 95 | 8 | 60 | 991 | 917 | 1013 | 28 | 74 | 21 | 24 | 59 | 5 | 2 | 40.00% | 11 | 4 | 63.64% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 77.8% | 15.0% | 91.9% | 106.9 | LUCKY |
| 30 | Silver Knights | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 126 | 89 | 95 | 8 | 86 | 991 | 917 | 1013 | 28 | 41 | 12 | 6 | 48 | 9 | 1 | 11.11% | 3 | 0 | 100.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 70.0% | 9.3% | 92.7% | 102.0 | LUCKY |
| 31 | Firebirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 0 | 0.000 | 8 | 14 | 22 | 0 | 0 | 126 | 89 | 95 | 8 | 63 | 991 | 917 | 1013 | 28 | 70 | 23 | 35 | 43 | 9 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 53.3% | 12.7% | 85.7% | 98.4 | FUN |
| _Vs Division | 26 | 16 | 8 | 0 | 1 | 0 | 1 | 0 | 101 | 83 | 18 | 36 | 0.692 | 101 | 186 | 287 | 0 | 0 | 126 | 89 | 95 | 8 | 916 | 991 | 917 | 1013 | 28 | 843 | 232 | 232 | 633 | 100 | 26 | 26.00% | 90 | 21 | 76.67% | 1 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 54.7% | 11.0% | 90.2% | 101.2 | FUN | |
| _Vs Conference | 50 | 24 | 18 | 0 | 3 | 4 | 1 | 0 | 189 | 170 | 19 | 60 | 0.600 | 189 | 348 | 537 | 0 | 0 | 126 | 89 | 95 | 8 | 1794 | 991 | 917 | 1013 | 28 | 1621 | 465 | 464 | 1240 | 195 | 51 | 26.15% | 195 | 45 | 76.92% | 2 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 52.5% | 10.5% | 89.5% | 100.0 | FUN | |
| _Since Last GM Reset | 82 | 39 | 31 | 0 | 6 | 4 | 2 | 0 | 318 | 277 | 41 | 98 | 0.598 | 318 | 585 | 903 | 0 | 2 | 126 | 89 | 95 | 8 | 2943 | 991 | 917 | 1013 | 28 | 2678 | 807 | 746 | 2058 | 322 | 81 | 25.16% | 321 | 70 | 78.19% | 4 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 53.4% | 10.8% | 89.7% | 100.5 | FUN | |
| Total | 82 | 39 | 31 | 0 | 6 | 4 | 2 | 0 | 318 | 277 | 41 | 98 | 0.598 | 318 | 585 | 903 | 0 | 2 | 126 | 89 | 95 | 8 | 2943 | 991 | 917 | 1013 | 28 | 2678 | 807 | 746 | 2058 | 322 | 81 | 25.16% | 321 | 70 | 78.19% | 4 | 1596 | 3075 | 51.90% | 1412 | 2924 | 48.29% | 709 | 1405 | 50.46% | 1942 | 1293 | 1891 | 637 | 1110 | 554 | 53.4% | 10.8% | 89.7% | 100.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 3075 |
| Neutral Zone Start | 1405 |
| Defensive Zone Start | 2924 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3717 |
| Faceoffs Lost | 3687 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.1 | 9.57 |
| 2nd Period | 23.3 | 20.31 |
| 3rd Period | 35.6 | 30.68 |
| Overtime | 36.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.5 | 0.64 |
| 2nd Period | 2.6 | 1.65 |
| 3rd Period | 3.8 | 2.67 |
| Overtime | 3.9 | 2.83 |
| Even Strenght Goal | 233 |
|---|---|
| PP Goal | 81 |
| PK Goal | 4 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 28 | 19 |
| Lost | 11 | 20 |
| Overtime Lost | 2 | 2 |
| PP Attempt | 322 |
|---|---|
| PP Goal | 81 |
| PK Attempt | 321 |
| PK Goal Against | 70 |
| Home | |
|---|---|
| Shots For | 35.9 |
| Shots Against | 32.7 |
| Goals For | 3.9 |
| Goals Against | 3.4 |
| Hits | 25.1 |
| Shots Blocked | 9.8 |
| Pim | 9.1 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,448,667$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Cleveland | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 27$ | 16$ | $ | $ | $ |
| Attendance | 79691 | 39582 | |||
| Attendance PCT | 97.18% | 96.54% | 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 | 2909 - 96.97% | 101,210$ | 4,149,606$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,448,667$ | 2,428,667$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,515,905$ | 0$ | 2,505,800$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 12,956$ | 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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