*** Vos line up début saison Samedi 4 octobre 16h00 ***
Last update: 2026-03-28 18:48:08
Colorado Avalanche is looking for a new General Manager
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Logan Shaw | 0 | C | 100.00 | 56 | 60 | 68 | 63 | 75 | 69 | 66 | 66 | 55 | 66 | 64 | 63 | 64 | 77 | 66 | 0 | 50 | 68 | 33 | 775,000$/1yrs | |||
Jacob Gaucher | 0 | C | 100.00 | 57 | 60 | 69 | 69 | 73 | 69 | 67 | 63 | 55 | 62 | 64 | 64 | 55 | 62 | 57 | 0 | 50 | 67 | 25 | 872,500$/2yrs | |||
Alex Limoges | 92 | C/LW | 100.00 | 54 | 57 | 70 | 60 | 69 | 66 | 64 | 64 | 55 | 62 | 64 | 63 | 55 | 68 | 61 | 0 | 50 | 66 | 28 | 775,000$/1yrs | |||
Garrett Pilon | 40 | C | 100.00 | 55 | 57 | 67 | 61 | 65 | 69 | 66 | 65 | 66 | 65 | 61 | 64 | 54 | 66 | 60 | 0 | 50 | 66 | 27 | 775,000$/2yrs | |||
Justin Kirkland | 7 | C | 100.00 | 63 | 65 | 83 | 64 | 71 | 54 | 59 | 62 | 64 | 68 | 62 | 67 | 79 | 61 | 61 | 0 | 50 | 66 | 29 | 775,000$/2yrs | |||
Nathan Legare | 34 | LW/RW | 100.00 | 58 | 58 | 66 | 67 | 72 | 69 | 68 | 60 | 56 | 60 | 61 | 63 | 55 | 62 | 57 | 0 | 50 | 65 | 25 | 775,000$/2yrs | |||
Laurent Dauphin | 26 | C | 100.00 | 52 | 58 | 63 | 61 | 62 | 65 | 63 | 63 | 51 | 61 | 62 | 62 | 51 | 69 | 60 | 0 | 50 | 64 | 31 | 775,000$/1yrs | |||
Denis Gurianov | 0 | RW | 100.00 | 63 | 38 | 92 | 74 | 73 | 62 | 65 | 51 | 48 | 53 | 55 | 64 | 55 | 62 | 58 | 0 | 50 | 63 | 28 | 775,000$/1yrs | |||
Bokondji Imama | 16 | LW/RW | 100.00 | 61 | 65 | 71 | 62 | 73 | 64 | 62 | 56 | 55 | 57 | 57 | 63 | 55 | 67 | 62 | 0 | 50 | 63 | 29 | 775,000$/2yrs | |||
David Goyette (R) | 0 | C/LW | 100.00 | 56 | 55 | 69 | 57 | 62 | 62 | 61 | 57 | 55 | 57 | 55 | 62 | 54 | 54 | 53 | 0 | 50 | 60 | 22 | 918,333$/3yrs | |||
Tucker Robertson | 0 | C/LW/RW | 100.00 | 54 | 55 | 69 | 57 | 64 | 62 | 61 | 56 | 55 | 56 | 56 | 62 | 54 | 56 | 54 | 0 | 50 | 60 | 22 | 950,000$/2yrs | |||
Tim Washe | 0 | C | 100.00 | 54 | 38 | 73 | 64 | 77 | 62 | 53 | 51 | 48 | 56 | 50 | 62 | 51 | 51 | 55 | 0 | 50 | 60 | 24 | 812,500$/2yrs | |||
Chad Ruhwedel | 2 | D | 100.00 | 63 | 51 | 76 | 60 | 71 | 67 | 69 | 62 | 41 | 64 | 61 | 77 | 55 | 77 | 67 | 0 | 50 | 69 | 35 | 775,000$/1yrs | |||
Jimmy Schuldt | 3 | D | 100.00 | 57 | 56 | 69 | 62 | 73 | 70 | 66 | 63 | 41 | 64 | 61 | 69 | 55 | 71 | 63 | 0 | 50 | 67 | 30 | 800,000$/1yrs | |||
Isaak Phillips | 41 | D | 100.00 | 61 | 54 | 70 | 63 | 79 | 70 | 66 | 61 | 41 | 63 | 61 | 68 | 55 | 61 | 58 | 0 | 50 | 67 | 24 | 775,000$/3yrs | |||
Nikolas Matinpalo | 0 | D | 100.00 | 57 | 49 | 77 | 64 | 78 | 62 | 64 | 62 | 41 | 64 | 62 | 70 | 55 | 64 | 61 | 0 | 50 | 67 | 27 | 775,000$/3yrs | |||
Matt Benning | 0 | D | 100.00 | 60 | 49 | 67 | 62 | 76 | 70 | 64 | 58 | 41 | 61 | 57 | 71 | 55 | 73 | 64 | 0 | 50 | 66 | 31 | 1,250,000$/2yrs | |||
Ole Bjorgvik-Holm | 94 | D | 100.00 | 70 | 34 | 83 | 59 | 80 | 72 | 77 | 59 | 30 | 57 | 54 | 56 | 46 | 61 | 63 | 0 | 50 | 64 | 23 | 896,667$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jaxon Nelson | 0 | C/RW | 100.00 | 54 | 54 | 70 | 56 | 70 | 59 | 59 | 54 | 55 | 55 | 54 | 60 | 54 | 61 | 57 | 0 | 50 | 59 | 25 | 950,000$/1yrs | |||
Ryan Hofer | 0 | RW | 100.00 | 55 | 54 | 70 | 55 | 71 | 57 | 57 | 55 | 55 | 54 | 54 | 60 | 54 | 56 | 54 | 0 | 50 | 59 | 23 | 851,667$/2yrs | |||
Pavel Novak | 0 | RW | 100.00 | 54 | 54 | 59 | 54 | 56 | 55 | 55 | 54 | 54 | 54 | 54 | 56 | 54 | 54 | 54 | 0 | 50 | 57 | 23 | 846,667$/1yrs | |||
Owen Lindmark (R) | 0 | C | 100.00 | 51 | 51 | 67 | 51 | 63 | 54 | 53 | 51 | 67 | 51 | 51 | 57 | 51 | 56 | 52 | 0 | 50 | 56 | 24 | 775,000$/1yrs | |||
Xavier Bernard | 0 | D | 100.00 | 55 | 54 | 69 | 55 | 76 | 58 | 58 | 55 | 40 | 55 | 54 | 61 | 54 | 61 | 57 | 0 | 50 | 60 | 26 | 750,000$/1yrs | |||
Charles-Alexis Legault (R) | 0 | D | 100.00 | 52 | 52 | 62 | 56 | 69 | 65 | 63 | 54 | 38 | 54 | 52 | 63 | 51 | 53 | 50 | 0 | 50 | 60 | 22 | 950,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Malcolm Subban | 0 | 100.00 | 64 | 67 | 68 | 62 | 67 | 57 | 68 | 66 | 61 | 67 | 61 | 77 | 65 | 0 | 50 | 68 | 32 | 775,000$/1yrs |
Ales Stezka | 0 | 100.00 | 65 | 67 | 67 | 69 | 67 | 56 | 65 | 66 | 60 | 66 | 66 | 70 | 61 | 0 | 50 | 67 | 29 | 775,000$/1yrs |
| Scratches | ||||||||||||||||||||
Jack Campbell | 0 | 100.00 | 62 | 63 | 64 | 66 | 66 | 59 | 68 | 64 | 63 | 65 | 61 | 78 | 65 | 0 | 50 | 67 | 34 | 775,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Stéphane Richer | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 59 | 5 | 0$ |
| 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 | Logan Shaw | Monsters (CLB) | C | 82 | 30 | 44 | 74 | 4 | 32 | 0 | 105 | 249 | 70 | 173 | 12.05% | 21 | 19.57 | 4 | 10 | 14 | 0 | 2 | 2 | 226 | 6 | 1 | 51.77% | 0 | 0 | 0.90 | 0 | 2 | 0.88 | |||
| 2 | Chad Ruhwedel | Monsters (CLB) | D | 80 | 23 | 45 | 68 | 1 | 88 | 0 | 194 | 190 | 41 | 97 | 12.11% | 151 | 23.31 | 12 | 8 | 20 | 0 | 1 | 1 | 221 | 2 | 1 | 0.00% | 0 | 0 | 0.85 | 0 | 0 | 0.73 | |||
| 3 | Nikolas Matinpalo | Monsters (CLB) | D | 82 | 15 | 51 | 66 | 7 | 40 | 0 | 91 | 112 | 47 | 101 | 13.39% | 132 | 20.23 | 5 | 14 | 19 | 1 | 0 | 1 | 183 | 2 | 3 | 0.00% | 0 | 0 | 0.80 | 0 | 0 | 0.71 | |||
| 4 | Jacob Gaucher | Monsters (CLB) | C | 82 | 29 | 36 | 65 | 2 | 46 | 0 | 119 | 255 | 68 | 174 | 11.37% | 14 | 17.24 | 6 | 8 | 14 | 0 | 0 | 0 | 29 | 1 | 2 | 47.20% | 0 | 0 | 0.79 | 0 | 1 | 0.74 | |||
| 5 | Nathan Legare | Monsters (CLB) | LW/RW | 82 | 11 | 40 | 51 | 3 | 18 | 0 | 154 | 204 | 55 | 153 | 5.39% | 14 | 17.78 | 2 | 14 | 16 | 0 | 0 | 0 | 106 | 1 | 0 | 47.39% | 1 | 0 | 0.62 | 0 | 1 | 0.66 | |||
| 6 | Jimmy Schuldt | Monsters (CLB) | D | 70 | 10 | 36 | 46 | -10 | 50 | 0 | 120 | 116 | 31 | 73 | 8.62% | 113 | 20.68 | 8 | 10 | 18 | 0 | 0 | 0 | 155 | 2 | 0 | 0.00% | 0 | 0 | 0.66 | 0 | 0 | 0.52 | |||
| 7 | Alex Limoges | Monsters (CLB) | C/LW | 82 | 27 | 17 | 44 | 13 | 22 | 0 | 72 | 195 | 44 | 122 | 13.85% | 15 | 13.87 | 0 | 0 | 0 | 2 | 0 | 2 | 109 | 4 | 1 | 44.54% | 0 | 0 | 0.54 | 0 | 1 | 0.62 | |||
| 8 | Isaak Phillips | Monsters (CLB) | D | 79 | 10 | 33 | 43 | 10 | 74 | 0 | 125 | 96 | 34 | 62 | 10.42% | 113 | 20.17 | 5 | 7 | 12 | 0 | 2 | 2 | 232 | 0 | 0 | 0.00% | 0 | 0 | 0.54 | 0 | 0 | 0.45 | |||
| 9 | Justin Kirkland | Monsters (CLB) | C | 82 | 17 | 26 | 43 | 6 | 29 | 5 | 84 | 157 | 47 | 98 | 10.83% | 12 | 11.86 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 2 | 0 | 53.98% | 0 | 0 | 0.52 | 0 | 1 | 0.52 | |||
| 10 | Laurent Dauphin | Monsters (CLB) | C | 82 | 15 | 27 | 42 | -5 | 35 | 5 | 86 | 180 | 67 | 123 | 8.33% | 10 | 15.83 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 3 | 0 | 44.89% | 0 | 0 | 0.51 | 0 | 1 | 0.43 | |||
| 11 | Garrett Pilon | Monsters (CLB) | C | 82 | 20 | 20 | 40 | 10 | 22 | 0 | 69 | 151 | 45 | 86 | 13.25% | 22 | 12.27 | 7 | 7 | 14 | 1 | 1 | 2 | 261 | 3 | 0 | 54.07% | 0 | 0 | 0.49 | 0 | 2 | 0.53 | |||
| 12 | Matt Benning | Monsters (CLB) | D | 65 | 8 | 26 | 34 | -4 | 74 | 0 | 123 | 87 | 21 | 49 | 9.20% | 101 | 19.44 | 1 | 3 | 4 | 1 | 1 | 2 | 119 | 1 | 0 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.36 | |||
| 13 | Bokondji Imama | Monsters (CLB) | LW/RW | 76 | 10 | 15 | 25 | 8 | 32 | 10 | 79 | 77 | 23 | 53 | 12.99% | 7 | 8.58 | 1 | 1 | 2 | 0 | 0 | 0 | 9 | 3 | 0 | 42.65% | 0 | 0 | 0.33 | 0 | 0 | 0.31 | |||
| 14 | Ole Bjorgvik-Holm | Monsters (CLB) | D | 78 | 4 | 21 | 25 | 7 | 56 | 0 | 144 | 55 | 22 | 29 | 7.27% | 71 | 18.11 | 1 | 3 | 4 | 0 | 2 | 2 | 163 | 1 | 0 | 0.00% | 0 | 0 | 0.32 | 0 | 0 | 0.27 | |||
| 15 | Denis Gurianov | Monsters (CLB) | RW | 78 | 6 | 8 | 14 | -7 | 8 | 0 | 31 | 98 | 21 | 70 | 6.12% | 3 | 7.19 | 1 | 3 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 39.47% | 0 | 0 | 0.18 | 0 | 1 | 0.19 | |||
| 16 | David Goyette | Monsters (CLB) | C/LW | 30 | 5 | 4 | 9 | -8 | 6 | 0 | 39 | 27 | 8 | 31 | 18.52% | 4 | 14.13 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 70.37% | 0 | 0 | 0.30 | 0 | 0 | 0.21 | |||
| 17 | Tucker Robertson | Monsters (CLB) | C/LW/RW | 32 | 4 | 2 | 6 | 2 | 6 | 0 | 17 | 22 | 7 | 9 | 18.18% | 6 | 7.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 50.75% | 0 | 0 | 0.19 | 0 | 0 | 0.19 | |||
| 18 | Xavier Bernard | Monsters (CLB) | D | 21 | 0 | 6 | 6 | 5 | 14 | 0 | 21 | 14 | 4 | 6 | 0.00% | 29 | 16.51 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.30 | |||
| 19 | Charles-Alexis Legault | Monsters (CLB) | D | 17 | 1 | 3 | 4 | 0 | 6 | 0 | 25 | 8 | 3 | 8 | 12.50% | 16 | 15.99 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.21 | |||
| 20 | Jaxon Nelson | Monsters (CLB) | C/RW | 29 | 0 | 2 | 2 | -1 | 2 | 0 | 6 | 7 | 2 | 10 | 0.00% | 1 | 5.73 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 46.47% | 0 | 0 | 0.07 | 0 | 0 | 0.03 | |||
| 21 | Tim Washe | Monsters (CLB) | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 1313 | 245 | 462 | 707 | 43 | 660 | 20 | 1704 | 2300 | 660 | 1527 | 10.65% | 855 | 15.83 | 55 | 93 | 148 | 2044 | 5 | 9 | 14 | 1871 | 32 | 11 | 47.48% | 5219 | 0 | 0 | 1 | 0 | 0.68 | 0 | 10 |
| 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 | Malcolm Subban | Monsters (CLB) | 43 | 21 | 11 | 4 | 0.904 | 3.31 | 2247 | 2 | 1 | 124 | 1291 | 0 | 2 | 0 | 0.875 | 8 | 32 | 49 | 3 | 0 | 2 |
| 2 | Ales Stezka | Monsters (CLB) | 52 | 18 | 21 | 7 | 0.882 | 4.16 | 2714 | 6 | 0 | 188 | 1593 | 0 | 0 | 0 | 0.500 | 4 | 50 | 32 | 2 | 0 | 1 |
| Team Total or Average | 95 | 39 | 32 | 11 | 0.892 | 3.77 | 4962 | 8 | 1 | 312 | 2884 | 0 | 2 | 0 | 0.750 | 12 | 82 | 81 | 5 | 0 | 3 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Ales Stezka ![]() | G | 29 | 775,000$ | 775,000$ | UFA | ||||||
Alex Limoges ![]() | C/LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Bokondji Imama ![]() | LW/RW | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Chad Ruhwedel ![]() | D | 35 | 775,000$ | 775,000$ | UFA | ||||||
Charles-Alexis Legault | D | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
David Goyette | C/LW | 22 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Denis Gurianov ![]() | RW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Garrett Pilon ![]() | C | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Isaak Phillips | D | 24 | 775,000$ | 775,000$ | 812,500$ | 812,500$ | UFA | ||||
Jack Campbell ![]() | G | 34 | 775,000$ | 775,000$ | UFA | ||||||
Jacob Gaucher ![]() | C | 25 | 872,500$ | 872,500$ | 872,500$ | RFA | |||||
Jaxon Nelson ![]() | C/RW | 25 | 950,000$ | 950,000$ | RFA | ||||||
Jimmy Schuldt ![]() | D | 30 | 800,000$ | 800,000$ | UFA | ||||||
Justin Kirkland ![]() | C | 29 | 775,000$ | 775,000$ | 900,000$ | UFA | |||||
Laurent Dauphin ![]() | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Logan Shaw ![]() | C | 33 | 775,000$ | 775,000$ | UFA | ||||||
Malcolm Subban ![]() | G | 32 | 775,000$ | 775,000$ | UFA | ||||||
Matt Benning ![]() | D | 31 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Nathan Legare ![]() | LW/RW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Nikolas Matinpalo ![]() | D | 27 | 775,000$ | 775,000$ | 875,000$ | 875,000$ | UFA | ||||
Ole Bjorgvik-Holm | D | 23 | 896,667$ | 896,667$ | RFA | ||||||
Owen Lindmark | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Pavel Novak | RW | 23 | 846,667$ | 846,667$ | RFA | ||||||
Ryan Hofer | RW | 23 | 851,667$ | 851,667$ | 851,667$ | RFA | |||||
Tim Washe | C | 24 | 812,500$ | 812,500$ | 812,500$ | RFA | |||||
Tucker Robertson | C/LW/RW | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Xavier Bernard ![]() | D | 26 | 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 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 4 | 10 | 4 | 1.000 | 14 | 27 | 41 | 0 | 0 | 107 | 99 | 90 | 13 | 74 | 917 | 955 | 921 | 62 | 57 | 22 | 21 | 47 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 86.7% | 18.9% | 93.0% | 111.9 | LUCKY |
| 2 | Marlies | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 0.333 | 10 | 17 | 27 | 0 | 1 | 107 | 99 | 90 | 13 | 96 | 917 | 955 | 921 | 62 | 102 | 39 | 22 | 76 | 10 | 1 | 10.00% | 11 | 0 | 100.00% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 52.9% | 10.4% | 92.2% | 102.6 | LUCKY |
| 3 | Americans | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 0.667 | 12 | 20 | 32 | 0 | 0 | 107 | 99 | 90 | 13 | 128 | 917 | 955 | 921 | 62 | 87 | 33 | 26 | 76 | 13 | 4 | 30.77% | 12 | 4 | 66.67% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 66.7% | 9.4% | 90.8% | 100.2 | FUN |
| 4 | Binghamton Senateurs | 3 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 10 | 9 | 1 | 5 | 0.833 | 10 | 18 | 28 | 0 | 0 | 107 | 99 | 90 | 13 | 140 | 917 | 955 | 921 | 62 | 87 | 27 | 18 | 78 | 17 | 2 | 11.76% | 9 | 2 | 77.78% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 53.3% | 7.1% | 89.7% | 96.8 | Unlucky |
| 5 | Bears | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 17 | 16 | 1 | 6 | 0.600 | 17 | 25 | 42 | 0 | 0 | 107 | 99 | 90 | 13 | 167 | 917 | 955 | 921 | 62 | 169 | 48 | 50 | 133 | 14 | 2 | 14.29% | 24 | 6 | 75.00% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 60.0% | 10.2% | 90.5% | 100.7 | FUN |
| 6 | Rockets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 107 | 99 | 90 | 13 | 59 | 917 | 955 | 921 | 62 | 69 | 19 | 8 | 39 | 10 | 1 | 10.00% | 4 | 0 | 100.00% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 40.0% | 11.9% | 87.0% | 98.8 | FUN |
| 7 | Providence Bruins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 9 | -2 | 1 | 0.250 | 7 | 13 | 20 | 0 | 0 | 107 | 99 | 90 | 13 | 70 | 917 | 955 | 921 | 62 | 60 | 15 | 14 | 42 | 9 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 50.0% | 10.0% | 85.0% | 95.0 | FUN |
| 8 | Wolves | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 13 | 14 | -1 | 4 | 0.500 | 13 | 23 | 36 | 0 | 0 | 107 | 99 | 90 | 13 | 131 | 917 | 955 | 921 | 62 | 157 | 42 | 38 | 88 | 12 | 3 | 25.00% | 19 | 4 | 78.95% | 1 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 50.0% | 9.9% | 91.1% | 101.0 | Unlucky |
| 9 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 107 | 99 | 90 | 13 | 67 | 917 | 955 | 921 | 62 | 80 | 24 | 18 | 60 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 55.6% | 9.0% | 93.8% | 102.7 | LUCKY |
| 10 | Phantoms | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 15 | 16 | -1 | 5 | 0.625 | 15 | 26 | 41 | 0 | 0 | 107 | 99 | 90 | 13 | 160 | 917 | 955 | 921 | 62 | 133 | 42 | 32 | 109 | 15 | 5 | 33.33% | 15 | 3 | 80.00% | 2 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 43.5% | 9.4% | 88.0% | 97.3 | FUN |
| 11 | Wolf Pack | 4 | 1 | 1 | 0 | 0 | 2 | 0 | 0 | 18 | 17 | 1 | 4 | 0.500 | 18 | 35 | 53 | 0 | 0 | 107 | 99 | 90 | 13 | 150 | 917 | 955 | 921 | 62 | 126 | 30 | 41 | 100 | 24 | 6 | 25.00% | 13 | 5 | 61.54% | 1 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 50.0% | 12.0% | 86.5% | 98.5 | FUN |
| 12 | islanders | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 17 | -4 | 4 | 0.500 | 13 | 23 | 36 | 0 | 0 | 107 | 99 | 90 | 13 | 147 | 917 | 955 | 921 | 62 | 140 | 44 | 46 | 86 | 11 | 0 | 0.00% | 17 | 5 | 70.59% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 52.0% | 8.8% | 87.9% | 96.7 | Unlucky |
| 13 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 107 | 99 | 90 | 13 | 66 | 917 | 955 | 921 | 62 | 81 | 22 | 18 | 62 | 9 | 1 | 11.11% | 7 | 4 | 42.86% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 36.4% | 7.6% | 86.4% | 94.0 | Unlucky |
| 14 | Griffins | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 107 | 99 | 90 | 13 | 42 | 917 | 955 | 921 | 62 | 71 | 19 | 24 | 50 | 6 | 2 | 33.33% | 11 | 1 | 90.91% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 44.4% | 14.3% | 91.5% | 105.8 | LUCKY |
| 15 | Barracuda | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 107 | 99 | 90 | 13 | 53 | 917 | 955 | 921 | 62 | 66 | 26 | 16 | 48 | 5 | 3 | 60.00% | 7 | 3 | 57.14% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 33.3% | 9.4% | 89.4% | 98.8 | FUN |
| 16 | Condors | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 107 | 99 | 90 | 13 | 67 | 917 | 955 | 921 | 62 | 83 | 25 | 14 | 57 | 9 | 2 | 22.22% | 7 | 3 | 57.14% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 37.5% | 11.9% | 84.3% | 96.3 | FUN |
| 17 | Iowa Wild | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 12 | -1 | 2 | 0.333 | 11 | 20 | 31 | 0 | 0 | 107 | 99 | 90 | 13 | 94 | 917 | 955 | 921 | 62 | 112 | 40 | 34 | 68 | 9 | 2 | 22.22% | 15 | 3 | 80.00% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 50.0% | 11.7% | 89.3% | 101.0 | FUN |
| 18 | Reign | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 107 | 99 | 90 | 13 | 59 | 917 | 955 | 921 | 62 | 79 | 17 | 24 | 43 | 5 | 2 | 40.00% | 12 | 2 | 83.33% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 60.0% | 13.6% | 92.4% | 106.0 | LUCKY |
| 19 | Thunderbirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 107 | 99 | 90 | 13 | 66 | 917 | 955 | 921 | 62 | 53 | 22 | 16 | 56 | 10 | 1 | 10.00% | 8 | 5 | 37.50% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 20.0% | 3.0% | 83.0% | 86.0 | Unlucky |
| 20 | Wranglers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 107 | 99 | 90 | 13 | 61 | 917 | 955 | 921 | 62 | 83 | 31 | 16 | 39 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 45.5% | 9.8% | 91.6% | 101.4 | LUCKY |
| 21 | Gulls | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 9 | 15 | 0 | 0 | 107 | 99 | 90 | 13 | 60 | 917 | 955 | 921 | 62 | 66 | 15 | 20 | 46 | 5 | 2 | 40.00% | 8 | 2 | 75.00% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 36.4% | 10.0% | 86.4% | 96.4 | FUN |
| 22 | Texas Stars | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 107 | 99 | 90 | 13 | 77 | 917 | 955 | 921 | 62 | 72 | 21 | 16 | 51 | 9 | 4 | 44.44% | 8 | 3 | 62.50% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 50.0% | 10.4% | 90.3% | 100.7 | FUN |
| 23 | Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 107 | 99 | 90 | 13 | 64 | 917 | 955 | 921 | 62 | 90 | 23 | 20 | 40 | 6 | 1 | 16.67% | 10 | 1 | 90.00% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 33.3% | 7.8% | 90.0% | 97.8 | Unlucky |
| 24 | Comets | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 19 | 16 | 3 | 6 | 0.750 | 19 | 36 | 55 | 0 | 0 | 107 | 99 | 90 | 13 | 145 | 917 | 955 | 921 | 62 | 143 | 45 | 40 | 101 | 15 | 4 | 26.67% | 20 | 5 | 75.00% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 57.7% | 13.1% | 88.8% | 101.9 | FUN |
| 25 | W-B/Scranton Penguins | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 17 | 19 | -2 | 3 | 0.375 | 17 | 31 | 48 | 0 | 0 | 107 | 99 | 90 | 13 | 131 | 917 | 955 | 921 | 62 | 161 | 54 | 44 | 112 | 12 | 3 | 25.00% | 21 | 3 | 85.71% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 46.7% | 13.0% | 88.2% | 101.2 | FUN |
| 26 | Roadrunners | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 16 | 14 | 2 | 5 | 0.833 | 16 | 30 | 46 | 0 | 0 | 107 | 99 | 90 | 13 | 101 | 917 | 955 | 921 | 62 | 131 | 39 | 26 | 74 | 14 | 5 | 35.71% | 13 | 3 | 76.92% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 50.0% | 15.8% | 89.3% | 105.2 | FUN |
| 27 | Crunch | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 107 | 99 | 90 | 13 | 82 | 917 | 955 | 921 | 62 | 52 | 22 | 10 | 57 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 1 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 64.3% | 12.2% | 88.5% | 100.7 | FUN |
| 28 | Admirals | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 7 | 2 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 107 | 99 | 90 | 13 | 84 | 917 | 955 | 921 | 62 | 66 | 24 | 16 | 53 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 1 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 53.3% | 10.7% | 89.4% | 100.1 | FUN |
| 29 | Moose | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 107 | 99 | 90 | 13 | 47 | 917 | 955 | 921 | 62 | 65 | 17 | 16 | 32 | 4 | 2 | 50.00% | 8 | 1 | 87.50% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 33.3% | 12.8% | 86.2% | 98.9 | FUN |
| 30 | Silver Knights | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 107 | 99 | 90 | 13 | 75 | 917 | 955 | 921 | 62 | 67 | 19 | 10 | 45 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 53.8% | 10.7% | 86.6% | 97.2 | FUN |
| 31 | Firebirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 107 | 99 | 90 | 13 | 80 | 917 | 955 | 921 | 62 | 76 | 24 | 18 | 47 | 10 | 2 | 20.00% | 8 | 3 | 62.50% | 0 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 75.0% | 13.8% | 92.1% | 105.9 | LUCKY |
| _Vs Division | 29 | 10 | 11 | 0 | 4 | 4 | 0 | 0 | 112 | 115 | -3 | 32 | 0.552 | 112 | 199 | 311 | 0 | 0 | 107 | 99 | 90 | 13 | 1031 | 917 | 955 | 921 | 62 | 1029 | 305 | 291 | 729 | 103 | 23 | 22.33% | 129 | 31 | 75.97% | 4 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 51.4% | 10.9% | 88.8% | 99.7 | FUN | |
| _Vs Conference | 48 | 16 | 17 | 0 | 9 | 6 | 0 | 0 | 188 | 174 | 14 | 56 | 0.583 | 188 | 334 | 522 | 0 | 1 | 107 | 99 | 90 | 13 | 1722 | 917 | 955 | 921 | 62 | 1614 | 501 | 434 | 1194 | 180 | 35 | 19.44% | 195 | 43 | 77.95% | 5 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 53.9% | 10.9% | 89.2% | 100.1 | FUN | |
| _Since Last GM Reset | 82 | 27 | 32 | 0 | 12 | 9 | 0 | 2 | 308 | 314 | -6 | 89 | 0.543 | 308 | 550 | 858 | 0 | 1 | 107 | 99 | 90 | 13 | 2843 | 917 | 955 | 921 | 62 | 2884 | 890 | 732 | 2015 | 298 | 66 | 22.15% | 336 | 81 | 75.89% | 6 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 50.9% | 10.8% | 89.1% | 99.9 | FUN | |
| Total | 82 | 27 | 32 | 0 | 12 | 9 | 0 | 2 | 308 | 314 | -6 | 89 | 0.543 | 308 | 550 | 858 | 0 | 1 | 107 | 99 | 90 | 13 | 2843 | 917 | 955 | 921 | 62 | 2884 | 890 | 732 | 2015 | 298 | 66 | 22.15% | 336 | 81 | 75.89% | 6 | 1399 | 2944 | 47.52% | 1437 | 3042 | 47.24% | 673 | 1398 | 48.14% | 1918 | 1279 | 1947 | 644 | 1102 | 545 | 50.9% | 10.8% | 89.1% | 99.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2944 |
| Neutral Zone Start | 1398 |
| Defensive Zone Start | 3042 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3509 |
| Faceoffs Lost | 3875 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.2 | 9.57 |
| 2nd Period | 22.8 | 20.31 |
| 3rd Period | 34.1 | 30.68 |
| Overtime | 34.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.3 | 0.64 |
| 2nd Period | 2.5 | 1.65 |
| 3rd Period | 3.6 | 2.67 |
| Overtime | 3.8 | 2.83 |
| Even Strenght Goal | 236 |
|---|---|
| PP Goal | 66 |
| PK Goal | 6 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 22 | 17 |
| Lost | 12 | 20 |
| Overtime Lost | 7 | 4 |
| PP Attempt | 298 |
|---|---|
| PP Goal | 66 |
| PK Attempt | 336 |
| PK Goal Against | 81 |
| Home | |
|---|---|
| Shots For | 34.7 |
| Shots Against | 35.2 |
| Goals For | 3.8 |
| Goals Against | 3.8 |
| Hits | 24.6 |
| Shots Blocked | 10.9 |
| Pim | 8.9 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,247,334$ | 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 | 78863 | 39087 | |||
| Attendance PCT | 96.17% | 95.33% | 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 | 2877 - 95.89% | 100,110$ | 4,104,490$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,247,334$ | 2,247,334$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,448,663$ | 0$ | 2,434,043$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 12,555$ | 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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