*** 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Saku Maenalanen | 0 | LW/RW | 100.00 | 74 | 38 | 82 | 61 | 78 | 57 | 68 | 57 | 50 | 69 | 60 | 68 | 51 | 57 | 57 | 0 | 50 | 66 | 31 | 775,000$/1yrs | |||
Liam Ohgren | 0 | LW | 100.00 | 72 | 42 | 88 | 68 | 72 | 56 | 57 | 60 | 52 | 64 | 61 | 64 | 54 | 57 | 58 | 0 | 50 | 66 | 22 | 1,378,333$/3yrs | |||
Kyle Criscuolo | 42 | C | 100.00 | 54 | 59 | 68 | 62 | 59 | 69 | 67 | 64 | 70 | 63 | 64 | 65 | 54 | 76 | 66 | 0 | 50 | 66 | 33 | 775,000$/1yrs | |||
Bradly Nadeau (R) | 0 | C/LW/RW | 100.00 | 56 | 58 | 74 | 61 | 64 | 71 | 63 | 64 | 55 | 63 | 64 | 59 | 57 | 55 | 56 | 0 | 50 | 65 | 20 | 918,333$/2yrs | |||
Adam Sykora | 0 | C/LW | 100.00 | 55 | 56 | 70 | 64 | 65 | 69 | 66 | 62 | 55 | 64 | 60 | 60 | 54 | 56 | 54 | 0 | 50 | 65 | 21 | 918,333$/2yrs | |||
Daniel D'Amato | 0 | LW/RW | 100.00 | 55 | 57 | 68 | 61 | 68 | 66 | 64 | 59 | 55 | 58 | 60 | 62 | 54 | 63 | 57 | 0 | 50 | 63 | 24 | 775,000$/1yrs | |||
Hugh McGing | 0 | C/LW | 100.00 | 55 | 56 | 68 | 60 | 59 | 68 | 66 | 60 | 55 | 60 | 58 | 62 | 54 | 66 | 60 | 0 | 50 | 63 | 27 | 775,000$/2yrs | |||
Nathan Smith | 24 | C | 100.00 | 55 | 56 | 68 | 59 | 65 | 67 | 65 | 60 | 70 | 59 | 58 | 64 | 54 | 64 | 59 | 0 | 50 | 63 | 27 | 775,000$/1yrs | |||
Riley Damiani | 72 | C | 100.00 | 54 | 54 | 58 | 56 | 56 | 59 | 58 | 56 | 59 | 55 | 55 | 57 | 54 | 56 | 54 | 0 | 50 | 58 | 26 | 775,000$/1yrs | |||
Timur Ibragimov | 0 | LW | 100.00 | 54 | 54 | 59 | 54 | 58 | 56 | 56 | 55 | 54 | 55 | 55 | 56 | 55 | 56 | 54 | 0 | 50 | 58 | 25 | 820,000$/1yrs | |||
Matej Pekar | 0 | C/LW | 100.00 | 55 | 54 | 58 | 55 | 58 | 55 | 55 | 54 | 54 | 55 | 54 | 56 | 54 | 56 | 54 | 0 | 50 | 57 | 26 | 863,334$/1yrs | |||
Josh Davies (R) | 0 | C/LW | 100.00 | 53 | 51 | 65 | 52 | 62 | 55 | 54 | 51 | 52 | 51 | 51 | 56 | 51 | 51 | 49 | 0 | 50 | 56 | 22 | 828,333$/3yrs | |||
Gustav Olofsson | 5 | D | 100.00 | 56 | 54 | 70 | 59 | 73 | 66 | 63 | 62 | 40 | 62 | 60 | 65 | 54 | 74 | 64 | 0 | 50 | 65 | 31 | 775,000$/1yrs | |||
Ben Gleason | 0 | D | 100.00 | 55 | 55 | 70 | 57 | 67 | 64 | 62 | 61 | 40 | 61 | 59 | 64 | 54 | 66 | 60 | 0 | 50 | 64 | 28 | 775,000$/2yrs | |||
Hunter Skinner | 7 | D | 100.00 | 58 | 54 | 63 | 62 | 70 | 68 | 67 | 60 | 40 | 59 | 60 | 64 | 54 | 61 | 57 | 0 | 50 | 64 | 24 | 775,000$/2yrs | |||
Ronnie Attard | 0 | D | 100.00 | 58 | 56 | 69 | 61 | 74 | 68 | 66 | 58 | 40 | 58 | 57 | 65 | 54 | 61 | 57 | 0 | 50 | 64 | 27 | 850,000$/2yrs | |||
Colton White | 0 | D | 100.00 | 56 | 54 | 68 | 58 | 66 | 67 | 65 | 61 | 40 | 60 | 59 | 63 | 54 | 67 | 61 | 0 | 50 | 64 | 28 | 775,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jan Jenik | 0 | C/LW/RW | 100.00 | 57 | 59 | 67 | 57 | 73 | 66 | 65 | 62 | 66 | 63 | 61 | 63 | 58 | 63 | 59 | 0 | 50 | 65 | 25 | 775,000$/2yrs | |||
Roland McKeown | 0 | D | 47.78 | 56 | 54 | 67 | 62 | 68 | 69 | 67 | 64 | 40 | 63 | 63 | 66 | 54 | 69 | 62 | 0 | 50 | 67 | 30 | 775,000$/1yrs | |||
Mason Millman | 11 | D | 100.00 | 56 | 55 | 69 | 57 | 66 | 63 | 61 | 56 | 40 | 56 | 55 | 64 | 54 | 60 | 56 | 0 | 50 | 61 | 24 | 870,000$/1yrs | |||
Simon Johansson | 0 | D | 100.00 | 55 | 54 | 58 | 56 | 59 | 59 | 58 | 55 | 50 | 54 | 55 | 56 | 54 | 56 | 55 | 0 | 50 | 59 | 26 | 925,000$/1yrs | |||
Jared McIsaac | 9 | D | 100.00 | 54 | 54 | 59 | 55 | 58 | 56 | 55 | 54 | 50 | 54 | 54 | 56 | 54 | 56 | 54 | 0 | 50 | 58 | 26 | 787,500$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pheonix Copley | 79 | 100.00 | 75 | 70 | 71 | 74 | 73 | 72 | 67 | 70 | 67 | 73 | 73 | 75 | 65 | 0 | 50 | 74 | 34 | 825,000$/2yrs |
Dylan Garand | 0 | 100.00 | 72 | 73 | 73 | 56 | 72 | 63 | 68 | 73 | 62 | 69 | 75 | 61 | 56 | 0 | 50 | 71 | 23 | 902,500$/2yrs |
| Scratches | ||||||||||||||||||||
Mitchell Gibson | 0 | 100.00 | 56 | 55 | 56 | 58 | 66 | 54 | 68 | 56 | 62 | 59 | 71 | 66 | 58 | 0 | 50 | 63 | 26 | 775,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Guy Carbonneau | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 61 | 5 | 0$ |
| 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 | Adam Sykora | Wolves (CAR) | C/LW | 82 | 25 | 46 | 71 | -11 | 28 | 0 | 113 | 246 | 80 | 201 | 10.16% | 14 | 21.56 | 6 | 11 | 17 | 0 | 1 | 1 | 161 | 3 | 1 | 42.96% | 0 | 1 | 0.87 | 1 | 3 | 0.79 | |||
| 2 | Kyle Criscuolo | Wolves (CAR) | C | 80 | 29 | 37 | 66 | 12 | 36 | 10 | 79 | 253 | 60 | 166 | 11.46% | 20 | 16.98 | 3 | 7 | 10 | 0 | 0 | 0 | 80 | 5 | 0 | 53.38% | 0 | 0 | 0.83 | 0 | 1 | 0.85 | |||
| 3 | Saku Maenalanen | Wolves (CAR) | LW/RW | 80 | 26 | 34 | 60 | -7 | 76 | 0 | 179 | 245 | 65 | 142 | 10.61% | 27 | 19.30 | 6 | 7 | 13 | 0 | 0 | 0 | 120 | 3 | 1 | 41.90% | 0 | 0 | 0.75 | 0 | 0 | 0.64 | |||
| 4 | Liam Ohgren | Wolves (CAR) | LW | 72 | 24 | 30 | 54 | 8 | 36 | 0 | 122 | 197 | 46 | 122 | 12.18% | 19 | 16.91 | 5 | 6 | 11 | 0 | 0 | 0 | 75 | 3 | 2 | 46.27% | 0 | 1 | 0.75 | 2 | 4 | 0.73 | |||
| 5 | Daniel D'Amato | Wolves (CAR) | LW/RW | 82 | 26 | 28 | 54 | 10 | 39 | 5 | 67 | 175 | 40 | 115 | 14.86% | 11 | 15.75 | 1 | 4 | 5 | 0 | 0 | 0 | 10 | 2 | 0 | 38.55% | 0 | 0 | 0.66 | 0 | 0 | 0.62 | |||
| 6 | Gustav Olofsson | Wolves (CAR) | D | 81 | 16 | 37 | 53 | -5 | 56 | 0 | 137 | 113 | 40 | 82 | 14.16% | 119 | 21.63 | 8 | 10 | 18 | 1 | 0 | 1 | 260 | 1 | 1 | 0.00% | 0 | 0 | 0.65 | 1 | 1 | 0.54 | |||
| 7 | Jan Jenik | Wolves (CAR) | C/LW/RW | 78 | 18 | 32 | 50 | -6 | 44 | 10 | 105 | 175 | 58 | 149 | 10.29% | 14 | 16.74 | 4 | 6 | 10 | 0 | 0 | 0 | 153 | 2 | 2 | 55.05% | 0 | 0 | 0.64 | 0 | 4 | 0.56 | |||
| 8 | Roland McKeown | Wolves (CAR) | D | 77 | 10 | 32 | 42 | -7 | 42 | 0 | 131 | 130 | 27 | 90 | 7.69% | 104 | 20.12 | 4 | 7 | 11 | 1 | 0 | 1 | 178 | 1 | 0 | 0.00% | 0 | 0 | 0.55 | 0 | 0 | 0.48 | |||
| 9 | Bradly Nadeau | Wolves (CAR) | C/LW/RW | 80 | 12 | 27 | 39 | -22 | 43 | 5 | 80 | 178 | 67 | 132 | 6.74% | 3 | 14.58 | 1 | 3 | 4 | 0 | 0 | 0 | 40 | 2 | 1 | 46.31% | 0 | 0 | 0.49 | 0 | 1 | 0.35 | |||
| 10 | Ben Gleason | Wolves (CAR) | D | 81 | 7 | 30 | 37 | 14 | 46 | 0 | 97 | 80 | 30 | 38 | 8.75% | 103 | 17.17 | 2 | 2 | 4 | 0 | 0 | 0 | 170 | 1 | 0 | 0.00% | 1 | 0 | 0.46 | 0 | 0 | 0.43 | |||
| 11 | Colton White | Wolves (CAR) | D | 82 | 9 | 28 | 37 | -3 | 42 | 0 | 134 | 99 | 39 | 60 | 9.09% | 92 | 17.58 | 2 | 4 | 6 | 0 | 1 | 1 | 188 | 1 | 1 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | 0.40 | |||
| 12 | Hunter Skinner | Wolves (CAR) | D | 81 | 10 | 23 | 33 | -2 | 66 | 0 | 130 | 72 | 20 | 35 | 13.89% | 77 | 15.46 | 2 | 2 | 4 | 0 | 0 | 0 | 81 | 1 | 1 | 0.00% | 0 | 0 | 0.41 | 0 | 0 | 0.27 | |||
| 13 | Hugh McGing | Wolves (CAR) | C/LW | 80 | 5 | 13 | 18 | -5 | 16 | 0 | 51 | 77 | 24 | 74 | 6.49% | 7 | 7.85 | 1 | 3 | 4 | 0 | 0 | 0 | 54 | 2 | 0 | 42.17% | 0 | 0 | 0.23 | 0 | 0 | 0.20 | |||
| 14 | Nathan Smith | Wolves (CAR) | C | 80 | 8 | 10 | 18 | 11 | 6 | 0 | 20 | 65 | 18 | 46 | 12.31% | 4 | 5.43 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 58.97% | 0 | 0 | 0.23 | 0 | 0 | 0.27 | |||
| 15 | Mason Millman | Wolves (CAR) | D | 49 | 1 | 10 | 11 | 4 | 40 | 0 | 75 | 34 | 7 | 18 | 2.94% | 43 | 12.96 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.17 | |||
| 16 | Ronnie Attard | Wolves (CAR) | D | 10 | 1 | 2 | 3 | 4 | 6 | 0 | 11 | 11 | 2 | 7 | 9.09% | 12 | 15.68 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 1 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.41 | |||
| 17 | Simon Johansson | Wolves (CAR) | D | 16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 100.00% | 2 | 1.75 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 1 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | 0.06 | |||
| 18 | Riley Damiani | Wolves (CAR) | C | 20 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 3 | 1 | 3 | 0.00% | 0 | 1.35 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 51.61% | 0 | 0 | 0.05 | 0 | 0 | 0.07 | |||
| 19 | Jared McIsaac | Wolves (CAR) | D | 2 | 0 | 0 | 0 | 0 | 6 | 0 | 4 | 0 | 0 | 0 | 0.00% | 3 | 16.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.43 | |||
| 20 | Matej Pekar | Wolves (CAR) | C/LW | 9 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 0 | 1.15 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 22.22% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
| 21 | Timur Ibragimov | Wolves (CAR) | LW | 14 | 0 | 0 | 0 | 2 | 0 | 0 | 5 | 2 | 1 | 4 | 0.00% | 0 | 3.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.88% | 0 | 0 | 0.00 | 0 | 0 | 0.07 | |||
| 22 | Josh Davies | Wolves (CAR) | C/LW | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 1 | 0.00% | 0 | 4.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.00 | 0 | 0 | 0.06 | |||
| Team Total or Average | 1242 | 228 | 420 | 648 | -3 | 628 | 30 | 1544 | 2160 | 626 | 1487 | 10.56% | 674 | 15.35 | 45 | 72 | 117 | 1780 | 2 | 3 | 5 | 1623 | 28 | 12 | 47.44% | 3971 | 0 | 0 | 1 | 2 | 0.68 | 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 | Pheonix Copley | Wolves (CAR) | 70 | 33 | 21 | 6 | 0.900 | 3.47 | 3716 | 16 | 1 | 215 | 2150 | 0 | 2 | 1 | 0.789 | 19 | 64 | 18 | 2 | 1 | 5 |
| 2 | Dylan Garand | Wolves (CAR) | 66 | 25 | 29 | 7 | 0.888 | 3.56 | 3658 | 4 | 0 | 217 | 1938 | 0 | 1 | 2 | 0.545 | 11 | 64 | 15 | 1 | 3 | 2 |
| 3 | Mitchell Gibson | Wolves (CAR) | 26 | 7 | 11 | 4 | 0.889 | 3.67 | 1211 | 0 | 0 | 74 | 664 | 0 | 1 | 0 | 0.600 | 5 | 18 | 55 | 0 | 0 | 0 |
| Team Total or Average | 162 | 65 | 61 | 17 | 0.894 | 3.54 | 8585 | 20 | 1 | 506 | 4752 | 0 | 4 | 3 | 0.686 | 35 | 146 | 88 | 3 | 4 | 7 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Sykora | C/LW | 21 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Ben Gleason ![]() | D | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Bradly Nadeau | C/LW/RW | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Colton White ![]() | D | 28 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Daniel D'Amato | LW/RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Dylan Garand | G | 23 | 902,500$ | 902,500$ | 775,000$ | RFA | |||||
Gustav Olofsson ![]() | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Hugh McGing ![]() | C/LW | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Hunter Skinner | D | 24 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Jan Jenik ![]() | C/LW/RW | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jared McIsaac ![]() | D | 26 | 787,500$ | 787,500$ | RFA | ||||||
Josh Davies | C/LW | 22 | 828,333$ | 828,333$ | 828,333$ | 828,333$ | RFA | ||||
Kyle Criscuolo ![]() | C | 33 | 775,000$ | 775,000$ | UFA | ||||||
Liam Ohgren | LW | 22 | 1,378,333$ | 1,378,333$ | 1,378,333$ | 1,378,333$ | RFA | ||||
Mason Millman | D | 24 | 870,000$ | 870,000$ | RFA | ||||||
Matej Pekar ![]() | C/LW | 26 | 863,334$ | 863,334$ | RFA | ||||||
Mitchell Gibson ![]() | G | 26 | 775,000$ | 775,000$ | 812,500$ | 812,500$ | UFA | ||||
Nathan Smith ![]() | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Pheonix Copley ![]() | G | 34 | 825,000$ | 825,000$ | 775,000$ | UFA | |||||
Riley Damiani ![]() | C | 26 | 775,000$ | 775,000$ | RFA | ||||||
Roland McKeown ![]() | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Ronnie Attard ![]() | D | 27 | 850,000$ | 850,000$ | 775,000$ | UFA | |||||
Saku Maenalanen ![]() | LW/RW | 31 | 775,000$ | 775,000$ | UFA | ||||||
Simon Johansson ![]() | D | 26 | 925,000$ | 925,000$ | UFA | ||||||
Timur Ibragimov ![]() | LW | 25 | 820,000$ | 820,000$ | RFA |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
| |||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
| |||||||
|
| ||||||
|
| ||||||
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
| |||||||
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 112 | 86 | 87 | 11 | 54 | 926 | 847 | 967 | 76 | 58 | 18 | 19 | 44 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 66.7% | 9.3% | 96.6% | 105.8 | LUCKY |
| 2 | Marlies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 112 | 86 | 87 | 11 | 58 | 926 | 847 | 967 | 76 | 68 | 14 | 22 | 42 | 3 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 36.4% | 6.9% | 88.2% | 95.1 | Unlucky |
| 3 | Americans | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 112 | 86 | 87 | 11 | 69 | 926 | 847 | 967 | 76 | 66 | 21 | 22 | 46 | 9 | 2 | 22.22% | 10 | 1 | 90.00% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 72.7% | 14.5% | 93.9% | 108.4 | LUCKY |
| 4 | Binghamton Senateurs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 112 | 86 | 87 | 11 | 55 | 926 | 847 | 967 | 76 | 79 | 20 | 18 | 45 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 20.0% | 5.5% | 87.3% | 92.8 | Unlucky |
| 5 | Bears | 4 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 14 | 13 | 1 | 5 | 0.625 | 14 | 25 | 39 | 0 | 0 | 112 | 86 | 87 | 11 | 145 | 926 | 847 | 967 | 76 | 130 | 47 | 36 | 110 | 18 | 5 | 27.78% | 15 | 1 | 93.33% | 1 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 42.9% | 9.7% | 90.0% | 99.7 | FUN |
| 6 | Rockets | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 112 | 86 | 87 | 11 | 66 | 926 | 847 | 967 | 76 | 69 | 25 | 14 | 48 | 6 | 3 | 50.00% | 7 | 1 | 85.71% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 50.0% | 16.7% | 87.0% | 103.6 | FUN |
| 7 | Providence Bruins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 112 | 86 | 87 | 11 | 61 | 926 | 847 | 967 | 76 | 57 | 13 | 14 | 37 | 5 | 2 | 40.00% | 7 | 2 | 71.43% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 62.5% | 11.5% | 91.2% | 102.7 | LUCKY |
| 8 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 112 | 86 | 87 | 11 | 60 | 926 | 847 | 967 | 76 | 69 | 14 | 16 | 51 | 10 | 1 | 10.00% | 8 | 1 | 87.50% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 57.1% | 8.3% | 94.2% | 102.5 | DULL |
| 9 | Phantoms | 5 | 3 | 0 | 0 | 1 | 0 | 1 | 0 | 22 | 15 | 7 | 10 | 1.000 | 22 | 38 | 60 | 0 | 0 | 112 | 86 | 87 | 11 | 156 | 926 | 847 | 967 | 76 | 190 | 55 | 62 | 135 | 17 | 3 | 17.65% | 24 | 5 | 79.17% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 65.5% | 14.1% | 92.1% | 106.2 | LUCKY |
| 10 | Wolf Pack | 4 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 10 | 16 | -6 | 2 | 0.250 | 10 | 19 | 29 | 1 | 0 | 112 | 86 | 87 | 11 | 153 | 926 | 847 | 967 | 76 | 131 | 41 | 37 | 90 | 17 | 4 | 23.53% | 16 | 2 | 87.50% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 30.0% | 6.5% | 87.8% | 94.3 | Unlucky |
| 11 | islanders | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 10 | 14 | -4 | 3 | 0.375 | 10 | 16 | 26 | 0 | 0 | 112 | 86 | 87 | 11 | 165 | 926 | 847 | 967 | 76 | 130 | 38 | 18 | 110 | 14 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 43.5% | 6.1% | 89.2% | 95.3 | Unlucky |
| 12 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 112 | 86 | 87 | 11 | 51 | 926 | 847 | 967 | 76 | 66 | 17 | 18 | 48 | 10 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 38.5% | 9.8% | 86.4% | 96.2 | FUN |
| 13 | Griffins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 112 | 86 | 87 | 11 | 64 | 926 | 847 | 967 | 76 | 72 | 17 | 47 | 47 | 1 | 0 | 0.00% | 16 | 6 | 62.50% | 1 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 41.7% | 7.8% | 81.9% | 89.8 | Unlucky |
| 14 | Monsters | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 14 | 13 | 1 | 5 | 0.625 | 14 | 26 | 40 | 0 | 0 | 112 | 86 | 87 | 11 | 157 | 926 | 847 | 967 | 76 | 131 | 32 | 24 | 87 | 19 | 4 | 21.05% | 12 | 3 | 75.00% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 50.0% | 8.9% | 90.1% | 99.0 | Unlucky |
| 15 | Barracuda | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 0 | 0.000 | 8 | 16 | 24 | 0 | 0 | 112 | 86 | 87 | 11 | 64 | 926 | 847 | 967 | 76 | 84 | 22 | 35 | 51 | 2 | 0 | 0.00% | 14 | 5 | 64.29% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 53.3% | 12.5% | 85.7% | 98.2 | FUN |
| 16 | Condors | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 10 | 15 | -5 | 1 | 0.167 | 10 | 19 | 29 | 0 | 0 | 112 | 86 | 87 | 11 | 118 | 926 | 847 | 967 | 76 | 111 | 27 | 22 | 87 | 15 | 4 | 26.67% | 11 | 3 | 72.73% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 33.3% | 8.5% | 86.5% | 95.0 | Unlucky |
| 17 | Iowa Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 112 | 86 | 87 | 11 | 90 | 926 | 847 | 967 | 76 | 67 | 18 | 20 | 43 | 12 | 3 | 25.00% | 9 | 1 | 88.89% | 1 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 58.3% | 11.1% | 91.0% | 102.2 | FUN |
| 18 | Reign | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 112 | 86 | 87 | 11 | 85 | 926 | 847 | 967 | 76 | 116 | 31 | 28 | 57 | 8 | 2 | 25.00% | 14 | 1 | 92.86% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 35.7% | 8.2% | 91.4% | 99.6 | DULL |
| 19 | Thunderbirds | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 9 | 0 | 3 | 0.750 | 9 | 15 | 24 | 0 | 0 | 112 | 86 | 87 | 11 | 62 | 926 | 847 | 967 | 76 | 74 | 29 | 30 | 45 | 8 | 3 | 37.50% | 12 | 1 | 91.67% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 42.9% | 14.5% | 87.8% | 102.4 | FUN |
| 20 | Wranglers | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 11 | 17 | -6 | 2 | 0.250 | 11 | 20 | 31 | 0 | 0 | 112 | 86 | 87 | 11 | 119 | 926 | 847 | 967 | 76 | 177 | 42 | 36 | 109 | 11 | 3 | 27.27% | 15 | 2 | 86.67% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 34.8% | 9.2% | 90.4% | 99.6 | FUN |
| 21 | Gulls | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 12 | 10 | 2 | 5 | 0.833 | 12 | 21 | 33 | 0 | 0 | 112 | 86 | 87 | 11 | 124 | 926 | 847 | 967 | 76 | 100 | 27 | 30 | 65 | 9 | 2 | 22.22% | 14 | 2 | 85.71% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 55.6% | 9.7% | 90.0% | 99.7 | FUN |
| 22 | Texas Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 18 | 27 | 0 | 0 | 112 | 86 | 87 | 11 | 67 | 926 | 847 | 967 | 76 | 68 | 21 | 8 | 46 | 5 | 1 | 20.00% | 3 | 2 | 33.33% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 53.3% | 13.4% | 86.8% | 100.2 | FUN |
| 23 | Canucks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 112 | 86 | 87 | 11 | 64 | 926 | 847 | 967 | 76 | 74 | 19 | 16 | 39 | 6 | 2 | 33.33% | 6 | 1 | 83.33% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 55.6% | 10.9% | 93.2% | 104.2 | LUCKY |
| 24 | Comets | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 15 | 12 | 3 | 5 | 0.625 | 15 | 27 | 42 | 0 | 0 | 112 | 86 | 87 | 11 | 119 | 926 | 847 | 967 | 76 | 151 | 46 | 64 | 104 | 14 | 1 | 7.14% | 30 | 4 | 86.67% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 63.6% | 12.6% | 92.1% | 104.7 | LUCKY |
| 25 | W-B/Scranton Penguins | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 12 | 7 | 4 | 0.500 | 19 | 38 | 57 | 0 | 0 | 112 | 86 | 87 | 11 | 140 | 926 | 847 | 967 | 76 | 119 | 40 | 28 | 98 | 18 | 4 | 22.22% | 12 | 2 | 83.33% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 60.0% | 13.6% | 89.9% | 103.5 | FUN |
| 26 | Roadrunners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 112 | 86 | 87 | 11 | 84 | 926 | 847 | 967 | 76 | 69 | 10 | 16 | 57 | 9 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 46.7% | 8.3% | 85.5% | 93.8 | Unlucky |
| 27 | Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 112 | 86 | 87 | 11 | 69 | 926 | 847 | 967 | 76 | 64 | 26 | 27 | 58 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 70.0% | 10.1% | 92.2% | 102.3 | LUCKY |
| 28 | Admirals | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 0 | 0.000 | 7 | 13 | 20 | 1 | 0 | 112 | 86 | 87 | 11 | 56 | 926 | 847 | 967 | 76 | 68 | 17 | 18 | 55 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 46.2% | 12.5% | 86.8% | 99.3 | FUN |
| 29 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 4 | 1.000 | 13 | 23 | 36 | 0 | 0 | 112 | 86 | 87 | 11 | 74 | 926 | 847 | 967 | 76 | 66 | 21 | 16 | 49 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 70.6% | 17.6% | 89.4% | 107.0 | FUN |
| 30 | Silver Knights | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 112 | 86 | 87 | 11 | 65 | 926 | 847 | 967 | 76 | 43 | 21 | 8 | 55 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 70.0% | 12.3% | 93.0% | 105.3 | LUCKY |
| 31 | Firebirds | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 3 | 0.750 | 10 | 18 | 28 | 0 | 0 | 112 | 86 | 87 | 11 | 78 | 926 | 847 | 967 | 76 | 68 | 20 | 19 | 51 | 10 | 5 | 50.00% | 6 | 0 | 100.00% | 1 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 38.5% | 12.8% | 88.2% | 101.1 | FUN |
| _Vs Division | 29 | 10 | 9 | 0 | 2 | 5 | 2 | 1 | 104 | 95 | 9 | 34 | 0.586 | 104 | 189 | 293 | 1 | 0 | 112 | 86 | 87 | 11 | 1035 | 926 | 847 | 967 | 76 | 982 | 299 | 269 | 734 | 117 | 21 | 17.95% | 116 | 18 | 84.48% | 1 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 51.9% | 10.0% | 90.3% | 100.4 | FUN | |
| _Vs Conference | 45 | 16 | 16 | 0 | 4 | 5 | 3 | 1 | 156 | 151 | 5 | 52 | 0.578 | 156 | 286 | 442 | 1 | 1 | 112 | 86 | 87 | 11 | 1531 | 926 | 847 | 967 | 76 | 1515 | 453 | 452 | 1101 | 156 | 30 | 19.23% | 188 | 33 | 82.45% | 2 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 51.6% | 10.2% | 90.0% | 100.2 | FUN | |
| _Since Last GM Reset | 82 | 31 | 32 | 0 | 6 | 7 | 3 | 3 | 294 | 294 | 0 | 90 | 0.549 | 294 | 542 | 836 | 2 | 1 | 112 | 86 | 87 | 11 | 2792 | 926 | 847 | 967 | 76 | 2835 | 809 | 788 | 2009 | 287 | 59 | 20.56% | 335 | 59 | 82.39% | 4 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 50.0% | 10.5% | 89.6% | 100.2 | FUN | |
| Total | 82 | 31 | 32 | 0 | 6 | 7 | 3 | 3 | 294 | 294 | 0 | 90 | 0.549 | 294 | 542 | 836 | 2 | 1 | 112 | 86 | 87 | 11 | 2792 | 926 | 847 | 967 | 76 | 2835 | 809 | 788 | 2009 | 287 | 59 | 20.56% | 335 | 59 | 82.39% | 4 | 1476 | 2899 | 50.91% | 1482 | 3006 | 49.30% | 680 | 1367 | 49.74% | 1894 | 1258 | 1967 | 642 | 1109 | 548 | 50.0% | 10.5% | 89.6% | 100.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2899 |
| Neutral Zone Start | 1367 |
| Defensive Zone Start | 3006 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3638 |
| Faceoffs Lost | 3634 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.3 | 9.57 |
| 2nd Period | 21.6 | 20.31 |
| 3rd Period | 33.4 | 30.68 |
| Overtime | 34.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.4 | 1.65 |
| 3rd Period | 3.5 | 2.67 |
| Overtime | 3.6 | 2.83 |
| Even Strenght Goal | 229 |
|---|---|
| PP Goal | 59 |
| PK Goal | 4 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 22 | 18 |
| Lost | 14 | 18 |
| Overtime Lost | 5 | 5 |
| PP Attempt | 287 |
|---|---|
| PP Goal | 59 |
| PK Attempt | 335 |
| PK Goal Against | 59 |
| Home | |
|---|---|
| Shots For | 34.0 |
| Shots Against | 34.6 |
| Goals For | 3.6 |
| Goals Against | 3.6 |
| Hits | 24.5 |
| Shots Blocked | 9.9 |
| Pim | 9.6 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,018,665$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Chicago | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 18$ | $ | $ | $ |
| Attendance | 61546 | 30815 | |||
| Attendance PCT | 75.06% | 75.16% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 2253 - 75.09% | 98,441$ | 4,036,081$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,018,665$ | 2,018,665$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,257,532$ | 0$ | 2,248,752$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 11,277$ | 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 |
|---|---|---|
|
|
|
|
| Defense #1 | Defense #2 | Goalie |
|---|---|---|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||




