*** 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joe Snively | 0 | LW | 100.00 | 56 | 59 | 70 | 63 | 61 | 70 | 67 | 66 | 55 | 66 | 63 | 63 | 64 | 70 | 62 | 0 | 50 | 67 | 30 | 775,000$/1yrs | |||
Mike Vecchione | 19 | LW | 100.00 | 55 | 60 | 70 | 62 | 64 | 69 | 66 | 65 | 55 | 62 | 65 | 64 | 54 | 75 | 65 | 0 | 50 | 67 | 33 | 775,000$/1yrs | |||
Ross Johnston | 32 | LW | 100.00 | 90 | 78 | 74 | 63 | 88 | 49 | 75 | 57 | 53 | 61 | 59 | 68 | 54 | 63 | 60 | 0 | 50 | 66 | 32 | 1,100,000$/2yrs | |||
Olle Lycksell | 0 | C/LW/RW | 100.00 | 59 | 54 | 78 | 66 | 61 | 62 | 61 | 64 | 54 | 67 | 61 | 64 | 59 | 63 | 60 | 0 | 50 | 66 | 26 | 787,500$/2yrs | |||
Matt Luff | 0 | RW | 100.00 | 55 | 55 | 71 | 62 | 75 | 64 | 63 | 64 | 55 | 63 | 63 | 60 | 56 | 68 | 61 | 0 | 50 | 65 | 28 | 775,000$/2yrs | |||
Nick Abruzzese | 0 | C/LW | 100.00 | 54 | 59 | 70 | 61 | 63 | 69 | 66 | 65 | 55 | 65 | 61 | 63 | 57 | 64 | 59 | 0 | 50 | 65 | 26 | 775,000$/2yrs | |||
Mikael Pyyhtia | 0 | LW | 100.00 | 62 | 48 | 84 | 68 | 66 | 61 | 64 | 59 | 55 | 61 | 61 | 64 | 57 | 60 | 59 | 0 | 50 | 65 | 24 | 925,000$/2yrs | |||
Michael Sgarbossa | 0 | C | 100.00 | 55 | 55 | 73 | 59 | 66 | 62 | 61 | 60 | 70 | 62 | 57 | 61 | 54 | 76 | 65 | 0 | 50 | 63 | 33 | 775,000$/1yrs | |||
William Lockwood | 11 | C | 100.00 | 57 | 59 | 72 | 61 | 64 | 63 | 62 | 59 | 55 | 58 | 58 | 63 | 54 | 66 | 60 | 0 | 50 | 63 | 27 | 775,000$/1yrs | |||
Chase Wheatcroft | 76 | C | 100.00 | 54 | 57 | 69 | 58 | 69 | 67 | 65 | 59 | 55 | 59 | 57 | 63 | 54 | 57 | 55 | 0 | 50 | 62 | 23 | 915,833$/2yrs | |||
Tim Gettinger | 0 | LW | 100.00 | 53 | 59 | 69 | 59 | 79 | 66 | 64 | 56 | 55 | 55 | 56 | 61 | 58 | 65 | 60 | 0 | 50 | 62 | 27 | 775,000$/1yrs | |||
Marc Del Gaizo | 7 | D | 100.00 | 61 | 60 | 77 | 69 | 68 | 67 | 65 | 61 | 41 | 64 | 62 | 74 | 55 | 62 | 59 | 0 | 50 | 68 | 26 | 775,000$/1yrs | |||
Michael Callahan | 24 | D | 100.00 | 57 | 58 | 74 | 66 | 73 | 66 | 64 | 61 | 41 | 62 | 61 | 70 | 55 | 63 | 59 | 0 | 50 | 67 | 26 | 775,000$/2yrs | |||
Jarred Tinordi | 0 | D | 100.00 | 64 | 61 | 68 | 58 | 82 | 64 | 65 | 59 | 40 | 60 | 60 | 69 | 54 | 73 | 64 | 0 | 50 | 66 | 34 | 800,000$/1yrs | |||
Matt Kiersted | 4 | D | 100.00 | 57 | 56 | 68 | 58 | 67 | 68 | 66 | 62 | 41 | 64 | 57 | 69 | 55 | 66 | 60 | 0 | 50 | 65 | 27 | 775,000$/3yrs | |||
Reilly Walsh | 0 | D | 100.00 | 55 | 55 | 68 | 60 | 65 | 68 | 66 | 63 | 40 | 62 | 59 | 63 | 54 | 64 | 59 | 0 | 50 | 64 | 26 | 775,000$/1yrs | |||
William Wallinder | 0 | D | 100.00 | 55 | 54 | 70 | 60 | 74 | 67 | 65 | 60 | 40 | 59 | 59 | 65 | 54 | 58 | 56 | 0 | 50 | 64 | 23 | 925,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Oskar Olausson | 0 | RW | 87.40 | 56 | 59 | 70 | 72 | 70 | 67 | 65 | 62 | 56 | 62 | 61 | 63 | 60 | 59 | 57 | 0 | 50 | 66 | 23 | 863,333$/1yrs | |||
Fredrik Karlstrom | 0 | C | 100.00 | 54 | 56 | 69 | 59 | 70 | 63 | 61 | 59 | 60 | 57 | 59 | 62 | 54 | 63 | 58 | 0 | 50 | 62 | 28 | 775,000$/1yrs | |||
Adam Raska | 57 | C | 100.00 | 57 | 56 | 63 | 58 | 62 | 66 | 65 | 57 | 55 | 57 | 56 | 63 | 54 | 59 | 55 | 0 | 50 | 61 | 24 | 775,000$/1yrs | |||
Eetu Liukas | 17 | C | 100.00 | 55 | 54 | 67 | 58 | 72 | 65 | 64 | 56 | 55 | 56 | 56 | 62 | 54 | 56 | 54 | 0 | 50 | 61 | 23 | 925,000$/2yrs | |||
Ryan McGregor | 86 | C | 100.00 | 54 | 55 | 70 | 57 | 66 | 63 | 61 | 57 | 70 | 57 | 56 | 63 | 54 | 62 | 57 | 0 | 50 | 61 | 27 | 775,000$/1yrs | |||
Anthony Romano (R) | 0 | C | 100.00 | 54 | 54 | 70 | 56 | 63 | 60 | 59 | 55 | 55 | 55 | 55 | 61 | 54 | 60 | 56 | 0 | 50 | 60 | 25 | 775,000$/1yrs | |||
Ilya Usau | 0 | C | 100.00 | 52 | 52 | 63 | 54 | 58 | 62 | 60 | 54 | 67 | 53 | 53 | 57 | 51 | 52 | 50 | 0 | 50 | 58 | 24 | 925,000$/1yrs | |||
Dennis Cholowski | 44 | D | 100.00 | 58 | 48 | 81 | 69 | 76 | 61 | 63 | 63 | 41 | 65 | 64 | 72 | 55 | 63 | 60 | 0 | 50 | 68 | 28 | 762,500$/2yrs | |||
Joe Hicketts | 2 | D | 100.00 | 56 | 54 | 68 | 58 | 58 | 65 | 64 | 60 | 40 | 61 | 58 | 63 | 54 | 69 | 62 | 0 | 50 | 63 | 29 | 775,000$/3yrs | |||
Christoffer Sedoff | 0 | D | 100.00 | 55 | 55 | 68 | 58 | 68 | 66 | 64 | 57 | 40 | 57 | 55 | 62 | 54 | 56 | 54 | 0 | 50 | 61 | 24 | 950,000$/2yrs | |||
Layton Ahac | 54 | D | 100.00 | 55 | 54 | 69 | 56 | 71 | 59 | 59 | 54 | 40 | 54 | 54 | 60 | 54 | 58 | 55 | 0 | 50 | 60 | 25 | 925,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matt Villalta | 0 | 100.00 | 72 | 75 | 76 | 69 | 70 | 70 | 66 | 77 | 65 | 71 | 69 | 66 | 59 | 0 | 50 | 74 | 26 | 775,000$/2yrs |
Brandon Halverson | 33 | 100.00 | 70 | 72 | 72 | 72 | 70 | 68 | 69 | 69 | 60 | 67 | 65 | 71 | 62 | 0 | 50 | 71 | 29 | 775,000$/2yrs |
| Scratches | ||||||||||||||||||||
Oscar Dansk | 1 | 100.00 | 64 | 70 | 71 | 65 | 67 | 57 | 67 | 70 | 62 | 69 | 69 | 75 | 63 | 0 | 50 | 69 | 32 | 775,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Peter Bondra | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Urk | 57 | 5 | 0$ |
| 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 | Mike Vecchione | Bears (WAS) | LW | 82 | 39 | 35 | 74 | -1 | 55 | 5 | 136 | 277 | 56 | 153 | 14.08% | 15 | 19.47 | 7 | 7 | 14 | 0 | 0 | 0 | 198 | 4 | 0 | 49.82% | 0 | 1 | 0.90 | 0 | 2 | 0.84 | |||
| 2 | Oskar Olausson | Bears (WAS) | RW | 76 | 21 | 36 | 57 | -8 | 24 | 0 | 94 | 192 | 55 | 142 | 10.94% | 16 | 15.16 | 3 | 9 | 12 | 0 | 0 | 0 | 25 | 4 | 1 | 46.85% | 0 | 0 | 0.75 | 0 | 2 | 0.67 | |||
| 3 | Matt Luff | Bears (WAS) | RW | 82 | 23 | 33 | 56 | 6 | 20 | 0 | 78 | 235 | 82 | 168 | 9.79% | 18 | 19.63 | 8 | 12 | 20 | 0 | 0 | 0 | 126 | 1 | 3 | 45.45% | 0 | 0 | 0.68 | 1 | 4 | 0.74 | |||
| 4 | Joe Snively | Bears (WAS) | LW | 82 | 20 | 36 | 56 | 3 | 40 | 10 | 113 | 243 | 74 | 161 | 8.23% | 15 | 21.15 | 5 | 11 | 16 | 0 | 2 | 2 | 273 | 3 | 2 | 47.06% | 0 | 0 | 0.68 | 1 | 3 | 0.69 | |||
| 5 | Olle Lycksell | Bears (WAS) | C/LW/RW | 77 | 15 | 38 | 53 | -10 | 30 | 0 | 116 | 223 | 75 | 168 | 6.73% | 21 | 20.53 | 3 | 11 | 14 | 1 | 0 | 1 | 170 | 2 | 0 | 41.97% | 0 | 0 | 0.69 | 1 | 4 | 0.64 | |||
| 6 | Nick Abruzzese | Bears (WAS) | C/LW | 76 | 17 | 35 | 52 | -10 | 33 | 5 | 75 | 160 | 45 | 133 | 10.63% | 15 | 14.85 | 1 | 2 | 3 | 0 | 0 | 0 | 16 | 2 | 0 | 48.25% | 1 | 0 | 0.68 | 0 | 0 | 0.54 | |||
| 7 | Dennis Cholowski | Bears (WAS) | D | 76 | 15 | 34 | 49 | 2 | 68 | 0 | 113 | 155 | 49 | 99 | 9.68% | 108 | 22.30 | 4 | 12 | 16 | 0 | 0 | 0 | 233 | 3 | 0 | 0.00% | 0 | 0 | 0.64 | 0 | 0 | 0.56 | |||
| 8 | Michael Callahan | Bears (WAS) | D | 73 | 14 | 35 | 49 | 11 | 46 | 0 | 139 | 116 | 41 | 79 | 12.07% | 126 | 20.75 | 7 | 9 | 16 | 1 | 0 | 1 | 196 | 1 | 3 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.66 | |||
| 9 | Jarred Tinordi | Bears (WAS) | D | 79 | 12 | 34 | 46 | -8 | 103 | 15 | 207 | 122 | 44 | 85 | 9.84% | 97 | 20.99 | 7 | 11 | 18 | 0 | 0 | 0 | 236 | 1 | 0 | 0.00% | 0 | 0 | 0.58 | 0 | 0 | 0.39 | |||
| 10 | Ross Johnston | Bears (WAS) | LW | 78 | 18 | 25 | 43 | -4 | 136 | 10 | 322 | 180 | 56 | 159 | 10.00% | 17 | 17.61 | 3 | 8 | 11 | 0 | 0 | 0 | 140 | 2 | 1 | 45.34% | 0 | 0 | 0.55 | 0 | 1 | 0.39 | |||
| 11 | Mikael Pyyhtia | Bears (WAS) | LW | 78 | 20 | 19 | 39 | -19 | 26 | 0 | 101 | 195 | 53 | 126 | 10.26% | 16 | 15.18 | 0 | 1 | 1 | 0 | 0 | 0 | 17 | 4 | 1 | 54.32% | 0 | 0 | 0.50 | 0 | 0 | 0.46 | |||
| 12 | William Lockwood | Bears (WAS) | C | 82 | 14 | 21 | 35 | 6 | 28 | 0 | 57 | 144 | 34 | 124 | 9.72% | 8 | 15.11 | 2 | 12 | 14 | 0 | 0 | 0 | 3 | 0 | 0 | 47.05% | 0 | 1 | 0.43 | 0 | 0 | 0.41 | |||
| 13 | Marc Del Gaizo | Bears (WAS) | D | 49 | 9 | 22 | 31 | 4 | 43 | 5 | 91 | 98 | 33 | 73 | 9.18% | 62 | 20.94 | 5 | 2 | 7 | 0 | 1 | 1 | 125 | 3 | 0 | 0.00% | 0 | 0 | 0.63 | 0 | 0 | 0.58 | |||
| 14 | William Wallinder | Bears (WAS) | D | 73 | 10 | 21 | 31 | 6 | 48 | 0 | 122 | 105 | 31 | 62 | 9.52% | 111 | 20.29 | 3 | 5 | 8 | 0 | 0 | 0 | 168 | 2 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 0 | 0.43 | |||
| 15 | Matt Kiersted | Bears (WAS) | D | 67 | 5 | 24 | 29 | -4 | 33 | 5 | 117 | 65 | 33 | 58 | 7.69% | 79 | 17.50 | 2 | 7 | 9 | 0 | 0 | 0 | 82 | 1 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.36 | |||
| 16 | Reilly Walsh | Bears (WAS) | D | 76 | 7 | 21 | 28 | -10 | 44 | 0 | 96 | 80 | 26 | 45 | 8.75% | 88 | 17.40 | 4 | 4 | 8 | 0 | 1 | 1 | 178 | 0 | 0 | 0.00% | 0 | 0 | 0.37 | 0 | 0 | 0.27 | |||
| 17 | Joe Hicketts | Bears (WAS) | D | 67 | 7 | 14 | 21 | -10 | 42 | 0 | 116 | 42 | 9 | 33 | 16.67% | 68 | 16.33 | 2 | 0 | 2 | 1 | 0 | 1 | 84 | 1 | 0 | 0.00% | 0 | 0 | 0.31 | 0 | 0 | 0.19 | |||
| 18 | Michael Sgarbossa | Bears (WAS) | C | 82 | 7 | 10 | 17 | -3 | 14 | 0 | 40 | 73 | 21 | 62 | 9.59% | 8 | 9.57 | 0 | 1 | 1 | 0 | 0 | 0 | 66 | 1 | 1 | 54.35% | 0 | 0 | 0.21 | 0 | 0 | 0.19 | |||
| 19 | Chase Wheatcroft | Bears (WAS) | C | 32 | 3 | 4 | 7 | 5 | 2 | 0 | 7 | 18 | 7 | 11 | 16.67% | 1 | 3.16 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 40.70% | 0 | 0 | 0.22 | 0 | 0 | 0.25 | |||
| 20 | Christoffer Sedoff | Bears (WAS) | D | 11 | 0 | 1 | 1 | -5 | 14 | 0 | 18 | 7 | 2 | 3 | 0.00% | 5 | 17.80 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | -0.21 | |||
| 21 | Tim Gettinger | Bears (WAS) | LW | 58 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | 5 | 8 | 16.67% | 2 | 1.97 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 1 | 0 | 47.06% | 0 | 0 | 0.02 | 0 | 1 | 0.03 | |||
| 22 | Adam Raska | Bears (WAS) | C | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 3.82 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 55.17% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | |||
| 23 | Layton Ahac | Bears (WAS) | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 0 | 3 | 0.00% | 6 | 15.93 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.41 | |||
| 24 | Fredrik Karlstrom | Bears (WAS) | C | 35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77.78% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 1499 | 277 | 498 | 775 | -48 | 851 | 55 | 2164 | 2739 | 832 | 1955 | 10.11% | 902 | 16.56 | 67 | 124 | 191 | 2635 | 3 | 4 | 7 | 2397 | 36 | 12 | 47.69% | 6444 | 0 | 0 | 1 | 2 | 0.62 | 3 | 17 |
| 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 | Matt Villalta | Bears (WAS) | 71 | 37 | 25 | 4 | 0.906 | 3.13 | 3892 | 10 | 1 | 203 | 2157 | 0 | 0 | 2 | 0.667 | 6 | 70 | 11 | 10 | 3 | 1 |
| 2 | Brandon Halverson | Bears (WAS) | 34 | 8 | 14 | 6 | 0.890 | 3.58 | 1846 | 2 | 0 | 110 | 999 | 0 | 0 | 1 | 0.706 | 17 | 28 | 42 | 2 | 1 | 0 |
| Team Total or Average | 105 | 45 | 39 | 10 | 0.901 | 3.27 | 5739 | 12 | 1 | 313 | 3156 | 0 | 0 | 3 | 0.696 | 23 | 98 | 53 | 12 | 4 | 1 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Raska | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Anthony Romano ![]() | C | 25 | 775,000$ | 775,000$ | RFA | ||||||
Brandon Halverson ![]() | G | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Chase Wheatcroft | C | 23 | 915,833$ | 915,833$ | 915,833$ | RFA | |||||
Christoffer Sedoff | D | 24 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Dennis Cholowski ![]() | D | 28 | 762,500$ | 775,000$ | 775,000$ | UFA | |||||
Eetu Liukas | C | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Fredrik Karlstrom ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Ilya Usau | C | 24 | 925,000$ | 925,000$ | RFA | ||||||
Jarred Tinordi ![]() | D | 34 | 800,000$ | 800,000$ | UFA | ||||||
Joe Hicketts ![]() | D | 29 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Joe Snively ![]() | LW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Layton Ahac ![]() | D | 25 | 925,000$ | 925,000$ | RFA | ||||||
Marc Del Gaizo ![]() | D | 26 | 775,000$ | 775,000$ | UFA | ||||||
Matt Kiersted ![]() | D | 27 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Matt Luff ![]() | RW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Matt Villalta ![]() | G | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Michael Callahan ![]() | D | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Michael Sgarbossa ![]() | C | 33 | 775,000$ | 775,000$ | UFA | ||||||
Mikael Pyyhtia | LW | 24 | 925,000$ | 925,000$ | 775,000$ | RFA | |||||
Mike Vecchione ![]() | LW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Nick Abruzzese ![]() | C/LW | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Olle Lycksell ![]() | C/LW/RW | 26 | 787,500$ | 787,500$ | 775,000$ | UFA | |||||
Oscar Dansk ![]() | G | 32 | 775,000$ | 775,000$ | UFA | ||||||
Oskar Olausson | RW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Reilly Walsh ![]() | D | 26 | 775,000$ | 775,000$ | UFA | ||||||
Ross Johnston ![]() | LW | 32 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Ryan McGregor ![]() | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Tim Gettinger ![]() | LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
William Lockwood ![]() | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
William Wallinder | D | 23 | 925,000$ | 925,000$ | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 85 | 89 | 94 | 8 | 70 | 834 | 900 | 950 | 69 | 72 | 21 | 29 | 52 | 9 | 1 | 11.11% | 8 | 1 | 87.50% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 50.0% | 7.1% | 93.1% | 100.2 | DULL |
| 2 | Marlies | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 1 | 0.250 | 7 | 13 | 20 | 0 | 0 | 85 | 89 | 94 | 8 | 66 | 834 | 900 | 950 | 69 | 61 | 15 | 18 | 54 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 40.0% | 10.6% | 83.6% | 94.2 | FUN |
| 3 | Americans | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 9 | -3 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 85 | 89 | 94 | 8 | 70 | 834 | 900 | 950 | 69 | 58 | 26 | 24 | 55 | 7 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 42.9% | 8.6% | 84.5% | 93.1 | Unlucky |
| 4 | Binghamton Senateurs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 85 | 89 | 94 | 8 | 68 | 834 | 900 | 950 | 69 | 70 | 9 | 21 | 55 | 9 | 2 | 22.22% | 8 | 2 | 75.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 20.0% | 4.4% | 91.4% | 95.8 | DULL |
| 5 | Rockets | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 11 | -2 | 1 | 0.250 | 9 | 16 | 25 | 0 | 0 | 85 | 89 | 94 | 8 | 73 | 834 | 900 | 950 | 69 | 70 | 18 | 25 | 61 | 11 | 2 | 18.18% | 8 | 2 | 75.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 43.8% | 12.3% | 84.3% | 96.6 | FUN |
| 6 | Providence Bruins | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 3 | 0.750 | 9 | 15 | 24 | 0 | 0 | 85 | 89 | 94 | 8 | 60 | 834 | 900 | 950 | 69 | 71 | 23 | 24 | 36 | 11 | 4 | 36.36% | 12 | 1 | 91.67% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 41.7% | 15.0% | 88.7% | 103.7 | FUN |
| 7 | Wolves | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 13 | 14 | -1 | 5 | 0.625 | 13 | 26 | 39 | 0 | 0 | 85 | 89 | 94 | 8 | 130 | 834 | 900 | 950 | 69 | 145 | 47 | 42 | 104 | 15 | 1 | 6.67% | 18 | 5 | 72.22% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 57.1% | 10.0% | 90.3% | 100.3 | FUN |
| 8 | Eagles | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 85 | 89 | 94 | 8 | 56 | 834 | 900 | 950 | 69 | 79 | 16 | 8 | 49 | 7 | 1 | 14.29% | 4 | 1 | 75.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 62.5% | 10.7% | 94.9% | 105.7 | LUCKY |
| 9 | Phantoms | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 17 | -3 | 2 | 0.250 | 14 | 23 | 37 | 0 | 0 | 85 | 89 | 94 | 8 | 143 | 834 | 900 | 950 | 69 | 147 | 30 | 42 | 103 | 16 | 4 | 25.00% | 20 | 4 | 80.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 43.5% | 9.8% | 88.4% | 98.2 | FUN |
| 10 | Wolf Pack | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 13 | 13 | 0 | 5 | 0.625 | 13 | 25 | 38 | 0 | 0 | 85 | 89 | 94 | 8 | 150 | 834 | 900 | 950 | 69 | 107 | 32 | 29 | 106 | 22 | 3 | 13.64% | 11 | 2 | 81.82% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 47.6% | 8.7% | 87.9% | 96.5 | Unlucky |
| 11 | islanders | 5 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 15 | 11 | 4 | 8 | 0.800 | 15 | 26 | 41 | 1 | 1 | 85 | 89 | 94 | 8 | 149 | 834 | 900 | 950 | 69 | 150 | 42 | 46 | 144 | 12 | 1 | 8.33% | 22 | 3 | 86.36% | 1 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 63.6% | 10.1% | 92.7% | 102.7 | LUCKY |
| 12 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 85 | 89 | 94 | 8 | 59 | 834 | 900 | 950 | 69 | 78 | 19 | 30 | 53 | 6 | 3 | 50.00% | 15 | 3 | 80.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 50.0% | 11.9% | 91.0% | 102.9 | FUN |
| 13 | Griffins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 85 | 89 | 94 | 8 | 65 | 834 | 900 | 950 | 69 | 60 | 24 | 20 | 66 | 4 | 2 | 50.00% | 9 | 1 | 88.89% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 16.7% | 4.6% | 90.0% | 94.6 | Unlucky |
| 14 | Monsters | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 16 | 17 | -1 | 5 | 0.500 | 16 | 28 | 44 | 0 | 0 | 85 | 89 | 94 | 8 | 169 | 834 | 900 | 950 | 69 | 167 | 43 | 30 | 120 | 24 | 6 | 25.00% | 14 | 2 | 85.71% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 40.0% | 9.5% | 89.8% | 99.3 | FUN |
| 15 | Barracuda | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 85 | 89 | 94 | 8 | 69 | 834 | 900 | 950 | 69 | 65 | 17 | 31 | 58 | 13 | 3 | 23.08% | 8 | 0 | 100.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 33.3% | 11.6% | 84.6% | 96.2 | FUN |
| 16 | Condors | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 85 | 89 | 94 | 8 | 59 | 834 | 900 | 950 | 69 | 60 | 18 | 23 | 48 | 5 | 0 | 0.00% | 9 | 3 | 66.67% | 1 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 64.3% | 15.3% | 86.7% | 101.9 | FUN |
| 17 | Iowa Wild | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 7 | 13 | -6 | 1 | 0.167 | 7 | 11 | 18 | 0 | 0 | 85 | 89 | 94 | 8 | 103 | 834 | 900 | 950 | 69 | 95 | 27 | 20 | 70 | 13 | 1 | 7.69% | 10 | 4 | 60.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 40.0% | 6.8% | 86.3% | 93.1 | Unlucky |
| 18 | Reign | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 85 | 89 | 94 | 8 | 98 | 834 | 900 | 950 | 69 | 118 | 35 | 32 | 74 | 12 | 5 | 41.67% | 16 | 2 | 87.50% | 1 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 41.7% | 10.2% | 92.4% | 102.6 | LUCKY |
| 19 | Thunderbirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 85 | 89 | 94 | 8 | 76 | 834 | 900 | 950 | 69 | 77 | 15 | 20 | 46 | 7 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 64.7% | 14.5% | 90.9% | 105.4 | FUN |
| 20 | Wranglers | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 85 | 89 | 94 | 8 | 92 | 834 | 900 | 950 | 69 | 117 | 35 | 26 | 74 | 15 | 1 | 6.67% | 12 | 3 | 75.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 55.6% | 6.5% | 94.0% | 100.5 | DULL |
| 21 | Gulls | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 85 | 89 | 94 | 8 | 58 | 834 | 900 | 950 | 69 | 73 | 28 | 22 | 51 | 5 | 0 | 0.00% | 11 | 0 | 100.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 25.0% | 3.4% | 91.8% | 95.2 | DULL |
| 22 | Texas Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 85 | 89 | 94 | 8 | 67 | 834 | 900 | 950 | 69 | 70 | 28 | 18 | 47 | 10 | 4 | 40.00% | 9 | 1 | 88.89% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 41.7% | 13.4% | 88.6% | 102.0 | FUN |
| 23 | Canucks | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 85 | 89 | 94 | 8 | 55 | 834 | 900 | 950 | 69 | 55 | 21 | 8 | 43 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 41.7% | 10.9% | 85.5% | 96.4 | FUN |
| 24 | Comets | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 17 | 16 | 1 | 3 | 0.375 | 17 | 29 | 46 | 0 | 0 | 85 | 89 | 94 | 8 | 136 | 834 | 900 | 950 | 69 | 96 | 36 | 41 | 105 | 12 | 5 | 41.67% | 18 | 7 | 61.11% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 57.1% | 12.5% | 83.3% | 95.8 | FUN |
| 25 | W-B/Scranton Penguins | 4 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 15 | 16 | -1 | 5 | 0.625 | 15 | 26 | 41 | 0 | 0 | 85 | 89 | 94 | 8 | 130 | 834 | 900 | 950 | 69 | 162 | 48 | 85 | 96 | 16 | 4 | 25.00% | 23 | 6 | 73.91% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 52.4% | 11.5% | 90.1% | 101.7 | FUN |
| 26 | Roadrunners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 85 | 89 | 94 | 8 | 67 | 834 | 900 | 950 | 69 | 66 | 28 | 25 | 53 | 6 | 2 | 33.33% | 9 | 2 | 77.78% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 45.5% | 10.4% | 87.9% | 98.3 | FUN |
| 27 | Crunch | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 85 | 89 | 94 | 8 | 102 | 834 | 900 | 950 | 69 | 109 | 21 | 44 | 75 | 9 | 4 | 44.44% | 20 | 2 | 90.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 50.0% | 10.8% | 91.7% | 102.5 | LUCKY |
| 28 | Admirals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 85 | 89 | 94 | 8 | 76 | 834 | 900 | 950 | 69 | 65 | 31 | 22 | 56 | 9 | 1 | 11.11% | 11 | 3 | 72.73% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 66.7% | 11.8% | 89.2% | 101.1 | FUN |
| 29 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 85 | 89 | 94 | 8 | 72 | 834 | 900 | 950 | 69 | 55 | 8 | 8 | 50 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 64.3% | 15.3% | 90.9% | 106.2 | FUN |
| 30 | Silver Knights | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 85 | 89 | 94 | 8 | 66 | 834 | 900 | 950 | 69 | 45 | 21 | 8 | 47 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 37.5% | 7.6% | 88.9% | 96.5 | Unlucky |
| 31 | Firebirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 85 | 89 | 94 | 8 | 80 | 834 | 900 | 950 | 69 | 66 | 26 | 23 | 54 | 4 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 50.0% | 7.5% | 89.4% | 96.9 | Unlucky |
| _Vs Division | 30 | 10 | 11 | 0 | 2 | 4 | 2 | 1 | 103 | 104 | -1 | 33 | 0.550 | 103 | 183 | 286 | 1 | 1 | 85 | 89 | 94 | 8 | 1007 | 834 | 900 | 950 | 69 | 974 | 278 | 315 | 778 | 117 | 24 | 20.51% | 126 | 29 | 76.98% | 1 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 51.3% | 10.2% | 89.3% | 99.6 | FUN | |
| _Vs Conference | 47 | 14 | 18 | 0 | 3 | 8 | 2 | 2 | 156 | 168 | -12 | 48 | 0.511 | 156 | 277 | 433 | 1 | 1 | 85 | 89 | 94 | 8 | 1581 | 834 | 900 | 950 | 69 | 1545 | 435 | 520 | 1232 | 184 | 40 | 21.74% | 209 | 40 | 80.86% | 1 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 47.5% | 9.9% | 89.1% | 99.0 | FUN | |
| _Since Last GM Reset | 82 | 29 | 34 | 0 | 5 | 9 | 2 | 3 | 275 | 287 | -12 | 84 | 0.512 | 275 | 495 | 770 | 1 | 1 | 85 | 89 | 94 | 8 | 2734 | 834 | 900 | 950 | 69 | 2729 | 808 | 844 | 2105 | 316 | 66 | 20.89% | 354 | 65 | 81.64% | 3 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 48.5% | 10.1% | 89.5% | 99.5 | FUN | |
| Total | 82 | 29 | 34 | 0 | 5 | 9 | 2 | 3 | 275 | 287 | -12 | 84 | 0.512 | 275 | 495 | 770 | 1 | 1 | 85 | 89 | 94 | 8 | 2734 | 834 | 900 | 950 | 69 | 2729 | 808 | 844 | 2105 | 316 | 66 | 20.89% | 354 | 65 | 81.64% | 3 | 1460 | 2879 | 50.71% | 1382 | 2912 | 47.46% | 685 | 1376 | 49.78% | 1950 | 1300 | 1915 | 639 | 1105 | 549 | 48.5% | 10.1% | 89.5% | 99.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2879 |
| Neutral Zone Start | 1376 |
| Defensive Zone Start | 2912 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3527 |
| Faceoffs Lost | 3640 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.2 | 9.57 |
| 2nd Period | 21.1 | 20.31 |
| 3rd Period | 32.7 | 30.68 |
| Overtime | 33.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 3.3 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 205 |
|---|---|
| PP Goal | 66 |
| PK Goal | 3 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 22 | 14 |
| Lost | 14 | 20 |
| Overtime Lost | 5 | 7 |
| PP Attempt | 316 |
|---|---|
| PP Goal | 66 |
| PK Attempt | 354 |
| PK Goal Against | 65 |
| Home | |
|---|---|
| Shots For | 33.3 |
| Shots Against | 33.3 |
| Goals For | 3.4 |
| Goals Against | 3.5 |
| Hits | 25.7 |
| Shots Blocked | 9.9 |
| Pim | 10.3 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,554,166$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Hershey | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 30$ | 20$ | $ | $ | $ |
| Attendance | 78439 | 27776 | |||
| Attendance PCT | 95.66% | 67.75% | 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 | 2591 - 86.35% | 105,706$ | 4,333,949$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,554,166$ | 2,552,916$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,598,296$ | 0$ | 2,576,316$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 14,269$ | 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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