*** Dernier droit pour les séries ou le mix ... Bonne chance!!!! ***
Last update: 2025-04-19 22:29:39
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rocco Grimaldi | 0 | LW/RW | 100.00 | 55 | 64 | 66 | 67 | 55 | 69 | 67 | 68 | 55 | 63 | 67 | 61 | 62 | 70 | 62 | 0 | 50 | 67 | 32 | 2,000,000$/1yrs | |||
Zac Dalpe | 0 | C | 100.00 | 57 | 64 | 68 | 63 | 69 | 68 | 65 | 60 | 70 | 59 | 61 | 64 | 55 | 76 | 65 | 0 | 50 | 65 | 35 | 775,000$/2yrs | |||
Taylor Ward | 0 | RW | 100.00 | 56 | 55 | 66 | 61 | 68 | 69 | 67 | 60 | 55 | 59 | 58 | 64 | 58 | 62 | 57 | 0 | 50 | 64 | 27 | 775,000$/2yrs | |||
Brad Lambert | 0 | C/RW | 100.00 | 56 | 55 | 68 | 63 | 65 | 66 | 64 | 63 | 56 | 62 | 61 | 63 | 60 | 54 | 52 | 0 | 50 | 64 | 21 | 1,168,333$/3yrs | |||
Brian Halonen | 0 | C | 100.00 | 56 | 57 | 69 | 60 | 69 | 64 | 62 | 60 | 56 | 57 | 61 | 63 | 55 | 60 | 56 | 0 | 50 | 63 | 26 | 925,000$/3yrs | |||
Andy Andreoff | 0 | C/LW | 100.00 | 53 | 56 | 61 | 59 | 64 | 64 | 62 | 61 | 66 | 56 | 64 | 54 | 51 | 68 | 60 | 0 | 50 | 63 | 33 | 762,500$/1yrs | |||
Zack Bolduc (R) | 0 | C | 100.00 | 58 | 48 | 72 | 64 | 66 | 63 | 59 | 58 | 52 | 58 | 59 | 63 | 52 | 52 | 52 | 0 | 50 | 63 | 22 | 1,275,833$/3yrs | |||
Jagger Joshua | 0 | LW | 100.00 | 58 | 59 | 64 | 58 | 70 | 64 | 63 | 58 | 55 | 57 | 57 | 64 | 54 | 60 | 56 | 0 | 50 | 62 | 26 | 750,000$/1yrs | |||
Carter Savoie | 0 | C/LW | 100.00 | 55 | 59 | 68 | 58 | 62 | 66 | 65 | 58 | 55 | 56 | 58 | 63 | 55 | 55 | 53 | 0 | 50 | 62 | 23 | 925,000$/1yrs | |||
Josh Lopina | 0 | C | 100.00 | 55 | 57 | 68 | 58 | 69 | 68 | 66 | 58 | 70 | 56 | 58 | 61 | 54 | 56 | 54 | 0 | 50 | 62 | 24 | 925,000$/2yrs | |||
Andre Lee | 0 | C/LW | 100.00 | 56 | 56 | 67 | 56 | 73 | 63 | 62 | 56 | 55 | 55 | 57 | 62 | 54 | 58 | 55 | 0 | 50 | 61 | 24 | 925,000$/3yrs | |||
Kevin Connauton | 0 | D | 100.00 | 56 | 55 | 64 | 60 | 70 | 67 | 65 | 57 | 40 | 57 | 55 | 66 | 54 | 76 | 65 | 0 | 50 | 63 | 35 | 762,500$/1yrs | |||
Adam Ginning | 0 | D | 100.00 | 59 | 53 | 66 | 59 | 74 | 68 | 66 | 57 | 41 | 58 | 56 | 66 | 55 | 58 | 56 | 0 | 50 | 63 | 25 | 925,000$/3yrs | |||
Jonathan Aspirot | 0 | D | 100.00 | 57 | 58 | 64 | 59 | 67 | 67 | 66 | 60 | 40 | 60 | 56 | 63 | 54 | 60 | 56 | 0 | 50 | 63 | 25 | 750,000$/2yrs | |||
Adam Wilsby | 0 | D | 100.00 | 55 | 57 | 68 | 59 | 67 | 68 | 65 | 58 | 40 | 58 | 56 | 65 | 54 | 58 | 55 | 0 | 50 | 63 | 24 | 842,500$/2yrs | |||
Robin Salo | 0 | D | 100.00 | 56 | 53 | 69 | 61 | 66 | 67 | 64 | 58 | 40 | 59 | 56 | 63 | 54 | 61 | 57 | 0 | 50 | 63 | 26 | 800,000$/1yrs | |||
Cole Clayton | 0 | D | 100.00 | 55 | 55 | 67 | 58 | 71 | 66 | 64 | 57 | 40 | 57 | 56 | 63 | 54 | 58 | 55 | 0 | 50 | 62 | 25 | 750,000$/2yrs | |||
Uvis Balinskis | 0 | D | 100.00 | 58 | 48 | 72 | 58 | 68 | 63 | 58 | 54 | 39 | 57 | 54 | 67 | 52 | 59 | 57 | 0 | 50 | 62 | 28 | 950,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Lukas Reichel | 0 | C/LW | 100.00 | 63 | 45 | 83 | 71 | 62 | 69 | 69 | 62 | 62 | 63 | 63 | 62 | 57 | 57 | 57 | 0 | 50 | 67 | 22 | 1,337,500$/3yrs | |||
Wilmer Skoog | 0 | C | 100.00 | 52 | 54 | 66 | 57 | 67 | 62 | 60 | 57 | 52 | 54 | 59 | 61 | 51 | 58 | 53 | 0 | 50 | 61 | 25 | 950,000$/2yrs | |||
Tanner Dickinson (R) | 0 | C | 100.00 | 52 | 51 | 67 | 52 | 61 | 55 | 54 | 52 | 67 | 51 | 52 | 57 | 51 | 52 | 50 | 0 | 50 | 56 | 23 | 878,333$/2yrs | |||
Lleyton Roed | 0 | C | 100.00 | 52 | 51 | 67 | 52 | 62 | 52 | 52 | 51 | 52 | 51 | 51 | 56 | 51 | 52 | 50 | 0 | 50 | 55 | 22 | 950,000$/3yrs | |||
Colton Poolman | 0 | D | 100.00 | 54 | 56 | 68 | 58 | 67 | 68 | 65 | 55 | 40 | 55 | 55 | 65 | 54 | 67 | 60 | 0 | 50 | 62 | 29 | 775,000$/1yrs | |||
Dawson Barteaux | 0 | D | 100.00 | 54 | 55 | 69 | 56 | 67 | 61 | 60 | 57 | 40 | 57 | 55 | 64 | 54 | 58 | 55 | 0 | 50 | 61 | 25 | 783,333$/1yrs | |||
Patrik Koch | 0 | D | 100.00 | 56 | 52 | 62 | 58 | 67 | 66 | 65 | 55 | 39 | 56 | 52 | 63 | 52 | 64 | 57 | 0 | 50 | 61 | 28 | 847,500$/2yrs | |||
John Parker-Jones | 0 | D | 100.00 | 55 | 54 | 69 | 54 | 65 | 55 | 55 | 54 | 40 | 54 | 54 | 59 | 54 | 58 | 55 | 0 | 50 | 59 | 25 | 775,000$/1yrs | |||
Filip Kral | 0 | D | 100.00 | 52 | 50 | 64 | 53 | 63 | 56 | 55 | 52 | 38 | 52 | 52 | 57 | 51 | 55 | 52 | 0 | 50 | 57 | 25 | 775,000$/2yrs | |||
Luke Krys | 0 | D | 100.00 | 53 | 52 | 66 | 52 | 66 | 53 | 53 | 51 | 38 | 51 | 51 | 57 | 51 | 56 | 52 | 0 | 50 | 56 | 24 | 950,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nikita Tolopilo | 0 | 100.00 | 64 | 65 | 64 | 70 | 64 | 52 | 65 | 65 | 57 | 61 | 56 | 55 | 51 | 0 | 50 | 63 | 25 | 950,000$/2yrs |
Isaac Poulter | 0 | 100.00 | 62 | 62 | 61 | 58 | 63 | 62 | 66 | 61 | 57 | 59 | 54 | 53 | 50 | 0 | 50 | 62 | 23 | 812,500$/2yrs |
| Scratches | ||||||||||||||||||||
Dylan Wells | 0 | 100.00 | 59 | 60 | 60 | 63 | 65 | 56 | 67 | 61 | 60 | 61 | 66 | 61 | 56 | 0 | 50 | 62 | 27 | 750,000$/1yrs |
Dylan Ferguson | 60 | 100.00 | 56 | 54 | 54 | 66 | 62 | 53 | 63 | 56 | 55 | 53 | 62 | 57 | 52 | 0 | 50 | 58 | 26 | 750,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Joel Bouchard | 71 | 68 | 69 | 65 | 74 | 69 | 78 | CAN | 50 | 3 | 750,000$ |
| 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 | Rocco Grimaldi | IceHogs (CHI) | LW/RW | 82 | 44 | 48 | 92 | -3 | 47 | 5 | 137 | 358 | 87 | 274 | 12.29% | 27 | 21.26 | 15 | 17 | 32 | 1 | 1 | 2 | 213 | 9 | 3 | 47.31% | 0 | 1 | 1.12 | 1 | 3 | 1.11 | |||
| 2 | Lukas Reichel | IceHogs (CHI) | C/LW | 77 | 26 | 51 | 77 | 2 | 48 | 0 | 113 | 253 | 76 | 178 | 10.28% | 22 | 20.70 | 5 | 15 | 20 | 1 | 1 | 2 | 189 | 4 | 0 | 47.77% | 0 | 0 | 1.00 | 2 | 5 | 0.90 | |||
| 3 | Zac Dalpe | IceHogs (CHI) | C | 82 | 30 | 44 | 74 | 2 | 34 | 0 | 131 | 257 | 72 | 175 | 11.67% | 21 | 20.12 | 11 | 17 | 28 | 0 | 1 | 1 | 230 | 4 | 1 | 56.92% | 0 | 1 | 0.90 | 0 | 1 | 0.88 | |||
| 4 | Brad Lambert | IceHogs (CHI) | C/RW | 82 | 37 | 35 | 72 | -21 | 46 | 0 | 136 | 284 | 76 | 202 | 13.03% | 22 | 21.17 | 8 | 11 | 19 | 1 | 1 | 2 | 230 | 1 | 1 | 41.49% | 0 | 1 | 0.88 | 2 | 4 | 0.76 | |||
| 5 | Taylor Ward | IceHogs (CHI) | RW | 82 | 34 | 33 | 67 | -4 | 42 | 0 | 137 | 268 | 89 | 206 | 12.69% | 17 | 18.63 | 9 | 9 | 18 | 0 | 0 | 0 | 105 | 5 | 0 | 48.91% | 0 | 1 | 0.82 | 1 | 1 | 0.81 | |||
| 6 | Adam Wilsby | IceHogs (CHI) | D | 74 | 15 | 44 | 59 | 9 | 62 | 0 | 157 | 119 | 48 | 86 | 12.61% | 89 | 20.93 | 3 | 13 | 16 | 1 | 1 | 2 | 191 | 1 | 0 | 0.00% | 0 | 0 | 0.80 | 0 | 0 | 0.68 | |||
| 7 | Jonathan Aspirot | IceHogs (CHI) | D | 77 | 11 | 46 | 57 | -4 | 81 | 5 | 135 | 123 | 39 | 86 | 8.94% | 129 | 21.59 | 4 | 15 | 19 | 0 | 0 | 0 | 204 | 0 | 1 | 0.00% | 0 | 0 | 0.74 | 0 | 0 | 0.55 | |||
| 8 | Kevin Connauton | IceHogs (CHI) | D | 82 | 9 | 41 | 50 | -23 | 56 | 0 | 157 | 117 | 47 | 85 | 7.69% | 126 | 22.23 | 7 | 13 | 20 | 0 | 1 | 1 | 222 | 0 | 2 | 0.00% | 0 | 0 | 0.61 | 0 | 0 | 0.43 | |||
| 9 | Adam Ginning | IceHogs (CHI) | D | 84 | 13 | 35 | 48 | -3 | 56 | 0 | 152 | 131 | 41 | 101 | 9.92% | 120 | 21.56 | 5 | 12 | 17 | 0 | 0 | 0 | 253 | 2 | 0 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.50 | |||
| 10 | Robin Salo | IceHogs (CHI) | D | 78 | 8 | 36 | 44 | 0 | 52 | 0 | 135 | 88 | 49 | 64 | 9.09% | 121 | 21.06 | 2 | 8 | 10 | 0 | 0 | 0 | 193 | 0 | 0 | 0.00% | 0 | 0 | 0.56 | 0 | 0 | 0.48 | |||
| 11 | Andy Andreoff | IceHogs (CHI) | C/LW | 81 | 19 | 22 | 41 | -16 | 40 | 0 | 120 | 179 | 38 | 99 | 10.61% | 14 | 16.21 | 9 | 6 | 15 | 0 | 0 | 0 | 0 | 2 | 1 | 50.93% | 0 | 0 | 0.51 | 0 | 4 | 0.41 | |||
| 12 | Zack Bolduc | IceHogs (CHI) | C | 76 | 12 | 28 | 40 | 6 | 22 | 0 | 76 | 153 | 58 | 117 | 7.84% | 6 | 12.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 43.64% | 0 | 0 | 0.53 | 0 | 0 | 0.54 | |||
| 13 | Brian Halonen | IceHogs (CHI) | C | 78 | 15 | 24 | 39 | -17 | 27 | 5 | 86 | 197 | 42 | 137 | 7.61% | 7 | 14.94 | 1 | 2 | 3 | 0 | 0 | 0 | 21 | 1 | 0 | 43.13% | 0 | 0 | 0.50 | 0 | 0 | 0.45 | |||
| 14 | Josh Lopina | IceHogs (CHI) | C | 80 | 11 | 26 | 37 | -6 | 20 | 0 | 76 | 145 | 56 | 99 | 7.59% | 9 | 13.35 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 54.16% | 0 | 0 | 0.46 | 0 | 0 | 0.43 | |||
| 15 | Carter Savoie | IceHogs (CHI) | C/LW | 78 | 12 | 13 | 25 | -13 | 18 | 0 | 49 | 88 | 17 | 57 | 13.64% | 6 | 7.97 | 2 | 3 | 5 | 0 | 0 | 0 | 27 | 0 | 0 | 46.09% | 0 | 0 | 0.32 | 0 | 0 | 0.23 | |||
| 16 | Cole Clayton | IceHogs (CHI) | D | 52 | 2 | 15 | 17 | -21 | 32 | 0 | 84 | 38 | 15 | 28 | 5.26% | 48 | 15.03 | 1 | 1 | 2 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.11 | |||
| 17 | Colton Poolman | IceHogs (CHI) | D | 37 | 2 | 13 | 15 | -3 | 8 | 0 | 45 | 28 | 1 | 17 | 7.14% | 44 | 16.05 | 0 | 2 | 2 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0.41 | 0 | 0 | 0.34 | |||
| 18 | Uvis Balinskis | IceHogs (CHI) | D | 65 | 1 | 14 | 15 | -1 | 18 | 0 | 53 | 34 | 11 | 17 | 2.94% | 34 | 7.95 | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.18 | |||
| 19 | Jagger Joshua | IceHogs (CHI) | LW | 79 | 10 | 4 | 14 | -20 | 31 | 5 | 63 | 92 | 22 | 72 | 10.87% | 13 | 8.68 | 0 | 1 | 1 | 0 | 0 | 0 | 34 | 0 | 1 | 41.86% | 0 | 0 | 0.18 | 0 | 0 | 0.09 | |||
| 20 | Wilmer Skoog | IceHogs (CHI) | C | 38 | 4 | 2 | 6 | -1 | 0 | 0 | 6 | 9 | 4 | 10 | 44.44% | 1 | 2.80 | 1 | 2 | 3 | 0 | 0 | 0 | 18 | 0 | 0 | 40.63% | 0 | 0 | 0.16 | 0 | 0 | 0.12 | |||
| 21 | Andre Lee | IceHogs (CHI) | C/LW | 22 | 1 | 1 | 2 | -3 | 0 | 0 | 5 | 9 | 0 | 5 | 11.11% | 1 | 3.17 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 60.00% | 0 | 0 | 0.09 | 0 | 0 | 0.06 | |||
| 22 | Tanner Dickinson | IceHogs (CHI) | C | 11 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 1.17 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 40.00% | 0 | 0 | 0.09 | 0 | 0 | 0.07 | |||
| 23 | Filip Kral | IceHogs (CHI) | D | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 1 | 5.46 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | |||
| Team Total or Average | 1500 | 316 | 576 | 892 | -141 | 740 | 20 | 2055 | 2972 | 888 | 2116 | 10.63% | 878 | 16.45 | 83 | 149 | 232 | 2823 | 4 | 6 | 10 | 2232 | 32 | 11 | 50.88% | 7441 | 0 | 0 | 0 | 4 | 0.72 | 6 | 18 |
| 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 | Nikita Tolopilo | IceHogs (CHI) | 64 | 25 | 26 | 8 | 0.888 | 4.01 | 3640 | 2 | 0 | 243 | 2166 | 0 | 4 | 2 | 0.667 | 12 | 63 | 11 | 1 | 2 | 1 |
| 2 | Isaac Poulter | IceHogs (CHI) | 25 | 10 | 9 | 4 | 0.885 | 4.03 | 1265 | 2 | 0 | 85 | 741 | 0 | 0 | 1 | 0.667 | 6 | 19 | 60 | 0 | 0 | 0 |
| 3 | Dylan Wells | IceHogs (CHI) | 2 | 0 | 0 | 0 | 0.973 | 0.98 | 61 | 0 | 0 | 1 | 37 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
| Team Total or Average | 91 | 35 | 35 | 12 | 0.888 | 3.97 | 4967 | 4 | 0 | 329 | 2944 | 0 | 4 | 3 | 0.667 | 18 | 82 | 82 | 1 | 2 | 1 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ginning ![]() | D | 25 | 925,000$ | 925,000$ | 787,500$ | 787,500$ | UFA | ||||
Adam Wilsby | D | 24 | 842,500$ | 842,500$ | 775,000$ | UFA | |||||
Andre Lee | C/LW | 24 | 925,000$ | 925,000$ | 775,000$ | 775,000$ | UFA | ||||
Andy Andreoff ![]() | C/LW | 33 | 762,500$ | 762,500$ | UFA | ||||||
Brad Lambert | C/RW | 21 | 1,168,333$ | 1,168,333$ | 1,168,333$ | 1,168,333$ | RFA | ||||
Brian Halonen ![]() | C | 26 | 925,000$ | 925,000$ | 775,000$ | 775,000$ | UFA | ||||
Carter Savoie | C/LW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Cole Clayton ![]() | D | 25 | 750,000$ | 810,000$ | 810,000$ | UFA | |||||
Colton Poolman ![]() | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Dawson Barteaux ![]() | D | 25 | 783,333$ | 783,333$ | RFA | ||||||
Dylan Ferguson ![]() | G | 26 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Dylan Wells ![]() | G | 27 | 750,000$ | 750,000$ | UFA | ||||||
Filip Kral ![]() | D | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Isaac Poulter | G | 23 | 812,500$ | 812,500$ | 812,500$ | RFA | |||||
Jagger Joshua ![]() | LW | 26 | 750,000$ | 750,000$ | UFA | ||||||
John Parker-Jones ![]() | D | 25 | 775,000$ | 775,000$ | RFA | ||||||
Jonathan Aspirot ![]() | D | 25 | 750,000$ | 775,000$ | 775,000$ | UFA | |||||
Josh Lopina | C | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Kevin Connauton ![]() | D | 35 | 762,500$ | 762,500$ | UFA | ||||||
Lleyton Roed | C | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Lukas Reichel | C/LW | 22 | 1,337,500$ | 1,337,500$ | 1,200,000$ | 1,200,000$ | RFA | ||||
Luke Krys | D | 24 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | UFA | ||||
Nikita Tolopilo ![]() | G | 25 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Patrik Koch ![]() | D | 28 | 847,500$ | 847,500$ | 775,000$ | UFA | |||||
Robin Salo ![]() | D | 26 | 800,000$ | 800,000$ | UFA | ||||||
Rocco Grimaldi ![]() | LW/RW | 32 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Tanner Dickinson | C | 23 | 878,333$ | 878,333$ | 878,333$ | RFA | |||||
Taylor Ward ![]() | RW | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Uvis Balinskis ![]() | D | 28 | 950,000$ | 950,000$ | 850,000$ | 850,000$ | UFA | ||||
Wilmer Skoog ![]() | C | 25 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Zac Dalpe ![]() | C | 35 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Zack Bolduc | C | 22 | 1,275,833$ | 1,275,833$ | 1,275,833$ | 1,275,833$ | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 131 | 96 | 78 | 14 | 29 | 987 | 914 | 991 | 66 | 30 | 8 | 2 | 11 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 33.3% | 10.3% | 93.3% | 103.7 | LUCKY |
| 2 | Marlies | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 131 | 96 | 78 | 14 | 32 | 987 | 914 | 991 | 66 | 49 | 7 | 12 | 27 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 57.1% | 15.6% | 91.8% | 107.5 | LUCKY |
| 3 | Americans | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 19 | -1 | 4 | 0.500 | 18 | 34 | 52 | 0 | 0 | 131 | 96 | 78 | 14 | 145 | 987 | 914 | 991 | 66 | 144 | 40 | 32 | 92 | 20 | 4 | 20.00% | 14 | 4 | 71.43% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 48.3% | 12.4% | 86.8% | 99.2 | FUN |
| 4 | Binghamton Senateurs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 131 | 96 | 78 | 14 | 32 | 987 | 914 | 991 | 66 | 37 | 8 | 12 | 15 | 5 | 4 | 80.00% | 6 | 0 | 100.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 50.0% | 18.8% | 94.6% | 113.3 | LUCKY |
| 5 | Bears | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 131 | 96 | 78 | 14 | 35 | 987 | 914 | 991 | 66 | 28 | 6 | 2 | 21 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 37.5% | 11.4% | 82.1% | 93.6 | FUN |
| 6 | Rockets | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 131 | 96 | 78 | 14 | 55 | 987 | 914 | 991 | 66 | 78 | 25 | 14 | 49 | 9 | 1 | 11.11% | 6 | 1 | 83.33% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 40.0% | 9.1% | 91.0% | 100.1 | FUN |
| 7 | Providence Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 131 | 96 | 78 | 14 | 25 | 987 | 914 | 991 | 66 | 52 | 17 | 18 | 16 | 1 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 25.0% | 4.0% | 90.4% | 94.4 | Unlucky |
| 8 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 131 | 96 | 78 | 14 | 21 | 987 | 914 | 991 | 66 | 32 | 13 | 20 | 22 | 2 | 1 | 50.00% | 10 | 2 | 80.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 50.0% | 14.3% | 87.5% | 101.8 | FUN |
| 9 | Eagles | 5 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 19 | 18 | 1 | 7 | 0.700 | 19 | 30 | 49 | 0 | 0 | 131 | 96 | 78 | 14 | 155 | 987 | 914 | 991 | 66 | 152 | 44 | 30 | 136 | 23 | 5 | 21.74% | 15 | 3 | 80.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 48.3% | 12.3% | 88.2% | 100.4 | FUN |
| 10 | Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 131 | 96 | 78 | 14 | 50 | 987 | 914 | 991 | 66 | 42 | 11 | 14 | 27 | 9 | 3 | 33.33% | 5 | 1 | 80.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 16.7% | 8.0% | 85.7% | 93.7 | Unlucky |
| 11 | Wolf Pack | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 131 | 96 | 78 | 14 | 25 | 987 | 914 | 991 | 66 | 51 | 18 | 8 | 19 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 1 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 50.0% | 16.0% | 90.2% | 106.2 | FUN |
| 12 | islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 131 | 96 | 78 | 14 | 29 | 987 | 914 | 991 | 66 | 33 | 7 | 10 | 28 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 37.5% | 13.8% | 84.8% | 98.6 | FUN |
| 13 | Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 131 | 96 | 78 | 14 | 39 | 987 | 914 | 991 | 66 | 28 | 13 | 6 | 24 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 66.7% | 12.8% | 85.7% | 98.5 | FUN |
| 14 | Monsters | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 7 | -1 | 1 | 0.500 | 6 | 12 | 18 | 0 | 0 | 131 | 96 | 78 | 14 | 32 | 987 | 914 | 991 | 66 | 35 | 12 | 10 | 29 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 45.5% | 18.8% | 80.0% | 98.8 | FUN |
| 15 | Barracuda | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 11 | 1 | 4 | 0.667 | 12 | 20 | 32 | 0 | 0 | 131 | 96 | 78 | 14 | 128 | 987 | 914 | 991 | 66 | 102 | 35 | 36 | 91 | 10 | 1 | 10.00% | 18 | 3 | 83.33% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 57.9% | 9.4% | 89.2% | 98.6 | FUN |
| 16 | Condors | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 12 | 15 | -3 | 3 | 0.500 | 12 | 23 | 35 | 0 | 0 | 131 | 96 | 78 | 14 | 111 | 987 | 914 | 991 | 66 | 118 | 37 | 26 | 79 | 8 | 3 | 37.50% | 11 | 2 | 81.82% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 40.9% | 10.8% | 87.3% | 98.1 | FUN |
| 17 | Iowa Wild | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 22 | -7 | 2 | 0.200 | 15 | 27 | 42 | 0 | 0 | 131 | 96 | 78 | 14 | 162 | 987 | 914 | 991 | 66 | 176 | 49 | 38 | 113 | 19 | 6 | 31.58% | 17 | 6 | 64.71% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 36.0% | 9.3% | 87.5% | 96.8 | FUN |
| 18 | Reign | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 13 | 16 | -3 | 3 | 0.375 | 13 | 21 | 34 | 0 | 0 | 131 | 96 | 78 | 14 | 132 | 987 | 914 | 991 | 66 | 140 | 38 | 30 | 103 | 14 | 2 | 14.29% | 13 | 3 | 76.92% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 45.8% | 9.8% | 88.6% | 98.4 | FUN |
| 19 | Thunderbirds | 5 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 14 | 18 | -4 | 3 | 0.300 | 14 | 24 | 38 | 1 | 0 | 131 | 96 | 78 | 14 | 199 | 987 | 914 | 991 | 66 | 163 | 53 | 48 | 125 | 24 | 3 | 12.50% | 21 | 4 | 80.95% | 2 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 44.0% | 7.0% | 89.0% | 96.0 | Unlucky |
| 20 | Wranglers | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 13 | 10 | 3 | 6 | 1.000 | 13 | 23 | 36 | 0 | 0 | 131 | 96 | 78 | 14 | 126 | 987 | 914 | 991 | 66 | 146 | 37 | 27 | 93 | 15 | 4 | 26.67% | 11 | 3 | 72.73% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 56.3% | 10.3% | 93.2% | 103.5 | LUCKY |
| 21 | Gulls | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 14 | 12 | 2 | 5 | 0.833 | 14 | 27 | 41 | 0 | 0 | 131 | 96 | 78 | 14 | 132 | 987 | 914 | 991 | 66 | 84 | 31 | 18 | 75 | 10 | 3 | 30.00% | 6 | 0 | 100.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 47.8% | 10.6% | 85.7% | 96.3 | FUN |
| 22 | Texas Stars | 7 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 21 | 34 | -13 | 2 | 0.143 | 21 | 38 | 59 | 1 | 0 | 131 | 96 | 78 | 14 | 245 | 987 | 914 | 991 | 66 | 280 | 79 | 58 | 152 | 21 | 4 | 19.05% | 28 | 8 | 71.43% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 39.5% | 8.6% | 87.9% | 96.4 | Unlucky |
| 23 | Canucks | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 13 | 2 | 4 | 0.667 | 15 | 27 | 42 | 0 | 0 | 131 | 96 | 78 | 14 | 111 | 987 | 914 | 991 | 66 | 90 | 21 | 30 | 69 | 13 | 2 | 15.38% | 14 | 5 | 64.29% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 61.9% | 13.5% | 85.6% | 99.1 | FUN |
| 24 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 14 | 21 | 0 | 0 | 131 | 96 | 78 | 14 | 52 | 987 | 914 | 991 | 66 | 37 | 3 | 15 | 28 | 7 | 3 | 42.86% | 1 | 0 | 100.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 66.7% | 13.5% | 94.6% | 108.1 | LUCKY |
| 25 | W-B/Scranton Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 2 | 1.000 | 8 | 14 | 22 | 0 | 0 | 131 | 96 | 78 | 14 | 38 | 987 | 914 | 991 | 66 | 58 | 10 | 10 | 32 | 3 | 3 | 100.00% | 4 | 1 | 75.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 83.3% | 21.1% | 96.6% | 117.6 | LUCKY |
| 26 | Roadrunners | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 21 | -3 | 4 | 0.400 | 18 | 34 | 52 | 1 | 0 | 131 | 96 | 78 | 14 | 186 | 987 | 914 | 991 | 66 | 180 | 52 | 38 | 128 | 17 | 3 | 17.65% | 17 | 3 | 82.35% | 1 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 45.5% | 9.7% | 88.3% | 98.0 | FUN |
| 27 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 131 | 96 | 78 | 14 | 24 | 987 | 914 | 991 | 66 | 33 | 8 | 4 | 27 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 37.5% | 16.7% | 84.8% | 101.5 | FUN |
| 28 | Admirals | 5 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 23 | 28 | -5 | 4 | 0.400 | 23 | 39 | 62 | 0 | 0 | 131 | 96 | 78 | 14 | 187 | 987 | 914 | 991 | 66 | 200 | 48 | 62 | 134 | 25 | 9 | 36.00% | 22 | 10 | 54.55% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 43.8% | 12.3% | 86.0% | 98.3 | FUN |
| 29 | Moose | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 17 | 14 | 3 | 6 | 0.600 | 17 | 29 | 46 | 0 | 0 | 131 | 96 | 78 | 14 | 164 | 987 | 914 | 991 | 66 | 148 | 57 | 44 | 99 | 27 | 6 | 22.22% | 21 | 2 | 90.48% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 47.8% | 10.4% | 90.5% | 100.9 | FUN |
| 30 | Silver Knights | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 11 | 8 | 3 | 5 | 0.833 | 11 | 18 | 29 | 0 | 0 | 131 | 96 | 78 | 14 | 114 | 987 | 914 | 991 | 66 | 93 | 25 | 28 | 66 | 6 | 3 | 50.00% | 14 | 1 | 92.86% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 53.3% | 9.6% | 91.4% | 101.0 | LUCKY |
| 31 | Firebirds | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 11 | 1 | 4 | 0.667 | 12 | 22 | 34 | 0 | 0 | 131 | 96 | 78 | 14 | 125 | 987 | 914 | 991 | 66 | 108 | 35 | 20 | 78 | 12 | 1 | 8.33% | 10 | 1 | 90.00% | 0 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 52.4% | 9.6% | 89.8% | 99.4 | FUN |
| _Vs Division | 37 | 9 | 21 | 0 | 2 | 3 | 1 | 1 | 127 | 155 | -28 | 28 | 0.378 | 127 | 221 | 348 | 3 | 0 | 131 | 96 | 78 | 14 | 1298 | 987 | 914 | 991 | 66 | 1299 | 382 | 318 | 887 | 156 | 36 | 23.08% | 141 | 36 | 74.47% | 3 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 43.3% | 9.8% | 88.1% | 97.9 | FUN | |
| _Vs Conference | 62 | 17 | 27 | 0 | 7 | 5 | 3 | 3 | 229 | 251 | -22 | 62 | 0.500 | 229 | 402 | 631 | 3 | 0 | 131 | 96 | 78 | 14 | 2277 | 987 | 914 | 991 | 66 | 2180 | 641 | 533 | 1541 | 244 | 55 | 22.54% | 238 | 54 | 77.31% | 3 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 46.9% | 10.1% | 88.5% | 98.5 | FUN | |
| _Since Last GM Reset | 82 | 24 | 35 | 0 | 8 | 9 | 3 | 3 | 316 | 335 | -19 | 82 | 0.500 | 316 | 565 | 881 | 3 | 0 | 131 | 96 | 78 | 14 | 2940 | 987 | 914 | 991 | 66 | 2947 | 847 | 722 | 2008 | 332 | 82 | 24.70% | 318 | 70 | 77.99% | 4 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 46.9% | 10.7% | 88.6% | 99.4 | FUN | |
| Total | 82 | 24 | 35 | 0 | 8 | 9 | 3 | 3 | 316 | 335 | -19 | 82 | 0.500 | 316 | 565 | 881 | 3 | 0 | 131 | 96 | 78 | 14 | 2940 | 987 | 914 | 991 | 66 | 2947 | 847 | 722 | 2008 | 332 | 82 | 24.70% | 318 | 70 | 77.99% | 4 | 1572 | 2978 | 52.79% | 1467 | 2894 | 50.69% | 747 | 1472 | 50.75% | 1899 | 1273 | 1961 | 645 | 1114 | 547 | 46.9% | 10.7% | 88.6% | 99.4 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2978 |
| Neutral Zone Start | 1472 |
| Defensive Zone Start | 2894 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3786 |
| Faceoffs Lost | 3558 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.0 | 9.57 |
| 2nd Period | 23.2 | 20.31 |
| 3rd Period | 35.3 | 30.68 |
| Overtime | 36.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.6 | 0.64 |
| 2nd Period | 2.8 | 1.65 |
| 3rd Period | 3.7 | 2.67 |
| Overtime | 3.9 | 2.83 |
| Even Strenght Goal | 227 |
|---|---|
| PP Goal | 82 |
| PK Goal | 4 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 16 | 19 |
| Lost | 17 | 18 |
| Overtime Lost | 8 | 4 |
| PP Attempt | 332 |
|---|---|
| PP Goal | 82 |
| PK Attempt | 318 |
| PK Goal Against | 70 |
| Home | |
|---|---|
| Shots For | 35.9 |
| Shots Against | 35.9 |
| Goals For | 3.9 |
| Goals Against | 4.1 |
| Hits | 24.5 |
| Shots Blocked | 10.3 |
| Pim | 8.8 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,935,582$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Rockford | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 30$ | 18$ | $ | $ | $ |
| Attendance | 78037 | 31380 | |||
| Attendance PCT | 95.17% | 76.54% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 2669 - 88.96% | 105,607$ | 4,329,870$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,935,582$ | 2,927,082$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,857,362$ | 0$ | 2,840,796$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 15,132$ | 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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