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Full Scoreboard »» |
| Henderson Silver Knights 17-10-3, 37pts · 5th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Josh Samanski | 0 | C/LW | 98.00 | 71 | 39 | 81 | 61 | 78 | 68 | 88 | 59 | 68 | 62 | 60 | 64 | 61 | 63 | 61 | 0 | 36 | 71 | 23 | 975,000$/2yrs | |||
Ethan Cardwell (R) | 0 | RW | 99.00 | 69 | 40 | 76 | 59 | 76 | 66 | 71 | 61 | 48 | 60 | 58 | 64 | 59 | 63 | 60 | 0 | 34 | 70 | 23 | 867,500$/1yrs | |||
John Farinacci (R) | 0 | C | 99.00 | 58 | 38 | 93 | 57 | 75 | 66 | 69 | 62 | 47 | 60 | 55 | 65 | 57 | 65 | 64 | 0 | 45 | 69 | 24 | 850,000$/2yrs | |||
Jared Davidson (R) | 0 | C | 100.00 | 70 | 39 | 75 | 58 | 72 | 66 | 71 | 61 | 41 | 56 | 60 | 64 | 58 | 63 | 60 | 0 | 49 | 69 | 23 | 800,000$/1yrs | |||
Carter King | 0 | C/LW | 100.00 | 60 | 38 | 87 | 59 | 73 | 68 | 94 | 57 | 69 | 58 | 60 | 66 | 59 | 63 | 62 | 0 | 33 | 69 | 24 | 872,500$/1yrs | |||
Michael Milne (R) | 0 | LW | 100.00 | 71 | 39 | 73 | 57 | 71 | 65 | 69 | 61 | 45 | 55 | 57 | 64 | 56 | 63 | 60 | 0 | 52 | 68 | 23 | 950,000$/3yrs | |||
Jakub Demek (R) | 0 | C/RW | 100.00 | 61 | 39 | 90 | 56 | 83 | 64 | 67 | 60 | 43 | 56 | 55 | 63 | 55 | 61 | 60 | 0 | 33 | 68 | 22 | 851,683$/1yrs | |||
Alexis Gendron (R) | 0 | C | 100.00 | 70 | 39 | 74 | 57 | 71 | 64 | 69 | 60 | 37 | 53 | 59 | 63 | 56 | 61 | 58 | 0 | 52 | 68 | 21 | 860,000$/1yrs | |||
Yegor Sidorov (R) | 0 | RW | 99.00 | 61 | 38 | 89 | 59 | 72 | 65 | 68 | 59 | 49 | 57 | 59 | 62 | 58 | 59 | 58 | 0 | 56 | 68 | 21 | 950,000$/2yrs | |||
Cross Hanas (R) | 0 | LW/RW | 100.00 | 68 | 39 | 78 | 54 | 75 | 63 | 68 | 61 | 41 | 53 | 54 | 65 | 54 | 63 | 60 | 0 | 47 | 67 | 23 | 850,000$/2yrs | |||
Daylan Kuefler (R) | 0 | LW | 100.00 | 80 | 41 | 57 | 53 | 76 | 63 | 66 | 61 | 39 | 54 | 52 | 65 | 53 | 63 | 58 | 0 | 45 | 67 | 23 | 840,000$/1yrs | |||
Ryan Hofer (R) | 0 | C | 100.00 | 63 | 39 | 87 | 53 | 78 | 62 | 66 | 62 | 37 | 52 | 53 | 65 | 52 | 63 | 61 | 0 | 50 | 67 | 23 | 851,667$/1yrs | |||
Charles-Edouard D'Astous | 0 | D | 98.00 | 77 | 41 | 63 | 59 | 78 | 62 | 67 | 57 | 30 | 63 | 56 | 66 | 60 | 65 | 70 | 0 | 46 | 72 | 27 | 775,000$/1yrs | |||
Adam Wilsby (R) | 0 | D | 98.00 | 65 | 32 | 90 | 60 | 75 | 86 | 69 | 53 | 30 | 62 | 56 | 63 | 55 | 66 | 65 | 0 | 41 | 72 | 25 | 800,000$/1yrs | |||
Jake Christiansen (R) | 0 | D | 98.00 | 65 | 36 | 94 | 55 | 75 | 76 | 86 | 50 | 30 | 58 | 53 | 59 | 51 | 67 | 66 | 0 | 53 | 68 | 26 | 850,000$/1yrs | |||
Antti Tuomisto | 0 | D | 100.00 | 68 | 41 | 77 | 51 | 87 | 64 | 66 | 50 | 30 | 57 | 52 | 66 | 55 | 64 | 62 | 0 | 49 | 68 | 24 | 850,000$/1yrs | |||
Elias Salomonsson (R) | 0 | D | 100.00 | 64 | 39 | 84 | 54 | 76 | 64 | 66 | 52 | 30 | 59 | 53 | 63 | 56 | 59 | 58 | 0 | 36 | 68 | 21 | 815,000$/2yrs | |||
Jeremie Biakabutuka | 0 | D | 100.00 | 77 | 41 | 68 | 58 | 82 | 66 | 60 | 55 | 30 | 52 | 50 | 63 | 59 | 59 | 56 | 0 | 28 | 67 | 23 | 825,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Mason Shaw | 0 | C/LW | 100.00 | 73 | 57 | 50 | 55 | 70 | 69 | 68 | 57 | 64 | 58 | 56 | 55 | 57 | 69 | 64 | 0 | 20 | 67 | 27 | 1,000,000$/1yrs | |||
Brady Stonehouse | 0 | LW/RW | 100.00 | 77 | 40 | 67 | 63 | 73 | 67 | 60 | 60 | 37 | 51 | 55 | 61 | 61 | 56 | 53 | 0 | 19 | 67 | 21 | 845,000$/1yrs | |||
Ryder Korczak (R) | 0 | C | 100.00 | 63 | 38 | 86 | 54 | 67 | 63 | 67 | 61 | 39 | 54 | 54 | 65 | 54 | 63 | 61 | 0 | 20 | 67 | 23 | 859,167$/1yrs | |||
Liam Kirk | 0 | C | 100.00 | 86 | 41 | 50 | 62 | 64 | 69 | 60 | 58 | 65 | 52 | 50 | 56 | 71 | 62 | 57 | 0 | 19 | 66 | 25 | 900,000$/1yrs | |||
Danny Zhilkin (R) | 0 | C | 100.00 | 62 | 39 | 87 | 53 | 80 | 62 | 66 | 61 | 58 | 53 | 52 | 64 | 52 | 61 | 59 | 0 | 33 | 66 | 22 | 831,667$/1yrs | |||
Gannon Laroque (R) | 0 | D | 100.00 | 82 | 41 | 62 | 62 | 80 | 66 | 60 | 56 | 30 | 56 | 49 | 60 | 60 | 56 | 52 | 0 | 20 | 68 | 22 | ||||
Santeri Hatakka | 0 | D | 100.00 | 71 | 40 | 73 | 50 | 74 | 64 | 66 | 49 | 30 | 55 | 53 | 66 | 54 | 64 | 62 | 0 | 20 | 67 | 24 | 825,000$/1yrs | |||
Marshall Warren (R) | 0 | D | 100.00 | 69 | 39 | 76 | 50 | 72 | 64 | 66 | 49 | 30 | 55 | 52 | 66 | 54 | 64 | 62 | 0 | 20 | 67 | 24 | 825,000$/1yrs | |||
Kyle Masters (R) | 0 | D | 100.00 | 60 | 38 | 92 | 48 | 74 | 62 | 65 | 47 | 30 | 53 | 51 | 64 | 52 | 61 | 60 | 0 | 20 | 65 | 22 | 865,000$/1yrs | |||
Layton Ahac (R) | 0 | D | 100.00 | 65 | 40 | 83 | 46 | 81 | 61 | 65 | 46 | 30 | 52 | 50 | 66 | 51 | 64 | 63 | 0 | 20 | 64 | 24 | ||||
Michael Buchinger (R) | 0 | D | 100.00 | 68 | 39 | 78 | 48 | 75 | 61 | 65 | 47 | 30 | 53 | 51 | 63 | 52 | 59 | 57 | 0 | 19 | 64 | 21 | 870,000$/1yrs | |||
Maximus Wanner | 0 | D | 100.00 | 66 | 39 | 81 | 45 | 76 | 59 | 77 | 45 | 30 | 49 | 50 | 62 | 50 | 57 | 55 | 0 | 20 | 62 | 22 | 850,000$/2yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Vadim Zherenko | 0 | 97.00 | 72 | 71 | 69 | 84 | 63 | 74 | 73 | 72 | 74 | 73 | 73 | 65 | 66 | 0 | 56 | 76 | 24 | 800,000$/2yrs |
Hugo Ollas | 0 | 100.00 | 67 | 60 | 65 | 99 | 39 | 71 | 67 | 67 | 71 | 70 | 68 | 63 | 69 | 0 | 34 | 72 | 23 | 855,000$/2yrs |
| Scratches | ||||||||||||||||||||
Mikhail Berdin | 40 | 100.00 | 72 | 73 | 70 | 84 | 68 | 75 | 73 | 72 | 75 | 74 | 74 | 65 | 68 | 0 | 26 | 77 | 27 | |
Isaiah Saville | 0 | 100.00 | 70 | 61 | 68 | 81 | 64 | 74 | 71 | 70 | 74 | 73 | 72 | 67 | 66 | 0 | 25 | 74 | 25 | |
Will Cranley | 0 | 100.00 | 60 | 62 | 66 | 84 | 59 | 60 | 60 | 60 | 60 | 63 | 60 | 60 | 63 | 0 | 25 | 67 | 23 | 775,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Gerard Gallant | 85 | 83 | 85 | 84 | 86 | 80 | 88 | CAN | 61 | 5 | 1,000,000$ |
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Michael Milne | LW | 23 | 3 | 11 | 14 | 2 | 8 | 0 | 47 | 52 | 11 | 41 | 5.77% | 2 | 16.94 | 2 | 3 | 5 | 56 | 0 | 0 | 0 | 23 | 0 | 1 | 61.90% | 21 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
| 2 | Cross Hanas | LW/RW | 27 | 9 | 4 | 13 | 8 | 14 | 0 | 20 | 59 | 14 | 42 | 15.25% | 6 | 13.92 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 42 | 4 | 1 | 44.00% | 25 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
| 3 | John Farinacci | C | 23 | 5 | 8 | 13 | 4 | 2 | 0 | 19 | 56 | 23 | 58 | 8.93% | 6 | 18.53 | 1 | 2 | 3 | 65 | 0 | 0 | 0 | 24 | 1 | 0 | 44.90% | 510 | 0 | 0 | 0 | 0 | 0.61 | 0 | 1 | ||
| 4 | Jakub Demek | C/RW | 20 | 4 | 8 | 12 | 4 | 6 | 0 | 28 | 33 | 11 | 37 | 12.12% | 2 | 16.47 | 0 | 1 | 1 | 31 | 0 | 0 | 0 | 22 | 1 | 1 | 48.72% | 39 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
| 5 | Yegor Sidorov | RW | 30 | 5 | 7 | 12 | 6 | 4 | 0 | 26 | 66 | 24 | 57 | 7.58% | 6 | 16.24 | 0 | 1 | 1 | 44 | 0 | 0 | 0 | 13 | 1 | 0 | 41.30% | 46 | 0 | 0 | 0 | 0 | 0.49 | 0 | 1 | ||
| 6 | Josh Samanski | C/LW | 19 | 7 | 5 | 12 | 1 | 6 | 0 | 42 | 61 | 12 | 43 | 11.48% | 3 | 20.07 | 2 | 0 | 2 | 50 | 0 | 0 | 0 | 43 | 2 | 0 | 60.54% | 147 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 7 | Charles-Edouard D'Astous | D | 12 | 1 | 9 | 10 | 9 | 12 | 0 | 43 | 18 | 7 | 10 | 5.56% | 18 | 22.79 | 0 | 1 | 1 | 34 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
| 8 | Alexis Gendron | C | 30 | 4 | 6 | 10 | 6 | 8 | 0 | 36 | 51 | 16 | 40 | 7.84% | 5 | 9.83 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 22 | 1 | 0 | 43.45% | 336 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
| 9 | Jared Davidson | C | 16 | 4 | 6 | 10 | 8 | 6 | 0 | 30 | 27 | 6 | 22 | 14.81% | 3 | 12.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39.15% | 212 | 0 | 0 | 0 | 0 | 1.00 | 0 | 0 | ||
| 10 | Adam Wilsby | D | 17 | 4 | 5 | 9 | 7 | 4 | 0 | 12 | 25 | 10 | 16 | 16.00% | 17 | 21.11 | 1 | 0 | 1 | 39 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
| 11 | Elias Salomonsson | D | 27 | 1 | 8 | 9 | 0 | 6 | 0 | 21 | 17 | 2 | 14 | 5.88% | 20 | 16.95 | 0 | 2 | 2 | 38 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 12 | Carter King | C/LW | 19 | 1 | 8 | 9 | -2 | 0 | 0 | 9 | 57 | 13 | 38 | 1.75% | 5 | 17.97 | 0 | 1 | 1 | 53 | 0 | 0 | 0 | 15 | 1 | 0 | 51.64% | 122 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 13 | Danny Zhilkin | C | 18 | 2 | 6 | 8 | -5 | 6 | 0 | 12 | 34 | 8 | 28 | 5.88% | 0 | 17.55 | 0 | 0 | 0 | 24 | 0 | 0 | 0 | 6 | 0 | 0 | 51.38% | 399 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
| 14 | Daylan Kuefler | LW | 22 | 3 | 5 | 8 | 0 | 15 | 5 | 42 | 25 | 6 | 11 | 12.00% | 3 | 9.68 | 0 | 2 | 2 | 21 | 0 | 0 | 0 | 19 | 1 | 0 | 45.10% | 51 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
| 15 | Ryan Hofer | C | 30 | 2 | 3 | 5 | 0 | 6 | 0 | 11 | 21 | 7 | 16 | 9.52% | 0 | 7.27 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 15 | 1 | 0 | 39.64% | 280 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
| 16 | Jeremie Biakabutuka | D | 13 | 0 | 4 | 4 | -1 | 4 | 0 | 22 | 8 | 1 | 3 | 0.00% | 15 | 9.57 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
| 17 | Jake Christiansen | D | 30 | 2 | 1 | 3 | 5 | 4 | 0 | 18 | 24 | 10 | 19 | 8.33% | 56 | 21.02 | 1 | 0 | 1 | 68 | 0 | 0 | 0 | 87 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | ||
| 18 | Antti Tuomisto | D | 28 | 1 | 2 | 3 | 4 | 12 | 0 | 39 | 20 | 3 | 19 | 5.00% | 40 | 16.37 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | ||
| 19 | Ethan Cardwell | RW | 7 | 2 | 1 | 3 | 3 | 4 | 0 | 18 | 28 | 10 | 18 | 7.14% | 0 | 18.81 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
| 20 | Mason Shaw | C/LW | 5 | 0 | 1 | 1 | -1 | 4 | 0 | 3 | 4 | 0 | 0 | 0.00% | 0 | 7.47 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 0 | 0 | 54.17% | 24 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
| 21 | Michael Buchinger | D | 2 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 1 | 3.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 2.99 | 0 | 0 | ||
| 22 | Marshall Warren | D | 12 | 1 | 0 | 1 | -5 | 4 | 0 | 14 | 5 | 1 | 3 | 20.00% | 7 | 11.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | ||
| 23 | Brady Stonehouse | LW/RW | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 7 | 10 | 3 | 5 | 0.00% | 1 | 7.64 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 438 | 62 | 108 | 170 | 56 | 137 | 5 | 519 | 703 | 198 | 540 | 8.82% | 216 | 15.19 | 7 | 13 | 20 | 616 | 0 | 0 | 0 | 514 | 14 | 3 | 46.29% | 2223 | 0 | 0 | 0 | 0 | 0.51 | 0 | 2 |
| 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 | Vadim Zherenko | 16 | 8 | 5 | 2 | 0.931 | 1.98 | 939 | 0 | 0 | 31 | 450 | 0 | 0 | 0 | 0.667 | 3 | 15 | 15 | 2 | 2 | 1 | |
| Team Total or Average | 16 | 8 | 5 | 2 | 0.931 | 1.98 | 939 | 0 | 0 | 31 | 450 | 0 | 0 | 0 | 0.667 | 3 | 15 | 15 | 2 | 2 | 1 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Wilsby | D | 25 | 800,000$ | 800,000$ | |||||||
| Alexis Gendron | C | 21 | 860,000$ | 860,000$ | RFA | ||||||
| Antti Tuomisto | D | 24 | 850,000$ | 850,000$ | |||||||
| Brady Stonehouse | LW/RW | 21 | 845,000$ | 845,000$ | RFA | ||||||
| Carter King | C/LW | 24 | 872,500$ | 872,500$ | |||||||
| Charles-Edouard D'Astous | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
| Cross Hanas | LW/RW | 23 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Danny Zhilkin | C | 22 | 831,667$ | 831,667$ | RFA | ||||||
| Daylan Kuefler | LW | 23 | 840,000$ | 840,000$ | RFA | ||||||
| Elias Salomonsson | D | 21 | 815,000$ | 815,000$ | 815,000$ | RFA | |||||
| Ethan Cardwell | RW | 23 | 867,500$ | 867,500$ | RFA | ||||||
| Gannon Laroque | D | 22 | 0$ | RFA | |||||||
| Hugo Ollas | G | 23 | 855,000$ | 855,000$ | 855,000$ | ||||||
| Isaiah Saville | G | 25 | 0$ | ||||||||
| Jake Christiansen | D | 26 | 850,000$ | 850,000$ | |||||||
| Jakub Demek | C/RW | 22 | 851,683$ | 851,683$ | RFA | ||||||
| Jared Davidson | C | 23 | 800,000$ | 800,000$ | RFA | ||||||
| Jeremie Biakabutuka | D | 23 | 825,000$ | 825,000$ | RFA | ||||||
| John Farinacci | C | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Josh Samanski | C/LW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Kyle Masters | D | 22 | 865,000$ | 865,000$ | RFA | ||||||
| Layton Ahac | D | 24 | 0$ | ||||||||
| Liam Kirk | C | 25 | 900,000$ | 900,000$ | |||||||
| Marshall Warren | D | 24 | 825,000$ | 825,000$ | |||||||
| Mason Shaw | C/LW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Maximus Wanner | D | 22 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
| Michael Buchinger | D | 21 | 870,000$ | 870,000$ | RFA | ||||||
| Michael Milne | LW | 23 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
| Mikhail Berdin | G | 27 | 0$ | UFA | |||||||
| Ryan Hofer | C | 23 | 851,667$ | 851,667$ | RFA | ||||||
| Ryder Korczak | C | 23 | 859,167$ | 859,167$ | RFA | ||||||
| Santeri Hatakka | D | 24 | 825,000$ | 825,000$ | |||||||
| Vadim Zherenko | G | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Will Cranley | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Yegor Sidorov | RW | 21 | 950,000$ | 950,000$ | 950,000$ | 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 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | 8 | 5 | 7 | 0.875 | 13 | 25 | 38 | 0 | 0 | 28 | 23 | 24 | 1 | 148 | 280 | 304 | 323 | 10 | 112 | 34 | 24 | 117 | 9 | 1 | 11.11% | 10 | 0 | 100.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 60.0% | 8.8% | 92.9% | 101.6 | DULL | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 28 | 23 | 24 | 1 | 37 | 280 | 304 | 323 | 10 | 26 | 10 | 8 | 25 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 60.0% | 8.1% | 92.3% | 100.4 | DULL | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 28 | 23 | 24 | 1 | 37 | 280 | 304 | 323 | 10 | 25 | 9 | 2 | 21 | 5 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 100.0% | 8.1% | 96.0% | 104.1 | DULL | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 28 | 23 | 24 | 1 | 32 | 280 | 304 | 323 | 10 | 25 | 2 | 8 | 30 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 66.7% | 9.4% | 96.0% | 105.4 | LUCKY | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 28 | 23 | 24 | 1 | 19 | 280 | 304 | 323 | 10 | 34 | 15 | 10 | 24 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 42.9% | 15.8% | 85.3% | 101.1 | FUN | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 28 | 23 | 24 | 1 | 28 | 280 | 304 | 323 | 10 | 32 | 15 | 8 | 20 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 100.0% | 10.7% | 100.0% | 110.7 | LUCKY | |
| 7 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 6 | 0.750 | 12 | 23 | 35 | 0 | 0 | 28 | 23 | 24 | 1 | 118 | 280 | 304 | 323 | 10 | 113 | 30 | 43 | 106 | 11 | 1 | 9.09% | 15 | 2 | 86.67% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 61.1% | 10.2% | 92.0% | 102.2 | LUCKY | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 28 | 23 | 24 | 1 | 30 | 280 | 304 | 323 | 10 | 32 | 11 | 4 | 21 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 50.0% | 6.7% | 96.9% | 103.5 | DULL | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 28 | 23 | 24 | 1 | 17 | 280 | 304 | 323 | 10 | 39 | 13 | 8 | 19 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 75.0% | 17.6% | 94.9% | 112.5 | LUCKY | |
| 10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 28 | 23 | 24 | 1 | 69 | 280 | 304 | 323 | 10 | 60 | 13 | 14 | 43 | 11 | 1 | 9.09% | 6 | 2 | 66.67% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 30.0% | 5.8% | 85.0% | 90.8 | Unlucky | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 28 | 23 | 24 | 1 | 32 | 280 | 304 | 323 | 10 | 22 | 7 | 6 | 23 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 50.0% | 6.3% | 86.4% | 92.6 | Unlucky | |
| 12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 28 | 23 | 24 | 1 | 53 | 280 | 304 | 323 | 10 | 50 | 19 | 18 | 48 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 25.0% | 5.7% | 92.0% | 97.7 | DULL | |
| 13 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 28 | 23 | 24 | 1 | 51 | 280 | 304 | 323 | 10 | 45 | 11 | 14 | 47 | 7 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 40.0% | 3.9% | 91.1% | 95.0 | Unlucky | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 28 | 23 | 24 | 1 | 32 | 280 | 304 | 323 | 10 | 45 | 6 | 10 | 22 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 80.0% | 12.5% | 95.6% | 108.1 | LUCKY | |
| 15 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 13 | 20 | 0 | 0 | 28 | 23 | 24 | 1 | 98 | 280 | 304 | 323 | 10 | 101 | 31 | 23 | 85 | 11 | 2 | 18.18% | 9 | 1 | 88.89% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 50.0% | 7.1% | 94.1% | 101.2 | DULL | |
| 16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 28 | 23 | 24 | 1 | 69 | 280 | 304 | 323 | 10 | 68 | 29 | 16 | 48 | 5 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 50.0% | 5.8% | 94.1% | 99.9 | DULL | |
| 17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 28 | 23 | 24 | 1 | 22 | 280 | 304 | 323 | 10 | 29 | 12 | 12 | 27 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 33.3% | 9.1% | 86.2% | 95.3 | FUN | |
| 18 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 28 | 23 | 24 | 1 | 22 | 280 | 304 | 323 | 10 | 23 | 9 | 10 | 21 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 50.0% | 13.6% | 82.6% | 96.2 | FUN | |
| _Vs Division | 13 | 8 | 4 | 0 | 0 | 1 | 0 | 1 | 38 | 33 | 5 | 18 | 0.692 | 38 | 73 | 111 | 0 | 0 | 28 | 23 | 24 | 1 | 419 | 280 | 304 | 323 | 10 | 385 | 103 | 105 | 330 | 41 | 4 | 9.76% | 43 | 6 | 86.05% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 55.7% | 9.1% | 91.4% | 100.5 | LUCKY | |
| _Vs Conference | 24 | 13 | 7 | 0 | 1 | 2 | 0 | 1 | 61 | 54 | 7 | 31 | 0.646 | 61 | 116 | 177 | 0 | 0 | 28 | 23 | 24 | 1 | 739 | 280 | 304 | 323 | 10 | 692 | 195 | 184 | 603 | 82 | 9 | 10.98% | 78 | 12 | 84.62% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 55.3% | 8.3% | 92.2% | 100.5 | DULL | |
| _Since Last GM Reset | 30 | 16 | 10 | 0 | 1 | 2 | 0 | 1 | 76 | 69 | 7 | 37 | 0.617 | 76 | 143 | 219 | 1 | 1 | 28 | 23 | 24 | 1 | 914 | 280 | 304 | 323 | 10 | 881 | 276 | 238 | 747 | 97 | 10 | 10.31% | 103 | 13 | 87.38% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 54.1% | 8.3% | 92.2% | 100.5 | DULL | |
| Total | 30 | 16 | 10 | 0 | 1 | 2 | 0 | 1 | 76 | 69 | 7 | 37 | 0.617 | 76 | 143 | 219 | 1 | 1 | 28 | 23 | 24 | 1 | 914 | 280 | 304 | 323 | 10 | 881 | 276 | 238 | 747 | 97 | 10 | 10.31% | 103 | 13 | 87.38% | 0 | 484 | 1035 | 46.76% | 452 | 1016 | 44.49% | 242 | 479 | 50.52% | 709 | 471 | 695 | 228 | 405 | 202 | 54.1% | 8.3% | 92.2% | 100.5 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1035 |
| Neutral Zone Start | 479 |
| Defensive Zone Start | 1016 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1178 |
| Faceoffs Lost | 1352 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.3 | 9.57 |
| 2nd Period | 19.5 | 20.31 |
| 3rd Period | 30.2 | 30.68 |
| Overtime | 30.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.7 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 65 |
|---|---|
| PP Goal | 10 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 10 | 7 |
| Lost | 4 | 6 |
| Overtime Lost | 2 | 1 |
| PP Attempt | 97 |
|---|---|
| PP Goal | 10 |
| PK Attempt | 103 |
| PK Goal Against | 13 |
| Home | |
|---|---|
| Shots For | 30.5 |
| Shots Against | 29.4 |
| Goals For | 2.5 |
| Goals Against | 2.3 |
| Hits | 24.9 |
| Shots Blocked | 9.2 |
| Pim | 7.9 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Wranglers2,Silver Knights4 | RECAP | |||||||||||
| 2025-10-13 | @ | Barracuda4,Silver Knights3 (OT) | RECAP | |||||||||||
| 2025-10-15 | @ | Silver Knights2,Roadrunners3 | RECAP | |||||||||||
| 2025-10-18 | @ | Condors4,Silver Knights2 | RECAP | |||||||||||
| 2025-10-20 | @ | Silver Knights1,Canucks4 | RECAP | |||||||||||
| 2025-10-22 | @ | Canucks1,Silver Knights4 | RECAP | |||||||||||
| 2025-10-23 | @ | Silver Knights4,Gulls2 | RECAP | |||||||||||
| 2025-10-25 | @ | Silver Knights2,Reign1 | RECAP | |||||||||||
| 2025-10-27 | @ | Stars2,Silver Knights0 | RECAP | |||||||||||
| 2025-10-29 | @ | Silver Knights1,Wranglers2 (SO) | RECAP | |||||||||||
| 2025-10-31 | @ | Moose3,Silver Knights2 (OT) | RECAP | |||||||||||
| 2025-11-01 | @ | Silver Knights3,Marlies2 | RECAP | |||||||||||
| 2025-11-05 | @ | Canucks3,Silver Knights4 | RECAP | |||||||||||
| 2025-11-10 | @ | Eagles1,Silver Knights3 | RECAP | |||||||||||
| 2025-11-13 | @ | Silver Knights2,Condors5 | RECAP | |||||||||||
| 2025-11-15 | @ | Griffins0,Silver Knights3 | RECAP | |||||||||||
| 2025-11-17 | @ | Silver Knights2,Penguins4 | RECAP | |||||||||||
| 2025-11-19 | @ | IceHogs2,Silver Knights3 | RECAP | |||||||||||
| 2025-11-23 | @ | Moose1,Silver Knights0 | RECAP | |||||||||||
| 2025-11-29 | @ | Wolf Pack5,Silver Knights3 | RECAP | |||||||||||
| 2025-12-01 | @ | Silver Knights3,Wolves1 | RECAP | |||||||||||
| 2025-12-04 | @ | Islanders2,Silver Knights3 | RECAP | |||||||||||
| 2025-12-06 | @ | Silver Knights3,Admirals2 | RECAP | |||||||||||
| 2025-12-08 | @ | Wranglers2,Silver Knights4 | RECAP | |||||||||||
| 2025-12-10 | @ | Silver Knights4,Wranglers2 | RECAP | |||||||||||
| 2025-12-12 | @ | Silver Knights0,IceHogs2 | RECAP | |||||||||||
| 2025-12-14 | @ | Silver Knights3,Stars2 (OT) | RECAP | |||||||||||
| 2025-12-16 | @ | Canucks1,Silver Knights3 | RECAP | |||||||||||
| 2025-12-20 | @ | Silver Knights1,Marlies2 | RECAP | |||||||||||
| 2025-12-21 | @ | Stars2,Silver Knights4 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,395,002$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Henderson | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 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 |
| 20 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,395,002$ | 2,395,002$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,391,182$ | 13,306$ | 985,631$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 117 | 18,861$ | 1,980,405$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,980,405$ | 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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