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Full Scoreboard »» |
| Henderson Silver Knights 12-8-3, 27pts · 9th 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 | 99.00 | 71 | 39 | 81 | 61 | 78 | 68 | 88 | 59 | 68 | 62 | 60 | 64 | 61 | 63 | 61 | 0 | 30 | 71 | 23 | 975,000$/2yrs | |||
Ethan Cardwell (R) | 0 | RW | 100.00 | 69 | 40 | 76 | 59 | 76 | 66 | 71 | 61 | 48 | 60 | 58 | 64 | 59 | 63 | 60 | 0 | 28 | 70 | 23 | 867,500$/1yrs | |||
John Farinacci (R) | 0 | C | 100.00 | 58 | 38 | 93 | 57 | 75 | 66 | 69 | 62 | 47 | 60 | 55 | 65 | 57 | 65 | 64 | 0 | 39 | 69 | 24 | 850,000$/2yrs | |||
Jared Davidson (R) | 0 | C | 100.00 | 70 | 39 | 75 | 58 | 72 | 66 | 71 | 61 | 41 | 56 | 60 | 64 | 58 | 63 | 60 | 0 | 43 | 69 | 23 | 800,000$/1yrs | |||
Carter King | 0 | C/LW | 100.00 | 60 | 38 | 87 | 59 | 73 | 68 | 94 | 57 | 69 | 58 | 60 | 66 | 59 | 63 | 62 | 0 | 27 | 69 | 24 | 872,500$/1yrs | |||
Michael Milne (R) | 0 | LW | 100.00 | 71 | 39 | 73 | 57 | 71 | 65 | 69 | 61 | 45 | 55 | 57 | 64 | 56 | 63 | 60 | 0 | 46 | 68 | 23 | 950,000$/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 | 27 | 68 | 22 | 851,683$/1yrs | |||
Alexis Gendron (R) | 0 | C | 100.00 | 70 | 39 | 74 | 57 | 71 | 64 | 69 | 60 | 37 | 53 | 59 | 63 | 56 | 61 | 58 | 0 | 46 | 68 | 21 | 860,000$/1yrs | |||
Yegor Sidorov (R) | 0 | RW | 100.00 | 61 | 38 | 89 | 59 | 72 | 65 | 68 | 59 | 49 | 57 | 59 | 62 | 58 | 59 | 58 | 0 | 50 | 68 | 21 | 950,000$/2yrs | |||
Cross Hanas (R) | 0 | LW/RW | 100.00 | 68 | 39 | 78 | 54 | 75 | 63 | 68 | 61 | 41 | 53 | 54 | 65 | 54 | 63 | 60 | 0 | 41 | 67 | 23 | 850,000$/2yrs | |||
Daylan Kuefler (R) | 0 | LW | 100.00 | 80 | 41 | 57 | 53 | 76 | 63 | 66 | 61 | 39 | 54 | 52 | 65 | 53 | 63 | 58 | 0 | 38 | 67 | 23 | 840,000$/1yrs | |||
Ryan Hofer (R) | 0 | C | 100.00 | 63 | 39 | 87 | 53 | 78 | 62 | 66 | 62 | 37 | 52 | 53 | 65 | 52 | 63 | 61 | 0 | 44 | 67 | 23 | 851,667$/1yrs | |||
Charles-Edouard D'Astous | 0 | D | 100.00 | 77 | 41 | 63 | 59 | 78 | 62 | 67 | 57 | 30 | 63 | 56 | 66 | 60 | 65 | 70 | 0 | 40 | 72 | 27 | 775,000$/1yrs | |||
Adam Wilsby (R) | 0 | D | 100.00 | 65 | 32 | 90 | 60 | 75 | 86 | 69 | 53 | 30 | 62 | 56 | 63 | 55 | 66 | 65 | 0 | 35 | 72 | 25 | 800,000$/1yrs | |||
Sean Behrens (R) | 0 | D | 100.00 | 84 | 40 | 59 | 57 | 67 | 66 | 94 | 56 | 30 | 59 | 53 | 67 | 56 | 61 | 57 | 0 | 42 | 70 | 22 | 905,833$/2yrs | |||
Jake Christiansen (R) | 0 | D | 100.00 | 65 | 36 | 94 | 55 | 75 | 76 | 86 | 50 | 30 | 58 | 53 | 59 | 51 | 67 | 66 | 0 | 47 | 68 | 26 | 850,000$/1yrs | |||
Antti Tuomisto | 0 | D | 100.00 | 68 | 41 | 77 | 51 | 87 | 64 | 66 | 50 | 30 | 57 | 52 | 66 | 55 | 64 | 62 | 0 | 43 | 68 | 24 | 850,000$/1yrs | |||
Elias Salomonsson (R) | 0 | D | 100.00 | 64 | 39 | 84 | 54 | 76 | 64 | 66 | 52 | 30 | 59 | 53 | 63 | 56 | 59 | 58 | 0 | 30 | 68 | 21 | 815,000$/2yrs | |||
Jeremie Biakabutuka | 0 | D | 100.00 | 77 | 41 | 68 | 58 | 82 | 66 | 60 | 55 | 30 | 52 | 50 | 63 | 59 | 59 | 56 | 0 | 22 | 67 | 23 | 825,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Mason Shaw | 0 | C/LW | 100.00 | 73 | 57 | 50 | 55 | 70 | 69 | 68 | 57 | 64 | 58 | 56 | 55 | 57 | 69 | 64 | 0 | 26 | 67 | 27 | 1,000,000$/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$/1yrs | |||
Ryder Korczak (R) | 0 | C | 100.00 | 63 | 38 | 86 | 54 | 67 | 63 | 67 | 61 | 39 | 54 | 54 | 65 | 54 | 63 | 61 | 0 | 21 | 67 | 23 | 859,167$/1yrs | |||
Liam Kirk | 0 | C | 100.00 | 86 | 41 | 50 | 62 | 64 | 69 | 60 | 58 | 65 | 52 | 50 | 56 | 71 | 62 | 57 | 0 | 23 | 66 | 25 | 900,000$/1yrs | |||
Danny Zhilkin (R) | 0 | C | 100.00 | 62 | 39 | 87 | 53 | 80 | 62 | 66 | 61 | 58 | 53 | 52 | 64 | 52 | 61 | 59 | 0 | 40 | 66 | 21 | 831,667$/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 | 22 | 67 | 24 | 825,000$/1yrs | |||
Marshall Warren (R) | 0 | D | 100.00 | 69 | 39 | 76 | 50 | 72 | 64 | 66 | 49 | 30 | 55 | 52 | 66 | 54 | 64 | 62 | 0 | 27 | 67 | 24 | 825,000$/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$/1yrs | |||
Layton Ahac (R) | 0 | D | 100.00 | 65 | 40 | 83 | 46 | 81 | 61 | 65 | 46 | 30 | 52 | 50 | 66 | 51 | 64 | 63 | 0 | 20 | 64 | 24 | ||||
Michael Buchinger (R) | 0 | D | 100.00 | 68 | 39 | 78 | 48 | 75 | 61 | 65 | 47 | 30 | 53 | 51 | 63 | 52 | 59 | 57 | 0 | 20 | 64 | 21 | 870,000$/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$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Vadim Zherenko | 0 | 99.00 | 72 | 71 | 69 | 84 | 63 | 74 | 73 | 72 | 74 | 73 | 73 | 65 | 66 | 0 | 49 | 76 | 24 | 800,000$/2yrs |
Hugo Ollas | 0 | 100.00 | 67 | 60 | 65 | 99 | 39 | 71 | 67 | 67 | 71 | 70 | 68 | 63 | 69 | 0 | 26 | 72 | 23 | 855,000$/2yrs |
| Scratches | ||||||||||||||||||||
Mikhail Berdin | 40 | 100.00 | 72 | 73 | 70 | 84 | 68 | 75 | 73 | 72 | 75 | 74 | 74 | 65 | 68 | 0 | 29 | 77 | 27 | |
Isaiah Saville | 0 | 100.00 | 70 | 61 | 68 | 81 | 64 | 74 | 71 | 70 | 74 | 73 | 72 | 67 | 66 | 0 | 29 | 74 | 25 | |
Will Cranley | 0 | 100.00 | 60 | 62 | 66 | 84 | 59 | 60 | 60 | 60 | 60 | 63 | 60 | 60 | 63 | 0 | 28 | 67 | 23 | 775,000$/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 | Cross Hanas | LW/RW | 20 | 8 | 3 | 11 | 9 | 14 | 0 | 19 | 50 | 11 | 29 | 16.00% | 6 | 15.44 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 38 | 4 | 1 | 52.38% | 21 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
| 2 | Sean Behrens | D | 21 | 1 | 10 | 11 | 4 | 30 | 0 | 57 | 16 | 5 | 15 | 6.25% | 15 | 16.59 | 0 | 1 | 1 | 27 | 0 | 0 | 0 | 18 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 3 | Michael Milne | LW | 16 | 2 | 7 | 9 | -1 | 6 | 0 | 36 | 29 | 10 | 31 | 6.90% | 2 | 17.93 | 1 | 2 | 3 | 36 | 0 | 0 | 0 | 13 | 0 | 0 | 66.67% | 15 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 4 | Jakub Demek | C/RW | 13 | 3 | 6 | 9 | 2 | 6 | 0 | 25 | 27 | 10 | 30 | 11.11% | 1 | 19.64 | 0 | 1 | 1 | 30 | 0 | 0 | 0 | 21 | 0 | 1 | 48.57% | 35 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 5 | John Farinacci | C | 16 | 3 | 6 | 9 | 2 | 2 | 0 | 16 | 32 | 15 | 35 | 9.38% | 3 | 18.45 | 1 | 1 | 2 | 42 | 0 | 0 | 0 | 24 | 1 | 0 | 42.99% | 328 | 0 | 0 | 0 | 0 | 0.61 | 0 | 1 | ||
| 6 | 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 | ||
| 7 | Alexis Gendron | C | 23 | 3 | 5 | 8 | 7 | 6 | 0 | 34 | 38 | 11 | 37 | 7.89% | 3 | 10.32 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 22 | 0 | 0 | 42.75% | 269 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
| 8 | Yegor Sidorov | RW | 23 | 3 | 5 | 8 | 8 | 4 | 0 | 15 | 47 | 18 | 45 | 6.38% | 6 | 15.49 | 0 | 0 | 0 | 24 | 0 | 0 | 0 | 6 | 1 | 0 | 39.39% | 33 | 0 | 0 | 0 | 0 | 0.45 | 0 | 1 | ||
| 9 | Daylan Kuefler | LW | 15 | 3 | 4 | 7 | 1 | 6 | 0 | 21 | 19 | 6 | 8 | 15.79% | 1 | 9.19 | 0 | 2 | 2 | 21 | 0 | 0 | 0 | 0 | 1 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 | ||
| 10 | Elias Salomonsson | D | 20 | 1 | 6 | 7 | -1 | 4 | 0 | 14 | 15 | 2 | 12 | 6.67% | 14 | 17.28 | 0 | 2 | 2 | 36 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 11 | Josh Samanski | C/LW | 12 | 4 | 3 | 7 | -2 | 4 | 0 | 17 | 40 | 10 | 25 | 10.00% | 2 | 19.27 | 1 | 0 | 1 | 28 | 0 | 0 | 0 | 23 | 0 | 0 | 59.70% | 134 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 12 | Jared Davidson | C | 9 | 2 | 4 | 6 | 5 | 6 | 0 | 21 | 15 | 4 | 13 | 13.33% | 2 | 14.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39.34% | 122 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | ||
| 13 | Carter King | C/LW | 12 | 0 | 6 | 6 | 0 | 0 | 0 | 1 | 39 | 8 | 27 | 0.00% | 4 | 17.28 | 0 | 0 | 0 | 33 | 0 | 0 | 0 | 5 | 0 | 0 | 37.50% | 72 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 14 | Adam Wilsby | D | 10 | 2 | 3 | 5 | 5 | 2 | 0 | 2 | 14 | 4 | 9 | 14.29% | 10 | 19.05 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
| 15 | Jake Christiansen | D | 23 | 2 | 1 | 3 | 6 | 4 | 0 | 14 | 17 | 8 | 16 | 11.76% | 36 | 20.57 | 1 | 0 | 1 | 47 | 0 | 0 | 0 | 71 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | ||
| 16 | Charles-Edouard D'Astous | D | 5 | 0 | 3 | 3 | 5 | 4 | 0 | 19 | 8 | 3 | 4 | 0.00% | 7 | 22.77 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 17 | Antti Tuomisto | D | 21 | 1 | 2 | 3 | 3 | 8 | 0 | 28 | 11 | 3 | 16 | 9.09% | 31 | 16.07 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
| 18 | Ryan Hofer | C | 23 | 2 | 1 | 3 | 2 | 2 | 0 | 3 | 14 | 4 | 10 | 14.29% | 0 | 4.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 1 | 0 | 38.30% | 141 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 19 | 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 | ||
| 20 | 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 | ||
| 21 | 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 | ||
| 22 | Jeremie Biakabutuka | D | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 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 | 333 | 44 | 82 | 126 | 47 | 124 | 0 | 378 | 486 | 144 | 398 | 9.05% | 152 | 14.80 | 4 | 9 | 13 | 422 | 0 | 0 | 0 | 390 | 9 | 3 | 46.01% | 1606 | 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 | 9 | 3 | 3 | 2 | 0.927 | 2.10 | 515 | 0 | 0 | 18 | 248 | 0 | 0 | 0 | 0.667 | 3 | 8 | 15 | 1 | 2 | 0 | |
| Team Total or Average | 9 | 3 | 3 | 2 | 0.927 | 2.10 | 515 | 0 | 0 | 18 | 248 | 0 | 0 | 0 | 0.667 | 3 | 8 | 15 | 1 | 2 | 0 |
| 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 | 21 | 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$ | |||||||
| Sean Behrens | D | 22 | 905,833$ | 905,833$ | 905,833$ | RFA | |||||
| 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 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 24 | 16 | 17 | 0 | 62 | 218 | 220 | 241 | 5 | 57 | 13 | 18 | 54 | 4 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 55.6% | 8.1% | 93.0% | 101.0 | DULL | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 24 | 16 | 17 | 0 | 37 | 218 | 220 | 241 | 5 | 26 | 10 | 8 | 25 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 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 | 24 | 16 | 17 | 0 | 37 | 218 | 220 | 241 | 5 | 25 | 9 | 2 | 21 | 5 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 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 | 24 | 16 | 17 | 0 | 32 | 218 | 220 | 241 | 5 | 25 | 2 | 8 | 30 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 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 | 24 | 16 | 17 | 0 | 19 | 218 | 220 | 241 | 5 | 34 | 15 | 10 | 24 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 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 | 24 | 16 | 17 | 0 | 28 | 218 | 220 | 241 | 5 | 32 | 15 | 8 | 20 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 100.0% | 10.7% | 100.0% | 110.7 | LUCKY | |
| 7 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 17 | 26 | 0 | 0 | 24 | 16 | 17 | 0 | 97 | 218 | 220 | 241 | 5 | 97 | 22 | 33 | 81 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 57.1% | 9.3% | 91.8% | 101.0 | LUCKY | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 24 | 16 | 17 | 0 | 30 | 218 | 220 | 241 | 5 | 32 | 11 | 4 | 21 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 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 | 24 | 16 | 17 | 0 | 17 | 218 | 220 | 241 | 5 | 39 | 13 | 8 | 19 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 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 | 24 | 16 | 17 | 0 | 69 | 218 | 220 | 241 | 5 | 60 | 13 | 14 | 43 | 11 | 1 | 9.09% | 6 | 2 | 66.67% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 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 | 24 | 16 | 17 | 0 | 32 | 218 | 220 | 241 | 5 | 22 | 7 | 6 | 23 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 50.0% | 6.3% | 86.4% | 92.6 | Unlucky | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 24 | 16 | 17 | 0 | 32 | 218 | 220 | 241 | 5 | 24 | 10 | 14 | 26 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 50.0% | 9.4% | 91.7% | 101.0 | LUCKY | |
| 13 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 24 | 16 | 17 | 0 | 51 | 218 | 220 | 241 | 5 | 45 | 11 | 14 | 47 | 7 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 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 | 24 | 16 | 17 | 0 | 32 | 218 | 220 | 241 | 5 | 45 | 6 | 10 | 22 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 80.0% | 12.5% | 95.6% | 108.1 | LUCKY | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 24 | 16 | 17 | 0 | 21 | 218 | 220 | 241 | 5 | 35 | 6 | 10 | 25 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 0.0% | 0.0% | 94.3% | 94.3 | DULL | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 24 | 16 | 17 | 0 | 41 | 218 | 220 | 241 | 5 | 29 | 13 | 6 | 20 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 60.0% | 7.3% | 93.1% | 100.4 | DULL | |
| 17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 24 | 16 | 17 | 0 | 22 | 218 | 220 | 241 | 5 | 29 | 12 | 12 | 27 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 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 | 24 | 16 | 17 | 0 | 22 | 218 | 220 | 241 | 5 | 23 | 9 | 10 | 21 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 50.0% | 13.6% | 82.6% | 96.2 | FUN | |
| _Vs Division | 10 | 5 | 4 | 0 | 0 | 1 | 0 | 1 | 27 | 28 | -1 | 12 | 0.600 | 27 | 52 | 79 | 0 | 0 | 24 | 16 | 17 | 0 | 312 | 218 | 220 | 241 | 5 | 314 | 74 | 89 | 242 | 30 | 3 | 10.00% | 35 | 6 | 82.86% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 52.2% | 8.7% | 91.1% | 99.7 | Unlucky | |
| _Vs Conference | 18 | 9 | 6 | 0 | 0 | 2 | 0 | 1 | 43 | 43 | 0 | 21 | 0.583 | 43 | 82 | 125 | 0 | 0 | 24 | 16 | 17 | 0 | 534 | 218 | 220 | 241 | 5 | 529 | 132 | 151 | 433 | 61 | 6 | 9.84% | 64 | 12 | 81.25% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 54.4% | 8.1% | 91.9% | 99.9 | DULL | |
| _Since Last GM Reset | 23 | 12 | 8 | 0 | 0 | 2 | 0 | 1 | 57 | 56 | 1 | 27 | 0.587 | 57 | 107 | 164 | 1 | 1 | 24 | 16 | 17 | 0 | 681 | 218 | 220 | 241 | 5 | 679 | 197 | 195 | 549 | 73 | 7 | 9.59% | 85 | 13 | 84.71% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 53.8% | 8.4% | 91.8% | 100.1 | DULL | |
| Total | 23 | 12 | 8 | 0 | 0 | 2 | 0 | 1 | 57 | 56 | 1 | 27 | 0.587 | 57 | 107 | 164 | 1 | 1 | 24 | 16 | 17 | 0 | 681 | 218 | 220 | 241 | 5 | 679 | 197 | 195 | 549 | 73 | 7 | 9.59% | 85 | 13 | 84.71% | 0 | 367 | 777 | 47.23% | 337 | 782 | 43.09% | 184 | 363 | 50.69% | 540 | 358 | 535 | 177 | 310 | 154 | 53.8% | 8.4% | 91.8% | 100.1 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 777 |
| Neutral Zone Start | 363 |
| Defensive Zone Start | 782 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 888 |
| Faceoffs Lost | 1034 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.5 | 9.57 |
| 2nd Period | 19.0 | 20.31 |
| 3rd Period | 29.5 | 30.68 |
| Overtime | 29.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.7 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 49 |
|---|---|
| PP Goal | 7 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 7 | 5 |
| Lost | 4 | 4 |
| Overtime Lost | 2 | 1 |
| PP Attempt | 73 |
|---|---|
| PP Goal | 7 |
| PK Attempt | 85 |
| PK Goal Against | 13 |
| Home | |
|---|---|
| Shots For | 29.6 |
| Shots Against | 29.5 |
| Goals For | 2.5 |
| Goals Against | 2.4 |
| Hits | 23.9 |
| Shots Blocked | 8.6 |
| Pim | 8.5 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,485,585$ | 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 |
| 23 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,485,585$ | 2,485,585$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,127,128$ | 13,809$ | 799,347$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 19,364$ | 2,304,316$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,304,316$ | 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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