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Full Scoreboard »» |
Henderson Silver Knights 12-9-2, 26pts · 8th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 96.00 | 68 | 39 | 84 | 65 | 75 | 70 | 79 | 62 | 65 | 66 | 65 | 62 | 65 | 61 | 63 | 0 | 48 | 74 | 22 | 863,333$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 74 | 39 | 78 | 63 | 90 | 70 | 78 | 61 | 74 | 64 | 62 | 64 | 63 | 67 | 68 | 0 | 48 | 74 | 25 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 38 | 88 | 66 | 72 | 70 | 72 | 62 | 39 | 65 | 66 | 60 | 65 | 61 | 62 | 0 | 48 | 74 | 22 | 862,500$/2yrs | |||
![]() | 0 | LW | 99.00 | 50 | 32 | 66 | 69 | 66 | 78 | 65 | 59 | 30 | 82 | 50 | 68 | 54 | 61 | 57 | 0 | 47 | 74 | 21 | 775,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 53 | 37 | 96 | 68 | 62 | 71 | 89 | 64 | 59 | 67 | 65 | 61 | 66 | 56 | 56 | 0 | 48 | 74 | 19 | 891,667$/3yrs | |||
![]() | 0 | RW | 98.00 | 64 | 39 | 83 | 67 | 71 | 71 | 89 | 63 | 42 | 66 | 67 | 62 | 66 | 58 | 56 | 0 | 48 | 74 | 21 | 870,000$/3yrs | |||
![]() | 0 | C | 100.00 | 76 | 39 | 75 | 64 | 72 | 71 | 83 | 62 | 71 | 65 | 64 | 64 | 64 | 63 | 66 | 0 | 48 | 73 | 23 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 94 | 42 | 50 | 67 | 76 | 70 | 85 | 61 | 41 | 63 | 64 | 63 | 63 | 59 | 54 | 0 | 45 | 73 | 21 | 840,000$/3yrs | |||
![]() | 11 | C | 100.00 | 64 | 39 | 88 | 59 | 78 | 68 | 81 | 58 | 74 | 61 | 60 | 65 | 61 | 68 | 69 | 0 | 48 | 72 | 26 | 900,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 41 | 80 | 60 | 96 | 68 | 72 | 58 | 72 | 61 | 61 | 64 | 61 | 65 | 67 | 0 | 46 | 72 | 23 | 860,000$/2yrs | |||
![]() | 0 | C | 100.00 | 93 | 42 | 50 | 63 | 75 | 69 | 89 | 61 | 71 | 61 | 64 | 62 | 63 | 59 | 54 | 0 | 38 | 72 | 21 | 851,667$/3yrs | |||
![]() | 0 | C | 100.00 | 56 | 37 | 92 | 63 | 64 | 68 | 88 | 61 | 67 | 64 | 60 | 61 | 62 | 58 | 57 | 0 | 17 | 71 | 20 | 825,000$/3yrs | |||
![]() | 0 | D | 98.00 | 76 | 40 | 74 | 60 | 78 | 70 | 74 | 60 | 30 | 65 | 57 | 69 | 61 | 68 | 71 | 0 | 52 | 75 | 26 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 41 | 66 | 56 | 78 | 68 | 71 | 57 | 30 | 61 | 55 | 69 | 58 | 70 | 73 | 0 | 31 | 74 | 27 | 800,000$/1yrs | |||
![]() | 0 | D | 99.00 | 72 | 40 | 80 | 61 | 82 | 67 | 86 | 57 | 30 | 63 | 56 | 63 | 60 | 61 | 63 | 0 | 48 | 73 | 22 | 797,500$/1yrs | |||
![]() | 0 | D | 99.00 | 68 | 39 | 87 | 61 | 89 | 70 | 82 | 57 | 30 | 64 | 61 | 63 | 62 | 63 | 64 | 0 | 48 | 73 | 22 | 900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 41 | 62 | 62 | 80 | 66 | 89 | 56 | 30 | 64 | 57 | 60 | 60 | 56 | 52 | 0 | 48 | 72 | 20 | 867,500$/2yrs | |||
![]() | 0 | D | 99.00 | 62 | 39 | 85 | 61 | 74 | 68 | 86 | 57 | 30 | 63 | 57 | 65 | 60 | 58 | 56 | 0 | 48 | 72 | 20 | 829,444$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 94.00 | 71 | 38 | 84 | 65 | 80 | 73 | 77 | 63 | 42 | 65 | 64 | 66 | 65 | 67 | 68 | 0 | 44 | 75 | 25 | 950,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 38 | 92 | 62 | 75 | 67 | 68 | 61 | 69 | 64 | 59 | 59 | 62 | 61 | 62 | 0 | 28 | 71 | 22 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 40 | 79 | 64 | 77 | 67 | 87 | 59 | 64 | 61 | 63 | 59 | 62 | 56 | 54 | 0 | 20 | 71 | 19 | 831,667$/3yrs | |||
![]() | 0 | LW | 100.00 | 61 | 38 | 92 | 61 | 71 | 66 | 75 | 57 | 44 | 59 | 60 | 61 | 60 | 59 | 60 | 0 | 20 | 70 | 21 | 775,000$/1yrs | |||
![]() | 0 | D | 94.86 | 62 | 33 | 92 | 66 | 76 | 76 | 66 | 62 | 30 | 71 | 50 | 62 | 56 | 62 | 61 | 0 | 42 | 75 | 22 | 850,833$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 39 | 87 | 58 | 75 | 65 | 76 | 55 | 30 | 60 | 53 | 63 | 57 | 61 | 62 | 0 | 20 | 70 | 22 | 897,500$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 40 | 97.00 | 72 | 73 | 70 | 84 | 68 | 75 | 73 | 72 | 75 | 74 | 74 | 65 | 68 | 0 | 38 | 77 | 25 | 880,000$/1yrs |
![]() | 0 | 99.00 | 75 | 67 | 71 | 70 | 79 | 74 | 75 | 75 | 74 | 74 | 75 | 62 | 65 | 0 | 34 | 77 | 22 | 846,667$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 71 | 61 | 69 | 81 | 70 | 76 | 73 | 71 | 76 | 74 | 73 | 69 | 73 | 0 | 44 | 76 | 26 | 880,000$/2yrs |
![]() | 0 | 100.00 | 70 | 77 | 67 | 74 | 66 | 70 | 70 | 70 | 70 | 71 | 70 | 60 | 62 | 0 | 28 | 74 | 21 | 858,000$/3yrs |
![]() | 0 | 100.00 | 67 | 68 | 68 | 81 | 62 | 71 | 68 | 67 | 71 | 67 | 69 | 67 | 69 | 0 | 28 | 73 | 25 | 900,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ryan Warsofsky | 70 | 71 | 74 | 65 | 52 | 49 | 92 | USA | 35 | 2 | 1,000,000$ |
General Manager |
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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 |
# | 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 | Noel Gunler | LW/RW | 23 | 8 | 13 | 21 | 2 | 4 | 0 | 22 | 56 | 15 | 41 | 14.29% | 6 | 19.21 | 3 | 7 | 10 | 73 | 0 | 0 | 0 | 10 | 0 | 0 | 36.95% | 203 | 0 | 0 | 0 | 1 | 0.95 | 1 | 2 | ||
2 | Mikhail Maltsev | LW | 22 | 9 | 9 | 18 | 0 | 4 | 0 | 31 | 90 | 17 | 67 | 10.00% | 7 | 21.32 | 2 | 4 | 6 | 70 | 0 | 0 | 0 | 52 | 1 | 0 | 37.65% | 85 | 0 | 0 | 0 | 0 | 0.77 | 1 | 1 | ||
3 | Jordan Dumais | RW | 23 | 8 | 7 | 15 | -7 | 4 | 0 | 10 | 78 | 19 | 34 | 10.26% | 6 | 18.42 | 2 | 1 | 3 | 75 | 1 | 0 | 1 | 29 | 1 | 0 | 53.19% | 47 | 0 | 0 | 0 | 0 | 0.71 | 1 | 3 | ||
4 | Wyatt Aamodt | D | 23 | 3 | 11 | 14 | -7 | 28 | 10 | 68 | 41 | 17 | 18 | 7.32% | 26 | 22.91 | 2 | 6 | 8 | 75 | 0 | 0 | 0 | 51 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
5 | Jasper Weatherby | C/LW | 23 | 4 | 9 | 13 | 1 | 14 | 0 | 51 | 38 | 14 | 33 | 10.53% | 4 | 17.02 | 0 | 6 | 6 | 48 | 0 | 0 | 0 | 38 | 1 | 0 | 58.00% | 300 | 0 | 0 | 0 | 0 | 0.66 | 0 | 1 | ||
6 | Mikael Pyyhtia | LW | 23 | 4 | 9 | 13 | -8 | 2 | 0 | 26 | 65 | 12 | 51 | 6.15% | 9 | 20.66 | 0 | 1 | 1 | 66 | 0 | 0 | 0 | 35 | 1 | 0 | 27.27% | 33 | 0 | 0 | 0 | 0 | 0.55 | 1 | 3 | ||
7 | Matthew Robertson | D | 23 | 3 | 8 | 11 | 5 | 14 | 0 | 45 | 22 | 6 | 11 | 13.64% | 41 | 20.30 | 3 | 0 | 3 | 69 | 0 | 0 | 0 | 49 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
8 | Matthew Maggio | RW | 23 | 3 | 8 | 11 | -3 | 0 | 0 | 2 | 73 | 19 | 50 | 4.11% | 3 | 18.55 | 2 | 0 | 2 | 34 | 0 | 0 | 0 | 16 | 0 | 1 | 36.07% | 122 | 0 | 0 | 0 | 0 | 0.52 | 1 | 2 | ||
9 | Daylan Kuefler | LW | 23 | 8 | 2 | 10 | -3 | 43 | 5 | 84 | 47 | 21 | 50 | 17.02% | 4 | 16.01 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 36.84% | 19 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
10 | Santeri Hatakka | D | 19 | 3 | 6 | 9 | -3 | 4 | 0 | 8 | 15 | 7 | 14 | 20.00% | 21 | 21.02 | 2 | 1 | 3 | 27 | 0 | 0 | 0 | 46 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
11 | Ryan Suzuki | C | 23 | 5 | 4 | 9 | -8 | 4 | 0 | 58 | 59 | 25 | 36 | 8.47% | 6 | 19.84 | 0 | 1 | 1 | 74 | 0 | 0 | 0 | 37 | 1 | 0 | 47.23% | 559 | 0 | 0 | 0 | 0 | 0.39 | 0 | 2 | ||
12 | Gannon Laroque | D | 23 | 2 | 6 | 8 | -5 | 18 | 0 | 49 | 18 | 7 | 5 | 11.11% | 21 | 16.95 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 18 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
13 | Tyson Hinds | D | 23 | 0 | 8 | 8 | 1 | 6 | 0 | 16 | 21 | 9 | 17 | 0.00% | 20 | 14.66 | 0 | 1 | 1 | 45 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
14 | Tristen Nielsen | C | 23 | 4 | 3 | 7 | -3 | 2 | 0 | 13 | 50 | 9 | 46 | 8.00% | 9 | 16.31 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 52.03% | 444 | 0 | 0 | 0 | 0 | 0.37 | 0 | 1 | ||
15 | David Cotton | C | 23 | 0 | 5 | 5 | -1 | 6 | 0 | 13 | 25 | 4 | 32 | 0.00% | 0 | 8.63 | 0 | 2 | 2 | 2 | 0 | 1 | 1 | 6 | 0 | 0 | 49.00% | 249 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
16 | Brady Keeper | D | 18 | 2 | 2 | 4 | -1 | 4 | 0 | 22 | 11 | 3 | 14 | 18.18% | 8 | 11.89 | 1 | 1 | 2 | 25 | 0 | 0 | 0 | 21 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
17 | Samuel Bolduc | D | 23 | 0 | 3 | 3 | -8 | 4 | 0 | 14 | 30 | 12 | 17 | 0.00% | 31 | 19.54 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | ||
18 | Jachym Kondelik | C | 16 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 0 | 0.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 9.68 | 0 | 0 | ||
19 | Blake Murray | C | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Justin Robidas | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Ryan Hofer | C | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 422 | 66 | 114 | 180 | -47 | 161 | 15 | 532 | 740 | 216 | 537 | 8.92% | 222 | 16.14 | 17 | 31 | 48 | 752 | 1 | 1 | 2 | 473 | 11 | 4 | 47.70% | 2061 | 0 | 0 | 0 | 1 | 0.53 | 5 | 15 |
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 | Mikhail Berdin | 11 | 5 | 6 | 0 | 0.894 | 3.63 | 611 | 0 | 0 | 37 | 348 | 0 | 0 | 0 | 0.000 | 0 | 11 | 10 | 1 | 0 | 0 | |
2 | Vadim Zherenko | 11 | 5 | 3 | 2 | 0.933 | 2.24 | 643 | 0 | 1 | 24 | 357 | 0 | 0 | 0 | 0.600 | 15 | 10 | 2 | 2 | 2 | 0 | |
3 | Devin Cooley | 3 | 2 | 0 | 0 | 0.919 | 2.45 | 147 | 0 | 0 | 6 | 74 | 0 | 0 | 0 | 0.000 | 0 | 2 | 11 | 0 | 1 | 0 | |
Team Total or Average | 25 | 12 | 9 | 2 | 0.914 | 2.87 | 1402 | 0 | 1 | 67 | 779 | 0 | 0 | 0 | 0.600 | 15 | 23 | 23 | 3 | 3 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Blake Murray | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Brady Keeper | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
Danny Zhilkin | C | 19 | 831,667$ | 831,667$ | 831,667$ | 831,667$ | RFA | ||||
David Cotton | C | 26 | 900,000$ | 900,000$ | |||||||
Daylan Kuefler | LW | 21 | 840,000$ | 840,000$ | 840,000$ | 840,000$ | RFA | ||||
Devin Cooley | G | 26 | 880,000$ | 880,000$ | 880,000$ | UFA | |||||
Gannon Laroque | D | 20 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Jachym Kondelik | C | 23 | 860,000$ | 860,000$ | 860,000$ | ||||||
Jack LaFontaine | G | 25 | 900,000$ | 900,000$ | |||||||
Jasper Weatherby | C/LW | 25 | 775,000$ | 775,000$ | |||||||
Jesper Vikman | G | 21 | 858,000$ | 858,000$ | 858,000$ | 858,000$ | RFA | ||||
Jordan Dumais | RW | 19 | 891,667$ | 891,667$ | 891,667$ | 891,667$ | RFA | ||||
Justin Robidas | C | 20 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | RFA | ||||
Layton Ahac | D | 22 | 897,500$ | 897,500$ | RFA | ||||||
Matthew Maggio | RW | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Matthew Robertson | D | 22 | 797,500$ | 797,500$ | RFA | ||||||
Michael Milne | LW | 21 | 775,000$ | 775,000$ | RFA | ||||||
Mikael Pyyhtia | LW | 21 | 775,000$ | 775,000$ | RFA | ||||||
Mikhail Berdin | G | 25 | 880,000$ | 880,000$ | |||||||
Mikhail Maltsev | LW | 25 | 950,000$ | 950,000$ | |||||||
Noel Gunler | LW/RW | 22 | 862,500$ | 862,500$ | 862,500$ | RFA | |||||
Ryan Hofer | C | 21 | 851,667$ | 851,667$ | 851,667$ | 851,667$ | RFA | ||||
Ryan Suzuki | C | 22 | 863,333$ | 863,333$ | RFA | ||||||
Samuel Bolduc | D | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Santeri Hatakka | D | 22 | 850,833$ | 850,833$ | RFA | ||||||
Tristen Nielsen | C | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Tyson Hinds | D | 20 | 829,444$ | 829,444$ | 829,444$ | 829,444$ | RFA | ||||
Vadim Zherenko | G | 22 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Wyatt Aamodt | D | 26 | 850,000$ | 850,000$ | 850,000$ | UFA |
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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 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | -6 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 23 | 21 | 19 | 8 | 59 | 226 | 229 | 269 | 31 | 90 | 22 | 10 | 49 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 14.3% | 1.7% | 92.2% | 93.9 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 23 | 21 | 19 | 8 | 67 | 226 | 229 | 269 | 31 | 58 | 15 | 12 | 46 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 50.0% | 9.0% | 91.4% | 100.3 | LUCKY | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 23 | 21 | 19 | 8 | 61 | 226 | 229 | 269 | 31 | 62 | 18 | 18 | 48 | 7 | 2 | 28.57% | 9 | 2 | 77.78% | 0 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 57.1% | 9.8% | 91.9% | 101.8 | LUCKY | |
4 | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 13 | 12 | 1 | 6 | 0.750 | 13 | 20 | 33 | 0 | 0 | 23 | 21 | 19 | 8 | 127 | 226 | 229 | 269 | 31 | 153 | 56 | 28 | 94 | 10 | 2 | 20.00% | 8 | 0 | 100.00% | 1 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 47.8% | 10.2% | 92.2% | 102.4 | LUCKY | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 23 | 21 | 19 | 8 | 59 | 226 | 229 | 269 | 31 | 72 | 17 | 6 | 52 | 9 | 2 | 22.22% | 3 | 1 | 66.67% | 0 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 46.2% | 13.6% | 88.9% | 102.4 | FUN | |
6 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 12 | 20 | 0 | 0 | 23 | 21 | 19 | 8 | 89 | 226 | 229 | 269 | 31 | 87 | 22 | 31 | 60 | 13 | 3 | 23.08% | 13 | 1 | 92.31% | 0 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 41.7% | 9.0% | 90.8% | 99.8 | FUN | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 23 | 21 | 19 | 8 | 68 | 226 | 229 | 269 | 31 | 51 | 9 | 10 | 53 | 10 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 36.4% | 5.9% | 84.3% | 90.2 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 23 | 21 | 19 | 8 | 33 | 226 | 229 | 269 | 31 | 20 | 5 | 4 | 17 | 6 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 100.0% | 12.1% | 100.0% | 112.1 | LUCKY | |
9 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 15 | 13 | 2 | 4 | 0.500 | 15 | 28 | 43 | 0 | 0 | 23 | 21 | 19 | 8 | 150 | 226 | 229 | 269 | 31 | 145 | 45 | 34 | 97 | 17 | 7 | 41.18% | 16 | 4 | 75.00% | 0 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 47.1% | 10.0% | 91.0% | 101.0 | FUN | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 23 | 21 | 19 | 8 | 27 | 226 | 229 | 269 | 31 | 41 | 13 | 8 | 16 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 40.0% | 7.4% | 92.7% | 100.1 | DULL | |
_Vs Division | 17 | 6 | 7 | 0 | 3 | 0 | 1 | 1 | 51 | 51 | 0 | 21 | 0.618 | 51 | 89 | 140 | 0 | 1 | 23 | 21 | 19 | 8 | 544 | 226 | 229 | 269 | 31 | 608 | 180 | 121 | 385 | 65 | 14 | 21.54% | 50 | 7 | 86.00% | 1 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 45.7% | 9.4% | 91.6% | 101.0 | LUCKY | |
_Vs Conference | 23 | 8 | 9 | 0 | 3 | 0 | 1 | 2 | 67 | 69 | -2 | 26 | 0.565 | 67 | 114 | 181 | 0 | 1 | 23 | 21 | 19 | 8 | 740 | 226 | 229 | 269 | 31 | 779 | 222 | 161 | 532 | 87 | 17 | 19.54% | 69 | 10 | 85.51% | 1 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 45.9% | 9.1% | 91.1% | 100.2 | Unlucky | |
_Since Last GM Reset | 23 | 8 | 9 | 0 | 3 | 0 | 1 | 2 | 67 | 69 | -2 | 26 | 0.565 | 67 | 114 | 181 | 0 | 1 | 23 | 21 | 19 | 8 | 740 | 226 | 229 | 269 | 31 | 779 | 222 | 161 | 532 | 87 | 17 | 19.54% | 69 | 10 | 85.51% | 1 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 45.9% | 9.1% | 91.1% | 100.2 | Unlucky | |
Total | 23 | 8 | 9 | 0 | 3 | 0 | 1 | 2 | 67 | 69 | -2 | 26 | 0.565 | 67 | 114 | 181 | 0 | 1 | 23 | 21 | 19 | 8 | 740 | 226 | 229 | 269 | 31 | 779 | 222 | 161 | 532 | 87 | 17 | 19.54% | 69 | 10 | 85.51% | 1 | 398 | 822 | 48.42% | 426 | 880 | 48.41% | 159 | 333 | 47.75% | 550 | 377 | 553 | 179 | 299 | 147 | 45.9% | 9.1% | 91.1% | 100.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 822 |
Neutral Zone Start | 333 |
Defensive Zone Start | 880 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 983 |
Faceoffs Lost | 1052 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 49 |
---|---|
PP Goal | 17 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 6 |
Lost | 4 | 5 |
Overtime Lost | 2 | 0 |
PP Attempt | 87 |
---|---|
PP Goal | 17 |
PK Attempt | 69 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.2 |
Shots Against | 33.9 |
Goals For | 2.9 |
Goals Against | 3.0 |
Hits | 23.1 |
Shots Blocked | 9.7 |
Pim | 7.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,280,245$ | 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 |
24 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,280,245$ | 2,280,245$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
1,047,561$ | 11,694$ | 739,880$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 132 | 16,822$ | 2,270,970$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,270,970$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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