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Full Scoreboard »» |
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Full Scoreboard »» |
Vegas Golden Knights 26-35-8, 60pts · 13th 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 | LW/RW | 100.00 | 65 | 32 | 87 | 75 | 66 | 80 | 90 | 74 | 59 | 78 | 74 | 66 | 74 | 80 | 78 | 0 | 26 | 84 | 32 | 5,500,000$/3yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 57 | 33 | 97 | 72 | 79 | 83 | 88 | 71 | 60 | 77 | 72 | 71 | 72 | 82 | 91 | 0 | 30 | 83 | 33 | 5,000,000$/2yrs | |||
![]() | 16 | C/LW/RW | 98.00 | 64 | 32 | 89 | 69 | 75 | 76 | 87 | 74 | 61 | 74 | 75 | 71 | 75 | 78 | 77 | 0 | 30 | 82 | 31 | 4,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 34 | 92 | 69 | 89 | 78 | 84 | 68 | 60 | 70 | 69 | 83 | 68 | 66 | 65 | 0 | 55 | 82 | 24 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 85 | 44 | 66 | 69 | 95 | 79 | 82 | 70 | 59 | 72 | 68 | 73 | 69 | 69 | 65 | 0 | 70 | 81 | 26 | 3,000,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 73 | 33 | 87 | 68 | 79 | 78 | 86 | 70 | 58 | 72 | 71 | 62 | 71 | 81 | 80 | 0 | 30 | 80 | 33 | 3,100,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 76 | 32 | 83 | 68 | 68 | 78 | 73 | 70 | 63 | 72 | 70 | 64 | 70 | 80 | 78 | 0 | 30 | 80 | 32 | 5,000,000$/2yrs | |||
![]() | 0 | C | 99.00 | 90 | 44 | 69 | 69 | 86 | 71 | 81 | 71 | 61 | 68 | 73 | 64 | 72 | 64 | 61 | 0 | 69 | 79 | 23 | 1,250,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 70 | 33 | 91 | 67 | 76 | 76 | 90 | 67 | 59 | 68 | 67 | 69 | 67 | 69 | 68 | 0 | 31 | 78 | 26 | 3,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 32 | 95 | 71 | 71 | 76 | 83 | 66 | 73 | 68 | 70 | 61 | 68 | 65 | 65 | 0 | 30 | 77 | 24 | 1,750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 86 | 41 | 50 | 69 | 64 | 69 | 66 | 64 | 65 | 73 | 68 | 66 | 71 | 62 | 57 | 0 | 56 | 76 | 23 | 925,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 34 | 87 | 67 | 89 | 74 | 76 | 63 | 79 | 66 | 66 | 66 | 64 | 67 | 65 | 0 | 29 | 76 | 25 | 842,500$/1yrs | |||
![]() | 0 | D | 99.00 | 78 | 32 | 80 | 66 | 74 | 86 | 88 | 71 | 30 | 73 | 58 | 87 | 65 | 75 | 73 | 0 | 30 | 85 | 29 | 3,000,000$/2yrs | |||
![]() | 0 | D | 98.00 | 78 | 41 | 67 | 64 | 96 | 91 | 90 | 71 | 30 | 72 | 54 | 90 | 63 | 81 | 84 | 0 | 30 | 85 | 33 | 6,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 70 | 32 | 99 | 74 | 74 | 67 | 65 | 77 | 30 | 95 | 50 | 52 | 63 | 73 | 73 | 0 | 13 | 83 | 28 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 33 | 95 | 68 | 75 | 89 | 88 | 67 | 30 | 74 | 63 | 76 | 65 | 78 | 78 | 0 | 27 | 82 | 31 | 5,950,000$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 32 | 88 | 70 | 65 | 91 | 85 | 69 | 30 | 75 | 64 | 74 | 66 | 66 | 65 | 0 | 19 | 82 | 24 | 4,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 35 | 83 | 57 | 77 | 84 | 86 | 63 | 30 | 64 | 62 | 84 | 62 | 79 | 77 | 0 | 27 | 80 | 31 | 3,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 58 | 32 | 93 | 76 | 70 | 78 | 78 | 68 | 55 | 68 | 72 | 66 | 70 | 67 | 66 | 0 | 20 | 79 | 25 | 875,000$/1yrs | |||
![]() | 0 | D | 100.00 | 89 | 67 | 50 | 69 | 95 | 80 | 90 | 62 | 30 | 71 | 70 | 69 | 66 | 62 | 57 | 0 | 15 | 79 | 22 | 828,333$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 32 | 85 | 69 | 67 | 81 | 69 | 65 | 30 | 75 | 50 | 62 | 58 | 65 | 64 | 0 | 19 | 77 | 24 | 2,500,000$/3yrs | |||
TEAM AVERAGE | 99.67 | 72 | 36 | 83 | 69 | 78 | 79 | 82 | 69 | 50 | 73 | 66 | 70 | 68 | 72 | 71 | 0 | 33 | 80 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 85 | 95 | 83 | 84 | 84 | 78 | 86 | 94 | 82 | 95 | 86 | 81 | 85 | 0 | 17 | 90 | 33 | 3,000,000$/1yrs |
![]() | 40 | 100.00 | 72 | 73 | 70 | 84 | 68 | 75 | 73 | 72 | 75 | 74 | 74 | 65 | 68 | 0 | 55 | 77 | 25 | 880,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 98.00 | 76 | 73 | 71 | 86 | 78 | 75 | 79 | 84 | 77 | 84 | 79 | 73 | 77 | 0 | 14 | 82 | 28 | 2,700,000$/1yrs |
TEAM AVERAGE | 99.33 | 78 | 80 | 75 | 85 | 77 | 76 | 79 | 83 | 78 | 84 | 80 | 73 | 77 | 0 | 29 | 83 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andre Tourigny | 81 | 64 | 77 | 72 | 79 | 75 | 64 | CAN | 58 | 2 | 500,000$ |
General Manager | David Paul |
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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 | Calle Jarnkrok | 16 | C/LW/RW | 69 | 15 | 22 | 37 | -10 | 20 | 0 | 100 | 145 | 42 | 108 | 10.34% | 10 | 20.58 | 3 | 6 | 9 | 200 | 0 | 0 | 0 | 225 | 2 | 0 | 44.82% | 1921 | 0 | 0 | 1 | 0 | 0.52 | 1 | 1 | |
2 | Josh Bailey | 0 | C/LW/RW | 69 | 12 | 23 | 35 | -7 | 8 | 0 | 31 | 156 | 52 | 88 | 7.69% | 8 | 17.98 | 1 | 8 | 9 | 215 | 0 | 0 | 0 | 49 | 0 | 1 | 38.74% | 111 | 0 | 0 | 0 | 0 | 0.56 | 1 | 6 | |
3 | Tyler Myers | 0 | D | 69 | 11 | 22 | 33 | -15 | 76 | 0 | 208 | 91 | 33 | 66 | 12.09% | 117 | 24.60 | 7 | 5 | 12 | 217 | 0 | 0 | 0 | 183 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
4 | Tomas Tatar | 0 | LW/RW | 69 | 14 | 17 | 31 | -8 | 37 | 5 | 99 | 148 | 41 | 107 | 9.46% | 8 | 17.41 | 4 | 4 | 8 | 186 | 0 | 0 | 0 | 34 | 4 | 0 | 51.61% | 93 | 0 | 0 | 0 | 0 | 0.52 | 1 | 2 | |
5 | Dylan DeMelo | 0 | D | 69 | 11 | 19 | 30 | 5 | 40 | 0 | 107 | 51 | 26 | 28 | 21.57% | 108 | 20.20 | 2 | 1 | 3 | 67 | 0 | 0 | 0 | 180 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
6 | Samuel Girard | 0 | D | 65 | 7 | 23 | 30 | -13 | 16 | 0 | 44 | 73 | 26 | 50 | 9.59% | 75 | 22.79 | 3 | 7 | 10 | 155 | 1 | 0 | 1 | 126 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
7 | Nate Schmidt | 0 | D | 69 | 3 | 24 | 27 | -13 | 9 | 5 | 29 | 84 | 32 | 59 | 3.57% | 69 | 17.73 | 2 | 6 | 8 | 183 | 0 | 0 | 0 | 90 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
8 | Craig Smith | 0 | RW | 69 | 10 | 16 | 26 | -13 | 12 | 0 | 71 | 126 | 32 | 89 | 7.94% | 4 | 14.14 | 3 | 7 | 10 | 183 | 0 | 0 | 0 | 0 | 0 | 1 | 48.15% | 81 | 0 | 0 | 0 | 0 | 0.53 | 0 | 3 | |
9 | Calvin de Haan | 0 | D | 69 | 6 | 18 | 24 | -14 | 83 | 5 | 163 | 78 | 30 | 57 | 7.69% | 82 | 20.56 | 2 | 1 | 3 | 184 | 0 | 1 | 1 | 155 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
10 | Jordan Greenway | 0 | LW/RW | 68 | 12 | 8 | 20 | -1 | 47 | 5 | 119 | 85 | 17 | 52 | 14.12% | 5 | 12.37 | 0 | 1 | 1 | 41 | 0 | 0 | 0 | 122 | 1 | 1 | 39.24% | 79 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
11 | Jesper Boqvist | 0 | C/LW/RW | 69 | 9 | 9 | 18 | 4 | 22 | 0 | 37 | 93 | 21 | 51 | 9.68% | 4 | 14.58 | 0 | 1 | 1 | 70 | 0 | 1 | 1 | 64 | 0 | 2 | 48.26% | 201 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
12 | Tyler Johnson | 0 | C/LW/RW | 69 | 5 | 10 | 15 | -4 | 12 | 0 | 56 | 63 | 15 | 37 | 7.94% | 7 | 9.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 49.00% | 700 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
13 | Oskar Lindblom | 0 | LW | 69 | 9 | 5 | 14 | -5 | 17 | 5 | 37 | 84 | 16 | 52 | 10.71% | 10 | 12.38 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 73 | 1 | 0 | 36.92% | 65 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
14 | Klim Kostin | 0 | C | 16 | 1 | 7 | 8 | -5 | 12 | 0 | 55 | 19 | 6 | 24 | 5.26% | 1 | 18.33 | 0 | 1 | 1 | 41 | 0 | 0 | 0 | 34 | 0 | 0 | 41.19% | 352 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
15 | Markus Nutivaara | 0 | D | 58 | 2 | 6 | 8 | 4 | 40 | 0 | 67 | 9 | 5 | 5 | 22.22% | 31 | 15.00 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
16 | Jasper Weatherby | 0 | C/LW | 61 | 3 | 4 | 7 | -10 | 10 | 0 | 39 | 37 | 8 | 32 | 8.11% | 3 | 8.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.59% | 39 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
17 | Morgan Barron | 0 | C/LW/RW | 16 | 2 | 2 | 4 | 0 | 6 | 0 | 10 | 35 | 6 | 18 | 5.71% | 0 | 11.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 41.33% | 196 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
18 | Liam Kirk | 0 | C | 16 | 0 | 2 | 2 | 1 | 17 | 5 | 30 | 8 | 3 | 7 | 0.00% | 1 | 9.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
19 | Arber Xhekaj | 0 | D | 10 | 0 | 1 | 1 | -3 | 14 | 0 | 35 | 8 | 2 | 0 | 0.00% | 8 | 16.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
20 | Scott Perunovich | 0 | D | 5 | 0 | 0 | 0 | 0 | 5 | 5 | 3 | 0 | 0 | 0 | 0.00% | 2 | 14.53 | 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 | 1074 | 132 | 238 | 370 | -107 | 503 | 35 | 1340 | 1393 | 413 | 930 | 9.48% | 553 | 16.48 | 27 | 48 | 75 | 1759 | 1 | 2 | 3 | 1385 | 16 | 8 | 45.05% | 3845 | 0 | 0 | 1 | 0 | 0.42 | 3 | 12 |
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 | Martin Jones | 42 | 16 | 17 | 5 | 0.899 | 2.95 | 2275 | 2 | 2 | 112 | 1105 | 0 | 1 | 1 | 0.667 | 9 | 40 | 25 | 7 | 0 | 2 | |
2 | Chris Driedger | 18 | 3 | 11 | 3 | 0.896 | 3.18 | 963 | 2 | 0 | 51 | 491 | 0 | 1 | 1 | 0.833 | 6 | 17 | 20 | 2 | 0 | 0 | |
3 | Mikhail Berdin | 2 | 0 | 0 | 0 | 0.932 | 2.73 | 88 | 0 | 0 | 4 | 59 | 0 | 0 | 0 | 0.000 | 0 | 0 | 6 | 0 | 0 | 0 | |
Team Total or Average | 62 | 19 | 28 | 8 | 0.899 | 3.01 | 3327 | 4 | 2 | 167 | 1655 | 0 | 2 | 2 | 0.733 | 15 | 57 | 51 | 9 | 0 | 2 |
Projected Total Cap Hit | 67,530,507$ |
Projected Cap Space | 14,969,493$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 59,259,678$ |
Players In Salary Cap | 18 |
LTIR Players | 6 |
Golden Knights Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Arber Xhekaj ![]() | D | 22 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Calle Jarnkrok | C/LW/RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Calvin de Haan | D | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Chris Driedger ![]() | G | 28 | 2,700,000$ | 2,700,000$ | UFA | ||||||
Craig Smith | RW | 33 | 3,100,000$ | 3,100,000$ | UFA | ||||||
Dylan DeMelo | D | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Jasper Weatherby ![]() | C/LW | 25 | 842,500$ | 842,500$ | |||||||
Jesper Boqvist | C/LW/RW | 24 | 1,750,000$ | 1,750,000$ | RFA | ||||||
Jonathan Dahlen ![]() | LW | 25 | 875,000$ | 875,000$ | |||||||
Jordan Greenway | LW/RW | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Josh Bailey | C/LW/RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Klim Kostin ![]() ![]() | C | 23 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
Liam Kirk ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Markus Nutivaara ![]() ![]() | D | 28 | 850,000$ | 850,000$ | UFA | ||||||
Martin Jones ![]() | G | 33 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Mikhail Berdin ![]() ![]() | G | 25 | 880,000$ | 880,000$ | 880,000$ | ||||||
Morgan Barron ![]() ![]() | C/LW/RW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Nate Schmidt | D | 31 | 5,950,000$ | 5,950,000$ | 5,950,000$ | 5,950,000$ | UFA | ||||
Oskar Lindblom | LW | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Samuel Girard | D | 24 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Scott Perunovich | D | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Tomas Tatar | LW/RW | 32 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Tyler Johnson | C/LW/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Tyler Myers | D | 33 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brady Keeper ![]() | D | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Cam Lee ![]() | D | 26 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Cole Fonstad ![]() | LW | 22 | 750,000$ | 750,000$ | RFA | ||||||
David Cotton ![]() | C | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Devin Cooley ![]() ![]() | G | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Gannon Laroque ![]() | D | 19 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Greg Meireles ![]() | RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Isaiah Saville ![]() ![]() | G | 22 | 750,000$ | 750,000$ | RFA | ||||||
Jachym Kondelik ![]() | C | 23 | 855,000$ | 855,000$ | RFA | ||||||
Jack Ahcan ![]() | D | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Jack LaFontaine ![]() | G | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Jussi Olkinuora ![]() | G | 32 | 750,000$ | 750,000$ | UFA | ||||||
Kyle Capobianco ![]() ![]() | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Layton Ahac ![]() | D | 22 | 897,500$ | 897,500$ | 897,500$ | RFA | |||||
Martin Pospisil ![]() ![]() | RW | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Matt Filipe ![]() ![]() | C/LW | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Matthew Robertson ![]() | D | 22 | 797,500$ | 797,500$ | 797,500$ | RFA | |||||
Maxim Marushev ![]() | C | 24 | 810,000$ | 810,000$ | 810,000$ | ![]() | |||||
Mikhail Maltsev ![]() | LW | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Nate Schnarr ![]() | C | 24 | 850,000$ | 850,000$ | RFA | ||||||
Roland McKeown ![]() ![]() | D | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Ryan Suzuki ![]() | C | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Sakari Manninen ![]() | C/LW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Samuel Bolduc ![]() | D | 22 | 925,000$ | 925,000$ | RFA | ||||||
Santeri Hatakka ![]() | D | 22 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Tristen Nielsen ![]() | C | 23 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | ![]() | ||||
Vladimir Tkachev ![]() ![]() | LW | 27 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Wyatt Aamodt ![]() | D | 25 | 925,000$ | 925,000$ | ![]() |
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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 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.167 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 71 | 31 | 23 | 15 | 2 | 82 | 21 | 33 | 72 | 8 | 1 | 12.50% | 12 | 2 | 83.33% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 63 | 41 | 80 | 23 | 39 | 18 | 37.5% | 5.6% | 91.5% | 97.1 | DULL | |
2 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 10 | -7 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 51 | 23 | 14 | 13 | 1 | 71 | 12 | 18 | 42 | 7 | 1 | 14.29% | 9 | 3 | 66.67% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 42 | 29 | 54 | 15 | 25 | 11 | 22.2% | 5.9% | 85.9% | 91.8 | Unlucky | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 44 | 11 | 16 | 17 | 0 | 64 | 24 | 14 | 36 | 6 | 3 | 50.00% | 5 | 1 | 80.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 39 | 25 | 56 | 14 | 24 | 11 | 28.6% | 11.4% | 90.6% | 102.0 | FUN | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 0 | 66 | 17 | 23 | 26 | 0 | 48 | 19 | 4 | 49 | 12 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 54 | 38 | 41 | 14 | 24 | 13 | 55.6% | 7.6% | 89.6% | 97.2 | Unlucky | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 42 | 13 | 16 | 13 | 0 | 72 | 18 | 16 | 43 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 37 | 24 | 57 | 14 | 24 | 11 | 50.0% | 7.1% | 93.1% | 100.2 | DULL | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 54 | 13 | 20 | 21 | 0 | 60 | 7 | 20 | 40 | 10 | 2 | 20.00% | 8 | 0 | 100.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 46 | 30 | 49 | 15 | 24 | 12 | 36.4% | 11.1% | 88.3% | 99.4 | FUN | |
7 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 14 | 21 | 1 | 0 | 3 | 2 | 2 | 0 | 65 | 22 | 24 | 19 | 0 | 79 | 30 | 25 | 64 | 10 | 1 | 10.00% | 10 | 1 | 90.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 70 | 47 | 70 | 21 | 38 | 19 | 37.5% | 10.8% | 86.1% | 96.8 | FUN | |
8 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 9 | -2 | 1 | 0.250 | 7 | 12 | 19 | 0 | 0 | 2 | 0 | 5 | 0 | 52 | 14 | 14 | 23 | 1 | 52 | 20 | 14 | 39 | 10 | 2 | 20.00% | 6 | 1 | 83.33% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 47 | 32 | 48 | 15 | 25 | 12 | 38.5% | 13.5% | 82.7% | 96.2 | FUN | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 49 | 17 | 15 | 17 | 0 | 73 | 22 | 14 | 38 | 7 | 2 | 28.57% | 6 | 2 | 66.67% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 41 | 28 | 53 | 14 | 25 | 12 | 33.3% | 10.2% | 89.0% | 99.2 | FUN | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 0 | 3 | 2 | 0 | 45 | 16 | 16 | 13 | 0 | 68 | 15 | 22 | 49 | 6 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 39 | 24 | 54 | 16 | 26 | 12 | 83.3% | 11.1% | 97.1% | 108.2 | LUCKY | |
11 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 4 | 7 | 1 | 0 | 3 | 0 | 0 | 0 | 47 | 25 | 10 | 12 | 0 | 47 | 23 | 16 | 45 | 8 | 1 | 12.50% | 8 | 0 | 100.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 45 | 29 | 48 | 15 | 27 | 14 | 25.0% | 6.4% | 87.2% | 93.6 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 30 | 8 | 13 | 9 | 0 | 29 | 3 | 8 | 21 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 23 | 16 | 24 | 8 | 11 | 5 | 33.3% | 6.7% | 89.7% | 96.3 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 52 | 16 | 21 | 15 | 0 | 59 | 15 | 35 | 34 | 2 | 2 | 100.00% | 10 | 3 | 70.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 43 | 29 | 50 | 16 | 25 | 11 | 37.5% | 9.6% | 86.4% | 96.1 | FUN | |
14 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.667 | 8 | 15 | 23 | 0 | 1 | 1 | 5 | 2 | 0 | 80 | 22 | 29 | 29 | 0 | 96 | 28 | 18 | 54 | 11 | 2 | 18.18% | 8 | 0 | 100.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 66 | 45 | 76 | 20 | 36 | 18 | 50.0% | 10.0% | 93.8% | 103.8 | LUCKY | |
15 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 1 | 2 | 50 | 17 | 19 | 12 | 6 | 57 | 12 | 20 | 40 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 51 | 36 | 46 | 14 | 26 | 13 | 40.0% | 6.0% | 93.0% | 99.0 | DULL | |
16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 36 | 13 | 7 | 16 | 0 | 59 | 20 | 20 | 53 | 5 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 40 | 25 | 52 | 16 | 27 | 12 | 42.9% | 8.3% | 88.1% | 96.5 | Unlucky | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 1 | 5 | 1 | 0 | 50 | 20 | 19 | 11 | 0 | 63 | 20 | 41 | 33 | 6 | 3 | 50.00% | 10 | 2 | 80.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 45 | 31 | 50 | 14 | 24 | 12 | 80.0% | 14.0% | 95.2% | 109.2 | LUCKY | |
18 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 79 | 29 | 23 | 25 | 2 | 105 | 11 | 20 | 62 | 8 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 71 | 49 | 74 | 20 | 38 | 19 | 53.8% | 8.9% | 92.4% | 101.2 | Unlucky | |
19 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 8 | 5 | 3 | 6 | 1.000 | 8 | 13 | 21 | 0 | 0 | 1 | 2 | 3 | 2 | 72 | 24 | 21 | 25 | 4 | 96 | 29 | 19 | 60 | 9 | 0 | 0.00% | 8 | 0 | 100.00% | 1 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 67 | 45 | 80 | 22 | 37 | 18 | 61.5% | 11.1% | 94.8% | 105.9 | LUCKY | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 45 | 16 | 13 | 16 | 0 | 64 | 13 | 12 | 35 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 43 | 29 | 50 | 15 | 25 | 12 | 16.7% | 4.4% | 89.1% | 93.5 | Unlucky | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 18 | 27 | 0 | 0 | 3 | 4 | 2 | 0 | 61 | 22 | 24 | 15 | 0 | 47 | 13 | 10 | 36 | 7 | 3 | 42.86% | 4 | 1 | 75.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 47 | 33 | 46 | 14 | 25 | 12 | 46.2% | 14.8% | 83.0% | 97.7 | FUN | |
22 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 1 | 1 | 80 | 21 | 28 | 27 | 6 | 97 | 34 | 22 | 66 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 68 | 47 | 77 | 22 | 39 | 19 | 50.0% | 7.5% | 92.8% | 100.3 | DULL | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 52 | 11 | 18 | 23 | 0 | 74 | 19 | 18 | 61 | 8 | 1 | 12.50% | 8 | 4 | 50.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 42 | 28 | 54 | 15 | 23 | 11 | 33.3% | 5.8% | 89.2% | 95.0 | Unlucky | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 4 | 15 | 9 | 0 | 33 | 9 | 4 | 21 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 22 | 15 | 24 | 6 | 12 | 6 | 0.0% | 3.6% | 84.8% | 88.4 | Unlucky | |
25 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 8 | -1 | 3 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 1 | 4 | 0 | 86 | 24 | 31 | 30 | 4 | 105 | 17 | 16 | 65 | 13 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 72 | 49 | 73 | 22 | 39 | 19 | 53.8% | 8.1% | 92.4% | 100.5 | DULL | |
26 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 8 | 0 | 3 | 0.500 | 8 | 16 | 24 | 0 | 0 | 5 | 1 | 2 | 0 | 96 | 30 | 35 | 28 | 5 | 99 | 34 | 16 | 64 | 7 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 73 | 51 | 74 | 20 | 37 | 18 | 53.3% | 8.3% | 91.9% | 100.3 | DULL | |
27 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 4 | 1 | 1 | 0 | 37 | 11 | 14 | 12 | 0 | 58 | 13 | 20 | 47 | 4 | 1 | 25.00% | 10 | 0 | 100.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 40 | 25 | 52 | 17 | 27 | 13 | 71.4% | 16.2% | 96.6% | 112.8 | LUCKY | |
28 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 63 | 18 | 20 | 25 | 0 | 55 | 10 | 14 | 37 | 10 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 47 | 32 | 46 | 15 | 25 | 12 | 36.4% | 6.3% | 81.8% | 88.2 | Unlucky | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 2 | 3 | 1 | 0 | 57 | 13 | 21 | 23 | 0 | 49 | 16 | 10 | 40 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 48 | 33 | 46 | 13 | 25 | 12 | 41.7% | 10.5% | 85.7% | 96.2 | FUN | |
30 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 6 | 1 | 5 | 0.833 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 2 | 2 | 95 | 31 | 33 | 31 | 6 | 89 | 34 | 17 | 72 | 11 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 75 | 52 | 71 | 21 | 38 | 20 | 58.3% | 7.4% | 93.3% | 100.6 | DULL | |
31 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 3 | 0 | 71 | 24 | 25 | 22 | 0 | 65 | 16 | 14 | 37 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 47 | 32 | 45 | 14 | 26 | 14 | 66.7% | 11.3% | 92.3% | 103.6 | LUCKY | |
_Vs Division | 18 | 9 | 5 | 0 | 0 | 2 | 1 | 1 | 47 | 43 | 4 | 23 | 0.639 | 47 | 86 | 133 | 0 | 1 | 14 | 20 | 12 | 2 | 515 | 174 | 185 | 151 | 13 | 553 | 168 | 174 | 366 | 52 | 8 | 15.38% | 60 | 10 | 83.33% | 0 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 415 | 284 | 450 | 131 | 227 | 113 | 54.2% | 9.1% | 92.2% | 101.4 | LUCKY | |
_Vs Conference | 38 | 14 | 14 | 0 | 1 | 3 | 4 | 2 | 93 | 91 | 2 | 43 | 0.566 | 93 | 165 | 258 | 1 | 2 | 28 | 33 | 27 | 7 | 1014 | 330 | 358 | 310 | 35 | 1179 | 317 | 324 | 791 | 111 | 13 | 11.71% | 125 | 19 | 84.80% | 1 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 880 | 601 | 950 | 280 | 486 | 241 | 52.6% | 9.2% | 92.3% | 101.5 | LUCKY | |
_Since Last GM Reset | 69 | 21 | 35 | 0 | 1 | 6 | 4 | 2 | 163 | 201 | -38 | 60 | 0.435 | 163 | 292 | 455 | 2 | 3 | 54 | 54 | 50 | 7 | 1806 | 576 | 620 | 592 | 37 | 2115 | 577 | 550 | 1455 | 229 | 31 | 13.54% | 226 | 44 | 80.53% | 1 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 1567 | 1063 | 1734 | 512 | 881 | 433 | 45.7% | 9.0% | 90.5% | 99.5 | FUN | |
Total | 69 | 21 | 35 | 0 | 1 | 6 | 4 | 2 | 163 | 201 | -38 | 60 | 0.435 | 163 | 292 | 455 | 2 | 3 | 54 | 54 | 50 | 7 | 1806 | 576 | 620 | 592 | 37 | 2115 | 577 | 550 | 1455 | 229 | 31 | 13.54% | 226 | 44 | 80.53% | 1 | 1026 | 2181 | 47.04% | 1086 | 2338 | 46.45% | 466 | 1036 | 44.98% | 1567 | 1063 | 1734 | 512 | 881 | 433 | 45.7% | 9.0% | 90.5% | 99.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 2181 |
Neutral Zone Start | 1036 |
Defensive Zone Start | 2338 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2578 |
Faceoffs Lost | 2977 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.3 | 9.57 |
2nd Period | 17.3 | 20.31 |
3rd Period | 25.9 | 30.68 |
Overtime | 26.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 129 |
---|---|
PP Goal | 31 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 15 | 11 |
Lost | 15 | 20 |
Overtime Lost | 6 | 2 |
PP Attempt | 229 |
---|---|
PP Goal | 31 |
PK Attempt | 226 |
PK Goal Against | 44 |
Home | |
---|---|
Shots For | 26.2 |
Shots Against | 30.7 |
Goals For | 2.4 |
Goals Against | 2.9 |
Hits | 21.1 |
Shots Blocked | 8.4 |
Pim | 8.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-11 | @ | Golden Knights3,Kings0 | RECAP | |||||||||||
2022-10-13 | @ | Blackhawks3,Golden Knights4 (SO) | RECAP | |||||||||||
2022-10-15 | @ | Golden Knights2,Kraken1 | RECAP | |||||||||||
2022-10-18 | @ | Golden Knights1,Flames2 | RECAP | |||||||||||
2022-10-20 | @ | Jets5,Golden Knights2 | RECAP | |||||||||||
2022-10-22 | @ | Avalanche3,Golden Knights2 | RECAP | |||||||||||
2022-10-24 | @ | Maple Leafs6,Golden Knights2 | RECAP | |||||||||||
2022-10-25 | @ | Golden Knights3,Sharks2 | RECAP | |||||||||||
2022-10-28 | @ | Ducks3,Golden Knights2 (SO) | RECAP | |||||||||||
2022-10-30 | @ | Jets2,Golden Knights1 (SO) | RECAP | |||||||||||
2022-11-01 | @ | Golden Knights3,Capitals4 (OT) | RECAP | |||||||||||
2022-11-03 | @ | Golden Knights4,Senators1 | RECAP | |||||||||||
2022-11-05 | @ | Golden Knights3,Canadiens2 | RECAP | |||||||||||
2022-11-08 | @ | Golden Knights2,Maple Leafs4 | RECAP | |||||||||||
2022-11-10 | @ | Golden Knights4,Sabres5 | RECAP | |||||||||||
2022-11-12 | @ | Blues3,Golden Knights2 (OT) | RECAP | |||||||||||
2022-11-15 | @ | Sharks3,Golden Knights2 (OT) | RECAP | |||||||||||
2022-11-17 | @ | Coyotes1,Golden Knights2 (OT) | RECAP | |||||||||||
2022-11-19 | @ | Golden Knights3,Oilers2 | RECAP | |||||||||||
2022-11-21 | @ | Golden Knights4,Canucks1 | RECAP | |||||||||||
2022-11-23 | @ | Senators4,Golden Knights1 | RECAP | |||||||||||
2022-11-25 | @ | Kraken4,Golden Knights6 | RECAP | |||||||||||
2022-11-26 | @ | Canucks7,Golden Knights1 | RECAP | |||||||||||
2022-11-28 | @ | Golden Knights1,Blue Jackets5 | RECAP | |||||||||||
2022-12-01 | @ | Golden Knights2,Penguins4 | RECAP | |||||||||||
2022-12-03 | @ | Golden Knights4,Red Wings5 | RECAP | |||||||||||
2022-12-05 | @ | Golden Knights2,Bruins4 | RECAP | |||||||||||
2022-12-07 | @ | Rangers5,Golden Knights4 | RECAP | |||||||||||
2022-12-09 | @ | Flyers3,Golden Knights2 (OT) | RECAP | |||||||||||
2022-12-11 | @ | Bruins3,Golden Knights0 | RECAP | |||||||||||
2022-12-13 | @ | Golden Knights4,Jets1 | RECAP | |||||||||||
2022-12-15 | @ | Golden Knights2,Blackhawks3 | RECAP | |||||||||||
2022-12-17 | @ | Islanders2,Golden Knights1 | RECAP | |||||||||||
2022-12-19 | @ | Sabres3,Golden Knights5 | RECAP | |||||||||||
2022-12-21 | @ | Coyotes2,Golden Knights3 (SO) | RECAP | |||||||||||
2022-12-23 | @ | Blues1,Golden Knights3 | RECAP | |||||||||||
2022-12-27 | @ | Golden Knights1,Kings5 | RECAP | |||||||||||
2022-12-28 | @ | Golden Knights5,Ducks3 | RECAP | |||||||||||
2022-12-31 | @ | Predators3,Golden Knights1 | RECAP | |||||||||||
2023-01-02 | @ | Golden Knights3,Avalanche4 | RECAP | |||||||||||
2023-01-05 | @ | Penguins3,Golden Knights4 | RECAP | |||||||||||
2023-01-07 | @ | Kings1,Golden Knights4 | RECAP | |||||||||||
2023-01-12 | @ | Panthers3,Golden Knights0 | RECAP | |||||||||||
2023-01-14 | @ | Oilers1,Golden Knights4 | RECAP | |||||||||||
2023-01-16 | @ | Stars0,Golden Knights3 | RECAP | |||||||||||
2023-01-19 | @ | Red Wings3,Golden Knights1 | RECAP | |||||||||||
2023-01-21 | @ | Capitals2,Golden Knights0 | RECAP | |||||||||||
2023-01-22 | @ | Golden Knights3,Coyotes2 | RECAP | |||||||||||
2023-01-24 | @ | Golden Knights2,Devils4 | RECAP | |||||||||||
2023-01-27 | @ | Golden Knights3,Rangers4 (OT) | RECAP | |||||||||||
2023-01-28 | @ | Golden Knights2,Islanders3 | RECAP | |||||||||||
2023-02-07 | @ | Golden Knights2,Predators1 (SO) | RECAP | |||||||||||
2023-02-09 | @ | Golden Knights2,Wild3 | RECAP | |||||||||||
2023-02-12 | @ | Ducks2,Golden Knights1 | RECAP | |||||||||||
2023-02-16 | @ | Sharks1,Golden Knights2 (SO) | RECAP | |||||||||||
2023-02-18 | @ | Lightning4,Golden Knights1 | RECAP | |||||||||||
2023-02-21 | @ | Golden Knights0,Blackhawks1 | RECAP | |||||||||||
2023-02-23 | @ | Flames4,Golden Knights3 (OT) | RECAP | |||||||||||
2023-02-25 | @ | Stars2,Golden Knights3 | RECAP | |||||||||||
2023-02-27 | @ | Golden Knights2,Avalanche4 | RECAP | |||||||||||
2023-03-01 | @ | Hurricanes2,Golden Knights4 | RECAP | |||||||||||
2023-03-03 | @ | Devils2,Golden Knights3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-05 | @ | Canadiens0,Golden Knights2 | RECAP | |||||||||||
2023-03-07 | @ | Golden Knights3,Panthers5 | RECAP | |||||||||||
2023-03-09 | @ | Golden Knights2,Lightning3 | RECAP | |||||||||||
2023-03-11 | @ | Golden Knights2,Hurricanes5 | RECAP | |||||||||||
2023-03-12 | @ | Golden Knights2,Blues4 | RECAP | |||||||||||
2023-03-14 | @ | Golden Knights1,Flyers7 | RECAP | |||||||||||
2023-03-16 | @ | Flames1,Golden Knights0 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
67,500,833$ | 0$ | 67,530,507$ | 14,999,167$ |
Arena | Goal Horn | About us | |
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![]() | Name | T-Mobile Arena | |
City | Vegas | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 203086 | 167905 | 67831 | 135299 | 33607 |
Attendance PCT | 94.02% | 93.28% | 94.21% | 93.96% | 93.35% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 16881 - 93.79% | 1,488,224$ | 53,576,074$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
67,500,833$ | 67,500,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
60,974,368$ | 306,327$ | 59,259,678$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
7,441,121$ | 27 | 359,793$ | 9,714,411$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
10,062,671$ | 67,500,833$ | 50,787,181$ | 48,165,631$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2023 | |||||||
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Adam Engstrom | 2022 | 72 | |||
Alexander Gordin | 2020 | 179 | |||
Alexandr Darin | 2019 | 107 | |||
Alexis Gendron | 2022 | 206 | |||
Andrei Buyalsky | 2021 | 109 | |||
Arvid Costmar | 2019 | 209 | |||
Axel Bergkvist | 2019 | 172 | |||
Ben Strinden | 2022 | 211 | |||
Blake Murray | 2019 | 151 | |||
Braden Hache | 2021 | 223 | |||
Cole Jordan | 2021 | 55 | |||
Cole Mackay | 2019 | 150 | |||
Danny Zhilkin | 2022 | 52 | |||
Daylan Kuefler | 2022 | 164 | |||
Ethan Haider | 2019 | 147 | 4.0 - 5.0 | ||
Filip Sandberg | 4.0 - 2.0 | ||||
Gustav Karlsson | 2022 | 159 | |||
Jack Smith | |||||
Jack Sparkes | 2022 | 209 | |||
Jackson Hallum | 2020 | 117 | |||
Jakub Kos | 2021 | 186 | |||
Jared Davidson | 2022 | 118 | |||
Jerret Tyszka | |||||
Jesper Vikman | 2020 | 177 | |||
Joel Nystrom | 2021 | 191 | |||
Jordan Dumais | 2022 | 60 | |||
Justin Robidas | 2021 | 106 | |||
Kyle Jackson | 2022 | 200 | |||
Kyle Masters | 2021 | 54 | |||
Matthew Maggio | 2022 | 116 | |||
Maximilian Kilpinen | 2022 | 147 | |||
Michael La Starza | 2022 | 55 | |||
Mikael Pyyhtia | |||||
Mikey Milne | 2022 | 63 | |||
Nate Benoit | 2021 | 189 | |||
Nikita Guslistov | 2021 | 216 | |||
Nils Juntorp | 2022 | 197 | |||
Pasquale Zito | 2021 | 129 | |||
Ryan Hofer | 2022 | 204 | |||
Sam Stange | 2020 | 200 | |||
Samuel Johannesson | 2020 | 208 | |||
Simon Kjellberg | 2.0 - 2.0 | ||||
Tomas Mazura | 2019 | 143 | 6.0 - 3.0 | ||
Tyson Hinds | 2021 | 92 | |||
Vadim Zherenko | |||||
Vinzenz Rohrer | 2022 | 83 | |||
Vladimir Grudinin | 2022 | 59 | |||
Vladislav Firstov | 2019 | 70 | 7.5 - 5.0 | ||
Wyatt Kaiser | 2020 | 77 | |||
Yegor Spiridonov | 2019 | 96 | 6.5 - 5.5 |
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