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Full Scoreboard »» |
Vegas Golden Knights 22-32-7, 51pts · 14th 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 | 70 | 36 | 78 | 67 | 74 | 82 | 85 | 67 | 58 | 70 | 69 | 60 | 68 | 75 | 72 | 0 | 28 | 78 | 30 | 7,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 35 | 82 | 66 | 79 | 78 | 88 | 66 | 60 | 66 | 69 | 65 | 67 | 73 | 71 | 0 | 31 | 77 | 28 | 5,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 62 | 33 | 88 | 62 | 79 | 83 | 72 | 64 | 84 | 69 | 64 | 62 | 64 | 87 | 86 | 0 | 32 | 77 | 37 | 9,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 35 | 87 | 62 | 75 | 81 | 84 | 64 | 57 | 68 | 65 | 61 | 65 | 81 | 91 | 0 | 31 | 77 | 33 | 5,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 66 | 34 | 81 | 64 | 87 | 80 | 83 | 65 | 88 | 64 | 69 | 58 | 67 | 79 | 90 | 0 | 21 | 77 | 32 | 8,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 57 | 33 | 95 | 64 | 76 | 83 | 80 | 62 | 86 | 65 | 65 | 79 | 64 | 73 | 73 | 0 | 31 | 76 | 29 | 4,450,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 74 | 36 | 89 | 67 | 85 | 79 | 79 | 65 | 76 | 66 | 65 | 60 | 65 | 64 | 63 | 0 | 31 | 76 | 24 | 850,833$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 33 | 81 | 64 | 80 | 78 | 90 | 64 | 80 | 66 | 67 | 56 | 65 | 65 | 63 | 0 | 31 | 75 | 24 | 2,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 33 | 91 | 66 | 75 | 77 | 77 | 65 | 60 | 64 | 69 | 55 | 67 | 65 | 64 | 0 | 31 | 75 | 24 | 1,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 34 | 88 | 63 | 71 | 79 | 87 | 63 | 77 | 65 | 63 | 66 | 63 | 69 | 68 | 0 | 31 | 74 | 27 | 2,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 32 | 95 | 57 | 75 | 74 | 80 | 59 | 60 | 61 | 61 | 60 | 60 | 66 | 66 | 0 | 31 | 71 | 25 | 1,250,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 32 | 96 | 58 | 66 | 77 | 68 | 55 | 58 | 61 | 50 | 76 | 52 | 62 | 62 | 0 | 21 | 70 | 23 | 897,500$/1yrs | |||
![]() | 0 | D | 99.00 | 71 | 39 | 66 | 59 | 96 | 89 | 89 | 64 | 30 | 66 | 56 | 78 | 60 | 83 | 88 | 0 | 35 | 79 | 35 | 2,850,000$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 33 | 86 | 57 | 75 | 91 | 86 | 64 | 30 | 67 | 54 | 80 | 59 | 83 | 81 | 0 | 29 | 78 | 34 | 4,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 33 | 86 | 57 | 80 | 89 | 90 | 61 | 30 | 65 | 60 | 71 | 60 | 74 | 73 | 0 | 31 | 76 | 30 | 4,250,000$/5yrs | |||
![]() | 0 | D | 100.00 | 62 | 32 | 90 | 65 | 73 | 79 | 69 | 59 | 30 | 68 | 64 | 60 | 62 | 68 | 67 | 0 | 31 | 76 | 26 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 92 | 65 | 67 | 81 | 73 | 61 | 30 | 69 | 50 | 60 | 55 | 68 | 67 | 0 | 31 | 75 | 26 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 71 | 50 | 59 | 95 | 81 | 80 | 54 | 30 | 61 | 60 | 62 | 57 | 64 | 59 | 0 | 28 | 72 | 24 | 1,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 57 | 32 | 93 | 70 | 70 | 78 | 60 | 68 | 55 | 60 | 62 | 66 | 70 | 68 | 67 | 0 | 20 | 74 | 27 | ||||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 90 | 64 | 74 | 77 | 81 | 61 | 58 | 60 | 65 | 61 | 63 | 66 | 65 | 0 | 19 | 73 | 25 | 1,275,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 32 | 85 | 62 | 72 | 78 | 74 | 58 | 60 | 62 | 61 | 59 | 60 | 70 | 69 | 0 | 20 | 72 | 27 | ||||
TEAM AVERAGE | 99.95 | 66 | 35 | 85 | 63 | 77 | 81 | 80 | 62 | 57 | 65 | 62 | 65 | 63 | 72 | 72 | 0 | 28 | 75 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 80 | 94 | 80 | 84 | 79 | 76 | 82 | 88 | 86 | 85 | 82 | 77 | 81 | 0 | 35 | 87 | 31 | 6,400,000$/3yrs |
![]() | 0 | 100.00 | 73 | 79 | 72 | 85 | 69 | 77 | 77 | 73 | 77 | 73 | 76 | 74 | 76 | 0 | 29 | 80 | 30 | 3,800,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 77 | 87 | 76 | 85 | 74 | 77 | 80 | 81 | 82 | 79 | 79 | 76 | 79 | 0 | 32 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andre Tourigny | 89 | 76 | 83 | 78 | 79 | 75 | 64 | CAN | 60 | 5 | 1,000,000$ |
General Manager | Cymon Brass |
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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 | Jonatan Berggren | 0 | LW/RW | 61 | 15 | 20 | 35 | 11 | 8 | 0 | 31 | 131 | 53 | 100 | 11.45% | 9 | 17.74 | 1 | 6 | 7 | 154 | 0 | 0 | 0 | 22 | 1 | 1 | 41.57% | 89 | 0 | 0 | 0 | 0 | 0.65 | 0 | 1 | |
2 | Nicklas Backstrom | 0 | C | 61 | 16 | 16 | 32 | -8 | 27 | 5 | 50 | 173 | 47 | 108 | 9.25% | 16 | 18.22 | 4 | 3 | 7 | 151 | 0 | 0 | 0 | 48 | 2 | 1 | 52.67% | 1384 | 0 | 0 | 0 | 0 | 0.58 | 0 | 2 | |
3 | Tyler Bertuzzi | 0 | LW/RW | 61 | 16 | 15 | 31 | -11 | 34 | 0 | 152 | 148 | 36 | 126 | 10.81% | 15 | 22.04 | 4 | 4 | 8 | 166 | 0 | 0 | 0 | 213 | 5 | 1 | 46.36% | 151 | 0 | 0 | 0 | 0 | 0.46 | 2 | 4 | |
4 | Christian Dvorak | 0 | C/LW | 59 | 15 | 15 | 30 | -10 | 6 | 0 | 19 | 153 | 43 | 91 | 9.80% | 21 | 16.97 | 2 | 1 | 3 | 36 | 0 | 0 | 0 | 253 | 2 | 2 | 54.02% | 1344 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 | |
5 | Matt Roy | 0 | D | 61 | 11 | 19 | 30 | -14 | 74 | 0 | 133 | 105 | 26 | 78 | 10.48% | 111 | 22.19 | 4 | 7 | 11 | 157 | 0 | 0 | 0 | 215 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
6 | Ondrej Palat | 0 | LW/RW | 61 | 11 | 19 | 30 | -16 | 26 | 0 | 80 | 145 | 37 | 134 | 7.59% | 11 | 20.29 | 3 | 6 | 9 | 168 | 0 | 1 | 1 | 103 | 3 | 1 | 43.33% | 120 | 0 | 0 | 0 | 0 | 0.48 | 2 | 4 | |
7 | Tyler Myers | 0 | D | 61 | 6 | 24 | 30 | -6 | 90 | 10 | 191 | 98 | 35 | 67 | 6.12% | 105 | 24.54 | 1 | 6 | 7 | 171 | 0 | 0 | 0 | 180 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
8 | Warren Foegele | 0 | LW/RW | 61 | 14 | 15 | 29 | 6 | 30 | 0 | 86 | 138 | 36 | 111 | 10.14% | 10 | 15.13 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 14 | 2 | 0 | 45.76% | 59 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
9 | Scott Perunovich | 0 | D | 61 | 3 | 25 | 28 | -18 | 14 | 0 | 36 | 54 | 16 | 33 | 5.56% | 72 | 22.17 | 3 | 9 | 12 | 152 | 0 | 1 | 1 | 214 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
10 | TJ Brodie | 0 | D | 62 | 4 | 23 | 27 | -10 | 19 | 5 | 40 | 36 | 16 | 31 | 11.11% | 92 | 19.33 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 88 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
11 | Jesperi Kotkaniemi | 0 | C/LW | 61 | 7 | 16 | 23 | -9 | 10 | 0 | 55 | 85 | 27 | 68 | 8.24% | 5 | 11.22 | 3 | 6 | 9 | 162 | 0 | 0 | 0 | 66 | 0 | 0 | 49.14% | 580 | 0 | 0 | 0 | 0 | 0.67 | 1 | 2 | |
12 | Ryan Johansen | 0 | C | 60 | 7 | 12 | 19 | -1 | 26 | 0 | 60 | 125 | 34 | 93 | 5.60% | 6 | 17.77 | 0 | 2 | 2 | 142 | 0 | 0 | 0 | 25 | 0 | 2 | 53.24% | 1356 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
13 | Sam Malinski | 0 | D | 61 | 1 | 18 | 19 | -1 | 0 | 0 | 0 | 27 | 8 | 20 | 3.70% | 54 | 13.17 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
14 | Arber Xhekaj | 0 | D | 61 | 4 | 14 | 18 | -1 | 131 | 15 | 209 | 57 | 16 | 24 | 7.02% | 71 | 17.65 | 1 | 0 | 1 | 142 | 0 | 0 | 0 | 141 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
15 | Juuso Parssinen | 0 | C/LW | 61 | 7 | 9 | 16 | -12 | 30 | 0 | 71 | 103 | 20 | 77 | 6.80% | 5 | 10.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 40 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
16 | Sam Steel | 0 | C/LW | 61 | 5 | 6 | 11 | -6 | 4 | 0 | 28 | 56 | 17 | 57 | 8.93% | 8 | 8.02 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 112 | 2 | 0 | 49.80% | 251 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
17 | Jesse Ylonen | 0 | LW/RW | 61 | 6 | 5 | 11 | -6 | 20 | 0 | 42 | 55 | 15 | 32 | 10.91% | 3 | 11.14 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 50 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
18 | Mikael Pyyhtia | 0 | LW | 55 | 3 | 2 | 5 | -9 | 0 | 0 | 15 | 24 | 10 | 27 | 12.50% | 6 | 6.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 30.77% | 26 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
19 | Filip Zadina | 0 | LW/RW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 4 | 0 | 6 | 0.00% | 1 | 10.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1093 | 151 | 273 | 424 | -122 | 549 | 35 | 1299 | 1717 | 492 | 1283 | 8.79% | 621 | 16.40 | 26 | 50 | 76 | 1631 | 1 | 2 | 3 | 1705 | 21 | 8 | 51.81% | 5453 | 0 | 0 | 0 | 0 | 0.47 | 5 | 14 |
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 | John Gibson | 40 | 14 | 21 | 5 | 0.912 | 2.91 | 2411 | 17 | 2 | 117 | 1327 | 0 | 0 | 0 | 0.333 | 6 | 40 | 18 | 4 | 2 | 1 | |
2 | Chris Driedger | 13 | 5 | 6 | 1 | 0.913 | 3.15 | 742 | 2 | 0 | 39 | 447 | 0 | 0 | 1 | 1.000 | 2 | 12 | 12 | 1 | 0 | 0 | |
Team Total or Average | 53 | 19 | 27 | 6 | 0.912 | 2.97 | 3153 | 19 | 2 | 156 | 1774 | 0 | 0 | 1 | 0.500 | 8 | 52 | 30 | 5 | 2 | 1 |
Projected Total Cap Hit | 73,833,143$ |
Projected Cap Space | 14,166,857$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 57,719,213$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Golden Knights Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Arber Xhekaj ![]() | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Chris Driedger | G | 30 | 3,800,000$ | 3,800,000$ | UFA | ||||||
Christian Dvorak ![]() | C/LW | 29 | 4,450,000$ | 4,450,000$ | UFA | ||||||
Filip Zadina ![]() | LW/RW | 25 | 1,275,000$ | 1,275,000$ | 1,275,000$ | ||||||
Jesperi Kotkaniemi ![]() | C/LW | 24 | 2,500,000$ | 2,500,000$ | RFA | ||||||
Jesse Ylonen ![]() | LW/RW | 25 | 1,250,000$ | 1,250,000$ | |||||||
John Gibson | G | 31 | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | UFA | ||||
Jonatan Berggren ![]() | LW/RW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Jonathan Dahlen ![]() | LW | 27 | 0$ | ||||||||
Juuso Parssinen ![]() | C/LW | 24 | 850,833$ | 850,833$ | RFA | ||||||
Matt Roy ![]() | D | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | ||
Mikael Pyyhtia ![]() | LW | 23 | 897,500$ | 897,500$ | RFA | ||||||
Nicklas Backstrom ![]() | C | 37 | 9,000,000$ | 9,000,000$ | UFA | ||||||
Ondrej Palat ![]() | LW/RW | 33 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Rem Pitlick ![]() | C/LW/RW | 27 | 0$ | UFA | |||||||
Ryan Johansen ![]() | C | 32 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Sam Malinski ![]() | D | 26 | 850,000$ | 850,000$ | |||||||
Sam Steel ![]() | C/LW | 27 | 2,000,000$ | 2,000,000$ | |||||||
Scott Perunovich ![]() | D | 26 | 2,500,000$ | 2,500,000$ | |||||||
TJ Brodie ![]() | D | 34 | 4,600,000$ | 4,600,000$ | UFA | ||||||
Tyler Bertuzzi ![]() | LW/RW | 30 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Tyler Myers ![]() | D | 35 | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | UFA | ||||
Warren Foegele ![]() | LW/RW | 28 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexis Gendron ![]() | C | 21 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Antti Tuomisto ![]() | D | 24 | 867,500$ | 867,500$ | RFA | ||||||
Beau Akey ![]() | D | 20 | 895,000$ | 895,000$ | 895,000$ | RFA | |||||
Blake Murray ![]() | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Cross Hanas ![]() | LW/RW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Danny Zhilkin ![]() | C | 21 | 831,667$ | 831,667$ | 831,667$ | RFA | |||||
Daylan Kuefler ![]() | LW | 23 | 840,000$ | 840,000$ | 840,000$ | RFA | |||||
Ethan Cardwell ![]() | RW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Gannon Laroque ![]() | D | 21 | 867,500$ | 867,500$ | RFA | ||||||
Isaiah Saville ![]() | G | 24 | 850,000$ | 850,000$ | RFA | ||||||
Jachym Kondelik ![]() | C | 25 | 860,000$ | 860,000$ | ![]() | ||||||
Jakub Demek ![]() | C/RW | 21 | 851,683$ | 851,683$ | 851,683$ | RFA | |||||
Jared Davidson ![]() | C | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
John Farinacci ![]() | C | 24 | 910,000$ | 910,000$ | RFA | ||||||
Justus Annunen ![]() | G | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Kyle Masters ![]() | D | 21 | 865,000$ | 865,000$ | 865,000$ | RFA | |||||
Layton Ahac ![]() | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Liam Kirk ![]() | C | 25 | 0$ | ![]() | |||||||
Matthew Robertson ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Maximus Wanner ![]() | D | 22 | 846,667$ | 846,667$ | RFA | ||||||
Michael Buchinger ![]() | D | 20 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Michael Milne ![]() | LW | 22 | 861,667$ | 861,667$ | RFA | ||||||
Mikhail Berdin ![]() | G | 27 | 0$ | ![]() | |||||||
Ryan Hofer ![]() | C | 22 | 851,667$ | 851,667$ | 851,667$ | RFA | |||||
Ryan Suzuki ![]() | C | 23 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Ryan Winterton ![]() | C | 21 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Ryder Korczak ![]() | C | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Samuel Bolduc ![]() ![]() | D | 24 | 900,000$ | 900,000$ | RFA | ||||||
Santeri Hatakka ![]() | D | 24 | 825,000$ | 825,000$ | 825,000$ | ![]() | |||||
Stanislav Svozil ![]() | D | 22 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Vadim Zherenko ![]() | G | 23 | 846,667$ | 846,667$ | 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 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 3 | 0 | 0 | 53 | 19 | 17 | 17 | 0 | 93 | 23 | 31 | 46 | 7 | 3 | 42.86% | 12 | 4 | 66.67% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 43 | 29 | 51 | 15 | 25 | 12 | 25.0% | 7.5% | 92.5% | 100.0 | DULL | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 45 | 16 | 12 | 17 | 0 | 68 | 20 | 14 | 50 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 41 | 26 | 52 | 15 | 26 | 11 | 50.0% | 11.1% | 91.2% | 102.3 | LUCKY | |
3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 5 | 3 | 3 | 0.750 | 8 | 16 | 24 | 0 | 0 | 2 | 3 | 3 | 0 | 56 | 19 | 21 | 16 | 0 | 70 | 27 | 34 | 38 | 6 | 3 | 50.00% | 11 | 1 | 90.91% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 42 | 27 | 52 | 14 | 25 | 12 | 55.6% | 14.3% | 92.9% | 107.1 | LUCKY | |
4 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 1 | 2 | 74 | 32 | 15 | 22 | 7 | 65 | 23 | 16 | 41 | 7 | 1 | 14.29% | 8 | 4 | 50.00% | 1 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 48 | 34 | 52 | 15 | 24 | 12 | 57.1% | 6.8% | 89.2% | 96.0 | Unlucky | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 1 | 2 | 0 | 2 | 0 | 64 | 22 | 20 | 22 | 0 | 49 | 18 | 16 | 47 | 6 | 1 | 16.67% | 6 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 50 | 36 | 45 | 13 | 24 | 12 | 42.9% | 6.3% | 91.8% | 98.1 | DULL | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 3 | 0 | 0 | 44 | 19 | 12 | 13 | 0 | 70 | 21 | 14 | 41 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 48 | 34 | 47 | 14 | 24 | 11 | 40.0% | 11.4% | 88.6% | 99.9 | FUN | |
7 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 2 | 1 | 3 | 1 | 63 | 21 | 27 | 12 | 3 | 72 | 23 | 12 | 44 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 51 | 36 | 47 | 15 | 25 | 12 | 50.0% | 11.1% | 90.3% | 101.4 | FUN | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 61 | 29 | 11 | 21 | 0 | 50 | 9 | 12 | 33 | 9 | 1 | 11.11% | 5 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 50 | 32 | 43 | 14 | 25 | 14 | 42.9% | 6.6% | 92.0% | 98.6 | DULL | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 47 | 22 | 15 | 10 | 0 | 42 | 14 | 24 | 31 | 5 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 42 | 27 | 51 | 15 | 26 | 11 | 42.9% | 6.4% | 83.3% | 89.7 | Unlucky | |
10 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 2 | 1 | 72 | 14 | 21 | 33 | 4 | 71 | 24 | 12 | 49 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 46 | 31 | 48 | 16 | 26 | 12 | 44.4% | 6.9% | 91.5% | 98.5 | DULL | |
11 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 0 | 4 | 0 | 2 | 62 | 27 | 17 | 14 | 8 | 79 | 21 | 10 | 42 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 46 | 33 | 52 | 14 | 25 | 12 | 40.0% | 6.5% | 92.4% | 98.9 | DULL | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 1 | 1 | 0 | 2 | 3 | 0 | 52 | 13 | 23 | 16 | 0 | 52 | 21 | 29 | 49 | 10 | 1 | 10.00% | 12 | 1 | 91.67% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 46 | 31 | 47 | 14 | 25 | 13 | 57.1% | 9.6% | 92.3% | 101.9 | LUCKY | |
13 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 1 | 0.167 | 7 | 13 | 20 | 0 | 0 | 1 | 2 | 4 | 0 | 92 | 32 | 28 | 31 | 1 | 113 | 28 | 24 | 64 | 13 | 4 | 30.77% | 10 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 71 | 48 | 75 | 22 | 37 | 18 | 23.1% | 7.6% | 91.2% | 98.8 | DULL | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 43 | 11 | 22 | 10 | 0 | 26 | 5 | 10 | 31 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 27 | 18 | 20 | 8 | 12 | 5 | 33.3% | 4.7% | 88.5% | 93.1 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 17 | 4 | 4 | 9 | 0 | 32 | 8 | 12 | 20 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 19 | 13 | 28 | 7 | 12 | 5 | 66.7% | 11.8% | 96.9% | 108.6 | LUCKY | |
16 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 5 | 9 | -4 | 2 | 0.333 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 1 | 71 | 32 | 23 | 15 | 6 | 100 | 38 | 21 | 58 | 9 | 1 | 11.11% | 8 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 63 | 41 | 83 | 22 | 40 | 19 | 30.8% | 7.0% | 91.0% | 98.0 | Unlucky | |
17 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 4 | 4 | 2 | 1 | 89 | 31 | 32 | 22 | 4 | 128 | 21 | 36 | 63 | 5 | 2 | 40.00% | 17 | 4 | 76.47% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 65 | 43 | 82 | 21 | 36 | 17 | 60.0% | 12.4% | 92.2% | 104.5 | LUCKY | |
18 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 0 | 0.000 | 8 | 14 | 22 | 0 | 0 | 3 | 1 | 4 | 0 | 70 | 28 | 22 | 20 | 0 | 119 | 44 | 40 | 73 | 7 | 1 | 14.29% | 17 | 6 | 64.71% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 62 | 41 | 78 | 22 | 38 | 18 | 46.7% | 11.4% | 88.2% | 99.7 | FUN | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 4 | 0 | 0 | 33 | 14 | 13 | 6 | 0 | 46 | 11 | 14 | 28 | 1 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 17 | 12 | 30 | 6 | 11 | 5 | 71.4% | 15.2% | 93.5% | 108.6 | LUCKY | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 3 | 8 | 4 | 0 | 42 | 9 | 12 | 21 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 19 | 12 | 27 | 7 | 12 | 5 | 20.0% | 6.7% | 88.1% | 94.8 | Unlucky | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 56 | 14 | 22 | 20 | 0 | 77 | 21 | 19 | 52 | 5 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 45 | 29 | 48 | 16 | 26 | 14 | 46.2% | 10.7% | 90.9% | 101.6 | FUN | |
22 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 4 | 2 | 1 | 0 | 73 | 27 | 28 | 17 | 4 | 66 | 21 | 8 | 50 | 11 | 2 | 18.18% | 4 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 57 | 41 | 41 | 13 | 25 | 13 | 41.7% | 9.6% | 89.4% | 99.0 | FUN | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 20 | 8 | 7 | 5 | 0 | 48 | 10 | 4 | 25 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 20 | 13 | 25 | 8 | 13 | 6 | 44.4% | 20.0% | 89.6% | 109.6 | FUN | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 0 | 2 | 0 | 57 | 20 | 15 | 22 | 0 | 38 | 13 | 8 | 38 | 10 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 48 | 33 | 45 | 14 | 26 | 13 | 55.6% | 8.8% | 89.5% | 98.2 | Unlucky | |
25 | 4 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 7 | 12 | -5 | 4 | 0.500 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 1 | 2 | 91 | 34 | 30 | 24 | 3 | 138 | 41 | 32 | 66 | 11 | 1 | 9.09% | 14 | 3 | 78.57% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 89 | 59 | 100 | 30 | 51 | 24 | 40.0% | 7.7% | 91.3% | 99.0 | DULL | |
26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.333 | 9 | 17 | 26 | 1 | 0 | 3 | 2 | 4 | 0 | 85 | 31 | 24 | 30 | 0 | 93 | 36 | 40 | 51 | 9 | 2 | 22.22% | 9 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 67 | 47 | 77 | 21 | 35 | 16 | 41.2% | 10.6% | 89.2% | 99.8 | FUN | |
27 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 1 | 1 | 69 | 14 | 25 | 26 | 4 | 72 | 18 | 12 | 53 | 8 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 47 | 32 | 53 | 16 | 26 | 13 | 55.6% | 7.2% | 93.1% | 100.3 | DULL | |
28 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 4 | 0.667 | 5 | 10 | 15 | 0 | 0 | 3 | 0 | 2 | 0 | 67 | 31 | 19 | 17 | 0 | 82 | 26 | 28 | 47 | 8 | 1 | 12.50% | 14 | 3 | 78.57% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 62 | 40 | 78 | 23 | 38 | 17 | 57.1% | 7.5% | 92.7% | 100.1 | DULL | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 3 | 0 | 1 | 0 | 70 | 21 | 23 | 26 | 0 | 54 | 10 | 22 | 47 | 9 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 50 | 34 | 44 | 15 | 25 | 12 | 50.0% | 5.7% | 92.6% | 98.3 | DULL | |
_Vs Division | 19 | 4 | 10 | 0 | 2 | 2 | 0 | 1 | 37 | 52 | -15 | 15 | 0.395 | 37 | 66 | 103 | 1 | 1 | 12 | 11 | 12 | 3 | 496 | 182 | 163 | 146 | 10 | 632 | 187 | 187 | 377 | 67 | 11 | 16.42% | 80 | 11 | 86.25% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 426 | 285 | 481 | 144 | 243 | 117 | 38.8% | 7.5% | 91.8% | 99.2 | DULL | |
_Vs Conference | 37 | 8 | 21 | 0 | 4 | 2 | 0 | 2 | 89 | 113 | -24 | 28 | 0.378 | 89 | 159 | 248 | 2 | 1 | 29 | 28 | 28 | 7 | 1021 | 365 | 344 | 296 | 25 | 1264 | 371 | 362 | 771 | 117 | 17 | 14.53% | 148 | 22 | 85.14% | 0 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 842 | 569 | 934 | 278 | 470 | 227 | 44.2% | 8.7% | 91.1% | 99.8 | Unlucky | |
_Since Last GM Reset | 61 | 15 | 32 | 0 | 6 | 4 | 1 | 3 | 152 | 186 | -34 | 51 | 0.418 | 152 | 274 | 426 | 2 | 2 | 49 | 50 | 46 | 11 | 1711 | 608 | 556 | 517 | 44 | 2055 | 604 | 566 | 1298 | 192 | 27 | 14.06% | 238 | 37 | 84.45% | 1 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 1395 | 946 | 1534 | 459 | 776 | 375 | 45.6% | 8.9% | 90.9% | 99.8 | Unlucky | |
Total | 61 | 15 | 32 | 0 | 6 | 4 | 1 | 3 | 152 | 186 | -34 | 51 | 0.418 | 152 | 274 | 426 | 2 | 2 | 49 | 50 | 46 | 11 | 1711 | 608 | 556 | 517 | 44 | 2055 | 604 | 566 | 1298 | 192 | 27 | 14.06% | 238 | 37 | 84.45% | 1 | 1075 | 1995 | 53.88% | 1168 | 2261 | 51.66% | 510 | 956 | 53.35% | 1395 | 946 | 1534 | 459 | 776 | 375 | 45.6% | 8.9% | 90.9% | 99.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 1995 |
Neutral Zone Start | 956 |
Defensive Zone Start | 2261 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2753 |
Faceoffs Lost | 2459 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 19.1 | 20.31 |
3rd Period | 27.6 | 30.68 |
Overtime | 28.3 | 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 | 2.4 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 122 |
---|---|
PP Goal | 27 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 12 | 10 |
Lost | 15 | 17 |
Overtime Lost | 5 | 2 |
PP Attempt | 192 |
---|---|
PP Goal | 27 |
PK Attempt | 238 |
PK Goal Against | 37 |
Home | |
---|---|
Shots For | 28.0 |
Shots Against | 33.7 |
Goals For | 2.5 |
Goals Against | 3.0 |
Hits | 21.3 |
Shots Blocked | 9.9 |
Pim | 9.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-11 | @ | Avalanche2,Golden Knights3 (OT) | RECAP | |||||||||||
2024-10-13 | @ | Blues3,Golden Knights4 (OT) | RECAP | |||||||||||
2024-10-15 | @ | Ducks1,Golden Knights2 (OT) | RECAP | |||||||||||
2024-10-17 | @ | Golden Knights1,Capitals3 | RECAP | |||||||||||
2024-10-19 | @ | Golden Knights2,Lightning1 | RECAP | |||||||||||
2024-10-21 | @ | Golden Knights4,Panthers5 (SO) | RECAP | |||||||||||
2024-10-24 | @ | Kings5,Golden Knights4 (OT) | RECAP | |||||||||||
2024-10-27 | @ | Senators3,Golden Knights4 (SO) | RECAP | |||||||||||
2024-10-28 | @ | Sharks3,Golden Knights0 | RECAP | |||||||||||
2024-10-30 | @ | Flames3,Golden Knights2 | RECAP | |||||||||||
2024-11-01 | @ | Golden Knights2,Kings3 | RECAP | |||||||||||
2024-11-04 | @ | Hockey Club5,Golden Knights3 | RECAP | |||||||||||
2024-11-08 | @ | Golden Knights3,Oilers5 | RECAP | |||||||||||
2024-11-10 | @ | Golden Knights4,Kraken2 | RECAP | |||||||||||
2024-11-13 | @ | Hurricanes4,Golden Knights2 | RECAP | |||||||||||
2024-11-15 | @ | Golden Knights3,Ducks2 (OT) | RECAP | |||||||||||
2024-11-17 | @ | Golden Knights2,Hockey Club3 | RECAP | |||||||||||
2024-11-19 | @ | Capitals3,Golden Knights4 (OT) | RECAP | |||||||||||
2024-11-22 | @ | Golden Knights3,Maple Leafs2 (OT) | RECAP | |||||||||||
2024-11-23 | @ | Golden Knights1,Senators4 | RECAP | |||||||||||
2024-11-25 | @ | Golden Knights1,Canadiens3 | RECAP | |||||||||||
2024-11-27 | @ | Golden Knights2,Flyers4 | RECAP | |||||||||||
2024-11-29 | @ | Golden Knights4,Avalanche5 | RECAP | |||||||||||
2024-12-01 | @ | Jets3,Golden Knights2 | RECAP | |||||||||||
2024-12-02 | @ | Hockey Club6,Golden Knights3 | RECAP | |||||||||||
2024-12-05 | @ | Oilers2,Golden Knights1 (OT) | RECAP | |||||||||||
2024-12-06 | @ | Golden Knights1,Ducks3 | RECAP | |||||||||||
2024-12-08 | @ | Stars3,Golden Knights1 | RECAP | |||||||||||
2024-12-14 | @ | Golden Knights3,Jets1 | RECAP | |||||||||||
2024-12-16 | @ | Golden Knights1,Oilers2 (SO) | RECAP | |||||||||||
2024-12-17 | @ | Golden Knights1,Wild2 | RECAP | |||||||||||
2024-12-21 | @ | Canucks4,Golden Knights2 | RECAP | |||||||||||
2024-12-23 | @ | Kraken2,Golden Knights0 | RECAP | |||||||||||
2024-12-25 | @ | Ducks6,Golden Knights1 | RECAP | |||||||||||
2024-12-29 | @ | Golden Knights2,Sharks1 | RECAP | |||||||||||
2024-12-31 | @ | Flames4,Golden Knights2 | RECAP | |||||||||||
2025-01-02 | @ | Canadiens4,Golden Knights2 | RECAP | |||||||||||
2025-01-04 | @ | Flyers2,Golden Knights3 | RECAP | |||||||||||
2025-01-06 | @ | Sabres5,Golden Knights1 | RECAP | |||||||||||
2025-01-09 | @ | Golden Knights3,Sharks2 | RECAP | |||||||||||
2025-01-11 | @ | Islanders0,Golden Knights3 | RECAP | |||||||||||
2025-01-13 | @ | Rangers1,Golden Knights3 | RECAP | |||||||||||
2025-01-14 | @ | Wild4,Golden Knights3 (SO) | RECAP | |||||||||||
2025-01-16 | @ | Golden Knights2,Predators3 | RECAP | |||||||||||
2025-01-19 | @ | Golden Knights3,Hurricanes4 | RECAP | |||||||||||
2025-01-20 | @ | Golden Knights2,Blackhawks5 | RECAP | |||||||||||
2025-01-22 | @ | Blues3,Golden Knights6 | RECAP | |||||||||||
2025-01-25 | @ | Golden Knights1,Blues4 | RECAP | |||||||||||
2025-01-26 | @ | Golden Knights5,Stars2 | RECAP | |||||||||||
2025-01-28 | @ | Panthers2,Golden Knights3 | RECAP | |||||||||||
2025-01-30 | @ | Stars5,Golden Knights3 | RECAP | |||||||||||
2025-02-01 | @ | Blue Jackets5,Golden Knights4 | RECAP | |||||||||||
2025-02-04 | @ | Golden Knights1,Rangers3 | RECAP | |||||||||||
2025-02-06 | @ | Golden Knights1,Islanders4 | RECAP | |||||||||||
2025-02-08 | @ | Golden Knights5,Devils1 | RECAP | |||||||||||
2025-02-10 | @ | Golden Knights5,Bruins3 | RECAP | |||||||||||
2025-02-24 | @ | Canucks0,Golden Knights3 | RECAP | |||||||||||
2025-02-26 | @ | Golden Knights1,Kings2 | RECAP | |||||||||||
2025-03-01 | @ | Blackhawks2,Golden Knights4 | RECAP | |||||||||||
2025-03-04 | @ | Devils4,Golden Knights3 (OT) | RECAP | |||||||||||
2025-03-07 | @ | Maple Leafs3,Golden Knights2 (OT) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | |||||||||||||
2025-03-11 | @ | |||||||||||||
2025-03-13 | @ | |||||||||||||
2025-03-15 | @ | |||||||||||||
2025-03-17 | @ | |||||||||||||
2025-03-18 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
2025-03-31 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-10 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-14 | @ | |||||||||||||
2025-04-17 | @ | |||||||||||||
2025-04-18 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,198,333$ | 0$ | 73,833,143$ | 12,801,667$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | 178262 | 147260 | 59678 | 121619 | 29294 |
Attendance PCT | 92.84% | 92.04% | 93.25% | 95.01% | 91.54% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
9 | 16754 - 93.08% | 1,529,523$ | 48,944,747$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,198,333$ | 75,198,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
58,951,381$ | 383,665$ | 57,719,213$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
13,765,710$ | 42 | 388,767$ | 16,328,214$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
16,846,522$ | 75,198,333$ | 77,535,909$ | 74,455,097$ |
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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 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
Priority | Type | Description |
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Adam Engstrom | 2022 | 72 | |||
Alexandr Darin | 2019 | 107 | |||
Andrew Gibson | 2023 | 69 | |||
Artyom Duda | 2022 | 69 | |||
Bogdan Konyushkov | 2023 | 107 | |||
Christian Kirsch | 2024 | 126 | |||
Danny Nelson | 2023 | 72 | |||
Dominic James | 2022 | 198 | |||
Ethan Haider | 2019 | 147 | 4.0 - 5.0 | ||
Felix Nilsson | 2023 | 50 | |||
Florian Xhekaj | 2023 | 97 | |||
Joaquim Lemay | 2021 | 140 | |||
Luke Misa | 2024 | 54 | |||
Matthew Andonovski | 2023 | 158 | |||
Maxim Strbak | 2023 | 59 | |||
Maximilian Kilpinen | 2022 | 147 | |||
Miguel Marques | 2024 | 42 | |||
Quentin Musty | 2023 | 16 | |||
Ryan Greene | 2022 | 91 | |||
Sean Behrens | 2021 | 26 | |||
Simon-Pier Brunet | 2024 | 121 | |||
Tarin Smith | 2024 | 56 | |||
Tomas Mrsic | 2024 | 50 | |||
Tristan Bertucci | 2023 | 75 | |||
Vinzenz Rohrer | 2022 | 83 | |||
William Whitelaw | 2023 | 39 | |||
Yegor Sidorov | 2023 | 87 | |||
Zeev Buium | 2024 | 4 |
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