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Las Vegas Golden Knights Team Overall:70 0-0-0, 0pts |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | C | 6' 2" | 208 | 27 | 68 | 40 | 85 | 95 | 82 | 88 | 92 | 93 | 85 | 98 | 85 | 68 | 58 | 75 | 68 | 0 | 40 | 88 | 100.00 | 8,500,000$/1yrs | |
0 | ![]() | C | 6' 0" | 195 | 30 | 71 | 64 | 84 | 72 | 78 | 83 | 89 | 85 | 70 | 87 | 80 | 76 | 74 | 80 | 73 | 0 | 40 | 82 | 100.00 | 6,000,000$/1yrs | |
0 | ![]() | RW | 5' 11" | 190 | 35 | 72 | 40 | 82 | 75 | 77 | 80 | 91 | 77 | 90 | 83 | 80 | 72 | 58 | 90 | 95 | 0 | 40 | 81 | 100.00 | 8,275,000$/1yrs | |
0 | ![]() | RW | 6' 0" | 204 | 27 | 68 | 40 | 84 | 84 | 83 | 80 | 92 | 80 | 63 | 85 | 84 | 64 | 68 | 71 | 59 | 0 | 40 | 81 | 100.00 | 6,962,366$/1yrs | |
0 | ![]() | C/RW | 5' 9" | 183 | 32 | 72 | 64 | 87 | 78 | 76 | 76 | 90 | 72 | 60 | 78 | 76 | 70 | 62 | 72 | 59 | 0 | 40 | 77 | 100.00 | 5,000,000$/1yrs | |
0 | ![]() | C | 6' 1" | 200 | 30 | 71 | 64 | 77 | 77 | 79 | 79 | 92 | 70 | 84 | 79 | 69 | 75 | 54 | 72 | 66 | 0 | 40 | 76 | 100.00 | 3,083,333$/2yrs | |
0 | ![]() | C | 6' 0" | 190 | 30 | 68 | 40 | 90 | 78 | 75 | 77 | 91 | 70 | 86 | 82 | 66 | 74 | 58 | 74 | 60 | 0 | 40 | 76 | 100.00 | 5,900,000$/1yrs | |
0 | ![]() | C | 6' 1" | 199 | 28 | 69 | 64 | 86 | 76 | 79 | 79 | 90 | 66 | 78 | 81 | 63 | 74 | 54 | 73 | 65 | 0 | 40 | 75 | 100.00 | 3,300,000$/3yrs | |
0 | ![]() | C/LW | 5' 11" | 180 | 33 | 71 | 40 | 84 | 76 | 71 | 78 | 78 | 67 | 58 | 78 | 71 | 73 | 74 | 77 | 65 | 0 | 40 | 75 | 100.00 | 5,500,000$/2yrs | |
0 | ![]() | C | 5' 9" | 174 | 31 | 77 | 69 | 78 | 72 | 71 | 76 | 92 | 68 | 77 | 81 | 66 | 75 | 54 | 69 | 65 | 0 | 40 | 75 | 100.00 | 5,166,666$/1yrs | |
0 | ![]() | RW | 5' 11" | 192 | 31 | 75 | 64 | 84 | 69 | 78 | 78 | 90 | 68 | 55 | 77 | 71 | 69 | 65 | 71 | 59 | 0 | 40 | 74 | 100.00 | 3,500,000$/3yrs | |
0 | ![]() | C | 6' 4" | 202 | 26 | 73 | 40 | 83 | 73 | 76 | 74 | 86 | 65 | 75 | 75 | 68 | 76 | 58 | 61 | 58 | 0 | 40 | 74 | 100.00 | 815,000$/1yrs | |
0 | ![]() | C | 6' 2" | 190 | 28 | 69 | 40 | 86 | 75 | 72 | 74 | 83 | 66 | 69 | 74 | 71 | 67 | 76 | 69 | 59 | 0 | 40 | 73 | 100.00 | 2,775,000$/3yrs | |
0 | ![]() | C | 6' 0" | 185 | 28 | 75 | 40 | 89 | 66 | 73 | 66 | 82 | 60 | 79 | 74 | 61 | 79 | 68 | 63 | 58 | 0 | 40 | 71 | 100.00 | 1,837,500$/3yrs | |
0 | ![]() | LW | 6' 6" | 231 | 26 | 80 | 40 | 81 | 70 | 88 | 67 | 83 | 58 | 52 | 70 | 63 | 73 | 54 | 65 | 59 | 0 | 40 | 70 | 100.00 | 1,225,000$/1yrs | |
0 | ![]() | LW | 6' 3" | 208 | 26 | 76 | 79 | 82 | 68 | 80 | 57 | 72 | 59 | 53 | 71 | 62 | 77 | 54 | 58 | 58 | 0 | 40 | 69 | 100.00 | 735,000$/1yrs | |
0 | ![]() | LW | 6' 1" | 212 | 28 | 75 | 63 | 84 | 62 | 83 | 66 | 82 | 60 | 57 | 70 | 63 | 73 | 57 | 66 | 59 | 0 | 40 | 69 | 100.00 | 1,050,000$/1yrs | |
0 | ![]() | C | 6' 3" | 233 | 24 | 80 | 77 | 82 | 64 | 91 | 56 | 72 | 58 | 83 | 68 | 62 | 76 | 54 | 57 | 58 | 0 | 40 | 69 | 100.00 | 821,667$/1yrs | |
0 | ![]() | RW | 6' 1" | 209 | 29 | 56 | 68 | 63 | 63 | 67 | 67 | 65 | 65 | 55 | 61 | 65 | 60 | 54 | 69 | 61 | 0 | 40 | 65 | 100.00 | 700,000$/1yrs | |
0 | ![]() | C/LW | 5' 11" | 185 | 27 | 55 | 61 | 66 | 63 | 60 | 67 | 65 | 65 | 55 | 61 | 63 | 60 | 57 | 66 | 59 | 0 | 40 | 64 | 100.00 | 715,000$/1yrs | |
0 | ![]() | C | 5' 11" | 194 | 29 | 58 | 58 | 58 | 61 | 62 | 64 | 64 | 63 | 70 | 61 | 61 | 62 | 62 | 68 | 60 | 0 | 40 | 64 | 100.00 | 700,000$/1yrs | |
0 | ![]() | C | 6' 2" | 209 | 27 | 55 | 60 | 65 | 67 | 68 | 68 | 66 | 62 | 70 | 59 | 63 | 57 | 60 | 66 | 59 | 0 | 40 | 64 | 100.00 | 722,500$/1yrs | |
0 | ![]() | C | 6' 0" | 192 | 25 | 64 | 68 | 72 | 57 | 70 | 61 | 61 | 58 | 73 | 64 | 61 | 64 | 54 | 59 | 57 | 0 | 40 | 64 | 100.00 | 690,000$/1yrs | |
0 | ![]() | C | 6' 1" | 194 | 29 | 57 | 54 | 70 | 58 | 66 | 63 | 62 | 59 | 67 | 61 | 59 | 62 | 57 | 69 | 60 | 0 | 40 | 63 | 100.00 | 1,050,000$/2yrs | |
0 | ![]() | C | 5' 9" | 170 | 30 | 61 | 50 | 75 | 60 | 61 | 62 | 60 | 59 | 68 | 63 | 60 | 63 | 57 | 66 | 60 | 0 | 40 | 63 | 100.00 | 1,250,000$/1yrs | |
0 | ![]() | C | 5' 11" | 174 | 29 | 56 | 57 | 66 | 60 | 59 | 67 | 65 | 62 | 69 | 59 | 62 | 56 | 54 | 67 | 60 | 0 | 40 | 63 | 100.00 | 700,000$/2yrs | |
0 | ![]() | RW | 6' 0" | 183 | 26 | 55 | 57 | 66 | 58 | 61 | 63 | 62 | 61 | 55 | 59 | 60 | 63 | 54 | 64 | 58 | 0 | 40 | 62 | 100.00 | 812,500$/3yrs | |
0 | ![]() | RW | 6' 2" | 196 | 26 | 58 | 51 | 78 | 57 | 69 | 59 | 58 | 57 | 54 | 63 | 59 | 63 | 54 | 60 | 57 | 0 | 40 | 62 | 100.00 | 677,777$/1yrs | |
0 | ![]() | C | 6' 1" | 205 | 30 | 55 | 55 | 66 | 59 | 66 | 66 | 64 | 58 | 70 | 58 | 57 | 57 | 57 | 69 | 61 | 0 | 40 | 61 | 100.00 | 735,000$/1yrs | |
0 | ![]() | LW | 6' 1" | 195 | 25 | 56 | 53 | 71 | 56 | 67 | 61 | 59 | 56 | 54 | 59 | 58 | 62 | 54 | 62 | 57 | 0 | 40 | 61 | 100.00 | 925,000$/1yrs | |
0 | ![]() | RW | 6' 1" | 185 | 22 | 57 | 54 | 63 | 58 | 64 | 60 | 59 | 57 | 55 | 57 | 56 | 61 | 54 | 57 | 54 | 0 | 40 | 60 | 100.00 | 902,500$/1yrs | |
0 | ![]() | D | 6' 1" | 201 | 32 | 67 | 40 | 78 | 89 | 80 | 96 | 87 | 75 | 40 | 84 | 70 | 80 | 58 | 81 | 83 | 0 | 40 | 82 | 100.00 | 4,000,000$/1yrs | |
0 | ![]() | D | 6' 4" | 221 | 28 | 71 | 66 | 75 | 74 | 86 | 92 | 92 | 67 | 40 | 80 | 66 | 89 | 54 | 72 | 68 | 0 | 40 | 79 | 100.00 | 3,200,000$/1yrs | |
0 | ![]() | D | 6' 0" | 186 | 26 | 70 | 40 | 79 | 74 | 73 | 92 | 90 | 66 | 40 | 78 | 66 | 84 | 54 | 64 | 59 | 0 | 40 | 77 | 100.00 | 2,218,532$/3yrs | |
0 | ![]() | D | 5' 10" | 170 | 25 | 69 | 40 | 87 | 82 | 67 | 87 | 88 | 66 | 40 | 80 | 61 | 83 | 54 | 68 | 59 | 0 | 40 | 76 | 100.00 | 935,833$/1yrs | |
0 | ![]() | D | 6' 0" | 209 | 24 | 72 | 40 | 84 | 74 | 85 | 87 | 89 | 58 | 40 | 70 | 60 | 86 | 54 | 62 | 64 | 0 | 40 | 74 | 100.00 | 1,137,500$/1yrs | |
0 | ![]() | D | 6' 1" | 179 | 31 | 59 | 35 | 87 | 67 | 73 | 92 | 89 | 66 | 30 | 74 | 56 | 83 | 53 | 81 | 72 | 0 | 40 | 74 | 100.00 | 4,650,400$/1yrs | |
0 | ![]() | D | 6' 5" | 208 | 28 | 82 | 66 | 76 | 71 | 78 | 74 | 90 | 59 | 40 | 72 | 59 | 84 | 54 | 62 | 58 | 0 | 40 | 73 | 100.00 | 750,000$/1yrs | |
0 | ![]() | D | 6' 1" | 204 | 26 | 85 | 71 | 74 | 66 | 81 | 76 | 88 | 58 | 40 | 71 | 60 | 87 | 54 | 61 | 58 | 0 | 40 | 73 | 100.00 | 871,666$/1yrs | |
0 | ![]() | D | 6' 0" | 204 | 30 | 69 | 65 | 84 | 72 | 83 | 64 | 72 | 57 | 40 | 71 | 58 | 84 | 54 | 57 | 58 | 0 | 40 | 70 | 100.00 | 725,000$/2yrs | |
0 | ![]() | D | 6' 3" | 219 | 27 | 70 | 80 | 77 | 62 | 81 | 76 | 70 | 57 | 38 | 65 | 57 | 83 | 51 | 54 | 55 | 0 | 40 | 69 | 100.00 | 735,000$/1yrs | |
0 | ![]() | D | 6' 6" | 231 | 28 | 66 | 65 | 81 | 58 | 84 | 65 | 65 | 56 | 40 | 66 | 57 | 72 | 54 | 62 | 58 | 0 | 40 | 66 | 100.00 | 700,000$/2yrs | |
0 | ![]() | D | 5' 9" | 187 | 24 | 59 | 45 | 77 | 71 | 71 | 62 | 60 | 54 | 40 | 66 | 54 | 72 | 54 | 62 | 58 | 0 | 40 | 65 | 100.00 | 1,035,000$/1yrs | |
0 | ![]() | D | 6' 6" | 219 | 26 | 61 | 52 | 65 | 61 | 74 | 64 | 64 | 58 | 40 | 61 | 57 | 65 | 54 | 62 | 57 | 0 | 40 | 63 | 100.00 | 678,899$/1yrs | |
0 | ![]() | D | 6' 0" | 195 | 29 | 56 | 54 | 63 | 60 | 63 | 66 | 65 | 58 | 40 | 58 | 56 | 62 | 54 | 67 | 60 | 0 | 40 | 62 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 6' 0" | 196 | 29 | 58 | 53 | 65 | 56 | 66 | 64 | 60 | 57 | 40 | 61 | 55 | 60 | 54 | 66 | 60 | 0 | 40 | 61 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 5' 11" | 168 | 23 | 56 | 54 | 65 | 57 | 57 | 62 | 61 | 58 | 40 | 59 | 55 | 64 | 54 | 59 | 55 | 0 | 40 | 61 | 100.00 | 1,105,000$/1yrs | |
0 | ![]() | D | 6' 0" | 196 | 29 | 55 | 54 | 66 | 57 | 63 | 60 | 59 | 57 | 40 | 57 | 55 | 62 | 54 | 69 | 61 | 0 | 40 | 60 | 100.00 | 700,000$/1yrs | |
0 | ![]() | D | 5' 11" | 187 | 26 | 56 | 54 | 66 | 56 | 61 | 59 | 58 | 55 | 40 | 55 | 54 | 60 | 54 | 62 | 57 | 0 | 40 | 59 | 100.00 | 793,750$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 2" | 185 | 38 | 80 | 86 | 86 | 76 | 86 | 82 | 99 | 99 | 0 | 40 | 84 | 100.00 | 7,000,000$/1yrs | |||||||
0 | ![]() | 6' 5" | 215 | 33 | 81 | 92 | 94 | 71 | 88 | 79 | 72 | 64 | 0 | 40 | 82 | 100.00 | 1,850,000$/1yrs | |||||||
0 | ![]() | 6' 3" | 193 | 29 | 78 | 79 | 80 | 74 | 87 | 76 | 66 | 58 | 0 | 40 | 80 | 100.00 | 1,150,000$/1yrs | |||||||
0 | ![]() | 6' 0" | 179 | 32 | 80 | 66 | 63 | 62 | 84 | 92 | 59 | 58 | 0 | 40 | 75 | 100.00 | 950,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joel Quenneville | 82 | 86 | 91 | 75 | 95 | 89 | 49 | CAN | 65 | 2 | 4,000,000$ |
General Manager | Yanick Franche |
---|
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|
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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 91,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 53 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 | 2029-2030 |
---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Greer ![]() | LW | 26 | 735,000$ | 735,000$ | |||||||
Adam Erne ![]() | LW | 28 | 1,050,000$ | 1,050,000$ | |||||||
Alan Quine ![]() | C | 30 | 735,000$ | 735,000$ | |||||||
Alex Galchenyuk ![]() | C | 29 | 1,050,000$ | 1,050,000$ | 1,050,000$ | ||||||
Andreas Athanasiou ![]() | C | 28 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | |||||
Andrew Copp ![]() | C | 28 | 3,640,000$ | 3,640,000$ | 3,640,000$ | 3,640,000$ | |||||
Austin Czarnik ![]() | C | 30 | 1,250,000$ | 1,250,000$ | |||||||
Austin Wagner ![]() | LW | 25 | 925,000$ | 925,000$ | |||||||
Ben Harpur ![]() | D | 28 | 700,000$ | 700,000$ | 700,000$ | ||||||
Bryan Rust ![]() | RW | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Carson Soucy ![]() | D | 28 | 750,000$ | 750,000$ | |||||||
Claude Giroux ![]() | RW | 35 | 8,275,000$ | 8,275,000$ | |||||||
Cooper Marody ![]() | RW | 26 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Dakota Mermis ![]() | D | 29 | 700,000$ | 700,000$ | |||||||
Darcy Kuemper ![]() | C | 33 | 1,850,000$ | 1,850,000$ | |||||||
Darnell Nurse ![]() | D | 28 | 3,200,000$ | 3,200,000$ | |||||||
Derrick Pouliot ![]() | D | 29 | 700,000$ | 700,000$ | |||||||
Gage Quinney ![]() | C/LW | 27 | 715,000$ | 715,000$ | |||||||
Gemel Smith ![]() | C | 29 | 700,000$ | 700,000$ | |||||||
Gustav Forsling ![]() | D | 26 | 2,666,667$ | 2,666,667$ | 2,666,667$ | 2,666,667$ | |||||
Gustav Nyquist ![]() | C/LW | 33 | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||||
Jacob MacDonald ![]() | D | 30 | 725,000$ | 725,000$ | 725,000$ | ||||||
Jacob Middleton ![]() | D | 27 | 735,000$ | 735,000$ | |||||||
Jan Jenik ![]() | RW | 22 | 902,500$ | 902,500$ | |||||||
Jean-Sebastien Dea ![]() | C | 29 | 700,000$ | 700,000$ | 700,000$ | ||||||
Jeremy Lauzon ![]() | D | 26 | 871,666$ | 871,666$ | |||||||
Joel L'Esperance ![]() | C | 27 | 722,500$ | 722,500$ | |||||||
Jonathan Marchessault ![]() | C/RW | 32 | 5,000,000$ | 5,000,000$ | |||||||
Joonas Korpisalo ![]() | C | 29 | 1,150,000$ | 1,150,000$ | |||||||
Jordan Greenway ![]() | LW | 26 | 1,225,000$ | 1,225,000$ | |||||||
Lane Pederson ![]() | C | 25 | 690,000$ | 690,000$ | |||||||
Leon Draisaitl ![]() | C | 27 | 8,500,000$ | 8,500,000$ | |||||||
Marc-Andre Fleury ![]() | C | 38 | 7,000,000$ | 7,000,000$ | |||||||
Mario Ferraro ![]() | D | 24 | 1,137,500$ | 1,137,500$ | |||||||
Mark Kastelic ![]() | C | 24 | 821,667$ | 821,667$ | |||||||
Martin Frk ![]() | RW | 29 | 700,000$ | 700,000$ | |||||||
Matt Luff ![]() | RW | 26 | 677,777$ | 677,777$ | |||||||
Nicolas Beaudin ![]() | D | 23 | 1,105,000$ | 1,105,000$ | |||||||
Nicolas Roy ![]() | C | 26 | 815,000$ | 815,000$ | |||||||
Otto Leskinen ![]() | D | 26 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Pavel Francouz ![]() | D | 32 | 950,000$ | 950,000$ | |||||||
Philippe Myers ![]() | D | 26 | 678,899$ | 678,899$ | |||||||
Phillip Danault ![]() | C | 30 | 3,083,333$ | 3,083,333$ | 3,083,333$ | ||||||
Roman Josi ![]() | D | 32 | 4,000,000$ | 4,000,000$ | |||||||
Ryan Nugent-Hopkins ![]() | C | 30 | 6,000,000$ | 6,000,000$ | |||||||
Samuel Girard ![]() | D | 25 | 935,833$ | 935,833$ | |||||||
TJ Brodie ![]() | D | 31 | 4,650,400$ | 4,650,400$ | |||||||
Teddy Blueger ![]() | C | 28 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | |||||
Victor Mete ![]() | D | 24 | 1,200,000$ | 1,200,000$ | |||||||
William Karlsson ![]() | C | 30 | 5,900,000$ | 5,900,000$ | |||||||
William Nylander ![]() | RW | 27 | 6,962,366$ | 6,962,366$ | |||||||
Xavier Ouellet ![]() | D | 29 | 700,000$ | 700,000$ | |||||||
Yanni Gourde ![]() | C | 31 | 5,166,666$ | 5,166,666$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Goalies | |||||||
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
117,262,774$ | 0$ | 0$ | 91,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | T-Mobile Arena | |
City | Las 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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
117,262,774$ | 116,084,639$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
FOWARD | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aidan McDonough | |||||
Caeden Bankier | |||||
Cameron Whynot | |||||
Colten Ellis | |||||
Connor Roulette | |||||
Cross Hanas | |||||
Domenick Fensore | |||||
Elliot Desnoyers | |||||
Evan Nause | |||||
Felix Bibeau | |||||
Isaiah Saville | |||||
Jackson Hallum | |||||
Jacob Melanson | |||||
Jakub Demek | |||||
Jan Bednar | |||||
Jeremy Poirier | |||||
Joaquim Lemay | |||||
Layton Ahac | |||||
Louis Crevier | |||||
Marc Del Gaizo | |||||
Mikko Kokkonen | |||||
Reece Newkirk | |||||
Roni Hirvonen | |||||
Sean Behrens | |||||
Sean Tschigerl | |||||
Shai Buium | |||||
Tristan Lennox | |||||
Tyson Hinds |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aidan McDonough | |||||
Caeden Bankier | |||||
Cameron Whynot | |||||
Colten Ellis | |||||
Connor Roulette | |||||
Cross Hanas | |||||
Domenick Fensore | |||||
Elliot Desnoyers | |||||
Evan Nause | |||||
Felix Bibeau | |||||
Isaiah Saville | |||||
Jackson Hallum | |||||
Jacob Melanson | |||||
Jakub Demek | |||||
Jan Bednar | |||||
Jeremy Poirier | |||||
Joaquim Lemay | |||||
Layton Ahac | |||||
Louis Crevier | |||||
Marc Del Gaizo | |||||
Mikko Kokkonen | |||||
Reece Newkirk | |||||
Roni Hirvonen | |||||
Sean Behrens | |||||
Sean Tschigerl | |||||
Shai Buium | |||||
Tristan Lennox | |||||
Tyson Hinds |