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Full Scoreboard » |
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Full Scoreboard » |
San Jose Sharks 7-7-0, 14pts |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 62 | LW/RW | 100.00 | 72 | 34 | 88 | 76 | 68 | 90 | 80 | 75 | 54 | 78 | 78 | 80 | 71 | 73 | 72 | 57 | 75 | 0 | 29 | 4,500,000$/3yrs | |||
![]() | 73 | C/LW/RW | 100.00 | 68 | 35 | 92 | 73 | 75 | 87 | 90 | 79 | 63 | 76 | 82 | 64 | 80 | 82 | 76 | 44 | 75 | 0 | 33 | 7,500,000$/4yrs | |||
![]() | 50 | LW | 100.00 | 76 | 39 | 94 | 65 | 83 | 80 | 84 | 64 | 61 | 63 | 62 | 73 | 61 | 72 | 70 | 36 | 75 | 0 | 29 | 950,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 37 | 90 | 71 | 73 | 84 | 87 | 67 | 78 | 69 | 63 | 76 | 66 | 68 | 70 | 74 | 75 | 0 | 27 | 1,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 34 | 95 | 78 | 69 | 86 | 90 | 77 | 56 | 76 | 73 | 65 | 78 | 73 | 71 | 51 | 75 | 0 | 30 | 5,400,000$/2yrs | |||
![]() | 55 | C | 100.00 | 67 | 57 | 79 | 82 | 85 | 91 | 89 | 81 | 78 | 79 | 83 | 67 | 82 | 80 | 78 | 68 | 75 | 0 | 32 | 8,500,000$/7yrs | |||
![]() | 0 | RW | 100.00 | 71 | 37 | 92 | 67 | 83 | 87 | 89 | 64 | 58 | 65 | 66 | 67 | 63 | 68 | 69 | 66 | 75 | 0 | 27 | 1,000,000$/1yrs | |||
![]() | 88 | RW | 100.00 | 70 | 38 | 84 | 88 | 74 | 92 | 87 | 89 | 57 | 86 | 93 | 66 | 91 | 75 | 74 | 67 | 75 | 0 | 28 | 11,250,000$/7yrs | |||
![]() | 59 | LW/RW | 100.00 | 69 | 38 | 94 | 74 | 78 | 84 | 77 | 72 | 63 | 69 | 71 | 65 | 74 | 63 | 65 | 81 | 75 | 0 | 24 | 2,100,000$/2yrs | |||
![]() | 71 | C | 100.00 | 65 | 34 | 94 | 77 | 72 | 88 | 89 | 76 | 86 | 78 | 75 | 85 | 76 | 78 | 73 | 55 | 75 | 0 | 32 | 5,900,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 39 | 86 | 70 | 80 | 87 | 90 | 67 | 80 | 68 | 69 | 87 | 66 | 72 | 74 | 64 | 75 | 0 | 29 | 4,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 65 | 38 | 84 | 63 | 75 | 82 | 86 | 61 | 70 | 62 | 60 | 66 | 63 | 67 | 69 | 66 | 75 | 0 | 28 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 57 | 75 | 66 | 91 | 89 | 90 | 62 | 30 | 68 | 55 | 82 | 51 | 69 | 68 | 48 | 75 | 0 | 29 | 2,500,000$/2yrs | |||
![]() | 3 | D | 100.00 | 71 | 40 | 83 | 67 | 85 | 91 | 82 | 62 | 30 | 75 | 60 | 90 | 51 | 73 | 71 | 53 | 75 | 0 | 30 | 4,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 89 | 68 | 70 | 64 | 73 | 89 | 83 | 59 | 30 | 63 | 56 | 76 | 50 | 69 | 70 | 40 | 75 | 0 | 29 | 1,100,000$/2yrs | |||
![]() | 17 | D | 100.00 | 73 | 34 | 84 | 74 | 71 | 93 | 87 | 72 | 30 | 83 | 66 | 76 | 56 | 69 | 71 | 60 | 75 | 0 | 27 | 7,250,000$/8yrs | |||
![]() | 71 | D | 100.00 | 73 | 37 | 85 | 67 | 84 | 90 | 86 | 63 | 30 | 72 | 56 | 84 | 49 | 69 | 70 | 59 | 75 | 0 | 28 | 4,000,000$/4yrs | |||
![]() | 73 | D | 100.00 | 76 | 39 | 71 | 77 | 81 | 94 | 87 | 76 | 30 | 85 | 71 | 83 | 58 | 70 | 75 | 71 | 75 | 0 | 27 | 9,500,000$/6yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 94 | LW/RW | 100.00 | 71 | 38 | 86 | 66 | 69 | 77 | 86 | 63 | 61 | 62 | 60 | 72 | 63 | 69 | 70 | 36 | 75 | 0 | 29 | 775,000$/1yrs | |||
![]() | 91 | RW | 100.00 | 72 | 38 | 90 | 63 | 81 | 76 | 72 | 60 | 62 | 56 | 64 | 61 | 63 | 65 | 67 | 59 | 75 | 0 | 26 | ||||
![]() | 0 | D | 0.00 | 66 | 36 | 95 | 68 | 80 | 83 | 60 | 68 | 30 | 77 | 50 | 69 | 49 | 71 | 73 | 45 | 75 | 0 | 31 | 2,500,000$/1yrs | |||
TEAM AVERAGE | 95.24 | 72 | 40 | 86 | 71 | 78 | 87 | 84 | 69 | 54 | 72 | 67 | 74 | 65 | 71 | 71 | 57 | 75 | 0 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 35 | 100.00 | 98 | 87 | 82 | 89 | 97 | 96 | 98 | 97 | 96 | 98 | 97 | 76 | 85 | 54 | 75 | 0 | 31 | 5,000,000$/1yrs |
![]() | 31 | 100.00 | 88 | 79 | 74 | 98 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 71 | 84 | 59 | 75 | 0 | 31 | 2,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 93 | 83 | 78 | 94 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 74 | 85 | 57 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 89 | 85 | 88 | 87 | 84 | 78 | 64 | USA | 56 | 3 | 5,000,000$ |
General Manager | Francois Burelle |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | David Pastrnak | 88 | RW | 14 | 12 | 9 | 21 | -1 | 6 | 0 | 27 | 92 | 18 | 54 | 13.04% | 2 | 22.02 | 3 | 3 | 6 | 56 | 0 | 0 | 0 | 0 | 2 | 0 | 50.00% | 20 | 0 | 0 | 0 | 0 | 1.36 | 0 | 0 | ||
2 | Charlie McAvoy | 73 | D | 14 | 2 | 13 | 15 | 0 | 4 | 0 | 29 | 29 | 11 | 30 | 6.90% | 27 | 25.24 | 2 | 4 | 6 | 53 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
3 | William Karlsson | 71 | C | 14 | 6 | 8 | 14 | 5 | 6 | 0 | 15 | 58 | 18 | 44 | 10.34% | 3 | 23.05 | 1 | 3 | 4 | 48 | 0 | 0 | 0 | 53 | 1 | 1 | 50.81% | 494 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | ||
4 | Mark Scheifele | 55 | C | 14 | 6 | 7 | 13 | -4 | 4 | 0 | 23 | 55 | 10 | 41 | 10.91% | 1 | 21.18 | 1 | 3 | 4 | 53 | 0 | 0 | 0 | 0 | 2 | 0 | 46.15% | 429 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | ||
5 | Tyler Toffoli | 73 | C/LW/RW | 14 | 5 | 6 | 11 | -7 | 8 | 0 | 14 | 54 | 11 | 24 | 9.26% | 0 | 21.12 | 1 | 2 | 3 | 48 | 0 | 0 | 0 | 12 | 0 | 0 | 50.00% | 38 | 0 | 0 | 0 | 1 | 0.74 | 0 | 0 | ||
6 | Artturi Lehkonen | 62 | LW/RW | 14 | 4 | 6 | 10 | 3 | 8 | 0 | 19 | 62 | 21 | 43 | 6.45% | 7 | 23.38 | 1 | 2 | 3 | 52 | 0 | 0 | 0 | 55 | 0 | 0 | 36.00% | 25 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
7 | Filip Hronek | 17 | D | 14 | 1 | 8 | 9 | -1 | 16 | 0 | 24 | 24 | 11 | 14 | 4.17% | 18 | 22.90 | 1 | 1 | 2 | 53 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
8 | Jonas Siegenthaler | 71 | D | 14 | 0 | 7 | 7 | -1 | 16 | 0 | 16 | 18 | 6 | 8 | 0.00% | 24 | 21.85 | 0 | 1 | 1 | 44 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
9 | Jason Dickinson | 0 | C/LW | 14 | 4 | 2 | 6 | -5 | 4 | 0 | 25 | 34 | 12 | 25 | 11.76% | 1 | 16.16 | 1 | 0 | 1 | 51 | 0 | 0 | 0 | 11 | 0 | 0 | 42.57% | 148 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
10 | Niko Mikkola | 0 | D | 14 | 0 | 5 | 5 | -8 | 4 | 0 | 13 | 2 | 2 | 3 | 0.00% | 20 | 16.44 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
11 | Oliver Bjorkstrand | 0 | LW/RW | 14 | 3 | 2 | 5 | 0 | 2 | 0 | 13 | 30 | 4 | 31 | 10.00% | 1 | 15.85 | 1 | 1 | 2 | 52 | 0 | 0 | 0 | 0 | 1 | 0 | 61.54% | 13 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
12 | Adam Pelech | 3 | D | 14 | 1 | 3 | 4 | 1 | 17 | 5 | 20 | 7 | 1 | 6 | 14.29% | 24 | 19.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
13 | Sam Steel | 0 | C/LW | 14 | 1 | 2 | 3 | -4 | 6 | 0 | 6 | 15 | 0 | 5 | 6.67% | 2 | 11.03 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 53.33% | 45 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
14 | Yegor Chinakhov | 59 | LW/RW | 14 | 1 | 2 | 3 | -2 | 4 | 0 | 10 | 14 | 4 | 9 | 7.14% | 1 | 9.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
15 | Kyle Burroughs | 0 | D | 14 | 1 | 0 | 1 | -7 | 10 | 0 | 21 | 10 | 2 | 5 | 10.00% | 13 | 12.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | ||
16 | Eric Robinson | 50 | LW | 4 | 0 | 0 | 0 | -3 | 5 | 5 | 2 | 4 | 0 | 1 | 0.00% | 0 | 5.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Joel Kiviranta | 94 | LW/RW | 10 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 4 | 1 | 3 | 0.00% | 0 | 5.96 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Taylor Raddysh | 0 | RW | 14 | 0 | 0 | 0 | -6 | 4 | 0 | 6 | 7 | 0 | 5 | 0.00% | 0 | 6.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Mitchell Stephens | 0 | C | 14 | 0 | 0 | 0 | -5 | 2 | 0 | 6 | 9 | 2 | 3 | 0.00% | 0 | 5.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.36% | 73 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 252 | 47 | 80 | 127 | -46 | 126 | 10 | 291 | 528 | 134 | 354 | 8.90% | 144 | 16.64 | 12 | 20 | 32 | 524 | 0 | 0 | 0 | 311 | 7 | 1 | 47.36% | 1307 | 0 | 0 | 0 | 1 | 0.61 | 0 | 0 |
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 | Anthony Stolarz | Sharks | 10 | 5 | 4 | 0 | 0.878 | 3.59 | 535 | 0 | 0 | 32 | 263 | 0 | 0 | 0 | 0.000 | 0 | 9 | 5 | 0 | 1 | 0 |
2 | Linus Ullmark | Sharks | 8 | 2 | 3 | 0 | 0.888 | 3.57 | 319 | 0 | 0 | 19 | 170 | 0 | 0 | 1 | 0.000 | 0 | 5 | 9 | 0 | 0 | 0 |
Team Total or Average | 18 | 7 | 7 | 0 | 0.882 | 3.58 | 855 | 0 | 0 | 51 | 433 | 0 | 0 | 1 | 0.000 | 0 | 14 | 14 | 0 | 1 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 641,392$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 26 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Adam Pelech ![]() | D | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | |||||
Anthony Stolarz ![]() | D/G | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | |||||
Artturi Lehkonen ![]() | LW/RW/G | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | |||||
Charlie McAvoy ![]() | D | 27 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | ||
David Pastrnak ![]() | RW | 28 | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | UFA |
Eric Robinson | LW | 29 | 950,000$ | 950,000$ | |||||||
Filip Hronek | D | 27 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ |
Jason Dickinson | C/LW | 29 | 4,250,000$ | 4,250,000$ | 4,250,000$ | ||||||
Joel Kiviranta ![]() | LW/RW | 29 | 775,000$ | 775,000$ | RFA | ||||||
Jonas Siegenthaler ![]() | D | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||
Kyle Burroughs | D | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Linus Ullmark ![]() | D/G | 31 | 5,000,000$ | 5,000,000$ | |||||||
Mark Scheifele ![]() | C | 32 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA |
Mitchell Stephens ![]() | C | 28 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Niko Mikkola | D | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Oliver Bjorkstrand | LW/RW | 30 | 5,400,000$ | 5,400,000$ | 5,400,000$ | ||||||
Sam Steel | C/LW | 27 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Scott Reedy ![]() | RW | 26 | 0$ | RFA | |||||||
Taylor Raddysh | RW | 27 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Tucker Poolman ![]() | D | 31 | 2,500,000$ | 2,500,000$ | |||||||
Tyler Toffoli | C/LW/RW/G | 33 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||
William Karlsson ![]() | C | 32 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA | ||||
Yegor Chinakhov | LW/RW | 24 | 2,100,000$ | 2,100,000$ | 2,100,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 26 | -6 | 6 | 0.429 | 20 | 34 | 54 | 1 | 0 | 9 | 3 | 6 | 2 | 260 | 92 | 67 | 89 | 12 | 206 | 79 | 66 | 166 | 29 | 7 | 24.14% | 19 | 3 | 84.21% | 0 | 257 | 560 | 45.89% | 247 | 507 | 48.72% | 115 | 240 | 47.92% | 165 | 112 | 174 | 54 | 89 | 43 | 36.1% | 7.7% | 87.4% | 95.1 | Unlucky | |
2 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 27 | 26 | 1 | 8 | 0.571 | 27 | 46 | 73 | 0 | 0 | 12 | 7 | 7 | 1 | 268 | 92 | 85 | 84 | 7 | 228 | 65 | 60 | 125 | 31 | 5 | 16.13% | 26 | 5 | 80.77% | 0 | 257 | 560 | 45.89% | 247 | 507 | 48.72% | 115 | 240 | 47.92% | 172 | 119 | 165 | 53 | 93 | 46 | 51.2% | 10.1% | 88.6% | 98.7 | FUN | |
_Vs Division | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 47 | 52 | -5 | 14 | 0.500 | 47 | 80 | 127 | 1 | 0 | 21 | 10 | 13 | 3 | 528 | 184 | 152 | 173 | 19 | 434 | 144 | 126 | 291 | 60 | 12 | 20.00% | 45 | 8 | 82.22% | 0 | 257 | 560 | 45.89% | 247 | 507 | 48.72% | 115 | 240 | 47.92% | 337 | 231 | 339 | 108 | 182 | 90 | 44.3% | 8.9% | 88.0% | 96.9 | Unlucky | |
_Vs Conference | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 47 | 52 | -5 | 14 | 0.500 | 47 | 80 | 127 | 1 | 0 | 21 | 10 | 13 | 3 | 528 | 184 | 152 | 173 | 19 | 434 | 144 | 126 | 291 | 60 | 12 | 20.00% | 45 | 8 | 82.22% | 0 | 257 | 560 | 45.89% | 247 | 507 | 48.72% | 115 | 240 | 47.92% | 337 | 231 | 339 | 108 | 182 | 90 | 44.3% | 8.9% | 88.0% | 96.9 | Unlucky | |
_Since Last GM Reset | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 47 | 52 | -5 | 14 | 0.500 | 47 | 80 | 127 | 1 | 0 | 21 | 10 | 13 | 3 | 528 | 184 | 152 | 173 | 19 | 434 | 144 | 126 | 291 | 60 | 12 | 20.00% | 45 | 8 | 82.22% | 0 | 257 | 560 | 45.89% | 247 | 507 | 48.72% | 115 | 240 | 47.92% | 337 | 231 | 339 | 108 | 182 | 90 | 44.3% | 8.9% | 88.0% | 96.9 | Unlucky | |
Total | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 47 | 52 | -5 | 14 | 0.500 | 47 | 80 | 127 | 1 | 0 | 21 | 10 | 13 | 3 | 528 | 184 | 152 | 173 | 19 | 434 | 144 | 126 | 291 | 60 | 12 | 20.00% | 45 | 8 | 82.22% | 0 | 257 | 560 | 45.89% | 247 | 507 | 48.72% | 115 | 240 | 47.92% | 337 | 231 | 339 | 108 | 182 | 90 | 44.3% | 8.9% | 88.0% | 96.9 | Unlucky |
Puck Time | |
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Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 560 |
Neutral Zone Start | 240 |
Defensive Zone Start | 507 |
Puck Time | |
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With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 619 |
Faceoffs Lost | 688 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.1 | 9.57 |
2nd Period | 24.0 | 20.31 |
3rd Period | 36.4 | 30.68 |
Overtime | 37.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 34 |
---|---|
PP Goal | 12 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 5 | 2 |
Lost | 2 | 5 |
Overtime Lost | 0 | 0 |
PP Attempt | 60 |
---|---|
PP Goal | 12 |
PK Attempt | 45 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 37.7 |
Shots Against | 31.0 |
Goals For | 3.4 |
Goals Against | 3.7 |
Hits | 20.8 |
Shots Blocked | 10.3 |
Pim | 9.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2025-04-20 | @ | Oilers2,Sharks5 | RECAP | ||
2025-04-22 | @ | Oilers1,Sharks3 | RECAP | ||
2025-04-24 | @ | Sharks3,Oilers6 | RECAP | ||
2025-04-26 | @ | Sharks5,Oilers2 | RECAP | ||
2025-04-28 | @ | Oilers4,Sharks3 | RECAP | ||
2025-04-30 | @ | Sharks3,Oilers7 | RECAP | ||
2025-05-03 | @ | Oilers4,Sharks5 (OT) | RECAP | ||
2025-05-05 | @ | Sharks2,Ducks6 | RECAP | ||
2025-05-07 | @ | Sharks1,Ducks4 | RECAP | ||
2025-05-09 | @ | Ducks4,Sharks5 (OT) | RECAP | ||
2025-05-11 | @ | Ducks6,Sharks4 | RECAP | ||
2025-05-13 | @ | Sharks4,Ducks3 (OT) | RECAP | ||
2025-05-15 | @ | Ducks1,Sharks3 | RECAP | ||
2025-05-17 | @ | Sharks1,Ducks2 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
95,500,000$ | 641,392$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | SAP Center at San Jose | |
City | San Jose | ||
Capacity | 17562 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 3562 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 40224 | 34748 | 14000 | 24934 | 7000 |
Attendance PCT | 95.77% | 99.28% | 100.00% | 100.00% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
34 | 17272 - 98.35% | 2,178,482$ | 15,249,375$ | 17562 | 95 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
95,500,000$ | 90,850,000$ | 0$ | 641,392$ |
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$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 172,705,205$ | 172,705,205$ |
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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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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
---|---|---|---|---|---|
Alex Young | 2021 | 216 | |||
Alexander Perevalov | 2022 | 36 | |||
Andre Gasseau | 2021 | 184 | |||
Cameron O'Neill | 2023 | 221 | |||
Cole O'Hara | 2023 | 223 | ELC 2025-26 | Link | |
Eric Engstrand | 2020 | 186 | |||
Eric Hjorth | 2019 | 112 | |||
Hugo Ollas | 2021 | 206 | ELC 2024-25 | Link | |
Jake Livanavage | 2022 | 160 | |||
Jamiro Reber | 2024 | 186 | |||
Jordan Gustafson | 2023 | 184 | Link | ||
Justin Coté | 2022 | 188 | |||
Justin Kipkie | 2023 | 189 | |||
Kyle Crnkovic | 2020 | 155 | |||
Luke Mittlestadt | 2023 | 102 | |||
Markus Vidicek | 2022 | 120 | |||
Owen Lindmark | 2019 | 143 | |||
Roddy Ross | 2019 | 174 | |||
Shamil Shmakov | |||||
Simon Kjellberg | 2018 | 167 | |||
Simon Zether | 2024 | 63 |
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