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Full Scoreboard »» |
San Jose Sharks 8-10-4, 20pts · 13th in Conference Ouest |
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 | 79 | 44 | 86 | 83 | 67 | 76 | 79 | 77 | 37 | 75 | 80 | 60 | 63 | 77 | 80 | 76 | 50 | 0 | 31 | 5,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 41 | 86 | 80 | 72 | 73 | 88 | 71 | 74 | 62 | 70 | 88 | 71 | 79 | 84 | 73 | 50 | 0 | 34 | 2,050,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 43 | 90 | 82 | 79 | 79 | 94 | 82 | 82 | 82 | 90 | 69 | 49 | 79 | 83 | 83 | 50 | 0 | 30 | 6,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 42 | 93 | 80 | 67 | 68 | 87 | 67 | 43 | 71 | 78 | 75 | 63 | 76 | 79 | 76 | 50 | 0 | 31 | 2,100,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 71 | 42 | 81 | 79 | 65 | 79 | 96 | 78 | 36 | 80 | 86 | 82 | 25 | 63 | 65 | 83 | 50 | 0 | 24 | 1,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 44 | 93 | 74 | 78 | 64 | 85 | 61 | 50 | 60 | 64 | 77 | 25 | 75 | 75 | 68 | 50 | 0 | 28 | 2,200,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 41 | 86 | 90 | 70 | 78 | 92 | 82 | 65 | 82 | 82 | 60 | 73 | 83 | 85 | 78 | 50 | 0 | 31 | 8,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 81 | 64 | 80 | 77 | 70 | 62 | 93 | 59 | 91 | 54 | 56 | 84 | 25 | 75 | 76 | 65 | 50 | 0 | 33 | 1,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 85 | 79 | 68 | 82 | 79 | 47 | 48 | 72 | 80 | 73 | 83 | 55 | 42 | 80 | 84 | 55 | 50 | 0 | 33 | 7,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 87 | 78 | 72 | 80 | 73 | 74 | 68 | 83 | 52 | 73 | 84 | 62 | 90 | 82 | 87 | 78 | 50 | 0 | 35 | 5,750,000$/3yrs | |||
![]() | 0 | C | 100.00 | 78 | 74 | 86 | 74 | 65 | 59 | 82 | 67 | 78 | 60 | 70 | 67 | 25 | 58 | 58 | 69 | 50 | 0 | 28 | 762,500$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 41 | 97 | 80 | 64 | 67 | 98 | 60 | 65 | 61 | 71 | 77 | 75 | 63 | 63 | 71 | 50 | 0 | 26 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 99 | 99 | 65 | 68 | 75 | 72 | 63 | 59 | 25 | 45 | 48 | 83 | 25 | 56 | 56 | 62 | 50 | 0 | 27 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 44 | 92 | 74 | 72 | 81 | 94 | 61 | 25 | 64 | 48 | 91 | 25 | 69 | 71 | 67 | 50 | 0 | 32 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 42 | 90 | 82 | 68 | 82 | 90 | 58 | 25 | 56 | 48 | 92 | 25 | 64 | 65 | 66 | 50 | 0 | 25 | 4,400,000$/5yrs | |||
![]() | 0 | D | 100.00 | 82 | 76 | 77 | 78 | 84 | 83 | 91 | 58 | 25 | 52 | 47 | 87 | 75 | 78 | 80 | 64 | 50 | 0 | 30 | 4,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 91 | 46 | 72 | 74 | 73 | 69 | 57 | 58 | 25 | 47 | 49 | 87 | 45 | 73 | 74 | 62 | 50 | 0 | 35 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 52 | 87 | 85 | 71 | 76 | 77 | 61 | 25 | 55 | 48 | 82 | 25 | 66 | 67 | 63 | 50 | 0 | 25 | 2,200,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 87 | 99 | 56 | 78 | 80 | 57 | 88 | 59 | 39 | 53 | 62 | 84 | 53 | 71 | 71 | 67 | 50 | 0 | 30 | 1,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 44 | 93 | 65 | 76 | 63 | 82 | 63 | 31 | 64 | 72 | 67 | 75 | 59 | 59 | 69 | 50 | 0 | 27 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 54 | 85 | 79 | 74 | 72 | 95 | 58 | 25 | 55 | 48 | 81 | 25 | 69 | 71 | 64 | 50 | 0 | 28 | 2,750,000$/4yrs | |||
TEAM AVERAGE | 100.00 | 77 | 57 | 83 | 78 | 72 | 71 | 83 | 66 | 48 | 63 | 66 | 77 | 48 | 71 | 73 | 69 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 63 | 72 | 72 | 82 | 65 | 60 | 83 | 63 | 65 | 63 | 72 | 70 | 71 | 67 | 50 | 0 | 35 | 3,666,667$/1yrs |
![]() | 0 | 100.00 | 65 | 71 | 71 | 80 | 65 | 64 | 72 | 68 | 65 | 65 | 95 | 70 | 70 | 67 | 50 | 0 | 32 | 2,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 67 | 67 | 66 | 78 | 73 | 61 | 73 | 66 | 69 | 67 | 59 | 59 | 59 | 68 | 50 | 0 | 29 | 2,750,000$/3yrs |
TEAM AVERAGE | 100.00 | 65 | 70 | 70 | 80 | 68 | 62 | 76 | 66 | 66 | 65 | 75 | 66 | 67 | 67 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 77 | 80 | 70 | 66 | 80 | 65 | 67 | 60 | 75 | 54 | 62 | 65 | 59 | 45 | 45 | 63 | 57 | 0 | 24 | 874,125$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 70 | 86 | 68 | 70 | 67 | 69 | 62 | 50 | 53 | 66 | 64 | 63 | 44 | 44 | 65 | 57 | 0 | 23 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 42 | 79 | 76 | 70 | 67 | 62 | 59 | 25 | 50 | 47 | 64 | 25 | 55 | 55 | 58 | 57 | 0 | 24 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 81 | 44 | 88 | 81 | 72 | 62 | 78 | 55 | 25 | 54 | 48 | 72 | 75 | 75 | 75 | 62 | 22 | 0 | 31 | 850,000$/1yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
![]() | 0 | 100.00 | 62 | 60 | 58 | 81 | 65 | 58 | 69 | 64 | 65 | 62 | 91 | 47 | 47 | 63 | 22 | 0 | 27 | 700,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Yes Martel |
---|
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 | Brock Nelson | 0 | C/LW | 22 | 9 | 21 | 30 | 5 | 2 | 0 | 30 | 69 | 24 | 50 | 13.04% | 20 | 22.58 | 2 | 5 | 7 | 55 | 0 | 0 | 0 | 76 | 2 | 0 | 51.37% | 693 | 12 | 4 | 0 | 0 | 1.21 | 0 | 0 | ||
2 | Matt Duchene | 0 | C/RW | 22 | 13 | 14 | 27 | 10 | 14 | 0 | 23 | 88 | 24 | 38 | 14.77% | 12 | 20.21 | 4 | 3 | 7 | 55 | 0 | 0 | 0 | 71 | 2 | 0 | 40.74% | 27 | 28 | 4 | 0 | 0 | 1.21 | 0 | 2 | ||
3 | Brandon Hagel | 0 | LW | 22 | 9 | 11 | 20 | 5 | 12 | 0 | 29 | 67 | 21 | 49 | 13.43% | 8 | 20.77 | 1 | 4 | 5 | 55 | 0 | 0 | 0 | 36 | 0 | 2 | 26.92% | 52 | 14 | 10 | 0 | 0 | 0.88 | 0 | 0 | ||
4 | Calle Jarnkrok | 0 | LW/RW | 22 | 6 | 8 | 14 | 7 | 0 | 0 | 16 | 49 | 14 | 32 | 12.24% | 4 | 13.84 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 6 | 0 | 1 | 27.27% | 11 | 15 | 5 | 0 | 0 | 0.92 | 0 | 0 | ||
5 | Nick Bonino | 0 | C/LW | 22 | 4 | 9 | 13 | 2 | 4 | 0 | 34 | 25 | 11 | 21 | 16.00% | 7 | 17.51 | 0 | 2 | 2 | 42 | 1 | 0 | 1 | 25 | 0 | 0 | 47.18% | 248 | 3 | 6 | 0 | 0 | 0.68 | 0 | 1 | ||
6 | Kyle Palmieri | 0 | LW/RW | 22 | 4 | 8 | 12 | 0 | 6 | 0 | 31 | 71 | 20 | 42 | 5.63% | 8 | 17.40 | 0 | 2 | 2 | 42 | 0 | 1 | 1 | 29 | 2 | 0 | 15.00% | 20 | 17 | 4 | 0 | 0 | 0.63 | 0 | 0 | ||
7 | T.J. Oshie | 0 | RW | 22 | 7 | 3 | 10 | -4 | 47 | 15 | 45 | 72 | 18 | 38 | 9.72% | 10 | 18.26 | 3 | 0 | 3 | 41 | 0 | 1 | 1 | 31 | 0 | 0 | 50.00% | 28 | 6 | 3 | 0 | 0 | 0.50 | 0 | 3 | ||
8 | Luke Glendening | 0 | C/LW/RW | 22 | 3 | 6 | 9 | 6 | 12 | 0 | 26 | 28 | 7 | 19 | 10.71% | 3 | 11.62 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 60.16% | 123 | 7 | 4 | 0 | 0 | 0.70 | 0 | 0 | ||
9 | Nick Jensen | 0 | D | 22 | 1 | 8 | 9 | 8 | 4 | 0 | 16 | 31 | 7 | 9 | 3.23% | 24 | 21.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0 | 0 | 0.00% | 0 | 1 | 19 | 0 | 0 | 0.38 | 0 | 0 | ||
10 | Max Pacioretty | 0 | LW | 22 | 2 | 6 | 8 | -6 | 6 | 0 | 29 | 42 | 20 | 34 | 4.76% | 2 | 10.92 | 0 | 1 | 1 | 59 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 13 | 1 | 0 | 0 | 0.67 | 0 | 0 | ||
11 | Austin Watson | 0 | LW/RW | 22 | 3 | 3 | 6 | 7 | 55 | 15 | 32 | 37 | 11 | 19 | 8.11% | 6 | 10.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.71% | 14 | 3 | 1 | 0 | 0 | 0.50 | 0 | 0 | ||
12 | John Marino | 0 | D | 22 | 1 | 5 | 6 | 6 | 2 | 0 | 22 | 27 | 13 | 19 | 3.70% | 41 | 27.41 | 1 | 1 | 2 | 59 | 0 | 0 | 0 | 77 | 0 | 0 | 0.00% | 0 | 2 | 23 | 0 | 0 | 0.20 | 0 | 0 | ||
13 | Sheldon Dries | 0 | C | 22 | 1 | 3 | 4 | -5 | 34 | 10 | 11 | 17 | 7 | 14 | 5.88% | 5 | 7.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.82% | 61 | 2 | 6 | 0 | 0 | 0.47 | 0 | 0 | ||
14 | Jordie Benn | 0 | D | 22 | 0 | 3 | 3 | 6 | 12 | 0 | 23 | 10 | 2 | 2 | 0.00% | 17 | 14.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 0 | 15 | 0 | 0 | 0.19 | 0 | 0 | ||
15 | Ethan Bear | 0 | D | 22 | 0 | 3 | 3 | -3 | 15 | 5 | 14 | 22 | 6 | 2 | 0.00% | 19 | 18.17 | 0 | 0 | 0 | 38 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 2 | 15 | 0 | 0 | 0.15 | 0 | 0 | ||
16 | Erik Gudbranson | 0 | D | 22 | 0 | 2 | 2 | -3 | 27 | 5 | 28 | 16 | 11 | 14 | 0.00% | 41 | 21.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 3 | 16 | 0 | 0 | 0.08 | 1 | 2 | ||
17 | Pius Suter | 0 | C/LW | 22 | 2 | 0 | 2 | -5 | 0 | 0 | 5 | 18 | 5 | 14 | 11.11% | 6 | 7.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 4 | 2 | 3 | 0 | 0 | 0.24 | 1 | 3 | ||
18 | Kyle Burroughs | 0 | D | 22 | 0 | 0 | 0 | 5 | 23 | 5 | 29 | 11 | 4 | 3 | 0.00% | 20 | 13.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 1 | 10 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 396 | 65 | 113 | 178 | 41 | 275 | 55 | 443 | 700 | 225 | 419 | 9.29% | 253 | 16.42 | 11 | 18 | 29 | 490 | 1 | 2 | 3 | 559 | 8 | 3 | 48.99% | 1286 | 131 | 149 | 0 | 0 | 0.55 | 2 | 11 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Martin Jones | 14 | 7 | 5 | 2 | 0.918 | 2.63 | 843 | 2 | 0 | 37 | 450 | 259 | 0 | 1 | 0.000 | 3 | 14 | 8 | 2 | 1 | 0 | |
2 | Cam Talbot | 8 | 1 | 5 | 2 | 0.903 | 3.07 | 488 | 0 | 0 | 25 | 257 | 149 | 0 | 0 | 0.667 | 9 | 8 | 14 | 1 | 1 | 0 | |
Team Total or Average | 22 | 8 | 10 | 4 | 0.912 | 2.79 | 1332 | 2 | 0 | 62 | 707 | 408 | 0 | 1 | 0.500 | 12 | 22 | 22 | 3 | 2 | 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 |
# | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 38 | 7 | 16 | 15 | 0 | 20 | 8 | 16 | 28 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 23 | 13 | 17 | 9 | 18 | 9 | 75.0% | 7.9% | 95.0% | 102.9 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 11 | 11 | 7 | 0 | 32 | 16 | 11 | 25 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 20 | 11 | 21 | 9 | 18 | 8 | 20.0% | 3.4% | 87.5% | 90.9 | Unlucky | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 1 | 29 | 19 | 6 | 4 | 4 | 37 | 17 | 31 | 21 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 23 | 13 | 21 | 9 | 19 | 9 | 25.0% | 6.9% | 91.9% | 98.8 | DULL | |
4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 1 | 29 | 13 | 11 | 4 | 3 | 36 | 3 | 59 | 16 | 2 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 21 | 10 | 24 | 9 | 19 | 10 | 66.7% | 13.8% | 86.1% | 99.9 | FUN | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 34 | 20 | 6 | 8 | 0 | 30 | 16 | 8 | 14 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 20 | 11 | 21 | 9 | 17 | 8 | 42.9% | 8.8% | 86.7% | 95.5 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 15 | 9 | 12 | 0 | 35 | 13 | 4 | 24 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 22 | 13 | 21 | 8 | 16 | 7 | 75.0% | 8.3% | 94.3% | 102.6 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 1 | 1 | 0 | 22 | 6 | 4 | 12 | 0 | 31 | 7 | 15 | 15 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 19 | 11 | 21 | 9 | 18 | 8 | 42.9% | 13.6% | 83.9% | 97.5 | FUN | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 6 | 3 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 2 | 2 | 5 | 0 | 62 | 15 | 19 | 27 | 6 | 59 | 18 | 16 | 43 | 9 | 3 | 33.33% | 8 | 3 | 62.50% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 41 | 24 | 44 | 20 | 38 | 18 | 66.7% | 14.5% | 89.8% | 104.3 | FUN | |
9 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 10 | 2 | 3 | 0.500 | 12 | 22 | 34 | 0 | 0 | 1 | 6 | 5 | 0 | 103 | 29 | 44 | 30 | 0 | 110 | 45 | 23 | 59 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 1 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 64 | 37 | 63 | 27 | 52 | 25 | 55.0% | 11.7% | 90.9% | 102.6 | FUN | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 13 | 7 | 13 | 0 | 34 | 14 | 10 | 21 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 20 | 12 | 22 | 9 | 17 | 8 | 50.0% | 3.0% | 91.2% | 94.2 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 25 | 8 | 8 | 9 | 0 | 29 | 15 | 36 | 24 | 1 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 15 | 6 | 25 | 12 | 18 | 7 | 75.0% | 12.0% | 96.6% | 108.6 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 31 | 4 | 20 | 7 | 0 | 24 | 7 | 2 | 28 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 23 | 12 | 17 | 8 | 18 | 10 | 40.0% | 6.5% | 83.3% | 89.8 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 58 | 29 | 12 | 17 | 0 | 56 | 21 | 14 | 36 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 40 | 21 | 42 | 19 | 37 | 18 | 50.0% | 6.9% | 92.9% | 99.8 | DULL | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 4 | 2 | 1 | 0 | 64 | 19 | 26 | 19 | 0 | 64 | 20 | 10 | 35 | 10 | 2 | 20.00% | 5 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 40 | 23 | 43 | 19 | 35 | 17 | 50.0% | 10.9% | 92.2% | 103.1 | LUCKY | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 74 | 26 | 22 | 26 | 0 | 70 | 19 | 16 | 38 | 3 | 1 | 33.33% | 8 | 2 | 75.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 43 | 26 | 42 | 17 | 34 | 16 | 42.9% | 5.4% | 91.4% | 96.8 | DULL | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 33 | 11 | 17 | 5 | 0 | 41 | 14 | 6 | 16 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 22 | 14 | 21 | 7 | 15 | 7 | 66.7% | 12.1% | 92.7% | 104.8 | LUCKY | |
_Vs Division | 8 | 2 | 5 | 0 | 0 | 1 | 0 | 0 | 23 | 27 | -4 | 5 | 0.313 | 23 | 41 | 64 | 0 | 0 | 4 | 12 | 7 | 0 | 270 | 81 | 114 | 75 | 0 | 277 | 101 | 58 | 166 | 18 | 4 | 22.22% | 24 | 6 | 75.00% | 1 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 175 | 103 | 165 | 71 | 139 | 70 | 47.5% | 8.5% | 90.3% | 98.8 | Unlucky | |
_Vs Conference | 11 | 3 | 7 | 0 | 0 | 1 | 0 | 0 | 32 | 37 | -5 | 7 | 0.318 | 32 | 56 | 88 | 1 | 0 | 10 | 14 | 8 | 0 | 351 | 115 | 132 | 104 | 0 | 367 | 139 | 117 | 219 | 25 | 4 | 16.00% | 42 | 7 | 83.33% | 1 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 231 | 132 | 235 | 102 | 194 | 94 | 48.3% | 9.1% | 89.9% | 99.0 | FUN | |
_Since Last GM Reset | 22 | 8 | 10 | 0 | 0 | 1 | 0 | 3 | 65 | 66 | -1 | 20 | 0.455 | 65 | 113 | 178 | 1 | 0 | 21 | 25 | 19 | 2 | 700 | 245 | 238 | 215 | 13 | 708 | 253 | 277 | 443 | 61 | 11 | 18.03% | 82 | 17 | 79.27% | 1 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 466 | 264 | 472 | 207 | 397 | 193 | 52.4% | 9.3% | 90.7% | 100.0 | FUN | |
Total | 22 | 8 | 10 | 0 | 0 | 1 | 0 | 3 | 65 | 66 | -1 | 20 | 0.455 | 65 | 113 | 178 | 1 | 0 | 21 | 25 | 19 | 2 | 700 | 245 | 238 | 215 | 13 | 708 | 253 | 277 | 443 | 61 | 11 | 18.03% | 82 | 17 | 79.27% | 1 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 466 | 264 | 472 | 207 | 397 | 193 | 52.4% | 9.3% | 90.7% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 484 |
Neutral Zone Start | 319 |
Defensive Zone Start | 475 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 630 |
Faceoffs Lost | 648 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 31.7 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 52 |
---|---|
PP Goal | 11 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 6 |
Lost | 7 | 3 |
Overtime Lost | 4 | 0 |
PP Attempt | 61 |
---|---|
PP Goal | 11 |
PK Attempt | 82 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 31.8 |
Shots Against | 32.2 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 20.1 |
Shots Blocked | 11.5 |
Pim | 12.6 |
Projected Total Cap Hit | 73,129,167$ |
Projected Cap Space | 9,370,833$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 19,044,050$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Sharks Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Forsberg ![]() | G | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | |||||
Austin Watson ![]() | LW/RW | 30 | 1,500,000$ | 1,500,000$ | |||||||
Brandon Hagel ![]() | LW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Brett Kulak ![]() | D | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||
Brock Nelson ![]() | C/LW | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Calle Jarnkrok ![]() | LW/RW | 31 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||
Cam Talbot ![]() | G | 35 | 3,666,667$ | 3,666,667$ | |||||||
Erik Gudbranson ![]() | D | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||
Ethan Bear ![]() | D | 25 | 2,200,000$ | 2,200,000$ | |||||||
Hudson Fasching ![]() | RW | 27 | 750,000$ | 750,000$ | |||||||
John Marino ![]() | D | 25 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | |||
Jordie Benn ![]() | D | 35 | 750,000$ | 750,000$ | |||||||
Kyle Burroughs ![]() | D | 27 | 750,000$ | 750,000$ | |||||||
Kyle Palmieri ![]() | LW/RW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Luke Glendening ![]() | C/LW/RW | 33 | 1,500,000$ | 1,500,000$ | |||||||
Martin Jones ![]() | G | 32 | 2,000,000$ | 2,000,000$ | |||||||
Matt Duchene ![]() | C/RW | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||||
Max Pacioretty ![]() | LW | 33 | 7,000,000$ | 7,000,000$ | |||||||
Nick Bonino ![]() | C/LW | 34 | 2,050,000$ | 2,050,000$ | |||||||
Nick Jensen ![]() | D | 32 | 2,500,000$ | 2,500,000$ | |||||||
Pius Suter ![]() | C/LW | 26 | 3,250,000$ | 3,250,000$ | |||||||
Sheldon Dries ![]() | C | 28 | 762,500$ | 762,500$ | 762,500$ | ||||||
T.J. Oshie ![]() | RW | 35 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | |||||
Zemgus Girgensons ![]() | C/LW | 28 | 2,200,000$ | 2,200,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 38 | 7 | 16 | 15 | 0 | 20 | 8 | 16 | 28 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 23 | 13 | 17 | 9 | 18 | 9 | 75.0% | 7.9% | 95.0% | 102.9 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 11 | 11 | 7 | 0 | 32 | 16 | 11 | 25 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 20 | 11 | 21 | 9 | 18 | 8 | 20.0% | 3.4% | 87.5% | 90.9 | Unlucky | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 1 | 29 | 19 | 6 | 4 | 4 | 37 | 17 | 31 | 21 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 23 | 13 | 21 | 9 | 19 | 9 | 25.0% | 6.9% | 91.9% | 98.8 | DULL | |
4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 1 | 29 | 13 | 11 | 4 | 3 | 36 | 3 | 59 | 16 | 2 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 21 | 10 | 24 | 9 | 19 | 10 | 66.7% | 13.8% | 86.1% | 99.9 | FUN | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 34 | 20 | 6 | 8 | 0 | 30 | 16 | 8 | 14 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 20 | 11 | 21 | 9 | 17 | 8 | 42.9% | 8.8% | 86.7% | 95.5 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 15 | 9 | 12 | 0 | 35 | 13 | 4 | 24 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 22 | 13 | 21 | 8 | 16 | 7 | 75.0% | 8.3% | 94.3% | 102.6 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 1 | 1 | 0 | 22 | 6 | 4 | 12 | 0 | 31 | 7 | 15 | 15 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 19 | 11 | 21 | 9 | 18 | 8 | 42.9% | 13.6% | 83.9% | 97.5 | FUN | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 6 | 3 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 2 | 2 | 5 | 0 | 62 | 15 | 19 | 27 | 6 | 59 | 18 | 16 | 43 | 9 | 3 | 33.33% | 8 | 3 | 62.50% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 41 | 24 | 44 | 20 | 38 | 18 | 66.7% | 14.5% | 89.8% | 104.3 | FUN | |
9 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 10 | 2 | 3 | 0.500 | 12 | 22 | 34 | 0 | 0 | 1 | 6 | 5 | 0 | 103 | 29 | 44 | 30 | 0 | 110 | 45 | 23 | 59 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 1 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 64 | 37 | 63 | 27 | 52 | 25 | 55.0% | 11.7% | 90.9% | 102.6 | FUN | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 13 | 7 | 13 | 0 | 34 | 14 | 10 | 21 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 20 | 12 | 22 | 9 | 17 | 8 | 50.0% | 3.0% | 91.2% | 94.2 | DULL | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 25 | 8 | 8 | 9 | 0 | 29 | 15 | 36 | 24 | 1 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 15 | 6 | 25 | 12 | 18 | 7 | 75.0% | 12.0% | 96.6% | 108.6 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 31 | 4 | 20 | 7 | 0 | 24 | 7 | 2 | 28 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 23 | 12 | 17 | 8 | 18 | 10 | 40.0% | 6.5% | 83.3% | 89.8 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 58 | 29 | 12 | 17 | 0 | 56 | 21 | 14 | 36 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 40 | 21 | 42 | 19 | 37 | 18 | 50.0% | 6.9% | 92.9% | 99.8 | DULL | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 4 | 2 | 1 | 0 | 64 | 19 | 26 | 19 | 0 | 64 | 20 | 10 | 35 | 10 | 2 | 20.00% | 5 | 0 | 100.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 40 | 23 | 43 | 19 | 35 | 17 | 50.0% | 10.9% | 92.2% | 103.1 | LUCKY | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 74 | 26 | 22 | 26 | 0 | 70 | 19 | 16 | 38 | 3 | 1 | 33.33% | 8 | 2 | 75.00% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 43 | 26 | 42 | 17 | 34 | 16 | 42.9% | 5.4% | 91.4% | 96.8 | DULL | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 33 | 11 | 17 | 5 | 0 | 41 | 14 | 6 | 16 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 22 | 14 | 21 | 7 | 15 | 7 | 66.7% | 12.1% | 92.7% | 104.8 | LUCKY | |
_Vs Division | 8 | 2 | 5 | 0 | 0 | 1 | 0 | 0 | 23 | 27 | -4 | 5 | 0.313 | 23 | 41 | 64 | 0 | 0 | 4 | 12 | 7 | 0 | 270 | 81 | 114 | 75 | 0 | 277 | 101 | 58 | 166 | 18 | 4 | 22.22% | 24 | 6 | 75.00% | 1 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 175 | 103 | 165 | 71 | 139 | 70 | 47.5% | 8.5% | 90.3% | 98.8 | Unlucky | |
_Vs Conference | 11 | 3 | 7 | 0 | 0 | 1 | 0 | 0 | 32 | 37 | -5 | 7 | 0.318 | 32 | 56 | 88 | 1 | 0 | 10 | 14 | 8 | 0 | 351 | 115 | 132 | 104 | 0 | 367 | 139 | 117 | 219 | 25 | 4 | 16.00% | 42 | 7 | 83.33% | 1 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 231 | 132 | 235 | 102 | 194 | 94 | 48.3% | 9.1% | 89.9% | 99.0 | FUN | |
_Since Last GM Reset | 22 | 8 | 10 | 0 | 0 | 1 | 0 | 3 | 65 | 66 | -1 | 20 | 0.455 | 65 | 113 | 178 | 1 | 0 | 21 | 25 | 19 | 2 | 700 | 245 | 238 | 215 | 13 | 708 | 253 | 277 | 443 | 61 | 11 | 18.03% | 82 | 17 | 79.27% | 1 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 466 | 264 | 472 | 207 | 397 | 193 | 52.4% | 9.3% | 90.7% | 100.0 | FUN | |
Total | 22 | 8 | 10 | 0 | 0 | 1 | 0 | 3 | 65 | 66 | -1 | 20 | 0.455 | 65 | 113 | 178 | 1 | 0 | 21 | 25 | 19 | 2 | 700 | 245 | 238 | 215 | 13 | 708 | 253 | 277 | 443 | 61 | 11 | 18.03% | 82 | 17 | 79.27% | 1 | 248 | 484 | 51.24% | 227 | 475 | 47.79% | 155 | 319 | 48.59% | 466 | 264 | 472 | 207 | 397 | 193 | 52.4% | 9.3% | 90.7% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 484 |
Neutral Zone Start | 319 |
Defensive Zone Start | 475 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 630 |
Faceoffs Lost | 648 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 31.7 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 52 |
---|---|
PP Goal | 11 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 6 |
Lost | 7 | 3 |
Overtime Lost | 4 | 0 |
PP Attempt | 61 |
---|---|
PP Goal | 11 |
PK Attempt | 82 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 31.8 |
Shots Against | 32.2 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 20.1 |
Shots Blocked | 11.5 |
Pim | 12.6 |
Date | Matchup | Result | Detail | ||
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2023-10-08 | @ | Golden Knights4,Sharks3 | RECAP | ||
2023-10-10 | @ | Avalanche5,Sharks3 | RECAP | ||
2023-10-13 | @ | Hurricanes1,Sharks5 | RECAP | ||
2023-10-15 | @ | Bruins1,Sharks3 | RECAP | ||
2023-10-17 | @ | Sharks3,Predators1 | RECAP | ||
2023-10-20 | @ | Sharks3,Panthers1 | RECAP | ||
2023-10-22 | @ | Sharks3,Lightning2 | RECAP | ||
2023-10-23 | @ | Sharks2,Hurricanes4 | RECAP | ||
2023-10-25 | @ | Sharks5,Capitals1 | RECAP | ||
2023-10-29 | @ | Canucks4,Sharks3 (OT) | RECAP | ||
2023-10-31 | @ | Penguins3,Sharks1 | RECAP | ||
2023-11-03 | @ | Flyers5,Sharks4 (SO) | RECAP | ||
2023-11-05 | @ | Oilers4,Sharks2 | RECAP | ||
2023-11-06 | @ | Sharks1,Golden Knights2 | RECAP | ||
2023-11-08 | @ | Sharks1,Ducks4 | RECAP | ||
2023-11-10 | @ | Panthers3,Sharks1 | RECAP | ||
2023-11-12 | @ | Blues4,Sharks3 | RECAP | ||
2023-11-16 | @ | Sharks7,Canucks3 | RECAP | ||
2023-11-18 | @ | Sharks4,Kraken3 | RECAP | ||
2023-11-20 | @ | Canadiens3,Sharks2 (SO) | RECAP | ||
2023-11-21 | @ | Canucks3,Sharks2 | RECAP | ||
2023-11-23 | @ | Capitals5,Sharks4 (SO) | RECAP | ||
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2024-03-22 | @ | ||||
2024-03-24 | @ | ||||
2024-03-26 | @ | ||||
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2024-03-31 | @ | ||||
2024-04-02 | @ | ||||
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2024-04-05 | @ | ||||
2024-04-07 | @ | ||||
2024-04-09 | @ | ||||
2024-04-11 | @ | ||||
2024-04-14 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
73,129,167$ | 0$ | 73,129,167$ | 9,370,833$ |
Arena | Goal Horn | About us | |
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![]() | Name | SAP Center | |
City | San Jose | ||
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 | 74736 | 59674 | 24785 | 48919 | 12462 |
Attendance PCT | 95.82% | 91.81% | 95.33% | 94.08% | 95.86% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
28 | 16967 - 94.26% | 613,447$ | 7,974,814$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
73,129,167$ | 73,129,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
19,044,050$ | 73,129,167$ | 19,044,050$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
17,176,522$ | 142 | 380,881$ | 54,085,102$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
56,488,282$ | 73,129,167$ | -511,810,730$ | -551,122,490$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Priority | Type | Description |
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8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
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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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1 ballo nj 2023 | |||||
Anthony Bitetto | Link | ||||
Axel Bergkvist | 2019 | 206 | |||
Axel Rindell | 2020 | 179 | |||
Ben Brinkman | 2019 | 184 | |||
David Hrenak | 2018 | 145 | |||
Devante Smith-Pelly | Link | ||||
Ilya Soloyov | 2020 | 210 | |||
Jay Beagle | Link | ||||
Kevin Connauton | Link | ||||
Linus Lindstrom | 2016 | 94 | |||
Luke Green | 2016 | 64 | |||
Marshall Warren | 2019 | 175 | |||
Michael Sgarbossa | Link | ||||
Nicolas Meloche | Link | ||||
Owen Lindmark | 2019 | 153 | |||
Owen McLaughlin | 2021 | 211 | |||
Philip Nyberg | 2016 | 132 | |||
Quinn Schmiemann | 2019 | 189 | |||
Rhett Pitlick | 2019 | 144 | |||
Riley Barber | Link | ||||
Sasha Chmelevski | Link | ||||
Shea Weber | Link | ||||
Tanner Kero | Link | ||||
Wyatt Schingoethe | 2020 | 197 | |||
Zachary Bouthillier | 2018 | 207 | |||
Zdeno Chara | Link |
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