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Full Scoreboard »» |
San Jose Sharks 28-11-5, 61pts · 2nd 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 | C | 100.00 | 64 | 43 | 87 | 76 | 88 | 87 | 89 | 79 | 90 | 83 | 76 | 81 | 78 | 82 | 93 | 51 | 50 | 76 | 32 | 10,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 91 | 43 | 80 | 85 | 91 | 87 | 89 | 83 | 54 | 72 | 95 | 56 | 89 | 85 | 93 | 48 | 50 | 76 | 34 | 9,538,460$/2yrs | |||
![]() | 0 | LW | 100.00 | 68 | 40 | 85 | 72 | 77 | 83 | 87 | 71 | 53 | 74 | 80 | 78 | 75 | 79 | 77 | 51 | 50 | 71 | 30 | 4,450,000$/3yrs | |||
![]() | 0 | C | 100.00 | 73 | 42 | 80 | 76 | 71 | 82 | 86 | 75 | 81 | 70 | 70 | 77 | 72 | 86 | 79 | 25 | 50 | 71 | 35 | 7,000,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 83 | 40 | 85 | 68 | 76 | 81 | 88 | 66 | 54 | 70 | 67 | 88 | 69 | 77 | 67 | 43 | 50 | 70 | 27 | 1,850,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 98 | 39 | 87 | 65 | 70 | 77 | 87 | 64 | 53 | 67 | 66 | 86 | 64 | 77 | 73 | 36 | 50 | 69 | 27 | 3,500,000$/6yrs | |||
![]() | 0 | RW | 100.00 | 61 | 39 | 88 | 76 | 70 | 83 | 78 | 75 | 52 | 77 | 74 | 63 | 76 | 78 | 72 | 66 | 50 | 69 | 29 | 5,500,000$/5yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 61 | 47 | 77 | 80 | 78 | 81 | 74 | 76 | 64 | 71 | 69 | 57 | 73 | 71 | 68 | 56 | 50 | 67 | 25 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 39 | 89 | 65 | 72 | 73 | 88 | 63 | 76 | 62 | 60 | 85 | 58 | 79 | 71 | 47 | 50 | 67 | 30 | 1,200,000$/2yrs | |||
![]() | 0 | C | 100.00 | 91 | 48 | 67 | 66 | 71 | 77 | 67 | 64 | 83 | 56 | 70 | 89 | 65 | 77 | 71 | 53 | 50 | 67 | 28 | 3,350,000$/2yrs | |||
![]() | 0 | C | 100.00 | 79 | 42 | 74 | 67 | 86 | 81 | 85 | 65 | 80 | 62 | 66 | 75 | 67 | 71 | 69 | 81 | 50 | 67 | 25 | 2,200,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 97 | 41 | 75 | 63 | 76 | 74 | 66 | 61 | 53 | 59 | 59 | 89 | 60 | 82 | 73 | 39 | 50 | 66 | 31 | 3,500,000$/3yrs | |||
![]() | 0 | D | 98.00 | 63 | 44 | 82 | 69 | 80 | 87 | 70 | 68 | 30 | 74 | 54 | 90 | 52 | 79 | 77 | 66 | 50 | 72 | 30 | 6,750,000$/6yrs | |||
![]() | 0 | D | 100.00 | 86 | 42 | 77 | 62 | 87 | 89 | 64 | 61 | 30 | 73 | 55 | 90 | 49 | 71 | 66 | 63 | 50 | 71 | 25 | 1,600,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 40 | 77 | 74 | 75 | 85 | 89 | 73 | 30 | 79 | 69 | 67 | 56 | 79 | 71 | 65 | 50 | 70 | 30 | 1,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 46 | 74 | 64 | 88 | 84 | 87 | 63 | 30 | 74 | 55 | 78 | 51 | 75 | 68 | 57 | 50 | 70 | 27 | 675,000$/1yrs | |||
![]() | 0 | D | 100.00 | 92 | 47 | 74 | 63 | 79 | 78 | 70 | 62 | 30 | 71 | 50 | 81 | 46 | 78 | 67 | 39 | 50 | 69 | 29 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 43 | 88 | 63 | 77 | 83 | 87 | 62 | 30 | 68 | 50 | 76 | 47 | 78 | 68 | 42 | 50 | 68 | 29 | 2,500,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 55 | 39 | 90 | 67 | 64 | 71 | 76 | 66 | 75 | 65 | 61 | 59 | 66 | 69 | 65 | 71 | 66 | 62 | 24 | 775,000$/2yrs | |||
![]() | 0 | C | 100.00 | 65 | 45 | 90 | 60 | 85 | 79 | 73 | 58 | 66 | 61 | 59 | 61 | 58 | 69 | 65 | 52 | 63 | 61 | 24 | 874,125$/1yrs | |||
![]() | 0 | RW | 100.00 | 61 | 43 | 89 | 63 | 75 | 72 | 71 | 62 | 57 | 61 | 60 | 64 | 63 | 71 | 66 | 53 | 50 | 61 | 25 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 40 | 87 | 58 | 75 | 78 | 60 | 56 | 30 | 55 | 55 | 67 | 48 | 79 | 71 | 59 | 50 | 63 | 29 | 800,000$/1yrs | |||
TEAM AVERAGE | 99.86 | 76 | 42 | 82 | 68 | 78 | 81 | 79 | 67 | 55 | 68 | 65 | 75 | 63 | 77 | 72 | 53 | 51 | 68 |
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 | 87 | 95 | 93 | 71 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 80 | 86 | 52 | 50 | 82 | 31 | 3,000,000$/2yrs |
![]() | 0 | 98.00 | 86 | 93 | 91 | 84 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 78 | 84 | 56 | 50 | 82 | 29 | 5,750,000$/5yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 87 | 94 | 92 | 78 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 79 | 85 | 54 | 50 | 82 |
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 | 55 | 44 | 88 | 61 | 70 | 84 | 83 | 59 | 74 | 62 | 55 | 56 | 61 | 75 | 68 | 57 | 20 | 60 | 27 | 737,500$/2yrs | |||
![]() | 0 | LW | 100.00 | 56 | 43 | 88 | 56 | 67 | 78 | 73 | 54 | 51 | 57 | 60 | 57 | 54 | 63 | 62 | 57 | 60 | 57 | 21 | 880,333$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 46 | 86 | 60 | 81 | 79 | 69 | 59 | 30 | 62 | 58 | 61 | 47 | 78 | 68 | 51 | 20 | 62 | 29 | 1,375,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 49 | 83 | 62 | 80 | 82 | 77 | 60 | 30 | 58 | 59 | 61 | 52 | 71 | 66 | 58 | 20 | 62 | 25 | 700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 52 | 69 | 60 | 81 | 84 | 78 | 59 | 30 | 58 | 57 | 61 | 49 | 71 | 66 | 53 | 60 | 62 | 24 | 675,000$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Yes Martel |
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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 | Alex Ovechkin | 0 | LW | 44 | 19 | 25 | 44 | 5 | 20 | 0 | 62 | 221 | 65 | 144 | 8.60% | 12 | 20.39 | 9 | 10 | 19 | 128 | 0 | 0 | 0 | 0 | 5 | 1 | 43.94% | 66 | 68 | 14 | 0 | 0 | 0.98 | 5 | 13 | ||
2 | Anze Kopitar | 0 | C | 44 | 13 | 26 | 39 | 5 | 7 | 5 | 48 | 160 | 41 | 99 | 8.13% | 31 | 22.25 | 4 | 13 | 17 | 128 | 0 | 0 | 0 | 84 | 3 | 0 | 54.95% | 1354 | 32 | 24 | 0 | 0 | 0.80 | 5 | 14 | ||
3 | Andreas Athanasiou | 0 | C/LW/RW | 44 | 12 | 19 | 31 | 5 | 10 | 0 | 46 | 96 | 32 | 61 | 12.50% | 7 | 14.40 | 6 | 8 | 14 | 107 | 0 | 0 | 0 | 30 | 0 | 4 | 37.50% | 32 | 23 | 3 | 0 | 0 | 0.98 | 0 | 1 | ||
4 | Joe Pavelski | 0 | C | 44 | 14 | 15 | 29 | -5 | 12 | 0 | 94 | 137 | 38 | 74 | 10.22% | 14 | 18.65 | 3 | 8 | 11 | 99 | 0 | 0 | 0 | 34 | 2 | 3 | 51.69% | 652 | 15 | 11 | 0 | 1 | 0.71 | 1 | 1 | ||
5 | Jordan Eberle | 0 | RW | 44 | 14 | 13 | 27 | -8 | 8 | 0 | 43 | 129 | 38 | 76 | 10.85% | 12 | 17.25 | 7 | 6 | 13 | 99 | 0 | 0 | 0 | 3 | 1 | 2 | 35.14% | 37 | 28 | 8 | 0 | 0 | 0.71 | 3 | 9 | ||
6 | Alex Killorn | 0 | LW | 44 | 8 | 12 | 20 | -4 | 18 | 0 | 51 | 89 | 36 | 62 | 8.99% | 22 | 18.11 | 4 | 4 | 8 | 118 | 0 | 0 | 0 | 7 | 2 | 1 | 58.62% | 29 | 25 | 17 | 0 | 0 | 0.50 | 1 | 4 | ||
7 | Kevin Shattenkirk | 0 | D | 44 | 2 | 17 | 19 | -1 | 28 | 0 | 38 | 42 | 24 | 19 | 4.76% | 28 | 19.50 | 1 | 8 | 9 | 143 | 0 | 0 | 0 | 28 | 2 | 0 | 0.00% | 0 | 28 | 20 | 0 | 0 | 0.44 | 0 | 0 | ||
8 | Ryan McDonagh | 0 | D | 44 | 2 | 13 | 15 | 10 | 14 | 0 | 31 | 56 | 15 | 23 | 3.57% | 56 | 24.66 | 2 | 1 | 3 | 34 | 0 | 0 | 0 | 141 | 0 | 0 | 0.00% | 0 | 12 | 42 | 0 | 0 | 0.28 | 0 | 0 | ||
9 | Colton Sceviour | 0 | C/LW/RW | 44 | 7 | 5 | 12 | 5 | 2 | 0 | 35 | 41 | 7 | 17 | 17.07% | 14 | 10.05 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 87 | 0 | 2 | 43.16% | 190 | 8 | 12 | 0 | 0 | 0.54 | 0 | 0 | ||
10 | Casey Cizikas | 0 | C | 44 | 6 | 6 | 12 | 11 | 28 | 0 | 54 | 44 | 17 | 21 | 13.64% | 22 | 13.15 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 90 | 1 | 1 | 52.38% | 357 | 7 | 8 | 0 | 0 | 0.41 | 0 | 0 | ||
11 | Jesper Fast | 0 | RW | 44 | 6 | 5 | 11 | 0 | 6 | 0 | 35 | 91 | 21 | 57 | 6.59% | 14 | 12.60 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 97 | 1 | 0 | 50.00% | 18 | 14 | 5 | 1 | 0 | 0.40 | 1 | 1 | ||
12 | Brandon Tanev | 0 | LW | 44 | 6 | 4 | 10 | -1 | 4 | 0 | 44 | 70 | 17 | 35 | 8.57% | 11 | 12.73 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 94 | 0 | 0 | 33.33% | 9 | 10 | 16 | 1 | 0 | 0.36 | 0 | 0 | ||
13 | Adam Pelech | 0 | D | 44 | 0 | 7 | 7 | 12 | 48 | 10 | 51 | 34 | 15 | 18 | 0.00% | 64 | 23.56 | 0 | 0 | 0 | 7 | 0 | 1 | 1 | 122 | 0 | 0 | 0.00% | 0 | 10 | 49 | 0 | 0 | 0.14 | 0 | 0 | ||
14 | Anthony Bitetto | 0 | D | 44 | 2 | 4 | 6 | 17 | 20 | 0 | 55 | 24 | 14 | 11 | 8.33% | 40 | 19.10 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 129 | 0 | 1 | 0.00% | 0 | 7 | 44 | 0 | 0 | 0.14 | 1 | 1 | ||
15 | Nick Jensen | 0 | D | 44 | 0 | 6 | 6 | -3 | 8 | 0 | 21 | 19 | 10 | 3 | 0.00% | 38 | 16.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 85 | 0 | 0 | 0.00% | 0 | 3 | 24 | 0 | 0 | 0.17 | 0 | 0 | ||
16 | Radek Faksa | 0 | C | 44 | 3 | 3 | 6 | -1 | 8 | 0 | 41 | 44 | 16 | 23 | 6.82% | 8 | 8.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 47.62% | 105 | 13 | 4 | 0 | 0 | 0.31 | 0 | 0 | ||
17 | Cal Clutterbuck | 0 | RW | 44 | 2 | 3 | 5 | 5 | 12 | 0 | 39 | 35 | 14 | 20 | 5.71% | 12 | 10.64 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 84 | 0 | 0 | 57.14% | 14 | 11 | 13 | 0 | 0 | 0.21 | 0 | 0 | ||
18 | Justin Holl | 0 | D | 44 | 0 | 4 | 4 | -2 | 49 | 5 | 57 | 32 | 10 | 14 | 0.00% | 52 | 21.36 | 0 | 0 | 0 | 86 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 8 | 29 | 0 | 0 | 0.09 | 0 | 0 | ||
19 | Cody Goloubef | 0 | D | 35 | 0 | 3 | 3 | -3 | 4 | 0 | 19 | 10 | 4 | 6 | 0.00% | 25 | 12.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 13 | 0 | 0 | 0.13 | 0 | 0 | ||
Team Total or Average | 827 | 116 | 190 | 306 | 47 | 306 | 20 | 864 | 1374 | 434 | 783 | 8.44% | 482 | 16.69 | 36 | 58 | 94 | 982 | 2 | 3 | 5 | 1197 | 18 | 15 | 52.08% | 2863 | 322 | 356 | 2 | 1 | 0.44 | 17 | 44 |
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 | Jonathan Bernier | 28 | 19 | 5 | 3 | 0.934 | 1.89 | 1687 | 0 | 2 | 53 | 803 | 378 | 4 | 0 | 0.750 | 40 | 27 | 17 | 3 | 5 | 3 | |
2 | Martin Jones | 18 | 9 | 6 | 2 | 0.912 | 2.42 | 1017 | 0 | 0 | 41 | 465 | 219 | 1 | 1 | 0.833 | 6 | 17 | 27 | 1 | 0 | 4 | |
Team Total or Average | 46 | 28 | 11 | 5 | 0.926 | 2.09 | 2704 | 0 | 2 | 94 | 1268 | 597 | 5 | 1 | 0.761 | 46 | 44 | 44 | 4 | 5 | 7 |
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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 32 | 9 | 14 | 9 | 0 | 31 | 8 | 2 | 19 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 13 | 22 | 7 | 15 | 8 | 33.3% | 3.1% | 93.5% | 96.7 | DULL | |
2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 3 | 2 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 3 | 0 | 70 | 14 | 31 | 25 | 4 | 53 | 23 | 16 | 38 | 9 | 3 | 33.33% | 9 | 1 | 88.89% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 45 | 24 | 42 | 19 | 37 | 19 | 50.0% | 7.1% | 94.3% | 101.5 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 1 | 36 | 7 | 12 | 15 | 5 | 25 | 14 | 6 | 17 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 12 | 21 | 11 | 20 | 9 | 60.0% | 8.3% | 92.0% | 100.3 | DULL | |
4 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 1 | 1 | 1 | 2 | 55 | 19 | 20 | 15 | 5 | 57 | 14 | 14 | 48 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 46 | 26 | 39 | 19 | 38 | 19 | 50.0% | 7.3% | 93.0% | 100.3 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 32 | 14 | 9 | 9 | 0 | 34 | 12 | 10 | 17 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 14 | 20 | 8 | 16 | 7 | 42.9% | 9.4% | 85.3% | 94.7 | FUN | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 55 | 12 | 20 | 23 | 0 | 65 | 23 | 14 | 31 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 1 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 40 | 22 | 44 | 18 | 34 | 16 | 62.5% | 9.1% | 92.3% | 101.4 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 35 | 6 | 17 | 12 | 0 | 32 | 15 | 4 | 20 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 12 | 19 | 9 | 17 | 9 | 66.7% | 14.3% | 90.6% | 104.9 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 3 | 0 | 32 | 8 | 14 | 10 | 0 | 34 | 5 | 4 | 15 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 12 | 20 | 8 | 17 | 9 | 33.3% | 9.4% | 94.1% | 103.5 | LUCKY | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 31 | 10 | 13 | 8 | 0 | 25 | 12 | 0 | 17 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 20 | 11 | 20 | 8 | 18 | 9 | 20.0% | 3.2% | 84.0% | 87.2 | Unlucky | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 0.500 | 7 | 9 | 16 | 0 | 0 | 4 | 0 | 3 | 0 | 57 | 20 | 16 | 21 | 0 | 63 | 17 | 12 | 51 | 7 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 42 | 23 | 42 | 18 | 35 | 17 | 77.8% | 12.3% | 93.7% | 105.9 | LUCKY | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 0 | 4 | 2 | 0 | 66 | 17 | 23 | 26 | 0 | 53 | 20 | 21 | 38 | 3 | 4 | 133.33% | 10 | 1 | 90.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 41 | 23 | 41 | 19 | 37 | 17 | 33.3% | 9.1% | 90.6% | 99.7 | FUN | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 3 | 28 | 13 | 3 | 12 | 9 | 28 | 15 | 4 | 22 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 23 | 13 | 20 | 9 | 20 | 10 | 0.0% | 7.1% | 89.3% | 96.4 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 6 | 10 | 0 | 1 | 1 | 1 | 2 | 0 | 33 | 12 | 7 | 14 | 0 | 22 | 19 | 2 | 12 | 7 | 3 | 42.86% | 1 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 23 | 13 | 20 | 10 | 16 | 8 | 100.0% | 12.1% | 100.0% | 112.1 | LUCKY | |
14 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.667 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 89 | 29 | 33 | 27 | 0 | 85 | 37 | 46 | 59 | 8 | 2 | 25.00% | 13 | 3 | 76.92% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 61 | 34 | 62 | 26 | 55 | 28 | 50.0% | 6.7% | 91.8% | 98.5 | DULL | |
15 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 7 | 14 | 0 | 0 | 1 | 2 | 3 | 1 | 65 | 25 | 21 | 18 | 3 | 57 | 19 | 12 | 39 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 45 | 25 | 40 | 19 | 38 | 19 | 62.5% | 10.8% | 93.0% | 103.8 | LUCKY | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 75 | 19 | 25 | 31 | 0 | 56 | 16 | 4 | 33 | 8 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 46 | 26 | 35 | 17 | 37 | 20 | 66.7% | 5.3% | 92.9% | 98.2 | DULL | |
17 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 2 | 1 | 59 | 19 | 23 | 17 | 5 | 72 | 20 | 20 | 38 | 5 | 1 | 20.00% | 10 | 1 | 90.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 45 | 26 | 45 | 20 | 38 | 18 | 50.0% | 8.5% | 93.1% | 101.5 | DULL | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 2 | 38 | 10 | 16 | 11 | 3 | 36 | 9 | 12 | 22 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 23 | 13 | 22 | 9 | 19 | 9 | 75.0% | 7.9% | 94.4% | 102.3 | DULL | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 35 | 11 | 13 | 11 | 0 | 33 | 13 | 6 | 17 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 20 | 12 | 21 | 8 | 18 | 9 | 40.0% | 14.3% | 81.8% | 96.1 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 26 | 8 | 9 | 9 | 0 | 25 | 7 | 29 | 19 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 23 | 13 | 19 | 8 | 16 | 8 | 100.0% | 19.2% | 96.0% | 115.2 | LUCKY | |
21 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 1 | 1 | 27 | 7 | 9 | 8 | 6 | 27 | 7 | 6 | 26 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 12 | 21 | 9 | 20 | 10 | 50.0% | 11.1% | 92.6% | 103.7 | LUCKY | |
22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 8 | 12 | 7 | 3 | 22 | 11 | 6 | 19 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 19 | 9 | 24 | 10 | 20 | 10 | 0.0% | 3.7% | 90.9% | 94.6 | Unlucky | |
23 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 11 | 5 | 6 | 6 | 1.000 | 11 | 17 | 28 | 0 | 0 | 0 | 6 | 3 | 3 | 103 | 32 | 44 | 24 | 6 | 73 | 22 | 10 | 60 | 11 | 3 | 27.27% | 5 | 1 | 80.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 73 | 42 | 55 | 26 | 55 | 29 | 66.7% | 10.7% | 93.2% | 103.8 | LUCKY | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 1 | 2 | 3 | 3 | 65 | 31 | 12 | 19 | 6 | 72 | 13 | 16 | 34 | 3 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 41 | 23 | 46 | 18 | 36 | 18 | 70.0% | 10.8% | 93.1% | 103.8 | LUCKY | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 1 | 1 | 0 | 2 | 3 | 0 | 57 | 17 | 19 | 21 | 0 | 60 | 13 | 17 | 31 | 11 | 3 | 27.27% | 6 | 1 | 83.33% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 41 | 22 | 42 | 19 | 36 | 19 | 28.6% | 8.8% | 90.0% | 98.8 | Unlucky | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 26 | 7 | 8 | 11 | 0 | 31 | 14 | 12 | 14 | 4 | 3 | 75.00% | 6 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 17 | 9 | 25 | 9 | 17 | 7 | 50.0% | 15.4% | 96.8% | 112.2 | LUCKY | |
27 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 7 | 5 | 6 | 0.750 | 12 | 20 | 32 | 0 | 0 | 0 | 4 | 7 | 1 | 129 | 46 | 32 | 46 | 7 | 98 | 36 | 20 | 75 | 13 | 4 | 30.77% | 10 | 1 | 90.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 88 | 51 | 81 | 38 | 74 | 35 | 57.1% | 9.3% | 92.9% | 102.2 | LUCKY | |
_Vs Division | 16 | 7 | 4 | 0 | 1 | 0 | 3 | 1 | 46 | 29 | 17 | 23 | 0.719 | 46 | 75 | 121 | 0 | 0 | 3 | 21 | 18 | 6 | 524 | 154 | 183 | 178 | 22 | 421 | 145 | 97 | 306 | 52 | 18 | 34.62% | 49 | 7 | 85.71% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 360 | 204 | 321 | 150 | 298 | 149 | 56.0% | 8.8% | 93.1% | 101.9 | DULL | |
_Vs Conference | 25 | 12 | 5 | 0 | 1 | 0 | 6 | 1 | 72 | 49 | 23 | 39 | 0.780 | 72 | 110 | 182 | 0 | 0 | 7 | 28 | 30 | 11 | 802 | 254 | 272 | 260 | 37 | 696 | 226 | 181 | 479 | 78 | 25 | 32.05% | 81 | 13 | 83.95% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 554 | 313 | 513 | 233 | 466 | 235 | 56.6% | 9.0% | 93.0% | 101.9 | LUCKY | |
_Since Last GM Reset | 44 | 18 | 11 | 0 | 1 | 1 | 9 | 4 | 127 | 99 | 28 | 61 | 0.693 | 127 | 195 | 322 | 1 | 2 | 23 | 41 | 53 | 18 | 1383 | 430 | 475 | 459 | 62 | 1269 | 434 | 325 | 831 | 143 | 37 | 25.87% | 143 | 23 | 83.92% | 1 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 969 | 549 | 922 | 414 | 814 | 408 | 54.2% | 9.2% | 92.2% | 101.4 | LUCKY | |
Total | 44 | 18 | 11 | 0 | 1 | 1 | 9 | 4 | 127 | 99 | 28 | 61 | 0.693 | 127 | 195 | 322 | 1 | 2 | 23 | 41 | 53 | 18 | 1383 | 430 | 475 | 459 | 62 | 1269 | 434 | 325 | 831 | 143 | 37 | 25.87% | 143 | 23 | 83.92% | 1 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 969 | 549 | 922 | 414 | 814 | 408 | 54.2% | 9.2% | 92.2% | 101.4 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1047 |
Neutral Zone Start | 586 |
Defensive Zone Start | 975 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1353 |
Faceoffs Lost | 1255 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 31.0 | 30.68 |
Overtime | 32.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 88 |
---|---|
PP Goal | 37 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 18 | 10 |
Lost | 5 | 6 |
Overtime Lost | 0 | 5 |
PP Attempt | 143 |
---|---|
PP Goal | 37 |
PK Attempt | 143 |
PK Goal Against | 23 |
Home | |
---|---|
Shots For | 31.4 |
Shots Against | 28.8 |
Goals For | 2.9 |
Goals Against | 2.3 |
Hits | 18.9 |
Shots Blocked | 9.9 |
Pim | 7.4 |
Projected Total Cap Hit | 80,962,585$ |
Projected Cap Space | 537,415$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 41,685,996$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Sharks Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Alex Killorn ![]() | LW | 30 | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | |||||
Alex Ovechkin ![]() | LW | 34 | 9,538,460$ | 9,538,460$ | 9,538,460$ | ||||||
Andreas Athanasiou ![]() | C/LW/RW | 25 | 3,000,000$ | 3,000,000$ | |||||||
Anthony Bitetto ![]() | D | 29 | 700,000$ | 700,000$ | |||||||
Anze Kopitar ![]() | C | 32 | 10,000,000$ | 10,000,000$ | 10,000,000$ | ||||||
Brandon Tanev ![]() | LW | 27 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||
Cal Clutterbuck ![]() | RW | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Casey Cizikas ![]() | C | 28 | 3,350,000$ | 3,350,000$ | 3,350,000$ | ||||||
Cody Goloubef ![]() | D | 29 | 800,000$ | 800,000$ | |||||||
Colton Sceviour ![]() | C/LW/RW | 30 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Jesper Fast ![]() | RW | 27 | 1,850,000$ | 1,850,000$ | |||||||
Joe Pavelski ![]() | C | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |||||
Jonathan Bernier ![]() | G | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Jordan Eberle ![]() | RW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||
Justin Holl ![]() | D | 27 | 675,000$ | 675,000$ | |||||||
Kevin Shattenkirk ![]() | D | 30 | 1,750,000$ | 1,750,000$ | |||||||
Martin Jones ![]() | G | 29 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | |||
Nic Petan ![]() | C | 24 | 775,000$ | 775,000$ | 775,000$ | ||||||
Nick Jensen ![]() | D | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||
Nico Sturm ![]() | C | 24 | 874,125$ | 874,125$ | |||||||
Radek Faksa ![]() | C | 25 | 2,200,000$ | 2,200,000$ | |||||||
Riley Barber ![]() | RW | 25 | 700,000$ | 700,000$ | |||||||
Ryan McDonagh ![]() | D | 30 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ |
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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 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 32 | 9 | 14 | 9 | 0 | 31 | 8 | 2 | 19 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 13 | 22 | 7 | 15 | 8 | 33.3% | 3.1% | 93.5% | 96.7 | DULL | |
2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 3 | 2 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 3 | 0 | 70 | 14 | 31 | 25 | 4 | 53 | 23 | 16 | 38 | 9 | 3 | 33.33% | 9 | 1 | 88.89% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 45 | 24 | 42 | 19 | 37 | 19 | 50.0% | 7.1% | 94.3% | 101.5 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 1 | 36 | 7 | 12 | 15 | 5 | 25 | 14 | 6 | 17 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 12 | 21 | 11 | 20 | 9 | 60.0% | 8.3% | 92.0% | 100.3 | DULL | |
4 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 1 | 1 | 1 | 2 | 55 | 19 | 20 | 15 | 5 | 57 | 14 | 14 | 48 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 46 | 26 | 39 | 19 | 38 | 19 | 50.0% | 7.3% | 93.0% | 100.3 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 32 | 14 | 9 | 9 | 0 | 34 | 12 | 10 | 17 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 14 | 20 | 8 | 16 | 7 | 42.9% | 9.4% | 85.3% | 94.7 | FUN | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 55 | 12 | 20 | 23 | 0 | 65 | 23 | 14 | 31 | 5 | 0 | 0.00% | 7 | 2 | 71.43% | 1 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 40 | 22 | 44 | 18 | 34 | 16 | 62.5% | 9.1% | 92.3% | 101.4 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 35 | 6 | 17 | 12 | 0 | 32 | 15 | 4 | 20 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 12 | 19 | 9 | 17 | 9 | 66.7% | 14.3% | 90.6% | 104.9 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 3 | 0 | 32 | 8 | 14 | 10 | 0 | 34 | 5 | 4 | 15 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 12 | 20 | 8 | 17 | 9 | 33.3% | 9.4% | 94.1% | 103.5 | LUCKY | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 31 | 10 | 13 | 8 | 0 | 25 | 12 | 0 | 17 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 20 | 11 | 20 | 8 | 18 | 9 | 20.0% | 3.2% | 84.0% | 87.2 | Unlucky | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 0.500 | 7 | 9 | 16 | 0 | 0 | 4 | 0 | 3 | 0 | 57 | 20 | 16 | 21 | 0 | 63 | 17 | 12 | 51 | 7 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 42 | 23 | 42 | 18 | 35 | 17 | 77.8% | 12.3% | 93.7% | 105.9 | LUCKY | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 0 | 4 | 2 | 0 | 66 | 17 | 23 | 26 | 0 | 53 | 20 | 21 | 38 | 3 | 4 | 133.33% | 10 | 1 | 90.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 41 | 23 | 41 | 19 | 37 | 17 | 33.3% | 9.1% | 90.6% | 99.7 | FUN | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 3 | 28 | 13 | 3 | 12 | 9 | 28 | 15 | 4 | 22 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 23 | 13 | 20 | 9 | 20 | 10 | 0.0% | 7.1% | 89.3% | 96.4 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 6 | 10 | 0 | 1 | 1 | 1 | 2 | 0 | 33 | 12 | 7 | 14 | 0 | 22 | 19 | 2 | 12 | 7 | 3 | 42.86% | 1 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 23 | 13 | 20 | 10 | 16 | 8 | 100.0% | 12.1% | 100.0% | 112.1 | LUCKY | |
14 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.667 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 89 | 29 | 33 | 27 | 0 | 85 | 37 | 46 | 59 | 8 | 2 | 25.00% | 13 | 3 | 76.92% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 61 | 34 | 62 | 26 | 55 | 28 | 50.0% | 6.7% | 91.8% | 98.5 | DULL | |
15 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 7 | 14 | 0 | 0 | 1 | 2 | 3 | 1 | 65 | 25 | 21 | 18 | 3 | 57 | 19 | 12 | 39 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 45 | 25 | 40 | 19 | 38 | 19 | 62.5% | 10.8% | 93.0% | 103.8 | LUCKY | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 75 | 19 | 25 | 31 | 0 | 56 | 16 | 4 | 33 | 8 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 46 | 26 | 35 | 17 | 37 | 20 | 66.7% | 5.3% | 92.9% | 98.2 | DULL | |
17 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 2 | 1 | 59 | 19 | 23 | 17 | 5 | 72 | 20 | 20 | 38 | 5 | 1 | 20.00% | 10 | 1 | 90.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 45 | 26 | 45 | 20 | 38 | 18 | 50.0% | 8.5% | 93.1% | 101.5 | DULL | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 2 | 38 | 10 | 16 | 11 | 3 | 36 | 9 | 12 | 22 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 23 | 13 | 22 | 9 | 19 | 9 | 75.0% | 7.9% | 94.4% | 102.3 | DULL | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 35 | 11 | 13 | 11 | 0 | 33 | 13 | 6 | 17 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 20 | 12 | 21 | 8 | 18 | 9 | 40.0% | 14.3% | 81.8% | 96.1 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 26 | 8 | 9 | 9 | 0 | 25 | 7 | 29 | 19 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 23 | 13 | 19 | 8 | 16 | 8 | 100.0% | 19.2% | 96.0% | 115.2 | LUCKY | |
21 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 1 | 1 | 27 | 7 | 9 | 8 | 6 | 27 | 7 | 6 | 26 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 22 | 12 | 21 | 9 | 20 | 10 | 50.0% | 11.1% | 92.6% | 103.7 | LUCKY | |
22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 8 | 12 | 7 | 3 | 22 | 11 | 6 | 19 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 19 | 9 | 24 | 10 | 20 | 10 | 0.0% | 3.7% | 90.9% | 94.6 | Unlucky | |
23 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 11 | 5 | 6 | 6 | 1.000 | 11 | 17 | 28 | 0 | 0 | 0 | 6 | 3 | 3 | 103 | 32 | 44 | 24 | 6 | 73 | 22 | 10 | 60 | 11 | 3 | 27.27% | 5 | 1 | 80.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 73 | 42 | 55 | 26 | 55 | 29 | 66.7% | 10.7% | 93.2% | 103.8 | LUCKY | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 1 | 2 | 3 | 3 | 65 | 31 | 12 | 19 | 6 | 72 | 13 | 16 | 34 | 3 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 41 | 23 | 46 | 18 | 36 | 18 | 70.0% | 10.8% | 93.1% | 103.8 | LUCKY | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 1 | 1 | 0 | 2 | 3 | 0 | 57 | 17 | 19 | 21 | 0 | 60 | 13 | 17 | 31 | 11 | 3 | 27.27% | 6 | 1 | 83.33% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 41 | 22 | 42 | 19 | 36 | 19 | 28.6% | 8.8% | 90.0% | 98.8 | Unlucky | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 26 | 7 | 8 | 11 | 0 | 31 | 14 | 12 | 14 | 4 | 3 | 75.00% | 6 | 0 | 100.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 17 | 9 | 25 | 9 | 17 | 7 | 50.0% | 15.4% | 96.8% | 112.2 | LUCKY | |
27 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 7 | 5 | 6 | 0.750 | 12 | 20 | 32 | 0 | 0 | 0 | 4 | 7 | 1 | 129 | 46 | 32 | 46 | 7 | 98 | 36 | 20 | 75 | 13 | 4 | 30.77% | 10 | 1 | 90.00% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 88 | 51 | 81 | 38 | 74 | 35 | 57.1% | 9.3% | 92.9% | 102.2 | LUCKY | |
_Vs Division | 16 | 7 | 4 | 0 | 1 | 0 | 3 | 1 | 46 | 29 | 17 | 23 | 0.719 | 46 | 75 | 121 | 0 | 0 | 3 | 21 | 18 | 6 | 524 | 154 | 183 | 178 | 22 | 421 | 145 | 97 | 306 | 52 | 18 | 34.62% | 49 | 7 | 85.71% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 360 | 204 | 321 | 150 | 298 | 149 | 56.0% | 8.8% | 93.1% | 101.9 | DULL | |
_Vs Conference | 25 | 12 | 5 | 0 | 1 | 0 | 6 | 1 | 72 | 49 | 23 | 39 | 0.780 | 72 | 110 | 182 | 0 | 0 | 7 | 28 | 30 | 11 | 802 | 254 | 272 | 260 | 37 | 696 | 226 | 181 | 479 | 78 | 25 | 32.05% | 81 | 13 | 83.95% | 0 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 554 | 313 | 513 | 233 | 466 | 235 | 56.6% | 9.0% | 93.0% | 101.9 | LUCKY | |
_Since Last GM Reset | 44 | 18 | 11 | 0 | 1 | 1 | 9 | 4 | 127 | 99 | 28 | 61 | 0.693 | 127 | 195 | 322 | 1 | 2 | 23 | 41 | 53 | 18 | 1383 | 430 | 475 | 459 | 62 | 1269 | 434 | 325 | 831 | 143 | 37 | 25.87% | 143 | 23 | 83.92% | 1 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 969 | 549 | 922 | 414 | 814 | 408 | 54.2% | 9.2% | 92.2% | 101.4 | LUCKY | |
Total | 44 | 18 | 11 | 0 | 1 | 1 | 9 | 4 | 127 | 99 | 28 | 61 | 0.693 | 127 | 195 | 322 | 1 | 2 | 23 | 41 | 53 | 18 | 1383 | 430 | 475 | 459 | 62 | 1269 | 434 | 325 | 831 | 143 | 37 | 25.87% | 143 | 23 | 83.92% | 1 | 575 | 1047 | 54.92% | 480 | 975 | 49.23% | 298 | 586 | 50.85% | 969 | 549 | 922 | 414 | 814 | 408 | 54.2% | 9.2% | 92.2% | 101.4 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1047 |
Neutral Zone Start | 586 |
Defensive Zone Start | 975 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1353 |
Faceoffs Lost | 1255 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 31.0 | 30.68 |
Overtime | 32.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 88 |
---|---|
PP Goal | 37 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 18 | 10 |
Lost | 5 | 6 |
Overtime Lost | 0 | 5 |
PP Attempt | 143 |
---|---|
PP Goal | 37 |
PK Attempt | 143 |
PK Goal Against | 23 |
Home | |
---|---|
Shots For | 31.4 |
Shots Against | 28.8 |
Goals For | 2.9 |
Goals Against | 2.3 |
Hits | 18.9 |
Shots Blocked | 9.9 |
Pim | 7.4 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-24 | @ | Sharks2,Golden Knights3 | RECAP | ||
2020-10-26 | @ | Golden Knights2,Sharks4 | RECAP | ||
2020-10-27 | @ | Sharks4,Ducks1 | RECAP | ||
2020-10-30 | @ | Sharks1,Predators5 | RECAP | ||
2020-11-01 | @ | Sharks3,Blackhawks2 | RECAP | ||
2020-11-04 | @ | Flames1,Sharks4 | RECAP | ||
2020-11-07 | @ | Hurricanes0,Sharks1 | RECAP | ||
2020-11-10 | @ | Sabres2,Sharks3 (SO) | RECAP | ||
2020-11-13 | @ | Sharks2,Sabres3 (SO) | RECAP | ||
2020-11-15 | @ | Sharks3,Canadiens2 (SO) | RECAP | ||
2020-11-16 | @ | Sharks2,Maple Leafs3 (SO) | RECAP | ||
2020-11-18 | @ | Sharks1,Senators2 (SO) | RECAP | ||
2020-11-20 | @ | Sharks1,Bruins2 (OT) | RECAP | ||
2020-11-23 | @ | Jets2,Sharks3 (SO) | RECAP | ||
2020-11-24 | @ | Canucks3,Sharks1 | RECAP | ||
2020-11-27 | @ | Blackhawks3,Sharks4 (SO) | RECAP | ||
2020-11-29 | @ | Wild2,Sharks3 (SO) | RECAP | ||
2020-12-01 | @ | Predators1,Sharks3 | RECAP | ||
2020-12-04 | @ | Oilers3,Sharks1 | RECAP | ||
2020-12-06 | @ | Sharks1,Ducks2 (SO) | RECAP | ||
2020-12-08 | @ | Red Wings3,Sharks1 | RECAP | ||
2020-12-11 | @ | Oilers1,Sharks3 | RECAP | ||
2020-12-13 | @ | Sharks4,Golden Knights1 | RECAP | ||
2020-12-15 | @ | Islanders5,Sharks3 | RECAP | ||
2020-12-17 | @ | Sharks4,Kings3 (SO) | RECAP | ||
2020-12-19 | @ | Jets2,Sharks4 | RECAP | ||
2020-12-21 | @ | Kings1,Sharks2 (OT) | RECAP | ||
2020-12-22 | @ | Sharks1,Coyotes2 | RECAP | ||
2020-12-25 | @ | Capitals3,Sharks1 | RECAP | ||
2020-12-27 | @ | Sharks4,Hurricanes6 | RECAP | ||
2020-12-29 | @ | Sharks1,Lightning4 | RECAP | ||
2020-12-30 | @ | Sharks5,Panthers1 | RECAP | ||
2021-01-01 | @ | Sharks2,Predators1 | RECAP | ||
2021-01-03 | @ | Rangers2,Sharks3 (SO) | RECAP | ||
2021-01-05 | @ | Canucks2,Sharks5 | RECAP | ||
2021-01-08 | @ | Coyotes2,Sharks3 (SO) | RECAP | ||
2021-01-12 | @ | Blues2,Sharks3 | RECAP | ||
2021-01-13 | @ | Golden Knights1,Sharks2 (SO) | RECAP | ||
2021-01-18 | @ | Kings1,Sharks5 | RECAP | ||
2021-01-19 | @ | Flyers3,Sharks5 | RECAP | ||
2021-01-22 | @ | Sharks4,Red Wings2 | RECAP | ||
2021-01-24 | @ | Sharks4,Penguins0 | RECAP | ||
2021-01-26 | @ | Sharks5,Blue Jackets6 | RECAP | ||
2021-01-27 | @ | Sharks6,Capitals1 | RECAP | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,962,585$ | 0$ | 80,962,585$ | 537,415$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | HP Pavilion | |
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 | 131929 | 110392 | 43977 | 86610 | 21952 |
Attendance PCT | 95.60% | 95.99% | 95.60% | 94.14% | 95.44% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
18 | 17168 - 95.38% | 618,902$ | 14,234,744$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,962,585$ | 80,962,585$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
41,685,996$ | 80,962,585$ | 41,685,996$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
11,140,234$ | 90 | 435,283$ | 39,175,470$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
39,175,470$ | 80,962,585$ | -361,331,624$ | -389,366,860$ |
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 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
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. |
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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 |
---|---|---|---|---|---|
1 ballo sj 2021 | |||||
2 ballo sj 2021 | |||||
Aku Raty | 2019 | 158 | |||
Alexander Campbell | 2019 | 51 | |||
Axel Bergkvist | 2019 | 206 | |||
Axel Rindell | 2020 | 179 | |||
Ben Brinkman | 2019 | 184 | |||
David Hrenak | 2018 | 145 | |||
Devante Smith-Pelly | Link | ||||
Griffen Molino | |||||
Ilya Soloyov | 2020 | 210 | |||
Isaak Phillips | 2020 | 142 | |||
Joe Morrow | |||||
John Ludvig | 2019 | 82 | |||
Karl Henriksson | 2019 | 80 | |||
Linus Lindstrom | 2016 | 94 | |||
Luke Green | 2016 | 64 | |||
Marshall Warren | 2019 | 175 | |||
Mason Millman | 2019 | 113 | |||
Owen Lindmark | 2019 | 153 | |||
Philip Nyberg | 2016 | 132 | |||
Quinn Schmiemann | 2019 | 189 | |||
Rhett Pitlick | 2019 | 144 | |||
Wade Allison | 2016 | 57 | |||
Wyatt Schingoethe | 2020 | 197 | |||
Zachary Bouthillier | 2018 | 207 |
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