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San Jose Sharks 6-5-0, 12pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 62 | 35 | 83 | 75 | 77 | 87 | 72 | 76 | 80 | 74 | 71 | 65 | 77 | 61 | 64 | 93 | 81 | 0 | 20 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 58 | 78 | 76 | 64 | 88 | 90 | 75 | 83 | 76 | 74 | 79 | 76 | 73 | 80 | 34 | 82 | 0 | 31 | 5,166,666$/3yrs | |||
![]() | 0 | C | 100.00 | 79 | 37 | 82 | 66 | 71 | 83 | 90 | 64 | 88 | 63 | 65 | 80 | 62 | 78 | 74 | 49 | 82 | 0 | 32 | 1,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 78 | 76 | 77 | 67 | 78 | 83 | 90 | 66 | 88 | 65 | 64 | 80 | 63 | 66 | 65 | 83 | 82 | 0 | 25 | 975,000$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 39 | 86 | 62 | 78 | 77 | 81 | 58 | 83 | 61 | 59 | 80 | 56 | 85 | 79 | 21 | 79 | 0 | 38 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 56 | 34 | 81 | 77 | 72 | 86 | 83 | 74 | 65 | 72 | 76 | 61 | 78 | 81 | 72 | 69 | 82 | 0 | 30 | 9,000,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 69 | 37 | 93 | 67 | 72 | 84 | 85 | 66 | 59 | 63 | 65 | 81 | 66 | 75 | 70 | 58 | 82 | 0 | 30 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 82 | 36 | 89 | 67 | 79 | 83 | 78 | 64 | 71 | 63 | 62 | 80 | 58 | 73 | 71 | 59 | 82 | 0 | 31 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 34 | 92 | 74 | 70 | 87 | 88 | 73 | 82 | 72 | 70 | 74 | 73 | 76 | 72 | 55 | 82 | 0 | 31 | 3,050,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 55 | 37 | 88 | 74 | 83 | 87 | 89 | 76 | 84 | 73 | 75 | 65 | 77 | 66 | 67 | 86 | 82 | 0 | 26 | 3,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 62 | 34 | 90 | 84 | 69 | 92 | 88 | 85 | 66 | 92 | 83 | 84 | 89 | 68 | 74 | 85 | 81 | 0 | 25 | 10,893,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 64 | 35 | 86 | 72 | 71 | 82 | 87 | 66 | 76 | 67 | 65 | 79 | 72 | 66 | 73 | 84 | 85 | 0 | 25 | 2,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 37 | 88 | 76 | 72 | 95 | 82 | 77 | 88 | 79 | 75 | 85 | 78 | 66 | 80 | 91 | 82 | 0 | 24 | 7,250,000$/4yrs | |||
![]() | 6 | D | 100.00 | 68 | 34 | 95 | 64 | 71 | 91 | 88 | 62 | 30 | 72 | 67 | 82 | 53 | 86 | 77 | 34 | 82 | 0 | 36 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 36 | 86 | 61 | 82 | 87 | 85 | 58 | 30 | 70 | 59 | 84 | 50 | 83 | 75 | 25 | 76 | 0 | 36 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 39 | 82 | 65 | 85 | 92 | 90 | 64 | 30 | 71 | 65 | 85 | 52 | 77 | 72 | 71 | 80 | 0 | 30 | 4,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 56 | 35 | 92 | 73 | 75 | 91 | 85 | 71 | 30 | 76 | 62 | 72 | 54 | 75 | 71 | 34 | 79 | 0 | 31 | 5,950,000$/3yrs | |||
![]() | 0 | D | 100.00 | 66 | 39 | 73 | 75 | 84 | 94 | 86 | 74 | 30 | 78 | 76 | 72 | 61 | 66 | 67 | 82 | 80 | 0 | 25 | 4,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 64 | 59 | 78 | 84 | 75 | 91 | 89 | 86 | 30 | 81 | 75 | 79 | 57 | 68 | 69 | 67 | 70 | 0 | 26 | 4,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 74 | 42 | 96 | 76 | 82 | 62 | 59 | 69 | 57 | 76 | 71 | 65 | 61 | 79 | 81 | 67 | 50 | 0 | 33 | 1,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 37 | 90 | 75 | 84 | 89 | 92 | 73 | 30 | 79 | 70 | 65 | 57 | 63 | 68 | 85 | 68 | 0 | 23 | 4,000,000$/3yrs | |||
TEAM AVERAGE | 100.00 | 67 | 40 | 86 | 72 | 76 | 86 | 85 | 70 | 61 | 73 | 69 | 76 | 65 | 73 | 72 | 63 | 79 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 86 | 92 | 91 | 77 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 66 | 71 | 70 | 81 | 0 | 24 | 3,979,000$/2yrs |
![]() | 0 | 100.00 | 94 | 89 | 85 | 94 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 83 | 87 | 52 | 82 | 0 | 33 | 7,000,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 90 | 91 | 88 | 86 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 75 | 79 | 61 | 82 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 84 | 90 | 91 | 87 | 81 | 75 | 68 | USA | 54 | 3 | 1,000,000$ |
General Manager | Maxime Perron |
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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 | Dylan Strome | 0 | C/LW | 11 | 4 | 11 | 15 | 4 | 0 | 0 | 11 | 39 | 12 | 20 | 10.26% | 5 | 17.82 | 0 | 2 | 2 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 14 | 5 | 3 | 0 | 0 | 1.53 | 0 | 0 | ||
2 | Calle Jarnkrok | 0 | C/LW/RW | 11 | 6 | 5 | 11 | 4 | 0 | 0 | 15 | 30 | 9 | 13 | 20.00% | 3 | 17.63 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 2 | 1 | 41.67% | 12 | 5 | 3 | 0 | 0 | 1.13 | 0 | 0 | ||
3 | Mitchell Marner | 0 | RW | 11 | 4 | 6 | 10 | 0 | 0 | 0 | 12 | 34 | 14 | 28 | 11.76% | 3 | 20.02 | 0 | 1 | 1 | 14 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 16 | 14 | 5 | 0 | 0 | 0.91 | 0 | 0 | ||
4 | Matty Beniers | 0 | C | 11 | 3 | 6 | 9 | 4 | 2 | 0 | 21 | 27 | 6 | 23 | 11.11% | 3 | 16.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.65% | 185 | 3 | 4 | 0 | 0 | 0.98 | 0 | 0 | ||
5 | Nico Hischier | 0 | C | 11 | 5 | 4 | 9 | 0 | 2 | 0 | 21 | 33 | 15 | 20 | 15.15% | 2 | 19.75 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0 | 1 | 0 | 52.86% | 280 | 4 | 3 | 0 | 0 | 0.83 | 0 | 0 | ||
6 | Jakob Chychrun | 0 | D | 11 | 2 | 6 | 8 | 4 | 0 | 0 | 25 | 24 | 9 | 7 | 8.33% | 18 | 21.18 | 0 | 1 | 1 | 11 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 2 | 6 | 0 | 0 | 0.69 | 0 | 0 | ||
7 | Vince Dunn | 0 | D | 11 | 1 | 4 | 5 | -2 | 2 | 0 | 16 | 26 | 6 | 15 | 3.85% | 15 | 22.78 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 10 | 10 | 0 | 0 | 0.40 | 0 | 0 | ||
8 | Justin Braun | 0 | D | 11 | 0 | 4 | 4 | 0 | 2 | 0 | 20 | 8 | 2 | 4 | 0.00% | 10 | 18.85 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 5 | 0 | 0 | 0.39 | 0 | 0 | ||
9 | Anton Stralman | 6 | D | 11 | 1 | 2 | 3 | 4 | 0 | 0 | 8 | 13 | 2 | 6 | 7.69% | 12 | 19.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.27 | 0 | 0 | ||
10 | Yanni Gourde | 0 | C/LW/RW | 11 | 1 | 2 | 3 | -2 | 0 | 0 | 12 | 25 | 10 | 28 | 4.00% | 5 | 15.53 | 1 | 0 | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 8 | 12 | 4 | 0 | 0 | 0.35 | 0 | 0 | ||
11 | Jeff Skinner | 0 | LW/RW | 11 | 1 | 2 | 3 | 2 | 4 | 0 | 15 | 22 | 4 | 11 | 4.55% | 1 | 19.34 | 1 | 0 | 1 | 14 | 0 | 0 | 0 | 0 | 1 | 0 | 61.90% | 21 | 4 | 10 | 0 | 0 | 0.28 | 0 | 0 | ||
12 | Matt Nieto | 0 | LW | 11 | 1 | 2 | 3 | -1 | 0 | 0 | 5 | 19 | 11 | 12 | 5.26% | 5 | 9.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 50.00% | 2 | 4 | 3 | 0 | 0 | 0.56 | 0 | 0 | ||
13 | Casey Cizikas | 0 | C | 11 | 2 | 0 | 2 | -2 | 6 | 0 | 22 | 17 | 8 | 6 | 11.76% | 4 | 14.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 53.03% | 132 | 2 | 1 | 0 | 0 | 0.25 | 0 | 0 | ||
14 | Tyson Jost | 0 | C/LW/RW | 11 | 1 | 1 | 2 | -2 | 0 | 0 | 17 | 24 | 6 | 18 | 4.17% | 1 | 14.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 50.00% | 8 | 2 | 4 | 0 | 0 | 0.25 | 0 | 0 | ||
15 | Nate Schmidt | 0 | D | 11 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 6 | 5 | 25.00% | 12 | 18.74 | 1 | 0 | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3 | 10 | 0 | 0 | 0.10 | 0 | 0 | ||
16 | Adam Larsson | 0 | D | 11 | 0 | 0 | 0 | -2 | 0 | 0 | 30 | 7 | 5 | 3 | 0.00% | 24 | 21.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 1 | 8 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Michael McLeod | 0 | C | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Nate Thompson | 0 | C | 11 | 0 | 0 | 0 | -1 | 0 | 0 | 15 | 10 | 1 | 1 | 0.00% | 2 | 9.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 57.58% | 33 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Tyler Pitlick | 0 | C/RW | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 10 | 5 | 12 | 0.00% | 2 | 8.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 2 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 209 | 33 | 55 | 88 | 10 | 18 | 0 | 288 | 372 | 131 | 232 | 8.87% | 127 | 16.16 | 3 | 5 | 8 | 132 | 0 | 0 | 0 | 57 | 6 | 1 | 52.23% | 716 | 77 | 88 | 0 | 0 | 0.52 | 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 | Frederik Andersen | 11 | 6 | 3 | 2 | 0.921 | 2.57 | 677 | 0 | 0 | 29 | 369 | 149 | 0 | 1 | 0.000 | 0 | 11 | 0 | 2 | 2 | 0 | |
Team Total or Average | 11 | 6 | 3 | 2 | 0.921 | 2.57 | 677 | 0 | 0 | 29 | 369 | 149 | 0 | 1 | 0.000 | 0 | 11 | 0 | 2 | 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 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 11 | 5 | 8 | 0.800 | 16 | 27 | 43 | 0 | 0 | 4 | 7 | 5 | 0 | 171 | 53 | 57 | 58 | 3 | 162 | 62 | 12 | 142 | 12 | 1 | 8.33% | 6 | 1 | 83.33% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 117 | 69 | 109 | 43 | 87 | 46 | 60.0% | 9.4% | 93.2% | 102.6 | LUCKY | |
2 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 19 | -2 | 4 | 0.333 | 17 | 28 | 45 | 1 | 0 | 4 | 7 | 6 | 0 | 201 | 48 | 72 | 79 | 2 | 208 | 65 | 6 | 146 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 139 | 88 | 127 | 46 | 97 | 50 | 45.5% | 8.5% | 90.9% | 99.3 | Unlucky | |
_Vs Division | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 33 | 30 | 3 | 12 | 0.545 | 33 | 55 | 88 | 1 | 0 | 8 | 14 | 11 | 0 | 372 | 101 | 129 | 137 | 5 | 370 | 127 | 18 | 288 | 16 | 3 | 18.75% | 9 | 2 | 77.78% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 256 | 157 | 236 | 90 | 184 | 97 | 51.7% | 8.9% | 91.9% | 100.8 | Unlucky | |
_Vs Conference | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 33 | 30 | 3 | 12 | 0.545 | 33 | 55 | 88 | 1 | 0 | 8 | 14 | 11 | 0 | 372 | 101 | 129 | 137 | 5 | 370 | 127 | 18 | 288 | 16 | 3 | 18.75% | 9 | 2 | 77.78% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 256 | 157 | 236 | 90 | 184 | 97 | 51.7% | 8.9% | 91.9% | 100.8 | Unlucky | |
_Since Last GM Reset | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 33 | 30 | 3 | 12 | 0.545 | 33 | 55 | 88 | 1 | 0 | 8 | 14 | 11 | 0 | 372 | 101 | 129 | 137 | 5 | 370 | 127 | 18 | 288 | 16 | 3 | 18.75% | 9 | 2 | 77.78% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 256 | 157 | 236 | 90 | 184 | 97 | 51.7% | 8.9% | 91.9% | 100.8 | Unlucky | |
Total | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 33 | 30 | 3 | 12 | 0.545 | 33 | 55 | 88 | 1 | 0 | 8 | 14 | 11 | 0 | 372 | 101 | 129 | 137 | 5 | 370 | 127 | 18 | 288 | 16 | 3 | 18.75% | 9 | 2 | 77.78% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 256 | 157 | 236 | 90 | 184 | 97 | 51.7% | 8.9% | 91.9% | 100.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 277 |
Neutral Zone Start | 169 |
Defensive Zone Start | 270 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 374 |
Faceoffs Lost | 342 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 33.4 | 30.68 |
Overtime | 33.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 29 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 3 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 16 |
---|---|
PP Goal | 3 |
PK Attempt | 9 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 33.8 |
Shots Against | 33.6 |
Goals For | 3.0 |
Goals Against | 2.7 |
Hits | 26.2 |
Shots Blocked | 11.5 |
Pim | 1.6 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 85,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Sharks Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Larsson | D | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Anton Stralman | D | 36 | 800,000$ | 800,000$ | UFA | ||||||
Artem Anisimov ![]() | C/LW | 33 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Calle Jarnkrok | C/LW/RW | 31 | 3,050,000$ | 3,050,000$ | 3,050,000$ | 3,050,000$ | UFA | ||||
Carter Hart ![]() | G | 24 | 3,979,000$ | 3,979,000$ | 3,979,000$ | RFA | |||||
Casey Cizikas | C | 32 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Dylan Strome ![]() | C/LW | 26 | 3,500,000$ | 3,500,000$ | RFA | ||||||
Frederik Andersen | G | 33 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Jakob Chychrun | D | 25 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Jeff Skinner | LW/RW | 30 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |||
Justin Braun | D | 36 | 750,000$ | 750,000$ | UFA | ||||||
Matt Nieto ![]() | LW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Matty Beniers ![]() | C | 20 | 750,000$ | 750,000$ | |||||||
Michael McLeod ![]() | C | 25 | 975,000$ | 975,000$ | RFA | ||||||
Mitchell Marner | RW | 25 | 10,893,000$ | 10,893,000$ | 10,893,000$ | 10,893,000$ | |||||
Nate Schmidt | D | 31 | 5,950,000$ | 5,950,000$ | 5,950,000$ | 5,950,000$ | UFA | ||||
Nate Thompson | C | 38 | 800,000$ | 800,000$ | UFA | ||||||
Nico Hischier ![]() | C | 24 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | ||||
Noah Dobson ![]() | D | 23 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | RFA | ||||
Tyler Pitlick ![]() | C/RW | 31 | 750,000$ | 750,000$ | UFA | ||||||
Tyson Jost ![]() | C/LW/RW | 25 | 2,000,000$ | 2,000,000$ | RFA | ||||||
Vince Dunn ![]() | D | 26 | 4,000,000$ | 4,000,000$ | RFA | ||||||
Yanni Gourde | C/LW/RW | 31 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Dell ![]() | G | 33 | 750,000$ | 750,000$ | UFA | ||||||
Adam Ruzicka ![]() | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Alexander Chmelevski ![]() | C/RW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Anders Bjork ![]() | LW | 26 | 1,600,000$ | 1,600,000$ | RFA | ||||||
Danny DeKeyser ![]() | D | 33 | 0$ | 1,000,000$ | UFA | ||||||
Dante Fabbro ![]() | D | 24 | 2,400,000$ | 2,400,000$ | RFA | ||||||
Gabriel Vilardi ![]() | C | 23 | 825,000$ | 825,000$ | RFA | ||||||
Jaret Anderson-Dolan ![]() | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Jesper Boqvist ![]() | C | 24 | 874,125$ | 874,125$ | RFA | ||||||
Kole Lind ![]() | RW | 24 | 850,000$ | 850,000$ | RFA | ||||||
Timothy Liljegren ![]() | D | 23 | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA |
Forward Lines | |||||||
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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 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 11 | 5 | 8 | 0.800 | 16 | 27 | 43 | 0 | 0 | 4 | 7 | 5 | 0 | 171 | 53 | 57 | 58 | 3 | 162 | 62 | 12 | 142 | 12 | 1 | 8.33% | 6 | 1 | 83.33% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 117 | 69 | 109 | 43 | 87 | 46 | 60.0% | 9.4% | 93.2% | 102.6 | LUCKY | |
2 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 19 | -2 | 4 | 0.333 | 17 | 28 | 45 | 1 | 0 | 4 | 7 | 6 | 0 | 201 | 48 | 72 | 79 | 2 | 208 | 65 | 6 | 146 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 139 | 88 | 127 | 46 | 97 | 50 | 45.5% | 8.5% | 90.9% | 99.3 | Unlucky | |
_Vs Division | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 33 | 30 | 3 | 12 | 0.545 | 33 | 55 | 88 | 1 | 0 | 8 | 14 | 11 | 0 | 372 | 101 | 129 | 137 | 5 | 370 | 127 | 18 | 288 | 16 | 3 | 18.75% | 9 | 2 | 77.78% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 256 | 157 | 236 | 90 | 184 | 97 | 51.7% | 8.9% | 91.9% | 100.8 | Unlucky | |
_Vs Conference | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 33 | 30 | 3 | 12 | 0.545 | 33 | 55 | 88 | 1 | 0 | 8 | 14 | 11 | 0 | 372 | 101 | 129 | 137 | 5 | 370 | 127 | 18 | 288 | 16 | 3 | 18.75% | 9 | 2 | 77.78% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 256 | 157 | 236 | 90 | 184 | 97 | 51.7% | 8.9% | 91.9% | 100.8 | Unlucky | |
_Since Last GM Reset | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 33 | 30 | 3 | 12 | 0.545 | 33 | 55 | 88 | 1 | 0 | 8 | 14 | 11 | 0 | 372 | 101 | 129 | 137 | 5 | 370 | 127 | 18 | 288 | 16 | 3 | 18.75% | 9 | 2 | 77.78% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 256 | 157 | 236 | 90 | 184 | 97 | 51.7% | 8.9% | 91.9% | 100.8 | Unlucky | |
Total | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 33 | 30 | 3 | 12 | 0.545 | 33 | 55 | 88 | 1 | 0 | 8 | 14 | 11 | 0 | 372 | 101 | 129 | 137 | 5 | 370 | 127 | 18 | 288 | 16 | 3 | 18.75% | 9 | 2 | 77.78% | 0 | 140 | 277 | 50.54% | 149 | 270 | 55.19% | 85 | 169 | 50.30% | 256 | 157 | 236 | 90 | 184 | 97 | 51.7% | 8.9% | 91.9% | 100.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 277 |
Neutral Zone Start | 169 |
Defensive Zone Start | 270 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 374 |
Faceoffs Lost | 342 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 33.4 | 30.68 |
Overtime | 33.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 29 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 3 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 16 |
---|---|
PP Goal | 3 |
PK Attempt | 9 |
PK Goal Against | 2 |
Home | |
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Shots For | 33.8 |
Shots Against | 33.6 |
Goals For | 3.0 |
Goals Against | 2.7 |
Hits | 26.2 |
Shots Blocked | 11.5 |
Pim | 1.6 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-04-08 | VS | CGY1,SJS2 | RECAP | ||
2023-04-10 | VS | CGY6,SJS5 (OT) | RECAP | ||
2023-04-12 | VS | SJS3,CGY2 | RECAP | ||
2023-04-14 | VS | SJS3,CGY1 | RECAP | ||
2023-04-16 | VS | CGY1,SJS3 | RECAP | ||
2023-04-22 | VS | SJS6,EDM3 | RECAP | ||
2023-04-24 | VS | SJS2,EDM4 | RECAP | ||
2023-04-26 | VS | EDM1,SJS2 | RECAP | ||
2023-04-28 | VS | EDM4,SJS3 | RECAP | ||
2023-04-30 | VS | SJS3,EDM4 (OT) | RECAP | ||
2023-05-02 | VS | EDM3,SJS1 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,863,666$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | SAP Center at San Jose | |
City | San Jose | ||
Capacity | 17562 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 3562 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 34732 | 28846 | 12000 | 20948 | 6000 |
Attendance PCT | 96.48% | 96.15% | 100.00% | 98.02% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
35 | 17088 - 97.30% | 2,161,146$ | 12,966,875$ | 17562 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,863,666$ | 83,863,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 92,641,045$ | 92,641,045$ |
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 |
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2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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 |
---|---|---|---|---|---|
Aleksi Heimosalmi | 2021 | 55 | |||
Arseni Gritsyuk | |||||
Brent Johnson | |||||
Francesco Pinelli | |||||
Frank Nazar | |||||
Isak Rosen | 2021 | 23 | |||
Jack Thompson | |||||
Jakob Pelletier | 2019 | 25 | Link | ||
Mattias Havelid | |||||
Nikita Okhotyuk | |||||
Niko Huuhtanen | |||||
Nikolai Knyzhov | |||||
Ronan Seeley | |||||
Ryan O'Rourke | |||||
Ryan Suzuki | |||||
Sam Rinzel | |||||
Samuel Bolduc | |||||
Ville Koivunen | 2021 | 51 | |||
Yaroslav Askarov | 2020 | 14 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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 |
---|---|---|---|---|---|
Aleksi Heimosalmi | 2021 | 55 | |||
Arseni Gritsyuk | |||||
Brent Johnson | |||||
Francesco Pinelli | |||||
Frank Nazar | |||||
Isak Rosen | 2021 | 23 | |||
Jack Thompson | |||||
Jakob Pelletier | 2019 | 25 | Link | ||
Mattias Havelid | |||||
Nikita Okhotyuk | |||||
Niko Huuhtanen | |||||
Nikolai Knyzhov | |||||
Ronan Seeley | |||||
Ryan O'Rourke | |||||
Ryan Suzuki | |||||
Sam Rinzel | |||||
Samuel Bolduc | |||||
Ville Koivunen | 2021 | 51 | |||
Yaroslav Askarov | 2020 | 14 |
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