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San Jose Sharks 11-4-0, 22pts · 2nd in Western Conference |
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 | 74 | 40 | 95 | 90 | 78 | 87 | 78 | 87 | 67 | 80 | 80 | 74 | 86 | 58 | 50 | 1 | 85 | 0 | 21 | 897,500$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 78 | 65 | 91 | 70 | 87 | 88 | 85 | 74 | 81 | 74 | 86 | 83 | 80 | 76 | 1 | 87 | 0 | 31 | 5,166,666$/2yrs | |||
![]() | 0 | C | 100.00 | 83 | 56 | 70 | 78 | 74 | 85 | 92 | 77 | 81 | 75 | 66 | 81 | 74 | 87 | 77 | 1 | 88 | 0 | 32 | 1,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 45 | 85 | 78 | 89 | 86 | 81 | 84 | 71 | 76 | 80 | 71 | 81 | 65 | 55 | 1 | 88 | 0 | 24 | 3,437,500$/2yrs | |||
![]() | 0 | C | 100.00 | 81 | 65 | 72 | 75 | 80 | 84 | 85 | 76 | 94 | 77 | 64 | 76 | 72 | 70 | 60 | 1 | 86 | 0 | 25 | 1,400,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 76 | 55 | 75 | 75 | 84 | 88 | 85 | 89 | 50 | 83 | 79 | 65 | 81 | 70 | 60 | 1 | 87 | 0 | 25 | 4,975,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 50 | 73 | 86 | 76 | 87 | 93 | 93 | 72 | 85 | 89 | 71 | 89 | 88 | 78 | 1 | 88 | 0 | 31 | 9,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 40 | 95 | 80 | 75 | 82 | 83 | 75 | 59 | 71 | 70 | 72 | 75 | 65 | 55 | 1 | 79 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 45 | 92 | 82 | 76 | 85 | 90 | 82 | 53 | 76 | 78 | 76 | 81 | 85 | 75 | 1 | 86 | 0 | 32 | 3,050,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 45 | 82 | 79 | 84 | 86 | 87 | 88 | 73 | 83 | 80 | 71 | 82 | 78 | 68 | 1 | 88 | 0 | 26 | 5,000,000$/5yrs | |||
![]() | 0 | RW | 99.00 | 71 | 50 | 78 | 95 | 76 | 91 | 87 | 92 | 40 | 94 | 85 | 85 | 91 | 78 | 74 | 1 | 85 | 0 | 26 | 10,893,000$/2yrs | |||
![]() | 0 | C | 99.00 | 69 | 40 | 93 | 95 | 75 | 90 | 86 | 92 | 81 | 86 | 86 | 89 | 91 | 75 | 77 | 1 | 85 | 0 | 24 | 7,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 76 | 61 | 69 | 74 | 84 | 87 | 83 | 72 | 40 | 65 | 62 | 81 | 69 | 65 | 55 | 1 | 84 | 0 | 27 | 750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 77 | 55 | 71 | 87 | 84 | 92 | 92 | 85 | 40 | 78 | 72 | 97 | 81 | 87 | 83 | 1 | 87 | 0 | 31 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 45 | 86 | 86 | 84 | 87 | 83 | 89 | 40 | 81 | 78 | 77 | 84 | 65 | 55 | 1 | 85 | 0 | 23 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 40 | 86 | 74 | 82 | 84 | 84 | 71 | 40 | 67 | 66 | 73 | 70 | 83 | 73 | 1 | 83 | 0 | 30 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 50 | 69 | 75 | 87 | 90 | 82 | 83 | 40 | 78 | 73 | 74 | 77 | 78 | 68 | 1 | 88 | 0 | 25 | 4,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 56 | 69 | 87 | 81 | 92 | 86 | 90 | 40 | 87 | 79 | 79 | 85 | 75 | 65 | 1 | 86 | 0 | 27 | 7,350,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 96.42 | 73 | 50 | 73 | 85 | 80 | 86 | 81 | 77 | 40 | 72 | 69 | 83 | 77 | 65 | 55 | 1 | 66 | 0 | 24 | 1,400,000$/1yrs | |||
TEAM AVERAGE | 99.68 | 73 | 51 | 79 | 83 | 80 | 87 | 86 | 84 | 58 | 79 | 75 | 78 | 80 | 75 | 66 | 1 | 85 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 89 | 90 | 93 | 77 | 93 | 90 | 87 | 88 | 88 | 92 | 85 | 70 | 63 | 1 | 82 | 0 | 25 | 3,979,000$/1yrs |
![]() | 0 | 100.00 | 89 | 90 | 91 | 81 | 91 | 88 | 84 | 86 | 86 | 90 | 84 | 80 | 73 | 1 | 88 | 0 | 29 | 5,100,000$/5yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 89 | 90 | 92 | 79 | 92 | 89 | 86 | 87 | 87 | 91 | 85 | 75 | 68 | 1 | 85 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 95 | 85 | 85 | 84 | 83 | 78 | 1 | USA | 55 | 2 | 1,000,000$ |
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 | Yanni Gourde | 0 | C/LW/RW | 15 | 4 | 14 | 18 | 10 | 9 | 5 | 30 | 40 | 15 | 32 | 10.00% | 5 | 16.40 | 0 | 2 | 2 | 27 | 0 | 0 | 0 | 16 | 1 | 1 | 41.03% | 39 | 8 | 6 | 0 | 0 | 1.46 | 0 | 0 | ||
2 | Mitchell Marner | 0 | RW | 15 | 9 | 9 | 18 | 3 | 4 | 0 | 25 | 45 | 18 | 38 | 20.00% | 8 | 20.46 | 2 | 2 | 4 | 37 | 0 | 0 | 0 | 16 | 3 | 0 | 25.00% | 24 | 9 | 8 | 0 | 0 | 1.17 | 1 | 1 | ||
3 | Nico Hischier | 0 | C | 15 | 6 | 12 | 18 | 3 | 0 | 0 | 18 | 48 | 13 | 23 | 12.50% | 4 | 20.54 | 1 | 2 | 3 | 37 | 0 | 0 | 0 | 14 | 1 | 0 | 48.48% | 363 | 12 | 6 | 0 | 0 | 1.17 | 0 | 1 | ||
4 | Matty Beniers | 0 | C | 15 | 7 | 10 | 17 | 7 | 0 | 0 | 19 | 46 | 12 | 22 | 15.22% | 7 | 15.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 49.04% | 208 | 7 | 3 | 0 | 0 | 1.45 | 0 | 0 | ||
5 | Jeff Skinner | 0 | LW/RW | 15 | 6 | 11 | 17 | 3 | 4 | 0 | 29 | 32 | 11 | 16 | 18.75% | 4 | 19.66 | 1 | 4 | 5 | 37 | 0 | 0 | 0 | 6 | 1 | 0 | 46.67% | 15 | 10 | 7 | 0 | 0 | 1.15 | 1 | 1 | ||
6 | Dylan Strome | 0 | C | 15 | 8 | 8 | 16 | 9 | 0 | 0 | 18 | 37 | 8 | 22 | 21.62% | 2 | 14.77 | 2 | 1 | 3 | 27 | 0 | 0 | 0 | 0 | 1 | 3 | 54.11% | 146 | 5 | 2 | 0 | 0 | 1.44 | 0 | 0 | ||
7 | Calle Jarnkrok | 0 | LW/RW | 15 | 6 | 8 | 14 | 5 | 0 | 0 | 15 | 25 | 7 | 17 | 24.00% | 7 | 15.16 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 64.29% | 14 | 9 | 8 | 0 | 0 | 1.23 | 0 | 0 | ||
8 | Gabriel Vilardi | 0 | C/RW | 15 | 4 | 8 | 12 | 11 | 5 | 5 | 13 | 28 | 5 | 19 | 14.29% | 1 | 12.97 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 71.43% | 14 | 2 | 4 | 0 | 0 | 1.23 | 0 | 0 | ||
9 | Drake Batherson | 0 | RW | 15 | 6 | 4 | 10 | 8 | 12 | 0 | 39 | 42 | 8 | 30 | 14.29% | 6 | 16.82 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 0 | 1 | 0 | 41.18% | 17 | 9 | 4 | 0 | 0 | 0.79 | 0 | 0 | ||
10 | Jakob Chychrun | 0 | D | 15 | 1 | 6 | 7 | 6 | 7 | 5 | 15 | 10 | 3 | 4 | 10.00% | 15 | 19.59 | 1 | 0 | 1 | 23 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 10 | 0 | 0 | 0.48 | 0 | 0 | ||
11 | Vince Dunn | 0 | D | 15 | 1 | 6 | 7 | 4 | 6 | 0 | 21 | 30 | 14 | 11 | 3.33% | 10 | 23.75 | 0 | 0 | 0 | 41 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 11 | 12 | 0 | 0 | 0.39 | 0 | 0 | ||
12 | Scott Harrington | 0 | D | 9 | 0 | 5 | 5 | 4 | 0 | 0 | 3 | 8 | 3 | 5 | 0.00% | 9 | 16.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.69 | 0 | 0 | ||
13 | Adam Larsson | 0 | D | 15 | 1 | 3 | 4 | 6 | 5 | 5 | 24 | 13 | 6 | 9 | 7.69% | 22 | 22.82 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 18 | 1 | 0 | 0.00% | 0 | 9 | 5 | 0 | 0 | 0.23 | 0 | 0 | ||
14 | Noah Dobson | 0 | D | 15 | 1 | 2 | 3 | 6 | 0 | 0 | 15 | 22 | 6 | 7 | 4.55% | 18 | 21.47 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 2 | 6 | 0 | 0 | 0.19 | 0 | 0 | ||
15 | Casey Cizikas | 0 | C | 15 | 2 | 0 | 2 | -4 | 4 | 0 | 14 | 14 | 2 | 10 | 14.29% | 3 | 8.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 0 | 40.00% | 10 | 2 | 2 | 0 | 0 | 0.30 | 0 | 0 | ||
16 | Niko Mikkola | 0 | D | 15 | 0 | 2 | 2 | 6 | 9 | 5 | 23 | 14 | 6 | 9 | 0.00% | 8 | 17.03 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 3 | 3 | 0 | 0 | 0.16 | 0 | 0 | ||
17 | Michael McLeod | 0 | C | 15 | 0 | 2 | 2 | -3 | 5 | 5 | 11 | 15 | 4 | 8 | 0.00% | 4 | 8.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64.71% | 51 | 2 | 3 | 0 | 0 | 0.33 | 0 | 0 | ||
18 | Jesper Boqvist | 0 | C/LW/RW | 15 | 1 | 1 | 2 | -2 | 0 | 0 | 3 | 21 | 7 | 15 | 4.76% | 2 | 8.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 3 | 3 | 0 | 0 | 0.30 | 0 | 0 | ||
19 | Timothy Liljegren | 0 | D | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 4 | 2 | 2 | 0.00% | 3 | 13.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 1 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 270 | 63 | 111 | 174 | 83 | 70 | 30 | 342 | 494 | 150 | 299 | 12.75% | 138 | 16.56 | 7 | 11 | 18 | 333 | 0 | 0 | 0 | 144 | 10 | 5 | 49.78% | 904 | 104 | 100 | 0 | 0 | 0.78 | 2 | 3 |
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 | Joonas Korpisalo | 7 | 6 | 1 | 0 | 0.920 | 2.31 | 415 | 0 | 1 | 16 | 199 | 88 | 0 | 0 | 0.000 | 0 | 6 | 9 | 1 | 0 | 0 | |
2 | Carter Hart | 9 | 5 | 3 | 0 | 0.900 | 2.94 | 490 | 0 | 1 | 24 | 239 | 90 | 1 | 1 | 1.000 | 2 | 9 | 6 | 2 | 0 | 0 | |
Team Total or Average | 16 | 11 | 4 | 0 | 0.909 | 2.65 | 905 | 0 | 2 | 40 | 438 | 178 | 1 | 1 | 1.000 | 2 | 15 | 15 | 3 | 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 |
# | 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 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 4 | 11 | 4 | 1.000 | 15 | 24 | 39 | 0 | 0 | 4 | 6 | 5 | 0 | 69 | 23 | 23 | 23 | 0 | 57 | 22 | 15 | 43 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 46 | 29 | 39 | 16 | 33 | 16 | 77.8% | 21.7% | 93.0% | 114.7 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 40 | 11 | 17 | 12 | 0 | 31 | 6 | 0 | 23 | 6 | 2 | 33.33% | 0 | 0 | 0.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 23 | 15 | 20 | 7 | 15 | 7 | 16.7% | 7.5% | 83.9% | 91.4 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 27 | 8 | 11 | 8 | 0 | 26 | 4 | 8 | 30 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 23 | 13 | 19 | 9 | 16 | 9 | 60.0% | 14.8% | 92.3% | 107.1 | LUCKY | |
4 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 1 | 2 | 59 | 23 | 16 | 20 | 3 | 57 | 23 | 6 | 44 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 45 | 27 | 44 | 18 | 35 | 17 | 40.0% | 6.8% | 89.5% | 96.3 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 1 | 0 | 2 | 0 | 27 | 7 | 9 | 11 | 0 | 33 | 10 | 2 | 19 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 19 | 11 | 22 | 8 | 17 | 8 | 28.6% | 11.1% | 84.8% | 96.0 | FUN | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 0 | 6 | 3 | 0 | 69 | 12 | 38 | 19 | 0 | 55 | 20 | 0 | 44 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 46 | 28 | 39 | 16 | 34 | 18 | 64.3% | 13.0% | 90.9% | 104.0 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 3 | 0 | 33 | 13 | 12 | 8 | 0 | 30 | 8 | 18 | 31 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 22 | 13 | 21 | 8 | 16 | 8 | 75.0% | 21.2% | 90.0% | 111.2 | FUN | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 2 | 1 | 32 | 5 | 12 | 14 | 1 | 34 | 14 | 2 | 17 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 20 | 12 | 22 | 9 | 17 | 8 | 57.1% | 12.5% | 91.2% | 103.7 | LUCKY | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 4 | 1.000 | 7 | 13 | 20 | 0 | 2 | 2 | 3 | 2 | 0 | 68 | 21 | 26 | 21 | 0 | 43 | 11 | 7 | 53 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 48 | 30 | 37 | 17 | 34 | 18 | 100.0% | 10.3% | 100.0% | 110.3 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 38 | 12 | 15 | 11 | 0 | 35 | 8 | 5 | 21 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 23 | 15 | 21 | 7 | 15 | 7 | 62.5% | 13.2% | 91.4% | 104.6 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 32 | 8 | 15 | 9 | 0 | 38 | 12 | 7 | 19 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 21 | 14 | 23 | 7 | 15 | 7 | 42.9% | 9.4% | 86.8% | 96.2 | FUN | |
_Vs Division | 9 | 5 | 3 | 0 | 0 | 0 | 1 | 0 | 39 | 28 | 11 | 12 | 0.667 | 39 | 65 | 104 | 1 | 0 | 7 | 17 | 14 | 2 | 302 | 88 | 118 | 96 | 3 | 268 | 89 | 28 | 194 | 23 | 4 | 17.39% | 9 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 204 | 127 | 188 | 75 | 152 | 76 | 55.6% | 12.9% | 89.6% | 102.5 | FUN | |
_Vs Conference | 11 | 6 | 3 | 0 | 1 | 0 | 1 | 0 | 50 | 34 | 16 | 16 | 0.727 | 50 | 85 | 135 | 1 | 0 | 9 | 20 | 19 | 3 | 367 | 106 | 142 | 118 | 4 | 332 | 111 | 48 | 242 | 27 | 5 | 18.52% | 13 | 1 | 92.31% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 247 | 153 | 231 | 93 | 186 | 93 | 57.7% | 13.6% | 89.8% | 103.4 | FUN | |
_Since Last GM Reset | 15 | 9 | 4 | 0 | 1 | 0 | 1 | 0 | 64 | 41 | 23 | 22 | 0.733 | 64 | 111 | 175 | 1 | 2 | 15 | 26 | 21 | 3 | 494 | 143 | 194 | 156 | 4 | 439 | 138 | 70 | 344 | 38 | 7 | 18.42% | 19 | 2 | 89.47% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 340 | 211 | 312 | 128 | 252 | 127 | 59.4% | 13.0% | 90.7% | 103.6 | FUN | |
Total | 15 | 9 | 4 | 0 | 1 | 0 | 1 | 0 | 64 | 41 | 23 | 22 | 0.733 | 64 | 111 | 175 | 1 | 2 | 15 | 26 | 21 | 3 | 494 | 143 | 194 | 156 | 4 | 439 | 138 | 70 | 344 | 38 | 7 | 18.42% | 19 | 2 | 89.47% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 340 | 211 | 312 | 128 | 252 | 127 | 59.4% | 13.0% | 90.7% | 103.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 332 |
Neutral Zone Start | 223 |
Defensive Zone Start | 347 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 450 |
Faceoffs Lost | 452 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 32.9 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 4.1 | 2.67 |
Overtime | 4.3 | 2.83 |
Even Strenght Goal | 56 |
---|---|
PP Goal | 7 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 5 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 38 |
---|---|
PP Goal | 7 |
PK Attempt | 19 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 29.3 |
Goals For | 4.3 |
Goals Against | 2.7 |
Hits | 22.9 |
Shots Blocked | 9.2 |
Pim | 4.7 |
Projected Total Cap Hit | 84,898,666$ |
Projected Cap Space | 101,334$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 16,016,975$ |
Players In Salary Cap | 21 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Larsson | D | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Calle Jarnkrok | LW/RW | 32 | 3,050,000$ | 3,050,000$ | 3,050,000$ | UFA | |||||
Carter Hart ![]() | G | 25 | 3,979,000$ | 3,979,000$ | RFA | ||||||
Casey Cizikas | C | 32 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Drake Batherson ![]() | RW | 25 | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | 4,975,000$ | ||||
Dylan Strome ![]() | C | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Gabriel Vilardi ![]() | C/RW | 24 | 3,437,500$ | 3,437,500$ | 3,437,500$ | RFA | |||||
Jakob Chychrun | D | 25 | 4,750,000$ | 4,750,000$ | 4,750,000$ | RFA | |||||
Jeff Skinner | LW/RW | 31 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Jesper Boqvist ![]() | C/LW/RW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Joonas Korpisalo | G | 29 | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | UFA | ||
Matty Beniers ![]() | C | 21 | 897,500$ | 897,500$ | |||||||
Michael McLeod ![]() | C | 25 | 1,400,000$ | 1,400,000$ | RFA | ||||||
Mitchell Marner | RW | 26 | 10,893,000$ | 10,893,000$ | 10,893,000$ | ||||||
Nico Hischier ![]() | C | 24 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | RFA | ||||
Niko Mikkola ![]() | D | 27 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Noah Dobson ![]() | D | 23 | 4,000,000$ | 4,000,000$ | 4,000,000$ | RFA | |||||
Scott Harrington ![]() | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Timothy Liljegren ![]() | D | 24 | 1,400,000$ | 1,400,000$ | RFA | ||||||
Vince Dunn ![]() | D | 27 | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | ||||
Yanni Gourde | C/LW/RW | 31 | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka ![]() | LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Dante Fabbro ![]() | D | 25 | 2,500,000$ | 2,500,000$ | RFA | ||||||
Isak Rosen ![]() | RW | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Jaret Anderson-Dolan ![]() | C/LW/RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Kole Lind ![]() | RW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Nick DeSimone ![]() | D | 29 | 750,000$ | 750,000$ | |||||||
Radim Simek ![]() | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Ronan Seeley ![]() | D | 21 | 810,000$ | 810,000$ | 810,000$ | 810,000$ | |||||
Ryan O'Rourke ![]() | C | 21 | 750,000$ | 750,000$ | RFA | ||||||
Tyler Pitlick ![]() | RW | 32 | 787,500$ | 787,500$ | UFA | ||||||
Ville Koivunen ![]() | RW | 20 | 828,333$ | 828,333$ | 828,333$ | 828,333$ | |||||
Yaroslav Askarov ![]() | G | 21 | 925,000$ | 925,000$ | 925,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 4 | 11 | 4 | 1.000 | 15 | 24 | 39 | 0 | 0 | 4 | 6 | 5 | 0 | 69 | 23 | 23 | 23 | 0 | 57 | 22 | 15 | 43 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 46 | 29 | 39 | 16 | 33 | 16 | 77.8% | 21.7% | 93.0% | 114.7 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 40 | 11 | 17 | 12 | 0 | 31 | 6 | 0 | 23 | 6 | 2 | 33.33% | 0 | 0 | 0.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 23 | 15 | 20 | 7 | 15 | 7 | 16.7% | 7.5% | 83.9% | 91.4 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 27 | 8 | 11 | 8 | 0 | 26 | 4 | 8 | 30 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 23 | 13 | 19 | 9 | 16 | 9 | 60.0% | 14.8% | 92.3% | 107.1 | LUCKY | |
4 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 1 | 2 | 59 | 23 | 16 | 20 | 3 | 57 | 23 | 6 | 44 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 45 | 27 | 44 | 18 | 35 | 17 | 40.0% | 6.8% | 89.5% | 96.3 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 1 | 0 | 2 | 0 | 27 | 7 | 9 | 11 | 0 | 33 | 10 | 2 | 19 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 19 | 11 | 22 | 8 | 17 | 8 | 28.6% | 11.1% | 84.8% | 96.0 | FUN | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 0 | 6 | 3 | 0 | 69 | 12 | 38 | 19 | 0 | 55 | 20 | 0 | 44 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 46 | 28 | 39 | 16 | 34 | 18 | 64.3% | 13.0% | 90.9% | 104.0 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 3 | 0 | 33 | 13 | 12 | 8 | 0 | 30 | 8 | 18 | 31 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 22 | 13 | 21 | 8 | 16 | 8 | 75.0% | 21.2% | 90.0% | 111.2 | FUN | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 2 | 1 | 32 | 5 | 12 | 14 | 1 | 34 | 14 | 2 | 17 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 20 | 12 | 22 | 9 | 17 | 8 | 57.1% | 12.5% | 91.2% | 103.7 | LUCKY | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 4 | 1.000 | 7 | 13 | 20 | 0 | 2 | 2 | 3 | 2 | 0 | 68 | 21 | 26 | 21 | 0 | 43 | 11 | 7 | 53 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 48 | 30 | 37 | 17 | 34 | 18 | 100.0% | 10.3% | 100.0% | 110.3 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 38 | 12 | 15 | 11 | 0 | 35 | 8 | 5 | 21 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 23 | 15 | 21 | 7 | 15 | 7 | 62.5% | 13.2% | 91.4% | 104.6 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 32 | 8 | 15 | 9 | 0 | 38 | 12 | 7 | 19 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 21 | 14 | 23 | 7 | 15 | 7 | 42.9% | 9.4% | 86.8% | 96.2 | FUN | |
_Vs Division | 9 | 5 | 3 | 0 | 0 | 0 | 1 | 0 | 39 | 28 | 11 | 12 | 0.667 | 39 | 65 | 104 | 1 | 0 | 7 | 17 | 14 | 2 | 302 | 88 | 118 | 96 | 3 | 268 | 89 | 28 | 194 | 23 | 4 | 17.39% | 9 | 0 | 100.00% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 204 | 127 | 188 | 75 | 152 | 76 | 55.6% | 12.9% | 89.6% | 102.5 | FUN | |
_Vs Conference | 11 | 6 | 3 | 0 | 1 | 0 | 1 | 0 | 50 | 34 | 16 | 16 | 0.727 | 50 | 85 | 135 | 1 | 0 | 9 | 20 | 19 | 3 | 367 | 106 | 142 | 118 | 4 | 332 | 111 | 48 | 242 | 27 | 5 | 18.52% | 13 | 1 | 92.31% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 247 | 153 | 231 | 93 | 186 | 93 | 57.7% | 13.6% | 89.8% | 103.4 | FUN | |
_Since Last GM Reset | 15 | 9 | 4 | 0 | 1 | 0 | 1 | 0 | 64 | 41 | 23 | 22 | 0.733 | 64 | 111 | 175 | 1 | 2 | 15 | 26 | 21 | 3 | 494 | 143 | 194 | 156 | 4 | 439 | 138 | 70 | 344 | 38 | 7 | 18.42% | 19 | 2 | 89.47% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 340 | 211 | 312 | 128 | 252 | 127 | 59.4% | 13.0% | 90.7% | 103.6 | FUN | |
Total | 15 | 9 | 4 | 0 | 1 | 0 | 1 | 0 | 64 | 41 | 23 | 22 | 0.733 | 64 | 111 | 175 | 1 | 2 | 15 | 26 | 21 | 3 | 494 | 143 | 194 | 156 | 4 | 439 | 138 | 70 | 344 | 38 | 7 | 18.42% | 19 | 2 | 89.47% | 0 | 168 | 332 | 50.60% | 169 | 347 | 48.70% | 113 | 223 | 50.67% | 340 | 211 | 312 | 128 | 252 | 127 | 59.4% | 13.0% | 90.7% | 103.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 332 |
Neutral Zone Start | 223 |
Defensive Zone Start | 347 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 450 |
Faceoffs Lost | 452 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 32.9 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 4.1 | 2.67 |
Overtime | 4.3 | 2.83 |
Even Strenght Goal | 56 |
---|---|
PP Goal | 7 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 5 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 38 |
---|---|
PP Goal | 7 |
PK Attempt | 19 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 29.3 |
Goals For | 4.3 |
Goals Against | 2.7 |
Hits | 22.9 |
Shots Blocked | 9.2 |
Pim | 4.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-07 | VS | FLA0,SJS4 | RECAP | |||||||||||
2023-10-10 | VS | SJS5,EDM3 | RECAP | |||||||||||
2023-10-13 | VS | SJS5,ANA3 | RECAP | |||||||||||
2023-10-17 | VS | MIN3,SJS4 (OT) | RECAP | |||||||||||
2023-10-20 | VS | FLA0,SJS3 | RECAP | |||||||||||
2023-10-22 | VS | SJS3,TBL5 | RECAP | |||||||||||
2023-10-26 | VS | SJS2,VGS1 (SO) | RECAP | |||||||||||
2023-10-28 | VS | LAK2,SJS4 | RECAP | |||||||||||
2023-11-03 | VS | VGS5,SJS2 | RECAP | |||||||||||
2023-11-05 | VS | SJS3,CGY5 | RECAP | |||||||||||
2023-11-09 | VS | SJS5,LAK3 | RECAP | |||||||||||
2023-11-11 | VS | VAN5,SJS3 | RECAP | |||||||||||
2023-11-14 | VS | ANA1,SJS10 | RECAP | |||||||||||
2023-11-19 | VS | WPG3,SJS7 | RECAP | |||||||||||
2023-11-21 | VS | SJS4,PHI2 | RECAP | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2024-06-02 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,898,666$ | 0$ | 84,898,666$ | 101,334$ |
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 | 42187 | 33857 | 15990 | 27281 | 8000 |
Attendance PCT | 87.89% | 84.64% | 99.94% | 95.74% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
33 | 15914 - 90.62% | 2,003,496$ | 16,027,970$ | 17562 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,898,666$ | 84,898,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
16,347,255$ | 84,898,666$ | 16,016,975$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
66,115,376$ | 195 | 356,426$ | 69,503,070$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
71,214,276$ | 84,898,666$ | 93,068,221$ | 93,500,776$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
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 |
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Aleksi Heimosalmi | 2021 | 55 | |||
Alexander Chmelevsk | |||||
Anton Wahlberg | |||||
Arseni Gritsyuk | |||||
Brent Johnson | |||||
Felix Unger Sorum | |||||
Francesco Pinelli | |||||
Frank Nazar | |||||
Jack Thompson | |||||
Mattias Havelid | |||||
Nikita Okhotyuk | |||||
Niko Huuhtanen | |||||
Nikolai Knyzhov | |||||
Ryan Suzuki | |||||
Sam Rinzel | |||||
Samuel Bolduc |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
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 | |||
Alexander Chmelevsk | |||||
Anton Wahlberg | |||||
Arseni Gritsyuk | |||||
Brent Johnson | |||||
Felix Unger Sorum | |||||
Francesco Pinelli | |||||
Frank Nazar | |||||
Jack Thompson | |||||
Mattias Havelid | |||||
Nikita Okhotyuk | |||||
Niko Huuhtanen | |||||
Nikolai Knyzhov | |||||
Ryan Suzuki | |||||
Sam Rinzel | |||||
Samuel Bolduc |
|