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Full Scoreboard »» |
San Jose Sharks 39-24-7, 85pts · 7th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 37 | C | 100.00 | 63 | 39 | 79 | 83 | 76 | 84 | 79 | 81 | 90 | 82 | 86 | 90 | 79 | 85 | 81 | 0 | 70 | 91 | 35 | 6,875,000$/2yrs | |||
![]() | 91 | C/RW | 100.00 | 74 | 39 | 87 | 86 | 77 | 90 | 83 | 88 | 85 | 81 | 77 | 69 | 86 | 75 | 79 | 0 | 70 | 91 | 28 | 9,850,000$/7yrs | |||
![]() | 92 | LW | 100.00 | 83 | 47 | 71 | 82 | 80 | 87 | 84 | 81 | 74 | 80 | 83 | 66 | 82 | 75 | 87 | 0 | 66 | 90 | 27 | 5,571,429$/9yrs | |||
![]() | 67 | LW | 100.00 | 78 | 48 | 82 | 77 | 83 | 85 | 87 | 75 | 62 | 78 | 84 | 62 | 80 | 82 | 77 | 0 | 78 | 88 | 31 | 7,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 40 | 92 | 78 | 75 | 81 | 87 | 77 | 54 | 70 | 86 | 60 | 82 | 59 | 59 | 0 | 50 | 85 | 18 | 925,000$/3yrs | |||
![]() | 11 | RW | 100.00 | 79 | 47 | 77 | 76 | 66 | 81 | 86 | 74 | 57 | 72 | 80 | 64 | 73 | 75 | 78 | 0 | 66 | 84 | 28 | 3,750,000$/8yrs | |||
![]() | 92 | C/LW/RW | 100.00 | 64 | 39 | 83 | 79 | 74 | 81 | 72 | 78 | 69 | 77 | 71 | 62 | 80 | 69 | 66 | 0 | 51 | 84 | 25 | 5,500,000$/3yrs | |||
![]() | 92 | C/LW/RW | 100.00 | 83 | 42 | 75 | 73 | 71 | 79 | 86 | 72 | 58 | 69 | 71 | 82 | 73 | 75 | 67 | 0 | 70 | 83 | 27 | 3,750,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 44 | 87 | 78 | 81 | 83 | 89 | 73 | 75 | 73 | 67 | 69 | 70 | 69 | 67 | 0 | 78 | 82 | 24 | 2,400,000$/1yrs | |||
![]() | 38 | C/LW | 100.00 | 83 | 42 | 78 | 67 | 82 | 83 | 88 | 66 | 87 | 70 | 68 | 82 | 66 | 73 | 71 | 0 | 70 | 82 | 27 | 3,750,000$/2yrs | |||
![]() | 19 | C/RW | 100.00 | 55 | 42 | 90 | 63 | 87 | 81 | 84 | 70 | 88 | 72 | 66 | 60 | 68 | 88 | 79 | 0 | 72 | 79 | 37 | 1,000,000$/1yrs | |||
![]() | 10 | RW | 100.00 | 70 | 51 | 64 | 68 | 84 | 82 | 78 | 71 | 53 | 69 | 63 | 59 | 71 | 85 | 75 | 0 | 65 | 78 | 35 | 1,000,000$/1yrs | |||
![]() | 8 | D | 100.00 | 63 | 42 | 89 | 78 | 83 | 90 | 87 | 76 | 30 | 79 | 77 | 74 | 63 | 65 | 70 | 0 | 70 | 87 | 23 | 7,500,000$/6yrs | |||
![]() | 56 | D | 100.00 | 79 | 43 | 82 | 76 | 74 | 87 | 89 | 74 | 30 | 81 | 73 | 62 | 61 | 75 | 68 | 0 | 70 | 86 | 28 | 5,000,000$/4yrs | |||
![]() | 3 | D | 100.00 | 90 | 43 | 76 | 62 | 89 | 85 | 88 | 61 | 30 | 69 | 57 | 90 | 51 | 77 | 69 | 0 | 71 | 82 | 29 | 2,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 39 | 86 | 64 | 78 | 87 | 85 | 63 | 30 | 71 | 55 | 82 | 50 | 77 | 73 | 0 | 52 | 81 | 28 | 4,500,000$/4yrs | |||
![]() | 41 | D | 100.00 | 82 | 49 | 73 | 61 | 90 | 77 | 78 | 59 | 30 | 68 | 57 | 84 | 50 | 79 | 72 | 0 | 74 | 80 | 31 | 1,375,000$/2yrs | |||
![]() | 68 | D | 100.00 | 78 | 43 | 77 | 66 | 79 | 81 | 72 | 65 | 30 | 69 | 56 | 73 | 50 | 71 | 67 | 0 | 79 | 79 | 26 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 75 | 43 | 80 | 73 | 79 | 84 | 83 | 72 | 57 | 74 | 71 | 72 | 69 | 75 | 73 | 0 | 68 | 84 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 40 | 100.00 | 93 | 93 | 91 | 79 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 84 | 88 | 0 | 60 | 91 | 33 | 7,000,000$/1yrs |
![]() | 30 | 100.00 | 81 | 85 | 83 | 74 | 80 | 79 | 81 | 80 | 79 | 81 | 80 | 90 | 94 | 0 | 70 | 82 | 40 | 1,250,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 87 | 89 | 87 | 77 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 87 | 91 | 0 | 65 | 87 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Gerard Gallant | 85 | 85 | 84 | 83 | 84 | 78 | 63 | CAN | 56 | 1 | 1,000,000$ |
General Manager | Charles-Antoine Sirois |
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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 | Patrice Bergeron | 37 | C | 70 | 40 | 40 | 80 | 23 | 10 | 0 | 28 | 380 | 90 | 251 | 10.53% | 30 | 21.91 | 10 | 8 | 18 | 218 | 0 | 2 | 2 | 291 | 9 | 3 | 55.18% | 2086 | 0 | 0 | 0 | 0 | 1.04 | 2 | 7 | ||
2 | Tyler Seguin | 91 | C/RW | 70 | 32 | 33 | 65 | -5 | 6 | 0 | 60 | 292 | 65 | 220 | 10.96% | 18 | 20.69 | 10 | 15 | 25 | 234 | 0 | 0 | 0 | 145 | 6 | 3 | 53.02% | 1769 | 0 | 0 | 0 | 1 | 0.90 | 2 | 7 | ||
3 | Gabriel Landeskog | 92 | LW | 70 | 24 | 39 | 63 | 7 | 85 | 5 | 215 | 247 | 64 | 200 | 9.72% | 12 | 21.33 | 7 | 12 | 19 | 237 | 1 | 0 | 1 | 175 | 5 | 2 | 44.06% | 143 | 0 | 0 | 0 | 0 | 0.84 | 1 | 6 | ||
4 | Zach Werenski | 8 | D | 70 | 13 | 46 | 59 | 8 | 14 | 0 | 38 | 143 | 51 | 96 | 9.09% | 108 | 25.47 | 8 | 17 | 25 | 232 | 1 | 2 | 3 | 269 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
5 | Max Pacioretty | 67 | LW | 69 | 13 | 34 | 47 | 5 | 69 | 25 | 156 | 226 | 61 | 158 | 5.75% | 6 | 18.82 | 5 | 8 | 13 | 205 | 0 | 0 | 0 | 70 | 0 | 0 | 40.48% | 210 | 0 | 0 | 0 | 0 | 0.72 | 1 | 5 | ||
6 | Brendan Gallagher | 11 | RW | 70 | 19 | 25 | 44 | 10 | 55 | 5 | 119 | 139 | 31 | 100 | 13.67% | 4 | 18.32 | 6 | 10 | 16 | 227 | 0 | 0 | 0 | 0 | 3 | 0 | 36.36% | 88 | 0 | 0 | 0 | 0 | 0.69 | 1 | 4 | ||
7 | Vladislav Namestnikov | 92 | C/LW/RW | 70 | 16 | 22 | 38 | 4 | 52 | 0 | 96 | 183 | 50 | 128 | 8.74% | 20 | 15.37 | 3 | 8 | 11 | 119 | 0 | 0 | 0 | 171 | 3 | 1 | 43.01% | 93 | 0 | 0 | 0 | 0 | 0.71 | 0 | 4 | ||
8 | Erik Gustafsson | 56 | D | 70 | 7 | 29 | 36 | 12 | 56 | 0 | 151 | 68 | 24 | 43 | 10.29% | 61 | 23.10 | 5 | 9 | 14 | 218 | 0 | 0 | 0 | 162 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
9 | Jonathan Drouin | 92 | C/LW/RW | 69 | 11 | 25 | 36 | 6 | 12 | 0 | 27 | 137 | 48 | 102 | 8.03% | 5 | 17.92 | 2 | 9 | 11 | 219 | 0 | 0 | 0 | 12 | 3 | 2 | 38.46% | 182 | 0 | 0 | 0 | 0 | 0.58 | 2 | 5 | ||
10 | Boone Jenner | 38 | C/LW | 69 | 11 | 15 | 26 | 5 | 28 | 0 | 94 | 132 | 42 | 93 | 8.33% | 15 | 14.77 | 4 | 3 | 7 | 118 | 0 | 0 | 0 | 133 | 0 | 2 | 51.38% | 1086 | 0 | 0 | 0 | 0 | 0.51 | 0 | 1 | ||
11 | Brayden McNabb | 3 | D | 70 | 2 | 21 | 23 | 4 | 79 | 5 | 220 | 60 | 12 | 49 | 3.33% | 117 | 20.92 | 1 | 3 | 4 | 113 | 0 | 0 | 0 | 236 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
12 | Robert Bortuzzo | 41 | D | 67 | 2 | 19 | 21 | 19 | 86 | 10 | 118 | 35 | 16 | 19 | 5.71% | 69 | 15.20 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 141 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
13 | Adrian Kempe | 0 | C/LW | 70 | 8 | 7 | 15 | 9 | 25 | 5 | 38 | 72 | 19 | 47 | 11.11% | 2 | 10.39 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 49 | 2 | 0 | 50.72% | 138 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
14 | Nikita Zaitsev | 0 | D | 71 | 2 | 12 | 14 | -12 | 52 | 0 | 118 | 30 | 10 | 23 | 6.67% | 89 | 18.40 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 212 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
15 | Corey Perry | 10 | RW | 70 | 7 | 6 | 13 | 16 | 45 | 15 | 45 | 40 | 10 | 27 | 17.50% | 0 | 8.10 | 0 | 0 | 0 | 9 | 1 | 0 | 1 | 65 | 1 | 0 | 44.90% | 49 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
16 | Jason Spezza | 19 | C/RW | 53 | 2 | 8 | 10 | -5 | 2 | 0 | 3 | 30 | 7 | 16 | 6.67% | 0 | 7.26 | 0 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 1 | 50.85% | 295 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
17 | Tim Stützle | 0 | C/LW | 9 | 2 | 2 | 4 | -1 | 4 | 0 | 3 | 20 | 3 | 12 | 10.00% | 0 | 12.72 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
18 | Slater Koekkoek | 68 | D | 18 | 0 | 3 | 3 | 11 | 12 | 0 | 23 | 6 | 1 | 3 | 0.00% | 19 | 13.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
Team Total or Average | 1125 | 211 | 386 | 597 | 116 | 692 | 70 | 1552 | 2240 | 604 | 1587 | 9.42% | 575 | 17.44 | 61 | 106 | 167 | 2229 | 3 | 4 | 7 | 2143 | 37 | 15 | 51.78% | 6143 | 0 | 0 | 0 | 1 | 0.61 | 9 | 39 |
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 | Tuukka Rask | 53 | 28 | 19 | 5 | 0.902 | 2.68 | 3133 | 0 | 2 | 140 | 1433 | 0 | 2 | 0 | 0.625 | 16 | 53 | 16 | 2 | 3 | 2 | |
2 | Ryan Miller | 18 | 7 | 6 | 2 | 0.896 | 2.76 | 955 | 0 | 0 | 44 | 422 | 0 | 0 | 0 | 0.556 | 9 | 14 | 56 | 0 | 0 | 0 | |
Team Total or Average | 71 | 35 | 25 | 7 | 0.901 | 2.70 | 4088 | 0 | 2 | 184 | 1855 | 0 | 2 | 0 | 0.600 | 25 | 67 | 72 | 2 | 3 | 2 |
Projected Total Cap Hit | 81,496,429$ |
Projected Cap Space | 3,571$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 67,973,512$ |
Players In Salary Cap | 20 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe | C/LW | 24 | 2,400,000$ | 2,400,000$ | RFA | ||||||
Boone Jenner | C/LW | 27 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||||
Brayden McNabb | D | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Brendan Gallagher | RW | 28 | 3,750,000$ | 3,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ |
Corey Perry ![]() | RW | 35 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Erik Gustafsson | D | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Gabriel Landeskog | LW | 27 | 5,571,429$ | 5,571,429$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ |
Jason Spezza ![]() | C/RW | 37 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Jonathan Drouin | C/LW/RW | 25 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Max Pacioretty | LW | 31 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Nikita Zaitsev | D | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Patrice Bergeron | C | 35 | 6,875,000$ | 6,875,000$ | 6,875,000$ | UFA | |||||
Robert Bortuzzo | D | 31 | 1,375,000$ | 1,375,000$ | 1,375,000$ | UFA | |||||
Ryan Miller ![]() | G | 40 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Slater Koekkoek ![]() | D | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Tim Stützle ![]() | C/LW | 18 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Tuukka Rask | G | 33 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Tyler Seguin | C/RW | 28 | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | 9,850,000$ | UFA |
Vladislav Namestnikov | C/LW/RW | 27 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||||
Zach Werenski | D | 23 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Rauhausser ![]() | D | 25 | 770,000$ | 770,000$ | ![]() | ||||||
Bobo Carpenter ![]() | C/LW | 24 | 792,500$ | 792,500$ | RFA | ||||||
Brad Hunt ![]() | D | 32 | 700,000$ | 700,000$ | UFA | ||||||
Chris Bigras ![]() | D | 25 | 700,000$ | 700,000$ | ![]() | ||||||
Doyle Somerby ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Frederick Gaudreau ![]() | C | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Griffin Reinhart ![]() | D | 26 | 875,000$ | 875,000$ | 875,000$ | UFA | |||||
John Hayden ![]() | RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Josef Korenar ![]() | G | 22 | 925,000$ | 925,000$ | RFA | ||||||
Joseph Blandisi ![]() | LW/RW | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Kerby Rychel ![]() | LW | 26 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Linus Sandin ![]() | RW | 24 | 925,000$ | 925,000$ | ![]() | ||||||
Logan O'Connor ![]() | RW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Marko Dano ![]() | C/LW | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ![]() | |||||
Matt Irwin ![]() | D | 32 | 700,000$ | 700,000$ | UFA | ||||||
Matt Tennyson ![]() | D | 30 | 700,000$ | 700,000$ | UFA | ||||||
Nate Thompson ![]() | C/LW/RW | 36 | 700,000$ | 700,000$ | UFA | ||||||
Nick Wolff ![]() | D | 24 | 792,500$ | 792,500$ | RFA | ||||||
Nicolas Kerdiles ![]() | LW/RW | 26 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Oskar Steen ![]() | C/RW | 22 | 809,167$ | 809,167$ | 809,167$ | RFA | |||||
Riley Stillman ![]() | D | 22 | 733,833$ | 733,833$ | 733,833$ | RFA | |||||
Sam Vigneault ![]() | C | 25 | 700,000$ | 700,000$ | ![]() | ||||||
Simon Benoit ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Skyler McKenzie ![]() | LW | 22 | 741,666$ | 741,666$ | RFA | ||||||
Tanner Laczynski ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Ville Husso ![]() | G | 25 | 975,000$ | 975,000$ | ![]() | ||||||
Xavier Ouellet ![]() | D | 27 | 950,000$ | 950,000$ | 950,000$ | UFA |
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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 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 19 | -2 | 4 | 0.333 | 17 | 31 | 48 | 0 | 0 | 7 | 8 | 2 | 0 | 200 | 83 | 65 | 52 | 0 | 155 | 36 | 64 | 139 | 27 | 2 | 7.41% | 23 | 3 | 86.96% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 146 | 104 | 139 | 41 | 73 | 35 | 48.4% | 8.5% | 87.7% | 96.2 | Unlucky | |
2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 44 | 12 | 15 | 14 | 3 | 31 | 8 | 10 | 27 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 26 | 18 | 21 | 6 | 12 | 6 | 50.0% | 6.8% | 87.1% | 93.9 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 35 | 15 | 13 | 7 | 0 | 15 | 8 | 4 | 23 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 27 | 20 | 22 | 6 | 10 | 5 | 66.7% | 5.7% | 93.3% | 99.0 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 2 | 1 | 0 | 0 | 26 | 14 | 4 | 8 | 0 | 26 | 9 | 8 | 20 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 1 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 22 | 14 | 25 | 7 | 12 | 6 | 100.0% | 11.5% | 100.0% | 111.5 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 28 | 8 | 10 | 10 | 0 | 33 | 10 | 10 | 18 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 20 | 13 | 25 | 8 | 13 | 6 | 50.0% | 7.1% | 97.0% | 104.1 | DULL | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 74 | 30 | 21 | 23 | 0 | 60 | 19 | 12 | 48 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 49 | 35 | 45 | 13 | 24 | 12 | 42.9% | 6.8% | 91.7% | 98.4 | DULL | |
7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 90 | 28 | 24 | 38 | 0 | 78 | 30 | 47 | 71 | 9 | 3 | 33.33% | 20 | 3 | 85.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 71 | 48 | 72 | 21 | 35 | 18 | 40.0% | 7.8% | 88.5% | 96.2 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 34 | 8 | 11 | 15 | 0 | 29 | 14 | 23 | 30 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 22 | 14 | 24 | 7 | 13 | 6 | 33.3% | 5.9% | 86.2% | 92.1 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 27 | 6 | 13 | 8 | 0 | 20 | 6 | 4 | 19 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 21 | 15 | 24 | 7 | 13 | 6 | 66.7% | 11.1% | 90.0% | 101.1 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 0 | 1 | 0 | 32 | 20 | 4 | 8 | 0 | 20 | 7 | 10 | 25 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 24 | 16 | 24 | 6 | 11 | 5 | 80.0% | 12.5% | 95.0% | 107.5 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 12 | 12 | 9 | 0 | 30 | 9 | 10 | 22 | 1 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 21 | 14 | 25 | 7 | 12 | 6 | 33.3% | 3.0% | 83.3% | 86.4 | Unlucky | |
12 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 6 | 6 | 4 | 1.000 | 12 | 22 | 34 | 0 | 0 | 5 | 2 | 4 | 1 | 74 | 32 | 10 | 31 | 1 | 49 | 16 | 28 | 45 | 6 | 3 | 50.00% | 13 | 3 | 76.92% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 51 | 36 | 46 | 12 | 22 | 11 | 75.0% | 16.2% | 87.8% | 104.0 | FUN | |
13 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 13 | 12 | 1 | 5 | 0.625 | 13 | 22 | 35 | 0 | 0 | 4 | 3 | 6 | 1 | 126 | 39 | 43 | 41 | 7 | 117 | 40 | 39 | 90 | 14 | 1 | 7.14% | 15 | 1 | 93.33% | 1 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 91 | 62 | 104 | 29 | 49 | 23 | 52.2% | 10.3% | 89.7% | 100.1 | FUN | |
14 | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 14 | 10 | 4 | 6 | 0.600 | 14 | 24 | 38 | 0 | 1 | 8 | 3 | 2 | 1 | 141 | 43 | 47 | 48 | 3 | 127 | 47 | 46 | 116 | 20 | 3 | 15.00% | 18 | 4 | 77.78% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 119 | 82 | 119 | 35 | 61 | 32 | 64.7% | 9.9% | 92.1% | 102.1 | LUCKY | |
15 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 12 | 11 | 1 | 5 | 0.625 | 12 | 19 | 31 | 0 | 0 | 4 | 4 | 3 | 3 | 127 | 41 | 47 | 38 | 9 | 99 | 42 | 32 | 85 | 22 | 2 | 9.09% | 15 | 1 | 93.33% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 101 | 70 | 97 | 30 | 50 | 25 | 50.0% | 9.4% | 88.9% | 98.3 | FUN | |
16 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 2 | 59 | 13 | 22 | 18 | 18 | 59 | 20 | 35 | 51 | 8 | 1 | 12.50% | 12 | 2 | 83.33% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 48 | 31 | 54 | 15 | 26 | 13 | 42.9% | 6.8% | 89.8% | 96.6 | Unlucky | |
17 | 6 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 19 | 16 | 3 | 8 | 0.667 | 19 | 32 | 51 | 0 | 0 | 4 | 8 | 6 | 2 | 204 | 74 | 59 | 69 | 8 | 139 | 37 | 51 | 142 | 34 | 9 | 26.47% | 21 | 4 | 80.95% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 152 | 106 | 134 | 46 | 77 | 38 | 45.5% | 9.3% | 88.5% | 97.8 | FUN | |
18 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 9 | 5 | 6 | 1.000 | 14 | 25 | 39 | 0 | 0 | 5 | 5 | 3 | 1 | 114 | 40 | 34 | 36 | 4 | 91 | 29 | 30 | 64 | 12 | 5 | 41.67% | 15 | 5 | 66.67% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 75 | 53 | 71 | 21 | 36 | 18 | 69.2% | 12.3% | 90.1% | 102.4 | FUN | |
19 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 6 | 1.000 | 13 | 25 | 38 | 0 | 0 | 3 | 5 | 5 | 0 | 109 | 36 | 30 | 43 | 0 | 80 | 20 | 43 | 66 | 14 | 5 | 35.71% | 15 | 2 | 86.67% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 71 | 47 | 70 | 23 | 37 | 18 | 72.7% | 11.9% | 93.8% | 105.7 | LUCKY | |
20 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 35 | 5 | 17 | 11 | 2 | 15 | 7 | 10 | 23 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 24 | 16 | 23 | 8 | 13 | 6 | 75.0% | 8.6% | 86.7% | 95.2 | Unlucky | |
21 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 0 | 0.000 | 9 | 14 | 23 | 0 | 0 | 3 | 3 | 3 | 0 | 91 | 28 | 29 | 34 | 0 | 119 | 32 | 43 | 74 | 8 | 2 | 25.00% | 19 | 2 | 89.47% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 66 | 44 | 78 | 19 | 35 | 16 | 35.0% | 9.9% | 87.4% | 97.3 | FUN | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 20 | 6 | 7 | 7 | 0 | 24 | 11 | 14 | 19 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 25 | 17 | 23 | 7 | 11 | 5 | 50.0% | 5.0% | 91.7% | 96.7 | DULL | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 36 | 17 | 13 | 6 | 0 | 43 | 18 | 8 | 26 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 22 | 15 | 25 | 7 | 11 | 6 | 25.0% | 8.3% | 90.7% | 99.0 | Unlucky | |
24 | 8 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 25 | 21 | 4 | 9 | 0.563 | 25 | 45 | 70 | 1 | 0 | 10 | 10 | 5 | 0 | 239 | 88 | 65 | 85 | 1 | 220 | 82 | 78 | 200 | 30 | 8 | 26.67% | 38 | 6 | 84.21% | 1 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 179 | 123 | 203 | 58 | 98 | 47 | 53.1% | 10.5% | 90.5% | 100.9 | FUN | |
25 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 4 | 0 | 0 | 1 | 76 | 25 | 18 | 30 | 3 | 54 | 16 | 14 | 42 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 46 | 31 | 51 | 15 | 24 | 12 | 37.5% | 6.6% | 88.9% | 95.5 | Unlucky | |
26 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 3 | 2 | 36 | 12 | 3 | 13 | 14 | 31 | 6 | 6 | 28 | 6 | 1 | 16.67% | 2 | 2 | 0.00% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 26 | 17 | 23 | 7 | 15 | 8 | 50.0% | 11.1% | 83.9% | 95.0 | FUN | |
27 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 10 | 1.000 | 19 | 35 | 54 | 0 | 0 | 9 | 7 | 3 | 0 | 165 | 46 | 60 | 59 | 0 | 140 | 44 | 51 | 115 | 20 | 7 | 35.00% | 23 | 3 | 86.96% | 0 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 129 | 93 | 111 | 34 | 58 | 30 | 70.6% | 11.5% | 94.3% | 105.8 | LUCKY | |
_Vs Division | 34 | 18 | 12 | 0 | 1 | 1 | 1 | 1 | 107 | 86 | 21 | 42 | 0.618 | 107 | 189 | 296 | 1 | 1 | 42 | 39 | 24 | 4 | 1075 | 373 | 339 | 354 | 19 | 898 | 286 | 329 | 802 | 145 | 30 | 20.69% | 138 | 21 | 84.78% | 2 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 819 | 574 | 812 | 246 | 419 | 208 | 54.2% | 10.0% | 90.4% | 100.4 | FUN | |
_Vs Conference | 55 | 26 | 20 | 0 | 4 | 1 | 2 | 2 | 182 | 151 | 31 | 67 | 0.609 | 182 | 322 | 504 | 1 | 1 | 70 | 62 | 44 | 10 | 1792 | 620 | 544 | 610 | 36 | 1511 | 489 | 574 | 1275 | 230 | 54 | 23.48% | 245 | 39 | 84.08% | 2 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 1326 | 923 | 1325 | 398 | 674 | 335 | 53.3% | 10.2% | 90.0% | 100.2 | FUN | |
_Since Last GM Reset | 70 | 32 | 24 | 0 | 5 | 2 | 2 | 5 | 219 | 189 | 30 | 85 | 0.607 | 219 | 387 | 606 | 1 | 2 | 86 | 72 | 54 | 15 | 2275 | 781 | 696 | 761 | 73 | 1904 | 623 | 730 | 1628 | 278 | 63 | 22.66% | 306 | 53 | 82.68% | 3 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 1688 | 1170 | 1689 | 508 | 867 | 432 | 53.4% | 9.6% | 90.1% | 99.7 | FUN | |
Total | 70 | 32 | 24 | 0 | 5 | 2 | 2 | 5 | 219 | 189 | 30 | 85 | 0.607 | 219 | 387 | 606 | 1 | 2 | 86 | 72 | 54 | 15 | 2275 | 781 | 696 | 761 | 73 | 1904 | 623 | 730 | 1628 | 278 | 63 | 22.66% | 306 | 53 | 82.68% | 3 | 1412 | 2620 | 53.89% | 1175 | 2362 | 49.75% | 564 | 1088 | 51.84% | 1688 | 1170 | 1689 | 508 | 867 | 432 | 53.4% | 9.6% | 90.1% | 99.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2620 |
Neutral Zone Start | 1088 |
Defensive Zone Start | 2362 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3151 |
Faceoffs Lost | 2919 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.2 | 9.57 |
2nd Period | 21.1 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 33.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 152 |
---|---|
PP Goal | 63 |
PK Goal | 3 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 18 | 21 |
Lost | 13 | 11 |
Overtime Lost | 4 | 3 |
PP Attempt | 278 |
---|---|
PP Goal | 63 |
PK Attempt | 306 |
PK Goal Against | 53 |
Home | |
---|---|
Shots For | 32.5 |
Shots Against | 27.2 |
Goals For | 3.1 |
Goals Against | 2.7 |
Hits | 23.3 |
Shots Blocked | 8.9 |
Pim | 10.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-01 | @ | Sharks4,Canucks5 (SO) | RECAP | |||||||||||
2020-10-05 | @ | Oilers1,Sharks2 (SO) | RECAP | |||||||||||
2020-10-06 | @ | Sharks5,Ducks2 | RECAP | |||||||||||
2020-10-08 | @ | Oilers5,Sharks3 | RECAP | |||||||||||
2020-10-11 | @ | Sharks1,Flames2 | RECAP | |||||||||||
2020-10-12 | @ | Sharks3,Golden Knights2 | RECAP | |||||||||||
2020-10-13 | @ | Ducks5,Sharks3 | RECAP | |||||||||||
2020-10-16 | @ | Golden Knights2,Sharks3 | RECAP | |||||||||||
2020-10-18 | @ | Sharks3,Predators2 (SO) | RECAP | |||||||||||
2020-10-20 | @ | Golden Knights1,Sharks4 | RECAP | |||||||||||
2020-10-23 | @ | Ducks1,Sharks2 | RECAP | |||||||||||
2020-10-24 | @ | Sharks3,Kings0 | RECAP | |||||||||||
2020-10-26 | @ | Sharks4,Stars3 (OT) | RECAP | |||||||||||
2020-10-28 | @ | Sharks3,Ducks4 | RECAP | |||||||||||
2020-10-30 | @ | Flames5,Sharks3 | RECAP | |||||||||||
2020-11-01 | @ | Kings4,Sharks2 | RECAP | |||||||||||
2020-11-03 | @ | Sharks2,Hurricanes3 | RECAP | |||||||||||
2020-11-05 | @ | Avalanche4,Sharks3 | RECAP | |||||||||||
2020-11-08 | @ | Sharks3,Flames1 | RECAP | |||||||||||
2020-11-11 | @ | Panthers2,Sharks1 | RECAP | |||||||||||
2020-11-14 | @ | Sharks1,Capitals5 | RECAP | |||||||||||
2020-11-16 | @ | Predators5,Sharks4 (SO) | RECAP | |||||||||||
2020-11-18 | @ | Golden Knights1,Sharks2 | RECAP | |||||||||||
2020-11-20 | @ | Sharks4,Maple Leafs5 (SO) | RECAP | |||||||||||
2020-11-22 | @ | Sharks3,Jets4 | RECAP | |||||||||||
2020-11-24 | @ | Sharks3,Ducks2 | RECAP | |||||||||||
2020-11-25 | @ | Red Wings2,Sharks3 | RECAP | |||||||||||
2020-11-27 | @ | Sharks3,Hurricanes2 | RECAP | |||||||||||
2020-11-28 | @ | Devils1,Sharks2 | RECAP | |||||||||||
2020-12-02 | @ | Flyers4,Sharks3 (OT) | RECAP | |||||||||||
2020-12-04 | @ | Kings3,Sharks2 | RECAP | |||||||||||
2020-12-06 | @ | Sharks6,Wild5 (OT) | RECAP | |||||||||||
2020-12-08 | @ | Sharks2,Flames3 | RECAP | |||||||||||
2020-12-10 | @ | Sharks3,Sabres2 (OT) | RECAP | |||||||||||
2020-12-11 | @ | Ducks4,Sharks3 | RECAP | |||||||||||
2020-12-15 | @ | Lightning1,Sharks0 (SO) | RECAP | |||||||||||
2020-12-17 | @ | Blues2,Sharks5 | RECAP | |||||||||||
2020-12-20 | @ | Sharks4,Coyotes3 | RECAP | |||||||||||
2020-12-22 | @ | Sharks2,Predators3 | RECAP | |||||||||||
2020-12-23 | @ | Golden Knights2,Sharks7 | RECAP | |||||||||||
2020-12-26 | @ | Canucks3,Sharks1 | RECAP | |||||||||||
2020-12-27 | @ | Sharks5,Canucks2 | RECAP | |||||||||||
2020-12-30 | @ | Sharks4,Blues3 (OT) | RECAP | |||||||||||
2020-12-31 | @ | Senators0,Sharks3 | RECAP | |||||||||||
2021-01-02 | @ | Sharks1,Avalanche3 | RECAP | |||||||||||
2021-01-04 | @ | Stars3,Sharks1 | RECAP | |||||||||||
2021-01-07 | @ | Sharks4,Canadiens1 | RECAP | |||||||||||
2021-01-09 | @ | Oilers3,Sharks5 | RECAP | |||||||||||
2021-01-11 | @ | Lightning5,Sharks4 (SO) | RECAP | |||||||||||
2021-01-13 | @ | Sharks2,Rangers4 | RECAP | |||||||||||
2021-01-15 | @ | Sharks0,Oilers1 | RECAP | |||||||||||
2021-01-17 | @ | Oilers3,Sharks5 | RECAP | |||||||||||
2021-01-19 | @ | Sharks3,Avalanche2 | RECAP | |||||||||||
2021-01-21 | @ | Sharks4,Kings1 | RECAP | |||||||||||
2021-01-22 | @ | Wild1,Sharks6 | RECAP | |||||||||||
2021-01-24 | @ | Sharks4,Oilers3 | RECAP | |||||||||||
2021-01-26 | @ | Islanders1,Sharks2 | RECAP | |||||||||||
2021-01-29 | @ | Sharks3,Kings2 (OT) | RECAP | |||||||||||
2021-01-30 | @ | Blackhawks5,Sharks3 | RECAP | |||||||||||
2021-02-02 | @ | Sharks5,Blues4 | RECAP | |||||||||||
2021-02-03 | @ | Flames3,Sharks5 | RECAP | |||||||||||
2021-02-06 | @ | Sharks3,Predators1 | RECAP | |||||||||||
2021-02-07 | @ | Coyotes1,Sharks4 | RECAP | |||||||||||
2021-02-12 | @ | Coyotes1,Sharks5 | RECAP | |||||||||||
2021-02-14 | @ | Sharks3,Canucks2 | RECAP | |||||||||||
2021-02-16 | @ | Sharks2,Blackhawks4 | RECAP | |||||||||||
2021-02-17 | @ | Flames5,Sharks3 | RECAP | |||||||||||
2021-02-20 | @ | Ducks1,Sharks5 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2021-02-22 | @ | Sharks1,Ducks2 (OT) | RECAP | |||||||||||
2021-02-26 | @ | Blackhawks6,Sharks4 | RECAP | |||||||||||
2021-03-01 | @ | |||||||||||||
2021-03-03 | @ | |||||||||||||
2021-03-05 | @ | |||||||||||||
2021-03-07 | @ | |||||||||||||
2021-03-08 | @ | |||||||||||||
2021-03-09 | @ | |||||||||||||
2021-03-13 | @ | |||||||||||||
2021-03-15 | @ | |||||||||||||
2021-03-18 | @ | |||||||||||||
2021-03-20 | @ | |||||||||||||
2021-03-24 | @ | |||||||||||||
2021-03-26 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,496,429$ | 0$ | 81,496,429$ | 3,571$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | HP Pavilion at San Jose | |
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 | 198397 | 162881 | 65666 | 130797 | 33246 |
Attendance PCT | 94.47% | 93.07% | 93.81% | 93.43% | 94.99% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
6 | 16885 - 93.81% | 1,493,928$ | 52,287,492$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,496,429$ | 81,496,429$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
69,349,243$ | 81,496,429$ | 67,973,512$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
8,963,570$ | 29 | 460,874$ | 13,365,346$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
13,813,048$ | 81,496,429$ | 31,222,287$ | 26,372,809$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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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. |
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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Artur Akhtyamov | 2020 | 113 | |||
Ethan Bowen | 2020 | 175 | |||
Filip Barklund | |||||
Filip Johansson | 5.0 - 7.0 | ||||
Hunter Jones | 2019 | 66 | 6.0 - 4.0 | ||
Ilya Usov | 2020 | 144 | |||
Ivan Telegin | |||||
Ville Pokka | 4.0 - 2.0 |
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