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Full Scoreboard »» |
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Full Scoreboard »» |
San Jose Sharks 0-0-0, 0pts · 9th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tim Stutzle | 0 | C/LW | 100.00 | 72 | 33 | 79 | 88 | 75 | 91 | 89 | 85 | 75 | 88 | 85 | 77 | 85 | 62 | 60 | 0 | 57 | 93 | 22 | 8,350,000$/8yrs | |||
Martin Necas | 0 | RW | 100.00 | 64 | 33 | 84 | 81 | 76 | 86 | 90 | 79 | 74 | 82 | 79 | 65 | 79 | 67 | 66 | 0 | 72 | 88 | 25 | 5,750,000$/2yrs | |||
Evander Kane | 0 | LW/RW | 100.00 | 91 | 44 | 54 | 77 | 83 | 86 | 81 | 78 | 60 | 75 | 83 | 70 | 81 | 80 | 76 | 0 | 63 | 88 | 32 | 7,000,000$/2yrs | |||
Alex Killorn | 0 | LW/RW | 100.00 | 64 | 35 | 77 | 74 | 77 | 84 | 88 | 76 | 59 | 79 | 78 | 72 | 77 | 84 | 91 | 0 | 57 | 87 | 34 | 5,350,000$/4yrs | |||
Robby Fabbri | 0 | C/LW | 100.00 | 70 | 32 | 79 | 73 | 71 | 80 | 76 | 75 | 60 | 75 | 79 | 63 | 77 | 72 | 70 | 0 | 72 | 84 | 28 | 4,000,000$/2yrs | |||
Victor Olofsson | 0 | LW/RW | 100.00 | 57 | 32 | 96 | 74 | 70 | 78 | 88 | 73 | 56 | 70 | 79 | 60 | 76 | 73 | 73 | 0 | 72 | 83 | 28 | 4,675,000$/3yrs | |||
Bobby Brink | 0 | RW | 100.00 | 55 | 31 | 92 | 76 | 61 | 80 | 71 | 75 | 59 | 77 | 74 | 61 | 74 | 63 | 62 | 0 | 40 | 83 | 22 | 925,000$/1yrs | |||
Casey Cizikas | 0 | C | 100.00 | 80 | 37 | 79 | 63 | 73 | 79 | 90 | 66 | 84 | 69 | 65 | 86 | 66 | 81 | 79 | 0 | 62 | 82 | 33 | 3,250,000$/1yrs | |||
Oskar Sundqvist | 0 | C/RW | 100.00 | 68 | 34 | 88 | 68 | 88 | 78 | 87 | 71 | 72 | 74 | 68 | 74 | 69 | 75 | 74 | 0 | 46 | 82 | 30 | 1,600,000$/2yrs | |||
Pius Suter | 0 | C/RW | 100.00 | 61 | 32 | 96 | 71 | 69 | 79 | 87 | 69 | 78 | 66 | 73 | 78 | 71 | 72 | 71 | 0 | 72 | 82 | 27 | 2,500,000$/3yrs | |||
Matthew Poitras (R) | 0 | C | 100.00 | 59 | 32 | 92 | 74 | 68 | 79 | 71 | 72 | 77 | 74 | 72 | 68 | 72 | 58 | 57 | 0 | 39 | 81 | 20 | 870,000$/3yrs | |||
Jesper Fast | 0 | RW | 100.00 | 69 | 33 | 92 | 62 | 76 | 79 | 90 | 67 | 59 | 71 | 66 | 73 | 67 | 79 | 78 | 0 | 65 | 80 | 32 | 1,800,000$/2yrs | |||
Zach Werenski | 8 | D | 100.00 | 57 | 33 | 92 | 85 | 84 | 96 | 75 | 79 | 30 | 86 | 66 | 83 | 72 | 70 | 77 | 0 | 32 | 92 | 26 | 7,500,000$/3yrs | |||
Radko Gudas | 0 | D | 100.00 | 96 | 43 | 54 | 62 | 80 | 85 | 88 | 69 | 30 | 69 | 64 | 89 | 66 | 82 | 78 | 0 | 55 | 86 | 33 | 3,000,000$/2yrs | |||
Ben Chiarot | 0 | D | 100.00 | 77 | 36 | 77 | 62 | 92 | 89 | 90 | 70 | 30 | 70 | 63 | 87 | 67 | 80 | 85 | 0 | 50 | 85 | 32 | 4,750,000$/3yrs | |||
TJ Brodie | 0 | D | 100.00 | 64 | 33 | 87 | 61 | 75 | 91 | 85 | 70 | 30 | 71 | 57 | 89 | 64 | 82 | 81 | 0 | 72 | 85 | 33 | 4,600,000$/2yrs | |||
Kevin Shattenkirk | 0 | D | 100.00 | 67 | 33 | 79 | 67 | 81 | 86 | 88 | 69 | 30 | 74 | 63 | 77 | 66 | 84 | 82 | 0 | 42 | 84 | 35 | 1,350,000$/1yrs | |||
Justin Holl | 0 | D | 100.00 | 76 | 35 | 81 | 58 | 80 | 87 | 88 | 67 | 30 | 70 | 57 | 82 | 62 | 79 | 77 | 0 | 72 | 82 | 32 | 2,700,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Zach Benson (R) | 0 | LW | 95.91 | 57 | 31 | 78 | 77 | 62 | 81 | 71 | 73 | 59 | 77 | 70 | 66 | 72 | 56 | 54 | 0 | 16 | 81 | 18 | 950,000$/3yrs | |||
Janne Kuokkanen | 0 | C/LW | 100.00 | 62 | 33 | 93 | 68 | 76 | 78 | 60 | 67 | 56 | 70 | 66 | 70 | 66 | 67 | 66 | 0 | 19 | 79 | 25 | 800,000$/1yrs | |||
TEAM AVERAGE | 99.80 | 68 | 34 | 82 | 71 | 76 | 84 | 83 | 73 | 55 | 74 | 70 | 75 | 71 | 73 | 73 | 0 | 54 | 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 ) |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sergei Bobrovsky | 0 | 100.00 | 89 | 95 | 81 | 75 | 88 | 82 | 90 | 92 | 89 | 92 | 90 | 85 | 89 | 0 | 39 | 92 | 35 | 10,000,000$/3yrs |
Laurent Brossoit | 0 | 100.00 | 78 | 69 | 69 | 87 | 84 | 76 | 84 | 87 | 83 | 87 | 84 | 77 | 81 | 0 | 75 | 85 | 31 | 2,500,000$/1yrs |
Scratches | ||||||||||||||||||||
Jacob Ingham | 68 | 100.00 | 77 | 65 | 74 | 85 | 71 | 78 | 78 | 77 | 78 | 78 | 78 | 64 | 63 | 0 | 26 | 80 | 23 | 900,000$/3yrs |
TEAM AVERAGE | 100.00 | 81 | 76 | 75 | 82 | 81 | 79 | 84 | 85 | 83 | 86 | 84 | 75 | 78 | 0 | 47 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
David Quinn | 85 | 72 | 75 | 86 | 73 | 68 | 75 | USA | 51 | 3 | 1,000,000$ |
General Manager | Charles-Antoine Sirois |
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Priority | Type | Description |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 |
# | 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 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
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 |
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Alex Killorn | LW/RW | 34 | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | UFA | |||
Ben Chiarot | D | 32 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Bobby Brink | RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Casey Cizikas | C | 33 | 3,250,000$ | 3,250,000$ | UFA | ||||||
Evander Kane | LW/RW | 32 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Jacob Ingham | G | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Janne Kuokkanen | C/LW | 25 | 800,000$ | 800,000$ | RFA | ||||||
Jesper Fast | RW | 32 | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||||
Justin Holl | D | 32 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | ||||
Kevin Shattenkirk | D | 35 | 1,350,000$ | 1,350,000$ | UFA | ||||||
Laurent Brossoit | G | 31 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Martin Necas | RW | 25 | 5,750,000$ | 5,750,000$ | 5,750,000$ | RFA | |||||
Matthew Poitras | C | 20 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Oskar Sundqvist | C/RW | 30 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Pius Suter | C/RW | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Radko Gudas | D | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Robby Fabbri | C/LW | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Sergei Bobrovsky | G | 35 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | ||||
TJ Brodie | D | 33 | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | |||||
Tim Stutzle | C/LW | 22 | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ |
Victor Olofsson | LW/RW | 28 | 4,675,000$ | 4,675,000$ | 4,675,000$ | 4,675,000$ | UFA | ||||
Zach Benson | LW | 18 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Zach Werenski | D | 26 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty | C | 21 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Aidan McDonough | C/LW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Amadeus Lombardi | C | 20 | 838,333$ | 838,333$ | 838,333$ | 838,333$ | RFA | ||||
Brendan Brisson | C/LW/RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Brett Murray | LW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Christian Kyrou | D | 20 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Clay Hanus | D | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Daniil Chechelev | G | 23 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Ethan Del Mastro | D | 21 | 855,833$ | 855,833$ | 855,833$ | 855,833$ | RFA | ||||
Evan Cormier | G | 26 | 775,000$ | 775,000$ | RFA | ||||||
Filip Bystedt | C | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Filip Hallander | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Gavin White | D | 21 | 857,500$ | 857,500$ | 857,500$ | 857,500$ | RFA | ||||
Ilya Usov | C | 22 | 897,500$ | 897,500$ | 897,500$ | RFA | |||||
Joel Blomqvist | G | 22 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
Justin Richards | C/RW | 26 | 925,000$ | 925,000$ | RFA | ||||||
Marc-Andre Gaudet | D | 21 | 849,167$ | 849,167$ | 849,167$ | RFA | |||||
Martin Chromiak | RW | 21 | 820,000$ | 820,000$ | 820,000$ | RFA | |||||
Nathan Clurman | D | 25 | 775,000$ | 775,000$ | RFA | ||||||
Nick Cicek | D | 23 | 835,000$ | 835,000$ | RFA | ||||||
Nick Wolff | D | 27 | 850,000$ | 850,000$ | UFA | ||||||
Noah Ostlund | C | 20 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Olen Zellweger | D | 20 | 844,167$ | 844,167$ | 844,167$ | 844,167$ | RFA | ||||
Oskar Pettersson | RW | 20 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
Owen Beck | C | 20 | 885,000$ | 885,000$ | 885,000$ | 885,000$ | RFA | ||||
Paul Ludwinski | C | 20 | 931,667$ | 931,667$ | 931,667$ | 931,667$ | RFA | ||||
Radim Zohorna | LW/RW | 27 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Robert Calisti | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Simon Holmstrom | RW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Talyn Boyko | G | 21 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Tim Berni | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Ville Ottavainen | D | 21 | 775,000$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Will Cuylle | LW | 22 | 850,833$ | 850,833$ | 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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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,320,000$ | 0$ | 0$ | -820,000$ |
Arena | Goal Horn | About us | |
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Name | HP Pavilion at San Jose | ||
City | San Jose | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,320,000$ | 84,320,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 9 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 84,320,000$ | 68,123,322$ | 68,123,322$ |
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 | Ronde 8 |
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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 |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alex Ciernik | Sharks | 2023 | 62 | ||
Ben Boyd | Sharks | 2021 | 194 | ||
Bradly Nadeau | Sharks | 2023 | 36 | ||
Cameron Whitehead | Sharks | 2022 | 126 | ||
Carey Terrance | Sharks | 2023 | 80 | ||
Chandler Romeo | Sharks | 2021 | 217 | ||
Charlie Stramel | Sharks | 2023 | 49 | ||
Chris Pelosi | Sharks | 2023 | 109 | ||
Cole Huckins | Sharks | 2021 | 85 | ||
Danny Nelson | Sharks | 2023 | 72 | ||
Dominic James | Sharks | 2022 | 198 | ||
Egor Zavragin | Sharks | 2023 | 81 | ||
Ethan Bowen | Sharks | 2020 | 175 | ||
Evan Vierling | Sharks | 2020 | 105 | ||
Filip Barklund | Sharks | ||||
Hunter Brzustewicz | Sharks | 2023 | 58 | ||
Jack Malone | Sharks | 2019 | 169 | 5.5 - 5.0 | |
Jonathan Castagna | Sharks | 2023 | 85 | ||
Jordan Gustafson | Sharks | 2022 | 92 | ||
Lane Hutson | Sharks | 2022 | 38 | ||
Ludvig Jansson | Sharks | 2022 | 139 | ||
Nick Malik | Sharks | 2020 | 85 | ||
Otto Stenberg | Sharks | 2023 | 26 | ||
Quinn Finley | Sharks | 2022 | 98 | ||
Quinn Olson | Sharks | 2019 | 98 | ||
Samu Salminen | Sharks | 2021 | 53 | ||
Tanner Ludtke | Sharks | 2023 | 101 | ||
Tanner Molendyk | Sharks | 2023 | 38 | ||
Ty Mueller | Sharks | 2023 | 128 | ||
Viktor Hurtig | Sharks | 2021 | 185 |