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San Jose Sharks 0-0-0, 0pts · 3rd in Western Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Artturi Lehkonen | 62 | LW/RW | 100.00 | 72 | 34 | 88 | 76 | 68 | 90 | 80 | 75 | 54 | 78 | 78 | 80 | 71 | 73 | 72 | 57 | 75 | 0 | 29 | 4,500,000$/3yrs | |||
Tyler Toffoli | 73 | C/LW/RW | 100.00 | 68 | 35 | 92 | 73 | 75 | 87 | 90 | 79 | 63 | 76 | 82 | 64 | 80 | 82 | 76 | 44 | 75 | 0 | 32 | 7,500,000$/4yrs | |||
Vinnie Hinostroza | 29 | C/LW/RW | 100.00 | 60 | 38 | 84 | 68 | 67 | 85 | 77 | 66 | 69 | 70 | 64 | 62 | 68 | 72 | 73 | 39 | 75 | 0 | 30 | 775,000$/2yrs | |||
Eric Robinson | 50 | LW | 100.00 | 76 | 39 | 94 | 65 | 83 | 80 | 84 | 64 | 61 | 63 | 62 | 73 | 61 | 72 | 70 | 36 | 75 | 0 | 29 | 950,000$/1yrs | |||
Joel Kiviranta | 94 | LW/RW | 100.00 | 71 | 38 | 86 | 66 | 69 | 77 | 86 | 63 | 61 | 62 | 60 | 72 | 63 | 69 | 70 | 36 | 75 | 0 | 28 | 775,000$/1yrs | |||
Sonny Milano | 15 | LW/RW | 100.00 | 64 | 37 | 92 | 74 | 73 | 81 | 82 | 72 | 56 | 68 | 70 | 62 | 76 | 70 | 71 | 72 | 75 | 0 | 28 | 1,900,000$/2yrs | |||
Mark Scheifele (A) | 55 | C | 100.00 | 67 | 57 | 79 | 82 | 85 | 91 | 89 | 81 | 78 | 79 | 83 | 67 | 82 | 80 | 78 | 68 | 75 | 0 | 31 | 8,500,000$/7yrs | |||
Morgan Barron | 36 | C | 100.00 | 75 | 44 | 89 | 65 | 90 | 79 | 88 | 64 | 62 | 61 | 63 | 80 | 64 | 66 | 69 | 47 | 75 | 0 | 25 | 1,350,000$/1yrs | |||
Adam Lowry | 17 | C | 100.00 | 80 | 77 | 79 | 68 | 91 | 86 | 90 | 67 | 80 | 72 | 65 | 89 | 63 | 79 | 88 | 52 | 75 | 0 | 31 | 3,250,000$/2yrs | |||
David Pastrnak (C) | 88 | RW | 100.00 | 70 | 38 | 84 | 88 | 74 | 92 | 87 | 89 | 57 | 86 | 93 | 66 | 91 | 75 | 74 | 67 | 75 | 0 | 28 | 11,250,000$/7yrs | |||
Yegor Chinakhov | 59 | LW/RW | 100.00 | 69 | 38 | 94 | 74 | 78 | 84 | 77 | 72 | 63 | 69 | 71 | 65 | 74 | 63 | 65 | 81 | 75 | 0 | 23 | 2,100,000$/2yrs | |||
William Karlsson | 71 | C | 100.00 | 65 | 34 | 94 | 77 | 72 | 88 | 89 | 76 | 86 | 78 | 75 | 85 | 76 | 78 | 73 | 55 | 75 | 0 | 31 | 5,900,000$/3yrs | |||
Adam Pelech | 3 | D | 100.00 | 71 | 40 | 83 | 67 | 85 | 91 | 82 | 62 | 30 | 75 | 60 | 90 | 51 | 73 | 71 | 53 | 75 | 0 | 30 | 4,250,000$/3yrs | |||
Kyle Burroughs | 0 | D | 100.00 | 89 | 68 | 70 | 64 | 73 | 89 | 83 | 59 | 30 | 63 | 56 | 76 | 50 | 69 | 70 | 40 | 75 | 0 | 29 | 1,100,000$/2yrs | |||
Filip Hronek | 17 | D | 100.00 | 73 | 34 | 84 | 74 | 71 | 93 | 87 | 72 | 30 | 83 | 66 | 76 | 56 | 69 | 71 | 60 | 75 | 0 | 26 | 7,250,000$/8yrs | |||
Ethan Bear | 74 | D | 100.00 | 65 | 37 | 87 | 67 | 72 | 88 | 75 | 64 | 30 | 72 | 58 | 75 | 52 | 68 | 70 | 50 | 75 | 0 | 27 | 2,062,500$/1yrs | |||
Jonas Siegenthaler | 71 | D | 100.00 | 73 | 37 | 85 | 67 | 84 | 90 | 86 | 63 | 30 | 72 | 56 | 84 | 49 | 69 | 70 | 59 | 75 | 0 | 27 | 4,000,000$/4yrs | |||
Charlie McAvoy (A) | 73 | D | 100.00 | 76 | 39 | 71 | 77 | 81 | 94 | 87 | 76 | 30 | 85 | 71 | 83 | 58 | 70 | 75 | 71 | 75 | 0 | 26 | 9,500,000$/6yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 71 | 42 | 85 | 72 | 77 | 87 | 84 | 70 | 54 | 73 | 69 | 75 | 66 | 72 | 73 | 55 | 75 | 0 |
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 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Linus Ullmark | 35 | 100.00 | 98 | 87 | 82 | 89 | 97 | 96 | 98 | 97 | 96 | 98 | 97 | 76 | 85 | 54 | 75 | 0 | 31 | 5,000,000$/1yrs |
Anthony Stolarz | 31 | 100.00 | 88 | 79 | 74 | 98 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 71 | 84 | 59 | 75 | 0 | 30 | 2,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 93 | 83 | 78 | 94 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 74 | 85 | 57 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 89 | 85 | 88 | 87 | 84 | 78 | 64 | USA | 56 | 3 | 5,000,000$ |
General Manager | Francois Burelle |
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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 | MP | 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 |
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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 |
# | 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 | 87,095,885$ |
Projected Cap Space | 904,115$ |
Retains And Buyout Cap Hit | 2,333,333$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry | C | 31 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Adam Pelech | D | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | RFA | ||||
Anthony Stolarz | D/G | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | |||||
Artturi Lehkonen | LW/RW/G | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | RFA | ||||
Charlie McAvoy | D | 26 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | RFA | |
David Pastrnak | RW | 28 | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | UFA |
Eric Robinson | LW | 29 | 950,000$ | 950,000$ | RFA | ||||||
Ethan Bear | D | 27 | 2,062,500$ | 2,062,500$ | RFA | ||||||
Filip Hronek | D | 26 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ |
Joel Kiviranta | LW/RW | 28 | 775,000$ | 775,000$ | RFA | ||||||
Jonas Siegenthaler | D | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | RFA | |||
Kyle Burroughs | D | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Linus Ullmark | D/G | 31 | 5,000,000$ | 5,000,000$ | |||||||
Mark Scheifele | C | 31 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA |
Morgan Barron | C | 25 | 1,350,000$ | 1,350,000$ | RFA | ||||||
Sonny Milano | LW/RW | 28 | 1,900,000$ | 1,900,000$ | 1,900,000$ | RFA | |||||
Tyler Toffoli | C/LW/RW/G | 32 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||
Vinnie Hinostroza | C/LW/RW | 30 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
William Karlsson | C | 31 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA | ||||
Yegor Chinakhov | LW/RW | 23 | 2,100,000$ | 2,100,000$ | 2,100,000$ | RFA |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 |
# | 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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
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 | 0 |
Without Puck | 0 |
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 | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
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1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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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 | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
89,637,500$ | 2,333,333$ | 87,095,885$ | 904,115$ |
Arena | Goal Horn | About us | |
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Name | SAP Center at San Jose | ||
City | San Jose | ||
Capacity | 17562 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 3562 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 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$ | 17562 | 95 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
89,637,500$ | 89,637,500$ | 0$ | 2,333,333$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 432,462$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 196 | 482,844$ | 94,637,424$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
97,130,694$ | 87,095,885$ | 166,692,474$ | 69,561,780$ |
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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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Aidan Thompson | Sharks | 2023 | 125 | ||
Alex Young | Sharks | 2021 | 216 | ||
Alexander Perevalov | Sharks | 2022 | 36 | ||
Andre Gasseau | Sharks | 2021 | 184 | ||
Cameron O'Neill | Sharks | 2023 | 221 | ||
Cole O'Hara | Sharks | 2023 | 223 | ||
Eric Engstrand | Sharks | 2020 | 186 | ||
Eric Hjorth | Sharks | 2019 | 112 | ||
Hugo Ollas | Sharks | 2021 | 206 | ELC 2024-25 | Link |
Jake Livanavage | Sharks | 2022 | 160 | ||
Jamiro Reber | Sharks | 2024 | 186 | ||
Jordan Gustafson | Sharks | 2023 | 184 | Link | |
Justin Coté | Sharks | 2022 | 188 | ||
Justin Kipkie | Sharks | 2023 | 189 | ||
Kenny Connors | Sharks | 2023 | 182 | ||
Kyle Crnkovic | Sharks | 2020 | 155 | ||
Luke Mittlestadt | Sharks | 2023 | 102 | ||
Markus Vidicek | Sharks | 2022 | 120 | ||
Noah Laba | Sharks | 2023 | 215 | ||
Owen Lindmark | Sharks | 2019 | 143 | ||
Roddy Ross | Sharks | 2019 | 174 | ||
Shamil Shmakov | Sharks | ||||
Simon Kjellberg | Sharks | 2018 | 167 | ||
Simon Zether | Sharks | 2024 | 63 |
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