| San Jose Sharks 0-0-0, 0pts · 3rd 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Leon Draisaitl | 0 | C/LW/RW | 100.00 | 60 | 33 | 84 | 91 | 82 | 90 | 86 | 86 | 90 | 90 | 93 | 68 | 90 | 78 | 76 | 0 | 40 | 95 | 30 | 14,000,000$/7yrs | |||
Kyle Connor | 0 | LW | 100.00 | 59 | 34 | 91 | 85 | 73 | 89 | 90 | 81 | 56 | 83 | 85 | 65 | 83 | 75 | 74 | 0 | 40 | 89 | 29 | 7,500,000$/8yrs | |||
Mark Stone | 0 | RW | 100.00 | 61 | 36 | 93 | 79 | 87 | 87 | 84 | 77 | 58 | 86 | 79 | 76 | 78 | 83 | 94 | 0 | 40 | 89 | 34 | 9,500,000$/1yrs | |||
Martin Necas | 0 | RW | 100.00 | 67 | 33 | 89 | 83 | 76 | 88 | 89 | 79 | 60 | 86 | 81 | 56 | 80 | 71 | 70 | 0 | 40 | 88 | 27 | 9,350,000$/5yrs | |||
John Tavares | 0 | C/LW | 100.00 | 69 | 33 | 83 | 76 | 84 | 85 | 89 | 75 | 91 | 76 | 82 | 70 | 79 | 86 | 99 | 0 | 40 | 87 | 36 | 4,380,000$/3yrs | |||
Nico Hischier | 0 | C | 100.00 | 63 | 34 | 89 | 79 | 70 | 89 | 89 | 75 | 95 | 75 | 80 | 85 | 78 | 72 | 82 | 0 | 40 | 87 | 27 | 7,250,000$/6yrs | |||
Will Cuylle | 0 | LW | 100.00 | 95 | 41 | 77 | 69 | 85 | 81 | 90 | 66 | 60 | 66 | 71 | 77 | 68 | 66 | 64 | 0 | 40 | 80 | 24 | 3,900,000$/1yrs | |||
Simon Holmstrom | 0 | RW | 100.00 | 57 | 33 | 94 | 71 | 81 | 83 | 89 | 67 | 57 | 68 | 71 | 77 | 69 | 67 | 67 | 0 | 40 | 79 | 25 | 3,625,000$/1yrs | |||
Ryan Poehling | 0 | C/LW | 100.00 | 61 | 33 | 93 | 66 | 78 | 79 | 87 | 63 | 83 | 69 | 65 | 87 | 64 | 71 | 71 | 0 | 40 | 79 | 27 | 3,750,000$/4yrs | |||
Nick Foligno | 0 | C/LW/RW | 100.00 | 84 | 48 | 76 | 60 | 81 | 79 | 85 | 62 | 79 | 65 | 64 | 79 | 63 | 91 | 94 | 0 | 40 | 78 | 38 | 1,300,000$/2yrs | |||
Sam Carrick | 0 | C/RW | 100.00 | 75 | 54 | 72 | 55 | 77 | 73 | 89 | 57 | 81 | 60 | 61 | 79 | 59 | 83 | 80 | 0 | 40 | 74 | 34 | 1,300,000$/1yrs | |||
Ty Dellandrea | 0 | C/LW/RW | 100.00 | 85 | 39 | 76 | 55 | 77 | 76 | 83 | 55 | 80 | 60 | 54 | 83 | 54 | 68 | 66 | 0 | 40 | 72 | 26 | 1,625,000$/2yrs | |||
Zach Werenski | 8 | D | 100.00 | 58 | 35 | 89 | 83 | 84 | 99 | 89 | 72 | 30 | 86 | 76 | 73 | 74 | 74 | 73 | 0 | 40 | 90 | 29 | 12,000,000$/5yrs | |||
Lane Hutson | 0 | D | 100.00 | 60 | 31 | 85 | 82 | 60 | 93 | 90 | 71 | 30 | 87 | 62 | 69 | 67 | 62 | 61 | 0 | 40 | 86 | 22 | 8,850,000$/8yrs | |||
Shayne Gostisbehere | 0 | D | 100.00 | 62 | 32 | 79 | 75 | 70 | 86 | 84 | 65 | 30 | 81 | 66 | 60 | 66 | 81 | 79 | 0 | 40 | 84 | 33 | 4,350,000$/2yrs | |||
Connor Clifton | 75 | D | 100.00 | 90 | 44 | 73 | 55 | 73 | 82 | 84 | 60 | 30 | 61 | 54 | 85 | 57 | 77 | 75 | 0 | 40 | 77 | 31 | 1,500,000$/3yrs | |||
Nick Seeler | 0 | D | 100.00 | 75 | 39 | 83 | 55 | 80 | 84 | 89 | 60 | 30 | 61 | 56 | 83 | 58 | 81 | 79 | 0 | 40 | 76 | 33 | 2,700,000$/2yrs | |||
Cam Dineen | 12 | D | 100.00 | 67 | 40 | 85 | 60 | 73 | 71 | 82 | 61 | 30 | 66 | 57 | 70 | 62 | 72 | 71 | 0 | 40 | 75 | 28 | 850,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 69 | 37 | 84 | 71 | 77 | 84 | 87 | 68 | 59 | 74 | 70 | 75 | 69 | 75 | 76 | 0 | 40 | 83 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sergei Bobrovsky | 0 | 100.00 | 82 | 95 | 82 | 75 | 86 | 79 | 86 | 91 | 85 | 94 | 86 | 89 | 93 | 0 | 40 | 90 | 38 | 3,750,000$/2yrs |
Brandon Bussi | 0 | 100.00 | 75 | 74 | 71 | 92 | 79 | 74 | 78 | 84 | 81 | 83 | 78 | 72 | 76 | 0 | 40 | 83 | 28 | 1,200,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 79 | 85 | 77 | 84 | 83 | 77 | 82 | 88 | 83 | 89 | 82 | 81 | 85 | 0 | 40 | 87 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Paul Maurice | 91 | 79 | 78 | 66 | 99 | 85 | 67 | CAN | 59 | 3 | 1,000,000$ |
| General Manager | Charles-Antoine Sirois |
|---|
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|
| 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 |
|---|
| Projected Total Cap Hit | 102,679,995$ |
| Projected Cap Space | 1,320,005$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 0$ |
| Players In Salary Cap | 20 |
| LTIR Players | 0 |
| Sharks Roster | Pos | Age | Cap Hit | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 | 2033-34 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Bussi | G | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Cam Dineen | D | 28 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Connor Clifton | D | 31 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| John Tavares | C/LW | 36 | 4,380,000$ | 4,380,000$ | 4,380,000$ | 4,380,000$ | UFA | ||||
| Kyle Connor | LW | 29 | 7,500,000$ | 7,500,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ |
| Lane Hutson | D | 22 | 8,850,000$ | 8,850,000$ | 8,850,000$ | 8,850,000$ | 8,850,000$ | 8,850,000$ | 8,850,000$ | 8,850,000$ | 8,850,000$ |
| Leon Draisaitl | C/LW/RW | 30 | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | UFA |
| Mark Stone | RW | 34 | 9,500,000$ | 9,500,000$ | UFA | ||||||
| Martin Necas | RW | 27 | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | 9,350,000$ | UFA | ||
Nick Foligno ![]() | C/LW/RW | 38 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
| Nick Seeler | D | 33 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
| Nico Hischier | C | 27 | 7,250,000$ | 7,250,000$ | 11,700,000$ | 11,700,000$ | 11,700,000$ | 11,700,000$ | 11,700,000$ | UFA | |
| Ryan Poehling | C/LW | 27 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||
Sam Carrick ![]() | C/RW | 34 | 1,300,000$ | 1,300,000$ | UFA | ||||||
| Sergei Bobrovsky | G | 38 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||||
| Shayne Gostisbehere | D | 33 | 4,350,000$ | 4,350,000$ | 4,350,000$ | UFA | |||||
| Simon Holmstrom | RW | 25 | 3,625,000$ | 3,625,000$ | |||||||
| Ty Dellandrea | C/LW/RW | 26 | 1,625,000$ | 1,625,000$ | 1,625,000$ | ||||||
| Will Cuylle | LW | 24 | 3,900,000$ | 3,900,000$ | |||||||
| Zach Werenski | D | 29 | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | 12,000,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 | 2033-34 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty | C | 23 | 900,000$ | 900,000$ | RFA | ||||||
Aidan McDonough | C/LW | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Alex Ciernik | LW | 21 | 1,007,500$ | 1,007,500$ | 1,007,500$ | 1,007,500$ | RFA | ||||
Alex Kannok-Leipert | D | 26 | 800,000$ | 800,000$ | |||||||
Artur Akhtyamov | G | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Brendan Brisson | C/LW/RW | 24 | 950,000$ | 950,000$ | 950,000$ | ||||||
Cameron Whitehead | G | 23 | 937,500$ | 937,500$ | RFA | ||||||
Carey Terrance | C/LW | 21 | 961,667$ | 961,667$ | 961,667$ | RFA | |||||
Carson Wetsch | RW | 20 | 997,500$ | 997,500$ | 997,500$ | 997,500$ | RFA | ||||
Christian Kyrou | D | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Ethan Del Mastro | D | 23 | 850,000$ | 850,000$ | 850,000$ | ||||||
Evan Cormier | G | 28 | 800,000$ | 800,000$ | UFA | ||||||
Evan Vierling | C/LW/RW | 24 | 775,000$ | 775,000$ | 775,000$ | ||||||
Filip Hallander | C | 26 | 775,000$ | 775,000$ | |||||||
Gavin White | D | 23 | 775,000$ | 775,000$ | 775,000$ | ||||||
Jack Malone | C/LW/RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jonathan Castagna | C | 21 | 1,075,000$ | 1,075,000$ | 1,075,000$ | 1,075,000$ | RFA | ||||
Jordan Gustafson | C/LW | 25 | 830,000$ | 830,000$ | 830,000$ | ||||||
Ludvig Jansson | D | 22 | 955,000$ | 955,000$ | 955,000$ | RFA | |||||
Marc-Andre Gaudet | D | 23 | 877,500$ | 877,500$ | RFA | ||||||
Matthew Poitras | C | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Nathan Clurman | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Oskar Pettersson | RW | 22 | 910,000$ | 910,000$ | RFA | ||||||
Owen Beck | C | 22 | 853,333$ | 853,333$ | RFA | ||||||
Paul Ludwinski | C | 22 | 900,000$ | 900,000$ | RFA | ||||||
Quinn Finley | LW | 22 | 980,000$ | 980,000$ | 980,000$ | RFA | |||||
Talyn Boyko | G | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
Ville Ottavainen | D | 24 | 850,000$ | 850,000$ | 850,000$ |
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | |
|---|---|
| Offensive Zone | NAN |
| Neutral Zone | NAN |
| Defensive Zone | NAN |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | NAN |
| Without Puck | NAN |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 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 |
|---|---|
| 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 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 0 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | nan |
| Shots Against | nan |
| Goals For | nan |
| Goals Against | nan |
| Hits | nan |
| Shots Blocked | nan |
| Pim | nan |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 102,680,000$ | 0$ | 102,679,995$ | 1,320,000$ |
| 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 | 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 |
| 42 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 102,680,000$ | 102,680,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 555,027$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 185 | 560,432$ | 103,679,920$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 107,070,970$ | 102,680,000$ | 50,735,349$ | -56,335,621$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2027 | ||||||||
| 2028 | ||||||||
| 2029 | ||||||||
| 2030 | ||||||||
| 2031 |
| 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 |
|---|---|---|---|---|---|
| Artyom Matyuk | 2026 | 191 | |||
| Ashton Cumby | 2025 | 180 | |||
| Ben Boyd | 2021 | 194 | |||
| Carl Axelsson | 2026 | 142 | |||
| Carter Klippenstein | 2025 | 148 | |||
| Chandler Romeo | 2021 | 217 | |||
| Chris Pelosi | 2023 | 109 | |||
| Cole Huckins | 2021 | 85 | |||
| Dalyn Wakely | 2024 | 205 | |||
| Filip Barklund | |||||
| Gustav Sjoqvist | 2025 | 212 | |||
| Ivan Tkach-Tkachenko | 2025 | 159 | |||
| Nick Malik | 2020 | 85 | |||
| Rylan Singh | 2026 | 224 | |||
| Samu Salminen | 2021 | 53 | |||
| Tanner Ludtke | 2023 | 101 | |||
| Victor Johansson | 2024 | 143 | |||
| Viktor Hurtig | 2021 | 185 | |||
| Zach Jovanovski | 2026 | 187 |

