

































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 86 | 39 | 77 | 76 | 67 | 88 | 90 | 75 | 89 | 78 | 75 | 77 | 76 | 74 | 72 | 0 | 79 | 29 | 5,574,750$/8yrs | |||||
![]() | LW/RW | 100.00 | 64 | 36 | 91 | 77 | 79 | 85 | 87 | 70 | 59 | 67 | 73 | 78 | 69 | 67 | 71 | 0 | 76 | 28 | 4,880,000$/5yrs | |||||
![]() | RW | 100.00 | 58 | 35 | 95 | 72 | 76 | 88 | 90 | 77 | 63 | 78 | 69 | 66 | 71 | 86 | 74 | 0 | 76 | 33 | 4,835,666$/3yrs | |||||
![]() | RW | 100.00 | 74 | 35 | 89 | 70 | 75 | 86 | 88 | 68 | 59 | 72 | 71 | 63 | 70 | 91 | 79 | 0 | 75 | 38 | 3,835,000$/1yrs | |||||
![]() | LW | 100.00 | 57 | 34 | 88 | 70 | 72 | 86 | 89 | 68 | 81 | 67 | 72 | 84 | 68 | 69 | 71 | 0 | 75 | 28 | 4,065,000$/2yrs | |||||
![]() | C | 100.00 | 66 | 35 | 94 | 70 | 73 | 82 | 84 | 64 | 72 | 65 | 66 | 83 | 62 | 84 | 77 | 0 | 74 | 36 | 2,113,000$/2yrs | |||||
![]() | RW | 100.00 | 59 | 35 | 91 | 77 | 76 | 86 | 89 | 76 | 56 | 72 | 65 | 57 | 76 | 63 | 64 | 0 | 73 | 23 | 2,279,250$/4yrs | |||||
![]() | LW | 100.00 | 65 | 38 | 93 | 70 | 76 | 83 | 82 | 69 | 57 | 65 | 68 | 72 | 71 | 69 | 67 | 0 | 72 | 26 | 2,421,000$/3yrs | |||||
![]() | RW | 100.00 | 74 | 43 | 71 | 68 | 74 | 84 | 85 | 69 | 70 | 64 | 71 | 59 | 72 | 62 | 63 | 0 | 71 | 22 | 902,500$/2yrs | |||||
![]() | C | 100.00 | 70 | 37 | 82 | 61 | 85 | 80 | 78 | 59 | 91 | 60 | 56 | 82 | 57 | 81 | 77 | 0 | 71 | 37 | 1,250,000$/1yrs | |||||
![]() | C | 100.00 | 68 | 41 | 85 | 63 | 72 | 80 | 84 | 62 | 70 | 61 | 62 | 74 | 59 | 76 | 75 | 0 | 70 | 34 | 750,000$/1yrs | |||||
![]() | D | 100.00 | 76 | 38 | 78 | 74 | 75 | 89 | 90 | 73 | 30 | 77 | 69 | 74 | 57 | 70 | 73 | 0 | 77 | 28 | 5,643,000$/7yrs | |||||
![]() | D | 100.00 | 90 | 63 | 73 | 62 | 99 | 88 | 91 | 60 | 30 | 72 | 57 | 76 | 50 | 71 | 68 | 0 | 75 | 28 | 2,920,667$/3yrs | |||||
![]() | D | 100.00 | 56 | 35 | 92 | 73 | 75 | 91 | 85 | 71 | 30 | 76 | 62 | 72 | 54 | 75 | 71 | 0 | 74 | 31 | 5,459,250$/4yrs | |||||
![]() | D | 100.00 | 73 | 35 | 92 | 74 | 76 | 85 | 79 | 72 | 30 | 76 | 64 | 71 | 56 | 62 | 65 | 0 | 74 | 24 | 1,459,722$/3yrs | |||||
![]() | D | 100.00 | 57 | 35 | 87 | 73 | 76 | 89 | 86 | 72 | 30 | 74 | 63 | 68 | 53 | 64 | 65 | 0 | 73 | 24 | 2,488,555$/3yrs | |||||
![]() | D | 100.00 | 80 | 65 | 84 | 63 | 94 | 81 | 77 | 64 | 30 | 66 | 57 | 72 | 51 | 86 | 76 | 0 | 73 | 38 | 921,000$/1yrs | |||||
![]() | D | 100.00 | 86 | 43 | 75 | 63 | 86 | 82 | 85 | 62 | 30 | 64 | 59 | 67 | 50 | 65 | 66 | 0 | 71 | 25 | 1,725,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | RW | 100.00 | 57 | 35 | 93 | 84 | 75 | 88 | 92 | 80 | 64 | 79 | 81 | 67 | 84 | 69 | 71 | 0 | 79 | 27 | 6,898,910$/3yrs | |||||
TEAM AVERAGE | 100.00 | 69 | 40 | 86 | 71 | 78 | 85 | 86 | 69 | 55 | 70 | 66 | 72 | 63 | 73 | 71 | 0 | 74 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 30 | 100.00 | 86 | 92 | 91 | 77 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 66 | 71 | 0 | 85 | 24 | 4,280,334$/3yrs | |
![]() | 56 | 100.00 | 74 | 76 | 77 | 82 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 70 | 84 | 0 | 76 | 30 | 803,000$/2yrs | |
Scratches | ||||||||||||||||||||
![]() | 31 | 100.00 | 84 | 72 | 71 | 79 | 83 | 82 | 84 | 83 | 82 | 84 | 83 | 87 | 89 | 0 | 84 | 36 | 6,884,000$/1yrs | |
TEAM AVERAGE | 100.00 | 81 | 80 | 80 | 79 | 80 | 79 | 81 | 80 | 79 | 81 | 80 | 74 | 81 | 0 | 82 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Larry Robinson | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 67 | 4 | 0$ |
General Manager | Steve Rioux |
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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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG |
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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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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 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
Contracts | 49/50 |
LTIR Players | 0 |
Sharks Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Braydon Coburn ![]() | D | 38 | 921,000$ | 921,000$ | UFA | ||||||
Carter Hart ![]() | G | 24 | 4,280,334$ | 4,883,000$ | 3,979,000$ | 3,979,000$ | ![]() | ||||
Colton Sceviour ![]() | C | 34 | 750,000$ | 750,000$ | UFA | ||||||
Darren Helm ![]() | C | 36 | 2,113,000$ | 2,976,000$ | 1,250,000$ | UFA | |||||
Dustin Brown ![]() | RW | 38 | 3,835,000$ | 3,835,000$ | UFA | ||||||
Filip Zadina ![]() | RW | 23 | 2,279,250$ | 3,642,000$ | 1,825,000$ | 1,825,000$ | 1,825,000$ | ![]() | |||
Ilya Mikheyev ![]() | LW/RW | 28 | 4,880,000$ | 5,400,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||
J.T. Compher ![]() | LW | 28 | 4,065,000$ | 4,630,000$ | 3,500,000$ | UFA | |||||
Jake Bean ![]() | D | 24 | 2,488,555$ | 2,799,000$ | 2,333,333$ | 2,333,333$ | UFA | ||||
Jan Jenik ![]() | RW | 22 | 902,500$ | 902,500$ | 902,500$ | RFA | |||||
Jay Beagle ![]() | C | 37 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Josh Bailey ![]() | RW | 33 | 4,835,666$ | 4,507,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Josh Morrissey ![]() | D | 28 | 5,643,000$ | 2,001,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA |
Nate Schmidt ![]() | D | 31 | 5,459,250$ | 3,987,000$ | 5,950,000$ | 5,950,000$ | 5,950,000$ | UFA | |||
Nicolas Meloche ![]() | D | 25 | 1,725,000$ | 2,500,000$ | 950,000$ | ![]() | |||||
Nikita Zadorov ![]() | D | 28 | 2,920,667$ | 1,262,000$ | 3,750,000$ | 3,750,000$ | UFA | ||||
Oskar Lindblom ![]() | LW | 26 | 2,421,000$ | 2,263,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Timothy Liljegren ![]() | D | 24 | 1,459,722$ | 1,579,166$ | 1,400,000$ | 1,400,000$ | ![]() | ||||
Tuukka Rask ![]() | G | 36 | 6,884,000$ | 6,884,000$ | UFA | ||||||
Vincent Trocheck ![]() | C | 29 | 5,574,750$ | 5,223,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ |
William Nylander ![]() | RW | 27 | 6,898,910$ | 6,772,000$ | 6,962,366$ | 6,962,366$ | UFA | ||||
Zane McIntyre ![]() | G | 30 | 803,000$ | 856,000$ | 750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid ![]() | G | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Alex Nylander ![]() | LW/RW | 25 | 831,500$ | 913,000$ | 750,000$ | ![]() | |||||
Brendan Perlini ![]() | LW | 27 | 1,028,000$ | 1,028,000$ | UFA | ||||||
Chris Mueller ![]() | C | 37 | 750,000$ | 750,000$ | UFA | ||||||
Christian Jaros ![]() | D | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Connor Zary ![]() | C | 21 | 1,005,000$ | 1,005,000$ | 1,005,000$ | 1,005,000$ | 1,005,000$ | ![]() | |||
David Gustafsson ![]() | C | 23 | 1,117,667$ | 1,803,000$ | 775,000$ | 775,000$ | ![]() | ||||
Jake McGrew ![]() | RW | 24 | 855,000$ | 855,000$ | ![]() | ||||||
Jasper Weatherby ![]() | C | 25 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Jon Gillies ![]() | G | 29 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Jordan Harris ![]() | D | 22 | 1,268,750$ | 1,137,500$ | 1,137,500$ | 1,400,000$ | 1,400,000$ | ![]() | |||
Justin Barron ![]() | D | 21 | 1,158,333$ | 1,158,333$ | 1,158,333$ | 1,158,333$ | RFA | ||||
Justin Scott ![]() | C | 27 | 786,000$ | 786,000$ | UFA | ||||||
Kyle Rau ![]() | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Lean Bergmann ![]() | C | 24 | 900,000$ | 900,000$ | ![]() | ||||||
Leon Gawanke ![]() | D | 24 | 780,000$ | 810,000$ | 750,000$ | ![]() | |||||
Linus Sandin ![]() | RW | 27 | 750,000$ | 750,000$ | UFA | ||||||
Mason Primeau ![]() | C | 21 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | RFA | ||||
Mitchell Gillam ![]() | G | 30 | 750,000$ | 750,000$ | UFA | ||||||
Pascal Laberge ![]() | C | 25 | 863,333$ | 863,333$ | ![]() | ||||||
Philip Broberg ![]() | D | 21 | 1,713,333$ | 1,713,333$ | 1,713,333$ | 1,713,333$ | ![]() | ||||
Simon Ryfors ![]() | C | 25 | 775,000$ | 800,000$ | 750,000$ | ![]() | |||||
Thomas Schemitsch ![]() | D | 26 | 1,847,000$ | 1,847,000$ | ![]() | ||||||
Travis Dermott ![]() | D | 26 | 1,207,000$ | 914,000$ | 1,500,000$ | UFA | |||||
Turner Elson ![]() | C | 30 | 758,333$ | 750,000$ | 762,500$ | 762,500$ | UFA | ||||
Victor Berglund ![]() | D | 23 | 850,833$ | 850,833$ | RFA | ||||||
Zachary Gallant ![]() | C | 24 | 786,667$ | 786,667$ | ![]() |
Forward Lines | |||||||
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Goalies | |||||||
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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 | |
---|---|
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 |
Date | Matchup | Result | Detail |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
69,822,666$ | 0$ | 0$ | 82,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | SAP Center | |
City | San Jose | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 100$ | 50$ | 40$ | 20$ | 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$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
69,822,666$ | 72,389,604$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 7 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 52,676,111$ | 52,676,111$ |
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 |
---|---|---|---|---|---|---|---|
2024 | ![]() ![]() | ![]() ![]() ![]() | ![]() ![]() | ![]() ![]() ![]() | ![]() | ![]() | |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() ![]() |
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 |
---|---|---|---|---|---|
Artem Guryev | ![]() | 2022 | 171 | ||
Ben Meehan | ![]() | 2021 | 155 | ||
Benjamin Gaudreau | ![]() | 2022 | 35 | ||
Brennan Othmann | ![]() | 2022 | 25 | ||
Chase Clark | ![]() | 2022 | 129 | ||
Cole Krygier | ![]() | 2019 | 214 | ||
Connor Kelley | ![]() | 2022 | 218 | ||
Demetrios Koumontzis | ![]() | 2019 | 118 | ||
Dru Krebs | ![]() | 2022 | 197 | ||
Eemil Viro | ![]() | 2021 | 97 | ||
Hugo Gabrielson | ![]() | 2022 | 193 | ||
Jack Adams | ![]() | 2018 | 185 | ||
Jack Matier | ![]() | 2022 | 157 | ||
Jakob Ragnarsson | ![]() | 2019 | 91 | ||
Jaroslav Chmelar | ![]() | 2022 | 177 | ||
Kaiden Guhle | ![]() | 2021 | 13 | ||
Kirill Marchenko | ![]() | 2019 | 75 | ||
Martin Rysavy | ![]() | 2022 | 209 | ||
Matthew Hill | ![]() | 2020 | 212 | ||
Nikita Quapp | ![]() | 2022 | 203 | ||
Oliver Tarnstrom | ![]() | 2021 | 86 | ||
Tomas Machu | ![]() | 2022 | 223 | ||
Victor Stjernborg | ![]() | 2022 | 156 | ||
Viktor Hurtig | ![]() | 2022 | 189 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() ![]() | ![]() ![]() ![]() | ![]() ![]() | ![]() ![]() ![]() | ![]() | ![]() | |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() ![]() |
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 |
---|---|---|---|---|---|
Artem Guryev | ![]() | 2022 | 171 | ||
Ben Meehan | ![]() | 2021 | 155 | ||
Benjamin Gaudreau | ![]() | 2022 | 35 | ||
Brennan Othmann | ![]() | 2022 | 25 | ||
Chase Clark | ![]() | 2022 | 129 | ||
Cole Krygier | ![]() | 2019 | 214 | ||
Connor Kelley | ![]() | 2022 | 218 | ||
Demetrios Koumontzis | ![]() | 2019 | 118 | ||
Dru Krebs | ![]() | 2022 | 197 | ||
Eemil Viro | ![]() | 2021 | 97 | ||
Hugo Gabrielson | ![]() | 2022 | 193 | ||
Jack Adams | ![]() | 2018 | 185 | ||
Jack Matier | ![]() | 2022 | 157 | ||
Jakob Ragnarsson | ![]() | 2019 | 91 | ||
Jaroslav Chmelar | ![]() | 2022 | 177 | ||
Kaiden Guhle | ![]() | 2021 | 13 | ||
Kirill Marchenko | ![]() | 2019 | 75 | ||
Martin Rysavy | ![]() | 2022 | 209 | ||
Matthew Hill | ![]() | 2020 | 212 | ||
Nikita Quapp | ![]() | 2022 | 203 | ||
Oliver Tarnstrom | ![]() | 2021 | 86 | ||
Tomas Machu | ![]() | 2022 | 223 | ||
Victor Stjernborg | ![]() | 2022 | 156 | ||
Viktor Hurtig | ![]() | 2022 | 189 |