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San Jose Sharks 0-0-0, 0pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 82 | 76 | 72 | 65 | 78 | 75 | 85 | 61 | 74 | 65 | 63 | 84 | 62 | 75 | 66 | 36 | 43 | 0 | 29 | 2,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 73 | 48 | 76 | 73 | 64 | 83 | 90 | 71 | 79 | 73 | 70 | 75 | 72 | 78 | 75 | 35 | 55 | 0 | 30 | 5,166,666$/4yrs | |||
![]() | 0 | LW | 100.00 | 58 | 35 | 92 | 72 | 87 | 84 | 90 | 74 | 58 | 76 | 75 | 64 | 76 | 80 | 74 | 56 | 62 | 0 | 33 | 7,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 88 | 46 | 79 | 69 | 71 | 83 | 85 | 63 | 87 | 65 | 66 | 84 | 63 | 78 | 72 | 53 | 63 | 0 | 31 | 3,350,000$/1yrs | |||
![]() | 0 | C | 100.00 | 54 | 35 | 94 | 71 | 84 | 85 | 82 | 73 | 81 | 70 | 68 | 65 | 72 | 63 | 66 | 84 | 64 | 0 | 22 | 894,167$/1yrs | |||
![]() | 0 | LW | 100.00 | 57 | 35 | 91 | 76 | 72 | 83 | 88 | 74 | 55 | 67 | 70 | 62 | 78 | 77 | 69 | 66 | 63 | 0 | 30 | 9,000,000$/5yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 69 | 39 | 86 | 80 | 73 | 82 | 74 | 79 | 62 | 77 | 66 | 58 | 80 | 71 | 67 | 85 | 64 | 0 | 27 | 5,500,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 86 | 36 | 91 | 64 | 80 | 79 | 86 | 64 | 70 | 67 | 65 | 81 | 64 | 78 | 67 | 62 | 64 | 0 | 30 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 53 | 39 | 87 | 75 | 83 | 86 | 79 | 75 | 82 | 74 | 70 | 63 | 76 | 68 | 70 | 86 | 64 | 0 | 25 | 3,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 56 | 38 | 87 | 83 | 69 | 92 | 89 | 86 | 63 | 92 | 77 | 84 | 81 | 67 | 73 | 86 | 54 | 0 | 25 | 10,893,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 38 | 88 | 75 | 70 | 78 | 87 | 71 | 78 | 69 | 65 | 72 | 70 | 65 | 64 | 85 | 64 | 0 | 24 | 2,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 87 | 39 | 87 | 65 | 75 | 81 | 86 | 64 | 62 | 67 | 66 | 80 | 64 | 73 | 67 | 37 | 56 | 0 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 35 | 94 | 79 | 72 | 87 | 81 | 76 | 93 | 74 | 73 | 75 | 77 | 63 | 83 | 92 | 64 | 0 | 23 | 7,250,000$/5yrs | |||
![]() | 0 | D | 100.00 | 81 | 38 | 89 | 63 | 82 | 86 | 87 | 62 | 30 | 73 | 58 | 76 | 53 | 84 | 74 | 26 | 58 | 0 | 35 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 90 | 46 | 82 | 63 | 85 | 88 | 86 | 61 | 30 | 67 | 59 | 80 | 52 | 77 | 74 | 71 | 64 | 0 | 29 | 4,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 80 | 35 | 94 | 76 | 85 | 82 | 81 | 72 | 30 | 75 | 70 | 71 | 53 | 61 | 65 | 84 | 64 | 0 | 22 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 77 | 68 | 62 | 89 | 78 | 82 | 59 | 30 | 66 | 57 | 81 | 55 | 80 | 73 | 42 | 64 | 0 | 33 | 1,375,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 35 | 92 | 74 | 73 | 89 | 88 | 71 | 30 | 76 | 68 | 75 | 56 | 78 | 71 | 35 | 54 | 0 | 30 | 5,950,000$/4yrs | |||
![]() | 0 | D | 100.00 | 73 | 39 | 79 | 76 | 83 | 91 | 89 | 77 | 30 | 76 | 79 | 73 | 62 | 65 | 68 | 83 | 63 | 0 | 24 | 4,750,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 43 | 86 | 72 | 78 | 84 | 85 | 70 | 59 | 72 | 68 | 74 | 67 | 73 | 70 | 63 | 60 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 88 | 83 | 81 | 66 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 84 | 85 | 53 | 64 | 0 | 34 | 2,100,000$/1yrs |
![]() | 0 | 100.00 | 90 | 94 | 87 | 78 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 66 | 70 | 72 | 64 | 0 | 23 | 3,979,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 89 | 89 | 84 | 72 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 75 | 78 | 63 | 64 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Babcock | 70 | 75 | 84 | 81 | 86 | 80 | 61 | CAN | 57 | 1 | 3,000,000$ |
General Manager | Maxime Perron |
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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 |
---|---|---|
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 | 85,000,000$ |
Retains And Buyout Cap Hit | -1,000,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Sharks Roster | Pos | Age | Cap Hit | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Larsson | D | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Alex Stalock | G | 34 | 2,100,000$ | 2,100,000$ | UFA | ||||||
Carter Hart ![]() | G | 23 | 3,979,000$ | 3,979,000$ | 3,979,000$ | 3,979,000$ | RFA | ||||
Casey Cizikas | C | 31 | 3,350,000$ | 3,350,000$ | UFA | ||||||
Dylan Strome ![]() | C/LW/RW | 25 | 3,000,000$ | 3,000,000$ | RFA | ||||||
Gabriel Vilardi ![]() | C | 22 | 894,167$ | 894,167$ | RFA | ||||||
Jakob Chychrun | D | 24 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | ||||
James van Riemsdyk | LW | 33 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Jeff Skinner | LW | 30 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||
Jonathan Drouin | C/LW/RW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||||
Justin Braun ![]() | D | 35 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Kevin Rooney ![]() | C/LW | 29 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Mitchell Marner | C/LW/RW | 25 | 10,893,000$ | 10,893,000$ | 10,893,000$ | 10,893,000$ | 10,893,000$ | ||||
Nate Schmidt | D | 30 | 5,950,000$ | 5,950,000$ | 5,950,000$ | 5,950,000$ | 5,950,000$ | UFA | |||
Nico Hischier ![]() | C | 23 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | |||
Noah Dobson ![]() | D | 22 | 900,000$ | 900,000$ | RFA | ||||||
Robert Bortuzzo | D | 33 | 1,375,000$ | 1,375,000$ | UFA | ||||||
Tyler Pitlick ![]() | C/LW/RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Tyson Jost ![]() | C/LW | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | |||||
Yanni Gourde | C/LW/RW | 30 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA | |||
Zach Aston-Reese | C/LW/RW | 27 | 1,000,000$ | 1,150,000$ |
Non-Roster | Pos | Age | Cap Hit | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka ![]() | C/LW/RW | 23 | 800,000$ | 800,000$ | RFA | ||||||
Alexander Chmelevski ![]() | C/RW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Anders Bjork ![]() | LW | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Dante Fabbro ![]() | D | 23 | 2,400,000$ | 2,400,000$ | 2,400,000$ | RFA | |||||
Eric Comrie ![]() | G | 26 | 750,000$ | 750,000$ | |||||||
Jaret Anderson-Dolan ![]() | C/LW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Jesper Boqvist ![]() | LW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Jon Merrill ![]() ![]() | D | 30 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Kole Lind ![]() | RW | 23 | 874,125$ | 874,125$ | RFA | ||||||
Michael McLeod ![]() | C/RW | 24 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Timothy Liljegren ![]() | D | 23 | 863,333$ | 863,333$ | 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 | |
---|---|
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 |
83,507,833$ | -1,000,000$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | SAP Center at San Jose | |
City | San Jose | ||
Capacity | 17562 | ||
Season Ticket Holders | 80% |
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 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,507,833$ | 83,357,833$ | 0$ | -1,000,000$ |
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$ | 9 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 78,249,416$ | 78,249,416$ |
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 |
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2022 | |||||
2023 | |||||
2024 | |||||
2025 | |||||
2026 |
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 |
---|---|---|---|---|---|
Aleksi Heimosalmi | 2021 | 55 | |||
Brent Johnson | |||||
Francesco Pinelli | |||||
Isak Rosen | 2021 | 23 | |||
Jakob Pelletier | 2019 | 25 | Link | ||
Matthew Beniers | 2021 | 2 | |||
Nikolai Knyzhov | |||||
Ryan O'Rourke | |||||
Ryan Suzuki | |||||
Samuel Bolduc | |||||
Ville Koivunen | 2021 | 51 | |||
Yaroslav Askarov | 2020 | 14 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2022 | |||||
2023 | |||||
2024 | |||||
2025 | |||||
2026 |
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 |
---|---|---|---|---|---|
Aleksi Heimosalmi | 2021 | 55 | |||
Brent Johnson | |||||
Francesco Pinelli | |||||
Isak Rosen | 2021 | 23 | |||
Jakob Pelletier | 2019 | 25 | Link | ||
Matthew Beniers | 2021 | 2 | |||
Nikolai Knyzhov | |||||
Ryan O'Rourke | |||||
Ryan Suzuki | |||||
Samuel Bolduc | |||||
Ville Koivunen | 2021 | 51 | |||
Yaroslav Askarov | 2020 | 14 |