Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Ladd | 11 | C | 100.00 | 63 | 62 | 72 | 63 | 72 | 66 | 65 | 58 | 54 | 64 | 60 | 67 | 56 | 82 | 82 | 0 | 50 | 67 | 37 | 5,500,000$/1yrs | |||
Ondrej Kase | 73 | RW | 100.00 | 64 | 40 | 84 | 62 | 73 | 68 | 65 | 56 | 51 | 63 | 58 | 64 | 60 | 62 | 58 | 0 | 50 | 65 | 27 | 1,500,000$/1yrs | |||
Curtis McKenzie | 0 | C/LW | 100.00 | 56 | 59 | 62 | 63 | 67 | 68 | 66 | 62 | 55 | 60 | 61 | 64 | 54 | 72 | 63 | 0 | 50 | 65 | 32 | 775,000$/1yrs | |||
Nils Aman (R) | 0 | C | 100.00 | 62 | 41 | 78 | 61 | 63 | 61 | 67 | 56 | 59 | 66 | 56 | 67 | 51 | 53 | 54 | 0 | 50 | 64 | 23 | 925,000$/1yrs | |||
Michael Mersch | 0 | RW | 100.00 | 55 | 59 | 66 | 61 | 68 | 66 | 64 | 61 | 55 | 59 | 61 | 60 | 54 | 70 | 62 | 0 | 50 | 64 | 30 | 775,000$/1yrs | |||
Rhett Gardner | 37 | C | 100.00 | 56 | 56 | 63 | 59 | 71 | 67 | 66 | 60 | 70 | 59 | 57 | 65 | 55 | 63 | 58 | 0 | 50 | 64 | 27 | 750,000$/3yrs | |||
Steven Fogarty | 39 | C | 100.00 | 56 | 58 | 64 | 61 | 68 | 66 | 65 | 61 | 55 | 60 | 60 | 61 | 56 | 69 | 61 | 0 | 50 | 64 | 30 | 762,500$/2yrs | |||
Brett Seney | 8 | LW | 100.00 | 60 | 50 | 71 | 58 | 54 | 65 | 61 | 58 | 54 | 60 | 60 | 61 | 54 | 61 | 58 | 0 | 50 | 63 | 27 | 750,000$/2yrs | |||
Bobby McMann | 72 | C | 100.00 | 58 | 56 | 69 | 62 | 70 | 63 | 60 | 58 | 54 | 58 | 60 | 62 | 54 | 62 | 58 | 0 | 50 | 63 | 27 | 762,500$/2yrs | |||
Cooper Marody | 18 | RW | 100.00 | 55 | 58 | 65 | 59 | 61 | 63 | 62 | 61 | 55 | 59 | 60 | 63 | 54 | 63 | 58 | 0 | 50 | 63 | 26 | 762,500$/2yrs | |||
Greg Printz | 0 | C/LW | 100.00 | 56 | 54 | 63 | 58 | 70 | 66 | 65 | 57 | 55 | 56 | 57 | 59 | 54 | 60 | 56 | 0 | 50 | 62 | 25 | 750,000$/1yrs | |||
Tristin Langan | 0 | C | 100.00 | 66 | 37 | 95 | 56 | 75 | 67 | 60 | 53 | 61 | 54 | 55 | 56 | 54 | 64 | 66 | 0 | 50 | 62 | 24 | 775,000$/1yrs | |||
Turner Ottenbreit | 0 | D | 100.00 | 56 | 54 | 64 | 58 | 65 | 66 | 64 | 56 | 40 | 56 | 56 | 63 | 54 | 62 | 57 | 0 | 50 | 62 | 26 | 750,000$/1yrs | |||
Cameron Gaunce | 0 | D | 100.00 | 56 | 54 | 64 | 58 | 64 | 64 | 63 | 56 | 40 | 56 | 55 | 61 | 54 | 74 | 64 | 0 | 50 | 62 | 33 | 750,000$/1yrs | |||
Nicolas Brouillard | 65 | D | 100.00 | 57 | 55 | 59 | 61 | 52 | 67 | 67 | 60 | 40 | 59 | 57 | 57 | 54 | 65 | 59 | 0 | 50 | 62 | 28 | 775,000$/2yrs | |||
Seth Helgeson | 0 | D | 100.00 | 57 | 54 | 60 | 57 | 71 | 68 | 67 | 55 | 40 | 56 | 54 | 60 | 54 | 74 | 64 | 0 | 50 | 62 | 32 | 775,000$/1yrs | |||
Declan Carlile | 0 | D | 100.00 | 55 | 56 | 66 | 57 | 64 | 64 | 62 | 57 | 40 | 56 | 56 | 65 | 54 | 56 | 54 | 0 | 50 | 62 | 23 | 925,000$/2yrs | |||
Kristians Rubins (R) | 9 | D | 100.00 | 55 | 54 | 66 | 57 | 74 | 64 | 62 | 55 | 40 | 55 | 55 | 61 | 54 | 62 | 57 | 0 | 50 | 61 | 25 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Kristian Reichel (R) | 88 | C | 100.00 | 55 | 57 | 67 | 59 | 62 | 64 | 63 | 57 | 55 | 56 | 56 | 60 | 55 | 60 | 56 | 0 | 50 | 61 | 25 | 775,000$/2yrs | |||
Jake Wise (R) | 0 | C | 100.00 | 51 | 51 | 65 | 51 | 58 | 51 | 51 | 51 | 52 | 51 | 51 | 58 | 51 | 54 | 51 | 0 | 50 | 55 | 23 | 750,000$/1yrs | |||
Connor Hvidston (R) | 0 | C/LW | 100.00 | 51 | 51 | 65 | 51 | 55 | 52 | 52 | 51 | 52 | 51 | 51 | 57 | 51 | 48 | 48 | 0 | 50 | 55 | 19 | 750,000$/1yrs | |||
Matthew Mackie Samoskevich (R) | 0 | C | 100.00 | 51 | 51 | 65 | 51 | 59 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 51 | 49 | 0 | 50 | 55 | 20 | 925,000$/4yrs | |||
Daniil Chayka | 0 | D | 100.00 | 51 | 51 | 65 | 53 | 59 | 62 | 60 | 52 | 38 | 52 | 52 | 53 | 51 | 51 | 49 | 0 | 50 | 56 | 20 | 880,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Taylor Gauthier | 0 | 100.00 | 54 | 56 | 56 | 64 | 63 | 52 | 64 | 56 | 54 | 54 | 56 | 51 | 48 | 0 | 50 | 58 | 22 | 925,000$/3yrs |
Jacob Kucharski | 0 | 100.00 | 51 | 51 | 51 | 68 | 57 | 51 | 51 | 51 | 52 | 55 | 62 | 55 | 51 | 0 | 50 | 54 | 24 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
Matthew Berlin | 0 | 100.00 | 67 | 52 | 52 | 80 | 58 | 63 | 52 | 68 | 62 | 52 | 53 | 52 | 52 | 0 | 50 | 61 | 25 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Haley Wickenheiser | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 45 | 5 | 0$ |
General Manager |
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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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Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Ladd | C | 37 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Bobby McMann | C | 27 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Brett Seney | LW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Cameron Gaunce | D | 33 | 750,000$ | 775,000$ | UFA | ||||||
Connor Hvidston | C/LW | 19 | 750,000$ | 750,000$ | RFA | ||||||
Cooper Marody | RW | 26 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Curtis McKenzie | C/LW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Daniil Chayka | D | 20 | 880,000$ | 880,000$ | 880,000$ | 880,000$ | RFA | ||||
Declan Carlile | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Greg Printz | C/LW | 25 | 750,000$ | 775,000$ | RFA | ||||||
Jacob Kucharski | G | 24 | 750,000$ | 750,000$ | RFA | ||||||
Jake Wise | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Kristian Reichel | C | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Kristians Rubins | D | 25 | 750,000$ | 750,000$ | RFA | ||||||
Matthew Berlin | G | 25 | 775,000$ | 775,000$ | RFA | ||||||
Matthew Mackie Samoskevich | C | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | |||
Michael Mersch | RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Nicolas Brouillard | D | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nils Aman | C | 23 | 925,000$ | 925,000$ | RFA | ||||||
Ondrej Kase | RW | 27 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Rhett Gardner | C | 27 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Seth Helgeson | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Steven Fogarty | C | 30 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Taylor Gauthier | G | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Tristin Langan | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Turner Ottenbreit | D | 26 | 750,000$ | 775,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |
---|---|
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 |
0$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | San Diego | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 39$ | 19$ | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 0$ | 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$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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