![]() | San Jose Barracuda 0-0-0, 0pts · 2nd in Conference 2 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Conor Sheary | 0 | LW/RW | 100.00 | 63 | 41 | 85 | 74 | 65 | 81 | 83 | 71 | 52 | 70 | 66 | 70 | 70 | 79 | 69 | 1 | 50 | 69 | 34 | 1,300,000$/1yrs | |||
Elmer Soderblom | 0 | LW | 100.00 | 76 | 49 | 82 | 67 | 95 | 80 | 75 | 71 | 45 | 66 | 66 | 66 | 68 | 62 | 53 | 1 | 50 | 68 | 24 | ||||
John Hayden | 0 | C/RW | 100.00 | 65 | 59 | 55 | 61 | 75 | 73 | 72 | 64 | 46 | 58 | 59 | 59 | 61 | 70 | 62 | 1 | 50 | 62 | 31 | ||||
Jack Becker | 0 | C/LW/RW | 100.00 | 64 | 43 | 68 | 63 | 69 | 71 | 70 | 63 | 43 | 59 | 56 | 63 | 61 | 59 | 50 | 1 | 50 | 61 | 29 | 1,300,000$/1yrs | |||
Chris Terry | 0 | C/LW/RW | 100.00 | 52 | 43 | 69 | 62 | 60 | 67 | 66 | 63 | 43 | 60 | 57 | 52 | 61 | 75 | 68 | 1 | 50 | 60 | 37 | 1,300,000$/1yrs | |||
Nikita Pavlychev | 0 | C | 100.00 | 61 | 45 | 64 | 62 | 68 | 70 | 68 | 62 | 58 | 59 | 55 | 59 | 60 | 59 | 50 | 1 | 50 | 60 | 29 | ||||
Brandon Baddock | 0 | LW | 100.00 | 60 | 51 | 58 | 57 | 70 | 69 | 67 | 55 | 41 | 51 | 51 | 55 | 54 | 65 | 55 | 1 | 50 | 56 | 31 | ||||
Jeff Kubiak | 0 | C/LW/RW | 100.00 | 53 | 42 | 58 | 54 | 59 | 63 | 62 | 54 | 42 | 52 | 52 | 51 | 53 | 65 | 54 | 1 | 50 | 54 | 32 | ||||
Ryan Dzingel | 0 | C/LW/RW | 100.00 | 51 | 40 | 62 | 55 | 54 | 59 | 57 | 52 | 42 | 51 | 51 | 51 | 53 | 65 | 52 | 1 | 50 | 53 | 34 | 1,100,000$/1yrs | |||
Tyler Kleven | 0 | D | 100.00 | 79 | 63 | 73 | 74 | 89 | 84 | 79 | 75 | 40 | 71 | 66 | 82 | 72 | 62 | 53 | 1 | 50 | 74 | 24 | 1,600,000$/3yrs | |||
Dylan McIlrath | 0 | D | 100.00 | 67 | 65 | 68 | 65 | 88 | 78 | 76 | 65 | 40 | 60 | 59 | 66 | 63 | 85 | 76 | 1 | 50 | 68 | 34 | ||||
Henry Thrun | 0 | D | 100.00 | 64 | 49 | 72 | 69 | 75 | 75 | 70 | 67 | 40 | 64 | 58 | 70 | 65 | 56 | 50 | 1 | 50 | 66 | 25 | ||||
Calle Rosen | 0 | D | 100.00 | 56 | 42 | 72 | 70 | 62 | 73 | 72 | 67 | 40 | 64 | 60 | 68 | 66 | 65 | 55 | 1 | 50 | 64 | 32 | ||||
Michael Callahan | 0 | D | 100.00 | 64 | 42 | 70 | 67 | 64 | 67 | 65 | 61 | 40 | 57 | 52 | 68 | 60 | 54 | 50 | 1 | 50 | 62 | 26 | ||||
Cavan Fitzgerald | 0 | D | 100.00 | 56 | 44 | 65 | 66 | 63 | 68 | 66 | 61 | 40 | 54 | 56 | 63 | 61 | 59 | 52 | 1 | 50 | 60 | 29 | ||||
Taylor Fedun | 0 | D | 100.00 | 52 | 41 | 58 | 57 | 55 | 58 | 58 | 54 | 40 | 52 | 51 | 58 | 53 | 75 | 68 | 1 | 50 | 56 | 38 | ||||
Andy Welinski | 0 | D | 100.00 | 52 | 40 | 60 | 55 | 57 | 61 | 59 | 52 | 40 | 51 | 50 | 55 | 52 | 65 | 52 | 1 | 50 | 55 | 33 | 1,100,000$/1yrs | |||
Cole Krygier | 0 | D | 100.00 | 55 | 41 | 60 | 58 | 58 | 57 | 54 | 53 | 40 | 51 | 51 | 55 | 53 | 53 | 50 | 1 | 50 | 54 | 26 | 1,100,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Alex Gallant | 0 | LW | 100.00 | 53 | 64 | 51 | 62 | 59 | 70 | 69 | 54 | 41 | 51 | 50 | 52 | 55 | 68 | 59 | 1 | 50 | 56 | 33 | ||||
Cole Hutson (R) | 0 | D | 100.00 | 60 | 40 | 73 | 75 | 74 | 83 | 60 | 67 | 40 | 66 | 65 | 65 | 69 | 54 | 50 | 1 | 50 | 66 | 20 | ||||
Carter Yakemchuk (R) | 0 | D | 100.00 | 60 | 42 | 65 | 64 | 70 | 60 | 60 | 65 | 40 | 63 | 62 | 60 | 64 | 50 | 50 | 1 | 50 | 61 | 20 | ||||
Maveric Lamoureux | 0 | D | 100.00 | 66 | 47 | 61 | 64 | 71 | 63 | 61 | 62 | 40 | 59 | 54 | 65 | 60 | 50 | 50 | 1 | 50 | 61 | 22 | 886,667$/1yrs | |||
Jake Boltmann (R) | 0 | D | 100.00 | 56 | 40 | 66 | 61 | 61 | 57 | 55 | 52 | 40 | 51 | 50 | 57 | 54 | 51 | 50 | 1 | 50 | 55 | 24 | ||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dan Vladar | 0 | 100.00 | 88 | 87 | 88 | 87 | 91 | 87 | 85 | 86 | 86 | 89 | 81 | 72 | 65 | 1 | 50 | 79 | 28 | 2,700,000$/1yrs |
Jonas Johansson | 0 | 100.00 | 82 | 82 | 82 | 92 | 84 | 81 | 77 | 78 | 79 | 83 | 76 | 75 | 68 | 1 | 50 | 75 | 30 | 2,500,000$/1yrs |
| Scratches | ||||||||||||||||||||
Michael Houser | 0 | 100.00 | 66 | 65 | 60 | 65 | 64 | 63 | 64 | 61 | 63 | 63 | 67 | 65 | 58 | 1 | 50 | 59 | 33 | |
Kirill Gerasimyuk | 0 | 100.00 | 64 | 55 | 54 | 58 | 60 | 63 | 67 | 65 | 65 | 59 | 53 | 50 | 50 | 1 | 50 | 57 | 22 | |
Jesper Vikman | 0 | 100.00 | 64 | 59 | 59 | 67 | 64 | 62 | 63 | 59 | 63 | 62 | 53 | 52 | 50 | 1 | 50 | 57 | 24 | |
Jeremy Brodeur | 0 | 100.00 | 67 | 60 | 55 | 61 | 61 | 58 | 58 | 54 | 59 | 61 | 59 | 59 | 52 | 1 | 50 | 55 | 29 | 1,300,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Paul Coffey | 68 | 70 | 79 | 75 | 68 | 64 | 1 | CAN | 65 | 2 | 700,000$ |
| General Manager |
|---|
| 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 |
|---|
| 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 |
|---|
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Gallant | LW | 33 | 0$ | UFA | |||||||
| Andy Welinski | D | 33 | 1,100,000$ | 1,100,000$ | UFA | ||||||
| Brandon Baddock | LW | 31 | 0$ | UFA | |||||||
| Calle Rosen | D | 32 | 0$ | UFA | |||||||
| Carter Yakemchuk | D | 20 | 942,500$ | RFA | |||||||
| Cavan Fitzgerald | D | 29 | 0$ | UFA | |||||||
| Chris Terry | C/LW/RW | 37 | 1,300,000$ | 1,300,000$ | UFA | ||||||
| Cole Hutson | D | 20 | 940,833$ | RFA | |||||||
| Cole Krygier | D | 26 | 1,100,000$ | 1,100,000$ | |||||||
| Conor Sheary | LW/RW | 34 | 1,300,000$ | 1,300,000$ | UFA | ||||||
| Dan Vladar | G | 28 | 2,700,000$ | 2,700,000$ | UFA | ||||||
| Dylan McIlrath | D | 34 | 0$ | UFA | |||||||
| Elmer Soderblom | LW | 24 | 0$ | ||||||||
| Henry Thrun | D | 25 | 0$ | ||||||||
| Jack Becker | C/LW/RW | 29 | 1,300,000$ | 1,300,000$ | UFA | ||||||
| Jake Boltmann | D | 24 | 0$ | ||||||||
| Jeff Kubiak | C/LW/RW | 32 | 0$ | UFA | |||||||
| Jeremy Brodeur | G | 29 | 1,300,000$ | 1,300,000$ | UFA | ||||||
| Jesper Vikman | G | 24 | 0$ | ||||||||
| John Hayden | C/RW | 31 | 0$ | UFA | |||||||
| Jonas Johansson | G | 30 | 2,500,000$ | 2,500,000$ | UFA | ||||||
| Kirill Gerasimyuk | G | 22 | 975,000$ | RFA | |||||||
| Maveric Lamoureux | D | 22 | 886,667$ | 975,000$ | RFA | ||||||
| Michael Callahan | D | 26 | 0$ | ||||||||
| Michael Houser | G | 33 | 0$ | UFA | |||||||
| Nikita Pavlychev | C | 29 | 0$ | UFA | |||||||
| Ryan Dzingel | C/LW/RW | 34 | 1,100,000$ | 1,100,000$ | UFA | ||||||
| Taylor Fedun | D | 38 | 0$ | UFA | |||||||
| Tyler Kleven | D | 24 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | |
|---|---|
| Offensive Zone | 0 |
| Neutral Zone | 0 |
| Defensive Zone | 0 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | 0 |
| Without Puck | 0 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 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 |
|---|---|---|
| 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 |
|---|---|
| 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 | 0.0 |
| Shots Against | 0.0 |
| Goals For | 0.0 |
| Goals Against | 0.0 |
| Hits | 0.0 |
| Shots Blocked | 0.0 |
| Pim | 0.0 |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,627,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | San Jose | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| 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$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,627,500$ | 1,627,500$ | 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 |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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