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 | San Jose Barracuda 1-0-0, 2pts · 1st in Conference Ouest |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Jaret Anderson-Dolan | 0 | C/LW/RW | 100.00 | 72 | 40 | 88 | 75 | 82 | 81 | 80 | 72 | 55 | 65 | 67 | 67 | 71 | 70 | 60 | 1 | 86 | 0 | 24 | 750,000$/1yrs | |||
 Kole Lind | 0 | RW | 100.00 | 61 | 47 | 57 | 72 | 62 | 65 | 66 | 66 | 44 | 65 | 65 | 66 | 68 | 52 | 50 | 1 | 82 | 0 | 25 | 750,000$/1yrs | |||
 Isak Rosen (R) | 0 | RW | 100.00 | 54 | 40 | 74 | 70 | 54 | 55 | 56 | 64 | 43 | 62 | 57 | 52 | 64 | 50 | 50 | 1 | 82 | 0 | 21 | 925,000$/3yrs | |||
 Adam Ruzicka | 0 | LW | 100.00 | 68 | 40 | 87 | 72 | 88 | 82 | 75 | 74 | 72 | 74 | 66 | 67 | 71 | 60 | 53 | 1 | 84 | 0 | 24 | 750,000$/1yrs | |||
 Dakota Joshua | 0 | LW | 100.00 | 88 | 76 | 68 | 75 | 83 | 83 | 80 | 75 | 55 | 72 | 71 | 74 | 74 | 60 | 53 | 1 | 62 | 0 | 27 | 750,000$/1yrs | |||
| Ville Koivunen (R) | 0 | RW | 100.00 | 54 | 40 | 70 | 68 | 55 | 52 | 50 | 54 | 50 | 50 | 51 | 51 | 58 | 50 | 50 | 1 | 83 | 0 | 20 | 828,333$/3yrs | |||
| Ryan O'Rourke (R) | 0 | C | 100.00 | 63 | 40 | 73 | 70 | 62 | 60 | 61 | 60 | 40 | 54 | 50 | 67 | 60 | 50 | 50 | 1 | 82 | 0 | 21 | 750,000$/1yrs | |||
 Dante Fabbro | 0 | D | 100.00 | 75 | 51 | 70 | 79 | 78 | 85 | 85 | 76 | 40 | 69 | 63 | 81 | 73 | 70 | 60 | 1 | 82 | 0 | 25 | 2,500,000$/1yrs | |||
 Nick DeSimone | 0 | D | 100.00 | 65 | 40 | 67 | 71 | 62 | 67 | 68 | 67 | 40 | 66 | 58 | 70 | 65 | 58 | 51 | 1 | 87 | 0 | 29 | 750,000$/1yrs | |||
 Timothy Liljegren | 0 | D | 100.00 | 73 | 50 | 73 | 85 | 80 | 86 | 81 | 77 | 40 | 72 | 69 | 83 | 77 | 65 | 55 | 1 | 81 | 0 | 24 | 1,400,000$/1yrs | |||
| Ronan Seeley (R) | 0 | D | 100.00 | 54 | 40 | 75 | 70 | 61 | 57 | 58 | 63 | 40 | 62 | 54 | 60 | 62 | 50 | 50 | 1 | 57 | 0 | 21 | 810,000$/3yrs | |||
 Andreas Englund | 0 | D | 100.00 | 80 | 76 | 67 | 73 | 78 | 82 | 82 | 69 | 40 | 64 | 60 | 72 | 67 | 78 | 68 | 1 | 65 | 0 | 28 | 750,000$/2yrs | |||
 Radim Simek | 0 | D | 100.00 | 77 | 55 | 70 | 74 | 80 | 83 | 80 | 69 | 40 | 62 | 62 | 74 | 68 | 70 | 60 | 1 | 82 | 0 | 31 | 750,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yaroslav Askarov | 0 | 100.00 | 73 | 62 | 68 | 63 | 70 | 72 | 75 | 72 | 74 | 70 | 67 | 50 | 50 | 1 | 82 | 0 | 21 | 925,000$/2yrs |
| Scratches | ||||||||||||||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Curtis Sanford | 60 | 60 | 60 | 60 | 55 | 55 | 1 | CAN | 43 | 3 | 1,000,000$ |
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Kole Lind |  Barracuda (SJS) | RW | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 0 | 8 | 2 | 5 | 12.50% | 0 | 11.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 1 | 2 | 0 | 0 | 0 | 3.64 | 0 | 0 | ||
| 2 | Ryan O'Rourke | Barracuda (SJS) | C | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 1 | 0.00% | 0 | 11.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 18 | 1 | 0 | 0 | 0 | 1.82 | 0 | 0 | ||
| 3 | Isak Rosen | Barracuda (SJS) | RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 4 | 3 | 5 | 0.00% | 0 | 13.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 3 | 1 | 2 | 3 | 3 | 0 | 0 | 0 | 13 | 6 | 11 | 7.69% | 0 | 11.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 63.16% | 19 | 6 | 0 | 0 | 0 | 1.71 | 0 | 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 Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Team Total or Average | 0.000 | 0.00 | 0 | 0.000 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka  | LW | 24 | 750,000$ | 750,000$ |  RFA | ||||||
| Andreas Englund | D | 28 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
| Dakota Joshua | LW | 27 | 750,000$ | 750,000$ | UFA | ||||||
| Dante Fabbro | D | 25 | 2,500,000$ | 2,500,000$ | RFA | ||||||
| Isak Rosen | RW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
| Jaret Anderson-Dolan | C/LW/RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
| Kole Lind | RW | 25 | 750,000$ | 750,000$ | RFA | ||||||
| Nick DeSimone | D | 29 | 750,000$ | 750,000$ | UFA | ||||||
| Radim Simek | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
| Ronan Seeley | D | 21 | 810,000$ | 810,000$ | 810,000$ | 810,000$ | RFA | ||||
| Ryan O'Rourke | C | 21 | 750,000$ | 750,000$ | RFA | ||||||
| Timothy Liljegren | D | 24 | 1,400,000$ | 1,400,000$ | RFA | ||||||
| Ville Koivunen | RW | 20 | 828,333$ | 828,333$ | 828,333$ | 828,333$ | RFA | ||||
| Yaroslav Askarov | G | 21 | 925,000$ | 925,000$ | 925,000$ | RFA |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
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| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
| 1st Power Play Unit | |||||||
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| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
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| Goalies | |||||||
|---|---|---|---|---|---|---|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Heat | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 3 | 0 | 33 | 7 | 9 | 17 | 0 | 17 | 8 | 2 | 12 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 8 | 13 | 61.54% | 1 | 7 | 14.29% | 13 | 21 | 61.90% | 27 | 17 | 16 | 6 | 16 | 9 | 80.0% | 12.1% | 88.2% | 100.4 | FUN |
| _Vs Division | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 3 | 0 | 33 | 7 | 9 | 17 | 0 | 17 | 8 | 2 | 12 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 8 | 13 | 61.54% | 1 | 7 | 14.29% | 13 | 21 | 61.90% | 27 | 17 | 16 | 6 | 16 | 9 | 80.0% | 12.1% | 88.2% | 100.4 | FUN | |
| _Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 3 | 0 | 33 | 7 | 9 | 17 | 0 | 17 | 8 | 2 | 12 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 8 | 13 | 61.54% | 1 | 7 | 14.29% | 13 | 21 | 61.90% | 27 | 17 | 16 | 6 | 16 | 9 | 80.0% | 12.1% | 88.2% | 100.4 | FUN | |
| _Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 3 | 0 | 33 | 7 | 9 | 17 | 0 | 17 | 8 | 2 | 12 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 8 | 13 | 61.54% | 1 | 7 | 14.29% | 13 | 21 | 61.90% | 27 | 17 | 16 | 6 | 16 | 9 | 80.0% | 12.1% | 88.2% | 100.4 | FUN | |
| Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 3 | 0 | 33 | 7 | 9 | 17 | 0 | 17 | 8 | 2 | 12 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 8 | 13 | 61.54% | 1 | 7 | 14.29% | 13 | 21 | 61.90% | 27 | 17 | 16 | 6 | 16 | 9 | 80.0% | 12.1% | 88.2% | 100.4 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 27 |
| Neutral Zone | 16 |
| Defensive Zone | 16 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 13 |
| Neutral Zone Start | 21 |
| Defensive Zone Start | 7 |
| Puck Time | |
|---|---|
| With Puck | 33 |
| Without Puck | 26 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 22 |
| Faceoffs Lost | 19 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 7.0 | 9.57 |
| 2nd Period | 16.0 | 20.31 |
| 3rd Period | 33.0 | 30.68 |
| Overtime | 33.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.0 | 0.64 |
| 2nd Period | 1.0 | 1.65 |
| 3rd Period | 4.0 | 2.67 |
| Overtime | 4.0 | 2.83 |
| Even Strenght Goal | 4 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 1 | 0 |
| Lost | 0 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 3 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 1 |
| PK Goal Against | 1 |
| Home | |
|---|---|
| Shots For | 33.0 |
| Shots Against | 17.0 |
| Goals For | 4.0 |
| Goals Against | 2.0 |
| Hits | 12.0 |
| Shots Blocked | 8.0 |
| Pim | 2.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-04-19 | STC | VS | SJB | STC2,SJB4 | RECAP | |||||||||
| 2024-04-21 | STC | VS | SJB | |||||||||||
| 2024-04-23 | SJB | VS | STC | |||||||||||
| 2024-04-25 | SJB | VS | STC | |||||||||||
| 2024-04-27 | STC | VS | SJB | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2024-04-29 | SJB | VS | STC | |||||||||||
| 2024-05-01 | STC | VS | SJB | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,338,833$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | San Jose | |
| Capacity | 8000 | |
| Season Ticket Holders | 20% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 5000 | 3000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 4973 | 2983 | |||
| Attendance PCT | 99.46% | 99.43% | 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 |
| 40 | 7956 - 99.45% | 196,920$ | 196,920$ | 8000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,338,833$ | 1,338,833$ | 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$ | 12 | 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 |
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Rookie
Injured 
Cold Streak 
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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