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 | Wilkes-Barre Penguins 4-0-0, 8pts · 2nd in Conference Est |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Jack Drury (R) | 0 | C | 100.00 | 59 | 45 | 79 | 75 | 76 | 81 | 68 | 71 | 80 | 66 | 62 | 67 | 69 | 58 | 50 | 1 | 86 | 0 | 24 | 750,000$/1yrs | |||
 Kevin Rooney | 0 | C | 100.00 | 60 | 50 | 69 | 62 | 64 | 69 | 69 | 60 | 55 | 57 | 52 | 60 | 58 | 65 | 55 | 1 | 84 | 0 | 30 | 1,477,000$/1yrs | |||
 Benoit-Olivier Groulx | 0 | C | 100.00 | 54 | 45 | 66 | 64 | 65 | 62 | 63 | 65 | 59 | 62 | 60 | 50 | 63 | 51 | 50 | 1 | 84 | 0 | 24 | 750,000$/1yrs | |||
 Dakota Mermis | 0 | D | 100.00 | 60 | 61 | 60 | 69 | 63 | 68 | 69 | 65 | 40 | 62 | 55 | 68 | 63 | 60 | 53 | 1 | 84 | 0 | 30 | 750,000$/1yrs | |||
 Victor Soderstrom | 0 | D | 100.00 | 58 | 45 | 69 | 75 | 78 | 85 | 70 | 70 | 40 | 69 | 60 | 67 | 68 | 60 | 53 | 1 | 84 | 0 | 23 | 863,333$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Scratches | ||||||||||||||||||||
 Olivier Rodrigue | 0 | 100.00 | 72 | 62 | 64 | 56 | 65 | 67 | 71 | 68 | 69 | 67 | 54 | 50 | 50 | 1 | 59 | 0 | 23 | 750,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Chris Taylor | 60 | 60 | 60 | 60 | 55 | 55 | 1 | CAN | 51 | 1 | 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 |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Benoit-Olivier Groulx  | C | 24 | 750,000$ | 750,000$ |  RFA | ||||||
| Dakota Mermis | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
| Jack Drury | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
| Kevin Rooney | C | 30 | 1,477,000$ | 1,477,000$ | UFA | ||||||
| Olivier Rodrigue | G | 23 | 750,000$ | 750,000$ | RFA | ||||||
| Victor Soderstrom | D | 23 | 863,333$ | 863,333$ | RFA |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
| 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 |  Gulls | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 8 | 1.000 | 19 | 32 | 51 | 0 | 0 | 1 | 12 | 6 | 0 | 57 | 12 | 31 | 14 | 0 | 82 | 18 | 16 | 62 | 12 | 5 | 41.67% | 8 | 4 | 50.00% | 0 | 16 | 42 | 38.10% | 31 | 58 | 53.45% | 39 | 83 | 46.99% | 78 | 42 | 91 | 38 | 70 | 34 | 70.0% | 33.3% | 87.8% | 121.1 | FUN |
| _Vs Conference | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 8 | 1.000 | 19 | 32 | 51 | 0 | 0 | 1 | 12 | 6 | 0 | 57 | 12 | 31 | 14 | 0 | 82 | 18 | 16 | 62 | 12 | 5 | 41.67% | 8 | 4 | 50.00% | 0 | 16 | 42 | 38.10% | 31 | 58 | 53.45% | 39 | 83 | 46.99% | 78 | 42 | 91 | 38 | 70 | 34 | 70.0% | 33.3% | 87.8% | 121.1 | FUN | |
| _Since Last GM Reset | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 8 | 1.000 | 19 | 32 | 51 | 0 | 0 | 1 | 12 | 6 | 0 | 57 | 12 | 31 | 14 | 0 | 82 | 18 | 16 | 62 | 12 | 5 | 41.67% | 8 | 4 | 50.00% | 0 | 16 | 42 | 38.10% | 31 | 58 | 53.45% | 39 | 83 | 46.99% | 78 | 42 | 91 | 38 | 70 | 34 | 70.0% | 33.3% | 87.8% | 121.1 | FUN | |
| Total | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 8 | 1.000 | 19 | 32 | 51 | 0 | 0 | 1 | 12 | 6 | 0 | 57 | 12 | 31 | 14 | 0 | 82 | 18 | 16 | 62 | 12 | 5 | 41.67% | 8 | 4 | 50.00% | 0 | 16 | 42 | 38.10% | 31 | 58 | 53.45% | 39 | 83 | 46.99% | 78 | 42 | 91 | 38 | 70 | 34 | 70.0% | 33.3% | 87.8% | 121.1 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 19 |
| Neutral Zone | 17 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 42 |
| Neutral Zone Start | 83 |
| Defensive Zone Start | 58 |
| Puck Time | |
|---|---|
| With Puck | 28 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 86 |
| Faceoffs Lost | 97 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.0 | 9.57 |
| 2nd Period | 10.8 | 20.31 |
| 3rd Period | 14.3 | 30.68 |
| Overtime | 14.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.3 | 0.64 |
| 2nd Period | 3.3 | 1.65 |
| 3rd Period | 4.8 | 2.67 |
| Overtime | 4.8 | 2.83 |
| Even Strenght Goal | 14 |
|---|---|
| PP Goal | 5 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 2 | 2 |
| Lost | 0 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 12 |
|---|---|
| PP Goal | 5 |
| PK Attempt | 8 |
| PK Goal Against | 4 |
| Home | |
|---|---|
| Shots For | 14.3 |
| Shots Against | 20.5 |
| Goals For | 4.8 |
| Goals Against | 2.5 |
| Hits | 15.5 |
| Shots Blocked | 4.5 |
| Pim | 4.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-04-18 | SDG | VS | WBS | SDG3,WBS5 | RECAP | |||||||||
| 2024-04-20 | SDG | VS | WBS | SDG2,WBS6 | RECAP | |||||||||
| 2024-04-22 | WBS | VS | SDG | WBS3,SDG2 | RECAP | |||||||||
| 2024-04-24 | WBS | VS | SDG | WBS5,SDG3 | RECAP | |||||||||
| 2024-05-02 |  LEV | VS | WBS | |||||||||||
| 2024-05-04 | LEV | VS | WBS | |||||||||||
| 2024-05-06 | WBS | VS | LEV | |||||||||||
| 2024-05-08 | WBS | VS | LEV | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2024-05-10 | LEV | VS | WBS | |||||||||||
| 2024-05-12 | WBS | VS | LEV | |||||||||||
| 2024-05-14 | LEV | VS | WBS | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 534,033$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Wilkes-Barre | |
| Capacity | 8000 | |
| Season Ticket Holders | 20% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 5000 | 3000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 9276 | 5459 | |||
| Attendance PCT | 92.76% | 90.98% | 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 |
| 39 | 7368 - 92.09% | 182,946$ | 365,891$ | 8000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 534,033$ | 534,033$ | 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$ | 14 | 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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