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Wilkes-Barre Penguins 46-14-5, 97pts · 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 | 78 | 0 | 24 | 750,000$/1yrs | |||
Kevin Rooney | 0 | C | 100.00 | 60 | 50 | 69 | 62 | 64 | 69 | 69 | 60 | 55 | 57 | 52 | 60 | 58 | 65 | 55 | 1 | 80 | 0 | 30 | 1,477,000$/1yrs | |||
Benoit-Olivier Groulx | 0 | C | 100.00 | 54 | 45 | 66 | 64 | 65 | 62 | 63 | 65 | 59 | 62 | 60 | 50 | 63 | 51 | 50 | 1 | 80 | 0 | 24 | 750,000$/1yrs | |||
Dakota Mermis | 0 | D | 100.00 | 60 | 61 | 60 | 69 | 63 | 68 | 69 | 65 | 40 | 62 | 55 | 68 | 63 | 60 | 53 | 1 | 80 | 0 | 30 | 750,000$/1yrs | |||
Victor Soderstrom | 0 | D | 100.00 | 58 | 45 | 69 | 75 | 78 | 85 | 70 | 70 | 40 | 69 | 60 | 67 | 68 | 60 | 53 | 1 | 80 | 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 |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Olivier Rodrigue | Penguins (PIT) | 46 | 32 | 8 | 2 | 0.880 | 2.68 | 2620 | 2 | 1 | 117 | 978 | 500 | 0 | 0 | 0.000 | 0 | 46 | 0 | 1 | 1 | 0 |
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 | |||||||
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Defensive Pairings | |||||||
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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 | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 9 | 11 | -2 | 3 | 0.500 | 9 | 17 | 26 | 0 | 0 | 23 | 96 | 105 | 12 | 69 | 279 | 511 | 544 | 20 | 73 | 19 | 8 | 31 | 8 | 2 | 25.00% | 4 | 3 | 25.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 46.7% | 13.0% | 84.9% | 98.0 | FUN |
2 | Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 23 | 96 | 105 | 12 | 31 | 279 | 511 | 544 | 20 | 15 | 9 | 4 | 9 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 80.0% | 19.4% | 93.3% | 112.7 | LUCKY |
3 | Marlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 23 | 96 | 105 | 12 | 46 | 279 | 511 | 544 | 20 | 49 | 9 | 8 | 23 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 63.6% | 17.4% | 89.8% | 107.2 | FUN |
4 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 23 | 96 | 105 | 12 | 16 | 279 | 511 | 544 | 20 | 16 | 5 | 4 | 9 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 66.7% | 12.5% | 93.8% | 106.3 | LUCKY |
5 | Phantoms | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 23 | 96 | 105 | 12 | 37 | 279 | 511 | 544 | 20 | 34 | 8 | 12 | 29 | 5 | 2 | 40.00% | 6 | 1 | 83.33% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 71.4% | 18.9% | 91.2% | 110.1 | LUCKY |
6 | Admirals | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 23 | 96 | 105 | 12 | 48 | 279 | 511 | 544 | 20 | 46 | 16 | 12 | 26 | 5 | 3 | 60.00% | 6 | 2 | 66.67% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 60.0% | 18.8% | 87.0% | 105.7 | FUN |
7 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 1 | 23 | 96 | 105 | 12 | 43 | 279 | 511 | 544 | 20 | 39 | 11 | 10 | 23 | 4 | 3 | 75.00% | 5 | 1 | 80.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 66.7% | 16.3% | 92.3% | 108.6 | LUCKY |
8 | Bears | 5 | 2 | 0 | 0 | 3 | 0 | 0 | 0 | 21 | 13 | 8 | 10 | 1.000 | 21 | 42 | 63 | 0 | 0 | 23 | 96 | 105 | 12 | 129 | 279 | 511 | 544 | 20 | 112 | 38 | 22 | 52 | 10 | 5 | 50.00% | 11 | 7 | 36.36% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 72.7% | 16.3% | 88.4% | 104.7 | FUN |
9 | Americans | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 23 | 96 | 105 | 12 | 34 | 279 | 511 | 544 | 20 | 35 | 7 | 8 | 27 | 3 | 2 | 66.67% | 4 | 2 | 50.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 66.7% | 17.6% | 88.6% | 106.2 | FUN |
10 | Rocket | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 23 | 96 | 105 | 12 | 17 | 279 | 511 | 544 | 20 | 26 | 13 | 4 | 16 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 50.0% | 5.9% | 92.3% | 98.2 | DULL |
11 | Stars | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 23 | 96 | 105 | 12 | 50 | 279 | 511 | 544 | 20 | 27 | 10 | 4 | 33 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 1 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 75.0% | 16.0% | 92.6% | 108.6 | LUCKY |
12 | Wolfes | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 1.000 | 11 | 22 | 33 | 0 | 0 | 23 | 96 | 105 | 12 | 56 | 279 | 511 | 544 | 20 | 43 | 20 | 15 | 28 | 6 | 4 | 66.67% | 5 | 2 | 60.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 50.0% | 19.6% | 79.1% | 98.7 | FUN |
13 | Heat | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 23 | 96 | 105 | 12 | 48 | 279 | 511 | 544 | 20 | 38 | 8 | 6 | 36 | 5 | 4 | 80.00% | 3 | 2 | 33.33% | 1 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 37.5% | 14.6% | 81.6% | 96.2 | FUN |
14 | Devils | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 1.000 | 10 | 20 | 30 | 0 | 0 | 23 | 96 | 105 | 12 | 38 | 279 | 511 | 544 | 20 | 75 | 24 | 6 | 16 | 5 | 3 | 60.00% | 3 | 2 | 33.33% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 53.8% | 26.3% | 89.3% | 115.6 | FUN |
15 | IceHogs | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 8 | 1.000 | 12 | 23 | 35 | 0 | 0 | 23 | 96 | 105 | 12 | 64 | 279 | 511 | 544 | 20 | 74 | 31 | 14 | 56 | 8 | 4 | 50.00% | 7 | 2 | 71.43% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 57.1% | 18.8% | 89.2% | 107.9 | FUN |
16 | Checkers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 23 | 96 | 105 | 12 | 38 | 279 | 511 | 544 | 20 | 41 | 12 | 8 | 32 | 4 | 3 | 75.00% | 4 | 3 | 25.00% | 1 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 27.3% | 15.8% | 73.2% | 89.0 | FUN |
17 | Reign | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 23 | 96 | 105 | 12 | 41 | 279 | 511 | 544 | 20 | 32 | 8 | 6 | 31 | 7 | 3 | 42.86% | 3 | 2 | 33.33% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 54.5% | 22.0% | 78.1% | 100.1 | FUN |
18 | Moose | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 23 | 96 | 105 | 12 | 12 | 279 | 511 | 544 | 20 | 32 | 12 | 4 | 7 | 3 | 3 | 100.00% | 2 | 0 | 100.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 25.0% | 33.3% | 90.6% | 124.0 | FUN |
19 | Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 23 | 96 | 105 | 12 | 12 | 279 | 511 | 544 | 20 | 27 | 17 | 4 | 15 | 1 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 25.0% | 8.3% | 81.5% | 89.8 | Unlucky |
20 | Monsters | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 21 | -14 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 23 | 96 | 105 | 12 | 68 | 279 | 511 | 544 | 20 | 125 | 39 | 51 | 26 | 4 | 0 | 0.00% | 18 | 11 | 38.89% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 41.2% | 10.3% | 83.2% | 93.5 | FUN |
21 | Thunderbirds | 5 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 13 | 9 | 9 | 0.900 | 22 | 41 | 63 | 0 | 0 | 23 | 96 | 105 | 12 | 96 | 279 | 511 | 544 | 20 | 119 | 37 | 22 | 67 | 12 | 4 | 33.33% | 11 | 4 | 63.64% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 66.7% | 22.9% | 89.1% | 112.0 | FUN |
22 | Roadrunners | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 23 | 96 | 105 | 12 | 43 | 279 | 511 | 544 | 20 | 48 | 20 | 12 | 27 | 2 | 1 | 50.00% | 6 | 2 | 66.67% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 55.6% | 14.0% | 87.5% | 101.5 | FUN |
23 | Senators | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 23 | 96 | 105 | 12 | 55 | 279 | 511 | 544 | 20 | 30 | 3 | 12 | 21 | 4 | 3 | 75.00% | 6 | 2 | 66.67% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 61.5% | 20.0% | 76.7% | 96.7 | FUN |
24 | Condors | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 23 | 96 | 105 | 12 | 38 | 279 | 511 | 544 | 20 | 43 | 11 | 24 | 36 | 5 | 4 | 80.00% | 12 | 1 | 91.67% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 37.5% | 18.4% | 86.0% | 104.5 | FUN |
25 | Bruins | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 17 | 26 | 0 | 0 | 23 | 96 | 105 | 12 | 59 | 279 | 511 | 544 | 20 | 66 | 23 | 18 | 29 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 1 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 61.5% | 15.3% | 89.4% | 104.6 | FUN |
26 | Griffins | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 23 | 96 | 105 | 12 | 44 | 279 | 511 | 544 | 20 | 45 | 28 | 12 | 23 | 5 | 3 | 60.00% | 6 | 3 | 50.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 50.0% | 15.9% | 84.4% | 100.4 | FUN |
27 | Crunch | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 23 | 96 | 105 | 12 | 34 | 279 | 511 | 544 | 20 | 52 | 26 | 4 | 15 | 6 | 5 | 83.33% | 2 | 1 | 50.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 50.0% | 20.6% | 94.2% | 114.8 | LUCKY |
28 | Barracuda | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 12 | 0 | 4 | 0.667 | 12 | 23 | 35 | 0 | 0 | 23 | 96 | 105 | 12 | 67 | 279 | 511 | 544 | 20 | 86 | 37 | 21 | 38 | 5 | 1 | 20.00% | 8 | 5 | 37.50% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 61.1% | 17.9% | 86.0% | 104.0 | FUN |
29 | Wolf Pack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 23 | 96 | 105 | 12 | 21 | 279 | 511 | 544 | 20 | 48 | 13 | 6 | 20 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 40.0% | 19.0% | 93.8% | 112.8 | LUCKY |
_Vs Division | 19 | 12 | 2 | 0 | 6 | 2 | 0 | 0 | 71 | 48 | 23 | 38 | 1.000 | 71 | 129 | 200 | 0 | 0 | 23 | 96 | 105 | 12 | 385 | 279 | 511 | 544 | 20 | 422 | 146 | 88 | 221 | 44 | 19 | 43.18% | 44 | 16 | 63.64% | 1 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 61.9% | 18.4% | 88.6% | 107.1 | FUN | |
_Vs Conference | 35 | 17 | 8 | 0 | 8 | 2 | 0 | 0 | 129 | 110 | 19 | 52 | 0.743 | 129 | 244 | 373 | 0 | 0 | 23 | 96 | 105 | 12 | 731 | 279 | 511 | 544 | 20 | 859 | 262 | 187 | 384 | 76 | 34 | 44.74% | 86 | 39 | 54.65% | 2 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 57.2% | 17.6% | 87.2% | 104.8 | FUN | |
_Since Last GM Reset | 65 | 34 | 14 | 0 | 12 | 5 | 0 | 0 | 236 | 194 | 42 | 97 | 0.746 | 236 | 445 | 681 | 0 | 1 | 23 | 96 | 105 | 12 | 1354 | 279 | 511 | 544 | 20 | 1496 | 514 | 341 | 801 | 143 | 70 | 48.95% | 158 | 64 | 59.49% | 4 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 56.1% | 17.4% | 87.0% | 104.5 | FUN | |
Total | 65 | 34 | 14 | 0 | 12 | 5 | 0 | 0 | 236 | 194 | 42 | 97 | 0.746 | 236 | 445 | 681 | 0 | 1 | 23 | 96 | 105 | 12 | 1354 | 279 | 511 | 544 | 20 | 1496 | 514 | 341 | 801 | 143 | 70 | 48.95% | 158 | 64 | 59.49% | 4 | 382 | 772 | 49.48% | 464 | 999 | 46.45% | 588 | 1218 | 48.28% | 1431 | 869 | 1432 | 553 | 1063 | 528 | 56.1% | 17.4% | 87.0% | 104.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 772 |
Neutral Zone Start | 1218 |
Defensive Zone Start | 999 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1434 |
Faceoffs Lost | 1555 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.3 | 9.57 |
2nd Period | 12.2 | 20.31 |
3rd Period | 20.5 | 30.68 |
Overtime | 20.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 162 |
---|---|
PP Goal | 70 |
PK Goal | 4 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 23 | 23 |
Lost | 8 | 6 |
Overtime Lost | 2 | 3 |
PP Attempt | 143 |
---|---|
PP Goal | 70 |
PK Attempt | 158 |
PK Goal Against | 64 |
Home | |
---|---|
Shots For | 20.8 |
Shots Against | 23.0 |
Goals For | 3.6 |
Goals Against | 3.0 |
Hits | 12.3 |
Shots Blocked | 7.9 |
Pim | 5.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-07 | WBS | VS | SPR | WBS7,SPR1 | RECAP | |||||||||
2023-10-11 | RFD | VS | WBS | RFD1,WBS2 | RECAP | |||||||||
2023-10-16 | PRO | VS | WBS | PRO3,WBS5 | RECAP | |||||||||
2023-10-18 | WBS | VS | PRO | WBS3,PRO1 | RECAP | |||||||||
2023-10-21 | WBS | VS | ONT | WBS1,ONT4 | RECAP | |||||||||
2023-10-23 | BEL | VS | WBS | BEL3,WBS5 | RECAP | |||||||||
2023-10-26 | HER | VS | WBS | HER4,WBS5 (OT) | RECAP | |||||||||
2023-10-28 | WBS | VS | BEL | WBS6,BEL4 | RECAP | |||||||||
2023-11-01 | WBS | VS | SDG | WBS3,SDG2 (OT) | RECAP | |||||||||
2023-11-04 | SJB | VS | WBS | SJB5,WBS7 | RECAP | |||||||||
2023-11-07 | WBS | VS | CLE | WBS1,CLE7 | RECAP | |||||||||
2023-11-09 | WBS | VS | LEV | WBS4,LEV2 | RECAP | |||||||||
2023-11-12 | BKS | VS | WBS | BKS5,WBS4 (OT) | RECAP | |||||||||
2023-11-16 | SPR | VS | WBS | SPR2,WBS4 | RECAP | |||||||||
2023-11-18 | WBS | VS | HER | WBS3,HER2 (OT) | RECAP | |||||||||
2023-11-23 | HER | VS | WBS | HER1,WBS5 | RECAP | |||||||||
2023-11-25 | WBS | VS | RFD | WBS3,RFD2 (OT) | RECAP | |||||||||
2023-11-27 | WBS | VS | LEV | WBS3,LEV1 | RECAP | |||||||||
2023-11-29 | HER | VS | WBS | HER3,WBS4 | RECAP | |||||||||
2023-12-04 | UTI | VS | WBS | UTI1,WBS2 | RECAP | |||||||||
2023-12-10 | SJB | VS | WBS | SJB2,WBS3 | RECAP | |||||||||
2023-12-14 | TUC | VS | WBS | TUC2,WBS3 (OT) | RECAP | |||||||||
2023-12-16 | WBS | VS | STC | WBS4,STC3 | RECAP | |||||||||
2023-12-19 | WBS | VS | HAR | WBS3,HAR1 | RECAP | |||||||||
2023-12-21 | CLE | VS | WBS | CLE5,WBS3 | RECAP | |||||||||
2023-12-26 | WBS | VS | SDG | WBS5,SDG6 (OT) | RECAP | |||||||||
2023-12-27 | MAR | VS | WBS | MAR1,WBS5 | RECAP | |||||||||
2024-01-01 | LAV | VS | WBS | LAV2,WBS1 | RECAP | |||||||||
2024-01-03 | WBS | VS | CLE | WBS3,CLE9 | RECAP | |||||||||
2024-01-06 | EAG | VS | WBS | EAG1,WBS6 | RECAP | |||||||||
2024-01-08 | WBS | VS | BGP | WBS4,BGP3 | RECAP | |||||||||
2024-01-10 | WBS | VS | MAR | WBS3,MAR4 | RECAP | |||||||||
2024-01-12 | WBS | VS | WFS | WBS4,WFS3 | RECAP | |||||||||
2024-01-13 | PRO | VS | WBS | PRO3,WBS1 | RECAP | |||||||||
2024-01-16 | WBS | VS | SPR | WBS3,SPR2 (OT) | RECAP | |||||||||
2024-01-18 | SYR | VS | WBS | SYR1,WBS4 | RECAP | |||||||||
2024-01-20 | WBS | VS | CHA | WBS4,CHA5 | RECAP | |||||||||
2024-01-25 | MAN | VS | WBS | MAN3,WBS4 | RECAP | |||||||||
2024-01-30 | RFD | VS | WBS | RFD2,WBS3 | RECAP | |||||||||
2024-02-04 | IOW | VS | WBS | IOW5,WBS1 | RECAP | |||||||||
2024-02-06 | WBS | VS | BKS | WBS3,BKS1 | RECAP | |||||||||
2024-02-09 | BGP | VS | WBS | BGP0,WBS3 | RECAP | |||||||||
2024-02-11 | WBS | VS | Ame | WBS2,Ame1 (OT) | RECAP | |||||||||
2024-02-14 | WBS | VS | TEX | WBS4,TEX1 | RECAP | |||||||||
2024-02-16 | WBS | VS | HER | WBS4,HER3 (OT) | RECAP | |||||||||
2024-02-18 | SDG | VS | WBS | SDG3,WBS1 | RECAP | |||||||||
2024-02-20 | WBS | VS | SYR | WBS3,SYR2 | RECAP | |||||||||
2024-02-22 | CHA | VS | WBS | CHA6,WBS2 | RECAP | |||||||||
2024-02-26 | WBS | VS | BNG | WBS6,BNG5 (OT) | RECAP | |||||||||
2024-02-27 | SPR | VS | WBS | SPR4,WBS3 (OT) | RECAP | |||||||||
2024-03-02 | WBS | VS | MIL | WBS5,MIL4 (OT) | RECAP | |||||||||
2024-03-03 | MIL | VS | WBS | MIL2,WBS4 | RECAP | |||||||||
2024-03-06 | WBS | VS | SPR | WBS5,SPR4 | RECAP | |||||||||
2024-03-08 | BNG | VS | WBS | BNG3,WBS4 (OT) | RECAP | |||||||||
2024-03-12 | WBS | VS | Ame | WBS4,Ame3 | RECAP | |||||||||
2024-03-13 | GRG | VS | WBS | GRG2,WBS3 | RECAP | |||||||||
2024-03-18 | WBS | VS | GRG | WBS4,GRG5 (OT) | RECAP | |||||||||
2024-03-19 | WFS | VS | WBS | WFS6,WBS7 (OT) | RECAP | |||||||||
2024-03-22 | WBS | VS | TUC | WBS3,TUC4 (OT) | RECAP | |||||||||
2024-03-24 | RFD | VS | WBS | RFD3,WBS4 | RECAP | |||||||||
2024-03-28 | HAR | VS | WBS | HAR2,WBS1 | RECAP | |||||||||
2024-03-30 | WBS | VS | SJB | WBS2,SJB5 | RECAP | |||||||||
2024-04-01 | WBS | VS | ONT | WBS8,ONT3 | RECAP | |||||||||
2024-04-02 | TEX | VS | WBS | TEX1,WBS4 | RECAP | |||||||||
2024-04-07 | STC | VS | WBS | STC4,WBS3 | RECAP | |||||||||
2024-04-10 | WBS | VS | PRO | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-04-12 | WBS | VS | RFD | |||||||||||
2024-04-14 | SDG | VS | WBS | |||||||||||
2024-04-16 | WBS | VS | EAG | |||||||||||
2024-04-19 | BEL | VS | WBS | |||||||||||
2024-04-21 | WBS | VS | LAV | |||||||||||
2024-04-24 | WBS | VS | UTI | |||||||||||
2024-04-25 | BKS | VS | WBS | |||||||||||
2024-04-30 | ONT | VS | WBS | |||||||||||
2024-05-02 | WBS | VS | IOW | |||||||||||
2024-05-07 | Ame | VS | WBS | |||||||||||
2024-05-09 | WBS | VS | BEL | |||||||||||
2024-05-11 | Ame | VS | WBS | |||||||||||
2024-05-16 | LEV | VS | WBS | |||||||||||
2024-05-22 | LEV | VS | WBS | |||||||||||
2024-05-24 | WBS | VS | MAN | |||||||||||
2024-05-26 | WBS | VS | IOW |
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 - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 3000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 140459 | 82734 | |||
Attendance PCT | 85.13% | 83.57% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
8 | 6763 - 84.54% | 167,920$ | 5,541,370$ | 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 |
---|---|---|---|
1,063,723$ | 0$ | 280,736$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,343,362$ | 57 | 6,528$ | 332,928$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
332,928$ | 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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