Full Scoreboard »» |
Philadelphie Philadelphie 35-36-7, 77pts · 14th in Conference 1 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 87 | 45 | 85 | 69 | 73 | 62 | 71 | 64 | 65 | 54 | 55 | 78 | 25 | 51 | 51 | 64 | 70 | 0 | 23 | 822,500$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 92 | 47 | 93 | 63 | 80 | 51 | 63 | 65 | 25 | 50 | 71 | 65 | 25 | 45 | 45 | 68 | 70 | 0 | 22 | 846,667$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 99 | 55 | 69 | 67 | 51 | 63 | 67 | 57 | 60 | 57 | 68 | 25 | 55 | 55 | 62 | 70 | 0 | 24 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 65 | 88 | 73 | 65 | 69 | 71 | 62 | 78 | 62 | 58 | 63 | 55 | 44 | 44 | 63 | 70 | 0 | 21 | 795,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 42 | 72 | 81 | 63 | 72 | 84 | 80 | 25 | 56 | 47 | 69 | 25 | 60 | 61 | 62 | 70 | 0 | 23 | 825,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 45 | 93 | 65 | 78 | 61 | 73 | 63 | 25 | 48 | 48 | 71 | 25 | 49 | 50 | 60 | 70 | 0 | 22 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 93 | 46 | 74 | 74 | 71 | 68 | 62 | 63 | 25 | 51 | 47 | 80 | 25 | 52 | 52 | 62 | 70 | 0 | 23 | 905,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 43 | 91 | 74 | 70 | 66 | 82 | 63 | 25 | 52 | 48 | 74 | 25 | 60 | 60 | 62 | 70 | 0 | 24 | 825,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 60 | 60 | 58 | 86 | 65 | 54 | 69 | 62 | 65 | 60 | 90 | 47 | 48 | 62 | 70 | 0 | 23 | 850,833$/1yrs |
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Edstrom | C/LW | 22 | 846,667$ | 846,667$ | 846,667$ | ||||||
Akira Schmid | G | 23 | 850,833$ | 850,833$ | |||||||
Benoit-Olivier Groulx | C | 23 | 822,500$ | 822,500$ | |||||||
Calen Addison | D | 23 | 825,000$ | 825,000$ | |||||||
Mason Shaw | C/LW | 24 | 775,000$ | 775,000$ | |||||||
Nikita Okhotiuk | D | 23 | 905,000$ | 905,000$ | |||||||
Pierre-Olivier Joseph | D | 24 | 825,000$ | 825,000$ | |||||||
Samuel Bolduc | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Vasili Ponomarev | C | 21 | 795,000$ | 795,000$ | 795,000$ |
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 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.400 | 10 | 19 | 29 | 0 | 1 | 17 | 43 | 74 | 8 | 66 | 245 | 379 | 484 | 38 | 72 | 31 | 128 | 57 | 22 | 5 | 22.73% | 29 | 5 | 82.76% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 55.6% | 15.2% | 87.5% | 102.7 | FUN | |
2 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 7 | 5 | 2 | 5 | 0.833 | 7 | 14 | 21 | 0 | 0 | 17 | 43 | 74 | 8 | 57 | 245 | 379 | 484 | 38 | 41 | 5 | 137 | 29 | 19 | 4 | 21.05% | 11 | 3 | 72.73% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 60.0% | 12.3% | 87.8% | 100.1 | FUN | |
3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 7 | -4 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 17 | 43 | 74 | 8 | 24 | 245 | 379 | 484 | 38 | 35 | 11 | 27 | 13 | 11 | 3 | 27.27% | 11 | 4 | 63.64% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 0.0% | 12.5% | 80.0% | 92.5 | FUN | |
4 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 17 | 43 | 74 | 8 | 47 | 245 | 379 | 484 | 38 | 29 | 10 | 31 | 16 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 50.0% | 8.5% | 82.8% | 91.3 | Unlucky | |
5 | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 1 | 8 | 8 | 1.000 | 9 | 16 | 25 | 0 | 3 | 17 | 43 | 74 | 8 | 54 | 245 | 379 | 484 | 38 | 55 | 18 | 39 | 34 | 21 | 7 | 33.33% | 12 | 0 | 100.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 66.7% | 16.7% | 98.2% | 114.8 | LUCKY | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 17 | 43 | 74 | 8 | 27 | 245 | 379 | 484 | 38 | 34 | 9 | 43 | 19 | 8 | 1 | 12.50% | 9 | 2 | 77.78% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 33.3% | 7.4% | 88.2% | 95.6 | Unlucky | |
7 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 17 | 43 | 74 | 8 | 33 | 245 | 379 | 484 | 38 | 35 | 8 | 75 | 20 | 7 | 2 | 28.57% | 8 | 2 | 75.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 50.0% | 18.2% | 82.9% | 101.0 | FUN | |
8 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 17 | 43 | 74 | 8 | 32 | 245 | 379 | 484 | 38 | 47 | 12 | 151 | 14 | 10 | 3 | 30.00% | 13 | 2 | 84.62% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 42.9% | 18.8% | 87.2% | 106.0 | FUN | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 17 | 43 | 74 | 8 | 30 | 245 | 379 | 484 | 38 | 34 | 11 | 41 | 20 | 5 | 1 | 20.00% | 13 | 3 | 76.92% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 60.0% | 13.3% | 85.3% | 98.6 | FUN | |
10 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 17 | 43 | 74 | 8 | 46 | 245 | 379 | 484 | 38 | 39 | 14 | 167 | 33 | 9 | 1 | 11.11% | 16 | 8 | 50.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 66.7% | 6.5% | 76.9% | 83.4 | Unlucky | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 17 | 43 | 74 | 8 | 24 | 245 | 379 | 484 | 38 | 37 | 14 | 58 | 16 | 4 | 1 | 25.00% | 10 | 3 | 70.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 50.0% | 8.3% | 89.2% | 97.5 | Unlucky | |
12 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 2 | 1 | 3 | 0.750 | 3 | 6 | 9 | 0 | 1 | 17 | 43 | 74 | 8 | 18 | 245 | 379 | 484 | 38 | 40 | 16 | 24 | 24 | 8 | 3 | 37.50% | 7 | 0 | 100.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 0.0% | 16.7% | 95.0% | 111.7 | LUCKY | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 17 | 43 | 74 | 8 | 18 | 245 | 379 | 484 | 38 | 25 | 8 | 39 | 16 | 6 | 2 | 33.33% | 12 | 3 | 75.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 0.0% | 11.1% | 80.0% | 91.1 | FUN | |
14 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.500 | 8 | 15 | 23 | 0 | 1 | 17 | 43 | 74 | 8 | 58 | 245 | 379 | 484 | 38 | 56 | 18 | 219 | 40 | 20 | 8 | 40.00% | 22 | 5 | 77.27% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 0.0% | 13.8% | 87.5% | 101.3 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 17 | 43 | 74 | 8 | 35 | 245 | 379 | 484 | 38 | 23 | 9 | 37 | 15 | 12 | 2 | 16.67% | 11 | 1 | 90.91% | 1 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 83.3% | 20.0% | 91.3% | 111.3 | LUCKY | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 17 | 43 | 74 | 8 | 41 | 245 | 379 | 484 | 38 | 29 | 3 | 52 | 12 | 10 | 2 | 20.00% | 11 | 1 | 90.91% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 28.6% | 9.8% | 79.3% | 89.1 | FUN | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 17 | 43 | 74 | 8 | 23 | 245 | 379 | 484 | 38 | 45 | 7 | 130 | 18 | 5 | 0 | 0.00% | 15 | 3 | 80.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 80.0% | 17.4% | 91.1% | 108.5 | Unlucky | |
18 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 6 | -4 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 17 | 43 | 74 | 8 | 24 | 245 | 379 | 484 | 38 | 28 | 8 | 41 | 24 | 7 | 2 | 28.57% | 8 | 3 | 62.50% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 0.0% | 8.3% | 78.6% | 86.9 | Unlucky | |
19 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 6 | 1.000 | 9 | 18 | 27 | 0 | 0 | 17 | 43 | 74 | 8 | 46 | 245 | 379 | 484 | 38 | 63 | 22 | 134 | 26 | 12 | 7 | 58.33% | 18 | 4 | 77.78% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 50.0% | 19.6% | 90.5% | 110.0 | FUN | |
20 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.500 | 6 | 11 | 17 | 0 | 0 | 17 | 43 | 74 | 8 | 49 | 245 | 379 | 484 | 38 | 83 | 24 | 204 | 40 | 11 | 3 | 27.27% | 17 | 4 | 76.47% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 60.0% | 12.2% | 92.8% | 105.0 | LUCKY | |
21 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 2 | 7 | -5 | 1 | 0.167 | 2 | 4 | 6 | 0 | 0 | 17 | 43 | 74 | 8 | 45 | 245 | 379 | 484 | 38 | 46 | 17 | 35 | 19 | 11 | 2 | 18.18% | 15 | 3 | 80.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 0.0% | 4.4% | 84.8% | 89.2 | Unlucky | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 17 | 43 | 74 | 8 | 32 | 245 | 379 | 484 | 38 | 18 | 4 | 24 | 24 | 11 | 3 | 27.27% | 7 | 2 | 71.43% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 50.0% | 12.5% | 83.3% | 95.8 | FUN | |
23 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 17 | 43 | 74 | 8 | 29 | 245 | 379 | 484 | 38 | 29 | 11 | 56 | 18 | 5 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 40.0% | 6.9% | 86.2% | 93.1 | Unlucky | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 17 | 43 | 74 | 8 | 33 | 245 | 379 | 484 | 38 | 26 | 8 | 135 | 23 | 7 | 2 | 28.57% | 10 | 1 | 90.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 0.0% | 6.1% | 92.3% | 98.4 | DULL | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 17 | 43 | 74 | 8 | 25 | 245 | 379 | 484 | 38 | 36 | 13 | 55 | 17 | 6 | 0 | 0.00% | 15 | 3 | 80.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 50.0% | 12.0% | 83.3% | 95.3 | FUN | |
26 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 4 | 0.500 | 4 | 8 | 12 | 0 | 1 | 17 | 43 | 74 | 8 | 59 | 245 | 379 | 484 | 38 | 38 | 14 | 157 | 43 | 17 | 1 | 5.88% | 11 | 2 | 81.82% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 60.0% | 6.8% | 89.5% | 96.3 | Unlucky | |
27 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 1 | 17 | 43 | 74 | 8 | 30 | 245 | 379 | 484 | 38 | 32 | 6 | 109 | 17 | 7 | 3 | 42.86% | 12 | 1 | 91.67% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 66.7% | 16.7% | 93.8% | 110.4 | LUCKY | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 1 | 0 | 17 | 43 | 74 | 8 | 32 | 245 | 379 | 484 | 38 | 28 | 8 | 195 | 25 | 9 | 3 | 33.33% | 10 | 3 | 70.00% | 1 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 33.3% | 12.5% | 82.1% | 94.6 | FUN | |
29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 17 | 43 | 74 | 8 | 26 | 245 | 379 | 484 | 38 | 34 | 6 | 38 | 21 | 11 | 3 | 27.27% | 9 | 0 | 100.00% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 80.0% | 26.9% | 97.1% | 124.0 | LUCKY | |
30 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 0.667 | 5 | 10 | 15 | 0 | 1 | 17 | 43 | 74 | 8 | 38 | 245 | 379 | 484 | 38 | 51 | 8 | 41 | 29 | 20 | 4 | 20.00% | 13 | 2 | 84.62% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 33.3% | 13.2% | 92.2% | 105.3 | LUCKY | |
31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 17 | 43 | 74 | 8 | 29 | 245 | 379 | 484 | 38 | 31 | 5 | 102 | 28 | 6 | 1 | 16.67% | 11 | 4 | 63.64% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 100.0% | 6.9% | 87.1% | 94.0 | Unlucky | |
_Vs Division | 19 | 8 | 6 | 0 | 1 | 0 | 1 | 0 | 32 | 39 | -7 | 20 | 0.526 | 32 | 63 | 95 | 0 | 3 | 17 | 43 | 74 | 8 | 256 | 245 | 379 | 484 | 38 | 300 | 99 | 573 | 198 | 84 | 22 | 26.19% | 94 | 19 | 79.79% | 0 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 33.3% | 12.5% | 87.0% | 99.5 | FUN | |
_Vs Conference | 40 | 14 | 19 | 0 | 2 | 2 | 1 | 2 | 68 | 73 | -5 | 38 | 0.475 | 68 | 131 | 199 | 1 | 8 | 17 | 43 | 74 | 8 | 568 | 245 | 379 | 484 | 38 | 594 | 189 | 1563 | 406 | 173 | 46 | 26.59% | 184 | 40 | 78.26% | 1 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 40.0% | 12.0% | 87.7% | 99.7 | FUN | |
_Since Last GM Reset | 78 | 28 | 36 | 0 | 6 | 4 | 1 | 3 | 141 | 147 | -6 | 77 | 0.494 | 141 | 273 | 414 | 2 | 13 | 17 | 43 | 74 | 8 | 1130 | 245 | 379 | 484 | 38 | 1219 | 358 | 2724 | 750 | 327 | 80 | 24.46% | 382 | 80 | 79.06% | 2 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 47.7% | 12.5% | 87.9% | 100.4 | FUN | |
Total | 78 | 28 | 36 | 0 | 6 | 4 | 1 | 3 | 141 | 147 | -6 | 77 | 0.494 | 141 | 273 | 414 | 2 | 13 | 17 | 43 | 74 | 8 | 1130 | 245 | 379 | 484 | 38 | 1219 | 358 | 2724 | 750 | 327 | 80 | 24.46% | 382 | 80 | 79.06% | 2 | 519 | 1005 | 51.64% | 573 | 1098 | 52.19% | 564 | 1107 | 50.95% | 1797 | 1260 | 1979 | 546 | 937 | 459 | 47.7% | 12.5% | 87.9% | 100.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 1005 |
Neutral Zone Start | 1107 |
Defensive Zone Start | 1098 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1656 |
Faceoffs Lost | 1554 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 3.1 | 9.57 |
2nd Period | 8.0 | 20.31 |
3rd Period | 14.2 | 30.68 |
Overtime | 14.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.2 | 0.64 |
2nd Period | 0.8 | 1.65 |
3rd Period | 1.7 | 2.67 |
Overtime | 1.8 | 2.83 |
Even Strenght Goal | 57 |
---|---|
PP Goal | 80 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 21 | 14 |
Lost | 14 | 22 |
Overtime Lost | 4 | 3 |
PP Attempt | 327 |
---|---|
PP Goal | 80 |
PK Attempt | 382 |
PK Goal Against | 80 |
Home | |
---|---|
Shots For | 14.5 |
Shots Against | 15.6 |
Goals For | 1.8 |
Goals Against | 1.9 |
Hits | 9.6 |
Shots Blocked | 4.6 |
Pim | 34.9 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-10-01 | @ | Providence2,Philadelphie3 | RECAP | ||
2024-10-03 | @ | Philadelphie1,Providence2 | RECAP | ||
2024-10-04 | @ | Chicago2,Philadelphie0 | RECAP | ||
2024-10-06 | @ | Charlotte3,Philadelphie2 | RECAP | ||
2024-10-08 | @ | Philadelphie2,Worchester1 (OT) | RECAP | ||
2024-10-10 | @ | Philadelphie1,Syracuse2 (OT) | RECAP | ||
2024-10-12 | @ | Philadelphie0,Charlotte1 | RECAP | ||
2024-10-14 | @ | Providence0,Philadelphie3 | RECAP | ||
2024-10-16 | @ | Hershey3,Philadelphie2 | RECAP | ||
2024-10-19 | @ | Wilke Barrie0,Philadelphie2 | RECAP | ||
2024-10-21 | @ | Philadelphie2,Bridgeport0 | RECAP | ||
2024-10-22 | @ | Philadelphie2,Hersey1 (OT) | RECAP | ||
2024-10-24 | @ | Hartford1,Philadelphie0 | RECAP | ||
2024-10-26 | @ | Philadelphie3,Peroria4 | RECAP | ||
2024-10-28 | @ | Philadelphie1,Lowell0 | RECAP | ||
2024-10-30 | @ | Bridgeport0,Philadelphie2 | RECAP | ||
2024-11-01 | @ | Grands Rapids1,Philadelphie2 | RECAP | ||
2024-11-03 | @ | Philadelphie1,Binghamton0 | RECAP | ||
2024-11-05 | @ | Houston2,Philadelphie1 (SO) | RECAP | ||
2024-11-07 | @ | Philadelphie4,Milwaukee2 | RECAP | ||
2024-11-09 | @ | Milwaukee0,Philadelphie3 | RECAP | ||
2024-11-10 | @ | Philadelphie0,Rochester3 | RECAP | ||
2024-11-11 | @ | Philadelphie4,Quad City1 | RECAP | ||
2024-11-13 | @ | Philadelphie2,Chicago0 | RECAP | ||
2024-11-15 | @ | Rochester3,Philadelphie2 (OT) | RECAP | ||
2024-11-17 | @ | Hartford2,Philadelphie3 (OT) | RECAP | ||
2024-11-18 | @ | Manitoba0,Philadelphie1 | RECAP | ||
2024-11-20 | @ | Worchester2,Philadelphie3 | RECAP | ||
2024-11-22 | @ | Philadelphie1,Manitoba4 | RECAP | ||
2024-11-24 | @ | Philadelphie0,Rocket de Laval3 | RECAP | ||
2024-11-26 | @ | Quad City0,Philadelphie3 | RECAP | ||
2024-11-28 | @ | Philadelphie3,Portland2 (OT) | RECAP | ||
2024-11-29 | @ | Philadelphie2,Iowa4 | RECAP | ||
2024-12-01 | @ | Chicago2,Philadelphie3 | RECAP | ||
2024-12-03 | @ | Philadelphie2,Bridgeport1 (SO) | RECAP | ||
2024-12-04 | @ | Bridgeport0,Philadelphie3 | RECAP | ||
2024-12-06 | @ | Chicago2,Philadelphie1 | RECAP | ||
2024-12-08 | @ | Philadelphie1,Hershey3 | RECAP | ||
2024-12-10 | @ | Toronto2,Philadelphie1 (OT) | RECAP | ||
2024-12-11 | @ | Philadelphie2,Norfolk3 | RECAP | ||
2024-12-13 | @ | Philadelphie1,Houston2 | RECAP | ||
2024-12-14 | @ | Philadelphie0,Springfield2 | RECAP | ||
2024-12-16 | @ | Manchester4,Philadelphie2 | RECAP | ||
2024-12-18 | @ | Philadelphie1,Lake Erie3 | RECAP | ||
2024-12-20 | @ | Philadelphie3,Hartford2 | RECAP | ||
2024-12-21 | @ | Portland1,Philadelphie3 | RECAP | ||
2024-12-23 | @ | Norfolk3,Philadelphie4 (OT) | RECAP | ||
2024-12-24 | @ | Philadelphie1,Rockford2 | RECAP | ||
2024-12-26 | @ | Albany2,Philadelphie3 | RECAP | ||
2024-12-28 | @ | Philadelphie0,Lowell2 | RECAP | ||
2024-12-29 | @ | Rockford0,Philadelphie4 | RECAP | ||
2024-12-31 | @ | Philadelphie1,Rochester2 | RECAP | ||
2025-01-01 | @ | Lake Erie2,Philadelphie3 | RECAP | ||
2025-01-03 | @ | Philadelphie4,Worchester3 | RECAP | ||
2025-01-04 | @ | Springfield2,Philadelphie4 | RECAP | ||
2025-01-06 | @ | Iowa1,Philadelphie0 | RECAP | ||
2025-01-07 | @ | Philadelphie2,Providence3 | RECAP | ||
2025-01-09 | @ | Philadelphie1,Albany3 | RECAP | ||
2025-01-11 | @ | Philadelphie2,Toronto0 | RECAP | ||
2025-01-12 | @ | Rocket de Laval4,Philadelphie3 (SO) | RECAP | ||
2025-01-14 | @ | Philadelphie1,Portland2 (OT) | RECAP | ||
2025-01-15 | @ | Rochester1,Philadelphie3 | RECAP | ||
2025-01-17 | @ | Philadelphie0,Syracuse3 | RECAP | ||
2025-01-18 | @ | Providence2,Philadelphie1 | RECAP | ||
2025-01-19 | @ | Philadelphie3,Chicago4 (SO) | RECAP | ||
2025-01-21 | @ | Hershey3,Philadelphie0 | RECAP | ||
2025-01-23 | @ | Hersey4,Philadelphie2 | RECAP | ||
2025-01-24 | @ | Philadelphie1,Manchester2 | RECAP | ||
2025-01-26 | @ | Philadelphie3,Wilke Barrie2 | RECAP | ||
2025-01-27 | @ | Syracuse2,Philadelphie1 | RECAP | ||
2025-01-29 | @ | Philadelphie2,Wilke Barrie3 | RECAP | ||
2025-01-31 | @ | Binghamton2,Philadelphie1 | RECAP | ||
2025-02-02 | @ | Philadelphie0,Grands Rapids3 | RECAP | ||
2025-02-03 | @ | Lowell1,Philadelphie3 | RECAP | ||
2025-02-04 | @ | Philadelphie0,Hartford1 | RECAP | ||
2025-02-07 | @ | Peroria2,Philadelphie3 (OT) | RECAP | ||
2025-02-10 | @ | Lowell1,Philadelphie0 | RECAP | ||
2025-02-13 | @ | Wilke Barrie2,Philadelphie1 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
7,445,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Philadelphie | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0 | 0 | |||
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 |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
7,445,000$ | 7,445,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
7,498,911$ | 0$ | 7,498,911$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 30 | 53,949$ | 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 |
---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie |
---|---|---|
|
|
|