|
|
|
|
|
|
|
Full Scoreboard »» |
![]() | Lehigh Valley Phantoms 17-12-1, 35pts · 8th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Juha Jaaska | 0 | LW | 98.00 | 61 | 43 | 69 | 67 | 74 | 71 | 59 | 63 | 49 | 62 | 59 | 62 | 63 | 51 | 50 | 1 | 50 | 61 | 27 | 1,000,000$/2yrs | |||
Cole Reinhardt | 0 | LW | 100.00 | 64 | 46 | 62 | 65 | 67 | 66 | 64 | 63 | 43 | 61 | 56 | 62 | 61 | 53 | 50 | 1 | 50 | 60 | 25 | 1,500,000$/3yrs | |||
Max McCormick | 0 | LW | 98.00 | 56 | 44 | 67 | 65 | 60 | 69 | 68 | 62 | 44 | 57 | 58 | 58 | 61 | 68 | 64 | 1 | 50 | 60 | 33 | 975,000$/3yrs | |||
Lukas Rousek | 0 | RW | 98.00 | 56 | 43 | 69 | 66 | 60 | 68 | 67 | 62 | 44 | 65 | 54 | 59 | 61 | 54 | 50 | 1 | 50 | 60 | 26 | 975,000$/3yrs | |||
Dylan Roobroeck | 0 | C | 98.00 | 64 | 42 | 64 | 62 | 67 | 60 | 58 | 62 | 42 | 58 | 60 | 59 | 61 | 50 | 50 | 1 | 50 | 59 | 20 | 1,000,000$/2yrs | |||
Curtis Douglas | 0 | C | 98.00 | 70 | 63 | 52 | 55 | 77 | 66 | 65 | 61 | 59 | 58 | 54 | 59 | 57 | 53 | 50 | 1 | 50 | 59 | 25 | 1,250,000$/1yrs | |||
Chase Wouters | 0 | C | 100.00 | 58 | 48 | 63 | 65 | 62 | 68 | 66 | 62 | 59 | 60 | 55 | 58 | 61 | 53 | 50 | 1 | 50 | 59 | 25 | 950,000$/1yrs | |||
Jordan Martel | 0 | RW | 98.00 | 58 | 40 | 66 | 61 | 61 | 62 | 60 | 56 | 40 | 53 | 54 | 57 | 57 | 53 | 50 | 1 | 50 | 56 | 27 | 1,000,000$/2yrs | |||
Riley Hughes (R) | 0 | C/LW/RW | 100.00 | 59 | 41 | 67 | 59 | 62 | 62 | 60 | 57 | 40 | 54 | 54 | 55 | 57 | 52 | 50 | 1 | 50 | 56 | 25 | 975,000$/1yrs | |||
Steven Santini | 0 | D | 98.00 | 62 | 42 | 72 | 65 | 65 | 71 | 70 | 63 | 40 | 57 | 56 | 67 | 62 | 63 | 55 | 1 | 50 | 63 | 30 | 3,000,000$/2yrs | |||
Wyatte Wylie | 0 | D | 100.00 | 60 | 42 | 72 | 66 | 63 | 66 | 64 | 61 | 40 | 55 | 54 | 65 | 61 | 53 | 50 | 1 | 50 | 61 | 25 | 1,250,000$/1yrs | |||
Grant Hutton | 0 | D | 100.00 | 60 | 43 | 68 | 61 | 68 | 67 | 65 | 58 | 40 | 54 | 51 | 62 | 57 | 59 | 52 | 1 | 50 | 60 | 29 | 1,000,000$/2yrs | |||
Seth Helgeson | 0 | D | 100.00 | 58 | 46 | 62 | 58 | 69 | 69 | 68 | 55 | 40 | 51 | 51 | 59 | 54 | 70 | 62 | 1 | 50 | 59 | 34 | 975,000$/3yrs | |||
Djibril Touré | 0 | D | 100.00 | 63 | 44 | 60 | 62 | 67 | 60 | 58 | 57 | 40 | 54 | 55 | 63 | 58 | 50 | 50 | 1 | 50 | 59 | 22 | 1,000,000$/2yrs | |||
Ryan Jones | 0 | D | 100.00 | 61 | 42 | 68 | 60 | 67 | 67 | 64 | 56 | 40 | 52 | 50 | 62 | 55 | 59 | 50 | 1 | 50 | 59 | 29 | 975,000$/3yrs | |||
Grant Gabriele | 0 | D | 100.00 | 60 | 40 | 69 | 62 | 64 | 64 | 62 | 53 | 40 | 51 | 51 | 62 | 55 | 56 | 50 | 1 | 50 | 58 | 28 | 1,000,000$/2yrs | |||
Jeremie Bucheler | 0 | D | 100.00 | 63 | 40 | 69 | 60 | 68 | 62 | 59 | 55 | 40 | 51 | 51 | 61 | 56 | 52 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/2yrs | |||
Joe Arntsen | 0 | D | 100.00 | 62 | 41 | 66 | 61 | 65 | 58 | 57 | 55 | 40 | 53 | 54 | 61 | 57 | 50 | 50 | 1 | 50 | 58 | 22 | 1,000,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Stefan Matteau | 0 | LW | 100.00 | 58 | 41 | 67 | 58 | 64 | 65 | 63 | 55 | 40 | 51 | 51 | 54 | 55 | 64 | 58 | 1 | 50 | 56 | 31 | 1,200,000$/1yrs | |||
Josh Prokop | 0 | RW | 100.00 | 58 | 40 | 62 | 61 | 61 | 61 | 58 | 55 | 40 | 54 | 54 | 56 | 57 | 52 | 50 | 1 | 50 | 56 | 25 | 1,000,000$/2yrs | |||
Keaton Mastrodonato | 0 | C/LW/RW | 100.00 | 61 | 40 | 69 | 60 | 65 | 61 | 58 | 55 | 40 | 51 | 52 | 54 | 55 | 52 | 50 | 1 | 50 | 55 | 24 | 1,000,000$/2yrs | |||
Sam Bitten | 0 | C/LW/RW | 100.00 | 61 | 55 | 56 | 59 | 66 | 65 | 63 | 56 | 40 | 52 | 52 | 53 | 55 | 52 | 50 | 1 | 50 | 55 | 25 | 975,000$/4yrs | |||
Connor Kurth (R) | 0 | RW | 100.00 | 62 | 40 | 62 | 59 | 63 | 58 | 56 | 54 | 40 | 54 | 53 | 57 | 55 | 50 | 50 | 1 | 50 | 55 | 21 | 975,000$/1yrs | |||
Jackson van de Leest | 0 | D | 79.71 | 67 | 40 | 66 | 58 | 75 | 61 | 58 | 53 | 40 | 51 | 51 | 64 | 54 | 52 | 50 | 1 | 50 | 59 | 24 | 1,000,000$/2yrs | |||
Joe Fleming | 0 | D | 100.00 | 62 | 49 | 56 | 62 | 64 | 60 | 58 | 57 | 40 | 54 | 53 | 62 | 57 | 50 | 50 | 1 | 50 | 58 | 22 | 1,000,000$/2yrs | |||
Noah Warren (R) | 0 | D | 100.00 | 64 | 42 | 64 | 58 | 69 | 58 | 57 | 58 | 40 | 54 | 53 | 59 | 56 | 50 | 50 | 1 | 50 | 58 | 20 | 865,000$/2yrs | |||
Dyllan Gill | 0 | D | 100.00 | 59 | 40 | 67 | 62 | 61 | 59 | 57 | 57 | 40 | 54 | 55 | 59 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 1,000,000$/2yrs | |||
Filip Král | 0 | D | 100.00 | 53 | 42 | 63 | 60 | 60 | 61 | 60 | 59 | 40 | 57 | 54 | 56 | 57 | 52 | 50 | 1 | 50 | 57 | 25 | 1,000,000$/2yrs | |||
Jeremie Biakabutuka | 0 | D | 100.00 | 61 | 40 | 66 | 60 | 64 | 59 | 57 | 55 | 40 | 54 | 53 | 59 | 56 | 51 | 50 | 1 | 50 | 57 | 23 | 1,000,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Malcolm Subban | 0 | 100.00 | 68 | 70 | 72 | 68 | 69 | 67 | 69 | 66 | 67 | 69 | 69 | 65 | 58 | 1 | 50 | 63 | 31 | 4,000,000$/1yrs |
Felix Sandström | 0 | 100.00 | 73 | 66 | 65 | 66 | 68 | 67 | 68 | 66 | 67 | 69 | 61 | 57 | 51 | 1 | 50 | 62 | 28 | 975,000$/3yrs |
| Scratches | ||||||||||||||||||||
Jaxon Castor | 0 | 100.00 | 62 | 59 | 57 | 63 | 60 | 57 | 57 | 54 | 58 | 59 | 57 | 55 | 51 | 1 | 50 | 54 | 28 | 975,000$/3yrs |
Jordan Papirny | 0 | 100.00 | 68 | 60 | 55 | 59 | 60 | 57 | 57 | 52 | 58 | 61 | 59 | 59 | 52 | 1 | 50 | 54 | 29 | 1,000,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Joe Sacco | 88 | 79 | 79 | 78 | 78 | 69 | 1 | USA | 56 | 2 | 1,000,000$ |
| 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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Juha Jaaska | Phantoms (PHI) | LW | 30 | 12 | 15 | 27 | -8 | 15 | 5 | 39 | 77 | 32 | 40 | 15.58% | 8 | 23.55 | 2 | 4 | 6 | 0 | 0 | 0 | 55 | 2 | 0 | 48.92% | 0 | 0 | 0.90 | 2 | 4 | 0.71 | |||
| 2 | Lukas Rousek | Phantoms (PHI) | RW | 30 | 11 | 12 | 23 | -1 | 41 | 25 | 42 | 83 | 23 | 34 | 13.25% | 15 | 21.10 | 4 | 1 | 5 | 0 | 0 | 0 | 49 | 3 | 1 | 41.54% | 0 | 1 | 0.77 | 2 | 4 | 0.55 | |||
| 3 | Curtis Douglas | Phantoms (PHI) | C | 30 | 7 | 10 | 17 | -4 | 47 | 15 | 55 | 45 | 13 | 35 | 15.56% | 6 | 19.87 | 2 | 8 | 10 | 0 | 0 | 0 | 20 | 2 | 1 | 55.59% | 0 | 0 | 0.57 | 0 | 0 | 0.25 | |||
| 4 | Dylan Roobroeck | Phantoms (PHI) | C | 30 | 6 | 9 | 15 | -2 | 27 | 5 | 38 | 27 | 13 | 29 | 22.22% | 5 | 18.51 | 2 | 1 | 3 | 0 | 0 | 0 | 23 | 0 | 3 | 39.27% | 1 | 0 | 0.50 | 1 | 1 | 0.24 | |||
| 5 | Max McCormick | Phantoms (PHI) | LW | 30 | 7 | 7 | 14 | 2 | 7 | 5 | 37 | 61 | 21 | 37 | 11.48% | 4 | 18.78 | 3 | 1 | 4 | 0 | 0 | 0 | 25 | 2 | 1 | 46.88% | 0 | 0 | 0.47 | 2 | 3 | 0.51 | |||
| 6 | Chase Wouters | Phantoms (PHI) | C | 30 | 4 | 8 | 12 | 0 | 23 | 5 | 35 | 48 | 17 | 29 | 8.33% | 10 | 18.32 | 1 | 4 | 5 | 0 | 0 | 0 | 13 | 1 | 1 | 51.76% | 0 | 0 | 0.40 | 0 | 0 | 0.30 | |||
| 7 | Steven Santini | Phantoms (PHI) | D | 30 | 1 | 9 | 10 | -13 | 19 | 5 | 41 | 37 | 8 | 14 | 2.70% | 34 | 25.39 | 1 | 2 | 3 | 0 | 0 | 0 | 67 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.13 | |||
| 8 | Jordan Martel | Phantoms (PHI) | RW | 30 | 3 | 4 | 7 | 0 | 8 | 0 | 38 | 22 | 8 | 23 | 13.64% | 6 | 17.58 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 64.29% | 0 | 0 | 0.23 | 0 | 0 | 0.22 | |||
| 9 | Seth Helgeson | Phantoms (PHI) | D | 30 | 0 | 4 | 4 | 4 | 2 | 0 | 15 | 6 | 2 | 4 | 0.00% | 5 | 13.46 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 57.14% | 0 | 0 | 0.13 | 0 | 0 | 0.14 | |||
| 10 | Cole Reinhardt | Phantoms (PHI) | LW | 30 | 2 | 2 | 4 | -7 | 12 | 0 | 41 | 44 | 13 | 25 | 4.55% | 12 | 17.95 | 0 | 1 | 1 | 0 | 0 | 0 | 37 | 0 | 0 | 36.11% | 0 | 0 | 0.13 | 0 | 2 | 0.11 | |||
| 11 | Wyatte Wylie | Phantoms (PHI) | D | 30 | 1 | 3 | 4 | -1 | 4 | 0 | 23 | 25 | 12 | 12 | 4.00% | 27 | 21.85 | 0 | 1 | 1 | 0 | 0 | 0 | 60 | 1 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.17 | |||
| 12 | Grant Hutton | Phantoms (PHI) | D | 30 | 0 | 2 | 2 | 3 | 12 | 0 | 16 | 7 | 9 | 4 | 0.00% | 16 | 18.78 | 0 | 1 | 1 | 0 | 0 | 0 | 36 | 0 | 0 | 100.00% | 0 | 0 | 0.07 | 0 | 0 | 0.05 | |||
| 13 | Djibril Touré | Phantoms (PHI) | D | 30 | 0 | 2 | 2 | -2 | 4 | 0 | 14 | 4 | 3 | 1 | 0.00% | 13 | 11.81 | 0 | 1 | 1 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.03 | |||
| 14 | Grant Gabriele | Phantoms (PHI) | D | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 0.00% | 0 | 5.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| 15 | Jackson van de Leest | Phantoms (PHI) | D | 17 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 0.00% | 2 | 8.76 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| 16 | Jeremie Bucheler | Phantoms (PHI) | D | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 6.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
| 17 | Joe Arntsen | Phantoms (PHI) | D | 18 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | |||
| 18 | Joe Fleming | Phantoms (PHI) | D | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 7.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | |||
| 19 | Josh Prokop | Phantoms (PHI) | RW | 11 | 0 | 0 | 0 | 1 | 2 | 0 | 6 | 1 | 1 | 2 | 0.00% | 2 | 10.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
| 20 | Riley Hughes | Phantoms (PHI) | C/LW/RW | 19 | 0 | 0 | 0 | -1 | 4 | 0 | 14 | 8 | 2 | 0 | 0.00% | 4 | 12.81 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 30.00% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | |||
| 21 | Ryan Jones | Phantoms (PHI) | D | 30 | 0 | 0 | 0 | 3 | 2 | 0 | 5 | 2 | 2 | 3 | 0.00% | 7 | 9.48 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.04 | |||
| Team Total or Average | 515 | 54 | 87 | 141 | -26 | 231 | 65 | 469 | 498 | 180 | 292 | 10.84% | 176 | 16.34 | 16 | 26 | 42 | 502 | 0 | 0 | 0 | 452 | 12 | 7 | 47.82% | 1217 | 121 | 138 | 1 | 1 | 0.34 | 7 | 14 |
| 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 | Malcolm Subban | Phantoms (PHI) | 20 | 9 | 10 | 1 | 0.901 | 2.35 | 1177 | 2 | 2 | 46 | 463 | 243 | 0 | 0 | 0.700 | 10 | 20 | 9 | 3 | 0 | 1 |
| 2 | Felix Sandström | Phantoms (PHI) | 11 | 8 | 2 | 0 | 0.910 | 1.67 | 647 | 0 | 2 | 18 | 199 | 111 | 1 | 0 | 0.833 | 6 | 10 | 20 | 2 | 1 | 1 |
| Team Total or Average | 31 | 17 | 12 | 1 | 0.903 | 2.11 | 1824 | 2 | 4 | 64 | 662 | 354 | 1 | 0 | 0.750 | 16 | 30 | 29 | 5 | 1 | 2 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Chase Wouters | C | 25 | 950,000$ | 975,000$ | |||||||
| Cole Reinhardt | LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Connor Kurth | RW | 21 | 975,000$ | 975,000$ | RFA | ||||||
| Curtis Douglas | C | 25 | 1,250,000$ | 1,250,000$ | |||||||
| Djibril Touré | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Dylan Roobroeck | C | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Dyllan Gill | D | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Felix Sandström | G | 28 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Filip Král | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Grant Gabriele | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Grant Hutton | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Jackson van de Leest | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Jaxon Castor | G | 28 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Jeremie Biakabutuka | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Jeremie Bucheler | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Joe Arntsen | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Joe Fleming | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Jordan Martel | RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Jordan Papirny | G | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Josh Prokop | RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Juha Jaaska | LW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Keaton Mastrodonato | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Lukas Rousek | RW | 26 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Malcolm Subban | G | 31 | 4,000,000$ | 4,000,000$ | UFA | ||||||
| Max McCormick | LW | 33 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Noah Warren | D | 20 | 865,000$ | 975,000$ | 975,000$ | RFA | |||||
| Riley Hughes | C/LW/RW | 25 | 975,000$ | 975,000$ | |||||||
| Ryan Jones | D | 29 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Sam Bitten | C/LW/RW | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
| Seth Helgeson | D | 34 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Stefan Matteau | LW | 31 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| Steven Santini | D | 30 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
| Wyatte Wylie | D | 25 | 1,250,000$ | 1,250,000$ |
| 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 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 4 | 21 | 31 | 8 | 25 | 102 | 215 | 209 | 16 | 33 | 12 | 4 | 27 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 80.0% | 16.0% | 97.0% | 113.0 | LUCKY |
| 2 | Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 4 | 21 | 31 | 8 | 19 | 102 | 215 | 209 | 16 | 35 | 17 | 26 | 16 | 3 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 25.0% | 5.3% | 85.7% | 91.0 | Unlucky |
| 3 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 4 | 21 | 31 | 8 | 20 | 102 | 215 | 209 | 16 | 36 | 13 | 16 | 26 | 2 | 1 | 50.00% | 8 | 2 | 75.00% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 50.0% | 10.0% | 91.7% | 101.7 | LUCKY |
| 4 | Heat | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 4 | 21 | 31 | 8 | 28 | 102 | 215 | 209 | 16 | 25 | 9 | 11 | 20 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 100.0% | 14.3% | 96.0% | 110.3 | LUCKY |
| 5 | Wolves | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 4 | 21 | 31 | 8 | 31 | 102 | 215 | 209 | 16 | 66 | 19 | 16 | 40 | 5 | 2 | 40.00% | 8 | 0 | 100.00% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 28.6% | 12.9% | 92.4% | 105.3 | LUCKY |
| 6 | IceHogs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 2 | 4 | 0 | 0 | 4 | 21 | 31 | 8 | 12 | 102 | 215 | 209 | 16 | 19 | 7 | 4 | 15 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 25.0% | 16.7% | 84.2% | 100.9 | FUN |
| 7 | Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 1 | 2 | 0 | 1 | 4 | 21 | 31 | 8 | 19 | 102 | 215 | 209 | 16 | 12 | 3 | 0 | 16 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 100.0% | 5.3% | 100.0% | 105.3 | DULL |
| 8 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 4 | 21 | 31 | 8 | 27 | 102 | 215 | 209 | 16 | 43 | 4 | 8 | 19 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 50.0% | 7.4% | 90.7% | 98.1 | Unlucky |
| 9 | Checkers 1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 0.667 | 7 | 13 | 20 | 0 | 0 | 4 | 21 | 31 | 8 | 42 | 102 | 215 | 209 | 16 | 53 | 13 | 27 | 50 | 9 | 3 | 33.33% | 11 | 1 | 90.91% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 50.0% | 16.7% | 90.6% | 107.2 | FUN |
| 10 | Islanders | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 1 | 5 | 6 | 1.000 | 6 | 8 | 14 | 0 | 2 | 4 | 21 | 31 | 8 | 32 | 102 | 215 | 209 | 16 | 35 | 12 | 8 | 50 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 83.3% | 18.8% | 97.1% | 115.9 | LUCKY |
| 11 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 4 | 21 | 31 | 8 | 47 | 102 | 215 | 209 | 16 | 73 | 25 | 42 | 38 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 25.0% | 4.3% | 89.0% | 93.3 | Unlucky |
| 12 | Roadrunners | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 4 | 21 | 31 | 8 | 17 | 102 | 215 | 209 | 16 | 17 | 2 | 17 | 5 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 0.0% | 5.9% | 82.4% | 88.2 | Unlucky |
| 13 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 4 | 21 | 31 | 8 | 16 | 102 | 215 | 209 | 16 | 30 | 8 | 11 | 13 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky |
| 14 | Hershey Bears | 6 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 13 | 16 | -3 | 6 | 0.500 | 13 | 17 | 30 | 0 | 0 | 4 | 21 | 31 | 8 | 135 | 102 | 215 | 209 | 16 | 138 | 36 | 33 | 111 | 20 | 5 | 25.00% | 14 | 5 | 64.29% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 42.1% | 9.6% | 88.4% | 98.0 | FUN |
| 15 | Silver Knights | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 14 | 24 | 0 | 0 | 4 | 21 | 31 | 8 | 35 | 102 | 215 | 209 | 16 | 24 | 7 | 11 | 29 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 64.3% | 28.6% | 79.2% | 107.7 | FUN |
| 16 | Checkers 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 4 | 21 | 31 | 8 | 23 | 102 | 215 | 209 | 16 | 23 | 8 | 11 | 16 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 50.0% | 8.7% | 95.7% | 104.3 | DULL |
| _Vs Division | 7 | 6 | 8 | 0 | 1 | 0 | 2 | 0 | 12 | 17 | -5 | 18 | 1.286 | 12 | 22 | 34 | 0 | 0 | 4 | 21 | 31 | 8 | 108 | 102 | 215 | 209 | 16 | 167 | 47 | 77 | 111 | 16 | 4 | 25.00% | 26 | 7 | 73.08% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 44.4% | 11.1% | 89.8% | 100.9 | FUN | |
| _Vs Conference | 20 | 7 | 10 | 0 | 1 | 0 | 2 | 0 | 35 | 47 | -12 | 20 | 0.500 | 35 | 56 | 91 | 0 | 2 | 4 | 21 | 31 | 8 | 342 | 102 | 215 | 209 | 16 | 466 | 143 | 179 | 344 | 50 | 12 | 24.00% | 57 | 13 | 77.19% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 40.4% | 10.2% | 89.9% | 100.1 | FUN | |
| _Since Last GM Reset | 30 | 12 | 12 | 0 | 1 | 0 | 4 | 1 | 61 | 65 | -4 | 35 | 0.583 | 61 | 91 | 152 | 0 | 4 | 4 | 21 | 31 | 8 | 528 | 102 | 215 | 209 | 16 | 662 | 195 | 245 | 491 | 71 | 17 | 23.94% | 76 | 17 | 77.63% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 47.8% | 11.6% | 90.2% | 101.7 | FUN | |
| Total | 30 | 12 | 12 | 0 | 1 | 0 | 4 | 1 | 61 | 65 | -4 | 35 | 0.583 | 61 | 91 | 152 | 0 | 4 | 4 | 21 | 31 | 8 | 528 | 102 | 215 | 209 | 16 | 662 | 195 | 245 | 491 | 71 | 17 | 23.94% | 76 | 17 | 77.63% | 0 | 212 | 437 | 48.51% | 257 | 516 | 49.81% | 135 | 303 | 44.55% | 511 | 194 | 586 | 332 | 727 | 359 | 47.8% | 11.6% | 90.2% | 101.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 24 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 437 |
| Neutral Zone Start | 303 |
| Defensive Zone Start | 516 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 604 |
| Faceoffs Lost | 652 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.4 | 9.57 |
| 2nd Period | 10.6 | 20.31 |
| 3rd Period | 17.5 | 30.68 |
| Overtime | 18.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.1 | 0.64 |
| 2nd Period | 0.8 | 1.65 |
| 3rd Period | 1.9 | 2.67 |
| Overtime | 2.1 | 2.83 |
| Even Strenght Goal | 44 |
|---|---|
| PP Goal | 17 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 10 | 7 |
| Lost | 5 | 7 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 71 |
|---|---|
| PP Goal | 17 |
| PK Attempt | 76 |
| PK Goal Against | 17 |
| Home | |
|---|---|
| Shots For | 17.6 |
| Shots Against | 22.1 |
| Goals For | 2.0 |
| Goals Against | 2.2 |
| Hits | 16.4 |
| Shots Blocked | 6.5 |
| Pim | 8.2 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | WAS | @ | PHI | WAS4,PHI1 | RECAP | |||||||||
| Fri, Oct 10 | PHI | @ | NYI | PHI4,NYI1 | RECAP | |||||||||
| Tue, Oct 14 | WAS | @ | PHI | WAS2,PHI3 (SO) | RECAP | |||||||||
| Thu, Oct 16 | PHI | @ | WAS | PHI2,WAS4 | RECAP | |||||||||
| Sat, Oct 18 | CAR | @ | PHI | CAR2,PHI3 | RECAP | |||||||||
| Sun, Oct 19 | PHI | @ | WAS | PHI3,WAS2 | RECAP | |||||||||
| Wed, Oct 22 | FLO | @ | PHI | FLO1,PHI2 | RECAP | |||||||||
| Sat, Oct 25 | NYI | @ | PHI | NYI0,PHI1 (OT) | RECAP | |||||||||
| Mon, Oct 27 | PHI | @ | CAR | PHI1,CAR3 | RECAP | |||||||||
| Wed, Oct 29 | NYR | @ | PHI | NYR4,PHI0 | RECAP | |||||||||
| Sat, Nov 1 | PHI | @ | FLO | PHI1,FLO2 | RECAP | |||||||||
| Sun, Nov 2 | WAS | @ | PHI | WAS1,PHI3 | RECAP | |||||||||
| Wed, Nov 5 | CHI | @ | PHI | CHI3,PHI2 (SO) | RECAP | |||||||||
| Thu, Nov 6 | PHI | @ | SEA | PHI2,SEA1 (SO) | RECAP | |||||||||
| Sat, Nov 8 | PHI | @ | BOS | PHI1,BOS5 | RECAP | |||||||||
| Mon, Nov 10 | PHO | @ | PHI | PHO3,PHI1 | RECAP | |||||||||
| Wed, Nov 12 | PHI | @ | DET | PHI2,DET4 | RECAP | |||||||||
| Thu, Nov 13 | COL | @ | PHI | COL0,PHI1 | RECAP | |||||||||
| Sun, Nov 16 | BUF | @ | PHI | BUF2,PHI0 | RECAP | |||||||||
| Tue, Nov 18 | PHI | @ | VAN | PHI0,VAN4 | RECAP | |||||||||
| Wed, Nov 19 | CAL | @ | PHI | CAL1,PHI4 | RECAP | |||||||||
| Fri, Nov 21 | PHI | @ | BUF | PHI2,BUF1 | RECAP | |||||||||
| Sun, Nov 23 | PHI | @ | NYR | PHI2,NYR4 | RECAP | |||||||||
| Tue, Nov 25 | CHI | @ | PHI | CHI2,PHI3 (SO) | RECAP | |||||||||
| Fri, Nov 28 | PHI | @ | WPG | PHI2,WPG1 | RECAP | |||||||||
| Sat, Nov 29 | NYI | @ | PHI | NYI0,PHI1 (SO) | RECAP | |||||||||
| Tue, Dec 2 | PHI | @ | FLO | PHI4,FLO2 | RECAP | |||||||||
| Wed, Dec 3 | WAS | @ | PHI | WAS3,PHI1 | RECAP | |||||||||
| Sat, Dec 6 | PHI | @ | CHI | PHI7,CHI3 | RECAP | |||||||||
| Sun, Dec 7 | WPG | @ | PHI | WPG0,PHI2 | RECAP | |||||||||
| Thu, Dec 11 | LOS | @ | PHI | |||||||||||
| Sat, Dec 13 | PHI | @ | WAS | |||||||||||
| Mon, Dec 15 | MIN | @ | PHI | |||||||||||
| Tue, Dec 16 | PHI | @ | TAM | |||||||||||
| Thu, Dec 18 | PHI | @ | S J | |||||||||||
| Fri, Dec 19 | EDM | @ | PHI | |||||||||||
| Mon, Dec 22 | PHI | @ | PHO | |||||||||||
| Wed, Dec 24 | NYR | @ | PHI | |||||||||||
| Sat, Dec 27 | PHI | @ | NYI | |||||||||||
| Mon, Dec 29 | NJD | @ | PHI | |||||||||||
| Wed, Dec 31 | PHI | @ | EDM | |||||||||||
| Fri, Jan 2 | PHI | @ | TOR | |||||||||||
| Sat, Jan 3 | TAM | @ | PHI | |||||||||||
| Tue, Jan 6 | PHI | @ | COL | |||||||||||
| Wed, Jan 7 | CAR | @ | PHI | |||||||||||
| Sat, Jan 10 | PHI | @ | NYI | |||||||||||
| Sun, Jan 11 | CLB | @ | PHI | |||||||||||
| Wed, Jan 14 | DAL | @ | PHI | |||||||||||
| Fri, Jan 16 | PHI | @ | STL | |||||||||||
| Sat, Jan 17 | PHI | @ | PIT | |||||||||||
| Mon, Jan 19 | OTT | @ | PHI | |||||||||||
| Wed, Jan 21 | PHI | @ | NAS | |||||||||||
| Fri, Jan 23 | FLO | @ | PHI | |||||||||||
| Sat, Jan 24 | PHI | @ | OTT | |||||||||||
| Mon, Jan 26 | ANA | @ | PHI | |||||||||||
| Thu, Jan 29 | PHI | @ | ANA | |||||||||||
| Fri, Jan 30 | PHI | @ | MTL | |||||||||||
| Sun, Feb 1 | SEA | @ | PHI | |||||||||||
| Tue, Feb 3 | TOR | @ | PHI | |||||||||||
| Thu, Feb 5 | PHI | @ | CAL | |||||||||||
| Sat, Feb 7 | PHI | @ | CLB | |||||||||||
| Mon, Feb 9 | VAN | @ | PHI | |||||||||||
| Wed, Feb 11 | BOS | @ | PHI | |||||||||||
| Sat, Feb 14 | PHI | @ | CAR | |||||||||||
| Sun, Feb 15 | PIT | @ | PHI | |||||||||||
| Wed, Feb 18 | PHI | @ | NYR | |||||||||||
| Thu, Feb 19 | NAS | @ | PHI | |||||||||||
| Sun, Feb 22 | STL | @ | PHI | |||||||||||
| Mon, Feb 23 | PHI | @ | LOS | |||||||||||
| Tue, Feb 24 | PHI | @ | DAL | |||||||||||
| Fri, Feb 27 | PIT | @ | PHI | |||||||||||
| Mon, Mar 2 | PHI | @ | PIT | |||||||||||
| Tue, Mar 3 | PHI | @ | MIN | |||||||||||
| Wed, Mar 4 | S J | @ | PHI | |||||||||||
| Fri, Mar 6 | PHI | @ | SEA | |||||||||||
| Sun, Mar 8 | MTL | @ | PHI | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Thu, Mar 12 | CHI | @ | PHI | |||||||||||
| Fri, Mar 13 | PHI | @ | BOS | |||||||||||
| Sun, Mar 15 | PHI | @ | NJD | |||||||||||
| Mon, Mar 16 | PHI | @ | CHI | |||||||||||
| Thu, Mar 19 | DET | @ | PHI | |||||||||||
| Mon, Mar 23 | BOS | @ | PHI | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,792,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Lehigh Valley | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 18$ | $ | $ | $ |
| 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 |
| 25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,792,500$ | 3,792,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,783,643$ | 0$ | 1,422,685$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 28,358$ | 3,062,664$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,062,664$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
|
|
|
|
| Defense #1 | Defense #2 | Goalie |
|---|---|---|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||


