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Full Scoreboard »» |
![]() | Lehigh Valley Phantoms 0-1-0, 0pts · 12th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kyle MacLean | 0 | C/LW | 100.00 | 80 | 54 | 79 | 74 | 78 | 81 | 76 | 70 | 63 | 66 | 64 | 69 | 69 | 59 | 50 | 1 | 50 | 68 | 27 | 2,000,000$/4yrs | |||
Phil Di Giuseppe | 0 | LW | 100.00 | 71 | 47 | 73 | 73 | 76 | 83 | 78 | 69 | 43 | 65 | 63 | 66 | 68 | 84 | 74 | 1 | 50 | 68 | 32 | 2,400,000$/1yrs | |||
Cole Reinhardt | 0 | LW | 100.00 | 74 | 51 | 77 | 71 | 77 | 75 | 74 | 68 | 50 | 64 | 65 | 65 | 68 | 63 | 56 | 1 | 50 | 66 | 26 | 1,500,000$/2yrs | |||
Juha Jaaska | 0 | LW | 100.00 | 55 | 42 | 67 | 64 | 73 | 69 | 54 | 59 | 49 | 57 | 54 | 57 | 59 | 51 | 50 | 1 | 50 | 58 | 28 | 1,000,000$/1yrs | |||
Joe Fleming | 0 | RW | 100.00 | 61 | 61 | 52 | 60 | 67 | 63 | 61 | 57 | 41 | 53 | 51 | 56 | 56 | 51 | 50 | 1 | 50 | 56 | 23 | 1,000,000$/1yrs | |||
Max McCormick | 0 | LW | 100.00 | 52 | 41 | 63 | 57 | 55 | 61 | 60 | 54 | 41 | 52 | 53 | 52 | 54 | 70 | 63 | 1 | 50 | 55 | 34 | 975,000$/2yrs | |||
Lukas Rousek | 0 | RW | 100.00 | 52 | 41 | 61 | 59 | 54 | 63 | 61 | 56 | 42 | 59 | 51 | 54 | 55 | 54 | 50 | 1 | 50 | 55 | 27 | 975,000$/2yrs | |||
Jordan Martel | 0 | RW | 100.00 | 53 | 40 | 63 | 56 | 55 | 57 | 55 | 52 | 40 | 50 | 51 | 52 | 52 | 55 | 50 | 1 | 50 | 53 | 28 | 1,000,000$/1yrs | |||
Keaton Mastrodonato | 0 | C/LW/RW | 100.00 | 56 | 40 | 64 | 54 | 59 | 55 | 53 | 52 | 40 | 50 | 50 | 51 | 52 | 52 | 50 | 1 | 50 | 52 | 25 | 1,000,000$/1yrs | |||
Connor Kurth | 0 | RW | 100.00 | 57 | 40 | 58 | 54 | 59 | 52 | 52 | 51 | 40 | 50 | 50 | 52 | 51 | 50 | 50 | 1 | 50 | 52 | 22 | 1,250,000$/4yrs | |||
Riley Hughes | 0 | C/LW/RW | 100.00 | 54 | 40 | 64 | 54 | 57 | 57 | 55 | 52 | 40 | 50 | 51 | 51 | 52 | 53 | 50 | 1 | 50 | 52 | 26 | 1,100,000$/4yrs | |||
Max Crozier | 0 | D | 100.00 | 63 | 57 | 61 | 72 | 76 | 77 | 67 | 68 | 40 | 66 | 61 | 72 | 67 | 57 | 50 | 1 | 50 | 67 | 26 | 1,400,000$/4yrs | |||
Josiah Didier | 0 | D | 100.00 | 61 | 44 | 66 | 62 | 68 | 71 | 70 | 58 | 40 | 51 | 51 | 67 | 57 | 68 | 60 | 1 | 50 | 62 | 33 | 975,000$/2yrs | |||
Steven Santini | 0 | D | 100.00 | 63 | 41 | 72 | 63 | 67 | 70 | 68 | 59 | 40 | 54 | 53 | 67 | 58 | 65 | 59 | 1 | 50 | 62 | 31 | 3,000,000$/1yrs | |||
Noah Warren | 0 | D | 100.00 | 66 | 42 | 69 | 62 | 72 | 62 | 59 | 60 | 40 | 54 | 52 | 64 | 58 | 50 | 50 | 1 | 50 | 60 | 21 | 865,000$/1yrs | |||
Jackson van de Leest | 0 | D | 100.00 | 68 | 43 | 69 | 57 | 76 | 62 | 59 | 54 | 40 | 51 | 51 | 65 | 54 | 53 | 50 | 1 | 50 | 59 | 25 | 1,000,000$/1yrs | |||
Wyatte Wylie | 0 | D | 100.00 | 59 | 41 | 68 | 65 | 63 | 64 | 62 | 56 | 40 | 52 | 52 | 62 | 58 | 54 | 50 | 1 | 50 | 59 | 26 | 1,350,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Curtis Douglas | 0 | C/LW/RW | 100.00 | 77 | 79 | 54 | 62 | 88 | 71 | 68 | 65 | 54 | 61 | 59 | 64 | 62 | 54 | 50 | 1 | 50 | 63 | 26 | 1,400,000$/3yrs | |||
Chase Wouters | 0 | C | 100.00 | 55 | 49 | 61 | 65 | 62 | 69 | 67 | 63 | 60 | 60 | 56 | 53 | 61 | 54 | 50 | 1 | 50 | 59 | 26 | ||||
Sam Bitten | 0 | LW | 100.00 | 60 | 55 | 56 | 57 | 69 | 67 | 65 | 56 | 41 | 51 | 52 | 51 | 55 | 54 | 50 | 1 | 50 | 55 | 26 | 975,000$/3yrs | |||
Ondrej Pavel | 0 | C | 100.00 | 58 | 43 | 56 | 56 | 60 | 60 | 58 | 55 | 41 | 52 | 52 | 54 | 54 | 52 | 50 | 1 | 50 | 54 | 25 | 975,000$/2yrs | |||
Josh Prokop | 0 | RW | 100.00 | 53 | 40 | 58 | 56 | 55 | 55 | 53 | 51 | 40 | 50 | 50 | 52 | 52 | 53 | 50 | 1 | 50 | 52 | 26 | 1,000,000$/1yrs | |||
Djibril Touré | 0 | D | 100.00 | 63 | 44 | 60 | 62 | 67 | 60 | 58 | 57 | 40 | 54 | 55 | 63 | 58 | 50 | 50 | 1 | 50 | 59 | 23 | 1,000,000$/1yrs | |||
Filip Král | 0 | D | 100.00 | 53 | 42 | 63 | 60 | 60 | 61 | 60 | 59 | 40 | 57 | 54 | 56 | 57 | 52 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/1yrs | |||
Joe Arntsen | 0 | D | 100.00 | 61 | 51 | 60 | 60 | 69 | 62 | 60 | 57 | 40 | 51 | 52 | 57 | 56 | 51 | 50 | 1 | 50 | 57 | 23 | 1,000,000$/1yrs | |||
Seth Helgeson | 0 | D | 100.00 | 54 | 41 | 59 | 53 | 62 | 61 | 60 | 52 | 40 | 50 | 50 | 55 | 52 | 70 | 58 | 1 | 50 | 55 | 35 | 975,000$/2yrs | |||
Grant Gabriele | 0 | D | 100.00 | 55 | 40 | 64 | 57 | 58 | 59 | 56 | 51 | 40 | 50 | 50 | 56 | 52 | 58 | 50 | 1 | 50 | 55 | 29 | 1,000,000$/1yrs | |||
Grant Hutton | 0 | D | 100.00 | 54 | 41 | 61 | 54 | 61 | 61 | 59 | 53 | 40 | 51 | 50 | 55 | 52 | 60 | 51 | 1 | 50 | 55 | 30 | 1,000,000$/1yrs | |||
Ryan Jones | 0 | D | 100.00 | 55 | 41 | 63 | 54 | 61 | 62 | 59 | 52 | 40 | 51 | 50 | 56 | 52 | 60 | 50 | 1 | 50 | 55 | 30 | 975,000$/2yrs | |||
Jeremie Bucheler | 0 | D | 100.00 | 57 | 40 | 64 | 55 | 62 | 56 | 54 | 52 | 40 | 50 | 50 | 56 | 52 | 53 | 50 | 1 | 50 | 54 | 26 | 1,000,000$/1yrs | |||
Jeremie Biakabutuka | 0 | D | 100.00 | 56 | 40 | 63 | 55 | 61 | 54 | 52 | 51 | 40 | 50 | 50 | 54 | 52 | 51 | 50 | 1 | 50 | 54 | 24 | 1,000,000$/1yrs | |||
Dyllan Gill | 0 | D | 100.00 | 54 | 40 | 64 | 58 | 56 | 54 | 52 | 52 | 40 | 50 | 51 | 54 | 52 | 50 | 50 | 1 | 50 | 53 | 22 | 1,000,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matt Villalta | 0 | 100.00 | 74 | 66 | 72 | 64 | 71 | 72 | 75 | 70 | 73 | 72 | 59 | 54 | 50 | 1 | 50 | 65 | 27 | 975,000$/2yrs |
Felix Sandström | 0 | 100.00 | 73 | 66 | 65 | 66 | 68 | 67 | 68 | 66 | 67 | 69 | 61 | 57 | 51 | 1 | 50 | 62 | 29 | 975,000$/2yrs |
| Scratches | ||||||||||||||||||||
Matthew Villalta | 0 | 100.00 | 74 | 67 | 73 | 64 | 70 | 70 | 73 | 68 | 71 | 72 | 62 | 55 | 50 | 1 | 50 | 64 | 27 | 2,600,000$/3yrs |
Jaxon Castor | 0 | 100.00 | 62 | 59 | 57 | 63 | 60 | 57 | 57 | 54 | 58 | 59 | 57 | 55 | 51 | 1 | 50 | 54 | 29 | 975,000$/2yrs |
Jordan Papirny | 0 | 100.00 | 68 | 60 | 55 | 59 | 60 | 57 | 57 | 52 | 58 | 61 | 59 | 59 | 52 | 1 | 50 | 54 | 30 | 1,000,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Joe Sacco | 82 | 76 | 72 | 72 | 86 | 63 | 1 | USA | 57 | 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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Noah Warren | Phantoms (PHI) | D | 1 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 20.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 2.00 | 0 | 0 | 1.30 | |||
| 2 | Juha Jaaska | Phantoms (PHI) | LW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 1 | 1 | 1 | 100.00% | 0 | 14.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 1.28 | |||
| 3 | Max McCormick | Phantoms (PHI) | LW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 8.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 1.00 | |||
| 4 | Lukas Rousek | Phantoms (PHI) | RW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 1 | 0 | 1 | 0.00% | 0 | 11.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 1.18 | |||
| 5 | Phil Di Giuseppe | Phantoms (PHI) | LW | 1 | 1 | 0 | 1 | -1 | 5 | 5 | 4 | 3 | 0 | 4 | 33.33% | 0 | 21.13 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 0 | 0 | 1.00 | 0 | 0 | -0.07 | |||
| 6 | Jackson van de Leest | Phantoms (PHI) | D | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 1 | 0 | 1 | 0.00% | 0 | 14.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.85 | |||
| 7 | Keaton Mastrodonato | Phantoms (PHI) | C/LW/RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 0 | 14.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.34 | |||
| 8 | Connor Kurth | Phantoms (PHI) | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 7.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| 9 | Joe Fleming | Phantoms (PHI) | RW | 1 | 0 | 0 | 0 | 0 | 6 | 0 | 1 | 2 | 1 | 5 | 0.00% | 0 | 18.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.77 | |||
| 10 | Jordan Martel | Phantoms (PHI) | RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0.00% | 0 | 7.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.48 | |||
| 11 | Riley Hughes | Phantoms (PHI) | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0.00% | 0 | 18.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | 0.09 | |||
| 12 | Josiah Didier | Phantoms (PHI) | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 2 | 1 | 1 | 0.00% | 1 | 25.92 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.55 | |||
| 13 | Cole Reinhardt | Phantoms (PHI) | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 0.00% | 0 | 19.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.28 | |||
| 14 | Curtis Douglas | Phantoms (PHI) | C/LW/RW | 1 | 0 | 0 | 0 | -2 | 25 | 15 | 3 | 0 | 1 | 0 | 0.00% | 1 | 14.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -4.94 | |||
| 15 | Kyle MacLean | Phantoms (PHI) | C/LW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 4 | 1 | 1 | 0.00% | 0 | 20.38 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 35.00% | 0 | 0 | 0.00 | 0 | 0 | -0.44 | |||
| 16 | Wyatte Wylie | Phantoms (PHI) | D | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 14.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.68 | |||
| 17 | Steven Santini | Phantoms (PHI) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 20.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 18 | Max Crozier | Phantoms (PHI) | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 0 | 1 | 3 | 0.00% | 0 | 25.92 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.53 | |||
| Team Total or Average | 18 | 2 | 4 | 6 | 0 | 36 | 20 | 28 | 19 | 6 | 21 | 10.53% | 2 | 16.54 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 9 | 0 | 0 | 36.59% | 41 | 7 | 6 | 0 | 0 | 0.40 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Felix Sandström | Phantoms (PHI) | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 34 | 0 | 0 | 0 | 11 | 6 | 0 | 0 | 0.000 | 0 | 0 | 1 | 0 | 0 | 0 |
| 2 | Matt Villalta | Phantoms (PHI) | 1 | 0 | 1 | 0 | 0.333 | 9.60 | 25 | 0 | 0 | 4 | 6 | 1 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
| Team Total or Average | 2 | 0 | 1 | 0 | 0.765 | 4.00 | 60 | 0 | 0 | 4 | 17 | 7 | 0 | 0 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 |
| 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 | 26 | 0$ | ||||||||
| Cole Reinhardt | LW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Connor Kurth | RW | 22 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||
| Curtis Douglas | C/LW/RW | 26 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | ||||
| Djibril Touré | D | 23 | 1,000,000$ | 1,000,000$ | RFA | ||||||
| Dyllan Gill | D | 22 | 1,000,000$ | 1,000,000$ | RFA | ||||||
| Felix Sandström | G | 29 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Filip Král | D | 26 | 1,000,000$ | 1,000,000$ | |||||||
| Grant Gabriele | D | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Grant Hutton | D | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Jackson van de Leest | D | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Jaxon Castor | G | 29 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Jeremie Biakabutuka | D | 24 | 1,000,000$ | 1,000,000$ | |||||||
| Jeremie Bucheler | D | 26 | 1,000,000$ | 1,000,000$ | |||||||
| Joe Arntsen | D | 23 | 1,000,000$ | 1,000,000$ | RFA | ||||||
| Joe Fleming | RW | 23 | 1,000,000$ | 1,000,000$ | RFA | ||||||
| Jordan Martel | RW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Jordan Papirny | G | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Josh Prokop | RW | 26 | 1,000,000$ | 1,000,000$ | |||||||
| Josiah Didier | D | 33 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Juha Jaaska | LW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Keaton Mastrodonato | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Kyle MacLean | C/LW | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Lukas Rousek | RW | 27 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Matt Villalta | G | 27 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Matthew Villalta | G | 27 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | ||||
| Max Crozier | D | 26 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||
| Max McCormick | LW | 34 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Noah Warren | D | 21 | 865,000$ | 975,000$ | RFA | ||||||
| Ondrej Pavel | C | 25 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Phil Di Giuseppe | LW | 32 | 2,400,000$ | 2,400,000$ | UFA | ||||||
| Riley Hughes | C/LW/RW | 26 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||
| Ryan Jones | D | 30 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Sam Bitten | LW | 26 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Seth Helgeson | D | 35 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Steven Santini | D | 31 | 3,000,000$ | 3,000,000$ | UFA | ||||||
| Wyatte Wylie | D | 26 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | UFA |
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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 |
| # | 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 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 19 | 7 | 6 | 6 | 0 | 17 | 2 | 36 | 28 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 4 | 13 | 30.77% | 8 | 16 | 50.00% | 3 | 12 | 25.00% | 21 | 10 | 16 | 9 | 21 | 11 | 50.0% | 10.5% | 76.5% | 87.0 | FUN |
| _Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 19 | 7 | 6 | 6 | 0 | 17 | 2 | 36 | 28 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 4 | 13 | 30.77% | 8 | 16 | 50.00% | 3 | 12 | 25.00% | 21 | 10 | 16 | 9 | 21 | 11 | 50.0% | 10.5% | 76.5% | 87.0 | FUN | |
| _Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 19 | 7 | 6 | 6 | 0 | 17 | 2 | 36 | 28 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 4 | 13 | 30.77% | 8 | 16 | 50.00% | 3 | 12 | 25.00% | 21 | 10 | 16 | 9 | 21 | 11 | 50.0% | 10.5% | 76.5% | 87.0 | FUN | |
| Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 19 | 7 | 6 | 6 | 0 | 17 | 2 | 36 | 28 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 4 | 13 | 30.77% | 8 | 16 | 50.00% | 3 | 12 | 25.00% | 21 | 10 | 16 | 9 | 21 | 11 | 50.0% | 10.5% | 76.5% | 87.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 21 |
| Defensive Zone | 16 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 13 |
| Neutral Zone Start | 12 |
| Defensive Zone Start | 16 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 15 |
| Faceoffs Lost | 26 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 7.0 | 9.57 |
| 2nd Period | 13.0 | 20.31 |
| 3rd Period | 19.0 | 30.68 |
| Overtime | 19.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 2.0 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 2.0 | 2.67 |
| Overtime | 2.0 | 2.83 |
| Even Strenght Goal | 2 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 4 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 3 |
| PK Goal Against | 2 |
| Home | |
|---|---|
| Shots For | 19.0 |
| Shots Against | 17.0 |
| Goals For | 2.0 |
| Goals Against | 4.0 |
| Hits | 28.0 |
| Shots Blocked | 2.0 |
| Pim | 36.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sun, Oct 11 | PHI | @ | WAS | PHI2,WAS4 | RECAP | |||||||||
| Tue, Oct 13 | DAL | @ | PHI | |||||||||||
| Thu, Oct 15 | PHI | @ | ANA | |||||||||||
| Fri, Oct 16 | NYI | @ | PHI | |||||||||||
| Sun, Oct 18 | PHI | @ | NYI | |||||||||||
| Tue, Oct 20 | BOS | @ | PHI | |||||||||||
| Thu, Oct 22 | WAS | @ | PHI | |||||||||||
| Sat, Oct 24 | PHI | @ | WAS | |||||||||||
| Mon, Oct 26 | BOS | @ | PHI | |||||||||||
| Wed, Oct 28 | PHI | @ | CLB | |||||||||||
| Fri, Oct 30 | PHI | @ | BOS | |||||||||||
| Sun, Nov 1 | BUF | @ | PHI | |||||||||||
| Tue, Nov 3 | ANA | @ | PHI | |||||||||||
| Thu, Nov 5 | PHI | @ | WPG | |||||||||||
| Sat, Nov 7 | TOR | @ | PHI | |||||||||||
| Mon, Nov 9 | PHI | @ | NJD | |||||||||||
| Wed, Nov 11 | PHI | @ | EDM | |||||||||||
| Fri, Nov 13 | VAN | @ | PHI | |||||||||||
| Sun, Nov 15 | PHI | @ | VAN | |||||||||||
| Tue, Nov 17 | CHI | @ | PHI | |||||||||||
| Thu, Nov 19 | PHI | @ | TOR | |||||||||||
| Sat, Nov 21 | EDM | @ | PHI | |||||||||||
| Mon, Nov 23 | NYR | @ | PHI | |||||||||||
| Wed, Nov 25 | PHI | @ | LOS | |||||||||||
| Fri, Nov 27 | PHI | @ | OTT | |||||||||||
| Sun, Nov 29 | FLO | @ | PHI | |||||||||||
| Mon, Nov 30 | PHI | @ | CHI | |||||||||||
| Wed, Dec 2 | PHI | @ | MIN | |||||||||||
| Thu, Dec 3 | PHO | @ | PHI | |||||||||||
| Sun, Dec 6 | PIT | @ | PHI | |||||||||||
| Mon, Dec 7 | PHI | @ | FLO | |||||||||||
| Wed, Dec 9 | PHI | @ | MTL | |||||||||||
| Fri, Dec 11 | TAM | @ | PHI | |||||||||||
| Sun, Dec 13 | CAL | @ | PHI | |||||||||||
| Tue, Dec 15 | PHI | @ | CAR | |||||||||||
| Thu, Dec 17 | PHI | @ | TAM | |||||||||||
| Fri, Dec 18 | NYI | @ | PHI | |||||||||||
| Mon, Dec 21 | DAL | @ | PHI | |||||||||||
| Wed, Dec 23 | PHI | @ | FLO | |||||||||||
| Thu, Dec 24 | PHI | @ | NYI | |||||||||||
| Sat, Dec 26 | MIN | @ | PHI | |||||||||||
| Mon, Dec 28 | NJD | @ | PHI | |||||||||||
| Wed, Dec 30 | PHI | @ | WAS | |||||||||||
| Thu, Dec 31 | CLB | @ | PHI | |||||||||||
| Sat, Jan 2 | PHI | @ | STL | |||||||||||
| Mon, Jan 4 | PHI | @ | BUF | |||||||||||
| Tue, Jan 5 | S J | @ | PHI | |||||||||||
| Thu, Jan 7 | PHI | @ | CAL | |||||||||||
| Sat, Jan 9 | WPG | @ | PHI | |||||||||||
| Sun, Jan 10 | PHI | @ | BOS | |||||||||||
| Tue, Jan 12 | STL | @ | PHI | |||||||||||
| Thu, Jan 14 | PHI | @ | DET | |||||||||||
| Fri, Jan 15 | DET | @ | PHI | |||||||||||
| Sun, Jan 17 | PHI | @ | DET | |||||||||||
| Tue, Jan 19 | FLO | @ | PHI | |||||||||||
| Thu, Jan 21 | PHI | @ | CHI | |||||||||||
| Fri, Jan 22 | CHI | @ | PHI | |||||||||||
| Sun, Jan 24 | PHI | @ | DAL | |||||||||||
| Tue, Jan 26 | MTL | @ | PHI | |||||||||||
| Wed, Jan 27 | PHI | @ | S J | |||||||||||
| Fri, Jan 29 | PHI | @ | FLO | |||||||||||
| Sat, Jan 30 | NAS | @ | PHI | |||||||||||
| Mon, Feb 1 | PHI | @ | NYR | |||||||||||
| Wed, Feb 3 | NYR | @ | PHI | |||||||||||
| Fri, Feb 5 | PHI | @ | CAR | |||||||||||
| Sat, Feb 6 | OTT | @ | PHI | |||||||||||
| Mon, Feb 8 | PHI | @ | ANA | |||||||||||
| Tue, Feb 9 | PHI | @ | NYR | |||||||||||
| Thu, Feb 11 | COL | @ | PHI | |||||||||||
| Sun, Feb 14 | WAS | @ | PHI | |||||||||||
| Tue, Feb 16 | PHI | @ | PIT | |||||||||||
| Wed, Feb 17 | SEA | @ | PHI | |||||||||||
| Fri, Feb 19 | PHI | @ | SEA | |||||||||||
| Sat, Feb 20 | PHI | @ | PHO | |||||||||||
| Mon, Feb 22 | LOS | @ | PHI | |||||||||||
| Wed, Feb 24 | PHI | @ | PIT | |||||||||||
| Thu, Feb 25 | SEA | @ | PHI | |||||||||||
| Sun, Feb 28 | PHI | @ | COL | |||||||||||
| Mon, Mar 1 | PIT | @ | PHI | |||||||||||
| Thu, Mar 4 | PHI | @ | NAS | |||||||||||
| Sat, Mar 6 | DAL | @ | PHI | |||||||||||
| Thu, Mar 11 | CAR | @ | PHI | |||||||||||
| Mon, Mar 15 | DAL | @ | PHI | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Thu, Mar 18 | CAR | @ | PHI | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,372,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Lehigh Valley | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 18$ | $ | $ | $ |
| Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Attendance PCT | 0.00% | 0.00% | 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 |
| 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,372,500$ | 4,372,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 66,328$ | 0$ | 53,982$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 183 | 33,164$ | 5,306,240$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 5,306,240$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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