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Full Scoreboard »» |
Lehigh Valley Phantoms 28-16-11, 67pts · 6th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Phil Di Giuseppe | 0 | LW | 97.00 | 71 | 57 | 70 | 74 | 76 | 82 | 81 | 70 | 46 | 65 | 64 | 68 | 70 | 80 | 70 | 1 | 50 | 69 | 30 | 2,400,000$/3yrs | |||
Andreas Johnsson | 0 | LW/RW | 97.00 | 64 | 43 | 67 | 69 | 66 | 71 | 70 | 67 | 45 | 67 | 60 | 65 | 66 | 62 | 53 | 1 | 50 | 64 | 29 | 3,500,000$/3yrs | |||
Riley Barber | 0 | RW | 97.00 | 55 | 44 | 65 | 69 | 63 | 69 | 68 | 68 | 44 | 64 | 65 | 57 | 67 | 59 | 50 | 1 | 50 | 62 | 30 | 2,500,000$/3yrs | |||
Alex Chiasson | 0 | RW | 99.00 | 54 | 41 | 66 | 61 | 73 | 72 | 68 | 61 | 41 | 56 | 59 | 55 | 60 | 86 | 73 | 1 | 50 | 61 | 33 | 3,300,000$/1yrs | |||
Peter Abbandonato | 0 | C | 97.00 | 59 | 40 | 72 | 66 | 63 | 66 | 65 | 62 | 58 | 62 | 55 | 60 | 61 | 53 | 50 | 1 | 50 | 60 | 26 | 1,000,000$/2yrs | |||
Cole Koepke | 0 | LW/RW | 97.00 | 62 | 44 | 71 | 65 | 65 | 66 | 65 | 64 | 43 | 60 | 59 | 60 | 63 | 54 | 50 | 1 | 50 | 60 | 26 | 975,000$/1yrs | |||
Cole Reinhardt | 0 | LW | 100.00 | 63 | 50 | 59 | 64 | 67 | 65 | 64 | 62 | 42 | 61 | 55 | 59 | 60 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/1yrs | |||
Chase Wouters | 0 | C | 100.00 | 58 | 51 | 63 | 67 | 62 | 65 | 64 | 61 | 58 | 60 | 54 | 56 | 60 | 52 | 50 | 1 | 50 | 59 | 24 | 950,000$/2yrs | |||
Curtis Douglas | 0 | C | 100.00 | 70 | 66 | 51 | 56 | 77 | 65 | 64 | 61 | 58 | 58 | 53 | 58 | 57 | 52 | 50 | 1 | 50 | 58 | 24 | 1,250,000$/2yrs | |||
Tuukka Tieksola (R) | 0 | RW | 100.00 | 56 | 40 | 69 | 69 | 55 | 61 | 61 | 60 | 41 | 60 | 56 | 59 | 62 | 50 | 50 | 1 | 50 | 58 | 23 | 1,500,000$/3yrs | |||
Stefan Matteau (R) | 0 | LW | 100.00 | 60 | 43 | 63 | 60 | 65 | 65 | 63 | 57 | 40 | 54 | 54 | 56 | 57 | 61 | 53 | 1 | 50 | 57 | 30 | 975,000$/1yrs | |||
Danick Martel | 0 | LW | 100.00 | 53 | 50 | 67 | 66 | 55 | 67 | 66 | 61 | 41 | 56 | 54 | 52 | 61 | 57 | 50 | 1 | 50 | 57 | 29 | 975,000$/1yrs | |||
Steven Santini | 0 | D | 98.00 | 62 | 43 | 70 | 65 | 64 | 70 | 69 | 63 | 40 | 58 | 54 | 68 | 61 | 59 | 51 | 1 | 50 | 62 | 29 | 3,000,000$/3yrs | |||
Wyatte Wylie | 0 | D | 97.00 | 60 | 43 | 72 | 68 | 63 | 64 | 63 | 60 | 40 | 55 | 53 | 65 | 61 | 52 | 50 | 1 | 50 | 60 | 24 | 1,250,000$/2yrs | |||
Dean Stewart | 0 | D | 99.00 | 58 | 41 | 69 | 65 | 63 | 64 | 63 | 59 | 40 | 55 | 53 | 60 | 59 | 53 | 50 | 1 | 50 | 59 | 26 | 975,000$/1yrs | |||
Frank Hora | 0 | D | 99.00 | 62 | 46 | 67 | 63 | 66 | 65 | 62 | 55 | 40 | 52 | 51 | 64 | 56 | 55 | 50 | 1 | 50 | 59 | 28 | 975,000$/1yrs | |||
Eric Williams | 0 | D | 100.00 | 58 | 45 | 68 | 63 | 64 | 65 | 62 | 55 | 40 | 51 | 50 | 62 | 56 | 57 | 50 | 1 | 50 | 58 | 29 | 975,000$/1yrs | |||
Layton Ahac | 0 | D | 100.00 | 58 | 43 | 69 | 62 | 66 | 63 | 61 | 59 | 40 | 51 | 51 | 56 | 57 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Colt Conrad | 0 | C | 100.00 | 55 | 47 | 67 | 66 | 60 | 64 | 63 | 58 | 52 | 54 | 53 | 53 | 59 | 54 | 50 | 1 | 50 | 57 | 27 | 975,000$/1yrs | |||
David Cotton | 0 | C | 100.00 | 57 | 45 | 71 | 62 | 64 | 64 | 62 | 57 | 52 | 52 | 53 | 53 | 57 | 53 | 50 | 1 | 50 | 56 | 26 | 975,000$/2yrs | |||
Erik Brown | 0 | LW | 100.00 | 58 | 45 | 69 | 61 | 63 | 66 | 64 | 58 | 40 | 53 | 52 | 54 | 57 | 55 | 50 | 1 | 50 | 56 | 28 | 1,300,000$/2yrs | |||
Liam Kirk (R) | 0 | C | 100.00 | 51 | 44 | 52 | 59 | 52 | 53 | 48 | 51 | 40 | 50 | 50 | 51 | 52 | 50 | 50 | 1 | 50 | 51 | 24 | 1,200,000$/3yrs | |||
Austin Osmanski | 0 | D | 100.00 | 63 | 44 | 67 | 62 | 68 | 63 | 60 | 56 | 40 | 52 | 52 | 62 | 56 | 53 | 50 | 1 | 50 | 59 | 26 | ||||
Ben Finkelstein | 0 | D | 100.00 | 56 | 40 | 68 | 66 | 59 | 61 | 59 | 54 | 40 | 54 | 53 | 60 | 58 | 52 | 50 | 1 | 50 | 58 | 26 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Felix Sandstrom | 0 | 100.00 | 75 | 69 | 69 | 70 | 71 | 69 | 69 | 67 | 69 | 71 | 66 | 56 | 50 | 1 | 50 | 64 | 27 | 2,500,000$/3yrs |
Daniel Mannella | 0 | 100.00 | 64 | 59 | 57 | 61 | 60 | 57 | 57 | 53 | 59 | 60 | 57 | 54 | 50 | 1 | 50 | 54 | 28 | 1,500,000$/2yrs |
Scratches | ||||||||||||||||||||
Malcolm Subban | 0 | 94.00 | 73 | 71 | 74 | 71 | 71 | 69 | 71 | 67 | 69 | 73 | 69 | 65 | 58 | 1 | 50 | 65 | 30 | 4,000,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joe Sacco | 79 | 81 | 78 | 70 | 62 | 57 | 1 | USA | 55 | 3 | 1,000,000$ |
General Manager |
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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 |
# | 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 | Phil Di Giuseppe | Phantoms (PHI) | LW | 53 | 22 | 28 | 50 | 9 | 54 | 20 | 103 | 204 | 60 | 114 | 10.78% | 22 | 22.87 | 10 | 4 | 14 | 0 | 2 | 2 | 85 | 4 | 2 | 50.00% | 1 | 1 | 0.94 | 2 | 6 | 0.93 | |||
2 | Riley Barber | Phantoms (PHI) | RW | 55 | 21 | 28 | 49 | 14 | 23 | 5 | 118 | 142 | 43 | 79 | 14.79% | 13 | 18.82 | 5 | 6 | 11 | 0 | 0 | 0 | 25 | 4 | 2 | 45.95% | 0 | 0 | 0.89 | 2 | 4 | 0.92 | |||
3 | Andreas Johnsson | Phantoms (PHI) | LW/RW | 55 | 17 | 23 | 40 | 2 | 26 | 10 | 109 | 161 | 38 | 89 | 10.56% | 20 | 22.52 | 3 | 7 | 10 | 0 | 0 | 0 | 63 | 3 | 1 | 40.32% | 0 | 0 | 0.73 | 2 | 5 | 0.74 | |||
4 | Peter Abbandonato | Phantoms (PHI) | C | 55 | 11 | 27 | 38 | 14 | 32 | 10 | 98 | 87 | 32 | 53 | 12.64% | 19 | 19.27 | 5 | 6 | 11 | 0 | 0 | 0 | 40 | 2 | 0 | 45.70% | 0 | 0 | 0.69 | 0 | 0 | 0.62 | |||
5 | Cole Koepke | Phantoms (PHI) | LW/RW | 55 | 17 | 12 | 29 | 18 | 8 | 0 | 108 | 93 | 28 | 39 | 18.28% | 10 | 18.19 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 3 | 1 | 41.94% | 0 | 0 | 0.53 | 0 | 1 | 0.65 | |||
6 | Wyatte Wylie | Phantoms (PHI) | D | 55 | 2 | 19 | 21 | 25 | 29 | 5 | 68 | 56 | 28 | 32 | 3.57% | 42 | 25.28 | 0 | 6 | 6 | 0 | 0 | 0 | 93 | 1 | 0 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.45 | |||
7 | Dean Stewart | Phantoms (PHI) | D | 55 | 9 | 7 | 16 | 10 | 6 | 0 | 62 | 47 | 14 | 22 | 19.15% | 23 | 19.72 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 1 | 3 | 37.74% | 0 | 1 | 0.29 | 0 | 0 | 0.34 | |||
8 | Steven Santini | Phantoms (PHI) | D | 55 | 0 | 15 | 15 | -4 | 30 | 10 | 86 | 49 | 24 | 31 | 0.00% | 62 | 25.19 | 0 | 4 | 4 | 0 | 0 | 0 | 102 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.21 | |||
9 | Alex Chiasson | Phantoms (PHI) | RW | 53 | 4 | 10 | 14 | -4 | 21 | 5 | 61 | 58 | 17 | 48 | 6.90% | 14 | 15.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 40.43% | 0 | 0 | 0.26 | 0 | 0 | 0.21 | |||
10 | Frank Hora | Phantoms (PHI) | D | 55 | 1 | 9 | 10 | 17 | 28 | 10 | 48 | 29 | 14 | 17 | 3.45% | 36 | 20.24 | 0 | 2 | 2 | 0 | 0 | 0 | 64 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.21 | |||
11 | Liam Kirk | Phantoms (PHI) | C | 15 | 6 | 3 | 9 | 0 | 6 | 0 | 26 | 25 | 1 | 11 | 24.00% | 2 | 12.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 38.27% | 0 | 0 | 0.60 | 0 | 0 | 0.53 | |||
12 | Tuukka Tieksola | Phantoms (PHI) | RW | 55 | 3 | 6 | 9 | -1 | 11 | 5 | 49 | 42 | 16 | 39 | 7.14% | 6 | 9.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 0 | 0 | 0.16 | 0 | 0 | 0.17 | |||
13 | Cole Reinhardt | Phantoms (PHI) | LW | 37 | 3 | 5 | 8 | -4 | 24 | 10 | 59 | 46 | 26 | 39 | 6.52% | 10 | 14.02 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 50.00% | 0 | 0 | 0.22 | 0 | 0 | 0.17 | |||
14 | Eric Williams | Phantoms (PHI) | D | 55 | 2 | 5 | 7 | 9 | 53 | 15 | 45 | 23 | 17 | 7 | 8.70% | 22 | 17.96 | 0 | 0 | 0 | 0 | 1 | 1 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.03 | |||
15 | Stefan Matteau | Phantoms (PHI) | LW | 47 | 2 | 1 | 3 | 4 | 16 | 0 | 40 | 13 | 5 | 10 | 15.38% | 4 | 8.51 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 1 | 16.67% | 0 | 0 | 0.06 | 0 | 0 | 0.06 | |||
16 | Curtis Douglas | Phantoms (PHI) | C | 38 | 2 | 1 | 3 | 2 | 12 | 10 | 32 | 8 | 3 | 3 | 25.00% | 1 | 6.23 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 41.67% | 0 | 0 | 0.08 | 0 | 0 | 0.05 | |||
17 | Layton Ahac | Phantoms (PHI) | D | 38 | 2 | 0 | 2 | -7 | 6 | 0 | 10 | 6 | 0 | 5 | 33.33% | 1 | 10.69 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 1 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | -0.04 | |||
18 | Colt Conrad | Phantoms (PHI) | C | 21 | 0 | 1 | 1 | -1 | 2 | 0 | 8 | 1 | 2 | 3 | 0.00% | 1 | 5.39 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 55.00% | 0 | 0 | 0.05 | 0 | 0 | 0.00 | |||
19 | Danick Martel | Phantoms (PHI) | LW | 24 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.04 | 0 | 0 | 0.03 | |||
20 | Chase Wouters | Phantoms (PHI) | C | 40 | 0 | 0 | 0 | -2 | 0 | 0 | 7 | 4 | 0 | 2 | 0.00% | 1 | 2.07 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 66.67% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
Team Total or Average | 916 | 124 | 201 | 325 | 101 | 387 | 115 | 1137 | 1095 | 368 | 643 | 11.32% | 309 | 16.18 | 25 | 38 | 63 | 718 | 0 | 3 | 3 | 612 | 22 | 13 | 45.97% | 1403 | 246 | 246 | 1 | 2 | 0.44 | 6 | 16 |
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) | 53 | 27 | 14 | 11 | 0.907 | 2.06 | 3170 | 6 | 5 | 109 | 1172 | 655 | 0 | 3 | 0.588 | 17 | 52 | 2 | 9 | 1 | 1 |
2 | Felix Sandstrom | Phantoms (PHI) | 1 | 1 | 0 | 0 | 0.889 | 0.92 | 65 | 0 | 0 | 1 | 9 | 4 | 0 | 0 | 1.000 | 4 | 1 | 0 | 0 | 0 | 0 |
Team Total or Average | 54 | 28 | 14 | 11 | 0.907 | 2.04 | 3235 | 6 | 5 | 110 | 1181 | 659 | 0 | 3 | 0.667 | 21 | 53 | 2 | 9 | 1 | 1 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Chiasson | RW | 33 | 3,300,000$ | 3,300,000$ | UFA | ||||||
Andreas Johnsson | LW/RW | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Austin Osmanski | D | 26 | 0$ | RFA | |||||||
Ben Finkelstein | D | 26 | 0$ | UFA | |||||||
Chase Wouters | C | 24 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
Cole Koepke | LW/RW | 26 | 975,000$ | 975,000$ | RFA | ||||||
Cole Reinhardt | LW | 24 | 975,000$ | 975,000$ | RFA | ||||||
Colt Conrad | C | 27 | 975,000$ | 975,000$ | UFA | ||||||
Curtis Douglas | C | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Danick Martel | LW | 29 | 975,000$ | 975,000$ | UFA | ||||||
Daniel Mannella | G | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
David Cotton | C | 26 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Dean Stewart | D | 26 | 975,000$ | 975,000$ | RFA | ||||||
Eric Williams | D | 29 | 975,000$ | 975,000$ | UFA | ||||||
Erik Brown | LW | 28 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Felix Sandstrom | G | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Frank Hora | D | 28 | 975,000$ | 975,000$ | UFA | ||||||
Layton Ahac | D | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Liam Kirk | C | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Malcolm Subban | G | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Peter Abbandonato | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Phil Di Giuseppe | LW | 30 | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | UFA | ||||
Riley Barber | RW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Stefan Matteau | LW | 30 | 975,000$ | 975,000$ | UFA | ||||||
Steven Santini | D | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Tuukka Tieksola | RW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | ||||
Wyatte Wylie | D | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA |
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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 | Gulls | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 0.750 | 1 | 2 | 3 | 0 | 1 | 16 | 53 | 66 | 11 | 27 | 250 | 465 | 504 | 36 | 16 | 10 | 15 | 49 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 50.0% | 3.7% | 93.8% | 97.5 | DULL |
2 | Moose | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 16 | 53 | 66 | 11 | 22 | 250 | 465 | 504 | 36 | 22 | 4 | 14 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 85.7% | 27.3% | 95.5% | 122.7 | LUCKY |
3 | Bruins | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 14 | 15 | -1 | 5 | 0.625 | 14 | 23 | 37 | 0 | 0 | 16 | 53 | 66 | 11 | 111 | 250 | 465 | 504 | 36 | 132 | 38 | 65 | 92 | 12 | 5 | 41.67% | 10 | 1 | 90.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 39.1% | 12.6% | 88.6% | 101.2 | FUN |
4 | Americans | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 8 | -4 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 16 | 53 | 66 | 11 | 33 | 250 | 465 | 504 | 36 | 31 | 12 | 26 | 35 | 3 | 1 | 33.33% | 5 | 4 | 20.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 42.9% | 12.1% | 74.2% | 86.3 | FUN |
5 | Heat | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 1 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 16 | 53 | 66 | 11 | 41 | 250 | 465 | 504 | 36 | 21 | 10 | 6 | 48 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 66.7% | 9.8% | 85.7% | 95.5 | FUN |
6 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 16 | 53 | 66 | 11 | 48 | 250 | 465 | 504 | 36 | 75 | 24 | 29 | 43 | 3 | 2 | 66.67% | 7 | 2 | 71.43% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 30.0% | 10.4% | 88.0% | 98.4 | FUN |
7 | IceHogs | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 16 | 53 | 66 | 11 | 14 | 250 | 465 | 504 | 36 | 21 | 4 | 6 | 22 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 75.0% | 21.4% | 90.5% | 111.9 | FUN |
8 | Eagles | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 8 | -4 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 16 | 53 | 66 | 11 | 39 | 250 | 465 | 504 | 36 | 46 | 9 | 20 | 44 | 5 | 2 | 40.00% | 10 | 4 | 60.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 33.3% | 10.3% | 82.6% | 92.9 | FUN |
9 | Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 16 | 53 | 66 | 11 | 8 | 250 | 465 | 504 | 36 | 13 | 1 | 4 | 25 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 50.0% | 12.5% | 84.6% | 97.1 | FUN |
10 | Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 16 | 53 | 66 | 11 | 19 | 250 | 465 | 504 | 36 | 17 | 5 | 2 | 22 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 0.0% | 0.0% | 76.5% | 76.5 | Unlucky |
11 | Condors | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 16 | 53 | 66 | 11 | 27 | 250 | 465 | 504 | 36 | 20 | 7 | 6 | 17 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 50.0% | 11.1% | 80.0% | 91.1 | FUN |
12 | Checkers 1 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 4 | 7 | 5 | 0.833 | 11 | 21 | 32 | 0 | 1 | 16 | 53 | 66 | 11 | 102 | 250 | 465 | 504 | 36 | 46 | 14 | 17 | 94 | 6 | 4 | 66.67% | 6 | 0 | 100.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 63.6% | 10.8% | 91.3% | 102.1 | LUCKY |
13 | Reign | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 16 | 53 | 66 | 11 | 18 | 250 | 465 | 504 | 36 | 7 | 4 | 4 | 24 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 25.0% | 11.1% | 42.9% | 54.0 | FUN |
14 | Wild | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 16 | 53 | 66 | 11 | 30 | 250 | 465 | 504 | 36 | 21 | 7 | 4 | 36 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 60.0% | 10.0% | 90.5% | 100.5 | FUN |
15 | Rocket | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 11 | 18 | 0 | 1 | 16 | 53 | 66 | 11 | 52 | 250 | 465 | 504 | 36 | 36 | 8 | 8 | 60 | 9 | 1 | 11.11% | 4 | 0 | 100.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 85.7% | 13.5% | 97.2% | 110.7 | LUCKY |
16 | Comets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 16 | 53 | 66 | 11 | 14 | 250 | 465 | 504 | 36 | 27 | 6 | 10 | 18 | 0 | 0 | 0.00% | 5 | 2 | 60.00% | 1 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 50.0% | 21.4% | 81.5% | 102.9 | FUN |
17 | Islanders | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 4 | 7 | 7 | 0.875 | 11 | 22 | 33 | 0 | 1 | 16 | 53 | 66 | 11 | 84 | 250 | 465 | 504 | 36 | 63 | 17 | 14 | 108 | 8 | 2 | 25.00% | 7 | 2 | 71.43% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 81.8% | 13.1% | 93.7% | 106.7 | LUCKY |
18 | Wolf Pack | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 6 | 7 | 7 | 0.875 | 13 | 21 | 34 | 0 | 0 | 16 | 53 | 66 | 11 | 101 | 250 | 465 | 504 | 36 | 108 | 30 | 33 | 63 | 8 | 3 | 37.50% | 14 | 1 | 92.86% | 1 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 66.7% | 12.9% | 94.4% | 107.3 | LUCKY |
19 | Belleville Senators | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 16 | 53 | 66 | 11 | 29 | 250 | 465 | 504 | 36 | 27 | 11 | 6 | 28 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 100.0% | 6.9% | 96.3% | 103.2 | DULL |
20 | Roadrunners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 16 | 53 | 66 | 11 | 30 | 250 | 465 | 504 | 36 | 31 | 7 | 4 | 28 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 55.6% | 16.7% | 87.1% | 103.8 | FUN |
21 | Penguins | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.500 | 6 | 11 | 17 | 0 | 0 | 16 | 53 | 66 | 11 | 67 | 250 | 465 | 504 | 36 | 69 | 18 | 14 | 69 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 45.5% | 9.0% | 91.3% | 100.3 | LUCKY |
22 | Barracuda | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 16 | 53 | 66 | 11 | 59 | 250 | 465 | 504 | 36 | 58 | 15 | 15 | 63 | 10 | 1 | 10.00% | 5 | 2 | 60.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 55.6% | 10.2% | 89.7% | 99.8 | FUN |
23 | Thunderbirds | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 16 | 53 | 66 | 11 | 55 | 250 | 465 | 504 | 36 | 77 | 13 | 13 | 41 | 5 | 1 | 20.00% | 4 | 2 | 50.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 50.0% | 9.1% | 92.2% | 101.3 | LUCKY |
24 | Marlies | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 16 | 53 | 66 | 11 | 35 | 250 | 465 | 504 | 36 | 35 | 12 | 9 | 18 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 100.0% | 5.7% | 97.1% | 102.9 | DULL |
25 | Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 16 | 53 | 66 | 11 | 13 | 250 | 465 | 504 | 36 | 17 | 4 | 2 | 23 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 100.0% | 15.4% | 100.0% | 115.4 | LUCKY |
26 | Hershey Bears | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 10 | 13 | -3 | 3 | 0.375 | 10 | 14 | 24 | 1 | 0 | 16 | 53 | 66 | 11 | 100 | 250 | 465 | 504 | 36 | 152 | 41 | 54 | 76 | 7 | 1 | 14.29% | 12 | 4 | 66.67% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 50.0% | 10.0% | 91.4% | 101.4 | LUCKY |
27 | Silver Knights | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 8 | 6 | 2 | 6 | 0.750 | 8 | 13 | 21 | 0 | 0 | 16 | 53 | 66 | 11 | 56 | 250 | 465 | 504 | 36 | 51 | 18 | 15 | 96 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 58.3% | 14.3% | 88.2% | 102.5 | FUN |
_Vs Division | 13 | 12 | 6 | 0 | 0 | 5 | 0 | 1 | 40 | 30 | 10 | 30 | 1.154 | 40 | 65 | 105 | 0 | 2 | 16 | 53 | 66 | 11 | 362 | 250 | 465 | 504 | 36 | 307 | 95 | 131 | 327 | 33 | 12 | 36.36% | 30 | 7 | 76.67% | 0 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 54.9% | 11.0% | 90.2% | 101.3 | FUN | |
_Vs Conference | 33 | 16 | 9 | 0 | 0 | 5 | 1 | 2 | 91 | 75 | 16 | 41 | 0.621 | 91 | 152 | 243 | 2 | 4 | 16 | 53 | 66 | 11 | 797 | 250 | 465 | 504 | 36 | 831 | 236 | 291 | 752 | 69 | 21 | 30.43% | 80 | 19 | 76.25% | 2 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 55.6% | 11.4% | 91.0% | 102.4 | FUN | |
_Since Last GM Reset | 55 | 22 | 16 | 0 | 3 | 8 | 3 | 3 | 141 | 126 | 15 | 67 | 0.609 | 141 | 235 | 376 | 3 | 5 | 16 | 53 | 66 | 11 | 1234 | 250 | 465 | 504 | 36 | 1239 | 349 | 415 | 1260 | 110 | 28 | 25.45% | 127 | 34 | 73.23% | 3 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 55.1% | 11.4% | 89.8% | 101.3 | FUN | |
Total | 55 | 22 | 16 | 0 | 3 | 8 | 3 | 3 | 141 | 126 | 15 | 67 | 0.609 | 141 | 235 | 376 | 3 | 5 | 16 | 53 | 66 | 11 | 1234 | 250 | 465 | 504 | 36 | 1239 | 349 | 415 | 1260 | 110 | 28 | 25.45% | 127 | 34 | 73.23% | 3 | 440 | 906 | 48.57% | 440 | 878 | 50.11% | 303 | 625 | 48.48% | 1030 | 452 | 1047 | 579 | 1266 | 626 | 55.1% | 11.4% | 89.8% | 101.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 18 |
Neutral Zone | 23 |
Defensive Zone | 19 |
Puck Time | |
---|---|
Offensive Zone Start | 906 |
Neutral Zone Start | 625 |
Defensive Zone Start | 878 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1183 |
Faceoffs Lost | 1226 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.5 | 9.57 |
2nd Period | 13.0 | 20.31 |
3rd Period | 22.2 | 30.68 |
Overtime | 22.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 107 |
---|---|
PP Goal | 28 |
PK Goal | 3 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 14 | 14 |
Lost | 7 | 9 |
Overtime Lost | 7 | 4 |
PP Attempt | 110 |
---|---|
PP Goal | 28 |
PK Attempt | 127 |
PK Goal Against | 34 |
Home | |
---|---|
Shots For | 22.4 |
Shots Against | 22.5 |
Goals For | 2.6 |
Goals Against | 2.3 |
Hits | 22.9 |
Shots Blocked | 6.3 |
Pim | 7.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Oct 12 | PHI | @ | CHI | PHI3,CHI2 (OT) | RECAP | |||||||||
Sun, Oct 13 | PHI | @ | NYR | PHI1,NYR2 (OT) | RECAP | |||||||||
Tue, Oct 15 | FLO | @ | PHI | FLO3,PHI2 (OT) | RECAP | |||||||||
Thu, Oct 17 | PHI | @ | PIT | PHI4,PIT1 | RECAP | |||||||||
Sat, Oct 19 | PIT | @ | PHI | PIT1,PHI0 (OT) | RECAP | |||||||||
Mon, Oct 21 | BOS | @ | PHI | BOS5,PHI1 | RECAP | |||||||||
Thu, Oct 24 | S J | @ | PHI | S J1,PHI3 | RECAP | |||||||||
Sat, Oct 26 | PHI | @ | NYI | PHI2,NYI1 | RECAP | |||||||||
Mon, Oct 28 | PHI | @ | BOS | PHI5,BOS3 | RECAP | |||||||||
Tue, Oct 29 | NYI | @ | PHI | NYI1,PHI3 | RECAP | |||||||||
Thu, Oct 31 | PHI | @ | NYR | PHI5,NYR1 | RECAP | |||||||||
Sun, Nov 3 | NYR | @ | PHI | NYR1,PHI4 | RECAP | |||||||||
Tue, Nov 5 | WAS | @ | PHI | WAS2,PHI3 | RECAP | |||||||||
Wed, Nov 6 | PHI | @ | CAL | PHI3,CAL1 | RECAP | |||||||||
Fri, Nov 8 | PHI | @ | FLO | PHI6,FLO1 | RECAP | |||||||||
Sun, Nov 10 | PHO | @ | PHI | PHO4,PHI5 | RECAP | |||||||||
Tue, Nov 12 | PHI | @ | MTL | PHI5,MTL1 | RECAP | |||||||||
Thu, Nov 14 | NYR | @ | PHI | NYR2,PHI3 | RECAP | |||||||||
Sat, Nov 16 | MTL | @ | PHI | MTL0,PHI2 | RECAP | |||||||||
Mon, Nov 18 | PHI | @ | EDM | PHI3,EDM4 (SO) | RECAP | |||||||||
Wed, Nov 20 | PHI | @ | WAS | PHI3,WAS4 | RECAP | |||||||||
Fri, Nov 22 | MIN | @ | PHI | MIN2,PHI3 (SO) | RECAP | |||||||||
Mon, Nov 25 | PHI | @ | WPG | PHI6,WPG1 | RECAP | |||||||||
Tue, Nov 26 | NYI | @ | PHI | NYI2,PHI1 (OT) | RECAP | |||||||||
Thu, Nov 28 | PHI | @ | LOS | PHI2,LOS4 | RECAP | |||||||||
Sun, Dec 1 | CLB | @ | PHI | CLB2,PHI1 | RECAP | |||||||||
Mon, Dec 2 | PHI | @ | BUF | PHI3,BUF6 | RECAP | |||||||||
Wed, Dec 4 | S J | @ | PHI | S J3,PHI2 | RECAP | |||||||||
Sat, Dec 7 | PHI | @ | NYI | PHI5,NYI0 | RECAP | |||||||||
Mon, Dec 9 | WAS | @ | PHI | WAS4,PHI3 (SO) | RECAP | |||||||||
Thu, Dec 12 | PHI | @ | STL | PHI2,STL4 | RECAP | |||||||||
Fri, Dec 13 | TOR | @ | PHI | TOR1,PHI2 (SO) | RECAP | |||||||||
Mon, Dec 16 | PHI | @ | DAL | PHI0,DAL4 | RECAP | |||||||||
Wed, Dec 18 | PIT | @ | PHI | PIT4,PHI2 | RECAP | |||||||||
Fri, Dec 20 | PHI | @ | VAN | PHI2,VAN0 | RECAP | |||||||||
Sun, Dec 22 | COL | @ | PHI | COL3,PHI0 | RECAP | |||||||||
Wed, Dec 25 | OTT | @ | PHI | OTT1,PHI2 | RECAP | |||||||||
Sat, Dec 28 | ANA | @ | PHI | ANA0,PHI1 | RECAP | |||||||||
Mon, Dec 30 | PHI | @ | BOS | PHI5,BOS3 | RECAP | |||||||||
Tue, Dec 31 | FLO | @ | PHI | FLO0,PHI3 | RECAP | |||||||||
Thu, Jan 2 | PHI | @ | WAS | PHI1,WAS3 | RECAP | |||||||||
Sat, Jan 4 | BUF | @ | PHI | BUF2,PHI1 (SO) | RECAP | |||||||||
Mon, Jan 6 | PHI | @ | ANA | PHI0,ANA1 (OT) | RECAP | |||||||||
Wed, Jan 8 | CAL | @ | PHI | CAL2,PHI1 (OT) | RECAP | |||||||||
Fri, Jan 10 | PHI | @ | COL | PHI4,COL5 (OT) | RECAP | |||||||||
Sun, Jan 12 | CHI | @ | PHI | CHI1,PHI3 | RECAP | |||||||||
Tue, Jan 14 | PHI | @ | CHI | PHI0,CHI2 | RECAP | |||||||||
Thu, Jan 16 | BOS | @ | PHI | BOS4,PHI3 (OT) | RECAP | |||||||||
Sat, Jan 18 | PHI | @ | CHI | PHI3,CHI2 (OT) | RECAP | |||||||||
Sun, Jan 19 | CAR | @ | PHI | CAR4,PHI2 | RECAP | |||||||||
Tue, Jan 21 | PHI | @ | S J | PHI1,S J2 | RECAP | |||||||||
Thu, Jan 23 | STL | @ | PHI | STL2,PHI3 (OT) | RECAP | |||||||||
Sat, Jan 25 | PHI | @ | NJD | PHI3,NJD5 | RECAP | |||||||||
Sun, Jan 26 | CAR | @ | PHI | CAR5,PHI3 | RECAP | |||||||||
Tue, Jan 28 | PHI | @ | CHI | PHI2,CHI1 (SO) | RECAP | |||||||||
Fri, Jan 31 | PHI | @ | CAR | |||||||||||
Sat, Feb 1 | DET | @ | PHI | |||||||||||
Tue, Feb 4 | PHI | @ | PIT | |||||||||||
Wed, Feb 5 | TAM | @ | PHI | |||||||||||
Fri, Feb 7 | PHI | @ | TOR | |||||||||||
Sun, Feb 9 | DAL | @ | PHI | |||||||||||
Wed, Feb 12 | LOS | @ | PHI | |||||||||||
Thu, Feb 13 | PHI | @ | TAM | |||||||||||
Sun, Feb 16 | PHI | @ | DET | |||||||||||
Mon, Feb 17 | WPG | @ | PHI | |||||||||||
Wed, Feb 19 | PHI | @ | OTT | |||||||||||
Fri, Feb 21 | EDM | @ | PHI | |||||||||||
Sun, Feb 23 | PHI | @ | NAS | |||||||||||
Wed, Feb 26 | CHI | @ | PHI | |||||||||||
Fri, Feb 28 | PHI | @ | NYR | |||||||||||
Sat, Mar 1 | CHI | @ | PHI | |||||||||||
Tue, Mar 4 | PHI | @ | PHO | |||||||||||
Thu, Mar 6 | NAS | @ | PHI | |||||||||||
Mon, Mar 10 | SEA | @ | PHI | |||||||||||
Thu, Mar 13 | NJD | @ | PHI | |||||||||||
Sat, Mar 15 | PHI | @ | FLO | |||||||||||
Sun, Mar 16 | PHI | @ | CAR | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Tue, Mar 18 | PHI | @ | SEA | |||||||||||
Thu, Mar 20 | VAN | @ | PHI | |||||||||||
Sat, Mar 22 | PHI | @ | MIN | |||||||||||
Mon, Mar 24 | PHI | @ | CLB | |||||||||||
Wed, Mar 26 | SEA | @ | PHI |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
4,092,500$ | 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 |
13 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
4,092,500$ | 4,090,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,240,439$ | 0$ | 2,595,446$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 87 | 30,133$ | 1,807,980$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,807,980$ | 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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