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Full Scoreboard »» |
![]() | Philadelphia Flyers 16-19-8, 40pts · 14th in Eastern Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 99.00 | 65 | 35 | 88 | 73 | 76 | 89 | 94 | 79 | 95 | 80 | 78 | 87 | 79 | 91 | 95 | 33 | 78 | 37 | 7,800,000$/1yrs | |||||
![]() | C | 100.00 | 65 | 37 | 91 | 74 | 86 | 90 | 80 | 78 | 92 | 79 | 77 | 85 | 76 | 78 | 80 | 69 | 76 | 30 | 8,250,000$/2yrs | |||||
![]() | RW | 100.00 | 63 | 34 | 91 | 78 | 71 | 90 | 89 | 75 | 56 | 79 | 81 | 65 | 76 | 73 | 74 | 53 | 73 | 30 | 4,000,000$/4yrs | |||||
![]() | RW | 100.00 | 56 | 33 | 84 | 73 | 83 | 88 | 89 | 79 | 59 | 86 | 65 | 61 | 78 | 87 | 75 | 52 | 72 | 33 | 7,500,000$/2yrs | |||||
![]() | LW | 99.00 | 64 | 38 | 92 | 76 | 68 | 87 | 91 | 71 | 59 | 73 | 72 | 67 | 76 | 68 | 71 | 78 | 70 | 25 | 3,000,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 55 | 39 | 92 | 74 | 78 | 82 | 87 | 69 | 75 | 70 | 67 | 76 | 71 | 73 | 69 | 52 | 70 | 30 | 2,800,000$/1yrs | |||||
![]() | LW | 99.00 | 68 | 42 | 82 | 70 | 79 | 86 | 88 | 71 | 56 | 70 | 71 | 72 | 69 | 75 | 73 | 62 | 70 | 30 | 4,500,000$/3yrs | |||||
![]() | RW | 100.00 | 90 | 76 | 72 | 66 | 85 | 81 | 90 | 63 | 58 | 65 | 66 | 78 | 62 | 73 | 75 | 34 | 69 | 31 | 3,000,000$/4yrs | |||||
![]() | RW | 100.00 | 59 | 35 | 91 | 77 | 76 | 86 | 89 | 76 | 56 | 72 | 65 | 57 | 76 | 63 | 64 | 87 | 68 | 23 | 2,250,000$/2yrs | |||||
![]() | C | 100.00 | 81 | 39 | 92 | 64 | 80 | 79 | 75 | 62 | 89 | 63 | 62 | 75 | 62 | 69 | 70 | 35 | 67 | 30 | 950,000$/2yrs | |||||
![]() | D | 100.00 | 90 | 38 | 79 | 63 | 91 | 92 | 83 | 64 | 30 | 73 | 59 | 82 | 53 | 74 | 68 | 71 | 74 | 28 | 5,750,000$/4yrs | |||||
![]() | D | 100.00 | 86 | 35 | 82 | 75 | 71 | 90 | 89 | 72 | 30 | 81 | 58 | 74 | 52 | 69 | 73 | 37 | 73 | 27 | 3,750,000$/1yrs | |||||
![]() | D | 99.00 | 62 | 36 | 90 | 71 | 81 | 93 | 88 | 72 | 30 | 81 | 62 | 76 | 54 | 67 | 73 | 68 | 72 | 26 | 3,500,000$/4yrs | |||||
![]() | D | 100.00 | 78 | 71 | 69 | 61 | 87 | 83 | 79 | 62 | 30 | 71 | 59 | 82 | 50 | 65 | 66 | 56 | 71 | 27 | 1,150,000$/2yrs | |||||
![]() | D | 100.00 | 56 | 33 | 84 | 81 | 66 | 93 | 92 | 75 | 30 | 91 | 64 | 66 | 53 | 65 | 69 | 86 | 71 | 23 | 3,500,000$/2yrs | |||||
![]() | D | 100.00 | 56 | 35 | 92 | 73 | 75 | 91 | 85 | 71 | 30 | 76 | 62 | 72 | 54 | 75 | 71 | 34 | 70 | 31 | 4,000,000$/1yrs | |||||
![]() | D | 100.00 | 77 | 34 | 91 | 63 | 72 | 86 | 84 | 59 | 30 | 67 | 58 | 78 | 50 | 73 | 72 | 27 | 70 | 32 | 2,800,000$/3yrs | |||||
![]() | D | 100.00 | 57 | 34 | 95 | 76 | 71 | 88 | 82 | 70 | 30 | 76 | 69 | 66 | 57 | 65 | 66 | 65 | 69 | 25 | 3,000,000$/3yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW | 100.00 | 78 | 45 | 62 | 58 | 87 | 75 | 80 | 57 | 62 | 58 | 57 | 60 | 58 | 71 | 73 | 47 | 62 | 31 | 975,000$/2yrs | |||||
TEAM AVERAGE | 99.79 | 69 | 40 | 85 | 71 | 78 | 87 | 86 | 70 | 52 | 74 | 66 | 73 | 63 | 72 | 72 | 55 | 71 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 96.00 | 89 | 92 | 86 | 82 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 77 | 83 | 61 | 78 | 29 | 5,500,000$/1yrs | |
![]() | 0 | 99.00 | 74 | 77 | 75 | 83 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 70 | 83 | 66 | 68 | 29 | 4,250,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 97.50 | 82 | 85 | 81 | 83 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 74 | 83 | 64 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Scott Arniel | 68 | 71 | 74 | 66 | 89 | 83 | 57 | CAN | 60 | 4 | 500,000$ |
General Manager | Luc Gregoire |
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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 | Patrice Bergeron | ![]() | 0 | C | 42 | 20 | 26 | 46 | -10 | 18 | 0 | 61 | 156 | 43 | 89 | 12.82% | 33 | 25.15 | 4 | 9 | 13 | 3 | 1 | 4 | 98 | 3 | 1 | 54.55% | 0 | 0 | 1.10 | 0 | 3 | 1.00 | ||
2 | Anthony Beauvillier | ![]() | 0 | LW | 43 | 20 | 23 | 43 | -2 | 20 | 0 | 52 | 133 | 43 | 71 | 15.04% | 27 | 21.86 | 9 | 8 | 17 | 2 | 1 | 3 | 116 | 3 | 0 | 35.56% | 0 | 0 | 1.00 | 1 | 3 | 0.91 | ||
3 | Sean Couturier | ![]() | 0 | C | 35 | 17 | 24 | 41 | 3 | 8 | 0 | 42 | 145 | 28 | 95 | 11.72% | 27 | 21.58 | 4 | 9 | 13 | 0 | 0 | 0 | 68 | 2 | 1 | 54.59% | 1 | 0 | 1.17 | 0 | 5 | 1.23 | ||
4 | Bryan Rust | ![]() | 0 | RW | 36 | 21 | 16 | 37 | 6 | 8 | 0 | 50 | 163 | 46 | 97 | 12.88% | 17 | 19.57 | 7 | 6 | 13 | 0 | 0 | 0 | 25 | 2 | 2 | 32.31% | 0 | 1 | 1.03 | 1 | 5 | 1.19 | ||
5 | Tanner Pearson | ![]() | 0 | LW | 43 | 6 | 25 | 31 | -3 | 34 | 0 | 56 | 102 | 33 | 78 | 5.88% | 19 | 18.87 | 1 | 7 | 8 | 0 | 0 | 0 | 4 | 3 | 0 | 43.14% | 0 | 0 | 0.72 | 2 | 5 | 0.59 | ||
6 | Jakub Voracek | ![]() | 0 | RW | 43 | 14 | 15 | 29 | -2 | 32 | 0 | 49 | 136 | 39 | 86 | 10.29% | 14 | 17.26 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 2 | 0 | 48.57% | 0 | 0 | 0.67 | 0 | 0 | 0.65 | ||
7 | Rasmus Andersson | ![]() | 0 | D | 43 | 2 | 16 | 18 | -17 | 19 | 5 | 41 | 63 | 20 | 31 | 3.17% | 64 | 25.84 | 2 | 3 | 5 | 0 | 1 | 1 | 138 | 0 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 0 | 0.26 | ||
8 | Patrick Brown | ![]() | 0 | C | 43 | 2 | 9 | 11 | -6 | 0 | 0 | 37 | 35 | 8 | 17 | 5.71% | 10 | 10.78 | 0 | 5 | 5 | 0 | 0 | 0 | 107 | 0 | 0 | 58.05% | 0 | 0 | 0.26 | 0 | 0 | 0.21 | ||
9 | Nate Schmidt | ![]() | 0 | D | 43 | 2 | 9 | 11 | 1 | 6 | 0 | 17 | 38 | 7 | 13 | 5.26% | 25 | 16.08 | 1 | 4 | 5 | 0 | 0 | 0 | 14 | 0 | 1 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.25 | ||
10 | Mattias Janmark | ![]() | 0 | C/LW/RW | 43 | 5 | 6 | 11 | -1 | 4 | 0 | 16 | 70 | 25 | 53 | 7.14% | 16 | 12.27 | 0 | 1 | 1 | 0 | 1 | 1 | 36 | 1 | 0 | 52.63% | 0 | 0 | 0.26 | 0 | 0 | 0.33 | ||
11 | Neal Pionk | ![]() | 0 | D | 43 | 2 | 8 | 10 | 2 | 30 | 0 | 57 | 39 | 21 | 22 | 5.13% | 43 | 19.73 | 1 | 1 | 2 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.20 | ||
12 | Rasmus Ristolainen | ![]() | 0 | D | 43 | 0 | 8 | 8 | -12 | 64 | 0 | 50 | 46 | 15 | 20 | 0.00% | 63 | 22.59 | 0 | 0 | 0 | 0 | 1 | 1 | 143 | 0 | 0 | 100.00% | 0 | 0 | 0.19 | 0 | 0 | -0.07 | ||
13 | Filip Zadina | ![]() | 0 | RW | 43 | 5 | 2 | 7 | -5 | 4 | 0 | 17 | 39 | 17 | 31 | 12.82% | 4 | 6.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 60.00% | 0 | 0 | 0.16 | 0 | 0 | 0.16 | ||
14 | Jacob Middleton | ![]() | 0 | D | 43 | 0 | 7 | 7 | 9 | 52 | 0 | 49 | 24 | 16 | 12 | 0.00% | 52 | 20.20 | 0 | 0 | 0 | 0 | 2 | 2 | 154 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.08 | ||
15 | Garnet Hathaway | ![]() | 0 | RW | 43 | 3 | 4 | 7 | 0 | 28 | 0 | 67 | 33 | 14 | 32 | 9.09% | 21 | 14.23 | 0 | 0 | 0 | 1 | 1 | 2 | 152 | 1 | 0 | 28.57% | 0 | 0 | 0.16 | 0 | 1 | 0.12 | ||
16 | Garrett Wilson | ![]() | 0 | LW | 26 | 3 | 2 | 5 | -8 | 32 | 0 | 38 | 19 | 2 | 4 | 15.79% | 9 | 14.27 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 41.77% | 0 | 0 | 0.19 | 0 | 0 | -0.13 | ||
17 | Chad Ruhwedel | ![]() | 0 | D | 43 | 0 | 3 | 3 | 3 | 4 | 0 | 40 | 22 | 8 | 9 | 0.00% | 48 | 16.74 | 0 | 1 | 1 | 0 | 0 | 0 | 93 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.16 | ||
18 | Quinn Hughes | ![]() | 0 | D | 22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.22 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | ||
19 | Oliver Kylington | ![]() | 0 | D | 32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | ||
Team Total or Average | 752 | 122 | 203 | 325 | -42 | 363 | 5 | 739 | 1263 | 385 | 760 | 9.66% | 492 | 16.62 | 32 | 59 | 91 | 1163 | 6 | 8 | 14 | 1215 | 18 | 5 | 49.34% | 2803 | 238 | 332 | 1 | 1 | 0.52 | 4 | 22 |
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 | John Gibson | ![]() | 32 | 13 | 11 | 8 | 0.913 | 2.93 | 1928 | 10 | 0 | 94 | 1082 | 478 | 3 | 0 | 0.476 | 21 | 31 | 12 | 5 | 5 | 2 |
2 | Malcolm Subban | ![]() | 12 | 3 | 8 | 0 | 0.887 | 3.86 | 684 | 0 | 0 | 44 | 391 | 203 | 0 | 1 | 0.000 | 0 | 12 | 31 | 0 | 1 | 1 |
Team Total or Average | 44 | 16 | 19 | 8 | 0.906 | 3.17 | 2613 | 10 | 0 | 138 | 1473 | 681 | 3 | 1 | 0.476 | 21 | 43 | 43 | 5 | 6 | 3 |
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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 33 | 3 | 9 | 21 | 0 | 38 | 9 | 10 | 15 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 20 | 10 | 21 | 8 | 17 | 9 | 50.0% | 3.0% | 94.7% | 97.8 | DULL |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 1 | 59 | 18 | 19 | 21 | 6 | 61 | 29 | 22 | 22 | 4 | 2 | 50.00% | 11 | 2 | 81.82% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 40 | 20 | 47 | 19 | 37 | 18 | 50.0% | 8.5% | 91.8% | 100.3 | DULL |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 29 | 7 | 18 | 4 | 0 | 31 | 8 | 8 | 16 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 22 | 13 | 19 | 8 | 17 | 8 | 40.0% | 6.9% | 87.1% | 94.0 | Unlucky |
4 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 1 | 0 | 0 | 1 | 3 | 1 | 39 | 9 | 13 | 17 | 5 | 68 | 22 | 10 | 34 | 8 | 1 | 12.50% | 5 | 2 | 60.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 39 | 19 | 45 | 20 | 40 | 20 | 37.5% | 10.3% | 89.7% | 100.0 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 3 | 0 | 57 | 9 | 26 | 22 | 0 | 76 | 22 | 10 | 43 | 8 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 36 | 18 | 46 | 18 | 36 | 18 | 46.2% | 10.5% | 89.5% | 100.0 | FUN |
6 | ![]() | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 13 | -3 | 3 | 0.500 | 10 | 16 | 26 | 0 | 0 | 2 | 4 | 4 | 0 | 93 | 20 | 39 | 34 | 0 | 93 | 31 | 28 | 46 | 6 | 4 | 66.67% | 14 | 3 | 78.57% | 1 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 58 | 30 | 66 | 30 | 57 | 26 | 37.5% | 10.8% | 86.0% | 96.8 | FUN |
7 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 34 | 13 | 17 | 4 | 0 | 30 | 11 | 8 | 16 | 8 | 3 | 37.50% | 4 | 1 | 75.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 24 | 13 | 18 | 9 | 17 | 9 | 0.0% | 8.8% | 96.7% | 105.5 | DULL |
8 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 10 | -5 | 1 | 0.250 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 1 | 63 | 24 | 19 | 19 | 5 | 76 | 26 | 26 | 47 | 7 | 2 | 28.57% | 13 | 4 | 69.23% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 41 | 23 | 47 | 20 | 35 | 16 | 33.3% | 7.9% | 86.8% | 94.8 | Unlucky |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 4 | 0 | 1 | 0 | 35 | 23 | 3 | 9 | 0 | 34 | 15 | 4 | 13 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 22 | 13 | 19 | 7 | 17 | 9 | 66.7% | 14.3% | 91.2% | 105.5 | LUCKY |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 1 | 24 | 9 | 8 | 7 | 3 | 30 | 4 | 4 | 13 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 20 | 9 | 22 | 10 | 21 | 10 | 33.3% | 4.2% | 93.3% | 97.5 | DULL |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 1 | 0 | 35 | 11 | 15 | 9 | 0 | 34 | 13 | 6 | 14 | 6 | 3 | 50.00% | 3 | 1 | 66.67% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 21 | 13 | 21 | 9 | 16 | 8 | 66.7% | 14.3% | 94.1% | 108.4 | LUCKY |
12 | ![]() | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 14 | -7 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 1 | 2 | 4 | 0 | 91 | 23 | 27 | 41 | 0 | 92 | 40 | 45 | 64 | 5 | 1 | 20.00% | 20 | 5 | 75.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 56 | 28 | 68 | 29 | 55 | 25 | 40.0% | 7.7% | 84.8% | 92.5 | Unlucky |
13 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 0 | 3 | 1 | 0 | 69 | 18 | 30 | 21 | 0 | 73 | 21 | 16 | 38 | 4 | 2 | 50.00% | 8 | 3 | 62.50% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 42 | 25 | 41 | 17 | 35 | 17 | 50.0% | 5.8% | 93.2% | 98.9 | DULL |
14 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 49 | 16 | 21 | 12 | 0 | 64 | 16 | 26 | 36 | 11 | 1 | 9.09% | 13 | 3 | 76.92% | 1 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 38 | 18 | 43 | 21 | 38 | 17 | 40.0% | 10.2% | 85.9% | 96.1 | FUN |
15 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 64 | 22 | 29 | 13 | 0 | 79 | 27 | 10 | 38 | 10 | 2 | 20.00% | 5 | 0 | 100.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 44 | 25 | 42 | 16 | 33 | 17 | 55.6% | 10.9% | 94.9% | 105.9 | LUCKY |
16 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 1 | 1 | 47 | 14 | 13 | 18 | 2 | 57 | 25 | 20 | 41 | 7 | 1 | 14.29% | 10 | 2 | 80.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 38 | 17 | 42 | 20 | 40 | 20 | 40.0% | 6.4% | 91.2% | 97.6 | DULL |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 11 | 8 | 9 | 0 | 34 | 10 | 14 | 23 | 9 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 21 | 10 | 19 | 8 | 18 | 10 | 33.3% | 3.6% | 88.2% | 91.8 | Unlucky |
18 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 1 | 4 | 0 | 0 | 69 | 23 | 26 | 18 | 4 | 69 | 21 | 8 | 32 | 6 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 42 | 23 | 42 | 19 | 39 | 19 | 50.0% | 7.2% | 89.9% | 97.1 | Unlucky |
19 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 3 | 0 | 1 | 0 | 31 | 19 | 2 | 10 | 0 | 32 | 7 | 8 | 13 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 21 | 11 | 19 | 9 | 18 | 9 | 33.3% | 12.9% | 84.4% | 97.3 | FUN |
20 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 11 | -5 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 72 | 20 | 23 | 29 | 3 | 63 | 24 | 12 | 38 | 6 | 0 | 0.00% | 6 | 4 | 33.33% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 47 | 27 | 39 | 18 | 37 | 18 | 46.2% | 8.3% | 82.5% | 90.9 | Unlucky |
21 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 2 | 1 | 4 | 0 | 86 | 25 | 35 | 26 | 0 | 116 | 31 | 26 | 57 | 12 | 3 | 25.00% | 13 | 2 | 84.62% | 1 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 59 | 30 | 67 | 29 | 53 | 26 | 44.4% | 8.1% | 94.0% | 102.1 | DULL |
22 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 1 | 1 | 31 | 2 | 21 | 7 | 1 | 42 | 7 | 12 | 16 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 18 | 10 | 24 | 10 | 18 | 8 | 60.0% | 16.1% | 90.5% | 106.6 | FUN |
23 | ![]() | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 8 | 8 | 8 | 1.000 | 16 | 29 | 45 | 0 | 0 | 6 | 3 | 7 | 0 | 114 | 53 | 28 | 33 | 0 | 151 | 57 | 40 | 58 | 8 | 2 | 25.00% | 20 | 2 | 90.00% | 1 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 76 | 41 | 91 | 37 | 71 | 34 | 70.0% | 14.0% | 94.7% | 108.7 | LUCKY |
24 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 6 | 6 | 14 | 0 | 31 | 10 | 4 | 17 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 18 | 9 | 23 | 9 | 18 | 8 | 16.7% | 3.8% | 83.9% | 87.7 | Unlucky |
_Vs Division | 17 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 47 | 60 | -13 | 14 | 0.412 | 47 | 80 | 127 | 1 | 0 | 11 | 15 | 21 | 1 | 483 | 150 | 166 | 167 | 5 | 575 | 197 | 179 | 299 | 51 | 11 | 21.57% | 87 | 20 | 77.01% | 3 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 333 | 174 | 375 | 166 | 316 | 152 | 47.4% | 9.7% | 89.6% | 99.3 | FUN | |
_Vs Conference | 29 | 10 | 13 | 0 | 0 | 1 | 0 | 5 | 78 | 99 | -21 | 26 | 0.448 | 78 | 132 | 210 | 1 | 0 | 20 | 23 | 35 | 4 | 851 | 268 | 299 | 282 | 22 | 1000 | 338 | 279 | 514 | 95 | 20 | 21.05% | 137 | 32 | 76.64% | 4 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 587 | 312 | 642 | 280 | 536 | 261 | 46.4% | 9.2% | 90.1% | 99.3 | FUN | |
_Since Last GM Reset | 43 | 14 | 19 | 0 | 2 | 2 | 0 | 6 | 118 | 145 | -27 | 40 | 0.465 | 118 | 197 | 315 | 1 | 0 | 33 | 38 | 45 | 6 | 1278 | 398 | 455 | 418 | 29 | 1474 | 486 | 377 | 750 | 149 | 32 | 21.48% | 185 | 45 | 75.68% | 4 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 875 | 467 | 943 | 413 | 796 | 391 | 46.2% | 9.2% | 90.2% | 99.4 | FUN | |
Total | 43 | 14 | 19 | 0 | 2 | 2 | 0 | 6 | 118 | 145 | -27 | 40 | 0.465 | 118 | 197 | 315 | 1 | 0 | 33 | 38 | 45 | 6 | 1278 | 398 | 455 | 418 | 29 | 1474 | 486 | 377 | 750 | 149 | 32 | 21.48% | 185 | 45 | 75.68% | 4 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 875 | 467 | 943 | 413 | 796 | 391 | 46.2% | 9.2% | 90.2% | 99.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1005 |
Neutral Zone Start | 570 |
Defensive Zone Start | 1129 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1315 |
Faceoffs Lost | 1389 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 29.6 | 30.68 |
Overtime | 30.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 81 |
---|---|
PP Goal | 32 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 8 | 8 |
Lost | 10 | 9 |
Overtime Lost | 2 | 6 |
PP Attempt | 149 |
---|---|
PP Goal | 32 |
PK Attempt | 185 |
PK Goal Against | 45 |
Home | |
---|---|
Shots For | 29.7 |
Shots Against | 34.3 |
Goals For | 2.7 |
Goals Against | 3.4 |
Hits | 17.4 |
Shots Blocked | 11.3 |
Pim | 8.8 |
![]() | |
Projected Total Cap Hit | 82,225,000$ |
Projected Cap Space | 275,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 43,022,510$ |
Players In Salary Cap | 21 |
Contracts | 47/50 |
LTIR Players | 0 |
Flyers Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Beauvillier ![]() | LW | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ![]() | |||||
Bryan Rust ![]() | RW | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Chad Ruhwedel ![]() | D | 32 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | ||||
Filip Zadina ![]() | RW | 23 | 2,250,000$ | 2,250,000$ | 2,250,000$ | RFA | |||||
Garnet Hathaway ![]() | RW | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Garrett Wilson ![]() | LW | 31 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Jacob Middleton ![]() | D | 27 | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | |||||
Jakub Voracek ![]() | RW | 33 | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||||
John Gibson ![]() | G | 29 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Malcolm Subban ![]() | G | 29 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Mattias Janmark ![]() | C/LW/RW | 30 | 2,800,000$ | 2,800,000$ | UFA | ||||||
Nate Schmidt ![]() | D | 31 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Neal Pionk ![]() | D | 27 | 3,750,000$ | 3,750,000$ | ![]() | ||||||
Oliver Kylington ![]() | D | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Patrice Bergeron ![]() | C | 37 | 7,800,000$ | 7,800,000$ | UFA | ||||||
Patrick Brown ![]() | C | 30 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Quinn Hughes ![]() | D | 23 | 3,500,000$ | 3,500,000$ | 3,500,000$ | RFA | |||||
Rasmus Andersson ![]() | D | 26 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Rasmus Ristolainen ![]() | D | 28 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |||
Sean Couturier ![]() | C | 30 | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA | |||||
Tanner Pearson ![]() | LW | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ness ![]() | D | 32 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Alex Chiasson ![]() | RW | 32 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | UFA | ||||
Chase Wouters ![]() | C | 22 | 975,000$ | 975,000$ | RFA | ||||||
Cole Reinhardt ![]() | LW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Colt Conrad ![]() | C | 25 | 975,000$ | 975,000$ | ![]() | ||||||
Curtis Douglas ![]() | C | 22 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||
Danick Martel ![]() | LW | 28 | 975,000$ | 975,000$ | UFA | ||||||
Daniel Mannella ![]() | G | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
David Cotton ![]() | C | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Dean Stewart ![]() | D | 24 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Devante Smith-Pelly ![]() | RW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Edward Wittchow ![]() | D | 30 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Eric Williams ![]() | D | 27 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Erik Brown ![]() | LW | 27 | 975,000$ | 975,000$ | ![]() | ||||||
Felix Sandstrom ![]() | G | 26 | 950,000$ | 950,000$ | ![]() | ||||||
Frank Hora ![]() | D | 26 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Joshua Ho-Sang ![]() | RW | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Ken Appleby ![]() | G | 27 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Matthew Villalta ![]() | G | 23 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | ![]() | ||||
Ostap Safin ![]() | LW | 23 | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | ![]() | |||
Riley Barber ![]() | RW | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Ryan Murphy ![]() | D | 29 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Stefan Matteau ![]() | C | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Stephen Baylis ![]() | LW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Steven Santini ![]() | D | 27 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Wyatte Wylie ![]() | D | 23 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() |
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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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 33 | 3 | 9 | 21 | 0 | 38 | 9 | 10 | 15 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 20 | 10 | 21 | 8 | 17 | 9 | 50.0% | 3.0% | 94.7% | 97.8 | DULL |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 2 | 0 | 3 | 1 | 59 | 18 | 19 | 21 | 6 | 61 | 29 | 22 | 22 | 4 | 2 | 50.00% | 11 | 2 | 81.82% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 40 | 20 | 47 | 19 | 37 | 18 | 50.0% | 8.5% | 91.8% | 100.3 | DULL |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 29 | 7 | 18 | 4 | 0 | 31 | 8 | 8 | 16 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 22 | 13 | 19 | 8 | 17 | 8 | 40.0% | 6.9% | 87.1% | 94.0 | Unlucky |
4 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 1 | 0 | 0 | 1 | 3 | 1 | 39 | 9 | 13 | 17 | 5 | 68 | 22 | 10 | 34 | 8 | 1 | 12.50% | 5 | 2 | 60.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 39 | 19 | 45 | 20 | 40 | 20 | 37.5% | 10.3% | 89.7% | 100.0 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 3 | 0 | 57 | 9 | 26 | 22 | 0 | 76 | 22 | 10 | 43 | 8 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 36 | 18 | 46 | 18 | 36 | 18 | 46.2% | 10.5% | 89.5% | 100.0 | FUN |
6 | ![]() | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 13 | -3 | 3 | 0.500 | 10 | 16 | 26 | 0 | 0 | 2 | 4 | 4 | 0 | 93 | 20 | 39 | 34 | 0 | 93 | 31 | 28 | 46 | 6 | 4 | 66.67% | 14 | 3 | 78.57% | 1 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 58 | 30 | 66 | 30 | 57 | 26 | 37.5% | 10.8% | 86.0% | 96.8 | FUN |
7 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 34 | 13 | 17 | 4 | 0 | 30 | 11 | 8 | 16 | 8 | 3 | 37.50% | 4 | 1 | 75.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 24 | 13 | 18 | 9 | 17 | 9 | 0.0% | 8.8% | 96.7% | 105.5 | DULL |
8 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 10 | -5 | 1 | 0.250 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 1 | 63 | 24 | 19 | 19 | 5 | 76 | 26 | 26 | 47 | 7 | 2 | 28.57% | 13 | 4 | 69.23% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 41 | 23 | 47 | 20 | 35 | 16 | 33.3% | 7.9% | 86.8% | 94.8 | Unlucky |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 4 | 0 | 1 | 0 | 35 | 23 | 3 | 9 | 0 | 34 | 15 | 4 | 13 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 22 | 13 | 19 | 7 | 17 | 9 | 66.7% | 14.3% | 91.2% | 105.5 | LUCKY |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 1 | 24 | 9 | 8 | 7 | 3 | 30 | 4 | 4 | 13 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 20 | 9 | 22 | 10 | 21 | 10 | 33.3% | 4.2% | 93.3% | 97.5 | DULL |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 1 | 0 | 35 | 11 | 15 | 9 | 0 | 34 | 13 | 6 | 14 | 6 | 3 | 50.00% | 3 | 1 | 66.67% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 21 | 13 | 21 | 9 | 16 | 8 | 66.7% | 14.3% | 94.1% | 108.4 | LUCKY |
12 | ![]() | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 14 | -7 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 1 | 2 | 4 | 0 | 91 | 23 | 27 | 41 | 0 | 92 | 40 | 45 | 64 | 5 | 1 | 20.00% | 20 | 5 | 75.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 56 | 28 | 68 | 29 | 55 | 25 | 40.0% | 7.7% | 84.8% | 92.5 | Unlucky |
13 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 0 | 3 | 1 | 0 | 69 | 18 | 30 | 21 | 0 | 73 | 21 | 16 | 38 | 4 | 2 | 50.00% | 8 | 3 | 62.50% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 42 | 25 | 41 | 17 | 35 | 17 | 50.0% | 5.8% | 93.2% | 98.9 | DULL |
14 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 49 | 16 | 21 | 12 | 0 | 64 | 16 | 26 | 36 | 11 | 1 | 9.09% | 13 | 3 | 76.92% | 1 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 38 | 18 | 43 | 21 | 38 | 17 | 40.0% | 10.2% | 85.9% | 96.1 | FUN |
15 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 64 | 22 | 29 | 13 | 0 | 79 | 27 | 10 | 38 | 10 | 2 | 20.00% | 5 | 0 | 100.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 44 | 25 | 42 | 16 | 33 | 17 | 55.6% | 10.9% | 94.9% | 105.9 | LUCKY |
16 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 1 | 1 | 47 | 14 | 13 | 18 | 2 | 57 | 25 | 20 | 41 | 7 | 1 | 14.29% | 10 | 2 | 80.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 38 | 17 | 42 | 20 | 40 | 20 | 40.0% | 6.4% | 91.2% | 97.6 | DULL |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 11 | 8 | 9 | 0 | 34 | 10 | 14 | 23 | 9 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 21 | 10 | 19 | 8 | 18 | 10 | 33.3% | 3.6% | 88.2% | 91.8 | Unlucky |
18 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 1 | 4 | 0 | 0 | 69 | 23 | 26 | 18 | 4 | 69 | 21 | 8 | 32 | 6 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 42 | 23 | 42 | 19 | 39 | 19 | 50.0% | 7.2% | 89.9% | 97.1 | Unlucky |
19 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 3 | 0 | 1 | 0 | 31 | 19 | 2 | 10 | 0 | 32 | 7 | 8 | 13 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 21 | 11 | 19 | 9 | 18 | 9 | 33.3% | 12.9% | 84.4% | 97.3 | FUN |
20 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 11 | -5 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 0 | 3 | 3 | 0 | 72 | 20 | 23 | 29 | 3 | 63 | 24 | 12 | 38 | 6 | 0 | 0.00% | 6 | 4 | 33.33% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 47 | 27 | 39 | 18 | 37 | 18 | 46.2% | 8.3% | 82.5% | 90.9 | Unlucky |
21 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 2 | 1 | 4 | 0 | 86 | 25 | 35 | 26 | 0 | 116 | 31 | 26 | 57 | 12 | 3 | 25.00% | 13 | 2 | 84.62% | 1 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 59 | 30 | 67 | 29 | 53 | 26 | 44.4% | 8.1% | 94.0% | 102.1 | DULL |
22 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 1 | 1 | 31 | 2 | 21 | 7 | 1 | 42 | 7 | 12 | 16 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 18 | 10 | 24 | 10 | 18 | 8 | 60.0% | 16.1% | 90.5% | 106.6 | FUN |
23 | ![]() | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 8 | 8 | 8 | 1.000 | 16 | 29 | 45 | 0 | 0 | 6 | 3 | 7 | 0 | 114 | 53 | 28 | 33 | 0 | 151 | 57 | 40 | 58 | 8 | 2 | 25.00% | 20 | 2 | 90.00% | 1 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 76 | 41 | 91 | 37 | 71 | 34 | 70.0% | 14.0% | 94.7% | 108.7 | LUCKY |
24 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 6 | 6 | 14 | 0 | 31 | 10 | 4 | 17 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 18 | 9 | 23 | 9 | 18 | 8 | 16.7% | 3.8% | 83.9% | 87.7 | Unlucky |
_Vs Division | 17 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 47 | 60 | -13 | 14 | 0.412 | 47 | 80 | 127 | 1 | 0 | 11 | 15 | 21 | 1 | 483 | 150 | 166 | 167 | 5 | 575 | 197 | 179 | 299 | 51 | 11 | 21.57% | 87 | 20 | 77.01% | 3 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 333 | 174 | 375 | 166 | 316 | 152 | 47.4% | 9.7% | 89.6% | 99.3 | FUN | |
_Vs Conference | 29 | 10 | 13 | 0 | 0 | 1 | 0 | 5 | 78 | 99 | -21 | 26 | 0.448 | 78 | 132 | 210 | 1 | 0 | 20 | 23 | 35 | 4 | 851 | 268 | 299 | 282 | 22 | 1000 | 338 | 279 | 514 | 95 | 20 | 21.05% | 137 | 32 | 76.64% | 4 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 587 | 312 | 642 | 280 | 536 | 261 | 46.4% | 9.2% | 90.1% | 99.3 | FUN | |
_Since Last GM Reset | 43 | 14 | 19 | 0 | 2 | 2 | 0 | 6 | 118 | 145 | -27 | 40 | 0.465 | 118 | 197 | 315 | 1 | 0 | 33 | 38 | 45 | 6 | 1278 | 398 | 455 | 418 | 29 | 1474 | 486 | 377 | 750 | 149 | 32 | 21.48% | 185 | 45 | 75.68% | 4 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 875 | 467 | 943 | 413 | 796 | 391 | 46.2% | 9.2% | 90.2% | 99.4 | FUN | |
Total | 43 | 14 | 19 | 0 | 2 | 2 | 0 | 6 | 118 | 145 | -27 | 40 | 0.465 | 118 | 197 | 315 | 1 | 0 | 33 | 38 | 45 | 6 | 1278 | 398 | 455 | 418 | 29 | 1474 | 486 | 377 | 750 | 149 | 32 | 21.48% | 185 | 45 | 75.68% | 4 | 521 | 1005 | 51.84% | 526 | 1129 | 46.59% | 268 | 570 | 47.02% | 875 | 467 | 943 | 413 | 796 | 391 | 46.2% | 9.2% | 90.2% | 99.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1005 |
Neutral Zone Start | 570 |
Defensive Zone Start | 1129 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1315 |
Faceoffs Lost | 1389 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 29.6 | 30.68 |
Overtime | 30.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 81 |
---|---|
PP Goal | 32 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 8 | 8 |
Lost | 10 | 9 |
Overtime Lost | 2 | 6 |
PP Attempt | 149 |
---|---|
PP Goal | 32 |
PK Attempt | 185 |
PK Goal Against | 45 |
Home | |
---|---|
Shots For | 29.7 |
Shots Against | 34.3 |
Goals For | 2.7 |
Goals Against | 3.4 |
Hits | 17.4 |
Shots Blocked | 11.3 |
Pim | 8.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fri, Oct 28 | ![]() | @ | ![]() | NJD4,PHI2 | RECAP | |||||||||
Sun, Oct 30 | ![]() | @ | ![]() | VAN4,PHI5 (OT) | RECAP | |||||||||
Wed, Nov 2 | ![]() | @ | ![]() | PHI4,TAM5 (SO) | RECAP | |||||||||
Thu, Nov 3 | ![]() | @ | ![]() | PHI4,FLO5 (SO) | RECAP | |||||||||
Sun, Nov 6 | ![]() | @ | ![]() | PHI5,NAS2 | RECAP | |||||||||
Mon, Nov 7 | ![]() | @ | ![]() | SJ 3,PHI2 | RECAP | |||||||||
Fri, Nov 11 | ![]() | @ | ![]() | FLO5,PHI1 | RECAP | |||||||||
Sun, Nov 13 | ![]() | @ | ![]() | CAR4,PHI3 (SO) | RECAP | |||||||||
Wed, Nov 16 | ![]() | @ | ![]() | PHI2,NYR4 | RECAP | |||||||||
Thu, Nov 17 | ![]() | @ | ![]() | PHI3,TOR1 | RECAP | |||||||||
Sun, Nov 20 | ![]() | @ | ![]() | PHI4,OTT2 | RECAP | |||||||||
Wed, Nov 23 | ![]() | @ | ![]() | STL5,PHI4 (OT) | RECAP | |||||||||
Fri, Nov 25 | ![]() | @ | ![]() | PHI5,CLB6 (OT) | RECAP | |||||||||
Sun, Nov 27 | ![]() | @ | ![]() | OTT2,PHI3 | RECAP | |||||||||
Mon, Nov 28 | ![]() | @ | ![]() | DAL1,PHI3 | RECAP | |||||||||
Wed, Nov 30 | ![]() | @ | ![]() | PHI3,CLB1 | RECAP | |||||||||
Fri, Dec 2 | ![]() | @ | ![]() | PHI2,BOS3 (SO) | RECAP | |||||||||
Sun, Dec 4 | ![]() | @ | ![]() | PHI1,MTL2 (SO) | RECAP | |||||||||
Tue, Dec 6 | ![]() | @ | ![]() | CAL4,PHI2 | RECAP | |||||||||
Thu, Dec 8 | ![]() | @ | ![]() | PHI3,WAS1 | RECAP | |||||||||
Sat, Dec 10 | ![]() | @ | ![]() | PIT4,PHI1 | RECAP | |||||||||
Sun, Dec 11 | ![]() | @ | ![]() | PHI1,NYI3 | RECAP | |||||||||
Wed, Dec 14 | ![]() | @ | ![]() | NYI2,PHI3 | RECAP | |||||||||
Fri, Dec 16 | ![]() | @ | ![]() | TAM6,PHI2 | RECAP | |||||||||
Sun, Dec 18 | ![]() | @ | ![]() | NJD5,PHI1 | RECAP | |||||||||
Tue, Dec 20 | ![]() | @ | ![]() | COL4,PHI5 | RECAP | |||||||||
Thu, Dec 22 | ![]() | @ | ![]() | WAS2,PHI4 | RECAP | |||||||||
Sat, Dec 24 | ![]() | @ | ![]() | PHI1,GKV5 | RECAP | |||||||||
Mon, Dec 26 | ![]() | @ | ![]() | PHI0,PHO3 | RECAP | |||||||||
Wed, Dec 28 | ![]() | @ | ![]() | PHI1,COL4 | RECAP | |||||||||
Fri, Dec 30 | ![]() | @ | ![]() | PHI4,NJD5 | RECAP | |||||||||
Sun, Jan 1 | ![]() | @ | ![]() | NYR5,PHI3 | RECAP | |||||||||
Wed, Jan 4 | ![]() | @ | ![]() | CLB6,PHI2 | RECAP | |||||||||
Fri, Jan 6 | ![]() | @ | ![]() | PHI1,TOR2 | RECAP | |||||||||
Sat, Jan 7 | ![]() | @ | ![]() | PHI1,CAR3 | RECAP | |||||||||
Fri, Jan 13 | ![]() | @ | ![]() | PHI3,SJ 4 (SO) | RECAP | |||||||||
Sun, Jan 15 | ![]() | @ | ![]() | PHI5,LOS3 | RECAP | |||||||||
Tue, Jan 17 | ![]() | @ | ![]() | PHI1,ANA2 | RECAP | |||||||||
Fri, Jan 20 | ![]() | @ | ![]() | PHO2,PHI3 (OT) | RECAP | |||||||||
Mon, Jan 23 | ![]() | @ | ![]() | TOR4,PHI3 | RECAP | |||||||||
Thu, Jan 26 | ![]() | @ | ![]() | WAS2,PHI4 | RECAP | |||||||||
Sun, Jan 29 | ![]() | @ | ![]() | PHI5,WAS3 | RECAP | |||||||||
Tue, Jan 31 | ![]() | @ | ![]() | PHI3,BOS2 | RECAP | |||||||||
Wed, Feb 1 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 3 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 5 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 6 | ![]() | @ | ![]() | |||||||||||
Wed, Feb 8 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 10 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 12 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 21 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 24 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 26 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 27 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 3 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 5 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 7 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 8 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 11 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 12 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 16 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 19 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 20 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 22 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 24 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 26 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 29 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 1 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 2 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 5 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Fri, Apr 7 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 9 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 12 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 14 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 16 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 17 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 19 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 21 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 23 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 24 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 26 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 28 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,225,000$ | 0$ | 82,225,000$ | 275,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wachovia Center | |
City | Philadelphia | ||
Capacity | 20523 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 4523 | 4000 | 1000 |
Ticket Price | 94$ | 55$ | 24$ | 20$ | 194$ |
Attendance | 96661 | 96651 | 70390 | 64747 | 19434 |
Attendance PCT | 80.55% | 96.65% | 77.81% | 80.93% | 97.17% |
Income | |||||
---|---|---|---|---|---|
![]() |
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
21 | 17394 - 84.75% | 1,375,168$ | 27,503,367$ | 20523 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,225,000$ | 82,225,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
43,292,313$ | 82,225,000$ | 43,022,510$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
28,878,535$ | 87 | 437,698$ | 38,079,726$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
39,753,006$ | 82,225,000$ | 105,383,917$ | 94,509,446$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() | |||||
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Ben Boyd | ![]() | 2021 | 197 | ||
Connor Kurth | ![]() | 2022 | 119 | ||
Dominic James | ![]() | 2022 | 189 | ||
Joshua Lopina | ![]() | 2021 | 87 | ||
Liam Kirk | ![]() | 2018 | 189 | ||
Noah Warren | ![]() | 2022 | 31 | ||
Otto Kivenmaki | ![]() | 2018 | 161 | ||
Quinn Finley | ![]() | 2022 | 103 | ||
Reid Dyck | ![]() | 2022 | 167 | ||
Riley Hughes | ![]() | 2018 | 192 | ||
Ryan Pilon | ![]() | 2015 | 106 | ||
Samuel Savoie | ![]() | 2022 | 75 | ||
Topi Ronni | ![]() | 2022 | 71 | ||
Tuukka Tieksola | ![]() | 2019 | 95 | ||
Tyson Dyck | ![]() | 2022 | 221 | ||
Zachary Werenski | ![]() | 2015 | 8 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() | |||||
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Ben Boyd | ![]() | 2021 | 197 | ||
Connor Kurth | ![]() | 2022 | 119 | ||
Dominic James | ![]() | 2022 | 189 | ||
Joshua Lopina | ![]() | 2021 | 87 | ||
Liam Kirk | ![]() | 2018 | 189 | ||
Noah Warren | ![]() | 2022 | 31 | ||
Otto Kivenmaki | ![]() | 2018 | 161 | ||
Quinn Finley | ![]() | 2022 | 103 | ||
Reid Dyck | ![]() | 2022 | 167 | ||
Riley Hughes | ![]() | 2018 | 192 | ||
Ryan Pilon | ![]() | 2015 | 106 | ||
Samuel Savoie | ![]() | 2022 | 75 | ||
Topi Ronni | ![]() | 2022 | 71 | ||
Tuukka Tieksola | ![]() | 2019 | 95 | ||
Tyson Dyck | ![]() | 2022 | 221 | ||
Zachary Werenski | ![]() | 2015 | 8 |
|