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Full Scoreboard »» |
Philadelphie Flyers 33-18-10, 76pts · 4th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 77 | 39 | 83 | 82 | 68 | 87 | 60 | 81 | 62 | 83 | 87 | 66 | 82 | 71 | 69 | 62 | 50 | 73 | 24 | 6,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 54 | 39 | 85 | 79 | 71 | 85 | 82 | 78 | 59 | 87 | 71 | 84 | 79 | 71 | 73 | 78 | 50 | 73 | 25 | 5,400,000$/5yrs | |||
![]() | 0 | C | 100.00 | 66 | 43 | 85 | 76 | 77 | 85 | 88 | 75 | 90 | 78 | 77 | 64 | 76 | 69 | 82 | 83 | 50 | 71 | 24 | 5,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 68 | 41 | 75 | 73 | 81 | 82 | 88 | 71 | 83 | 74 | 72 | 84 | 71 | 79 | 72 | 66 | 50 | 71 | 30 | 3,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 52 | 40 | 89 | 79 | 74 | 83 | 87 | 78 | 71 | 77 | 84 | 58 | 79 | 67 | 72 | 85 | 50 | 71 | 23 | 6,962,366$/5yrs | |||
![]() | 0 | LW | 100.00 | 79 | 42 | 87 | 76 | 69 | 83 | 87 | 72 | 54 | 73 | 74 | 63 | 72 | 65 | 66 | 80 | 50 | 69 | 22 | 2,100,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 40 | 81 | 66 | 77 | 82 | 88 | 65 | 83 | 69 | 63 | 86 | 64 | 85 | 79 | 42 | 50 | 69 | 34 | 5,750,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 61 | 38 | 89 | 67 | 82 | 84 | 70 | 66 | 53 | 76 | 69 | 81 | 67 | 71 | 65 | 48 | 50 | 68 | 24 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 42 | 78 | 65 | 86 | 80 | 75 | 64 | 82 | 73 | 58 | 80 | 64 | 87 | 92 | 43 | 50 | 67 | 36 | 5,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 39 | 84 | 74 | 68 | 84 | 82 | 71 | 59 | 72 | 73 | 56 | 74 | 67 | 69 | 80 | 50 | 67 | 23 | 900,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 83 | 40 | 71 | 65 | 77 | 79 | 74 | 63 | 59 | 62 | 64 | 77 | 61 | 84 | 76 | 38 | 50 | 66 | 33 | 2,400,000$/2yrs | |||
![]() | 0 | C | 100.00 | 82 | 48 | 80 | 64 | 99 | 72 | 61 | 63 | 78 | 69 | 65 | 67 | 66 | 86 | 77 | 39 | 50 | 66 | 34 | 940,000$/1yrs | |||
![]() | 0 | D | 100.00 | 93 | 43 | 73 | 72 | 90 | 88 | 86 | 68 | 30 | 79 | 65 | 81 | 54 | 71 | 67 | 83 | 50 | 74 | 24 | 5,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 42 | 83 | 73 | 87 | 92 | 80 | 71 | 30 | 82 | 64 | 83 | 56 | 73 | 67 | 71 | 50 | 73 | 26 | 4,167,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 41 | 75 | 73 | 82 | 89 | 82 | 72 | 30 | 74 | 75 | 76 | 59 | 63 | 66 | 84 | 50 | 71 | 21 | 4,600,000$/6yrs | |||
![]() | 0 | D | 100.00 | 82 | 49 | 69 | 69 | 74 | 86 | 63 | 67 | 30 | 75 | 72 | 80 | 58 | 71 | 67 | 52 | 50 | 70 | 25 | 1,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 43 | 82 | 61 | 88 | 87 | 75 | 59 | 30 | 70 | 53 | 83 | 46 | 87 | 77 | 42 | 50 | 69 | 36 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 79 | 66 | 72 | 88 | 90 | 65 | 30 | 74 | 62 | 73 | 51 | 65 | 64 | 58 | 53 | 68 | 22 | 733,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 72 | 39 | 84 | 66 | 71 | 77 | 68 | 64 | 80 | 67 | 61 | 73 | 62 | 77 | 69 | 51 | 50 | 65 | 28 | 3,850,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 42 | 89 | 63 | 70 | 86 | 80 | 62 | 59 | 65 | 60 | 61 | 63 | 75 | 68 | 71 | 50 | 62 | 26 | 3,366,666$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 43 | 85 | 64 | 78 | 77 | 74 | 63 | 30 | 65 | 55 | 66 | 52 | 71 | 65 | 54 | 50 | 64 | 25 | 1,900,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 70 | 42 | 81 | 70 | 78 | 84 | 78 | 68 | 56 | 74 | 68 | 73 | 65 | 74 | 72 | 62 | 50 | 69 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 91 | 95 | 93 | 94 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 79 | 85 | 54 | 50 | 87 | 29 | 5,000,000$/2yrs |
![]() | 0 | 100.00 | 90 | 92 | 90 | 68 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 69 | 73 | 59 | 50 | 82 | 24 | 1,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 91 | 94 | 92 | 81 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 74 | 79 | 57 | 50 | 85 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 70 | 49 | 87 | 60 | 84 | 79 | 72 | 58 | 65 | 60 | 59 | 61 | 58 | 71 | 66 | 75 | 48 | 61 | 25 | 725,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 71 | 43 | 81 | 64 | 70 | 72 | 76 | 63 | 50 | 61 | 62 | 58 | 63 | 67 | 65 | 71 | 60 | 61 | 23 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 42 | 89 | 61 | 77 | 76 | 75 | 59 | 72 | 57 | 60 | 58 | 61 | 65 | 63 | 66 | 60 | 60 | 22 | 765,000$/1yrs | |||
![]() | 0 | C | 100.00 | 65 | 42 | 89 | 59 | 80 | 87 | 89 | 58 | 74 | 57 | 55 | 56 | 54 | 67 | 64 | 66 | 60 | 60 | 23 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 67 | 45 | 88 | 62 | 86 | 74 | 68 | 59 | 56 | 61 | 57 | 60 | 59 | 65 | 63 | 66 | 60 | 60 | 22 | 702,500$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 46 | 88 | 61 | 82 | 73 | 74 | 59 | 66 | 60 | 58 | 57 | 61 | 65 | 62 | 56 | 60 | 59 | 22 | 714,444$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 43 | 84 | 60 | 79 | 70 | 67 | 58 | 71 | 56 | 59 | 58 | 54 | 63 | 62 | 61 | 60 | 58 | 21 | 736,666$/2yrs | |||
![]() | 0 | C | 100.00 | 55 | 41 | 85 | 60 | 63 | 72 | 75 | 58 | 70 | 57 | 59 | 56 | 58 | 67 | 64 | 57 | 60 | 57 | 22 | 688,333$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 43 | 73 | 68 | 75 | 83 | 75 | 67 | 30 | 69 | 62 | 74 | 52 | 67 | 65 | 74 | 60 | 67 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 42 | 90 | 62 | 74 | 83 | 73 | 59 | 30 | 58 | 57 | 63 | 48 | 61 | 63 | 62 | 60 | 61 | 20 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 49 | 86 | 55 | 86 | 84 | 83 | 54 | 30 | 53 | 52 | 57 | 48 | 69 | 65 | 63 | 60 | 61 | 24 | 700,000$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Tim Gaudreau |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jake Guentzel | 0 | LW/RW | 61 | 18 | 33 | 51 | 0 | 25 | 5 | 86 | 237 | 83 | 143 | 7.59% | 25 | 18.80 | 8 | 19 | 27 | 169 | 0 | 0 | 0 | 6 | 5 | 3 | 50.70% | 71 | 50 | 23 | 0 | 0 | 0.89 | 3 | 15 | ||
2 | William Nylander | 0 | LW/RW | 61 | 23 | 25 | 48 | -7 | 8 | 0 | 66 | 235 | 75 | 156 | 9.79% | 21 | 17.74 | 9 | 11 | 20 | 159 | 0 | 0 | 0 | 0 | 4 | 2 | 43.64% | 55 | 48 | 20 | 0 | 0 | 0.89 | 3 | 11 | ||
3 | Bo Horvat | 0 | C | 61 | 14 | 33 | 47 | 6 | 18 | 0 | 82 | 123 | 53 | 87 | 11.38% | 22 | 19.73 | 6 | 17 | 23 | 163 | 1 | 0 | 1 | 44 | 4 | 1 | 54.77% | 1530 | 23 | 16 | 0 | 0 | 0.78 | 1 | 3 | ||
4 | Teuvo Teravainen | 0 | LW/RW | 61 | 15 | 31 | 46 | 5 | 18 | 0 | 81 | 184 | 66 | 128 | 8.15% | 24 | 21.39 | 1 | 6 | 7 | 113 | 0 | 1 | 1 | 162 | 2 | 2 | 45.37% | 108 | 52 | 21 | 2 | 0 | 0.71 | 4 | 15 | ||
5 | Lars Eller | 0 | C | 61 | 12 | 18 | 30 | 3 | 46 | 0 | 80 | 150 | 44 | 92 | 8.00% | 25 | 17.20 | 2 | 2 | 4 | 57 | 1 | 0 | 1 | 74 | 2 | 1 | 51.80% | 942 | 22 | 19 | 0 | 0 | 0.57 | 0 | 0 | ||
6 | Anthony Beauvillier | 0 | LW | 61 | 10 | 16 | 26 | 1 | 6 | 0 | 71 | 142 | 50 | 81 | 7.04% | 12 | 14.82 | 5 | 7 | 12 | 151 | 0 | 0 | 0 | 61 | 1 | 0 | 57.69% | 26 | 35 | 13 | 0 | 0 | 0.58 | 0 | 0 | ||
7 | Oscar Klefbom | 0 | D | 61 | 1 | 15 | 16 | 2 | 28 | 0 | 57 | 108 | 32 | 39 | 0.93% | 83 | 26.61 | 0 | 3 | 3 | 147 | 0 | 0 | 0 | 189 | 1 | 0 | 0.00% | 0 | 25 | 54 | 0 | 0 | 0.20 | 0 | 0 | ||
8 | Rasmus Ristolainen | 0 | D | 61 | 3 | 13 | 16 | 0 | 64 | 0 | 134 | 75 | 26 | 42 | 4.00% | 65 | 24.68 | 2 | 3 | 5 | 168 | 0 | 1 | 1 | 172 | 1 | 0 | 0.00% | 0 | 31 | 53 | 0 | 0 | 0.21 | 0 | 0 | ||
9 | Robby Fabbri | 0 | C/LW | 61 | 9 | 7 | 16 | 3 | 4 | 0 | 53 | 103 | 31 | 68 | 8.74% | 6 | 10.25 | 0 | 1 | 1 | 30 | 0 | 0 | 0 | 0 | 1 | 1 | 42.11% | 19 | 18 | 3 | 0 | 0 | 0.51 | 1 | 2 | ||
10 | Travis Zajac | 0 | C | 61 | 8 | 7 | 15 | 12 | 12 | 0 | 40 | 90 | 35 | 54 | 8.89% | 18 | 12.62 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 196 | 0 | 0 | 52.18% | 573 | 14 | 7 | 2 | 0 | 0.39 | 0 | 0 | ||
11 | Jakob Chychrun | 0 | D | 61 | 3 | 11 | 14 | 2 | 52 | 0 | 109 | 67 | 32 | 47 | 4.48% | 54 | 22.75 | 2 | 2 | 4 | 166 | 0 | 0 | 0 | 42 | 1 | 0 | 0.00% | 0 | 36 | 47 | 0 | 0 | 0.20 | 0 | 0 | ||
12 | Ilya Mikheyev | 0 | RW | 61 | 6 | 7 | 13 | 4 | 2 | 0 | 56 | 105 | 19 | 59 | 5.71% | 22 | 15.70 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 124 | 2 | 0 | 39.58% | 48 | 20 | 27 | 1 | 0 | 0.27 | 0 | 0 | ||
13 | Mikko Koivu | 0 | C | 61 | 5 | 6 | 11 | -9 | 12 | 0 | 70 | 60 | 18 | 31 | 8.33% | 21 | 14.37 | 3 | 3 | 6 | 138 | 0 | 0 | 0 | 24 | 0 | 2 | 56.12% | 547 | 11 | 20 | 0 | 0 | 0.25 | 0 | 0 | ||
14 | Blake Comeau | 0 | LW/RW | 61 | 4 | 6 | 10 | 8 | 18 | 0 | 54 | 46 | 21 | 44 | 8.70% | 15 | 8.48 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 54.55% | 11 | 10 | 10 | 0 | 0 | 0.39 | 0 | 0 | ||
15 | MacKenzie Weegar | 0 | D | 61 | 0 | 9 | 9 | 11 | 44 | 0 | 66 | 43 | 19 | 22 | 0.00% | 41 | 14.35 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 140 | 0 | 0 | 0.00% | 0 | 18 | 28 | 0 | 0 | 0.21 | 0 | 0 | ||
16 | Brian Boyle | 0 | C | 55 | 5 | 3 | 8 | 6 | 10 | 0 | 45 | 61 | 21 | 26 | 8.20% | 3 | 8.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 33.33% | 6 | 10 | 7 | 0 | 0 | 0.36 | 0 | 0 | ||
17 | Jay Bouwmeester | 0 | D | 61 | 0 | 6 | 6 | 12 | 8 | 0 | 23 | 36 | 8 | 11 | 0.00% | 31 | 14.88 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 150 | 0 | 0 | 0.00% | 0 | 3 | 24 | 0 | 0 | 0.13 | 0 | 0 | ||
18 | Ethan Bear | 0 | D | 61 | 3 | 2 | 5 | -1 | 42 | 0 | 60 | 48 | 24 | 16 | 6.25% | 50 | 19.59 | 2 | 0 | 2 | 147 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 0 | 11 | 36 | 0 | 0 | 0.08 | 0 | 0 | ||
19 | Cody Eakin | 0 | C | 24 | 2 | 1 | 3 | 1 | 2 | 0 | 13 | 21 | 5 | 8 | 9.52% | 1 | 8.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 54.24% | 59 | 3 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
Team Total or Average | 1116 | 141 | 249 | 390 | 59 | 419 | 5 | 1246 | 1934 | 662 | 1154 | 7.29% | 539 | 16.64 | 40 | 74 | 114 | 1638 | 3 | 4 | 7 | 1395 | 28 | 14 | 53.14% | 3995 | 440 | 428 | 5 | 0 | 0.42 | 12 | 46 |
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 | Frederik Andersen | 45 | 24 | 16 | 5 | 0.928 | 1.99 | 2682 | 2 | 4 | 89 | 1244 | 552 | 3 | 4 | 0.609 | 23 | 45 | 16 | 8 | 5 | 3 | |
2 | Juuse Saros | 18 | 9 | 2 | 5 | 0.942 | 1.61 | 1046 | 0 | 2 | 28 | 484 | 207 | 0 | 0 | 0.500 | 20 | 16 | 45 | 3 | 3 | 2 | |
Team Total or Average | 63 | 33 | 18 | 10 | 0.932 | 1.88 | 3728 | 2 | 6 | 117 | 1728 | 759 | 3 | 4 | 0.558 | 43 | 61 | 61 | 11 | 8 | 5 |
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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 64 | 16 | 19 | 29 | 0 | 54 | 10 | 10 | 35 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 47 | 28 | 37 | 18 | 34 | 18 | 40.0% | 6.3% | 92.6% | 98.8 | DULL | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 0 | 3 | 2 | 0 | 59 | 17 | 20 | 22 | 0 | 48 | 15 | 8 | 47 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 42 | 23 | 39 | 18 | 37 | 19 | 75.0% | 8.5% | 97.9% | 106.4 | DULL | |
3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 1.000 | 12 | 20 | 32 | 0 | 0 | 4 | 3 | 5 | 0 | 88 | 26 | 27 | 35 | 0 | 102 | 28 | 26 | 56 | 11 | 4 | 36.36% | 13 | 4 | 69.23% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 66 | 38 | 58 | 28 | 54 | 27 | 66.7% | 13.6% | 92.2% | 105.8 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 1 | 1 | 5 | 1 | 0 | 0 | 69 | 30 | 19 | 20 | 0 | 43 | 16 | 14 | 49 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 46 | 27 | 38 | 17 | 35 | 17 | 55.6% | 8.7% | 88.4% | 97.1 | Unlucky | |
5 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 6 | 1.000 | 7 | 13 | 20 | 0 | 1 | 2 | 1 | 4 | 0 | 98 | 24 | 35 | 39 | 0 | 85 | 30 | 6 | 61 | 10 | 3 | 30.00% | 3 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 70 | 43 | 59 | 25 | 49 | 25 | 66.7% | 7.1% | 97.6% | 104.8 | DULL | |
6 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 1 | 2 | 1 | 1 | 66 | 21 | 16 | 26 | 5 | 60 | 17 | 6 | 38 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 46 | 26 | 42 | 17 | 36 | 19 | 33.3% | 7.6% | 90.0% | 97.6 | Unlucky | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 13 | 6 | 10 | 0 | 25 | 5 | 10 | 15 | 5 | 1 | 20.00% | 5 | 3 | 40.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 21 | 12 | 21 | 9 | 17 | 8 | nan% | 3.4% | 88.0% | 91.4 | Unlucky | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 55 | 23 | 17 | 15 | 0 | 35 | 16 | 10 | 52 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 1 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 43 | 24 | 37 | 18 | 38 | 19 | 75.0% | 9.1% | 94.3% | 103.4 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 68 | 26 | 26 | 16 | 0 | 44 | 17 | 16 | 33 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 47 | 27 | 36 | 17 | 36 | 18 | 33.3% | 5.9% | 88.6% | 94.5 | Unlucky | |
10 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 105 | 24 | 35 | 46 | 0 | 91 | 31 | 16 | 48 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 70 | 43 | 58 | 24 | 50 | 26 | 55.6% | 5.7% | 93.4% | 99.1 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 2 | 46 | 11 | 22 | 10 | 8 | 75 | 10 | 8 | 39 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 40 | 22 | 47 | 19 | 37 | 17 | 60.0% | 8.7% | 97.3% | 106.0 | DULL | |
12 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 6 | 7 | -1 | 3 | 0.500 | 6 | 8 | 14 | 0 | 0 | 1 | 2 | 2 | 4 | 94 | 23 | 37 | 34 | 7 | 92 | 21 | 26 | 66 | 9 | 2 | 22.22% | 13 | 1 | 92.31% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 67 | 36 | 66 | 28 | 55 | 28 | 40.0% | 6.4% | 92.4% | 98.8 | DULL | |
13 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 23 | 19 | 2 | 2 | 2 | 40 | 10 | 6 | 14 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 20 | 10 | 23 | 10 | 20 | 10 | 50.0% | 13.0% | 90.0% | 103.0 | FUN | |
14 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 6 | 1.000 | 5 | 9 | 14 | 0 | 3 | 0 | 2 | 3 | 0 | 85 | 30 | 32 | 23 | 0 | 73 | 24 | 16 | 55 | 13 | 1 | 7.69% | 8 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 64 | 35 | 59 | 26 | 55 | 30 | 100.0% | 5.9% | 100.0% | 105.9 | DULL | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 42 | 8 | 21 | 13 | 0 | 35 | 7 | 12 | 15 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 21 | 12 | 22 | 8 | 16 | 7 | 66.7% | 7.1% | 88.6% | 95.7 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 33 | 7 | 18 | 8 | 0 | 32 | 10 | 4 | 21 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 24 | 14 | 18 | 8 | 17 | 9 | 50.0% | 9.1% | 96.9% | 106.0 | LUCKY | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 33 | 2 | 11 | 20 | 0 | 37 | 18 | 8 | 11 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 20 | 11 | 22 | 8 | 16 | 8 | 33.3% | 3.0% | 91.9% | 94.9 | DULL | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 3 | 0 | 0 | 32 | 7 | 13 | 12 | 0 | 35 | 13 | 8 | 20 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 19 | 10 | 22 | 10 | 17 | 8 | 33.3% | 9.4% | 85.7% | 95.1 | FUN | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 42 | 16 | 13 | 13 | 0 | 27 | 10 | 6 | 21 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 25 | 16 | 18 | 8 | 16 | 8 | 75.0% | 9.5% | 96.3% | 105.8 | LUCKY | |
20 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 11 | 10 | 1 | 5 | 0.625 | 11 | 17 | 28 | 0 | 0 | 1 | 5 | 4 | 3 | 132 | 41 | 48 | 41 | 9 | 127 | 45 | 24 | 74 | 12 | 0 | 0.00% | 12 | 1 | 91.67% | 1 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 93 | 55 | 85 | 35 | 70 | 36 | 55.0% | 8.3% | 92.1% | 100.5 | DULL | |
21 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 5 | 0.833 | 8 | 11 | 19 | 0 | 0 | 2 | 4 | 2 | 1 | 88 | 31 | 32 | 25 | 3 | 86 | 24 | 12 | 71 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 70 | 41 | 60 | 26 | 54 | 27 | 58.3% | 9.1% | 94.2% | 103.3 | LUCKY | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 36 | 13 | 13 | 10 | 0 | 31 | 8 | 6 | 20 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 22 | 13 | 19 | 10 | 17 | 8 | 50.0% | 5.6% | 96.8% | 102.3 | DULL | |
23 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 5 | 4 | 5 | 0.833 | 9 | 15 | 24 | 0 | 0 | 4 | 3 | 2 | 0 | 84 | 28 | 37 | 16 | 6 | 93 | 24 | 34 | 51 | 10 | 2 | 20.00% | 17 | 3 | 82.35% | 1 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 63 | 35 | 66 | 29 | 55 | 27 | 77.8% | 10.7% | 94.6% | 105.3 | LUCKY | |
24 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 59 | 12 | 34 | 13 | 5 | 48 | 22 | 16 | 53 | 3 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 48 | 27 | 39 | 20 | 41 | 20 | 44.4% | 6.8% | 87.5% | 94.3 | Unlucky | |
25 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 8 | 13 | 1 | 0 | 2 | 2 | 1 | 0 | 88 | 31 | 31 | 26 | 0 | 85 | 28 | 32 | 58 | 11 | 2 | 18.18% | 16 | 4 | 75.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 67 | 39 | 60 | 26 | 52 | 25 | 37.5% | 5.7% | 89.4% | 95.1 | Unlucky | |
26 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 56 | 20 | 23 | 13 | 3 | 55 | 20 | 14 | 31 | 9 | 1 | 11.11% | 7 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 43 | 24 | 45 | 21 | 36 | 17 | 20.0% | 3.6% | 92.7% | 96.3 | DULL | |
27 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.667 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 2 | 1 | 95 | 36 | 29 | 29 | 1 | 73 | 17 | 22 | 76 | 8 | 2 | 25.00% | 11 | 2 | 81.82% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 68 | 39 | 58 | 27 | 54 | 25 | 44.4% | 6.3% | 90.4% | 96.7 | Unlucky | |
28 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 10 | -6 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 66 | 11 | 36 | 16 | 5 | 56 | 21 | 19 | 51 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 43 | 24 | 42 | 19 | 38 | 18 | 33.3% | 6.1% | 82.1% | 88.2 | Unlucky | |
29 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 1 | 1 | 60 | 21 | 19 | 16 | 10 | 45 | 15 | 22 | 47 | 3 | 1 | 33.33% | 11 | 2 | 81.82% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 46 | 25 | 41 | 21 | 42 | 18 | 57.1% | 8.3% | 88.9% | 97.2 | Unlucky | |
_Vs Division | 20 | 10 | 7 | 0 | 1 | 0 | 1 | 1 | 44 | 35 | 9 | 25 | 0.625 | 44 | 74 | 118 | 1 | 4 | 10 | 14 | 18 | 4 | 645 | 202 | 223 | 217 | 10 | 561 | 185 | 122 | 393 | 62 | 10 | 16.13% | 61 | 9 | 85.25% | 1 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 460 | 273 | 400 | 174 | 349 | 178 | 56.7% | 6.8% | 93.8% | 100.6 | DULL | |
_Vs Conference | 39 | 20 | 11 | 0 | 1 | 0 | 3 | 4 | 94 | 75 | 19 | 52 | 0.667 | 94 | 150 | 244 | 2 | 4 | 24 | 33 | 33 | 10 | 1217 | 372 | 419 | 417 | 31 | 1120 | 343 | 254 | 773 | 129 | 25 | 19.38% | 127 | 20 | 84.25% | 3 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 886 | 516 | 793 | 351 | 696 | 354 | 55.6% | 7.7% | 93.3% | 101.0 | DULL | |
_Since Last GM Reset | 61 | 27 | 18 | 0 | 1 | 0 | 5 | 10 | 143 | 131 | 12 | 76 | 0.623 | 143 | 238 | 381 | 4 | 6 | 35 | 56 | 46 | 13 | 1895 | 587 | 691 | 598 | 64 | 1732 | 532 | 417 | 1228 | 196 | 39 | 19.90% | 206 | 35 | 83.01% | 3 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 1374 | 795 | 1252 | 563 | 1109 | 554 | 52.0% | 7.5% | 92.4% | 100.0 | DULL | |
Total | 61 | 27 | 18 | 0 | 1 | 0 | 5 | 10 | 143 | 131 | 12 | 76 | 0.623 | 143 | 238 | 381 | 4 | 6 | 35 | 56 | 46 | 13 | 1895 | 587 | 691 | 598 | 64 | 1732 | 532 | 417 | 1228 | 196 | 39 | 19.90% | 206 | 35 | 83.01% | 3 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 1374 | 795 | 1252 | 563 | 1109 | 554 | 52.0% | 7.5% | 92.4% | 100.0 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1431 |
Neutral Zone Start | 803 |
Defensive Zone Start | 1375 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1911 |
Faceoffs Lost | 1698 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 97 |
---|---|
PP Goal | 39 |
PK Goal | 3 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 16 | 17 |
Lost | 9 | 9 |
Overtime Lost | 4 | 6 |
PP Attempt | 196 |
---|---|
PP Goal | 39 |
PK Attempt | 206 |
PK Goal Against | 35 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 28.4 |
Goals For | 2.3 |
Goals Against | 2.1 |
Hits | 20.1 |
Shots Blocked | 8.7 |
Pim | 6.8 |
Projected Total Cap Hit | 81,244,032$ |
Projected Cap Space | 255,968$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 62,398,231$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Flyers Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Beauvillier ![]() | LW | 22 | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||||
Blake Comeau ![]() | LW/RW | 33 | 2,400,000$ | 2,400,000$ | 2,400,000$ | ||||||
Bo Horvat ![]() | C | 24 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Brian Boyle ![]() | C | 34 | 940,000$ | 940,000$ | |||||||
Cody Eakin ![]() | C | 28 | 3,850,000$ | 3,850,000$ | |||||||
Ethan Bear ![]() | D | 22 | 733,000$ | 733,000$ | |||||||
Frederik Andersen ![]() | G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Ilya Mikheyev ![]() | RW | 24 | 925,000$ | 925,000$ | |||||||
Jake Guentzel ![]() | LW/RW | 24 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||
Jakob Chychrun ![]() | D | 21 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | ||
Jay Bouwmeester ![]() | D | 36 | 3,250,000$ | 3,250,000$ | |||||||
Juuse Saros ![]() | G | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Lars Eller ![]() | C | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||
MacKenzie Weegar ![]() | D | 25 | 1,600,000$ | 1,600,000$ | |||||||
Matt Benning ![]() | D | 25 | 1,900,000$ | 1,900,000$ | |||||||
Mikko Koivu ![]() | C | 36 | 5,500,000$ | 5,500,000$ | |||||||
Oscar Klefbom ![]() | D | 26 | 4,167,000$ | 4,167,000$ | 4,167,000$ | ||||||
Rasmus Ristolainen ![]() | D | 24 | 5,400,000$ | 5,400,000$ | 5,400,000$ | ||||||
Robby Fabbri ![]() | C/LW | 23 | 900,000$ | 900,000$ | |||||||
Sven Baertschi ![]() | LW/RW | 26 | 3,366,666$ | 3,366,666$ | 3,366,666$ | ||||||
Teuvo Teravainen ![]() | LW/RW | 25 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | |||
Travis Zajac ![]() | C | 34 | 5,750,000$ | 5,750,000$ | 5,750,000$ | ||||||
William Nylander ![]() | LW/RW | 23 | 6,962,366$ | 6,962,366$ | 6,962,366$ | 6,962,366$ | 6,962,366$ | 6,962,366$ |
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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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 64 | 16 | 19 | 29 | 0 | 54 | 10 | 10 | 35 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 47 | 28 | 37 | 18 | 34 | 18 | 40.0% | 6.3% | 92.6% | 98.8 | DULL | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 0 | 3 | 2 | 0 | 59 | 17 | 20 | 22 | 0 | 48 | 15 | 8 | 47 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 42 | 23 | 39 | 18 | 37 | 19 | 75.0% | 8.5% | 97.9% | 106.4 | DULL | |
3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 1.000 | 12 | 20 | 32 | 0 | 0 | 4 | 3 | 5 | 0 | 88 | 26 | 27 | 35 | 0 | 102 | 28 | 26 | 56 | 11 | 4 | 36.36% | 13 | 4 | 69.23% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 66 | 38 | 58 | 28 | 54 | 27 | 66.7% | 13.6% | 92.2% | 105.8 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 1 | 1 | 5 | 1 | 0 | 0 | 69 | 30 | 19 | 20 | 0 | 43 | 16 | 14 | 49 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 46 | 27 | 38 | 17 | 35 | 17 | 55.6% | 8.7% | 88.4% | 97.1 | Unlucky | |
5 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 6 | 1.000 | 7 | 13 | 20 | 0 | 1 | 2 | 1 | 4 | 0 | 98 | 24 | 35 | 39 | 0 | 85 | 30 | 6 | 61 | 10 | 3 | 30.00% | 3 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 70 | 43 | 59 | 25 | 49 | 25 | 66.7% | 7.1% | 97.6% | 104.8 | DULL | |
6 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 1 | 2 | 1 | 1 | 66 | 21 | 16 | 26 | 5 | 60 | 17 | 6 | 38 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 46 | 26 | 42 | 17 | 36 | 19 | 33.3% | 7.6% | 90.0% | 97.6 | Unlucky | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 13 | 6 | 10 | 0 | 25 | 5 | 10 | 15 | 5 | 1 | 20.00% | 5 | 3 | 40.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 21 | 12 | 21 | 9 | 17 | 8 | nan% | 3.4% | 88.0% | 91.4 | Unlucky | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 55 | 23 | 17 | 15 | 0 | 35 | 16 | 10 | 52 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 1 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 43 | 24 | 37 | 18 | 38 | 19 | 75.0% | 9.1% | 94.3% | 103.4 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 68 | 26 | 26 | 16 | 0 | 44 | 17 | 16 | 33 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 47 | 27 | 36 | 17 | 36 | 18 | 33.3% | 5.9% | 88.6% | 94.5 | Unlucky | |
10 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 2 | 0 | 105 | 24 | 35 | 46 | 0 | 91 | 31 | 16 | 48 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 70 | 43 | 58 | 24 | 50 | 26 | 55.6% | 5.7% | 93.4% | 99.1 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 2 | 46 | 11 | 22 | 10 | 8 | 75 | 10 | 8 | 39 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 40 | 22 | 47 | 19 | 37 | 17 | 60.0% | 8.7% | 97.3% | 106.0 | DULL | |
12 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 6 | 7 | -1 | 3 | 0.500 | 6 | 8 | 14 | 0 | 0 | 1 | 2 | 2 | 4 | 94 | 23 | 37 | 34 | 7 | 92 | 21 | 26 | 66 | 9 | 2 | 22.22% | 13 | 1 | 92.31% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 67 | 36 | 66 | 28 | 55 | 28 | 40.0% | 6.4% | 92.4% | 98.8 | DULL | |
13 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 23 | 19 | 2 | 2 | 2 | 40 | 10 | 6 | 14 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 20 | 10 | 23 | 10 | 20 | 10 | 50.0% | 13.0% | 90.0% | 103.0 | FUN | |
14 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 6 | 1.000 | 5 | 9 | 14 | 0 | 3 | 0 | 2 | 3 | 0 | 85 | 30 | 32 | 23 | 0 | 73 | 24 | 16 | 55 | 13 | 1 | 7.69% | 8 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 64 | 35 | 59 | 26 | 55 | 30 | 100.0% | 5.9% | 100.0% | 105.9 | DULL | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 42 | 8 | 21 | 13 | 0 | 35 | 7 | 12 | 15 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 21 | 12 | 22 | 8 | 16 | 7 | 66.7% | 7.1% | 88.6% | 95.7 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 33 | 7 | 18 | 8 | 0 | 32 | 10 | 4 | 21 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 24 | 14 | 18 | 8 | 17 | 9 | 50.0% | 9.1% | 96.9% | 106.0 | LUCKY | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 33 | 2 | 11 | 20 | 0 | 37 | 18 | 8 | 11 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 20 | 11 | 22 | 8 | 16 | 8 | 33.3% | 3.0% | 91.9% | 94.9 | DULL | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 3 | 0 | 0 | 32 | 7 | 13 | 12 | 0 | 35 | 13 | 8 | 20 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 19 | 10 | 22 | 10 | 17 | 8 | 33.3% | 9.4% | 85.7% | 95.1 | FUN | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 42 | 16 | 13 | 13 | 0 | 27 | 10 | 6 | 21 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 25 | 16 | 18 | 8 | 16 | 8 | 75.0% | 9.5% | 96.3% | 105.8 | LUCKY | |
20 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 11 | 10 | 1 | 5 | 0.625 | 11 | 17 | 28 | 0 | 0 | 1 | 5 | 4 | 3 | 132 | 41 | 48 | 41 | 9 | 127 | 45 | 24 | 74 | 12 | 0 | 0.00% | 12 | 1 | 91.67% | 1 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 93 | 55 | 85 | 35 | 70 | 36 | 55.0% | 8.3% | 92.1% | 100.5 | DULL | |
21 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 5 | 0.833 | 8 | 11 | 19 | 0 | 0 | 2 | 4 | 2 | 1 | 88 | 31 | 32 | 25 | 3 | 86 | 24 | 12 | 71 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 70 | 41 | 60 | 26 | 54 | 27 | 58.3% | 9.1% | 94.2% | 103.3 | LUCKY | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 36 | 13 | 13 | 10 | 0 | 31 | 8 | 6 | 20 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 22 | 13 | 19 | 10 | 17 | 8 | 50.0% | 5.6% | 96.8% | 102.3 | DULL | |
23 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 5 | 4 | 5 | 0.833 | 9 | 15 | 24 | 0 | 0 | 4 | 3 | 2 | 0 | 84 | 28 | 37 | 16 | 6 | 93 | 24 | 34 | 51 | 10 | 2 | 20.00% | 17 | 3 | 82.35% | 1 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 63 | 35 | 66 | 29 | 55 | 27 | 77.8% | 10.7% | 94.6% | 105.3 | LUCKY | |
24 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 59 | 12 | 34 | 13 | 5 | 48 | 22 | 16 | 53 | 3 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 48 | 27 | 39 | 20 | 41 | 20 | 44.4% | 6.8% | 87.5% | 94.3 | Unlucky | |
25 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 8 | 13 | 1 | 0 | 2 | 2 | 1 | 0 | 88 | 31 | 31 | 26 | 0 | 85 | 28 | 32 | 58 | 11 | 2 | 18.18% | 16 | 4 | 75.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 67 | 39 | 60 | 26 | 52 | 25 | 37.5% | 5.7% | 89.4% | 95.1 | Unlucky | |
26 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 56 | 20 | 23 | 13 | 3 | 55 | 20 | 14 | 31 | 9 | 1 | 11.11% | 7 | 0 | 100.00% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 43 | 24 | 45 | 21 | 36 | 17 | 20.0% | 3.6% | 92.7% | 96.3 | DULL | |
27 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.667 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 2 | 1 | 95 | 36 | 29 | 29 | 1 | 73 | 17 | 22 | 76 | 8 | 2 | 25.00% | 11 | 2 | 81.82% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 68 | 39 | 58 | 27 | 54 | 25 | 44.4% | 6.3% | 90.4% | 96.7 | Unlucky | |
28 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 10 | -6 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 66 | 11 | 36 | 16 | 5 | 56 | 21 | 19 | 51 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 43 | 24 | 42 | 19 | 38 | 18 | 33.3% | 6.1% | 82.1% | 88.2 | Unlucky | |
29 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 1 | 1 | 60 | 21 | 19 | 16 | 10 | 45 | 15 | 22 | 47 | 3 | 1 | 33.33% | 11 | 2 | 81.82% | 0 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 46 | 25 | 41 | 21 | 42 | 18 | 57.1% | 8.3% | 88.9% | 97.2 | Unlucky | |
_Vs Division | 20 | 10 | 7 | 0 | 1 | 0 | 1 | 1 | 44 | 35 | 9 | 25 | 0.625 | 44 | 74 | 118 | 1 | 4 | 10 | 14 | 18 | 4 | 645 | 202 | 223 | 217 | 10 | 561 | 185 | 122 | 393 | 62 | 10 | 16.13% | 61 | 9 | 85.25% | 1 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 460 | 273 | 400 | 174 | 349 | 178 | 56.7% | 6.8% | 93.8% | 100.6 | DULL | |
_Vs Conference | 39 | 20 | 11 | 0 | 1 | 0 | 3 | 4 | 94 | 75 | 19 | 52 | 0.667 | 94 | 150 | 244 | 2 | 4 | 24 | 33 | 33 | 10 | 1217 | 372 | 419 | 417 | 31 | 1120 | 343 | 254 | 773 | 129 | 25 | 19.38% | 127 | 20 | 84.25% | 3 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 886 | 516 | 793 | 351 | 696 | 354 | 55.6% | 7.7% | 93.3% | 101.0 | DULL | |
_Since Last GM Reset | 61 | 27 | 18 | 0 | 1 | 0 | 5 | 10 | 143 | 131 | 12 | 76 | 0.623 | 143 | 238 | 381 | 4 | 6 | 35 | 56 | 46 | 13 | 1895 | 587 | 691 | 598 | 64 | 1732 | 532 | 417 | 1228 | 196 | 39 | 19.90% | 206 | 35 | 83.01% | 3 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 1374 | 795 | 1252 | 563 | 1109 | 554 | 52.0% | 7.5% | 92.4% | 100.0 | DULL | |
Total | 61 | 27 | 18 | 0 | 1 | 0 | 5 | 10 | 143 | 131 | 12 | 76 | 0.623 | 143 | 238 | 381 | 4 | 6 | 35 | 56 | 46 | 13 | 1895 | 587 | 691 | 598 | 64 | 1732 | 532 | 417 | 1228 | 196 | 39 | 19.90% | 206 | 35 | 83.01% | 3 | 777 | 1431 | 54.30% | 729 | 1375 | 53.02% | 405 | 803 | 50.44% | 1374 | 795 | 1252 | 563 | 1109 | 554 | 52.0% | 7.5% | 92.4% | 100.0 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1431 |
Neutral Zone Start | 803 |
Defensive Zone Start | 1375 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1911 |
Faceoffs Lost | 1698 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 97 |
---|---|
PP Goal | 39 |
PK Goal | 3 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 16 | 17 |
Lost | 9 | 9 |
Overtime Lost | 4 | 6 |
PP Attempt | 196 |
---|---|
PP Goal | 39 |
PK Attempt | 206 |
PK Goal Against | 35 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 28.4 |
Goals For | 2.3 |
Goals Against | 2.1 |
Hits | 20.1 |
Shots Blocked | 8.7 |
Pim | 6.8 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-26 | @ | Blackhawks2,Flyers1 | RECAP | ||
2020-10-31 | @ | Devils2,Flyers1 | RECAP | ||
2020-11-03 | @ | Flyers2,Canucks1 | RECAP | ||
2020-11-06 | @ | Flyers3,Flames4 (SO) | RECAP | ||
2020-11-07 | @ | Flyers3,Oilers1 | RECAP | ||
2020-11-10 | @ | Stars4,Flyers3 (SO) | RECAP | ||
2020-11-12 | @ | Golden Knights2,Flyers1 (SO) | RECAP | ||
2020-11-15 | @ | Flyers1,Blackhawks2 (SO) | RECAP | ||
2020-11-17 | @ | Blue Jackets5,Flyers2 | RECAP | ||
2020-11-18 | @ | Flyers2,Islanders1 | RECAP | ||
2020-11-20 | @ | Flyers2,Penguins0 | RECAP | ||
2020-11-23 | @ | Flyers1,Devils2 | RECAP | ||
2020-11-24 | @ | Maple Leafs4,Flyers3 (SO) | RECAP | ||
2020-11-27 | @ | Hurricanes4,Flyers1 | RECAP | ||
2020-11-29 | @ | Canadiens2,Flyers3 | RECAP | ||
2020-12-01 | @ | Flyers3,Maple Leafs2 (SO) | RECAP | ||
2020-12-02 | @ | Flyers1,Bruins2 | RECAP | ||
2020-12-05 | @ | Capitals1,Flyers3 | RECAP | ||
2020-12-07 | @ | Flyers1,Senators2 (SO) | RECAP | ||
2020-12-08 | @ | Islanders0,Flyers2 | RECAP | ||
2020-12-11 | @ | Flyers4,Panthers1 | RECAP | ||
2020-12-13 | @ | Flyers3,Hurricanes2 (OT) | RECAP | ||
2020-12-15 | @ | Flames6,Flyers1 | RECAP | ||
2020-12-17 | @ | Canucks1,Flyers2 (SO) | RECAP | ||
2020-12-19 | @ | Flyers2,Blue Jackets1 (SO) | RECAP | ||
2020-12-21 | @ | Red Wings3,Flyers4 (SO) | RECAP | ||
2020-12-22 | @ | Flyers4,Canadiens3 | RECAP | ||
2020-12-25 | @ | Maple Leafs1,Flyers0 | RECAP | ||
2020-12-27 | @ | Coyotes0,Flyers3 | RECAP | ||
2020-12-29 | @ | Senators2,Flyers3 | RECAP | ||
2021-01-02 | @ | Flyers1,Avalanche4 | RECAP | ||
2021-01-05 | @ | Flyers2,Wild1 | RECAP | ||
2021-01-06 | @ | Flyers3,Jets4 | RECAP | ||
2021-01-08 | @ | Ducks0,Flyers3 | RECAP | ||
2021-01-10 | @ | Sabres3,Flyers1 | RECAP | ||
2021-01-12 | @ | Flyers5,Senators1 | RECAP | ||
2021-01-14 | @ | Rangers1,Flyers4 | RECAP | ||
2021-01-19 | @ | Flyers3,Sharks5 | RECAP | ||
2021-01-20 | @ | Flyers2,Ducks1 | RECAP | ||
2021-01-22 | @ | Flyers2,Kings3 (SO) | RECAP | ||
2021-01-24 | @ | Flyers4,Golden Knights3 (SO) | RECAP | ||
2021-01-26 | @ | Flyers3,Coyotes5 | RECAP | ||
2021-01-29 | @ | Flyers2,Hurricanes1 | RECAP | ||
2021-01-30 | @ | Capitals3,Flyers2 | RECAP | ||
2021-02-02 | @ | Lightning1,Flyers3 | RECAP | ||
2021-02-04 | @ | Bruins2,Flyers3 | RECAP | ||
2021-02-06 | @ | Flyers1,Blues3 | RECAP | ||
2021-02-07 | @ | Canadiens3,Flyers5 | RECAP | ||
2021-02-09 | @ | Kings3,Flyers2 (SO) | RECAP | ||
2021-02-12 | @ | Penguins0,Flyers2 | RECAP | ||
2021-02-22 | @ | Flyers1,Penguins0 | RECAP | ||
2021-02-23 | @ | Avalanche1,Flyers3 | RECAP | ||
2021-02-25 | @ | Flyers1,Red Wings3 | RECAP | ||
2021-02-28 | @ | Devils5,Flyers3 | RECAP | ||
2021-03-02 | @ | Flyers1,Capitals2 | RECAP | ||
2021-03-04 | @ | Panthers1,Flyers2 | RECAP | ||
2021-03-05 | @ | Flyers3,Islanders1 | RECAP | ||
2021-03-07 | @ | Flyers2,Panthers3 (SO) | RECAP | ||
2021-03-09 | @ | Flyers2,Lightning1 | RECAP | ||
2021-03-12 | @ | Blue Jackets1,Flyers5 | RECAP | ||
2021-03-14 | @ | Flyers2,Blue Jackets3 (SO) | RECAP | ||
2021-03-16 | @ | ||||
2021-03-19 | @ | ||||
2021-03-22 | @ | ||||
2021-03-24 | @ | ||||
2021-03-27 | @ | ||||
2021-03-28 | @ | ||||
2021-03-30 | @ | ||||
2021-04-02 | @ | ||||
2021-04-04 | @ | ||||
2021-04-06 | @ | ||||
2021-04-07 | @ | ||||
2021-04-09 | @ | ||||
2021-04-12 | @ | ||||
2021-04-13 | @ | ||||
2021-04-16 | @ | ||||
2021-04-18 | @ | ||||
2021-04-20 | @ | ||||
2021-04-21 | @ | ||||
2021-04-24 | @ | ||||
2021-04-25 | @ | ||||
2021-04-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,244,032$ | 0$ | 81,244,032$ | 255,968$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Wachovia Center | |
City | Philadelphie | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 164311 | 135792 | 54553 | 110257 | 27479 |
Attendance PCT | 94.43% | 93.65% | 94.06% | 95.05% | 94.76% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
12 | 16979 - 94.33% | 610,948$ | 17,717,499$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,244,032$ | 81,244,032$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
62,398,231$ | 81,244,032$ | 62,398,231$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
7,331,379$ | 43 | 436,796$ | 18,782,228$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
18,782,228$ | 81,244,032$ | -359,166,969$ | -370,617,818$ |
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 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
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 |
---|---|---|---|---|---|
1 ballo phi 2021 | |||||
2 ballo phi 2021 | |||||
Adam Edstrom | 2019 | 172 | |||
Aidan Muir | |||||
Akira Schmid | 2018 | 149 | |||
Al Montoya | Link | ||||
Ales Stezka | |||||
Alexander Belanger | |||||
Alexander Ljungkrantz | 2020 | 101 | |||
Anders Lindback | |||||
Andre Benoit | |||||
Anton Cederholm | |||||
Beau Starret | |||||
Ben Meehan | 2020 | 145 | |||
Benoit-Olivier Groulx | 2018 | 42 | |||
Brandon Gormley | |||||
Brandon Halverson | |||||
Brendan Ranford | |||||
Calen Addison | 2018 | 47 | |||
Casey Wellman | |||||
Colby Williams | |||||
Connor Crisp | |||||
Darren Archibald | |||||
Darren Dietz | |||||
David Booth | |||||
Dawson Barteaux | 2018 | 180 | |||
Drew Commesso | 2020 | 39 | |||
Drew Helleson | 2019 | 73 | |||
Duncan Siemens | |||||
Gabriel Fontaine | 2016 | 164 | |||
Gunnarwolfe Fontaine | 2020 | 194 | |||
Henrik Zetterberg | |||||
Hunter Smith | |||||
Ivan Chukarov | |||||
Jachym Kondelik | 2018 | 118 | |||
Jacob Leguerrier | 2019 | 110 | |||
Jaedon Descheneau | |||||
Jared Fiegl | |||||
Jeremiah Addison | |||||
Jeremy Swayman | |||||
Jesper Vikman | 2020 | 132 | |||
Jonathan Racine | |||||
Jordan Caron | |||||
Jordan Subban | |||||
Joren Van Pottelberghe | |||||
Keith Aucoin | |||||
Kyle Brodziak | Link | ||||
Logan Neaton | 2019 | 141 | |||
Mark Streit | |||||
Mason Shaw | |||||
Matt Brassard | |||||
Matteson Iacopelli | |||||
Matthew Berkovitz | |||||
Max Reinhart | |||||
Nathan Noel | 2016 | 104 | |||
Nikita Okhotyuk | 2019 | 79 | |||
Nikita Soshnikov | Link | ||||
Nolan Vesey | |||||
Parker Foo | |||||
Patrik Berglund | Link | ||||
Pavel Shen | 2018 | 211 | |||
Quinton Byfield | 2020 | 2 | |||
Remi Poirier | 2020 | 187 | |||
Rob KlinkHammer | |||||
Ryan Jones | |||||
Sam Henley | |||||
Samuel Bolduc | 2019 | 48 | |||
Samuel Morin | Link | ||||
Scott Hartnell | |||||
Sean Day | 2016 | 65 | |||
Shawn Thornton | |||||
Tanner Kaspick | 2016 | 134 | |||
Taylor Chorney | |||||
Vasily Ponomarev | 2020 | 67 | |||
justin hache | |||||
michael mckee |
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