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Philadelphie Flyers 41-34-7, 89pts · 5th in Eastern |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Johnny Gaudreau | LW | 99.00 | 59 | 32 | 93 | 85 | 62 | 90 | 86 | 89 | 56 | 88 | 83 | 62 | 87 | 75 | 82 | 0 | 75 | 29 | 8,400,000$/4yrs | |||||
Mika Zibanejad | C | 99.00 | 65 | 36 | 91 | 79 | 80 | 89 | 92 | 76 | 84 | 82 | 79 | 85 | 78 | 76 | 77 | 0 | 75 | 29 | 6,250,000$/1yrs | |||||
William Nylander | LW/RW | 100.00 | 57 | 35 | 93 | 84 | 75 | 88 | 92 | 80 | 64 | 79 | 81 | 67 | 84 | 69 | 71 | 0 | 73 | 26 | 5,875,000$/1yrs | |||||
Jared McCann | LW | 100.00 | 63 | 38 | 89 | 81 | 74 | 82 | 88 | 77 | 75 | 78 | 80 | 65 | 76 | 69 | 73 | 0 | 72 | 26 | 3,292,188$/1yrs | |||||
Paul Stastny | C/LW | 100.00 | 61 | 35 | 89 | 72 | 73 | 88 | 90 | 75 | 86 | 74 | 73 | 69 | 71 | 89 | 80 | 0 | 71 | 37 | 4,812,500$/1yrs | |||||
Joel Farabee | LW/RW | 100.00 | 64 | 46 | 80 | 78 | 71 | 87 | 89 | 77 | 62 | 72 | 78 | 79 | 76 | 62 | 65 | 0 | 71 | 23 | 950,000$/1yrs | |||||
Robert Thomas | C | 100.00 | 56 | 34 | 92 | 78 | 76 | 89 | 85 | 77 | 80 | 83 | 71 | 73 | 76 | 64 | 67 | 0 | 71 | 23 | 5,000,000$/4yrs | |||||
Tomas Tatar | LW/RW | 100.00 | 66 | 33 | 93 | 76 | 65 | 85 | 83 | 77 | 57 | 75 | 72 | 63 | 78 | 80 | 73 | 0 | 70 | 32 | 4,796,875$/2yrs | |||||
Jakub Voracek | LW/RW | 100.00 | 56 | 33 | 84 | 73 | 83 | 88 | 89 | 79 | 59 | 86 | 65 | 61 | 78 | 87 | 75 | 0 | 70 | 33 | 5,000,000$/3yrs | |||||
Jake DeBrusk | LW/RW | 100.00 | 62 | 35 | 93 | 74 | 73 | 85 | 89 | 72 | 56 | 69 | 73 | 66 | 75 | 68 | 71 | 0 | 69 | 26 | 3,779,000$/2yrs | |||||
Johan Larsson | LW | 100.00 | 74 | 53 | 81 | 64 | 73 | 85 | 82 | 65 | 80 | 68 | 65 | 79 | 65 | 73 | 72 | 0 | 67 | 30 | 1,375,000$/3yrs | |||||
Adam Ruzicka (R) | C | 100.00 | 76 | 39 | 92 | 67 | 90 | 83 | 75 | 65 | 78 | 66 | 68 | 64 | 67 | 63 | 65 | 0 | 66 | 23 | 950,000$/3yrs | |||||
Victor Hedman (C) | D | 100.00 | 66 | 39 | 84 | 76 | 99 | 93 | 92 | 75 | 30 | 91 | 77 | 91 | 59 | 83 | 76 | 0 | 76 | 32 | 8,187,500$/1yrs | |||||
Jonas Brodin | D | 100.00 | 59 | 36 | 91 | 71 | 80 | 94 | 91 | 65 | 30 | 77 | 69 | 85 | 55 | 76 | 71 | 0 | 70 | 29 | 5,000,000$/3yrs | |||||
Vince Dunn | D | 100.00 | 64 | 59 | 78 | 77 | 75 | 91 | 89 | 73 | 30 | 78 | 69 | 72 | 57 | 68 | 69 | 0 | 70 | 26 | 1,900,000$/2yrs | |||||
Erik Johnson | D | 100.00 | 76 | 38 | 80 | 66 | 91 | 95 | 83 | 62 | 30 | 74 | 67 | 73 | 51 | 84 | 73 | 0 | 69 | 35 | 2,000,000$/3yrs | |||||
Dante Fabbro | D | 100.00 | 64 | 37 | 86 | 72 | 71 | 90 | 87 | 70 | 30 | 76 | 58 | 75 | 52 | 64 | 65 | 0 | 67 | 24 | 950,000$/1yrs | |||||
J.J. Moser (R) | D | 100.00 | 63 | 38 | 77 | 66 | 72 | 87 | 85 | 67 | 30 | 66 | 62 | 72 | 53 | 62 | 63 | 0 | 65 | 22 | 950,000$/3yrs | |||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.89 | 64 | 39 | 87 | 74 | 77 | 88 | 87 | 73 | 57 | 77 | 72 | 72 | 69 | 73 | 72 | 0 | 70 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Linus Ullmark | 0 | 100.00 | 91 | 88 | 82 | 89 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 71 | 83 | 0 | 74 | 29 | 5,000,000$/4yrs | |
Craig Anderson | 0 | 100.00 | 82 | 70 | 72 | 77 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 93 | 95 | 0 | 69 | 41 | 950,000$/1yrs | |
Scratches | ||||||||||||||||||||
Sergei Bobrovsky | 0 | 100.00 | 94 | 96 | 90 | 77 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 86 | 88 | 0 | 76 | 34 | 3,675,000$/2yrs | |
TEAM AVERAGE | 100.00 | 89 | 85 | 81 | 81 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 83 | 89 | 0 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Boudreau | 73 | 78 | 79 | 77 | 99 | 93 | 42 | CAN | 67 | 1 | 3,500,000$ |
General Manager | Eric Larochelle |
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Priority | Type | Description |
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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 | Mika Zibanejad | Flyers | 0 | C | 82 | 31 | 52 | 83 | 15 | 20 | 0 | 156 | 267 | 78 | 220 | 11.61% | 27 | 20.85 | 8 | 18 | 26 | 0 | 0 | 0 | 171 | 4 | 2 | 51.06% | 0 | 0 | 1.01 | 0 | 6 | 1.06 | ||
2 | Victor Hedman | Flyers | 0 | D | 82 | 16 | 63 | 79 | 7 | 48 | 0 | 156 | 185 | 51 | 87 | 8.65% | 151 | 24.72 | 9 | 24 | 33 | 0 | 0 | 0 | 175 | 3 | 0 | 0.00% | 0 | 0 | 0.96 | 0 | 0 | 0.88 | ||
3 | Johnny Gaudreau | Flyers | 0 | LW | 82 | 31 | 39 | 70 | 20 | 4 | 0 | 67 | 264 | 84 | 181 | 11.74% | 5 | 20.96 | 9 | 9 | 18 | 0 | 0 | 0 | 153 | 4 | 5 | 35.06% | 0 | 0 | 0.85 | 3 | 7 | 0.96 | ||
4 | William Nylander | Flyers | 0 | LW/RW | 79 | 29 | 41 | 70 | 15 | 8 | 0 | 50 | 252 | 62 | 208 | 11.51% | 13 | 20.24 | 9 | 13 | 22 | 1 | 0 | 1 | 131 | 8 | 1 | 35.04% | 0 | 0 | 0.89 | 2 | 6 | 0.98 | ||
5 | Joel Farabee | Flyers | 0 | LW/RW | 82 | 25 | 30 | 55 | -20 | 29 | 5 | 120 | 263 | 71 | 194 | 9.51% | 17 | 18.38 | 4 | 12 | 16 | 0 | 0 | 0 | 88 | 6 | 1 | 45.78% | 0 | 0 | 0.67 | 0 | 0 | 0.65 | ||
6 | Jared McCann | Flyers | 0 | LW | 80 | 23 | 19 | 42 | -3 | 37 | 5 | 120 | 191 | 50 | 143 | 12.04% | 9 | 19.45 | 4 | 8 | 12 | 1 | 0 | 1 | 109 | 7 | 1 | 46.52% | 0 | 0 | 0.53 | 1 | 2 | 0.53 | ||
7 | Paul Stastny | Flyers | 0 | C/LW | 82 | 18 | 22 | 40 | -21 | 18 | 0 | 94 | 179 | 65 | 147 | 10.06% | 9 | 19.71 | 5 | 8 | 13 | 0 | 0 | 0 | 89 | 0 | 2 | 53.18% | 1 | 0 | 0.49 | 0 | 1 | 0.44 | ||
8 | Vince Dunn | Flyers | 0 | D | 82 | 12 | 26 | 38 | 10 | 87 | 25 | 157 | 104 | 45 | 74 | 11.54% | 76 | 24.16 | 10 | 8 | 18 | 0 | 1 | 1 | 163 | 1 | 1 | 0.00% | 0 | 0 | 0.46 | 0 | 0 | 0.37 | ||
9 | Robert Thomas | Flyers | 0 | C | 74 | 14 | 24 | 38 | -8 | 16 | 0 | 43 | 145 | 31 | 136 | 9.66% | 5 | 16.78 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 50.34% | 0 | 1 | 0.51 | 0 | 0 | 0.46 | ||
10 | Jonas Brodin | Flyers | 0 | D | 82 | 6 | 25 | 31 | -18 | 20 | 0 | 80 | 85 | 28 | 62 | 7.06% | 114 | 21.06 | 3 | 3 | 6 | 0 | 2 | 2 | 189 | 1 | 0 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.30 | ||
11 | Dante Fabbro | Flyers | 0 | D | 82 | 6 | 23 | 29 | -3 | 22 | 0 | 65 | 30 | 8 | 22 | 20.00% | 76 | 14.32 | 0 | 1 | 1 | 0 | 1 | 1 | 61 | 1 | 0 | 0.00% | 0 | 0 | 0.35 | 0 | 0 | 0.26 | ||
12 | Jake DeBrusk | Flyers | 0 | LW/RW | 75 | 11 | 9 | 20 | -7 | 11 | 5 | 28 | 110 | 33 | 63 | 10.00% | 3 | 10.45 | 2 | 1 | 3 | 0 | 0 | 0 | 3 | 1 | 0 | 31.08% | 0 | 0 | 0.27 | 0 | 0 | 0.26 | ||
13 | Tomas Tatar | Flyers | 0 | LW/RW | 80 | 8 | 12 | 20 | -13 | 6 | 0 | 50 | 99 | 37 | 78 | 8.08% | 6 | 10.76 | 1 | 3 | 4 | 0 | 0 | 0 | 24 | 1 | 0 | 42.57% | 0 | 0 | 0.25 | 0 | 0 | 0.23 | ||
14 | Johan Larsson | Flyers | 0 | LW | 82 | 10 | 8 | 18 | -3 | 42 | 10 | 89 | 68 | 14 | 48 | 14.71% | 9 | 9.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 46.30% | 0 | 0 | 0.22 | 0 | 0 | 0.15 | ||
15 | Jakub Voracek | Flyers | 0 | LW/RW | 80 | 6 | 12 | 18 | -6 | 16 | 0 | 35 | 96 | 25 | 58 | 6.25% | 6 | 12.94 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 43.58% | 0 | 0 | 0.23 | 0 | 1 | 0.18 | ||
16 | Erik Johnson | Flyers | 0 | D | 66 | 1 | 10 | 11 | -8 | 67 | 5 | 149 | 33 | 9 | 22 | 3.03% | 59 | 15.95 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 1 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.02 | ||
17 | J.J. Moser | Flyers | 0 | D | 53 | 2 | 8 | 10 | 0 | 27 | 5 | 70 | 20 | 3 | 15 | 10.00% | 36 | 14.26 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0.19 | 0 | 0 | 0.13 | ||
18 | Adam Ruzicka | Flyers | 0 | C | 79 | 1 | 6 | 7 | -6 | 14 | 0 | 53 | 27 | 15 | 29 | 3.70% | 3 | 6.96 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 51.72% | 0 | 0 | 0.09 | 0 | 0 | 0.05 | ||
Team Total or Average | 1404 | 250 | 429 | 679 | -49 | 492 | 60 | 1582 | 2418 | 709 | 1787 | 10.34% | 624 | 16.83 | 68 | 114 | 182 | 2463 | 2 | 4 | 6 | 1476 | 39 | 13 | 48.22% | 6863 | 0 | 0 | 1 | 1 | 0.57 | 6 | 23 |
Priority | Type | Description |
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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 | Sergei Bobrovsky | Flyers | 70 | 36 | 27 | 6 | 0.904 | 2.78 | 4146 | 14 | 5 | 192 | 1990 | 0 | 4 | 1 | 0.750 | 20 | 70 | 6 | 8 | 2 | 1 |
2 | Linus Ullmark | Flyers | 15 | 5 | 6 | 1 | 0.911 | 2.74 | 744 | 0 | 2 | 34 | 382 | 0 | 1 | 0 | 0.000 | 0 | 11 | 71 | 2 | 0 | 1 |
Team Total or Average | 85 | 41 | 33 | 7 | 0.905 | 2.77 | 4891 | 14 | 7 | 226 | 2372 | 0 | 5 | 1 | 0.750 | 20 | 81 | 77 | 10 | 2 | 2 |
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 | RedWings | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 8 | 0 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 4 | 1 | 3 | 1 | 65 | 28 | 15 | 22 | 3 | 59 | 25 | 10 | 44 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 47 | 33 | 55 | 13 | 22 | 11 | 50.0% | 12.3% | 86.4% | 98.7 | FUN |
2 | BlackHawks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 60 | 18 | 26 | 16 | 0 | 55 | 17 | 12 | 46 | 11 | 2 | 18.18% | 6 | 2 | 66.67% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 51 | 36 | 43 | 14 | 25 | 13 | 100.0% | 11.7% | 96.4% | 108.0 | LUCKY |
3 | Rangers | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 9 | 7 | 6 | 0.600 | 16 | 30 | 46 | 0 | 1 | 7 | 5 | 4 | 0 | 168 | 52 | 66 | 50 | 0 | 124 | 29 | 33 | 114 | 25 | 6 | 24.00% | 13 | 4 | 69.23% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 129 | 90 | 107 | 35 | 62 | 33 | 66.7% | 9.5% | 92.7% | 102.3 | LUCKY |
4 | Golden Knights | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 4 | 2 | 1 | 0 | 57 | 25 | 16 | 16 | 0 | 58 | 12 | 7 | 44 | 8 | 2 | 25.00% | 1 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 48 | 33 | 46 | 13 | 25 | 13 | 38.5% | 12.3% | 86.2% | 98.5 | FUN |
5 | Penguins | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 23 | -5 | 4 | 0.333 | 18 | 31 | 49 | 1 | 0 | 9 | 7 | 2 | 0 | 166 | 59 | 47 | 60 | 0 | 162 | 47 | 48 | 133 | 21 | 4 | 19.05% | 19 | 4 | 78.95% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 138 | 97 | 148 | 43 | 72 | 34 | 42.4% | 10.8% | 85.8% | 96.6 | FUN |
6 | Sabres | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 15 | 8 | 7 | 6 | 1.000 | 15 | 27 | 42 | 0 | 0 | 6 | 4 | 4 | 1 | 97 | 22 | 33 | 41 | 4 | 106 | 22 | 24 | 52 | 10 | 5 | 50.00% | 11 | 1 | 90.91% | 1 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 81 | 59 | 66 | 20 | 37 | 19 | 58.8% | 15.5% | 92.5% | 107.9 | LUCKY |
7 | Senators | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 5 | 10 | -5 | 1 | 0.167 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 79 | 32 | 18 | 29 | 0 | 113 | 29 | 26 | 60 | 8 | 3 | 37.50% | 13 | 2 | 84.62% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 64 | 40 | 78 | 22 | 38 | 19 | 20.0% | 6.3% | 91.2% | 97.5 | DULL |
8 | MapleLeafs | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 10 | 3 | 4 | 0.667 | 13 | 25 | 38 | 0 | 0 | 3 | 4 | 5 | 1 | 104 | 39 | 28 | 35 | 2 | 101 | 26 | 14 | 45 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 76 | 55 | 67 | 20 | 36 | 19 | 55.0% | 12.5% | 90.1% | 102.6 | FUN |
9 | Flames | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 52 | 21 | 15 | 16 | 0 | 69 | 24 | 25 | 43 | 9 | 1 | 11.11% | 10 | 2 | 80.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 43 | 28 | 51 | 15 | 24 | 11 | 33.3% | 7.7% | 88.4% | 96.1 | Unlucky |
10 | Jets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 65 | 29 | 18 | 18 | 0 | 50 | 16 | 10 | 41 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 52 | 37 | 42 | 14 | 25 | 12 | 42.9% | 4.6% | 92.0% | 96.6 | DULL |
11 | Bruins | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 2 | 0.250 | 8 | 16 | 24 | 0 | 0 | 3 | 4 | 1 | 0 | 117 | 44 | 40 | 33 | 0 | 117 | 25 | 18 | 76 | 17 | 2 | 11.76% | 8 | 1 | 87.50% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 97 | 68 | 91 | 28 | 50 | 26 | 31.6% | 6.8% | 88.0% | 94.9 | Unlucky |
12 | Kings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 3 | 2 | 1 | 0 | 55 | 18 | 19 | 18 | 0 | 62 | 19 | 6 | 49 | 8 | 3 | 37.50% | 3 | 1 | 66.67% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 47 | 33 | 49 | 13 | 23 | 11 | 33.3% | 10.9% | 88.7% | 99.6 | FUN |
13 | Blues | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 54 | 19 | 19 | 16 | 0 | 55 | 10 | 19 | 38 | 4 | 2 | 50.00% | 7 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 41 | 28 | 52 | 15 | 25 | 11 | 50.0% | 9.3% | 94.5% | 103.8 | LUCKY |
14 | Capitals | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 21 | 9 | 12 | 11 | 0.917 | 21 | 36 | 57 | 0 | 2 | 8 | 6 | 7 | 0 | 189 | 63 | 52 | 72 | 5 | 151 | 49 | 29 | 131 | 26 | 9 | 34.62% | 12 | 1 | 91.67% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 159 | 113 | 130 | 42 | 75 | 38 | 60.0% | 11.1% | 94.0% | 105.2 | LUCKY |
15 | Devils | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 16 | -2 | 4 | 0.400 | 14 | 22 | 36 | 0 | 0 | 5 | 3 | 6 | 0 | 145 | 46 | 42 | 57 | 0 | 127 | 30 | 18 | 102 | 15 | 2 | 13.33% | 8 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 121 | 85 | 115 | 36 | 63 | 32 | 42.9% | 9.7% | 87.4% | 97.1 | FUN |
16 | Predators | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 9 | 2 | 5 | 0.833 | 11 | 20 | 31 | 0 | 0 | 3 | 3 | 5 | 0 | 69 | 28 | 21 | 17 | 3 | 105 | 34 | 34 | 61 | 11 | 4 | 36.36% | 12 | 4 | 66.67% | 1 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 62 | 42 | 82 | 22 | 39 | 19 | 58.3% | 15.9% | 91.4% | 107.4 | LUCKY |
17 | Panthers | 5 | 1 | 2 | 0 | 0 | 1 | 1 | 0 | 12 | 13 | -1 | 5 | 0.500 | 12 | 21 | 33 | 0 | 1 | 5 | 2 | 4 | 2 | 133 | 49 | 39 | 45 | 5 | 144 | 43 | 37 | 98 | 13 | 1 | 7.69% | 16 | 4 | 75.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 111 | 77 | 130 | 36 | 63 | 30 | 55.0% | 9.0% | 91.0% | 100.0 | FUN |
18 | Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 1 | 4 | 0 | 61 | 18 | 18 | 25 | 0 | 50 | 17 | 12 | 41 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 49 | 34 | 44 | 14 | 26 | 13 | 50.0% | 9.8% | 86.0% | 95.8 | FUN |
19 | Islanders | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 19 | -4 | 4 | 0.333 | 15 | 25 | 40 | 0 | 1 | 6 | 2 | 7 | 0 | 177 | 55 | 69 | 53 | 0 | 187 | 39 | 30 | 132 | 25 | 4 | 16.00% | 14 | 3 | 78.57% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 144 | 100 | 143 | 41 | 71 | 38 | 40.7% | 8.5% | 89.8% | 98.3 | Unlucky |
20 | Avalanche | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 3 | 1 | 59 | 26 | 18 | 14 | 1 | 62 | 14 | 12 | 36 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 51 | 35 | 43 | 13 | 25 | 13 | 46.7% | 13.6% | 87.1% | 100.7 | FUN |
21 | Oilers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 8 | 4 | 1.000 | 8 | 14 | 22 | 0 | 2 | 2 | 1 | 5 | 0 | 67 | 21 | 19 | 27 | 0 | 53 | 15 | 6 | 48 | 11 | 3 | 27.27% | 2 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 48 | 34 | 46 | 13 | 24 | 13 | 100.0% | 11.9% | 100.0% | 111.9 | LUCKY |
22 | Canucks | 5 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 14 | 17 | -3 | 5 | 0.500 | 14 | 24 | 38 | 0 | 0 | 4 | 6 | 3 | 1 | 156 | 53 | 54 | 47 | 2 | 165 | 48 | 34 | 105 | 13 | 2 | 15.38% | 15 | 1 | 93.33% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 118 | 82 | 122 | 34 | 62 | 30 | 42.9% | 9.0% | 89.7% | 98.7 | FUN |
23 | Ducks | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 6 | 3 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 1 | 5 | 3 | 0 | 65 | 15 | 30 | 18 | 5 | 54 | 20 | 26 | 59 | 12 | 5 | 41.67% | 3 | 1 | 66.67% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 51 | 36 | 48 | 13 | 24 | 13 | 44.4% | 13.8% | 88.9% | 102.7 | FUN |
24 | Lightning | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 77 | 36 | 21 | 20 | 0 | 93 | 25 | 32 | 43 | 7 | 0 | 0.00% | 16 | 5 | 68.75% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 67 | 44 | 74 | 23 | 38 | 18 | 44.4% | 5.2% | 89.2% | 94.4 | Unlucky |
25 | Canadiens | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 2 | 5 | 1 | 1 | 94 | 33 | 32 | 27 | 5 | 82 | 28 | 15 | 55 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 78 | 56 | 70 | 20 | 36 | 18 | 53.3% | 9.6% | 91.5% | 101.0 | LUCKY |
_Vs Division | 28 | 14 | 13 | 0 | 0 | 0 | 0 | 1 | 84 | 76 | 8 | 29 | 0.518 | 84 | 144 | 228 | 1 | 4 | 35 | 23 | 26 | 0 | 845 | 275 | 276 | 292 | 5 | 751 | 194 | 158 | 612 | 112 | 25 | 22.32% | 66 | 12 | 81.82% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 693 | 487 | 645 | 199 | 345 | 177 | 48.0% | 9.9% | 89.9% | 99.8 | FUN | |
_Vs Conference | 52 | 20 | 25 | 0 | 1 | 2 | 3 | 1 | 150 | 148 | 2 | 51 | 0.490 | 150 | 264 | 414 | 1 | 5 | 60 | 45 | 41 | 5 | 1546 | 530 | 487 | 522 | 21 | 1507 | 392 | 324 | 1041 | 182 | 39 | 21.43% | 142 | 26 | 81.69% | 1 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 1270 | 890 | 1224 | 373 | 647 | 328 | 47.6% | 9.7% | 90.2% | 99.9 | FUN | |
_Since Last GM Reset | 82 | 35 | 34 | 0 | 3 | 4 | 3 | 3 | 246 | 235 | 11 | 89 | 0.543 | 246 | 435 | 681 | 1 | 7 | 92 | 76 | 72 | 8 | 2431 | 849 | 775 | 792 | 35 | 2404 | 663 | 537 | 1696 | 294 | 64 | 21.77% | 223 | 38 | 82.96% | 2 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 1984 | 1389 | 1953 | 586 | 1022 | 516 | 48.0% | 10.1% | 90.2% | 100.3 | FUN | |
Total | 82 | 35 | 34 | 0 | 3 | 4 | 3 | 3 | 246 | 235 | 11 | 89 | 0.543 | 246 | 435 | 681 | 1 | 7 | 92 | 76 | 72 | 8 | 2431 | 849 | 775 | 792 | 35 | 2404 | 663 | 537 | 1696 | 294 | 64 | 21.77% | 223 | 38 | 82.96% | 2 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 1984 | 1389 | 1953 | 586 | 1022 | 516 | 48.0% | 10.1% | 90.2% | 100.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2861 |
Neutral Zone Start | 1295 |
Defensive Zone Start | 2749 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3348 |
Faceoffs Lost | 3557 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 29.5 | 30.68 |
Overtime | 29.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 179 |
---|---|
PP Goal | 64 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 22 | 19 |
Lost | 14 | 20 |
Overtime Lost | 5 | 2 |
PP Attempt | 294 |
---|---|
PP Goal | 64 |
PK Attempt | 223 |
PK Goal Against | 38 |
Home | |
---|---|
Shots For | 29.6 |
Shots Against | 29.3 |
Goals For | 3.0 |
Goals Against | 2.9 |
Hits | 20.7 |
Shots Blocked | 8.1 |
Pim | 6.5 |
Projected Total Cap Hit | 77,597,764$ |
Projected Cap Space | 5,902,236$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 77,597,764$ |
Players In Salary Cap | 20 |
Contracts | 35/50 |
LTIR Players | 1 |
Flyers Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka | C | 23 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Craig Anderson | G | 41 | 950,000$ | 950,000$ | |||||||
Dante Fabbro | D | 24 | 950,000$ | 950,000$ | |||||||
Erik Johnson | D | 35 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
J.J. Moser | D | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Jake DeBrusk | LW/RW | 26 | 3,779,000$ | 3,800,000$ | 4,300,000$ | ||||||
Jakub Voracek | LW/RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Jared McCann | LW | 26 | 3,292,188$ | 3,900,000$ | |||||||
Joel Farabee | LW/RW | 23 | 950,000$ | 950,000$ | |||||||
Johan Larsson | LW | 30 | 1,375,000$ | 1,250,000$ | 1,500,000$ | 1,750,000$ | |||||
Johnny Gaudreau | LW | 29 | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ | ||||
Jonas Brodin | D | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,500,000$ | |||||
Linus Ullmark | G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||
Mika Zibanejad | C | 29 | 6,250,000$ | 7,000,000$ | |||||||
Paul Stastny | C/LW | 37 | 4,812,500$ | 4,900,000$ | |||||||
Robert Thomas | C | 23 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||
Sergei Bobrovsky | G | 34 | 3,675,000$ | 3,825,000$ | 3,600,000$ | ||||||
Tomas Tatar | LW/RW | 32 | 4,796,875$ | 4,987,500$ | 4,950,000$ | ||||||
Victor Hedman | D | 32 | 8,187,500$ | 8,500,000$ | |||||||
Vince Dunn | D | 26 | 1,900,000$ | 1,850,000$ | 2,350,000$ | ||||||
William Nylander | LW/RW | 26 | 5,875,000$ | 6,825,000$ |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Connor Clifton | D | 27 | 950,000$ | 950,000$ | |||||||
Erik Brannstrom | D | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Jacob Bryson | D | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
Jaret Anderson-Dolan | C | 23 | 950,000$ | 950,000$ | 950,000$ | ||||||
Justus Annunen | G | 23 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Juuso Valimaki | D | 24 | 950,000$ | 950,000$ | 950,000$ | ||||||
Kevin Bahl | D | 22 | 950,000$ | 950,000$ | 950,000$ | ||||||
Matthew Peca | C | 29 | 1,375,000$ | 1,500,000$ | 1,750,000$ | ||||||
Morgan Geekie | C | 24 | 950,000$ | 950,000$ | 950,000$ | ||||||
Nikita Okhotiuk | D | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Otto Koivula | LW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Pavel Francouz | G | 32 | 1,100,000$ | 1,100,000$ | |||||||
Ronnie Attard | D | 24 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
Slater Koekkoek | D | 29 | 1,375,000$ | 1,500,000$ | 1,750,000$ |
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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 | RedWings | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 8 | 0 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 4 | 1 | 3 | 1 | 65 | 28 | 15 | 22 | 3 | 59 | 25 | 10 | 44 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 47 | 33 | 55 | 13 | 22 | 11 | 50.0% | 12.3% | 86.4% | 98.7 | FUN |
2 | BlackHawks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 60 | 18 | 26 | 16 | 0 | 55 | 17 | 12 | 46 | 11 | 2 | 18.18% | 6 | 2 | 66.67% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 51 | 36 | 43 | 14 | 25 | 13 | 100.0% | 11.7% | 96.4% | 108.0 | LUCKY |
3 | Rangers | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 9 | 7 | 6 | 0.600 | 16 | 30 | 46 | 0 | 1 | 7 | 5 | 4 | 0 | 168 | 52 | 66 | 50 | 0 | 124 | 29 | 33 | 114 | 25 | 6 | 24.00% | 13 | 4 | 69.23% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 129 | 90 | 107 | 35 | 62 | 33 | 66.7% | 9.5% | 92.7% | 102.3 | LUCKY |
4 | Golden Knights | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 4 | 2 | 1 | 0 | 57 | 25 | 16 | 16 | 0 | 58 | 12 | 7 | 44 | 8 | 2 | 25.00% | 1 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 48 | 33 | 46 | 13 | 25 | 13 | 38.5% | 12.3% | 86.2% | 98.5 | FUN |
5 | Penguins | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 23 | -5 | 4 | 0.333 | 18 | 31 | 49 | 1 | 0 | 9 | 7 | 2 | 0 | 166 | 59 | 47 | 60 | 0 | 162 | 47 | 48 | 133 | 21 | 4 | 19.05% | 19 | 4 | 78.95% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 138 | 97 | 148 | 43 | 72 | 34 | 42.4% | 10.8% | 85.8% | 96.6 | FUN |
6 | Sabres | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 15 | 8 | 7 | 6 | 1.000 | 15 | 27 | 42 | 0 | 0 | 6 | 4 | 4 | 1 | 97 | 22 | 33 | 41 | 4 | 106 | 22 | 24 | 52 | 10 | 5 | 50.00% | 11 | 1 | 90.91% | 1 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 81 | 59 | 66 | 20 | 37 | 19 | 58.8% | 15.5% | 92.5% | 107.9 | LUCKY |
7 | Senators | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 5 | 10 | -5 | 1 | 0.167 | 5 | 9 | 14 | 0 | 0 | 4 | 1 | 0 | 0 | 79 | 32 | 18 | 29 | 0 | 113 | 29 | 26 | 60 | 8 | 3 | 37.50% | 13 | 2 | 84.62% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 64 | 40 | 78 | 22 | 38 | 19 | 20.0% | 6.3% | 91.2% | 97.5 | DULL |
8 | MapleLeafs | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 10 | 3 | 4 | 0.667 | 13 | 25 | 38 | 0 | 0 | 3 | 4 | 5 | 1 | 104 | 39 | 28 | 35 | 2 | 101 | 26 | 14 | 45 | 8 | 2 | 25.00% | 7 | 1 | 85.71% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 76 | 55 | 67 | 20 | 36 | 19 | 55.0% | 12.5% | 90.1% | 102.6 | FUN |
9 | Flames | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 52 | 21 | 15 | 16 | 0 | 69 | 24 | 25 | 43 | 9 | 1 | 11.11% | 10 | 2 | 80.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 43 | 28 | 51 | 15 | 24 | 11 | 33.3% | 7.7% | 88.4% | 96.1 | Unlucky |
10 | Jets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 65 | 29 | 18 | 18 | 0 | 50 | 16 | 10 | 41 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 52 | 37 | 42 | 14 | 25 | 12 | 42.9% | 4.6% | 92.0% | 96.6 | DULL |
11 | Bruins | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 2 | 0.250 | 8 | 16 | 24 | 0 | 0 | 3 | 4 | 1 | 0 | 117 | 44 | 40 | 33 | 0 | 117 | 25 | 18 | 76 | 17 | 2 | 11.76% | 8 | 1 | 87.50% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 97 | 68 | 91 | 28 | 50 | 26 | 31.6% | 6.8% | 88.0% | 94.9 | Unlucky |
12 | Kings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 3 | 2 | 1 | 0 | 55 | 18 | 19 | 18 | 0 | 62 | 19 | 6 | 49 | 8 | 3 | 37.50% | 3 | 1 | 66.67% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 47 | 33 | 49 | 13 | 23 | 11 | 33.3% | 10.9% | 88.7% | 99.6 | FUN |
13 | Blues | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 54 | 19 | 19 | 16 | 0 | 55 | 10 | 19 | 38 | 4 | 2 | 50.00% | 7 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 41 | 28 | 52 | 15 | 25 | 11 | 50.0% | 9.3% | 94.5% | 103.8 | LUCKY |
14 | Capitals | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 21 | 9 | 12 | 11 | 0.917 | 21 | 36 | 57 | 0 | 2 | 8 | 6 | 7 | 0 | 189 | 63 | 52 | 72 | 5 | 151 | 49 | 29 | 131 | 26 | 9 | 34.62% | 12 | 1 | 91.67% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 159 | 113 | 130 | 42 | 75 | 38 | 60.0% | 11.1% | 94.0% | 105.2 | LUCKY |
15 | Devils | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 16 | -2 | 4 | 0.400 | 14 | 22 | 36 | 0 | 0 | 5 | 3 | 6 | 0 | 145 | 46 | 42 | 57 | 0 | 127 | 30 | 18 | 102 | 15 | 2 | 13.33% | 8 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 121 | 85 | 115 | 36 | 63 | 32 | 42.9% | 9.7% | 87.4% | 97.1 | FUN |
16 | Predators | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 9 | 2 | 5 | 0.833 | 11 | 20 | 31 | 0 | 0 | 3 | 3 | 5 | 0 | 69 | 28 | 21 | 17 | 3 | 105 | 34 | 34 | 61 | 11 | 4 | 36.36% | 12 | 4 | 66.67% | 1 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 62 | 42 | 82 | 22 | 39 | 19 | 58.3% | 15.9% | 91.4% | 107.4 | LUCKY |
17 | Panthers | 5 | 1 | 2 | 0 | 0 | 1 | 1 | 0 | 12 | 13 | -1 | 5 | 0.500 | 12 | 21 | 33 | 0 | 1 | 5 | 2 | 4 | 2 | 133 | 49 | 39 | 45 | 5 | 144 | 43 | 37 | 98 | 13 | 1 | 7.69% | 16 | 4 | 75.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 111 | 77 | 130 | 36 | 63 | 30 | 55.0% | 9.0% | 91.0% | 100.0 | FUN |
18 | Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 1 | 4 | 0 | 61 | 18 | 18 | 25 | 0 | 50 | 17 | 12 | 41 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 49 | 34 | 44 | 14 | 26 | 13 | 50.0% | 9.8% | 86.0% | 95.8 | FUN |
19 | Islanders | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 19 | -4 | 4 | 0.333 | 15 | 25 | 40 | 0 | 1 | 6 | 2 | 7 | 0 | 177 | 55 | 69 | 53 | 0 | 187 | 39 | 30 | 132 | 25 | 4 | 16.00% | 14 | 3 | 78.57% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 144 | 100 | 143 | 41 | 71 | 38 | 40.7% | 8.5% | 89.8% | 98.3 | Unlucky |
20 | Avalanche | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 3 | 1 | 59 | 26 | 18 | 14 | 1 | 62 | 14 | 12 | 36 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 51 | 35 | 43 | 13 | 25 | 13 | 46.7% | 13.6% | 87.1% | 100.7 | FUN |
21 | Oilers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 8 | 4 | 1.000 | 8 | 14 | 22 | 0 | 2 | 2 | 1 | 5 | 0 | 67 | 21 | 19 | 27 | 0 | 53 | 15 | 6 | 48 | 11 | 3 | 27.27% | 2 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 48 | 34 | 46 | 13 | 24 | 13 | 100.0% | 11.9% | 100.0% | 111.9 | LUCKY |
22 | Canucks | 5 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 14 | 17 | -3 | 5 | 0.500 | 14 | 24 | 38 | 0 | 0 | 4 | 6 | 3 | 1 | 156 | 53 | 54 | 47 | 2 | 165 | 48 | 34 | 105 | 13 | 2 | 15.38% | 15 | 1 | 93.33% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 118 | 82 | 122 | 34 | 62 | 30 | 42.9% | 9.0% | 89.7% | 98.7 | FUN |
23 | Ducks | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 6 | 3 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 1 | 5 | 3 | 0 | 65 | 15 | 30 | 18 | 5 | 54 | 20 | 26 | 59 | 12 | 5 | 41.67% | 3 | 1 | 66.67% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 51 | 36 | 48 | 13 | 24 | 13 | 44.4% | 13.8% | 88.9% | 102.7 | FUN |
24 | Lightning | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 77 | 36 | 21 | 20 | 0 | 93 | 25 | 32 | 43 | 7 | 0 | 0.00% | 16 | 5 | 68.75% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 67 | 44 | 74 | 23 | 38 | 18 | 44.4% | 5.2% | 89.2% | 94.4 | Unlucky |
25 | Canadiens | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 2 | 5 | 1 | 1 | 94 | 33 | 32 | 27 | 5 | 82 | 28 | 15 | 55 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 78 | 56 | 70 | 20 | 36 | 18 | 53.3% | 9.6% | 91.5% | 101.0 | LUCKY |
_Vs Division | 28 | 14 | 13 | 0 | 0 | 0 | 0 | 1 | 84 | 76 | 8 | 29 | 0.518 | 84 | 144 | 228 | 1 | 4 | 35 | 23 | 26 | 0 | 845 | 275 | 276 | 292 | 5 | 751 | 194 | 158 | 612 | 112 | 25 | 22.32% | 66 | 12 | 81.82% | 0 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 693 | 487 | 645 | 199 | 345 | 177 | 48.0% | 9.9% | 89.9% | 99.8 | FUN | |
_Vs Conference | 52 | 20 | 25 | 0 | 1 | 2 | 3 | 1 | 150 | 148 | 2 | 51 | 0.490 | 150 | 264 | 414 | 1 | 5 | 60 | 45 | 41 | 5 | 1546 | 530 | 487 | 522 | 21 | 1507 | 392 | 324 | 1041 | 182 | 39 | 21.43% | 142 | 26 | 81.69% | 1 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 1270 | 890 | 1224 | 373 | 647 | 328 | 47.6% | 9.7% | 90.2% | 99.9 | FUN | |
_Since Last GM Reset | 82 | 35 | 34 | 0 | 3 | 4 | 3 | 3 | 246 | 235 | 11 | 89 | 0.543 | 246 | 435 | 681 | 1 | 7 | 92 | 76 | 72 | 8 | 2431 | 849 | 775 | 792 | 35 | 2404 | 663 | 537 | 1696 | 294 | 64 | 21.77% | 223 | 38 | 82.96% | 2 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 1984 | 1389 | 1953 | 586 | 1022 | 516 | 48.0% | 10.1% | 90.2% | 100.3 | FUN | |
Total | 82 | 35 | 34 | 0 | 3 | 4 | 3 | 3 | 246 | 235 | 11 | 89 | 0.543 | 246 | 435 | 681 | 1 | 7 | 92 | 76 | 72 | 8 | 2431 | 849 | 775 | 792 | 35 | 2404 | 663 | 537 | 1696 | 294 | 64 | 21.77% | 223 | 38 | 82.96% | 2 | 1395 | 2861 | 48.76% | 1286 | 2749 | 46.78% | 667 | 1295 | 51.51% | 1984 | 1389 | 1953 | 586 | 1022 | 516 | 48.0% | 10.1% | 90.2% | 100.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2861 |
Neutral Zone Start | 1295 |
Defensive Zone Start | 2749 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3348 |
Faceoffs Lost | 3557 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 29.5 | 30.68 |
Overtime | 29.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 179 |
---|---|
PP Goal | 64 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 22 | 19 |
Lost | 14 | 20 |
Overtime Lost | 5 | 2 |
PP Attempt | 294 |
---|---|
PP Goal | 64 |
PK Attempt | 223 |
PK Goal Against | 38 |
Home | |
---|---|
Shots For | 29.6 |
Shots Against | 29.3 |
Goals For | 3.0 |
Goals Against | 2.9 |
Hits | 20.7 |
Shots Blocked | 8.1 |
Pim | 6.5 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,987,500$ | 0$ | 77,597,764$ | 5,902,236$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Wells Fargo Center | ||
City | Philadelphie | ||
Capacity | 17565 | ||
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6500 | 5000 | 3500 | 1565 | 1000 |
Ticket Price | 105$ | 75$ | 55$ | 40$ | 199$ |
Attendance | 258705 | 200883 | 135948 | 64165 | 39107 |
Attendance PCT | 97.08% | 97.99% | 94.74% | 100.00% | 95.38% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 17044 - 97.03% | 1,830,984$ | 75,070,351$ | 17565 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,987,500$ | 79,093,063$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
84,241,069$ | 427,530$ | 77,597,764$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 462,095$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 77,597,764$ | 160,616,016$ | 160,616,016$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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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 |
---|---|---|---|---|---|
Albin Grewe | Flyers | 2020 | 72 | ||
Axel Andersson | Flyers | 2019 | 71 | ||
Benjamin Roger | Flyers | 2022 | 69 | ||
Cameron Morrison | Flyers | 2017 | 54 | ||
Daniil Misyul | Flyers | 2020 | 110 | ||
Dmitri Semykin | Flyers | 2019 | 102 | ||
Drew Commesso | Flyers | 2021 | 16 | ||
Drew Helleson | Flyers | 2020 | 84 | ||
Eemeli Rasanen | Flyers | 2018 | 60 | ||
Emil Martinsen-Lilleberg | Flyers | 2022 | 121 | ||
Joey Keane | Flyers | 2019 | 101 | ||
Josh Bloom | Flyers | 2022 | 95 | ||
Leevi Merilainen | Flyers | 2021 | 38 | ||
Maksim Zhukov | Flyers | 2018 | 96 | ||
Matthew Samoskevich | Flyers | 2022 | 43 | ||
Nico Gross | Flyers | 2019 | 127 | ||
Olivier Rodrigue | Flyers | 2019 | 49 | ||
Olof Lindbom | Flyers | 2019 | 43 | ||
Oskar Olausson | Flyers | 2022 | 21 | ||
Patrick Harper | Flyers | 2017 | 44 | ||
Seth Barton | Flyers | 2019 | 99 | ||
Tarmo Reunanen | Flyers | 2017 | 123 | ||
Troy Grosenick | Flyers | Link | |||
Vitali Kravtsov | Flyers | 2019 | 6 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Albin Grewe | Flyers | 2020 | 72 | ||
Axel Andersson | Flyers | 2019 | 71 | ||
Benjamin Roger | Flyers | 2022 | 69 | ||
Cameron Morrison | Flyers | 2017 | 54 | ||
Daniil Misyul | Flyers | 2020 | 110 | ||
Dmitri Semykin | Flyers | 2019 | 102 | ||
Drew Commesso | Flyers | 2021 | 16 | ||
Drew Helleson | Flyers | 2020 | 84 | ||
Eemeli Rasanen | Flyers | 2018 | 60 | ||
Emil Martinsen-Lilleberg | Flyers | 2022 | 121 | ||
Joey Keane | Flyers | 2019 | 101 | ||
Josh Bloom | Flyers | 2022 | 95 | ||
Leevi Merilainen | Flyers | 2021 | 38 | ||
Maksim Zhukov | Flyers | 2018 | 96 | ||
Matthew Samoskevich | Flyers | 2022 | 43 | ||
Nico Gross | Flyers | 2019 | 127 | ||
Olivier Rodrigue | Flyers | 2019 | 49 | ||
Olof Lindbom | Flyers | 2019 | 43 | ||
Oskar Olausson | Flyers | 2022 | 21 | ||
Patrick Harper | Flyers | 2017 | 44 | ||
Seth Barton | Flyers | 2019 | 99 | ||
Tarmo Reunanen | Flyers | 2017 | 123 | ||
Troy Grosenick | Flyers | Link | |||
Vitali Kravtsov | Flyers | 2019 | 6 |
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