Philadelphia Flyers | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Interim | Morale : 99 | Moyenne d’équipe : 72 Prochains matchs #5 vs Toronto Maple Leafs |
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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 |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nathan Horton (C) | X | 100.00 | 99 | 87 | 58 | 83 | 81 | 87 | 88 | 99 | 83 | 99 | 99 | 85 | 82 | 99 | 99 | 19 | 99 | 84 | 0 | 38 | 1 | 6,200,000$ | ||||
2 | Oscar Moller | X | X | 100.00 | 48 | 14 | 99 | 86 | 73 | 82 | 83 | 89 | 85 | 87 | 89 | 58 | 73 | 83 | 96 | 22 | 99 | 75 | 0 | 34 | 3 | 5,200,000$ | |||
3 | Jared Boll | X | 100.00 | 99 | 99 | 53 | 85 | 75 | 82 | 79 | 89 | 66 | 85 | 89 | 58 | 75 | 85 | 84 | 32 | 99 | 75 | 0 | 37 | 2 | 7,000,000$ | ||||
4 | Marco Rossi (R) | X | 100.00 | 71 | 32 | 80 | 77 | 73 | 84 | 82 | 90 | 80 | 80 | 78 | 74 | 71 | 54 | 70 | 82 | 99 | 73 | 0 | 21 | 5 | 2,500,000$ | ||||
5 | Daniel Winnik | X | X | X | 100.00 | 89 | 63 | 67 | 87 | 79 | 76 | 78 | 84 | 86 | 83 | 78 | 62 | 64 | 84 | 85 | 28 | 99 | 73 | 0 | 38 | 1 | 6,116,900$ | ||
6 | Gilbert Brule | X | 100.00 | 32 | 6 | 98 | 87 | 73 | 82 | 80 | 78 | 86 | 73 | 75 | 67 | 70 | 99 | 99 | 37 | 99 | 71 | N | 0 | 36 | 2 | 501,000$ | |||
7 | Jaden Schwartz | X | X | 100.00 | 38 | 1 | 99 | 89 | 76 | 83 | 83 | 79 | 85 | 75 | 71 | 74 | 72 | 70 | 76 | 40 | 99 | 71 | N | 0 | 31 | 3 | 3,850,000$ | ||
8 | Dmitri Jaskin | X | X | 100.00 | 66 | 30 | 82 | 87 | 77 | 85 | 83 | 80 | 54 | 69 | 74 | 68 | 72 | 80 | 79 | 47 | 99 | 71 | 0 | 30 | 1 | 1,000,000$ | |||
9 | Colle Cassels | X | 100.00 | 92 | 57 | 62 | 80 | 74 | 79 | 81 | 74 | 87 | 71 | 71 | 73 | 65 | 73 | 82 | 52 | 99 | 71 | 0 | 28 | 3 | 1,500,000$ | ||||
10 | Scott Kosmachuk | X | 100.00 | 81 | 50 | 76 | 84 | 76 | 79 | 83 | 75 | 49 | 71 | 75 | 65 | 70 | 80 | 75 | 47 | 99 | 70 | 0 | 29 | 2 | 1,800,000$ | ||||
11 | Karl Henriksson | X | X | 100.00 | 67 | 26 | 80 | 82 | 72 | 70 | 74 | 84 | 80 | 78 | 71 | 71 | 68 | 63 | 73 | 70 | 99 | 70 | 0 | 22 | 1 | 1,200,000$ | |||
12 | Brett Howden | X | 100.00 | 80 | 43 | 73 | 77 | 77 | 78 | 80 | 71 | 87 | 66 | 69 | 78 | 71 | 70 | 84 | 72 | 99 | 70 | 0 | 25 | 1 | 1,100,000$ | ||||
13 | Erik Karlsson | X | 100.00 | 31 | 1 | 99 | 85 | 70 | 82 | 82 | 99 | 62 | 99 | 99 | 60 | 75 | 85 | 96 | 30 | 99 | 76 | N | 0 | 33 | 7 | 5,900,000$ | |||
14 | Jakub Kindl | X | 100.00 | 36 | 14 | 98 | 84 | 79 | 78 | 74 | 89 | 46 | 90 | 88 | 70 | 65 | 80 | 79 | 41 | 99 | 74 | 0 | 36 | 3 | 2,000,000$ | ||||
15 | Zachary Jones | X | 100.00 | 68 | 25 | 85 | 85 | 75 | 82 | 82 | 93 | 57 | 87 | 73 | 71 | 63 | 38 | 59 | 61 | 99 | 73 | 0 | 22 | 4 | 4,150,000$ | ||||
16 | Keaton Ellerby | X | 100.00 | 63 | 33 | 81 | 88 | 77 | 82 | 80 | 48 | 50 | 49 | 44 | 83 | 55 | 99 | 99 | 26 | 99 | 71 | N | 0 | 36 | 3 | 2,000,000$ | |||
17 | Roman Josi | X | 100.00 | 46 | 13 | 98 | 89 | 76 | 80 | 83 | 83 | 59 | 71 | 84 | 60 | 75 | 80 | 78 | 23 | 99 | 71 | 0 | 33 | 1 | 700,000$ | ||||
18 | Josh Brook | X | 100.00 | 79 | 38 | 72 | 79 | 76 | 78 | 80 | 72 | 57 | 70 | 70 | 77 | 63 | 51 | 51 | 65 | 99 | 70 | 0 | 24 | 4 | 2,000,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Jonathan Dalhen (R) | X | X | 100.00 | 83 | 48 | 71 | 87 | 75 | 75 | 79 | 79 | 86 | 69 | 74 | 68 | 70 | 60 | 49 | 62 | 99 | 69 | 0 | 25 | 2 | 975,000$ | |||
2 | Jesper Lindgren | X | 100.00 | 63 | 25 | 82 | 88 | 71 | 84 | 83 | 82 | 54 | 82 | 74 | 66 | 60 | 60 | 69 | 51 | 99 | 71 | 0 | 27 | 1 | 900,000$ | ||||
3 | Olli Juolevi | X | 100.00 | 63 | 20 | 88 | 84 | 79 | 84 | 82 | 70 | 57 | 72 | 68 | 74 | 67 | 56 | 75 | 71 | 99 | 70 | 0 | 25 | 2 | 1,450,000$ | ||||
Équipe Mineure | |||||||||||||||||||||||||||||
1 | Morgan Klimchuk | X | 99.00 | 65 | 32 | 79 | 83 | 74 | 81 | 81 | 71 | 51 | 66 | 69 | 73 | 68 | 75 | 82 | 62 | 99 | 69 | 0 | 29 | 1 | 1,000,000$ | ||||
2 | Joshua Bailey | X | 100.00 | 48 | 15 | 95 | 87 | 74 | 81 | 82 | 66 | 87 | 66 | 63 | 71 | 65 | 96 | 95 | 32 | 99 | 69 | 0 | 35 | 2 | 1,499,999$ | ||||
3 | Mike Brown | X | X | 98.00 | 99 | 99 | 57 | 85 | 77 | 82 | 79 | 72 | 62 | 73 | 73 | 58 | 74 | 78 | 79 | 26 | 99 | 69 | 0 | 38 | 2 | 1,200,000$ | |||
4 | Zachary Bolduc (R) | X | 99.00 | 73 | 29 | 81 | 72 | 73 | 78 | 78 | 81 | 79 | 74 | 74 | 72 | 74 | 54 | 67 | 82 | 99 | 69 | 0 | 20 | 2 | 925,000$ | ||||
5 | Tye McGinn | X | 100.00 | 70 | 35 | 82 | 87 | 78 | 81 | 83 | 57 | 52 | 55 | 59 | 70 | 65 | 97 | 94 | 24 | 99 | 67 | 0 | 33 | 1 | 600,000$ | ||||
6 | Reilly Smith | X | X | 100.00 | 44 | 12 | 98 | 87 | 74 | 83 | 83 | 66 | 53 | 56 | 68 | 70 | 68 | 82 | 91 | 32 | 99 | 67 | N | 0 | 31 | 1 | 850,000$ | ||
7 | Peyton Krebs (R) | X | X | 99.00 | 74 | 37 | 71 | 67 | 72 | 67 | 67 | 80 | 78 | 75 | 69 | 68 | 69 | 55 | 77 | 75 | 99 | 66 | 0 | 22 | 2 | 500,000$ | |||
8 | Rocco Grimaldi | X | X | 100.00 | 63 | 21 | 83 | 86 | 68 | 81 | 83 | 66 | 87 | 57 | 66 | 63 | 68 | 71 | 75 | 46 | 99 | 66 | N | 0 | 29 | 2 | 500,001$ | ||
9 | Barrett Hayton (R) | X | X | 100.00 | 72 | 38 | 72 | 70 | 76 | 63 | 63 | 68 | 76 | 67 | 68 | 69 | 68 | 65 | 75 | 83 | 99 | 65 | 0 | 23 | 3 | 500,000$ | |||
10 | Ryan McAllister (R) | X | 100.00 | 71 | 31 | 77 | 72 | 75 | 68 | 68 | 81 | 73 | 77 | 71 | 65 | 71 | 40 | 47 | 54 | 99 | 65 | 0 | 21 | 3 | 925,000$ | ||||
11 | Tyler Boucher (R) | X | X | 100.00 | 74 | 38 | 66 | 72 | 76 | 62 | 62 | 62 | 60 | 63 | 70 | 70 | 70 | 51 | 51 | 88 | 99 | 63 | 0 | 20 | 3 | 500,000$ | |||
12 | Tyson Foerster (R) | X | 100.00 | 73 | 39 | 73 | 67 | 75 | 67 | 67 | 69 | 78 | 65 | 69 | 65 | 70 | 45 | 48 | 80 | 99 | 62 | 0 | 21 | 2 | 650,000$ | ||||
13 | Marco Scandella | X | 99.00 | 56 | 24 | 95 | 87 | 81 | 85 | 83 | 51 | 57 | 47 | 46 | 75 | 59 | 92 | 93 | 27 | 99 | 68 | 0 | 33 | 2 | 1,499,999$ | ||||
14 | Tanner Molendyk (R) | X | 99.00 | 68 | 29 | 79 | 74 | 73 | 73 | 73 | 63 | 63 | 70 | 66 | 78 | 66 | 36 | 41 | 81 | 99 | 66 | 0 | 18 | 3 | 925,000$ | ||||
15 | Scott Morrow (R) | X | 100.00 | 70 | 37 | 77 | 67 | 76 | 72 | 72 | 72 | 58 | 69 | 73 | 70 | 71 | 29 | 44 | 74 | 99 | 65 | 0 | 20 | 2 | 650,000$ | ||||
16 | Artyom Duba (R) | X | 100.00 | 69 | 34 | 76 | 70 | 72 | 70 | 70 | 62 | 58 | 68 | 67 | 71 | 67 | 43 | 49 | 77 | 99 | 64 | 0 | 19 | 3 | 650,000$ | ||||
17 | Adam Tambellini | X | X | 100.00 | 63 | 32 | 81 | 78 | 77 | 76 | 81 | 66 | 86 | 60 | 68 | 66 | 68 | 64 | 72 | 50 | 99 | 66 | N | 0 | 29 | 2 | 500,001$ | ||
18 | Stephen Halliday (R) | X | 100.00 | 76 | 43 | 71 | 67 | 80 | 65 | 65 | 76 | 75 | 72 | 69 | 66 | 68 | 47 | 50 | 67 | 99 | 64 | 0 | 21 | 2 | 650,000$ | ||||
19 | Jaromir Pytlik (R) | X | 100.00 | 71 | 37 | 73 | 65 | 78 | 63 | 66 | 62 | 77 | 58 | 63 | 69 | 65 | 40 | 36 | 65 | 99 | 60 | 0 | 22 | 1 | 500,000$ | ||||
20 | Owen Power (R) | X | 94.00 | 77 | 38 | 80 | 70 | 82 | 80 | 80 | 80 | 63 | 75 | 72 | 73 | 70 | 51 | 72 | 90 | 99 | 70 | 0 | 20 | 1 | 925,000$ | ||||
21 | Carson Lambos (R) | X | 94.91 | 76 | 34 | 82 | 78 | 77 | 81 | 82 | 67 | 53 | 71 | 68 | 79 | 66 | 38 | 52 | 77 | 99 | 69 | 0 | 20 | 1 | 925,000$ | ||||
22 | Jacob Moverare (R) | X | 100.00 | 79 | 41 | 75 | 76 | 79 | 83 | 83 | 63 | 57 | 69 | 56 | 65 | 55 | 70 | 65 | 60 | 99 | 67 | 0 | 24 | 2 | 750,000$ | ||||
23 | Timothy Lijegren (R) | X | 100.00 | 66 | 33 | 83 | 87 | 77 | 76 | 77 | 57 | 53 | 53 | 63 | 63 | 70 | 63 | 66 | 69 | 99 | 64 | 0 | 24 | 2 | 615,000$ | ||||
24 | Santeri Airola (R) | X | 100.00 | 63 | 25 | 82 | 79 | 68 | 73 | 76 | 69 | 51 | 69 | 49 | 60 | 50 | 48 | 48 | 54 | 99 | 62 | N | 0 | 23 | 3 | 500,001$ | |||
MOYENNE D’ÉQUIPE | 100.00 | 66 | 35 | 81 | 84 | 75 | 81 | 81 | 81 | 69 | 77 | 77 | 70 | 69 | 74 | 79 | 47 | 99 | 72 |
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 |
# | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Thomas McCollum | 100.00 | 82 | 84 | 83 | 87 | 93 | 99 | 99 | 99 | 98 | 82 | 84 | 85 | 90 | 42 | 99 | 76 | 0 | 35 | 5 | 5,800,000$ | |
2 | Tyler Parsons (R) | 100.00 | 81 | 87 | 83 | 81 | 90 | 90 | 90 | 95 | 95 | 77 | 78 | 57 | 72 | 71 | 99 | 70 | 0 | 25 | 2 | 5,800,000$ | |
Rayé | |||||||||||||||||||||||
Équipe Mineure | |||||||||||||||||||||||
1 | Jaroslav Halak | 100.00 | 82 | 77 | 71 | 74 | 81 | 75 | 72 | 76 | 74 | 78 | 68 | 84 | 97 | 31 | 99 | 65 | 0 | 38 | 2 | 500,001$ | |
2 | Jeremy Swayman | 99.00 | 80 | 75 | 77 | 80 | 80 | 81 | 81 | 81 | 81 | 74 | 75 | 59 | 67 | 64 | 99 | 64 | 0 | 24 | 3 | 750,000$ | |
3 | Maxim Mayorov (R) | 100.00 | 75 | 72 | 79 | 82 | 73 | 78 | 78 | 73 | 73 | 75 | 73 | 33 | 38 | 69 | 99 | 58 | 0 | 19 | 3 | 650,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 82 | 86 | 83 | 84 | 92 | 95 | 95 | 97 | 97 | 80 | 81 | 71 | 81 | 57 | 99 | 73 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Jacques Lemaire | 86 | 93 | 95 | 88 | 99 | 99 | 36 | CAN | 77 | 5 | 1,000,000$ |
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 |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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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 |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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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 |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Type | Salaire actuel | Salaire restant | Plafond salarial Non Activé | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Non-échange Année 2 | Non-échange Année 3 | Non-échange Année 4 | Non-échange Année 5 | Non-échange Année 6 | Non-échange Année 7 | Non-échange Année 8 | Non-échange Année 9 | Non-échange Année 10 | Lien |
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Brett Howden | Philadelphia Flyers | C | 25 | 1989-09-07 20:47:10 | No | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro Only | 1,100,000$ | 1,021,429$ | 1,100,000$ | 1,021,429$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Colle Cassels | Philadelphia Flyers | C | 28 | 1986-10-20 09:56:59 | No | 195 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro Only | 1,500,000$ | 1,392,857$ | 1,500,000$ | 1,392,857$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Daniel Winnik | Philadelphia Flyers | C/LW/RW | 38 | 1976-08-06 14:38:02 | No | 216 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro Only | 6,116,900$ | 5,679,979$ | 6,116,900$ | 5,679,979$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Dmitri Jaskin | Philadelphia Flyers | LW/RW | 30 | 1984-10-14 12:58:29 | No | 211 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro Only | 1,000,000$ | 928,571$ | 1,000,000$ | 928,571$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Erik Karlsson | Philadelphia Flyers | D | 33 | 1981-08-06 20:38:02 | No | 183 Lbs | 5 ft11 | Yes | No | N/A | No | No | 7 | Pro Only | 5,900,000$ | 5,478,571$ | 5,900,000$ | 5,478,571$ | No | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | - | - | - | Yes | Yes | Yes | Yes | Yes | Yes | - | - | - | |||
Gilbert Brule | Philadelphia Flyers | C | 36 | 1978-08-07 02:38:02 | No | 191 Lbs | 5 ft10 | Yes | No | N/A | No | No | 2 | Pro Only | 501,000$ | 465,214$ | 501,000$ | 465,214$ | No | 501,000$ | - | - | - | - | - | - | - | - | Yes | - | - | - | - | - | - | - | - | |||
Jaden Schwartz | Philadelphia Flyers | C/LW | 31 | 1983-08-06 08:38:02 | No | 211 Lbs | 5 ft11 | Yes | No | N/A | No | No | 3 | Pro Only | 3,850,000$ | 3,575,000$ | 3,850,000$ | 3,575,000$ | No | 3,850,000$ | 3,850,000$ | - | - | - | - | - | - | - | Yes | Yes | - | - | - | - | - | - | - | |||
Jakub Kindl | Philadelphia Flyers | D | 36 | 1978-08-07 02:38:02 | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | Pro Only | 2,000,000$ | 1,857,143$ | 2,000,000$ | 1,857,143$ | No | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Jared Boll | Philadelphia Flyers | RW | 37 | 1977-08-06 20:38:02 | No | 204 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro Only | 7,000,000$ | 6,500,000$ | 7,000,000$ | 6,500,000$ | No | 7,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jesper Lindgren | Philadelphia Flyers | D | 27 | 1987-10-20 08:17:02 | No | 178 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro Only | 900,000$ | 835,714$ | 900,000$ | 835,714$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jonathan Dalhen | Philadelphia Flyers | C/LW | 25 | 1989-09-26 15:35:53 | Yes | 202 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro Only | 975,000$ | 905,357$ | 975,000$ | 905,357$ | No | 975,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Josh Brook | Philadelphia Flyers | D | 24 | 1990-09-19 10:49:44 | No | 200 Lbs | 6 ft4 | No | No | Trade | 2024-03-30 | No | No | 4 | Pro Only | 2,000,000$ | 1,857,143$ | 2,000,000$ | 1,857,143$ | No | 2,000,000$ | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Karl Henriksson | Philadelphia Flyers | C/LW | 22 | 1992-10-04 05:44:29 | No | 184 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro Only | 1,200,000$ | 1,114,286$ | 1,200,000$ | 1,114,286$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Keaton Ellerby | Philadelphia Flyers | D | 36 | 1978-08-07 02:38:02 | No | 199 Lbs | 6 ft4 | Yes | No | N/A | No | No | 3 | Pro Only | 2,000,000$ | 1,857,143$ | 2,000,000$ | 1,857,143$ | No | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | Yes | Yes | - | - | - | - | - | - | - | |||
Marco Rossi | Philadelphia Flyers | C | 21 | 1993-08-31 21:51:49 | Yes | 197 Lbs | 5 ft10 | No | No | N/A | No | No | 5 | Pro Only | 2,500,000$ | 2,321,429$ | 2,500,000$ | 2,321,429$ | No | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |||
Nathan Horton | Philadelphia Flyers | RW | 38 | 1976-08-06 14:38:02 | No | 237 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro Only | 6,200,000$ | 5,757,143$ | 6,200,000$ | 5,757,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Olli Juolevi | Philadelphia Flyers | D | 25 | 1989-09-26 15:13:02 | No | 206 Lbs | 6 ft7 | No | No | N/A | No | No | 2 | Pro Only | 1,450,000$ | 1,346,429$ | 1,450,000$ | 1,346,429$ | No | 1,450,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Oscar Moller | Philadelphia Flyers | C/RW | 34 | 1980-08-06 14:38:02 | No | 198 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | Pro Only | 5,200,000$ | 4,828,571$ | 5,200,000$ | 4,828,571$ | No | 5,200,000$ | 5,200,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Roman Josi | Philadelphia Flyers | D | 33 | 1981-08-06 20:38:02 | No | 202 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro Only | 700,000$ | 650,000$ | 700,000$ | 650,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Scott Kosmachuk | Philadelphia Flyers | RW | 29 | 1985-10-05 14:35:36 | No | 213 Lbs | 6 ft0 | No | No | Trade | 2024-01-13 | No | No | 2 | Pro Only | 1,800,000$ | 1,671,429$ | 1,800,000$ | 1,671,429$ | No | 1,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Thomas McCollum | Philadelphia Flyers | G | 35 | 1979-08-06 08:38:02 | No | 218 Lbs | 6 ft1 | No | No | N/A | No | No | 5 | Pro Only | 5,800,000$ | 5,385,714$ | 5,800,000$ | 5,385,714$ | No | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |||
Tyler Parsons | Philadelphia Flyers | G | 25 | 1989-09-19 10:11:30 | Yes | 210 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | Pro Only | 5,800,000$ | 5,385,714$ | 5,800,000$ | 5,385,714$ | No | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Zachary Jones | Philadelphia Flyers | D | 22 | 1992-10-04 04:22:45 | No | 191 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | Pro Only | 4,150,000$ | 3,853,571$ | 4,150,000$ | 3,853,571$ | No | 2,150,000$ | 2,150,000$ | 2,150,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
23 | 30.00 | 203 Lbs | 6 ft1 | 2.57 | 3,027,952$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
69,642,900$ | 45,426,000$ | 32,900,000$ | 18,350,000$ | 14,200,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Daniel Winnik | Oscar Moller | Nathan Horton | 29 | 1 | 2 | 2 |
2 | Jaden Schwartz | Marco Rossi | Jared Boll | 26 | 1 | 2 | 2 |
3 | Dmitri Jaskin | Gilbert Brule | Colle Cassels | 25 | 1 | 2 | 2 |
4 | Karl Henriksson | Brett Howden | Scott Kosmachuk | 20 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Erik Karlsson | Keaton Ellerby | 31 | 1 | 2 | 2 | |
2 | Zachary Jones | Jakub Kindl | 30 | 1 | 2 | 2 | |
3 | Josh Brook | Roman Josi | 28 | 1 | 2 | 2 | |
4 | Erik Karlsson | Keaton Ellerby | 11 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Daniel Winnik | Oscar Moller | Nathan Horton | 60 | 1 | 2 | 2 |
2 | Jaden Schwartz | Marco Rossi | Jared Boll | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Erik Karlsson | Jakub Kindl | 60 | 1 | 2 | 2 | |
2 | Zachary Jones | Roman Josi | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Brett Howden | Jaden Schwartz | 60 | 1 | 2 | 2 |
2 | Colle Cassels | Karl Henriksson | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Zachary Jones | Keaton Ellerby | 60 | 1 | 2 | 2 |
2 | Josh Brook | Jakub Kindl | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Brett Howden | 60 | 1 | 2 | 2 | Zachary Jones | Keaton Ellerby | 60 | 1 | 2 | 2 |
2 | Marco Rossi | 40 | 1 | 2 | 2 | Josh Brook | Jakub Kindl | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Marco Rossi | Daniel Winnik | 60 | 1 | 2 | 2 |
2 | Oscar Moller | Nathan Horton | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Erik Karlsson | Keaton Ellerby | 60 | 1 | 2 | 2 |
2 | Zachary Jones | Jakub Kindl | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Marco Rossi | Oscar Moller | Nathan Horton | Erik Karlsson | Roman Josi |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jaden Schwartz | Brett Howden | Colle Cassels | Keaton Ellerby | Jakub Kindl |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jared Boll, Daniel Winnik, Gilbert Brule | Oscar Moller, Nathan Horton | Jaden Schwartz |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jakub Kindl, Erik Karlsson, Roman Josi | Zachary Jones | Keaton Ellerby, Josh Brook |
Tirs de pénalité |
---|
Nathan Horton, Jared Boll, Oscar Moller, Jaden Schwartz, Dmitri Jaskin |
Gardien |
---|
#1 : Tyler Parsons, #2 : Thomas McCollum |
Lignes d’attaque personnalisées en prolongation |
---|
Nathan Horton, Jared Boll, Oscar Moller, Jaden Schwartz, Dmitri Jaskin , Brett Howden, Brett Howden, Marco Rossi, Gilbert Brule, Scott Kosmachuk, Karl Henriksson |
Lignes de défense personnalisées en prolongation |
---|
Jakub Kindl, Erik Karlsson, Zachary Jones, Keaton Ellerby, Roman Josi |
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 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|---|---|---|---|---|---|---|---|---|---|
2 | 5 | Toronto Maple Leafs | - | Philadelphia Flyers | - | |||||
4 | 13 | Toronto Maple Leafs | - | Philadelphia Flyers | - | |||||
6 | 21 | Philadelphia Flyers | - | Toronto Maple Leafs | - | |||||
8 | 29 | Philadelphia Flyers | - | Toronto Maple Leafs | - | |||||
10 | 37 | Toronto Maple Leafs | - | Philadelphia Flyers | - | |||||
12 | 45 | Philadelphia Flyers | - | Toronto Maple Leafs | - | |||||
14 | 53 | Toronto Maple Leafs | - | Philadelphia Flyers | - |
Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 5000 | 5000 | 5000 | 4000 | 1000 |
Prix des billets | 55 | 40 | 20 | 15 | 125 |
Assistance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
41 | 0 - 0% | 0$ | 0$ | 20000 | 90 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
0$ | 69,642,900$ | 61,942,900$ | 0$ | 250,000$ |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|---|
0$ | 0$ | 0$ | 23 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 13 | 0$ | 0$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
0$ | 25,857,707$ | 25,857,707$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
0$ | 85,000,000$ | 85,000,000$ | -55,000,000$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
---|---|---|---|---|---|---|
Callum Ritchie | Philadelphia Flyers | 2023 | 56 | |||
Gavin Brindley | Philadelphia Flyers | 2023 | 55 | |||
Koehn Ziemmer | Philadelphia Flyers | 2023 | 84 | |||
Matthew Savoie | Philadelphia Flyers | 2022 | 11 | |||
Nathan Gaucher | Philadelphia Flyers | 2022 | 38 | |||
Roman Kantserov | Philadelphia Flyers | 2023 | 77 |
Année | R1 | R2 | R3 | |
---|---|---|---|---|
2024 | PHI OTT | PHI STL OTT DET | ||
2025 | PHI | PHI | ||
2026 | PHI NYR | PHI | PHI | |
2027 | PHI | PHI | PHI | |
2028 | PHI | PHI | PHI | |
Choix au repêchage conditionnel |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|