Connexion

Philadelphia Flyers
GP: 51 | W: 25 | L: 20 | OTL: 6 | P: 56
GF: 152 | GA: 158 | PP%: 17.39% | PK%: 86.67%
DG: Interim | Morale : 99 | Moyenne d’équipe : 73
#737 vs Toronto Maple Leafs
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Philadelphia Flyers
25-20-6, 56pts
2
FINAL
4 Calgary Flames
24-23-5, 53pts
Team Stats
L3SéquenceW1
16-9-1Fiche domicile12-11-4
9-11-5Fiche visiteur12-12-1
3-6-1Derniers 10 matchs3-6-1
2.98Buts par match 3.10
3.10Buts contre par match 3.33
17.39%Pourcentage en avantage numérique16.67%
86.67%Pourcentage en désavantage numérique87.10%
St-Louis Blues
27-19-5, 59pts
6
FINAL
4 Philadelphia Flyers
25-20-6, 56pts
Team Stats
W5SéquenceL3
15-6-4Fiche domicile16-9-1
12-13-1Fiche visiteur9-11-5
8-2-0Derniers 10 matchs3-6-1
3.24Buts par match 2.98
3.08Buts contre par match 3.10
17.07%Pourcentage en avantage numérique17.39%
88.81%Pourcentage en désavantage numérique86.67%
Philadelphia Flyers
25-20-6, 56pts
Jour 126
Toronto Maple Leafs
24-23-5, 53pts
Statistiques d’équipe
L3SéquenceW1
16-9-1Fiche domicile12-10-3
9-11-5Fiche visiteur12-13-2
3-6-110 derniers matchs7-3-0
2.98Buts par match 3.00
3.10Buts contre par match 3.00
17.39%Pourcentage en avantage numérique8.06%
86.67%Pourcentage en désavantage numérique88.36%
Philadelphia Flyers
25-20-6, 56pts
Jour 128
Florida Panthers
24-21-8, 56pts
Statistiques d’équipe
L3SéquenceL1
16-9-1Fiche domicile12-10-4
9-11-5Fiche visiteur12-11-4
3-6-110 derniers matchs4-3-3
2.98Buts par match 3.02
3.10Buts contre par match 3.02
17.39%Pourcentage en avantage numérique10.53%
86.67%Pourcentage en désavantage numérique86.90%
Vegas Golden Knights
27-20-4, 58pts
Jour 130
Philadelphia Flyers
25-20-6, 56pts
Statistiques d’équipe
W1SéquenceL3
16-9-1Fiche domicile16-9-1
11-11-3Fiche visiteur9-11-5
7-3-010 derniers matchs3-6-1
3.35Buts par match 2.98
3.39Buts contre par match 2.98
15.20%Pourcentage en avantage numérique17.39%
79.59%Pourcentage en désavantage numérique86.67%
Meneurs d'équipe
Buts
Nathan Horton
26
Passes
Oscar Moller
32
Points
Nathan Horton
47
Plus/Moins
Marco Rossi
12
Victoires
Thomas McCollum
16
Pourcentage d’arrêts
Thomas McCollum
0.933

Statistiques d’équipe
Buts pour
152
2.98 GFG
Tirs pour
1999
39.20 Avg
Pourcentage en avantage numérique
17.4%
20 GF
Début de zone offensive
39.6%
Buts contre
158
3.10 GAA
Tirs contre
2041
40.02 Avg
Pourcentage en désavantage numérique
86.7%%
16 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur généralInterim
EntraîneurJacques Lemaire
DivisionEastern
ConférenceCircuit Jodoin
CapitaineNathan Horton
Assistant #1
Assistant #2


Informations de l’aréna

NomWells Fargo Center
Capacité20,000
Assistance18,909
Billets de saison8,000


Informations de la formation

Équipe Pro23
Équipe Mineure24
Limite contact 47 / 75
Espoirs6


Plafond salarial Non Activé

Cap Salarial de la Saison estimé69,392,900$
Plafond salarial disponible15,607,100$
Valeur du plafond salarial spécial250,000$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour23,897,432$
Dépenses annuelles à ce jour43,162,773$
Revenus de la saison estimés13,786,980$
Dépenses de la saison estimées23,996,245$
Compte bancaire actuel32,954,407$
Compte bancaire projeté25,825,182$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Nathan Horton (C)X100.0099875883818788998399998582999919998403816,200,000$
2Oscar MollerXX100.0048149986738283898587895873839622997503435,200,000$
3Jared BollX100.0099995385758279896685895875858432997503727,000,000$
4Marco Rossi (R)X100.0071328077738482908080787471547082997302152,500,000$
5Daniel WinnikXXX100.0089636787797678848683786264848528997303816,116,900$
6Gilbert BruleX100.0032698877382807886737567709999379971N0362501,000$
7Jaden SchwartzXX100.0038199897683837985757174727076409971N03133,850,000$
8Dmitri Jaskin XX100.0066308287778583805469746872807947997103011,000,000$
9Colle CasselsX100.0092576280747981748771717365738252997102831,500,000$
10Karl HenrikssonXX100.0067268082727074848078717168637370997002211,200,000$
11Brett HowdenX100.0080437377777880718766697871708472997002511,100,000$
12Jonathan Dalhen (R)XX100.008348718775757979866974687060496299690252975,000$
13Erik KarlssonX100.0031199857082829962999960758596309976N03375,900,000$
14Jack JohnsonX100.0099992388778080535549578162979943997403611,500,000$
15Jakub KindlX100.0036149884797874894690887065807941997403632,000,000$
16Zachary JonesX100.0068258585758282935787737163385961997302244,150,000$
17Jesper LindgrenX100.006325828871848382548274666060695199710271900,000$
18Keaton EllerbyX100.00633381887782804850494483559999269971N03632,000,000$
19Roman JosiX100.004613988976808383597184607580782399710331700,000$
20Olli JuoleviX100.0063208884798482705772687467567571997002521,450,000$
Rayé
1Scott KosmachukX100.0081507684767983754971756570807547997002921,800,000$
Équipe Mineure
1Joshua BaileyX100.0048159587748182668766637165969532996903521,499,999$
2Mike BrownXX100.0099995785778279726273735874787926996903821,200,000$
3Zachary Bolduc (R)X100.007329817273787881797474727454678299690202925,000$
4Tye McGinnX100.007035828778818357525559706597942499670331600,000$
5Reilly SmithXX100.00441298877483836653566870688291329967N0311850,000$
6Peyton Krebs (R)XX100.007437716772676780787569686955777599660222500,000$
7Barrett Hayton (R)XX100.007238727076636368766768696865758399650233500,000$
8Ryan McAllister (R)X100.007131777275686881737771657140475499650213925,000$
9Stephen Halliday (R)X100.007643716780656576757269666847506799640212650,000$
10Tyler Boucher (R)XX100.007438667276626262606370707051518899630203500,000$
11Tyson Foerster (R)X100.007339736775676769786569657045488099620212650,000$
12Jaromir Pytlik (R)X100.007137736578636662775863696540366599600221500,000$
13Owen Power (R)X100.007738807082808080637572737051729099700201925,000$
14Simon Edvinsson (R)X100.007937777781787968537167756654528599690201925,000$
15Carson Lambos (R)X100.007634827877818267537168796638527799690201925,000$
16Marco ScandellaX100.0056249587818583515747467559929327996803321,499,999$
17Jacob Moverare (R)X100.007941757679838363576956655570656099670242750,000$
18Tanner Molendyk (R)X100.006829797473737363637066786636418199660183925,000$
19Scott Morrow (R)X100.007037776776727272586973707129447499650202650,000$
20Artyom Duba (R)X100.006934767072707062586867716743497799640193650,000$
21Timothy Lijegren (R)X100.006633838777767757535363637063666999640242615,000$
MOYENNE D’ÉQUIPE100.00673779857581818069767670697681469973
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Thomas McCollum100.008284838793999999988284859042997603555,800,000$
2Tyler Parsons (R)100.008187838190909095957778577271997002525,800,000$
Rayé
Équipe Mineure
1Jeremy Swayman100.00807577808081818181747559676499640243750,000$
2Maxim Mayorov (R)100.00757279827378787373757333386999580193650,000$
3Jaroslav Halak100.00827771748175727674786884973199650382500,001$
MOYENNE D’ÉQUIPE100.0082868384929595979780817181579973
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jacques Lemaire86939588999936CAN7751,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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
1Nathan HortonPhiladelphia FlyersRW50262147-10440110562526014210.32%43102820.57819241100002434148.76%1213419000.9136000344
2Oscar MollerPhiladelphia FlyersC/RW511532470002873191571177.85%1797119.05077271120000152051.25%12783214000.9705000224
3Jared BollPhiladelphia FlyersRW39151833839156833154471019.74%2265716.8633612640000170040.82%49377001.0002111103
4Jaden SchwartzPhiladelphia FlyersC/LW51121830-100113315957697.55%2780815.840447560001911059.46%372717000.7411000123
5Daniel WinnikPhiladelphia FlyersC/LW/RW50161127-63158039149387510.74%3085717.163031758000064250.88%2832015000.6312001120
6Gilbert BrulePhiladelphia FlyersC51111425400144214835727.43%2381616.010224630000500050.77%5872317100.6102000011
7Zachary JonesPhiladelphia FlyersD5141721-10038528335364.82%5694518.531237104101251100%02825000.4400000100
8Jonathan DalhenPhiladelphia FlyersC/LW5181220-814049349928648.08%1155810.95000150001352148.00%751910000.7200000012
9Erik KarlssonPhiladelphia FlyersD4331417-9006419250433.26%4984019.55156885000021010%04023000.4003000002
10Roman JosiPhiladelphia FlyersD511151640012366431311.56%3481115.9202228000000100%01523000.3913000031
11Dmitri Jaskin Philadelphia FlyersLW/RW519716-16034329139449.89%1353710.5300000000002023.08%131712000.6000000004
12Marco RossiPhiladelphia FlyersC451051512140645910130549.90%3677917.312246630002193148.37%368916000.3902000032
13Colle CasselsPhiladelphia FlyersC487815-11100664761143011.48%2358112.111012330001361151.22%4511011100.5201000112
14Jakub KindlPhiladelphia FlyersD3821315-50010477230242.78%6177620.44134554011347000%02226000.3900000001
15Brett HowdenPhiladelphia FlyersC516814-5200726145132413.33%2667413.230000100004872150.49%406411000.4114000200
16Keaton EllerbyPhiladelphia FlyersD501121308031464212152.38%6885117.03000125000178000%0738000.3100000010
17Scott KosmachukPhiladelphia FlyersRW39268-6004217336236.06%1040810.4700005000000134.48%2965000.3900000000
18Karl HenrikssonPhiladelphia FlyersC/LW51178-910042287734531.30%1357111.200000170000100065.38%261813000.2800000000
19Jesper LindgrenPhiladelphia FlyersD51246-116018303214136.25%3558411.4600002000041010%0819000.2100000010
20Olli JuoleviPhiladelphia FlyersD51156120131720555.00%294649.11000126000078010%0511000.2600000000
21Jack JohnsonPhiladelphia FlyersD47066659568594916240%5579716.97000019000084000%0229000.1500001000
22Reilly SmithLehigh Valley Phantoms (PHI)LW/RW2022100011010%0147.230000000001000%000002.7700000000
23Joshua BaileyLehigh Valley Phantoms (PHI)C8022500326250%1779.6300000000000020.00%500000.5200000000
24Marco ScandellaLehigh Valley Phantoms (PHI)D10000-3000107030%5989.8400000000013000%00200000000000
Statistiques d’équipe totales ou en moyenne1030152257409-4526325879895202865310687.50%6871551215.06203151124100111217832231150.40%3728383363200.53731113122129
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Thomas McCollumPhiladelphia Flyers2916930.9332.70166941751112462310.7001028231110
2Tyler ParsonsPhiladelphia Flyers2591130.9193.1714180075925425030.682222328331
Statistiques d’équipe totales ou en moyenne54252060.9262.923087411502037887343251511441


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS 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 restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Brett HowdenPhiladelphia FlyersC251989-09-07 20:47:10No206 Lbs6 ft2NoNoN/ANoNo1Pro Only1,100,000$376,316$1,100,000$376,316$No------------------
Colle CasselsPhiladelphia FlyersC281986-10-20 09:56:59No195 Lbs6 ft0NoNoN/ANoNo3Pro Only1,500,000$513,158$1,500,000$513,158$No1,500,000$1,500,000$-------NoNo-------
Daniel WinnikPhiladelphia FlyersC/LW/RW381976-08-06 14:38:02No216 Lbs6 ft2NoNoN/ANoNo1Pro Only6,116,900$2,092,624$6,116,900$2,092,624$No------------------
Dmitri Jaskin Philadelphia FlyersLW/RW301984-10-14 12:58:29No211 Lbs6 ft3NoNoN/ANoNo1Pro Only1,000,000$342,105$1,000,000$342,105$No------------------
Erik KarlssonPhiladelphia FlyersD331981-08-06 20:38:02No183 Lbs5 ft11YesNoN/ANoNo7Pro Only5,900,000$2,018,421$5,900,000$2,018,421$No5,900,000$5,900,000$5,900,000$5,900,000$5,900,000$5,900,000$---YesYesYesYesYesYes---
Gilbert BrulePhiladelphia FlyersC361978-08-07 02:38:02No191 Lbs5 ft10YesNoN/ANoNo2Pro Only501,000$171,395$501,000$171,395$No501,000$--------Yes--------
Jack JohnsonPhiladelphia FlyersD361978-08-07 02:38:02No214 Lbs6 ft1NoNoN/ANoNo1Pro Only1,500,000$513,158$1,500,000$513,158$No------------------
Jaden SchwartzPhiladelphia FlyersC/LW311983-08-06 08:38:02No211 Lbs5 ft11YesNoN/ANoNo3Pro Only3,850,000$1,317,105$3,850,000$1,317,105$No3,850,000$3,850,000$-------YesYes-------
Jakub KindlPhiladelphia FlyersD361978-08-07 02:38:02No215 Lbs6 ft3NoNoN/ANoNo3Pro Only2,000,000$684,211$2,000,000$684,211$No2,000,000$2,000,000$-------NoNo-------
Jared BollPhiladelphia FlyersRW371977-08-06 20:38:02No204 Lbs6 ft2NoNoN/ANoNo2Pro Only7,000,000$2,394,737$7,000,000$2,394,737$No7,000,000$--------No--------
Jesper LindgrenPhiladelphia FlyersD271987-10-20 08:17:02No178 Lbs6 ft0NoNoN/ANoNo1Pro Only900,000$307,895$900,000$307,895$No------------------
Jonathan DalhenPhiladelphia FlyersC/LW251989-09-26 15:35:53Yes202 Lbs6 ft1NoNoN/ANoNo2Pro Only975,000$333,553$975,000$333,553$No975,000$--------No--------
Karl HenrikssonPhiladelphia FlyersC/LW221992-10-04 05:44:29No184 Lbs6 ft0NoNoN/ANoNo1Pro Only1,200,000$410,526$1,200,000$410,526$No------------------
Keaton EllerbyPhiladelphia FlyersD361978-08-07 02:38:02No199 Lbs6 ft4YesNoN/ANoNo3Pro Only2,000,000$684,211$2,000,000$684,211$No2,000,000$2,000,000$-------YesYes-------
Marco RossiPhiladelphia FlyersC211993-08-31 21:51:49Yes197 Lbs5 ft10NoNoN/ANoNo5Pro Only2,500,000$855,263$2,500,000$855,263$No2,500,000$2,500,000$2,500,000$2,500,000$-----NoNoNoNo-----
Nathan HortonPhiladelphia FlyersRW381976-08-06 14:38:02No237 Lbs6 ft2NoNoN/ANoNo1Pro Only6,200,000$2,121,053$6,200,000$2,121,053$No------------------
Olli JuoleviPhiladelphia FlyersD251989-09-26 15:13:02No206 Lbs6 ft7NoNoN/ANoNo2Pro Only1,450,000$496,053$1,450,000$496,053$No1,450,000$--------No--------
Oscar MollerPhiladelphia FlyersC/RW341980-08-06 14:38:02No198 Lbs5 ft10NoNoN/ANoNo3Pro Only5,200,000$1,778,947$5,200,000$1,778,947$No5,200,000$5,200,000$-------NoNo-------
Roman JosiPhiladelphia FlyersD331981-08-06 20:38:02No202 Lbs6 ft1NoNoN/ANoNo1Pro Only700,000$239,474$700,000$239,474$No------------------
Scott KosmachukPhiladelphia FlyersRW291985-10-05 14:35:36No213 Lbs6 ft0NoNoTrade2024-01-13NoNo2Pro Only1,800,000$615,789$1,800,000$615,789$No1,800,000$--------No--------
Thomas McCollumPhiladelphia FlyersG351979-08-06 08:38:02No218 Lbs6 ft1NoNoN/ANoNo5Pro Only5,800,000$1,984,211$5,800,000$1,984,211$No5,800,000$5,800,000$5,800,000$5,800,000$-----NoNoNoNo-----
Tyler ParsonsPhiladelphia FlyersG251989-09-19 10:11:30Yes210 Lbs6 ft4NoNoN/ANoNo2Pro Only5,800,000$1,984,211$5,800,000$1,984,211$No800,000$--------No--------
Zachary JonesPhiladelphia FlyersD221992-10-04 04:22:45No191 Lbs6 ft3NoNoN/ANoNo4Pro Only4,150,000$1,419,737$4,150,000$1,419,737$No2,150,000$2,150,000$2,150,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.52204 Lbs6 ft12.433,006,213$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
69,142,900$43,426,000$30,900,000$16,350,000$14,200,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaden SchwartzOscar MollerNathan Horton26113
2Daniel WinnikMarco RossiJared Boll26113
3Karl HenrikssonColle CasselsJonathan Dalhen26122
4Gilbert BruleBrett HowdenDmitri Jaskin 22122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonZachary Jones26122
2Jesper LindgrenJakub Kindl26122
3Roman JosiKeaton Ellerby26122
4Olli JuoleviJack Johnson22122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marco RossiOscar MollerNathan Horton60122
2Daniel WinnikColle CasselsJared Boll40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonZachary Jones60122
2Roman JosiJakub Kindl40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett HowdenJaden Schwartz60122
2Colle CasselsKarl Henriksson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack JohnsonKeaton Ellerby60122
2Olli JuoleviJakub Kindl40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Howden60122Jack JohnsonKeaton Ellerby60122
2Karl Henriksson40122Olli JuoleviJakub Kindl40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gilbert BruleBrett Howden60122
2Oscar MollerNathan Horton40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik KarlssonJesper Lindgren60122
2Zachary JonesOlli Juolevi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marco RossiOscar MollerNathan HortonErik KarlssonZachary Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaden SchwartzBrett HowdenColle CasselsKeaton EllerbyJack Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jared Boll, Daniel Winnik, Gilbert BruleOscar Moller, Nathan HortonJaden Schwartz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Roman Josi, Jesper Lindgren, Olli JuoleviZachary JonesJack Johnson, Keaton Ellerby
Tirs de pénalité
Nathan Horton, Jared Boll, Erik Karlsson, Roman Josi, Oscar Moller
Gardien
#1 : Thomas McCollum, #2 : Tyler Parsons
Lignes d’attaque personnalisées en prolongation
Nathan Horton, Oscar Moller, Jared Boll, Marco Rossi, Colle Cassels, Gilbert Brule, Gilbert Brule, Jaden Schwartz, Dmitri Jaskin , Jonathan Dalhen, Karl Henriksson
Lignes de défense personnalisées en prolongation
Erik Karlsson, Zachary Jones, Jack Johnson, Jakub Kindl, Roman Josi


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
1Anaheim Ducks2110000034-1110000002111010000013-220.5003580002106221182308021629500.00%30100.00%0739145350.86%725145149.97%40876353.47%422342173518
2Boston Bruins20101000510-5100010004311010000017-620.500591400211172312020181241226300.00%60100.00%0739145350.86%725145149.97%40876353.47%432543173316
3Buffalo Sabres2010000158-31010000035-21000000123-110.250591410122289382623989301039100.00%50100.00%0739145350.86%725145149.97%40876353.47%483043163216
4Calgary Flames2110000078-1110000005411010000024-220.500781510034078192633075201141500.00%3166.67%0739145350.86%725145149.97%40876353.47%422644163216
5Carolina Hurricanes21100000972110000006241010000035-220.5009182700423094332833071341740200.00%6266.67%0739145350.86%725145149.97%40876353.47%452841163316
6Chicago Blackhawks220000001257110000006241100000063341.000121931004170893823280772719246233.33%70100.00%0739145350.86%725145149.97%40876353.47%432642173416
7Colorado Avalanche21000001440110000002111000000123-130.75046100022017021271910871910375120.00%50100.00%0739145350.86%725145149.97%40876353.47%412447193618
8Dallas Stars2110000057-21010000025-31100000032120.5005101500311071162530079238326233.33%4175.00%0739145350.86%725145149.97%40876353.47%402245183417
9Detroit Red Wings2010001045-1100000102111010000024-220.50045910210174202329482311233500.00%6266.67%0739145350.86%725145149.97%40876353.47%422447183417
10Edmonton Oilers21100000660110000003121010000035-220.500610161022207728242507424223500.00%10100.00%0739145350.86%725145149.97%40876353.47%472939153217
11Florida Panthers11000000202110000002020000000000021.000246012000371810903614214200.00%10100.00%0739145350.86%725145149.97%40876353.47%1911238178
12Los Angeles Kings21000010945100000104311100000051441.00091423002331923933171178248364125.00%4175.00%0739145350.86%725145149.97%40876353.47%442946163316
13Minnesota Wild2010010049-51010000026-41000010023-110.25045900310079322621080406306116.67%30100.00%0739145350.86%725145149.97%40876353.47%432743183316
14Montreal Canadiens2020000035-21010000012-11010000023-100.00033600111083352622079324354125.00%20100.00%0739145350.86%725145149.97%40876353.47%432643153317
15New Jersey Devils21001000963110000005321000100043141.0009152400134192312931183294357342.86%2150.00%0739145350.86%725145149.97%40876353.47%463042153015
16New York Islanders2000010157-21000010034-11000000123-120.500571200230171321719683446416116.67%3166.67%0739145350.86%725145149.97%40876353.47%432446183619
17New York Rangers21000001660110000003211000000134-130.7506121800213182173726688231439400.00%7185.71%0739145350.86%725145149.97%40876353.47%432545183517
18Ottawa Senators2020000048-41010000013-21010000035-200.0004610004000763025210802517294125.00%60100.00%0739145350.86%725145149.97%40876353.47%432645163115
19Pittsburgh Penguins20200000410-61010000023-11010000027-500.0004812003100822837170813519225120.00%7185.71%0739145350.86%725145149.97%40876353.47%432644163215
20San Jose Sharks22000000945110000006331100000031241.000916250043208232282208923631100.00%3166.67%0739145350.86%725145149.97%40876353.47%402448163115
21St-Louis Blues20200000610-41010000046-21010000024-200.0006111700150079233818078341040600.00%5180.00%0739145350.86%725145149.97%40876353.47%462841163216
22Tampa Bay Lightning2110000046-21010000014-31100000032120.5004711002200743221210781814305120.00%7185.71%0739145350.86%725145149.97%40876353.47%412443183516
23Toronto Maple Leafs1010000013-21010000013-20000000000000.0001230001003112127040118172150.00%4175.00%0739145350.86%725145149.97%40876353.47%2012228178
24Vancouver Canucks220000001055110000006331100000042241.000101727004330762024320771714316233.33%60100.00%0739145350.86%725145149.97%40876353.47%402446173215
25Vegas Golden Knights1010000014-3000000000001010000014-300.000123000010351381404611020100.00%000%0739145350.86%725145149.97%40876353.47%1810248178
26Washington Capitals22000000945110000004131100000053241.0009142300333074272720068261228400.00%6183.33%1739145350.86%725145149.97%40876353.47%392446183315
27Winnipeg Jets22000000633110000003211100000031241.00061016001230783218280821916425240.00%80100.00%0739145350.86%725145149.97%40876353.47%422543173416
Total51212002224152158-6261390112083731025811011046985-16560.54915225240441554944919997186566084820416782678441152017.39%1201686.67%1739145350.86%725145149.97%40876353.47%11006641134438858427
_Since Last GM Reset51212002224152158-6261390112083731025811011046985-16560.54915225240441554944919997186566084820416782678441152017.39%1201686.67%1739145350.86%725145149.97%40876353.47%11006641134438858427
_Vs Conference51212002224152158-6261390112083731025811011046985-16560.54915225240441554944919997186566084820416782678441152017.39%1201686.67%1739145350.86%725145149.97%40876353.47%11006641134438858427
_Vs Division26712021137085-15145601110383621226010033249-17240.46270119189212921177103138433829827103937615142854916.67%681183.82%1739145350.86%725145149.97%40876353.47%565340579222435217

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5156L31522524041999204167826784441
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5121202224152158
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2613911208373
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2581111046985
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1152017.39%1201686.67%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
718656608485549449
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
739145350.86%725145149.97%40876353.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11006641134438858427


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
19New York Rangers2Philadelphia Flyers3BWSommaire du match
428Washington Capitals1Philadelphia Flyers4BWSommaire du match
639Philadelphia Flyers3Carolina Hurricanes5ALSommaire du match
746Philadelphia Flyers2New York Islanders3ALXXSommaire du match
1171Philadelphia Flyers3Dallas Stars2AWSommaire du match
1489Philadelphia Flyers3New York Rangers4ALXXSommaire du match
1594Ottawa Senators3Philadelphia Flyers1BLSommaire du match
17107Pittsburgh Penguins3Philadelphia Flyers2BLSommaire du match
19119San Jose Sharks3Philadelphia Flyers6BWSommaire du match
22132Philadelphia Flyers4New Jersey Devils3AWXSommaire du match
23135Buffalo Sabres5Philadelphia Flyers3BLSommaire du match
27160Boston Bruins3Philadelphia Flyers4BWXSommaire du match
28169Philadelphia Flyers1Vegas Golden Knights4ALSommaire du match
35208Philadelphia Flyers1Boston Bruins7ALSommaire du match
36213Philadelphia Flyers1Anaheim Ducks3ALSommaire du match
39231Philadelphia Flyers2Colorado Avalanche3ALXXSommaire du match
42249Dallas Stars5Philadelphia Flyers2BLSommaire du match
45267Los Angeles Kings3Philadelphia Flyers4BWXXSommaire du match
48284Chicago Blackhawks2Philadelphia Flyers6BWSommaire du match
51303Minnesota Wild6Philadelphia Flyers2BLSommaire du match
53316Philadelphia Flyers3San Jose Sharks1AWSommaire du match
54320Vancouver Canucks3Philadelphia Flyers6BWSommaire du match
57339Florida Panthers0Philadelphia Flyers2BWSommaire du match
61361Philadelphia Flyers5Los Angeles Kings1AWSommaire du match
62366Philadelphia Flyers2Detroit Red Wings4ALSommaire du match
64380Philadelphia Flyers3Winnipeg Jets1AWSommaire du match
66391Anaheim Ducks1Philadelphia Flyers2BWSommaire du match
69407Edmonton Oilers1Philadelphia Flyers3BWSommaire du match
71417Montreal Canadiens2Philadelphia Flyers1BLSommaire du match
73430Philadelphia Flyers2Minnesota Wild3ALXSommaire du match
76447Carolina Hurricanes2Philadelphia Flyers6BWSommaire du match
78460Philadelphia Flyers2Montreal Canadiens3ALSommaire du match
81478Philadelphia Flyers2Pittsburgh Penguins7ALSommaire du match
82483Philadelphia Flyers5Washington Capitals3AWSommaire du match
84494Philadelphia Flyers2Buffalo Sabres3ALXXSommaire du match
88519Colorado Avalanche1Philadelphia Flyers2BWSommaire du match
91536Philadelphia Flyers3Tampa Bay Lightning2AWSommaire du match
92540Philadelphia Flyers6Chicago Blackhawks3AWSommaire du match
94551Winnipeg Jets2Philadelphia Flyers3BWSommaire du match
96564Philadelphia Flyers3Edmonton Oilers5ALSommaire du match
99581New Jersey Devils3Philadelphia Flyers5BWSommaire du match
102599Toronto Maple Leafs3Philadelphia Flyers1BLSommaire du match
104609Tampa Bay Lightning4Philadelphia Flyers1BLSommaire du match
106621Detroit Red Wings1Philadelphia Flyers2BWXXSommaire du match
108629Philadelphia Flyers4Vancouver Canucks2AWSommaire du match
110644Philadelphia Flyers2St-Louis Blues4ALSommaire du match
114668New York Islanders4Philadelphia Flyers3BLXSommaire du match
118693Calgary Flames4Philadelphia Flyers5BWSommaire du match
120702Philadelphia Flyers3Ottawa Senators5ALSommaire du match
121709Philadelphia Flyers2Calgary Flames4ALSommaire du match
123718St-Louis Blues6Philadelphia Flyers4BLSommaire du match
126737Philadelphia Flyers-Toronto Maple Leafs-
128748Philadelphia Flyers-Florida Panthers-
130753Vegas Golden Knights-Philadelphia Flyers-
131764Philadelphia Flyers-New York Islanders-
134780Philadelphia Flyers-Minnesota Wild-
136793Philadelphia Flyers-Florida Panthers-
138808Montreal Canadiens-Philadelphia Flyers-
141827New Jersey Devils-Philadelphia Flyers-
142832Chicago Blackhawks-Philadelphia Flyers-
146854Carolina Hurricanes-Philadelphia Flyers-
148870Philadelphia Flyers-St-Louis Blues-
150883Philadelphia Flyers-Los Angeles Kings-
151890Philadelphia Flyers-Toronto Maple Leafs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154906Colorado Avalanche-Philadelphia Flyers-
155915Philadelphia Flyers-Ottawa Senators-
158932Philadelphia Flyers-Boston Bruins-
160947Philadelphia Flyers-Vegas Golden Knights-
162959Dallas Stars-Philadelphia Flyers-
164972Vancouver Canucks-Philadelphia Flyers-
166986New York Rangers-Philadelphia Flyers-
168995Calgary Flames-Philadelphia Flyers-
1701008Tampa Bay Lightning-Philadelphia Flyers-
1711014Anaheim Ducks-Philadelphia Flyers-
1741041Philadelphia Flyers-San Jose Sharks-
1771054Philadelphia Flyers-Winnipeg Jets-
1791070Edmonton Oilers-Philadelphia Flyers-
1801079Pittsburgh Penguins-Philadelphia Flyers-
1831100Philadelphia Flyers-Washington Capitals-
1851106Buffalo Sabres-Philadelphia Flyers-
1871123Philadelphia Flyers-Detroit Red Wings-
1901146Philadelphia Flyers-Pittsburgh Penguins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité50005000500040001000
Prix des billets50351510120
Assistance120,751120,158125,799100,76024,174
Attendance PCT92.89%92.43%96.77%96.88%92.98%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 18909 - 94.55% 919,132$23,897,432$2000090

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
43,162,773$ 69,142,900$ 60,942,900$ 0$ 250,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
69,142,900$ 42,504,872$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
13,786,980$ 65 369,173$ 23,996,245$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
25,386,205$ 32,954,407$ 25,825,182$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
69,392,900$ 15,607,100$ 85,000,000$ 14,392,900$



Charte de profondeur

Ailier gaucheCentreAilier droit
Daniel WinnikAGE:38PO:28OV:73
Dmitri Jaskin AGE:30PO:47OV:71
Jaden SchwartzAGE:31PO:40OV:71
Karl HenrikssonAGE:22PO:70OV:70
Jonathan Dalhen (R)AGE:25PO:62OV:69
Mike BrownAGE:38PO:26OV:69
Reilly SmithAGE:31PO:32OV:67
Tye McGinnAGE:33PO:24OV:67
Peyton Krebs (R)AGE:22PO:75OV:66
Barrett Hayton (R)AGE:23PO:83OV:65
Tyler Boucher (R)AGE:20PO:88OV:63
Oscar MollerAGE:34PO:22OV:75
Marco Rossi (R)AGE:21PO:82OV:73
Daniel WinnikAGE:38PO:28OV:73
Colle CasselsAGE:28PO:52OV:71
Jaden SchwartzAGE:31PO:40OV:71
Gilbert BruleAGE:36PO:37OV:71
Brett HowdenAGE:25PO:72OV:70
Karl HenrikssonAGE:22PO:70OV:70
Zachary Bolduc (R)AGE:20PO:82OV:69
Jonathan Dalhen (R)AGE:25PO:62OV:69
Joshua BaileyAGE:35PO:32OV:69
Peyton Krebs (R)AGE:22PO:75OV:66
Barrett Hayton (R)AGE:23PO:83OV:65
Ryan McAllister (R)AGE:21PO:54OV:65
Stephen Halliday (R)AGE:21PO:67OV:64
Tyson Foerster (R)AGE:21PO:80OV:62
Jaromir Pytlik (R)AGE:22PO:65OV:60
Nathan HortonAGE:38PO:19OV:84
Jared BollAGE:37PO:32OV:75
Oscar MollerAGE:34PO:22OV:75
Daniel WinnikAGE:38PO:28OV:73
Dmitri Jaskin AGE:30PO:47OV:71
Scott KosmachukAGE:29PO:47OV:70
Mike BrownAGE:38PO:26OV:69
Reilly SmithAGE:31PO:32OV:67
Tyler Boucher (R)AGE:20PO:88OV:63

Défense #1Défense #2Gardien
Erik KarlssonAGE:33PO:30OV:76
Jack JohnsonAGE:36PO:43OV:74
Jakub KindlAGE:36PO:41OV:74
Zachary JonesAGE:22PO:61OV:73
Jesper LindgrenAGE:27PO:51OV:71
Keaton EllerbyAGE:36PO:26OV:71
Roman JosiAGE:33PO:23OV:71
Owen Power (R)AGE:20PO:90OV:70
Olli JuoleviAGE:25PO:71OV:70
Simon Edvinsson (R)AGE:20PO:85OV:69
Carson Lambos (R)AGE:20PO:77OV:69
Marco ScandellaAGE:33PO:27OV:68
Jacob Moverare (R)AGE:24PO:60OV:67
Tanner Molendyk (R)AGE:18PO:81OV:66
Scott Morrow (R)AGE:20PO:74OV:65
Artyom Duba (R)AGE:19PO:77OV:64
Timothy Lijegren (R)AGE:24PO:69OV:64
Thomas McCollumAGE:35PO:42OV:76
Tyler Parsons (R)AGE:25PO:71OV:70
Jaroslav HalakAGE:38PO:31OV:65
Jeremy SwaymanAGE:24PO:64OV:64
Maxim Mayorov (R)AGE:19PO:69OV:58

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Callum RitchiePhiladelphia Flyers202356
Gavin BrindleyPhiladelphia Flyers202355
Koehn ZiemmerPhiladelphia Flyers202384
Matthew SavoiePhiladelphia Flyers202211
Nathan GaucherPhiladelphia Flyers202238
Roman KantserovPhiladelphia Flyers202377

Choix au repêchage

Année R1R2R3
2024PHI OTT PHI STL OTT
2025PHI PHI
2026PHI NYR PHI PHI BUF
2027PHI PHI PHI
2028PHI PHI PHI
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Philadelphia Flyers Historique de transactions

[2024-02-24 15:59:12] - General Manager Change : Philadelphia Flyers hired general manager Interim
[2024-02-24 15:59:12] - General Manager Change : Philadelphia Flyers fired general manager Alex Dion
[2024-02-20 22:29:29] - New Record for Team's Most Shots Blocked (27) in 1 Game for Philadelphia Flyers!
[2024-01-13 23:10:43] - TRADE : From Philadelphia Flyers to Carolina Hurricanes : $250,000 (Salary Cap Year 1).
[2024-01-13 23:10:43] - TRADE : From Carolina Hurricanes to Philadelphia Flyers : Scott Kosmachuk (70).
[2023-08-31 13:21:16] - TRADE : From Philadelphia Flyers to Buffalo Sabres : Gabriel Carlsson (66).
[2023-08-31 13:21:16] - TRADE : From Buffalo Sabres to Philadelphia Flyers : Y:2026-RND:3-BUF.
[2023-08-31 13:17:49] - TRADE : From Philadelphia Flyers to New York Rangers : Pierre-Olivier Joseph (70).
[2023-08-31 13:17:49] - TRADE : From New York Rangers to Philadelphia Flyers : Y:2026-RND:1-NYR.
[2023-08-19 18:32:16] - Ryan McAllister was added to Philadelphia Flyers.
[2023-08-19 18:31:21] - Tanner Molendyk was added to Philadelphia Flyers.
[2023-08-19 17:40:17] - Philadelphia Flyers drafts Koehn Ziemmer as the #84 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:39:35] - Philadelphia Flyers drafts Roman Kantserov as the #77 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:35:07] - Philadelphia Flyers drafts Callum Ritchie as the #56 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:35:02] - Philadelphia Flyers drafts Gavin Brindley as the #55 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:30:34] - Philadelphia Flyers drafts Ryan McAllister as the #28 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:29:54] - Philadelphia Flyers drafts Tanner Molendyk as the #22 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:17:03] - TRADE : From Philadelphia Flyers to Ottawa Senators : Y:2024-RND:2-NJD.
[2023-08-19 17:17:03] - TRADE : From Ottawa Senators to Philadelphia Flyers : Y:2023-RND:2-VAN.
[2023-08-17 16:39:00] - Brady Tkachuk was released.
[2023-08-17 16:39:00] - Philadelphia Flyers paid 0 $ to release Brady Tkachuk.
[2023-08-17 16:38:55] - Tyler Benson was released.
[2023-08-17 16:38:55] - Philadelphia Flyers paid 0 $ to release Tyler Benson.
[2023-08-17 16:38:45] - Rudolf Balcers was released.
[2023-08-17 16:38:45] - Philadelphia Flyers paid 0 $ to release Rudolf Balcers.



[2024-02-28 19:43:09] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-02-26 14:22:16] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-02-24 15:59:45] Philadelphia Flyers Email Address was changed to jenpde@hotmail.com.
[2024-02-20 22:29:29] Farm Game #668 - Tyler Boucher from Lehigh Valley Phantoms has scored a Hat Trick!
[2024-02-20 22:29:29] New Record for Team's Most Shots Blocked (27) in 1 Game for Philadelphia Flyers!
[2024-02-19 01:05:18] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-02-15 23:59:10] Auto Lines Partial Function has been run for Lehigh Valley Phantoms.
[2024-02-15 23:58:51] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2024-02-15 23:58:31] Owen Power of Philadelphia Flyers was sent down to farm.
[2024-02-15 23:58:30] Marco Scandella of Philadelphia Flyers was sent down to farm.
[2024-02-15 23:58:29] Jaroslav Halak of Philadelphia Flyers was sent to farm.
[2024-02-15 23:58:16] Philadelphia Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-02-15 23:58:14] Maximum Pro Players Limit Reached for Philadelphia Flyers!
[2024-02-15 23:58:01] Philadelphia Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-02-15 23:58:01] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2024-02-15 23:58:01] Jaroslav Halak of Philadelphia Flyers was sent to pro.
[2024-02-15 23:58:01] Owen Power of Philadelphia Flyers was sent to pro.
[2024-02-15 23:58:01] Philadelphia Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-02-14 22:53:51] Maximum Pro Players Limit Reached for Philadelphia Flyers!
[2024-02-14 22:53:11] Maximum Pro Players Limit Reached for Philadelphia Flyers!
[2024-02-14 22:52:42] Maximum Pro Players Limit Reached for Philadelphia Flyers!
[2024-02-14 22:52:36] Jakub Kindl from Philadelphia Flyers is back from Facial Surgery Injury.
[2024-02-14 22:48:22] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-02-12 23:01:42] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0



Pas de blessure ou de suspension.


Philadelphia Flyers Leaders statistiques des joueurs (saison régulière)

# 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

Philadelphia Flyers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Philadelphia Flyers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Philadelphia Flyers Leaders statistiques des joueurs (séries éliminatoires)

# 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

Philadelphia Flyers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA