Please rotate your device to landscape mode for a better experience.
Connexion

Philadelphia Flyers
GP: 21 | W: 10 | L: 9 | OTL: 2 | P: 31
GF: 59 | GA: 58 | PP%: 21.62% | PK%: 83.10%
DG: Brad | Morale : 40 | Moyenne d’équipe : 75
Prochains matchs #296 vs New Jersey Devils

Centre de jeu
Philadelphia Flyers
10-9-2, 31pts
2
1 Florida Panthers
10-9-1, 30pts
Team Stats
L1SéquenceL1
5-4-1Fiche domicile6-5-0
5-5-1Fiche visiteur4-4-1
6-3-1Derniers 10 matchs6-3-1
2.81Buts par match 2.60
2.76Buts contre par match 2.55
21.62%Pourcentage en avantage numérique19.35%
83.10%Pourcentage en désavantage numérique82.19%
Philadelphia Flyers
10-9-2, 31pts
3
4 Boston Bruins
13-7-1, 39pts
Team Stats
L1SéquenceW1
5-4-1Fiche domicile6-5-0
5-5-1Fiche visiteur7-2-1
6-3-1Derniers 10 matchs7-2-1
2.81Buts par match 2.90
2.76Buts contre par match 2.52
21.62%Pourcentage en avantage numérique19.51%
83.10%Pourcentage en désavantage numérique83.64%
New Jersey Devils
10-7-3, 32pts
Jour 55
Philadelphia Flyers
10-9-2, 31pts
Statistiques d’équipe
OTL1SéquenceL1
5-4-2Fiche domicile5-4-1
5-3-1Fiche visiteur5-5-1
5-3-210 derniers matchs6-3-1
2.60Buts par match 2.81
2.45Buts contre par match 2.81
11.11%Pourcentage en avantage numérique21.62%
85.14%Pourcentage en désavantage numérique83.10%
Philadelphia Flyers
10-9-2, 31pts
Jour 59
Edmonton Oilers
10-6-4, 32pts
Statistiques d’équipe
L1SéquenceL2
5-4-1Fiche domicile5-3-2
5-5-1Fiche visiteur5-3-2
6-3-110 derniers matchs6-2-2
2.81Buts par match 2.95
2.76Buts contre par match 2.95
21.62%Pourcentage en avantage numérique20.78%
83.10%Pourcentage en désavantage numérique86.67%
Seattle Kraken
7-12-1, 21pts
Jour 62
Philadelphia Flyers
10-9-2, 31pts
Statistiques d’équipe
W2SéquenceL1
4-5-0Fiche domicile5-4-1
3-7-1Fiche visiteur5-5-1
5-5-010 derniers matchs6-3-1
2.35Buts par match 2.81
3.10Buts contre par match 2.81
8.33%Pourcentage en avantage numérique21.62%
82.98%Pourcentage en désavantage numérique83.10%
Meneurs d'équipe
Buts
Connor McDavid
10
Passes
Connor McDavid
12
Points
Connor McDavid
22
Plus/Moins
Brett Connolly
3
Victoires
Ville Husso
7
Pourcentage d’arrêts
Ville Husso
0.92

Statistiques d’équipe
Buts pour
59
2.81 GFG
Tirs pour
648
30.86 Avg
Pourcentage en avantage numérique
21.6%
16 GF
Début de zone offensive
39.3%
Buts contre
58
2.76 GAA
Tirs contre
664
31.62 Avg
Pourcentage en désavantage numérique
83.1%%
12 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralBrad
DivisionNortheast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomWells Fargo Center
Capacité18,000
Assistance14,484
Billets de saison7,740


Informations de la formation

Équipe Pro21
Équipe Mineure26
Limite contact 47 / 250
Espoirs59


Finance

Revenu annuel à ce jour10,566,873$
Dépenses annuelles à ce jour18,794,797$
Revenus de la saison estimés31,700,619$
Dépenses de la saison estimées49,603,552$
Compte bancaire actuel143,036,323$
Compte bancaire projeté126,204,669$


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
1Connor McDavid0X98.0080498792769799939995907988778255408402815,333,333$
2Elias Pettersson0X98.00644292997294979092909074867377404082N02636,650,000$
3Brock Boeser0X99.0074498493729191856790907086778055408002818,280,333$
4Brendan Gallagher0X100.0085448290509294816779917180816655407703312,950,000$
5Jeff Skinner0X100.0081468387649088827281867176816755407703324,100,000$
6Michael Rasmussen0X100.0093537977998786748278757272737455407502631,850,000$
7Vinnie Hinostroza0X100.0074358387538484737077706974806455407203112,900,000$
8Andrei Loktionov0X100.0057438683558284747875736171847655407103521,800,000$
9Evgenii Dadonov0X100.0085407779568383696076776472847755407103613,650,500$
10Brett Connolly0X100.0089507574738577706370707072816455407003311,100,000$
11Jake Leschyshyn0X100.007848807570798766786867746877775540700264800,000$
12Nicklas Backstrom0X100.006446726671828174667270616986805540690371875,000$
13Haydn Fleury0X98.0075528884858383835089708170778355407802821,950,000$
14Nikita Zaitsev0X100.0090467979848989745076637963818255407703321,750,000$
15Jakub Zboril0X100.0082468482808282775278667766778255407602821,935,000$
16Dmitry Kulikov0X100.0079488479829091715075627769817455407503413,005,000$
17Jake Bean0X100.0060388591787979815080677971727655407502732,000,000$
18Colin Miller0X100.0076497676828288745077667365807355407303212,500,000$
Rayé
1Nick Leddy0X100.0053469083818689675071647567828155407303421,850,000$
Équipe Mineure
1Gaetan Haas0X99.007544688265777668737171667381695540690332850,000$
2Nathan Bastian0X100.009256657592747262746466716874745540690271600,000$
3Stephane Da Costa0X98.006537798056777768757369637384765540690351955,000$
4JAAKKO RISSANEN0X100.005138697371606074707566697084935240680351500,500$
5JONATHAN ANG0X100.005329608760606071707472647572725240680271300,000$
6BRIAN O'NEILL0X100.005233707857606069767266676988945240670371250,000$
7LUKAS ELVENES0X100.005333588667606072697962607169695240670251350,000$
8Michael Frolik0X100.005341757371767666646968596786765540670371500,000$
9VILJAMI MARJALA0X100.005433738767606073647863637262625240670221275,000$
10Yanni Gourde0X99.006039738546807765706769657281655540670331900,000$
11Ryan Winterton (R)0X99.006046807883707860546062736563685540660212800,000$
12Tim Gettinger0X100.007354776290687360686063726174725540650272600,000$
13Isaak Phillips (R)0X99.007858837789778569507264716468815540720231500,000$
14Justin Holl0X100.005546837986788371507067756581805540720331950,000$
15Cale Fleury0X99.007552837288748067526462726073835540710264624,000$
16Samuel Bolduc (R)0X100.007156827096758067506665716170815540710241600,000$
17ATRO LEPPANEN0X99.465543788974606072487971687171815240700261510,000$
18Raphael Diaz0X100.0054428769687575655769596560908055406703911,000,000$
19Lance Bouma0X100.0081487666788182677171696369847555406903511,150,000$
20Michael Pezzetta0X100.009768556379727760676362666176725540650272950,000$
21Riley Tufte0X100.005657706297697460706263736274715540650273500,000$
22LINUS HULTSTROM0X89.475445787768606071487968676778875240680321250,000$
23Connor Mackey0X100.0065504079786969675069636562756655406702811,667,000$
24Guillaume Brisebois0X100.005539858752696863506361676374655540660273500,000$
MOYENNE D’ÉQUIPE99.42694677797477787164746970697876544071
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
1Vitek Vanecek097.008880838283828383838282786455407902912,250,000$
2Ville Husso0100.007775788481818282828180796355407703034,000,000$
Rayé
Équipe Mineure
1Keith Kinkaid099.007971718277787977777878856755407503521,250,000$
2CLAY STEVENSON0100.00726060777674767676757568565040700261250,000$
MOYENNE D’ÉQUIPE99.0079727381797980808079797863544075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Connor McDavidPhiladelphia FlyersC21101222-41410365694314510.64%1745921.8633613521011391255.25%6281413000.9612002302
2Elias PetterssonPhiladelphia FlyersLW2171219-920163270224910.00%743820.8717810550000411044.44%54245000.8702000211
3Brock BoeserPhiladelphia FlyersRW218917-38035286183213.11%739718.922351054101171042.86%35145000.8611000023
4Jeff SkinnerPhiladelphia FlyersRW2171017-240332954174712.96%1138018.1044810530221162037.50%16165000.8901000002
5Brendan GallagherPhiladelphia FlyersLW2177140215363259273311.86%937217.762249501013171143.75%16164000.7500100021
6Andrei LoktionovPhiladelphia FlyersC215510200132430202416.67%730914.761122310001320151.81%19375000.6500000021
7Haydn FleuryPhiladelphia FlyersD2008814033494117130%2652926.46044972000158000%0919000.3000000000
8Dmitry KulikovPhiladelphia FlyersD210770120322520860%2045521.70000428011029000%01013000.3100000000
9Brett ConnollyPhiladelphia FlyersLW2124636032201591213.33%421710.36000000111332042.86%743000.5500000011
10Vinnie HinostrozaPhiladelphia FlyersLW2133626032183113289.68%323411.150000130001130050.00%862000.5100000100
11Evgenii DadonovPhiladelphia FlyersRW21235021536123713235.41%423911.42011212000160037.50%883000.4200100000
12Michael RasmussenPhiladelphia FlyersC21235-4402056352611177.69%632015.271233321011170045.00%24036000.3100013000
13Jake BeanPhiladelphia FlyersD18224-3208241913910.53%1231817.67213450000030000%054000.2500000000
14Jake LeschyshynPhiladelphia FlyersC211342752514158126.67%31667.9500000000060031.58%5731000.4800010000
15Nicklas BackstromPhiladelphia FlyersRW181342601011195155.26%51427.91000000000010100.00%421000.5600000001
16Nikita ZaitsevPhiladelphia FlyersD2113413005130231064.35%3144621.2500018000352000%0618000.1800000100
17Colin MillerPhiladelphia FlyersD1903308091110550%1225813.59000117011031000%0214000.2300000000
18Jakub ZborilPhiladelphia FlyersD13033-720161215860%1224719.04011126000017000%0011000.2400000000
19Nick LeddyPhiladelphia FlyersD1703322022191050%1128016.50000133000010000%018000.2100000000
Statistiques d’équipe totales ou en moyenne37858103161-17195455114836482553878.95%207621416.4416294580595459154649450.47%1266150140000.52262257812
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
1Ville HussoPhiladelphia Flyers147420.9202.368130132402194100.7147138310
2Vitek VanecekPhiladelphia Flyers83500.9083.1645620242611180100813011
Statistiques d’équipe totales ou en moyenne2210920.9162.65127021566633121172121321


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Andrei Loktionov (contrat à 1 volet)Philadelphia FlyersC351990-05-30RUSNo180 Lbs5 ft10NoNoFree AgentNoNo22025-10-19FalseFalsePro & Farm1,800,000$1,302,128$0$0$No1,800,000$--------1,800,000$--------No--------
Brendan Gallagher (contrat à 1 volet)Philadelphia FlyersLW331992-05-06CANNo183 Lbs5 ft9NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,950,000$2,134,043$0$0$No---------------------------Lien
Brett ConnollyPhiladelphia FlyersLW331992-05-02CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,100,000$795,745$0$0$No---------------------------
Brock Boeser (contrat à 1 volet)Philadelphia FlyersRW281997-02-25USANo207 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm8,280,333$5,990,028$0$0$No---------------------------Lien
Colin Miller (contrat à 1 volet)Philadelphia FlyersD321992-10-29CANNo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,500,000$1,808,511$0$0$No---------------------------Lien
Connor McDavid (contrat à 1 volet)Philadelphia FlyersC281997-01-13CANNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,333,333$3,858,156$0$0$No---------------------------Lien
Dmitry Kulikov (contrat à 1 volet)Philadelphia FlyersD341990-10-29RUSNo198 Lbs6 ft1NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm3,005,000$2,173,830$0$0$No---------------------------Lien
Elias Pettersson (contrat à 1 volet)Philadelphia FlyersLW261998-11-12SWENo185 Lbs6 ft2YesNoAssign ManuallyNoNo32025-09-30FalseFalsePro Only6,650,000$4,810,638$0$0$No6,650,000$6,650,000$-------6,650,000$6,650,000$-------YesYes-------Lien / Lien NHL
Evgenii Dadonov (contrat à 1 volet)Philadelphia FlyersRW361989-03-12RUSNo185 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,650,500$2,640,787$0$0$No---------------------------Lien
Haydn FleuryPhiladelphia FlyersD281996-07-08CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,950,000$1,410,638$0$0$No1,950,000$--------1,950,000$--------No--------Lien
Jake BeanPhiladelphia FlyersD271998-06-09CANNo176 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm2,000,000$1,446,809$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Jake LeschyshynPhiladelphia FlyersC261999-03-10USANo195 Lbs5 ft11NoNoFree AgentNoNo42025-11-01FalseFalsePro & Farm800,000$578,723$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien
Jakub ZborilPhiladelphia FlyersD281997-02-21CZENo201 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,935,000$1,399,787$0$0$No1,935,000$--------1,935,000$--------No--------Lien
Jeff Skinner (contrat à 1 volet)Philadelphia FlyersRW331992-05-16CANNo196 Lbs5 ft11NoNoFree AgentNoNo22025-10-03FalseFalsePro & Farm4,100,000$2,965,957$0$0$No4,100,000$--------4,100,000$--------No--------Lien
Michael RasmussenPhiladelphia FlyersC261999-04-17CANNo212 Lbs6 ft6NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,850,000$1,338,298$0$0$No1,850,000$1,850,000$-------1,850,000$1,850,000$-------NoNo-------Lien
Nick Leddy (contrat à 1 volet)Philadelphia FlyersD341991-03-20USANo205 Lbs6 ft0NoNoFree AgentNoNo22025-10-21FalseFalsePro & Farm1,850,000$1,338,298$0$0$No1,850,000$--------1,850,000$--------No--------Lien
Nicklas Backstrom (contrat à 1 volet)Philadelphia FlyersRW371987-11-23SWENo203 Lbs6 ft0NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm875,000$632,979$0$0$No---------------------------Lien
Nikita Zaitsev (contrat à 1 volet)Philadelphia FlyersD331991-10-29RUSNo192 Lbs6 ft2NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm1,750,000$1,265,957$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Ville Husso (contrat à 1 volet)Philadelphia FlyersG301995-02-06FINNo209 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm4,000,000$2,893,617$0$0$No4,000,000$4,000,000$-------4,000,000$4,000,000$-------NoNo-------Lien
Vinnie Hinostroza (contrat à 1 volet)Philadelphia FlyersLW311994-04-03USANo176 Lbs5 ft10NoNoFree AgentNoNo12025-10-14FalseFalsePro & Farm2,900,000$2,097,872$0$0$No---------------------------Lien
Vitek VanecekPhiladelphia FlyersG291996-01-09CZENo183 Lbs6 ft2NoNoFree AgentNoNo12025-10-17FalseFalsePro & Farm2,250,000$1,627,660$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2130.81195 Lbs6 ft11.812,929,960$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
61,529,166$28,685,000$15,300,000$800,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Elias PetterssonConnor McDavidBrock Boeser40122
2Brendan GallagherAndrei LoktionovJeff Skinner30122
3Vinnie HinostrozaMichael RasmussenEvgenii Dadonov20122
4Brett ConnollyJake LeschyshynNicklas Backstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryNikita Zaitsev40122
2Jakub ZborilJake Bean30122
3Dmitry KulikovColin Miller20122
4Dmitry KulikovNikita Zaitsev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Elias PetterssonConnor McDavidBrock Boeser60122
2Brendan GallagherAndrei LoktionovJeff Skinner40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryDmitry Kulikov60122
2Jakub ZborilJake Bean40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor McDavidElias Pettersson60122
2Michael RasmussenJeff Skinner40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryNikita Zaitsev60122
2Dmitry KulikovJake Bean40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Connor McDavid60122Haydn FleuryNikita Zaitsev60122
2Elias Pettersson40122Jakub ZborilJake Bean40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor McDavidElias Pettersson60122
2Brock BoeserJeff Skinner40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryNikita Zaitsev60122
2Jakub ZborilJake Bean40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Elias PetterssonConnor McDavidBrock BoeserHaydn FleuryNikita Zaitsev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett ConnollyAndrei LoktionovJeff SkinnerDmitry KulikovNikita Zaitsev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vinnie Hinostroza, Evgenii Dadonov, Andrei LoktionovVinnie Hinostroza, Evgenii DadonovAndrei Loktionov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitry Kulikov, Colin Miller, Haydn FleuryDmitry KulikovJakub Zboril, Colin Miller
Tirs de pénalité
Connor McDavid, Elias Pettersson, Brock Boeser, Jeff Skinner, Brendan Gallagher
Gardien
#1 : Vitek Vanecek, #2 : Ville Husso
Lignes d’attaque personnalisées en prolongation
Connor McDavid, Elias Pettersson, Brock Boeser, Jeff Skinner, Brendan Gallagher, Michael Rasmussen, Vinnie Hinostroza, Evgenii Dadonov, Andrei Loktionov, Jake Leschyshyn
Lignes de défense personnalisées en prolongation
Haydn Fleury, Nikita Zaitsev, Jakub Zboril, Jake Bean, Dmitry Kulikov


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
1Boston Bruins2010010057-21000010023-11010000034-110.16758130022106325182007014144411218.18%7442.86%125149450.81%24048449.59%14827953.05%482942173217
2Carolina Hurricanes1010000035-2000000000001010000035-200.000369102100331313704012221300.00%10100.00%025149450.81%24048449.59%14827953.05%2315197168
3Chicago Blackhawks1000000123-1000000000001000000123-110.333246001011339121242958362150.00%40100.00%025149450.81%24048449.59%14827953.05%2313239188
4Colorado Avalanche1010000012-11010000012-10000000000000.0001230001003310131003611520100.00%000%025149450.81%24048449.59%14827953.05%2214218168
5Detroit Red Wings11000000202110000002020000000000031.0002460101103112811025523304125.00%40100.00%025149450.81%24048449.59%14827953.05%2313188179
6Florida Panthers2110000034-11010000013-21100000021130.500347000120612018230612326515120.00%13376.92%125149450.81%24048449.59%14827953.05%412344183315
7Hamilton Mustangs1010000004-4000000000001010000004-400.000000000000317111304013427100.00%2150.00%025149450.81%24048449.59%14827953.05%2012257147
8Montreal Canadiens11000000633000000000001100000063331.00061218003210321499035614235120.00%2150.00%025149450.81%24048449.59%14827953.05%2213228157
9New Jersey Devils1010000014-3000000000001010000014-300.000123000010331711503313424200.00%20100.00%025149450.81%24048449.59%14827953.05%2314218157
10New York Islanders211000002201010000001-11100000021130.500235000020501617170581314474125.00%70100.00%025149450.81%24048449.59%14827953.05%422444173315
11New York Rangers210000101165100000105411100000062450.833111829002441621324234572121429222.22%80100.00%125149450.81%24048449.59%14827953.05%412449183416
12Ottawa Senators1010000037-4000000000001010000037-400.00036900201032166100371520276350.00%5260.00%025149450.81%24048449.59%14827953.05%2112228157
13Pittsburgh Penguins11000000413110000004130000000000031.0004711001210266137027131129300.00%30100.00%025149450.81%24048449.59%14827953.05%2313208168
14Quebec Nordiques11000000624110000006240000000000031.000610160023104111171303699187114.29%20100.00%025149450.81%24048449.59%14827953.05%2617167169
15Tampa Bay Lightning22000000853110000005411100000031261.00081422004130652221220582116508337.50%80100.00%125149450.81%24048449.59%14827953.05%432540183617
16Toronto Maple Leafs1010000023-11010000023-10000000000000.00023500011022551202213622300.00%3166.67%025149450.81%24048449.59%14827953.05%2212208179
Total21990011159581104400110282351155000013135-4310.492591031621119192026482162162148664207197511741621.62%711283.10%425149450.81%24048449.59%14827953.05%470283452182349175
_Since Last GM Reset21990011159581104400110282351155000013135-4310.492591031621119192026482162162148664207197511741621.62%711283.10%425149450.81%24048449.59%14827953.05%470283452182349175
_Vs Conference1888001105453183300110252141055000002932-3270.50054931471018171815511851831814574186161425671420.90%631280.95%425149450.81%24048449.59%14827953.05%401241389156297149
_Vs Division633000002120132100000126631200000914-590.5002138590088501845961640197696414625520.00%17570.59%025149450.81%24048449.59%14827953.05%13683127489650

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2131L15910316264866420719751111
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
219901115958
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
104401102823
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
115500013135
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
741621.62%711283.10%4
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
21621621481919202
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
25149450.81%24048449.59%14827953.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
470283452182349175


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
11Toronto Maple Leafs3Philadelphia Flyers2LSommaire du match
315Philadelphia Flyers3Ottawa Senators7LSommaire du match
531Pittsburgh Penguins1Philadelphia Flyers4WSommaire du match
749Philadelphia Flyers3Carolina Hurricanes5LSommaire du match
958Philadelphia Flyers6Montreal Canadiens3WSommaire du match
1172Quebec Nordiques2Philadelphia Flyers6WSommaire du match
1386Philadelphia Flyers0Hamilton Mustangs4LSommaire du match
15101Colorado Avalanche2Philadelphia Flyers1LSommaire du match
18123Detroit Red Wings0Philadelphia Flyers2WSommaire du match
20131Philadelphia Flyers2Chicago Blackhawks3LXXSommaire du match
22141Philadelphia Flyers1New Jersey Devils4LSommaire du match
25155Boston Bruins3Philadelphia Flyers2LXSommaire du match
28169Florida Panthers3Philadelphia Flyers1LSommaire du match
31183Tampa Bay Lightning4Philadelphia Flyers5WSommaire du match
34198Philadelphia Flyers2New York Islanders1WSommaire du match
38217New York Rangers4Philadelphia Flyers5WXXSommaire du match
41231Philadelphia Flyers6New York Rangers2WSommaire du match
44242New York Islanders1Philadelphia Flyers0LSommaire du match
47256Philadelphia Flyers3Tampa Bay Lightning1WSommaire du match
49268Philadelphia Flyers2Florida Panthers1WSommaire du match
52282Philadelphia Flyers3Boston Bruins4LSommaire du match
55296New Jersey Devils-Philadelphia Flyers-
59311Philadelphia Flyers-Edmonton Oilers-
62327Seattle Kraken-Philadelphia Flyers-
63337Philadelphia Flyers-Anaheim Mighty Ducks-
65351California Golden Seals-Philadelphia Flyers-
67365Philadelphia Flyers-Quebec Nordiques-
69381Montreal Canadiens-Philadelphia Flyers-
71395Carolina Hurricanes-Philadelphia Flyers-
73409Philadelphia Flyers-Pittsburgh Penguins-
77430Philadelphia Flyers-Winnipeg Jets-
79443St Louis Blues-Philadelphia Flyers-
81457Columbus Blue Jackets-Philadelphia Flyers-
83464Tampa Bay Lightning-Philadelphia Flyers-
85478Philadelphia Flyers-New York Islanders-
88492New York Rangers-Philadelphia Flyers-
92513Philadelphia Flyers-Los Angeles Kings-
93520Los Angeles Kings-Philadelphia Flyers-
95534Vancouver Canucks-Philadelphia Flyers-
98555Philadelphia Flyers-Vancouver Canucks-
100569Philadelphia Flyers-Vegas Golden Knights-
102583San Jose Sharks-Philadelphia Flyers-
105599Ottawa Senators-Philadelphia Flyers-
107610Philadelphia Flyers-Toronto Maple Leafs-
111628Hamilton Mustangs-Philadelphia Flyers-
113631Philadelphia Flyers-New Jersey Devils-
116650Boston Bruins-Philadelphia Flyers-
120670Florida Panthers-Philadelphia Flyers-
122680Anaheim Mighty Ducks-Philadelphia Flyers-
124699Philadelphia Flyers-Seattle Kraken-
126712Edmonton Oilers-Philadelphia Flyers-
128723Chicago Blackhawks-Philadelphia Flyers-
129731Philadelphia Flyers-Detroit Red Wings-
131745Philadelphia Flyers-Colorado Avalanche-
134758Philadelphia Flyers-Quebec Nordiques-
136772Montreal Canadiens-Philadelphia Flyers-
138791Philadelphia Flyers-Carolina Hurricanes-
140801Pittsburgh Penguins-Philadelphia Flyers-
144819Philadelphia Flyers-California Golden Seals-
147836Winnipeg Jets-Philadelphia Flyers-
149845Philadelphia Flyers-St Louis Blues-
151855Philadelphia Flyers-Columbus Blue Jackets-
154880Vegas Golden Knights-Philadelphia Flyers-
156892Philadelphia Flyers-San Jose Sharks-
159905Philadelphia Flyers-Tampa Bay Lightning-
161920New York Islanders-Philadelphia Flyers-
163933Philadelphia Flyers-New York Rangers-
165947Philadelphia Flyers-Florida Panthers-
167961Philadelphia Flyers-Boston Bruins-
169975New Jersey Devils-Philadelphia Flyers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
172990Quebec Nordiques-Philadelphia Flyers-
1741004Philadelphia Flyers-Montreal Canadiens-
1761020Carolina Hurricanes-Philadelphia Flyers-
1781032Philadelphia Flyers-Pittsburgh Penguins-
1801037Philadelphia Flyers-Ottawa Senators-
1811051Ottawa Senators-Philadelphia Flyers-
1831065Philadelphia Flyers-Toronto Maple Leafs-
1841079Toronto Maple Leafs-Philadelphia Flyers-
1861094Philadelphia Flyers-Hamilton Mustangs-
1871111Hamilton Mustangs-Philadelphia Flyers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité59404860198039601260
Prix des billets92513023186
Assistance48,58937,98416,43131,66710,167
Attendance PCT81.80%78.16%82.98%79.97%80.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 14484 - 80.47% 1,056,687$10,566,873$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
18,794,797$ 68,569,666$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 18,794,797$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
31,700,619$ 136 364,732$ 49,603,552$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
50,366,104$ 143,036,323$ 126,204,669$



Charte de profondeur

Ailier gaucheCentreAilier droit
Elias PetterssonAGE:26PO:40OV:82
Brendan GallagherAGE:33PO:55OV:77
Vinnie HinostrozaAGE:31PO:55OV:72
Brett ConnollyAGE:33PO:55OV:70
Gaetan HaasAGE:33PO:55OV:69
Michael FrolikAGE:37PO:55OV:67
LUKAS ELVENESAGE:25PO:52OV:67
Michael PezzettaAGE:27PO:55OV:65
Riley TufteAGE:27PO:55OV:65
Connor McDavidAGE:28PO:55OV:84
Michael RasmussenAGE:26PO:55OV:75
Andrei LoktionovAGE:35PO:55OV:71
Jake LeschyshynAGE:26PO:55OV:70
Stephane Da CostaAGE:35PO:55OV:69
JAAKKO RISSANENAGE:35PO:52OV:68
BRIAN O'NEILLAGE:37PO:52OV:67
VILJAMI MARJALAAGE:22PO:52OV:67
Ryan Winterton (R)AGE:21PO:55OV:66
Brock BoeserAGE:28PO:55OV:80
Jeff SkinnerAGE:33PO:55OV:77
Evgenii DadonovAGE:36PO:55OV:71
Lance BoumaAGE:35PO:55OV:69
Nathan BastianAGE:27PO:55OV:69
Nicklas BackstromAGE:37PO:55OV:69
JONATHAN ANGAGE:27PO:52OV:68
Yanni GourdeAGE:33PO:55OV:67
Tim GettingerAGE:27PO:55OV:65

Défense #1Défense #2Gardien
Haydn FleuryAGE:28PO:55OV:78
Nikita ZaitsevAGE:33PO:55OV:77
Jakub ZborilAGE:28PO:55OV:76
Dmitry KulikovAGE:34PO:55OV:75
Jake BeanAGE:27PO:55OV:75
Colin MillerAGE:32PO:55OV:73
Nick LeddyAGE:34PO:55OV:73
Isaak Phillips (R)AGE:23PO:55OV:72
Justin HollAGE:33PO:55OV:72
Cale FleuryAGE:26PO:55OV:71
Samuel Bolduc (R)AGE:24PO:55OV:71
ATRO LEPPANENAGE:26PO:52OV:70
LINUS HULTSTROMAGE:32PO:52OV:68
Connor MackeyAGE:28PO:55OV:67
Raphael DiazAGE:39PO:55OV:67
Guillaume BriseboisAGE:27PO:55OV:66
Vitek VanecekAGE:29PO:55OV:79
Ville HussoAGE:30PO:55OV:77
Keith KinkaidAGE:35PO:55OV:75
CLAY STEVENSONAGE:26PO:50OV:70

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
0x LTCsPhiladelphia Flyers00
0x RFA Tag (Connor McDavid Y26)Philadelphia Flyers00
0x TC PTSPhiladelphia Flyers00
1 000 000 NSHL25 Waiver BucksPhiladelphia Flyers00
1x NSHL26 ODW ClaimPhiladelphia Flyers00
Aleksei KolosovPhiladelphia Flyers21490Lien
Alexis BernierPhiladelphia Flyers241150Lien
Andrew GibsonPhiladelphia Flyers23650Lien
Arseny RadkovPhiladelphia Flyers25770Lien
Artyom GoncharPhiladelphia Flyers251180Lien
Brandon CoePhiladelphia Flyers20950Lien
Burke HoodPhiladelphia Flyers251610Lien
Calle OdeliusPhiladelphia Flyers22820Lien
Carter AmicoPhiladelphia Flyers25480Lien
Christian KyrouPhiladelphia Flyers22660Lien
Cole HutsonPhiladelphia Flyers24410Lien
Cole O'HaraPhiladelphia Flyers221490Lien
Cole SpicerPhiladelphia Flyers221280Lien
Conner RoulettePhiladelphia Flyers211370Lien
Conrad FondrkPhiladelphia Flyers25580Lien
Elias Pettersson (D)Philadelphia Flyers221130Lien
Erik PortilloPhiladelphia Flyers19610Lien
Gabriel D'AiglePhiladelphia Flyers251030Lien
Graeme ClarkPhiladelphia Flyers19620Lien
Henry BrzustewiczPhiladelphia Flyers25460Lien
Hunter JonesPhiladelphia Flyers19960Lien
Ivan ZhigalovPhiladelphia Flyers22870Lien
Jesse KiiskinenPhiladelphia Flyers23700Lien
John FarinacciPhiladelphia Flyers19580Lien
Kim SaarinenPhiladelphia Flyers241390Lien
Kirill ZarubinPhiladelphia Flyers241280Lien
Liam PetterssonPhiladelphia Flyers25750Lien
Love HarenstamPhiladelphia Flyers251740Lien
Lucas PetterssonPhiladelphia Flyers24370Lien
Mans GoosPhiladelphia Flyers251430Lien
Maxim BarbashevPhiladelphia Flyers221530Lien
Michal PradelPhiladelphia Flyers25600Lien
Nathaniel DayPhiladelphia Flyers231530Lien
Noah ReadPhiladelphia Flyers25850Lien
Oliver KapanenPhiladelphia Flyers211220Lien
Patrick MoynihanPhiladelphia Flyers19840Lien
Quentin MillerPhiladelphia Flyers231380Lien
Redmond SavagePhiladelphia Flyers211400Lien
Rieger LorenzPhiladelphia Flyers22550Lien
Ruslan KhazheyevPhiladelphia Flyers231430Lien
Ryan WintertonPhiladelphia Flyers21920Lien
Ryder DonovanPhiladelphia Flyers191100Lien
Samuel HeleniusPhiladelphia Flyers21480Lien
Samuel HonzekPhiladelphia Flyers23240Lien
Samuel SavoiePhiladelphia Flyers221070Lien
Sean FarrellPhiladelphia Flyers201190Lien
Terik ParascakPhiladelphia Flyers24220Lien
Tomas LavoiePhiladelphia Flyers241490Lien
Ty SmilanicPhiladelphia Flyers20740Lien
Tyler BrennanPhiladelphia Flyers22790Lien
Vladislav FirstovPhiladelphia Flyers19440Lien
William StromgrenPhiladelphia Flyers21430Lien
Wilson BjorckPhiladelphia Flyers251890Lien
Zack OstapchukPhiladelphia Flyers21680Lien

Choix au repêchage

Année R1R2R3R4R5R6R7
26
27
28
29
30
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Philadelphia Flyers Historique de transactions

[2026-02-17 12:13:06 PM] New Record for Team's Most Hits (36) in 1 Game for Philadelphia Flyers!
[2026-02-12 4:18:45 PM] New Record for Team's Most Hits (30) in 1 Game for Philadelphia Flyers!
[2026-02-12 4:18:45 PM] New Record for Team's Most Penalties Minutes (23) in 1 Game for Philadelphia Flyers!
[2026-02-07 8:52:59 PM] Raphael Diaz signed with Philadelphia Flyers for $1,000,000 for 1 year(s) / Option : 1 Way Contract .
[2026-02-07 8:52:59 PM] Raphael Diaz was added to Philadelphia Flyers.
[2026-02-05 1:28:02 PM] New Record for Team's Most Shots (41) in 1 Game for Philadelphia Flyers!
[2026-02-03 3:11:59 PM] New Record for Team's Most Points (18) in 1 Game for Philadelphia Flyers!
[2026-02-03 3:11:59 PM] New Record for Team's Most Assists (12) in 1 Game for Philadelphia Flyers!
[2026-02-03 3:11:59 PM] New Record for Team's Most Goals (6) in 1 Game for Philadelphia Flyers!
[2026-02-01 12:08:42 PM] New Record for Team's Most Shots (33) in 1 Game for Philadelphia Flyers!
[2026-01-30 3:38:06 PM] New Record for Team's Most Hits (29) in 1 Game for Philadelphia Flyers!
[2026-01-30 3:38:06 PM] New Record for Team's Most Points (11) in 1 Game for Philadelphia Flyers!
[2026-01-30 3:38:06 PM] New Record for Team's Most Assists (7) in 1 Game for Philadelphia Flyers!
[2026-01-30 3:38:06 PM] New Record for Team's Most Goals (4) in 1 Game for Philadelphia Flyers!



LINUS HULTSTROM est dehors pour 6 jours à cause de Back Spasms Injury.



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