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Philadelphia Flyers
GP: 12 | W: 4 | L: 6 | OTL: 2 | P: 14
GF: 32 | GA: 37 | PP%: 19.05% | PK%: 76.67%
DG: Brad | Morale : 40 | Moyenne d’équipe : 75
Prochains matchs #169 vs Florida Panthers

Centre de jeu
Philadelphia Flyers
4-6-2, 14pts
1
4 New Jersey Devils
6-4-1, 18pts
Team Stats
OTL1SéquenceW4
3-2-1Fiche domicile3-3-1
1-4-1Fiche visiteur3-1-0
4-4-2Derniers 10 matchs6-3-1
2.67Buts par match 2.91
3.08Buts contre par match 2.55
19.05%Pourcentage en avantage numérique16.67%
76.67%Pourcentage en désavantage numérique82.61%
Boston Bruins
7-5-0, 20pts
3
2 Philadelphia Flyers
4-6-2, 14pts
Team Stats
W1SéquenceOTL1
2-4-0Fiche domicile3-2-1
5-1-0Fiche visiteur1-4-1
6-4-0Derniers 10 matchs4-4-2
3.08Buts par match 2.67
2.58Buts contre par match 3.08
20.00%Pourcentage en avantage numérique19.05%
86.96%Pourcentage en désavantage numérique76.67%
Florida Panthers
4-7-0, 12pts
Jour 28
Philadelphia Flyers
4-6-2, 14pts
Statistiques d’équipe
L1SéquenceOTL1
2-4-0Fiche domicile3-2-1
2-3-0Fiche visiteur1-4-1
3-7-010 derniers matchs4-4-2
2.36Buts par match 2.67
2.73Buts contre par match 2.67
10.64%Pourcentage en avantage numérique19.05%
83.33%Pourcentage en désavantage numérique76.67%
Tampa Bay Lightning
7-1-3, 22pts
Jour 31
Philadelphia Flyers
4-6-2, 14pts
Statistiques d’équipe
W1SéquenceOTL1
3-0-2Fiche domicile3-2-1
4-1-1Fiche visiteur1-4-1
6-1-310 derniers matchs4-4-2
2.73Buts par match 2.67
2.00Buts contre par match 2.67
18.75%Pourcentage en avantage numérique19.05%
90.00%Pourcentage en désavantage numérique76.67%
Philadelphia Flyers
4-6-2, 14pts
Jour 34
New York Islanders
5-5-1, 14pts
Statistiques d’équipe
OTL1SéquenceL1
3-2-1Fiche domicile2-2-1
1-4-1Fiche visiteur3-3-0
4-4-210 derniers matchs4-5-1
2.67Buts par match 2.36
3.08Buts contre par match 2.36
19.05%Pourcentage en avantage numérique11.63%
76.67%Pourcentage en désavantage numérique78.38%
Meneurs d'équipe
Elias PetterssonButs
Elias Pettersson
5
Passes
Jeff Skinner
7
Elias PetterssonPoints
Elias Pettersson
11
Plus/Moins
Brendan Gallagher
2
Victoires
Ville Husso
3
Pourcentage d’arrêts
Ville Husso
0.92

Statistiques d’équipe
Buts pour
32
2.67 GFG
Tirs pour
375
31.25 Avg
Pourcentage en avantage numérique
19.0%
8 GF
Début de zone offensive
39.3%
Buts contre
37
3.08 GAA
Tirs contre
394
32.83 Avg
Pourcentage en désavantage numérique
76.7%%
7 GA
Début de la zone défensive
37.9%
Informations de l'équipe

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


Informations de l’aréna

NomWells Fargo Center
Capacité18,000
Assistance14,800
Billets de saison7,740


Informations de la formation

Équipe Pro21
Équipe Mineure26
Limite contact 47 / 250
Espoirs59


Finance

Revenu annuel à ce jour6,547,338$
Dépenses annuelles à ce jour8,988,627$
Revenus de la saison estimés37,101,582$
Dépenses de la saison estimées58,792,470$
Compte bancaire actuel148,710,758$
Compte bancaire projeté128,270,230$


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 McDavid0X99.0080498792769799939995907988778255408402815,333,333$
2Elias Pettersson0X99.00644292997294979092909074867377404082N02636,650,000$
3Brock Boeser0X99.0074498493729191856790907086778055408002818,280,333$
4Brendan Gallagher0X99.0085448290509294816779917180816655407703312,950,000$
5Jeff Skinner0X99.0081468387649088827281867176816755407703324,100,000$
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 Fleury0X99.0075528884858383835089708170778355407802821,950,000$
14Nikita Zaitsev0X100.0090467979848989745076637963818255407703321,750,000$
15Jakub Zboril0X100.0082468482808282775278667766778255407602821,935,000$
16Dmitry Kulikov0X99.0079488479829091715075627769817455407503413,005,000$
17Colin Miller0X100.0076497676828288745077667365807355407303212,500,000$
18Nick Leddy0X100.0053469083818689675071647567828155407303421,850,000$
Rayé
1Jake Bean0X90.5260388591787979815080677971727655407502732,000,000$
Équipe Mineure
1Gaetan Haas0X99.007544688265777668737171667381695540690332850,000$
2Lance Bouma0X100.0081487666788182677171696369847555406903511,150,000$
3Nathan Bastian0X100.009256657592747262746466716874745540690271600,000$
4Stephane Da Costa0X100.006537798056777768757369637384765540690351955,000$
5JAAKKO RISSANEN0X99.005138697371606074707566697084935240680351500,500$
6JONATHAN ANG0X100.005329608760606071707472647572725240680271300,000$
7BRIAN O'NEILL0X100.005233707857606069767266676988945240670371250,000$
8LUKAS ELVENES0X99.005333588667606072697962607169695240670251350,000$
9Michael Frolik0X100.005341757371767666646968596786765540670371500,000$
10VILJAMI MARJALA0X99.005433738767606073647863637262625240670221275,000$
11Yanni Gourde0X100.006039738546807765706769657281655540670331900,000$
12Riley Tufte0X100.005657706297697460706263736274715540650273500,000$
13Isaak Phillips (R)0X100.007858837789778569507264716468815540720231500,000$
14Justin Holl0X99.005546837986788371507067756581805540720331950,000$
15Cale Fleury0X100.007552837288748067526462726073835540710264624,000$
16Samuel Bolduc (R)0X99.007156827096758067506665716170815540710241600,000$
17Connor Mackey0X100.0065504079786969675069636562756655406702811,667,000$
18Raphael Diaz0X99.0054428769687575655769596560908055406703911,000,000$
19Ryan Winterton (R)0X100.006046807883707860546062736563685540660212800,000$
20Michael Pezzetta0X100.009768556379727760676362666176725540650272950,000$
21Tim Gettinger0X100.007354776290687360686063726174725540650272600,000$
22ATRO LEPPANEN0X72.465543788974606072487971687171815240700261510,000$
23LINUS HULTSTROM0X62.475445787768606071487968676778875240680321250,000$
24Guillaume Brisebois0X73.045539858752696863506361676374655540660273500,000$
MOYENNE D’ÉQUIPE97.31694677797477787164746970697876544071
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 Vanecek0100.008880838283828383838282786455407902912,250,000$
2Ville Husso097.007775788481818282828180796355407703034,000,000$
Rayé
Équipe Mineure
1Keith Kinkaid098.007971718277787977777878856755407503521,250,000$
2CLAY STEVENSON097.00726060777674767676757568565040700261250,000$
MOYENNE D’ÉQUIPE98.0079727381797980808079797863544075
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
1Elias PetterssonPhiladelphia FlyersLW125611-8009214792810.64%526422.010334370000150043.90%41143000.8301000110
2Connor McDavidPhiladelphia FlyersC124610-65523254717268.51%524520.42000424000030157.78%33497000.8201001101
3Jeff SkinnerPhiladelphia FlyersRW123710-12016172892710.71%721818.19145430000021050.00%8113000.9201000000
4Brendan GallagherPhiladelphia FlyersLW125492115191731191716.13%421417.89224529000181053.85%13100000.8400100011
5Brock BoeserPhiladelphia FlyersRW12459-4202393961810.26%623819.85112736000000038.10%2194000.7611000012
6Andrei LoktionovPhiladelphia FlyersC1224620061117141611.76%417414.571121160000160053.47%10144000.6900000011
7Dmitry KulikovPhiladelphia FlyersD12055-460181313530%1327122.6500028000010000%068000.3700000000
8Brett ConnollyPhiladelphia FlyersLW12224220221184825.00%413411.22000000000182040.00%521000.5900000011
9Evgenii DadonovPhiladelphia FlyersRW121340175226238174.35%112510.4801111000010050.00%643000.6400100000
10Michael RasmussenPhiladelphia FlyersC12134-336203321771114.29%318915.79123326000060045.91%15923000.4200013000
11Haydn FleuryPhiladelphia FlyersD11033-1201526251390%1329426.81011539000025000%098000.2000000000
12Vinnie HinostrozaPhiladelphia FlyersLW12213-10017121971510.53%212410.39000010001120066.67%332000.4800000000
13Colin MillerPhiladelphia FlyersD10022240768430%816216.20000117000015000%018000.2500000000
14Jake BeanPhiladelphia FlyersD10202-120613108720.00%615415.4820233000009000%034000.2600000000
15Jake LeschyshynPhiladelphia FlyersC1202225518910560%2988.2200000000040023.53%3421000.4100010000
16Jakub ZborilPhiladelphia FlyersD7022-5209611440%813819.7301111700005000%005000.2900000000
17Nick LeddyPhiladelphia FlyersD100221202167440%817717.7700012300004000%004000.2300000000
18Nicklas BackstromPhiladelphia FlyersRW1202210099123120%5978.15000000000000100.00%311000.4100000000
19Nikita ZaitsevPhiladelphia FlyersD12112-1120291613557.69%1924920.8000000000019000%0412000.1600000100
Statistiques d’équipe totales ou en moyenne216326092-23110403032643751512368.53%123357516.55816244234100021824151.51%7289481000.5114224356
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 Flyers83220.9202.414480118225110000.500475100
2Vitek VanecekPhiladelphia Flyers51400.8993.70276001716875010057001
Statistiques d’équipe totales ou en moyenne134620.9112.9072501353931850141212101


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$1,560,638$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$2,557,713$0$0$No---------------------------Lien
Brett ConnollyPhiladelphia FlyersLW331992-05-02CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,100,000$953,723$0$0$No---------------------------
Brock Boeser (contrat à 1 volet)Philadelphia FlyersRW281997-02-25USANo207 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm8,280,333$7,179,225$0$0$No---------------------------Lien
Colin Miller (contrat à 1 volet)Philadelphia FlyersD321992-10-29CANNo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,500,000$2,167,553$0$0$No---------------------------Lien
Connor McDavid (contrat à 1 volet)Philadelphia FlyersC281997-01-13CANNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,333,333$4,624,113$0$0$No---------------------------Lien
Dmitry Kulikov (contrat à 1 volet)Philadelphia FlyersD341990-10-29RUSNo198 Lbs6 ft1NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm3,005,000$2,605,399$0$0$No---------------------------Lien
Elias Pettersson (contrat à 1 volet)Philadelphia FlyersLW261998-11-12SWENo185 Lbs6 ft2YesNoAssign ManuallyNoNo32025-09-30FalseFalsePro Only6,650,000$5,765,691$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$3,165,061$0$0$No---------------------------Lien
Haydn FleuryPhiladelphia FlyersD281996-07-08CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,950,000$1,690,691$0$0$No1,950,000$--------1,950,000$--------No--------Lien
Jake BeanPhiladelphia FlyersD271998-06-09CANNo176 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm2,000,000$1,734,043$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$693,617$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$1,677,686$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$3,554,787$0$0$No4,100,000$--------4,100,000$--------No--------Lien
Michael RasmussenPhiladelphia FlyersC261999-04-17CANNo212 Lbs6 ft6NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,850,000$1,603,989$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$1,603,989$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$758,644$0$0$No---------------------------Lien
Nikita Zaitsev (contrat à 1 volet)Philadelphia FlyersD331991-10-29RUSNo192 Lbs6 ft2NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm1,750,000$1,517,287$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$3,468,085$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$2,514,362$0$0$No---------------------------Lien
Vitek VanecekPhiladelphia FlyersG291996-01-09CZENo183 Lbs6 ft2NoNoFree AgentNoNo12025-10-17FalseFalsePro & Farm2,250,000$1,950,798$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
1Brendan GallagherConnor McDavidBrock Boeser40014
2Elias PetterssonAndrei LoktionovJeff Skinner30041
3Vinnie HinostrozaMichael RasmussenEvgenii Dadonov20014
4Brett ConnollyJake LeschyshynNicklas Backstrom10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitry KulikovHaydn Fleury40041
2Jakub ZborilNikita Zaitsev30041
3Colin MillerNick Leddy20041
4Dmitry KulikovNikita Zaitsev10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Elias PetterssonMichael RasmussenJeff Skinner60005
2Brendan GallagherConnor McDavidBrock Boeser40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryJakub Zboril60005
2Nick LeddyDmitry Kulikov40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor McDavidBrett Connolly60050
2Michael RasmussenEvgenii Dadonov40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerNikita Zaitsev60050
2Nick LeddyDmitry Kulikov40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Rasmussen60050Colin MillerNikita Zaitsev60050
2Andrei Loktionov40050Jakub ZborilDmitry Kulikov40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor McDavidJeff Skinner60014
2Andrei LoktionovElias Pettersson40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitry KulikovNikita Zaitsev60014
2Colin MillerJakub Zboril40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Elias PetterssonConnor McDavidJeff SkinnerHaydn FleuryDmitry Kulikov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett ConnollyMichael RasmussenEvgenii DadonovColin MillerNikita Zaitsev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor McDavid, Elias Pettersson, Andrei LoktionovVinnie Hinostroza, Evgenii DadonovAndrei Loktionov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitry Kulikov, Colin Miller, Haydn FleuryDmitry KulikovColin Miller, Nikita Zaitsev
Tirs de pénalité
Connor McDavid, Elias Pettersson, Brock Boeser, Jeff Skinner, Brendan Gallagher
Gardien
#1 : Ville Husso, #2 : Vitek Vanecek
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, Nick Leddy, Jakub Zboril, 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 Bruins1000010023-11000010023-10000000000010.333246001010281341103484265120.00%220.00%014628351.59%14227352.01%8716552.73%2514218179
2Carolina Hurricanes1010000035-2000000000001010000035-200.000369102100331313704012221300.00%10100.00%014628351.59%14227352.01%8716552.73%2315197168
3Chicago Blackhawks1000000123-1000000000001000000123-110.333246001011339121242958362150.00%40100.00%014628351.59%14227352.01%8716552.73%2313239188
4Colorado Avalanche1010000012-11010000012-10000000000000.0001230001003310131003611520100.00%000%014628351.59%14227352.01%8716552.73%2214218168
5Detroit Red Wings11000000202110000002020000000000031.0002460101103112811025523304125.00%40100.00%014628351.59%14227352.01%8716552.73%2313188179
6Hamilton Mustangs1010000004-4000000000001010000004-400.000000000000317111304013427100.00%2150.00%014628351.59%14227352.01%8716552.73%2012257147
7Montreal Canadiens11000000633000000000001100000063331.00061218003210321499035614235120.00%2150.00%014628351.59%14227352.01%8716552.73%2213228157
8New Jersey Devils1010000014-3000000000001010000014-300.000123000010331711503313424200.00%20100.00%014628351.59%14227352.01%8716552.73%2314218157
9Ottawa Senators1010000037-4000000000001010000037-400.00036900201032166100371520276350.00%5260.00%014628351.59%14227352.01%8716552.73%2112228157
10Pittsburgh Penguins11000000413110000004130000000000031.0004711001210266137027131129300.00%30100.00%014628351.59%14227352.01%8716552.73%2313208168
11Quebec Nordiques11000000624110000006240000000000031.000610160023104111171303699187114.29%20100.00%014628351.59%14227352.01%8716552.73%2617167169
12Toronto Maple Leafs1010000023-11010000023-10000000000000.00023500011022551202213622300.00%3166.67%014628351.59%14227352.01%8716552.73%2212208179
Total1246001013237-56320010017116614000011526-11140.38932609211121191375133122120439412311030342819.05%30776.67%014628351.59%14227352.01%8716552.73%27817025299197101
_Since Last GM Reset1246001013237-56320010017116614000011526-11140.38932609211121191375133122120439412311030342819.05%30776.67%014628351.59%14227352.01%8716552.73%27817025299197101
_Vs Conference935001002732-5421001001495514000001323-10100.3702750771011970278102898703041027421735617.14%22768.18%014628351.59%14227352.01%8716552.73%2091281887214576
_Vs Division633000002120132100000126631200000914-590.5002138590088501845961640197696414625520.00%17570.59%014628351.59%14227352.01%8716552.73%13683127489650

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1214OTL132609237539412311030311
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
124601013237
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63201001711
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
61400011526
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
42819.05%30776.67%0
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
1331221204121191
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
14628351.59%14227352.01%8716552.73%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
27817025299197101


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 Panthers-Philadelphia Flyers-
31183Tampa Bay Lightning-Philadelphia Flyers-
34198Philadelphia Flyers-New York Islanders-
38217New York Rangers-Philadelphia Flyers-
41231Philadelphia Flyers-New York Rangers-
44242New York Islanders-Philadelphia Flyers-
47256Philadelphia Flyers-Tampa Bay Lightning-
49268Philadelphia Flyers-Florida Panthers-
52282Philadelphia Flyers-Boston Bruins-
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
Assistance30,85022,39510,15319,0866,315
Attendance PCT86.56%76.80%85.46%80.33%83.53%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 14800 - 82.22% 1,091,223$6,547,338$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
8,988,627$ 67,809,666$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 8,988,627$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
37,101,582$ 163 360,690$ 58,792,470$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
59,663,053$ 148,710,758$ 128,270,230$



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 11:13:06 AM] New Record for Team's Most Hits (36) in 1 Game for Philadelphia Flyers!
[2026-02-12 3:18:45 PM] New Record for Team's Most Hits (30) in 1 Game for Philadelphia Flyers!
[2026-02-12 3:18:45 PM] New Record for Team's Most Penalties Minutes (23) in 1 Game for Philadelphia Flyers!
[2026-02-07 7:52:59 PM] Raphael Diaz signed with Philadelphia Flyers for $1,000,000 for 1 year(s) / Option : 1 Way Contract .
[2026-02-07 7:52:59 PM] Raphael Diaz was added to Philadelphia Flyers.
[2026-02-05 12:28:02 PM] New Record for Team's Most Shots (41) in 1 Game for Philadelphia Flyers!
[2026-02-03 2:11:59 PM] New Record for Team's Most Points (18) in 1 Game for Philadelphia Flyers!
[2026-02-03 2:11:59 PM] New Record for Team's Most Assists (12) in 1 Game for Philadelphia Flyers!
[2026-02-03 2:11:59 PM] New Record for Team's Most Goals (6) in 1 Game for Philadelphia Flyers!
[2026-02-01 11:08:42 AM] New Record for Team's Most Shots (33) in 1 Game for Philadelphia Flyers!
[2026-01-30 2:38:06 PM] New Record for Team's Most Hits (29) in 1 Game for Philadelphia Flyers!
[2026-01-30 2:38:06 PM] New Record for Team's Most Points (11) in 1 Game for Philadelphia Flyers!
[2026-01-30 2:38:06 PM] New Record for Team's Most Assists (7) in 1 Game for Philadelphia Flyers!
[2026-01-30 2:38:06 PM] New Record for Team's Most Goals (4) in 1 Game for Philadelphia Flyers!



ATRO LEPPANEN est dehors pour 3 semaines à cause de Sprained Left Finger Injury.
Guillaume Brisebois est dehors pour 3 semaines à cause de Back Spasms Injury.
Jake Bean est dehors pour 5 jours à cause de Strained Left Elbow Injury.
LINUS HULTSTROM est dehors pour 1 mois 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