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Philadelphia Flyers
GP: 34 | W: 17 | L: 14 | OTL: 3 | P: 52
GF: 99 | GA: 92 | PP%: 21.14% | PK%: 81.82%
DG: Brad | Morale : 40 | Moyenne d’équipe : 75
Prochains matchs #478 vs New York Islanders

Centre de jeu
Columbus Blue Jackets
21-8-4, 63pts
3
1 Philadelphia Flyers
17-14-3, 52pts
Team Stats
W2SéquenceW1
12-4-1Fiche domicile10-7-1
9-4-3Fiche visiteur7-7-2
5-4-1Derniers 10 matchs5-4-1
2.73Buts par match 2.91
2.12Buts contre par match 2.71
18.66%Pourcentage en avantage numérique21.14%
89.77%Pourcentage en désavantage numérique81.82%
Tampa Bay Lightning
18-10-6, 56pts
2
5 Philadelphia Flyers
17-14-3, 52pts
Team Stats
L1SéquenceW1
11-4-2Fiche domicile10-7-1
7-6-4Fiche visiteur7-7-2
5-3-2Derniers 10 matchs5-4-1
2.82Buts par match 2.91
2.35Buts contre par match 2.71
21.05%Pourcentage en avantage numérique21.14%
84.72%Pourcentage en désavantage numérique81.82%
Philadelphia Flyers
17-14-3, 52pts
Jour 85
New York Islanders
18-15-1, 51pts
Statistiques d’équipe
W1SéquenceW2
10-7-1Fiche domicile7-7-1
7-7-2Fiche visiteur11-8-0
5-4-110 derniers matchs7-3-0
2.91Buts par match 2.44
2.71Buts contre par match 2.44
21.14%Pourcentage en avantage numérique16.28%
81.82%Pourcentage en désavantage numérique79.28%
New York Rangers
14-14-6, 46pts
Jour 88
Philadelphia Flyers
17-14-3, 52pts
Statistiques d’équipe
W1SéquenceW1
5-9-3Fiche domicile10-7-1
9-5-3Fiche visiteur7-7-2
5-4-110 derniers matchs5-4-1
2.50Buts par match 2.91
2.74Buts contre par match 2.91
18.44%Pourcentage en avantage numérique21.14%
81.31%Pourcentage en désavantage numérique81.82%
Philadelphia Flyers
17-14-3, 52pts
Jour 92
Los Angeles Kings
19-12-2, 55pts
Statistiques d’équipe
W1SéquenceW1
10-7-1Fiche domicile9-5-2
7-7-2Fiche visiteur10-7-0
5-4-110 derniers matchs4-5-1
2.91Buts par match 2.67
2.71Buts contre par match 2.67
21.14%Pourcentage en avantage numérique15.44%
81.82%Pourcentage en désavantage numérique86.17%
Meneurs d'équipe
Buts
Connor McDavid
16
Passes
Connor McDavid
21
Points
Connor McDavid
37
Plus/Moins
Nick Leddy
8
Victoires
Ville Husso
11
Pourcentage d’arrêts
Vitek Vanecek
0.924

Statistiques d’équipe
Buts pour
99
2.91 GFG
Tirs pour
1047
30.79 Avg
Pourcentage en avantage numérique
21.1%
26 GF
Début de zone offensive
38.0%
Buts contre
92
2.71 GAA
Tirs contre
1059
31.15 Avg
Pourcentage en désavantage numérique
81.8%%
22 GA
Début de la zone défensive
39.0%
Informations de l'équipe

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


Informations de l’aréna

NomWells Fargo Center
Capacité18,000
Assistance14,333
Billets de saison7,740


Informations de la formation

Équipe Pro21
Équipe Mineure26
Limite contact 47 / 250
Espoirs59


Finance

Revenu annuel à ce jour18,725,546$
Dépenses annuelles à ce jour30,098,565$
Revenus de la saison estimés22,886,778$
Dépenses de la saison estimées38,296,860$
Compte bancaire actuel140,186,012$
Compte bancaire projeté125,507,046$


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 Pettersson0X97.00644292997294979092909074867377404082N02636,650,000$
3Brock Boeser0X100.0074498493729191856790907086778055408002818,280,333$
4Brendan Gallagher0X100.0085448290509294816779917180816655407703312,950,000$
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 Fleury0X97.0075528884858383835089708170778355407802821,950,000$
14Nikita Zaitsev0X97.0090467979848989745076637963818255407703321,750,000$
15Dmitry Kulikov0X100.0079488479829091715075627769817455407503413,005,000$
16Jake Bean0X100.0060388591787979815080677971727655407502732,000,000$
17Colin Miller0X100.0076497676828288745077667365807355407303212,500,000$
18Nick Leddy0X100.0053469083818689675071647567828155407303421,850,000$
Rayé
1Jakub Zboril0X100.0082468482808282775278667766778255407602821,935,000$
Équipe Mineure
1Gaetan Haas0X100.007544688265777668737171667381695540690332850,000$
2Lance Bouma0X100.0081487666788182677171696369847555406903511,150,000$
3Nathan Bastian0X100.009256657592747262746466716874745540690271600,000$
4Stephane Da Costa0X100.006537798056777768757369637384765540690351955,000$
5JAAKKO RISSANEN0X98.205138697371606074707566697084935240680351500,500$
6BRIAN O'NEILL0X100.005233707857606069767266676988945240670371250,000$
7LUKAS ELVENES0X98.005333588667606072697962607169695240670251350,000$
8Michael Frolik0X100.005341757371767666646968596786765540670371500,000$
9Yanni Gourde0X99.006039738546807765706769657281655540670331900,000$
10Ryan Winterton (R)0X100.006046807883707860546062736563685540660212800,000$
11Michael Pezzetta0X100.009768556379727760676362666176725540650272950,000$
12Tim Gettinger0X100.007354776290687360686063726174725540650272600,000$
13Isaak Phillips (R)0X100.007858837789778569507264716468815540720231500,000$
14Justin Holl0X100.005546837986788371507067756581805540720331950,000$
15Cale Fleury0X99.007552837288748067526462726073835540710264624,000$
16Samuel Bolduc (R)0X100.007156827096758067506665716170815540710241600,000$
17Raphael Diaz0X100.0054428769687575655769596560908055406703911,000,000$
18Guillaume Brisebois0X100.005539858752696863506361676374655540660273500,000$
19JONATHAN ANG0X90.825329608760606071707472647572725240680271300,000$
20VILJAMI MARJALA0X92.915433738767606073647863637262625240670221275,000$
21Riley Tufte0X100.005657706297697460706263736274715540650273500,000$
22ATRO LEPPANEN0X100.005543788974606072487971687171815240700261510,000$
23LINUS HULTSTROM0X100.005445787768606071487968676778875240680321250,000$
24Connor Mackey0X100.0065504079786969675069636562756655406702811,667,000$
MOYENNE D’ÉQUIPE99.23694677797477787164746970697876544071
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 Husso095.007775788481818282828180796355407703034,000,000$
Rayé
Équipe Mineure
1Keith Kinkaid0100.007971718277787977777878856755407503521,250,000$
2CLAY STEVENSON096.00726060777674767676757568565040700261250,000$
MOYENNE D’ÉQUIPE97.7579727381797980808079797863544075
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 FlyersC34162137320106185134398011.94%2175122.11551021981011711255.12%10362615000.9812002343
2Elias PetterssonPhiladelphia FlyersLW34162036-2403456123328213.01%1472521.3431215171000001673146.67%753511000.9902000522
3Jeff SkinnerPhiladelphia FlyersRW34111526-160574689266112.36%1463018.55551015900222354043.75%32218000.8201000103
4Brock BoeserPhiladelphia FlyersRW34121325-224105949107175211.21%963818.7844816971011181145.10%51199000.7811002024
5Brendan GallagherPhiladelphia FlyersLW3491221-6255605984425710.71%1458717.2725712851013291140.00%20256000.7200100021
6Andrei LoktionovPhiladelphia FlyersC346713-195333856273510.71%1049514.561122400005590148.62%32786000.5300001022
7Vinnie HinostrozaPhiladelphia FlyersLW346713412051286519469.23%839511.640000150003311041.67%1296000.6600000110
8Dmitry KulikovPhiladelphia FlyersD3411011525555533019103.33%3172221.25112768011058000%01317000.3000001000
9Haydn FleuryPhiladelphia FlyersD3201111-212047766124270%4884526.4405512115000397000%01527000.2601000000
10Nikita ZaitsevPhiladelphia FlyersD343811149586514715126.38%6077122.68112426000392010%01030000.2900100100
11Michael RasmussenPhiladelphia FlyersC345510-55220745244173311.36%1051115.032354601011251043.57%34268000.3900013000
12Evgenii DadonovPhiladelphia FlyersRW34279225559184918334.08%437210.95011213000160046.67%15116000.4800100000
13Brett ConnollyPhiladelphia FlyersLW344486100412430172413.33%43189.37000010111343033.33%944000.5000000012
14Jake BeanPhiladelphia FlyersD2725717517432722177.41%1848618.03213474000149000%0108000.2900001000
15Colin MillerPhiladelphia FlyersD280660215252116790%2539514.14000128011038000%0221000.3000001000
16Jake LeschyshynPhiladelphia FlyersC34246475342120101810.00%52697.9300000000080031.40%8632000.4500010000
17Jakub ZborilPhiladelphia FlyersD23055-64022262214110%1943919.11011148000036000%0114000.2300000000
18Nick LeddyPhiladelphia FlyersD29145840429141397.14%2244015.19000141000017000%068000.2300000000
19Nicklas BackstromPhiladelphia FlyersRW31235512017152912266.90%82498.0500000000001083.33%631000.4000000001
Statistiques d’équipe totales ou en moyenne61298167265143288083679010473906429.36%3441004716.4226457111910074592678116750.02%2011227207000.53273211111418
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 Flyers2411930.9092.6513600260662325200.71472311411
2Vitek VanecekPhiladelphia Flyers136500.9242.60693203039619401001123121
Statistiques d’équipe totales ou en moyenne37171430.9152.632054229010585192173434532


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$1,005,319$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$1,647,606$0$0$No---------------------------Lien
Brett ConnollyPhiladelphia FlyersLW331992-05-02CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,100,000$614,362$0$0$No---------------------------
Brock Boeser (contrat à 1 volet)Philadelphia FlyersRW281997-02-25USANo207 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm8,280,333$4,624,654$0$0$No---------------------------Lien
Colin Miller (contrat à 1 volet)Philadelphia FlyersD321992-10-29CANNo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,500,000$1,396,277$0$0$No---------------------------Lien
Connor McDavid (contrat à 1 volet)Philadelphia FlyersC281997-01-13CANNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,333,333$2,978,723$0$0$No---------------------------Lien
Dmitry Kulikov (contrat à 1 volet)Philadelphia FlyersD341990-10-29RUSNo198 Lbs6 ft1NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm3,005,000$1,678,324$0$0$No---------------------------Lien
Elias Pettersson (contrat à 1 volet)Philadelphia FlyersLW261998-11-12SWENo185 Lbs6 ft2YesNoAssign ManuallyNoNo32025-09-30FalseFalsePro Only6,650,000$3,714,096$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$2,038,843$0$0$No---------------------------Lien
Haydn FleuryPhiladelphia FlyersD281996-07-08CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,950,000$1,089,096$0$0$No1,950,000$--------1,950,000$--------No--------Lien
Jake BeanPhiladelphia FlyersD271998-06-09CANNo176 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm2,000,000$1,117,021$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$446,809$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$1,080,718$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$2,289,894$0$0$No4,100,000$--------4,100,000$--------No--------Lien
Michael RasmussenPhiladelphia FlyersC261999-04-17CANNo212 Lbs6 ft6NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,850,000$1,033,245$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$1,033,245$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$488,697$0$0$No---------------------------Lien
Nikita Zaitsev (contrat à 1 volet)Philadelphia FlyersD331991-10-29RUSNo192 Lbs6 ft2NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm1,750,000$977,394$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$2,234,043$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$1,619,681$0$0$No---------------------------Lien
Vitek VanecekPhiladelphia FlyersG291996-01-09CZENo183 Lbs6 ft2NoNoFree AgentNoNo12025-10-17FalseFalsePro & Farm2,250,000$1,256,649$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 McDavidJeff Skinner40122
2Brendan GallagherMichael RasmussenBrock Boeser30122
3Vinnie HinostrozaAndrei LoktionovEvgenii Dadonov20122
4Brett ConnollyJake LeschyshynNicklas Backstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryNikita Zaitsev40122
2Jake BeanDmitry Kulikov30122
3Nick LeddyColin Miller20122
4Haydn FleuryNikita Zaitsev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Elias PetterssonConnor McDavidBrock Boeser60122
2Brendan GallagherMichael RasmussenJeff Skinner40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryNikita Zaitsev60122
2Jake BeanDmitry Kulikov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor McDavidElias Pettersson60122
2Brock BoeserJeff Skinner40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryNikita Zaitsev60122
2Jake BeanDmitry Kulikov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Connor McDavid60122Haydn FleuryNikita Zaitsev60122
2Elias Pettersson40122Jake BeanDmitry Kulikov40122
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
2Jake BeanDmitry Kulikov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Elias PetterssonConnor McDavidBrock BoeserHaydn FleuryNikita Zaitsev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Elias PetterssonConnor McDavidBrock BoeserHaydn FleuryNikita Zaitsev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vinnie Hinostroza, Evgenii Dadonov, Andrei LoktionovVinnie Hinostroza, Evgenii DadonovAndrei Loktionov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Leddy, Colin Miller, Jake BeanNick LeddyColin Miller, Jake Bean
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, Jake Bean, Dmitry Kulikov, Nick Leddy


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 Mighty Ducks1010000034-1000000000001010000034-100.00034700102019105403010122310110.00%60100.00%037975850.00%37977848.71%24846153.80%1992110189
2Boston Bruins2010010057-21000010023-11010000034-110.16758130022106325182007014144411218.18%7442.86%137975850.00%37977848.71%24846153.80%482942173217
3California Golden Seals1010000035-21010000035-20000000000000.00035800102024106802981424100.00%7357.14%037975850.00%37977848.71%24846153.80%2010229178
4Carolina Hurricanes2110000067-1110000003211010000035-230.50061218102400571627140811813456233.33%40100.00%037975850.00%37977848.71%24846153.80%422642163417
5Chicago Blackhawks1000000123-1000000000001000000123-110.333246001011339121242958362150.00%40100.00%037975850.00%37977848.71%24846153.80%2313239188
6Colorado Avalanche1010000012-11010000012-10000000000000.0001230001003310131003611520100.00%000%037975850.00%37977848.71%24846153.80%2214218168
7Columbus Blue Jackets1010000013-21010000013-20000000000000.00011200001031419803212832300.00%4175.00%037975850.00%37977848.71%24846153.80%2213219167
8Detroit Red Wings11000000202110000002020000000000031.0002460101103112811025523304125.00%40100.00%037975850.00%37977848.71%24846153.80%2313188179
9Edmonton Oilers10001000431000000000001000100043120.6674610000211381313111307032200.00%000%037975850.00%37977848.71%24846153.80%2314217168
10Florida Panthers2110000034-11010000013-21100000021130.500347000120612018230612326515120.00%13376.92%137975850.00%37977848.71%24846153.80%412344183315
11Hamilton Mustangs1010000004-4000000000001010000004-400.000000000000317111304013427100.00%2150.00%037975850.00%37977848.71%24846153.80%2012257147
12Montreal Canadiens22000000945110000003121100000063361.00091726004410663114210621627548225.00%7271.43%037975850.00%37977848.71%24846153.80%462841173216
13New Jersey Devils2020000038-51010000024-21010000014-300.00036900003053202310050221557600.00%5260.00%037975850.00%37977848.71%24846153.80%452641173316
14New York Islanders211000002201010000001-11100000021130.500235000020501617170581314474125.00%70100.00%037975850.00%37977848.71%24846153.80%422444173315
15New York Rangers210000101165100000105411100000062450.833111829002441621324234572121429222.22%80100.00%137975850.00%37977848.71%24846153.80%412449183416
16Ottawa Senators1010000037-4000000000001010000037-400.00036900201032166100371520276350.00%5260.00%037975850.00%37977848.71%24846153.80%2112228157
17Pittsburgh Penguins21000100642110000004131000010023-140.66761016001320641823203602625445120.00%10190.00%037975850.00%37977848.71%24846153.80%442546193316
18Quebec Nordiques220000001147110000006241100000052361.0001119300034408120283306222264915213.33%3166.67%037975850.00%37977848.71%24846153.80%503134163419
19Seattle Kraken11000000404110000004040000000000031.00045901112038919100241313224125.00%40100.00%037975850.00%37977848.71%24846153.80%2415198157
20St Louis Blues11000000312110000003120000000000031.000347000120265147039174215240.00%20100.00%037975850.00%37977848.71%24846153.80%2012238157
21Tampa Bay Lightning3300000013762200000010641100000031291.0001323360052609737283209032226711436.36%110100.00%137975850.00%37977848.71%24846153.80%653962275225
22Toronto Maple Leafs1010000023-11010000023-10000000000000.00023500011022551202213622300.00%3166.67%037975850.00%37977848.71%24846153.80%2212208179
23Winnipeg Jets1010000024-2000000000001010000024-200.000235001100358121503581020100.00%5180.00%037975850.00%37977848.71%24846153.80%2113228168
Total34151401211999271897001105241111667011014751-4520.5109916726612263239310473343633441210593443308361232621.14%1212281.82%437975850.00%37977848.71%24846153.80%754449733301569285
_Since Last GM Reset34151401211999271897001105241111667011014751-4520.5109916726612263239310473343633441210593443308361232621.14%1212281.82%437975850.00%37977848.71%24846153.80%754449733301569285
_Vs Conference241290021074677126400110383081265001003637-1400.556741292031021252717392442422487750248233576902022.22%851780.00%437975850.00%37977848.71%24846153.80%532318518211401202
_Vs Division9530010031265431000001578522001001619-3160.593315586001012902969787109328310510822338821.05%30873.33%037975850.00%37977848.71%24846153.80%2051241917714776

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3452W1991672661047105934433083612
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
34151412119992
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
189701105241
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
166711014751
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1232621.14%1212281.82%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
334363344122632393
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
37975850.00%37977848.71%24846153.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
754449733301569285


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 Devils4Philadelphia Flyers2LSommaire du match
59311Philadelphia Flyers4Edmonton Oilers3WXSommaire du match
62327Seattle Kraken0Philadelphia Flyers4WSommaire du match
63337Philadelphia Flyers3Anaheim Mighty Ducks4LSommaire du match
65351California Golden Seals5Philadelphia Flyers3LSommaire du match
67365Philadelphia Flyers5Quebec Nordiques2WSommaire du match
69381Montreal Canadiens1Philadelphia Flyers3WSommaire du match
71395Carolina Hurricanes2Philadelphia Flyers3WSommaire du match
73409Philadelphia Flyers2Pittsburgh Penguins3LXSommaire du match
77430Philadelphia Flyers2Winnipeg Jets4LSommaire du match
79443St Louis Blues1Philadelphia Flyers3WSommaire du match
81457Columbus Blue Jackets3Philadelphia Flyers1LSommaire du match
83464Tampa Bay Lightning2Philadelphia Flyers5WSommaire du match
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
Assistance85,23367,05431,04456,50418,160
Attendance PCT79.72%76.65%87.10%79.27%80.07%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
22 14333 - 79.63% 1,040,308$18,725,546$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
30,098,565$ 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$ 30,098,565$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
22,886,778$ 105 364,732$ 38,296,860$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
38,885,595$ 140,186,012$ 125,507,046$



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

[2026-04-15 2:37:38 PM] New Record for Team's Most Shots Blocked (17) in 1 Game for Philadelphia Flyers!
[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!



JONATHAN ANG est dehors pour 5 jours à cause de Bruised Right Leg Injury.
VILJAMI MARJALA est dehors pour 3 jours à cause de Left Wrist 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