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Philadelphia Flyers
GP: 57 | W: 29 | L: 23 | OTL: 5 | P: 85
GF: 150 | GA: 147 | PP%: 18.14% | PK%: 82.38%
DG: Brad | Morale : 40 | Moyenne d’équipe : 75
Prochains matchs #801 vs Pittsburgh Penguins

Centre de jeu
Montreal Canadiens
22-32-3, 65pts
1
2 Philadelphia Flyers
29-23-5, 85pts
Team Stats
OTL1SéquenceW4
13-13-2Fiche domicile15-14-1
9-19-1Fiche visiteur14-9-4
6-3-1Derniers 10 matchs6-4-0
2.56Buts par match 2.63
3.04Buts contre par match 2.58
17.60%Pourcentage en avantage numérique18.14%
75.00%Pourcentage en désavantage numérique82.38%
Philadelphia Flyers
29-23-5, 85pts
2
1 Carolina Hurricanes
29-23-5, 83pts
Team Stats
W4SéquenceL2
15-14-1Fiche domicile14-11-4
14-9-4Fiche visiteur15-12-1
6-4-0Derniers 10 matchs5-4-1
2.63Buts par match 2.63
2.58Buts contre par match 2.58
18.14%Pourcentage en avantage numérique14.98%
82.38%Pourcentage en désavantage numérique83.50%
Pittsburgh Penguins
34-21-2, 96pts
Jour 140
Philadelphia Flyers
29-23-5, 85pts
Statistiques d’équipe
W1SéquenceW4
17-11-1Fiche domicile15-14-1
17-10-1Fiche visiteur14-9-4
6-3-110 derniers matchs6-4-0
2.84Buts par match 2.63
2.51Buts contre par match 2.63
16.24%Pourcentage en avantage numérique18.14%
82.78%Pourcentage en désavantage numérique82.38%
Philadelphia Flyers
29-23-5, 85pts
Jour 144
California Golden Seals
28-22-6, 86pts
Statistiques d’équipe
W4SéquenceW2
15-14-1Fiche domicile14-11-4
14-9-4Fiche visiteur14-11-2
6-4-010 derniers matchs6-3-1
2.63Buts par match 2.70
2.58Buts contre par match 2.70
18.14%Pourcentage en avantage numérique25.53%
82.38%Pourcentage en désavantage numérique79.70%
Winnipeg Jets
27-22-7, 81pts
Jour 147
Philadelphia Flyers
29-23-5, 85pts
Statistiques d’équipe
W1SéquenceW4
14-10-3Fiche domicile15-14-1
13-12-4Fiche visiteur14-9-4
4-5-110 derniers matchs6-4-0
2.66Buts par match 2.63
2.80Buts contre par match 2.63
18.72%Pourcentage en avantage numérique18.14%
77.24%Pourcentage en désavantage numérique82.38%
Meneurs d'équipe
Elias PetterssonButs
Elias Pettersson
22
Elias PetterssonPasses
Elias Pettersson
33
Elias PetterssonPoints
Elias Pettersson
55
Plus/Moins
Dmitry Kulikov
7
Victoires
Ville Husso
18
Pourcentage d’arrêts
Vitek Vanecek
0.921

Statistiques d’équipe
Buts pour
150
2.63 GFG
Tirs pour
1746
30.63 Avg
Pourcentage en avantage numérique
18.1%
37 GF
Début de zone offensive
38.0%
Buts contre
147
2.58 GAA
Tirs contre
1708
29.96 Avg
Pourcentage en désavantage numérique
82.4%%
40 GA
Début de la zone défensive
39.2%
Informations de l'équipe

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


Informations de l’aréna

NomWells Fargo Center
Capacité18,000
Assistance14,219
Billets de saison7,740


Informations de la formation

Équipe Pro21
Équipe Mineure26
Limite contact 47 / 250
Espoirs59


Finance

Revenu annuel à ce jour31,031,257$
Dépenses annuelles à ce jour50,158,825$
Revenus de la saison estimés10,343,752$
Dépenses de la saison estimées18,236,600$
Compte bancaire actuel133,022,700$
Compte bancaire projeté125,442,669$


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 McDavid0X99.0080498792769799939995907988778255408402815,333,333$
2Elias Pettersson0X100.00644292997294979092909074867377404082N02636,650,000$
3Brock Boeser0X100.0074498493729191856790907086778055408002818,280,333$
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 Fleury0X99.0075528884858383835089708170778355407802821,950,000$
14Nikita Zaitsev0X97.8390467979848989745076637963818255407703321,750,000$
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 Haas0X97.007544688265777668737171667381695540690332850,000$
2Lance Bouma0X100.0081487666788182677171696369847555406903511,150,000$
3Nathan Bastian0X100.009256657592747262746466716874745540690271600,000$
4Stephane Da Costa0X100.006537798056777768757369637384765540690351955,000$
5BRIAN O'NEILL0X97.005233707857606069767266676988945240670371250,000$
6Michael Frolik0X100.005341757371767666646968596786765540670371500,000$
7VILJAMI MARJALA0X99.005433738767606073647863637262625240670221275,000$
8Yanni Gourde0X98.006039738546807765706769657281655540670331900,000$
9Ryan Winterton (R)0X100.006046807883707860546062736563685540660212800,000$
10Michael Pezzetta0X100.009768556379727760676362666176725540650272950,000$
11Riley Tufte0X100.005657706297697460706263736274715540650273500,000$
12Tim Gettinger0X100.007354776290687360686063726174725540650272600,000$
13Cale Fleury0X100.007552837288748067526462726073835540710264624,000$
14Samuel Bolduc (R)0X100.007156827096758067506665716170815540710241600,000$
15ATRO LEPPANEN0X100.005543788974606072487971687171815240700261510,000$
16LINUS HULTSTROM0X100.005445787768606071487968676778875240680321250,000$
17Connor Mackey0X99.0065504079786969675069636562756655406702811,667,000$
18Raphael Diaz0X100.0054428769687575655769596560908055406703911,000,000$
19JAAKKO RISSANEN0X100.005138697371606074707566697084935240680351500,500$
20JONATHAN ANG0X100.005329608760606071707472647572725240680271300,000$
21LUKAS ELVENES0X90.335333588667606072697962607169695240670251350,000$
22Isaak Phillips (R)0X100.007858837789778569507264716468815540720231500,000$
23Justin Holl0X100.005546837986788371507067756581805540720331950,000$
24Guillaume Brisebois0X100.005539858752696863506361676374655540660273500,000$
MOYENNE D’ÉQUIPE99.45694677797477787164746970697876544071
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 Vanecek099.008880838283828383838282786455407902912,250,000$
2Ville Husso099.007775788481818282828180796355407703034,000,000$
Rayé
Équipe Mineure
1Keith Kinkaid096.007971718277787977777878856755407503521,250,000$
2CLAY STEVENSON099.00726060777674767676757568565040700261250,000$
MOYENNE D’ÉQUIPE98.2579727381797980808079797863544075
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 FlyersLW57223355-410055822205013610.00%23118420.7961420331760001774147.22%1085417000.9327000732
2Connor McDavidPhiladelphia FlyersC5720315114115116138202721229.90%32127822.44610162816410141511454.42%17444224000.8057012354
3Brock BoeserPhiladelphia FlyersRW5719244304010104761704510311.18%22104918.415914231661011212244.16%773815000.8235002145
4Jeff SkinnerPhiladelphia FlyersRW5717203712359468133419712.78%24104218.286612201540222475045.71%703014000.7114001305
5Brendan GallagherPhiladelphia FlyersLW57142034-14151089015375969.15%2197017.02369151471014512137.50%405011100.7002100131
6Andrei LoktionovPhiladelphia FlyersC57812201135456810139567.92%1784614.862356800006870248.72%5481216000.4700001033
7Haydn FleuryPhiladelphia FlyersD5541519038107412010942503.67%76146326.61178181940004169020%02647000.2601110000
8Vinnie HinostrozaPhiladelphia FlyersLW57810183140815410927667.34%1468512.020001200005722039.29%282012000.5312000211
9Michael RasmussenPhiladelphia FlyersC579716-368201028166314713.64%1579914.032354781012382043.28%5431013000.4000013010
10Nikita ZaitsevPhiladelphia FlyersD54510152735121937524256.67%81129824.0412371020003151110%01546000.2300100100
11Dmitry KulikovPhiladelphia FlyersD5721214737592875926153.39%60119620.98213121130110146000%01728000.2300001010
12Evgenii DadonovPhiladelphia FlyersRW5731013235581357228554.17%661810.86011219000160038.89%181510100.4200100000
13Brett ConnollyPhiladelphia FlyersLW575611439577446324457.94%1657210.050000201131133047.37%19610000.3812100013
14Jake BeanPhiladelphia FlyersD5037105181040784730276.38%3187617.533146126000166010%01620000.2300002010
15Jake LeschyshynPhiladelphia FlyersC5736922010554329173110.34%64588.05000000002301043.29%16464000.3900011000
16Jakub ZborilPhiladelphia FlyersD30099-513532333119160%2657719.24011157000040000%0222000.3100100010
17Colin MillerPhiladelphia FlyersD48077-339547363115210%4468114.19000135011069000%0629000.2100001000
18Nick LeddyPhiladelphia FlyersD5215628014613017163.33%3981015.59000250000193000%01223000.1500000000
19Nicklas BackstromPhiladelphia FlyersRW53235020028274622424.35%84518.520000120001311063.64%22103000.2200000001
Statistiques d’équipe totales ou en moyenne10261452473921459012013661314174664410668.30%5611686116.4337641011791703459411470241450.13%3381387364200.4613306414182425
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 Flyers35181240.9152.3620370280936454310.750123423522
2Vitek VanecekPhiladelphia Flyers25111110.9212.5714262161768360030.667182334233
Statistiques d’équipe totales ou en moyenne60292350.9172.44346323141170481434305757755


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$478,723$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$784,574$0$0$No---------------------------Lien
Brett ConnollyPhiladelphia FlyersLW331992-05-02CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,100,000$292,553$0$0$No---------------------------
Brock Boeser (contrat à 1 volet)Philadelphia FlyersRW281997-02-25USANo207 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm8,280,333$2,202,216$0$0$No---------------------------Lien
Colin Miller (contrat à 1 volet)Philadelphia FlyersD321992-10-29CANNo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,500,000$664,894$0$0$No---------------------------Lien
Connor McDavid (contrat à 1 volet)Philadelphia FlyersC281997-01-13CANNo194 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm5,333,333$1,418,440$0$0$No---------------------------Lien
Dmitry Kulikov (contrat à 1 volet)Philadelphia FlyersD341990-10-29RUSNo198 Lbs6 ft1NoNoFree AgentNoNo12025-10-10FalseFalsePro & Farm3,005,000$799,202$0$0$No---------------------------Lien
Elias Pettersson (contrat à 1 volet)Philadelphia FlyersLW261998-11-12SWENo185 Lbs6 ft2YesNoAssign ManuallyNoNo32025-09-30FalseFalsePro Only6,650,000$1,768,617$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$970,878$0$0$No---------------------------Lien
Haydn FleuryPhiladelphia FlyersD281996-07-08CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,950,000$518,617$0$0$No1,950,000$--------1,950,000$--------No--------Lien
Jake BeanPhiladelphia FlyersD271998-06-09CANNo176 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm2,000,000$531,915$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$212,766$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$514,628$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$1,090,426$0$0$No4,100,000$--------4,100,000$--------No--------Lien
Michael RasmussenPhiladelphia FlyersC261999-04-17CANNo212 Lbs6 ft6NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,850,000$492,021$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$492,021$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$232,713$0$0$No---------------------------Lien
Nikita Zaitsev (contrat à 1 volet)Philadelphia FlyersD331991-10-29RUSNo192 Lbs6 ft2NoNoFree AgentNoNo22025-10-10FalseFalsePro & Farm1,750,000$465,426$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$1,063,830$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$771,277$0$0$No---------------------------Lien
Vitek VanecekPhiladelphia FlyersG291996-01-09CZENo183 Lbs6 ft2NoNoFree AgentNoNo12025-10-17FalseFalsePro & Farm2,250,000$598,404$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 Boeser40023
2Brendan GallagherMichael RasmussenJeff Skinner30023
3Vinnie HinostrozaAndrei LoktionovEvgenii Dadonov20023
4Brett ConnollyJake LeschyshynNicklas Backstrom10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryNikita Zaitsev40041
2Dmitry KulikovJake Bean30041
3Colin MillerNick Leddy20023
4Nick LeddyJake Bean10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Elias PetterssonAndrei LoktionovBrock Boeser60014
2Brendan GallagherConnor McDavidEvgenii Dadonov40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick LeddyNikita Zaitsev60014
2Colin MillerJake Bean40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael RasmussenBrett Connolly60041
2Jake LeschyshynJeff Skinner40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryNikita Zaitsev60041
2Dmitry KulikovColin Miller40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andrei Loktionov60041Haydn FleuryNikita Zaitsev60041
2Elias Pettersson40041Nick LeddyDmitry Kulikov40041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andrei LoktionovElias Pettersson60023
2Michael RasmussenJeff Skinner40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Haydn FleuryNikita Zaitsev60023
2Nick LeddyJake Bean40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Elias PetterssonConnor McDavidBrock BoeserHaydn FleuryNikita Zaitsev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett ConnollyAndrei LoktionovJeff SkinnerNick LeddyDmitry Kulikov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vinnie Hinostroza, Evgenii Dadonov, Andrei LoktionovNicklas Backstrom, Evgenii DadonovVinnie Hinostroza
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitry Kulikov, Nick Leddy, Colin MillerDmitry KulikovNick Leddy, Colin Miller
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
Brock Boeser, Elias Pettersson, Connor McDavid, Jeff Skinner, Brendan Gallagher, Michael Rasmussen, Vinnie Hinostroza, Evgenii Dadonov, Andrei Loktionov, Jake Leschyshyn
Lignes de défense personnalisées en prolongation
Haydn Fleury, Nikita Zaitsev, Colin Miller, 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
1Anaheim Mighty Ducks2020000046-21010000012-11010000034-100.0004610002020562415170662125411516.67%10190.00%0639127150.28%650130949.66%40676253.28%442442183316
2Boston Bruins30200100714-720100100410-61010000034-110.1117111800322096362733011326267215320.00%8537.50%1639127150.28%650130949.66%40676253.28%694165254825
3California Golden Seals1010000035-21010000035-20000000000000.00035800102024106802981424100.00%7357.14%0639127150.28%650130949.66%40676253.28%2010229178
4Carolina Hurricanes32100000880110000003212110000056-160.667815231044009130412001072021677228.57%80100.00%0639127150.28%650130949.66%40676253.28%674261255125
5Chicago Blackhawks2010000136-31010000013-21000000123-110.16735810102163201924460916603133.33%80100.00%0639127150.28%650130949.66%40676253.28%442544193516
6Colorado Avalanche211000005411010000012-11100000042230.500591400014059162320067161337300.00%4250.00%0639127150.28%650130949.66%40676253.28%392346183416
7Columbus Blue Jackets1010000013-21010000013-20000000000000.00011200001031419803212832300.00%4175.00%0639127150.28%650130949.66%40676253.28%2213219167
8Detroit Red Wings2110000045-1110000002021010000025-330.5004812010130601914270551948576116.67%9277.78%0639127150.28%650130949.66%40676253.28%462639173417
9Edmonton Oilers20001010642100000102111000100043140.66768140012157122242486818853400.00%40100.00%0639127150.28%650130949.66%40676253.28%442748163216
10Florida Panthers3120000047-32020000026-41100000021130.333459100130892929310923430718112.50%15473.33%1639127150.28%650130949.66%40676253.28%653864265024
11Hamilton Mustangs2020000027-51010000023-11010000004-400.0002350011006117242007230843300.00%4175.00%0639127150.28%650130949.66%40676253.28%422646153115
12Los Angeles Kings20000011550100000103211000000123-130.50056110011246916192716521918504125.00%9188.89%0639127150.28%650130949.66%40676253.28%442547193718
13Montreal Canadiens330000001156220000005231100000063391.0001120310044309644203209019398211218.18%13284.62%0639127150.28%650130949.66%40676253.28%694261264824
14New Jersey Devils30200100511-61010000024-22010010037-410.11151015000230843038151783026901218.33%8275.00%0639127150.28%650130949.66%40676253.28%673863275327
15New York Islanders321000005321010000001-12200000052360.66759140021208530233208323286110110.00%14192.86%0639127150.28%650130949.66%40676253.28%653864274924
16New York Rangers320000101266210000106421100000062480.8891219310125418819363146631396915213.33%170100.00%1639127150.28%650130949.66%40676253.28%643668285226
17Ottawa Senators20200000510-51010000023-11010000037-400.0005914002120672616250622134448337.50%12466.67%0639127150.28%650130949.66%40676253.28%432644183215
18Pittsburgh Penguins21000100642110000004131000010023-140.66761016001320641823203602625445120.00%10190.00%0639127150.28%650130949.66%40676253.28%442546193316
19Quebec Nordiques320000101578110000006242100001095480.88915254000446111434344559635437321523.81%9366.67%0639127150.28%650130949.66%40676253.28%734458265229
20San Jose Sharks1010000023-11010000023-10000000000000.00023500002023698014810305120.00%5260.00%0639127150.28%650130949.66%40676253.28%2312169199
21Seattle Kraken21000010615110000004041000001021150.8336713011222651826186452121529222.22%8187.50%0639127150.28%650130949.66%40676253.28%482840193517
22St Louis Blues11000000312110000003120000000000031.000347000120265147039174215240.00%20100.00%0639127150.28%650130949.66%40676253.28%2012238157
23Tampa Bay Lightning3300000013762200000010641100000031291.0001323360052609737283209032226711436.36%110100.00%1639127150.28%650130949.66%40676253.28%653962275225
24Toronto Maple Leafs211000006511010000023-11100000042230.50061117000240481415190543022376116.67%11281.82%0639127150.28%650130949.66%40676253.28%412445183215
25Vancouver Canucks21001000633110000004221000100021150.83361016000321591424192632026519222.22%8187.50%0639127150.28%650130949.66%40676253.28%442542193517
26Vegas Golden Knights1010000013-2000000000001010000013-200.0001231001002559110208818400.00%40100.00%0639127150.28%650130949.66%40676253.28%20102010189
27Winnipeg Jets1010000024-2000000000001010000024-200.000235001100358121503581020100.00%5180.00%0639127150.28%650130949.66%40676253.28%2113228168
Total572223023521501473301214001307571427109022227576-1850.4971502473974336456215174655158758849170856159213662043718.14%2274082.38%4639127150.28%650130949.66%40676253.28%12687461229518973483
_Since Last GM Reset572223023521501473301214001307571427109022227576-1850.4971502473974336456215174655158758849170856159213662043718.14%2274082.38%4639127150.28%650130949.66%40676253.28%12687461229518973483
_Vs Conference35171300320999451888001104847117950021051474580.5529917026921283237210803643543551310633573638201322619.70%1402582.14%4639127150.28%650130949.66%40676253.28%782465750312588294
_Vs Division1475001104538774300000211477320011024240240.57145781230012151714501531321618434161171323541222.22%591377.97%0639127150.28%650130949.66%40676253.28%315190302124231117

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5785W415024739717461708561592136643
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5722232352150147
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30121401307571
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2710922227576
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2043718.14%2274082.38%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
5515875884936456215
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
639127150.28%650130949.66%40676253.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12687461229518973483


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 Flyers3New York Islanders1WSommaire du match
88492New York Rangers0Philadelphia Flyers1WSommaire du match
92513Philadelphia Flyers2Los Angeles Kings3LXXSommaire du match
93520Los Angeles Kings2Philadelphia Flyers3WXXSommaire du match
95534Vancouver Canucks2Philadelphia Flyers4WSommaire du match
98555Philadelphia Flyers2Vancouver Canucks1WXSommaire du match
100569Philadelphia Flyers1Vegas Golden Knights3LSommaire du match
102583San Jose Sharks3Philadelphia Flyers2LSommaire du match
105599Ottawa Senators3Philadelphia Flyers2LSommaire du match
107610Philadelphia Flyers4Toronto Maple Leafs2WSommaire du match
111628Hamilton Mustangs3Philadelphia Flyers2LSommaire du match
113631Philadelphia Flyers2New Jersey Devils3LXSommaire du match
116650Boston Bruins7Philadelphia Flyers2LSommaire du match
120670Florida Panthers3Philadelphia Flyers1LSommaire du match
122680Anaheim Mighty Ducks2Philadelphia Flyers1LSommaire du match
124699Philadelphia Flyers2Seattle Kraken1WXXSommaire du match
126712Edmonton Oilers1Philadelphia Flyers2WXXSommaire du match
128723Chicago Blackhawks3Philadelphia Flyers1LSommaire du match
129731Philadelphia Flyers2Detroit Red Wings5LSommaire du match
131745Philadelphia Flyers4Colorado Avalanche2WSommaire du match
134758Philadelphia Flyers4Quebec Nordiques3WXXSommaire du match
136772Montreal Canadiens1Philadelphia Flyers2WSommaire du match
138791Philadelphia Flyers2Carolina Hurricanes1WSommaire du match
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
Assistance141,860111,35448,93694,36530,040
Attendance PCT79.61%76.37%82.38%79.43%79.47%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 14219 - 78.99% 1,034,375$31,031,257$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
50,158,825$ 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$ 50,158,825$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
10,343,752$ 50 364,732$ 18,236,600$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
18,516,950$ 133,022,700$ 125,442,669$



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

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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

[2026-06-07 11:34:49 AM] New Record for Team's Most Penalties Minutes (25) in 1 Game for Philadelphia Flyers!
[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!



LUKAS ELVENES est dehors pour 5 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