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Connexion

Flyers
GP: 80 | W: 52 | L: 16 | OTL: 12 | P: 116
GF: 286 | GA: 214 | PP%: 22.46% | PK%: 86.56%
DG: Ian Belleau | Morale : 99 | Moyenne d’équipe : N/A
Prochains matchs #1205 vs Sabres

Centre de jeu
Flyers
52-16-12, 116pts
4
FINAL
2 Canadiens
32-44-4, 68pts
Team Stats
W11SéquenceW1
28-6-6Fiche domicile18-21-1
24-10-6Fiche visiteur14-23-3
10-0-0Derniers 10 matchs4-5-1
3.58Buts par match 2.46
2.68Buts contre par match 3.08
22.46%Pourcentage en avantage numérique16.19%
86.56%Pourcentage en désavantage numérique84.65%
Black Hawks
37-36-6, 80pts
4
FINAL
5 Flyers
52-16-12, 116pts
Team Stats
L1SéquenceW11
17-18-4Fiche domicile28-6-6
20-18-2Fiche visiteur24-10-6
6-3-1Derniers 10 matchs10-0-0
3.23Buts par match 3.58
3.35Buts contre par match 2.68
18.52%Pourcentage en avantage numérique22.46%
78.84%Pourcentage en désavantage numérique86.56%
Flyers
52-16-12, 116pts
Jour 83
Sabres
35-40-5, 75pts
Statistiques d’équipe
W11SéquenceL2
28-6-6Fiche domicile18-21-1
24-10-6Fiche visiteur17-19-4
10-0-010 derniers matchs3-7-0
3.58Buts par match 2.75
2.68Buts contre par match 2.75
22.46%Pourcentage en avantage numérique15.54%
86.56%Pourcentage en désavantage numérique77.16%
Flyers
52-16-12, 116pts
Jour 84
Kraken
47-31-3, 97pts
Statistiques d’équipe
W11SéquenceL1
28-6-6Fiche domicile24-15-1
24-10-6Fiche visiteur23-16-2
10-0-010 derniers matchs5-5-0
3.58Buts par match 3.07
2.68Buts contre par match 3.07
22.46%Pourcentage en avantage numérique18.78%
86.56%Pourcentage en désavantage numérique83.08%
Islanders
43-34-4, 90pts
Jour 86
Flyers
52-16-12, 116pts
Statistiques d’équipe
W3SéquenceW11
22-16-3Fiche domicile28-6-6
21-18-1Fiche visiteur24-10-6
6-3-110 derniers matchs10-0-0
2.72Buts par match 3.58
2.91Buts contre par match 3.58
23.21%Pourcentage en avantage numérique22.46%
78.95%Pourcentage en désavantage numérique86.56%
Meneurs d'équipe
Buts
Connor McDavid
44
Passes
Connor McDavid
47
Points
Connor McDavid
91
Plus/Moins
K'Andre Miller
36
Victoires
Igor Shesterkin
52
Pourcentage d’arrêts
Igor Shesterkin
0.909

Statistiques d’équipe
Buts pour
286
3.58 GFG
Tirs pour
2935
36.69 Avg
Pourcentage en avantage numérique
22.5%
62 GF
Début de zone offensive
43.6%
Buts contre
214
2.68 GAA
Tirs contre
2300
28.75 Avg
Pourcentage en désavantage numérique
86.6%%
34 GA
Début de la zone défensive
37.9%
Informations de l'équipe

Directeur généralIan Belleau
EntraîneurAndré Tourigny
DivisionMetropolitaine
ConférenceEst
CapitaineConnor McDavid
Assistant #1Mika Zibanejad
Assistant #2Charlie Coyle


Informations de l’aréna

NomWells Fargo Center
Capacité19,537
Assistance15,629
Billets de saison7,815


Informations de la formation

Équipe Pro20
Équipe Mineure21
Limite contact 41 / 250
Espoirs33


Plafond salarial

Cap Salarial de la Saison estimé90,252,309$
Plafond salarial disponible747,691$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour120,906,834$
Dépenses annuelles à ce jour84,144,480$
Revenus de la saison estimés6,045,342$
Dépenses de la saison estimées6,207,180$
Compte bancaire actuel260,072,670$
Compte bancaire projeté259,910,832$


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
1Connor McDavid (C)X100.0081448899718796928799896884757709900
2Alex DeBrincatXX100.0071548784587799873882846685747409900
3Frank VatranoXX100.0084557187747899843573907925747609900
4Artturi LehkonenXX100.0076439079677872843579867325737609900
5David KampfXXX100.0076439276706597658762598475727309900
6Eetu LuostarinenX100.0081448981707299665964688325666809900
7Charlie Coyle (A)XX100.0081458686827899799280818672818609900
8Barclay GoodrowXX100.0086787377816398658660578525758009900
9Kevin FialaXX100.0071427883687893903484856555717309900
10Joseph VelenoX100.0079549082716698707665687225646409900
11Chandler StephensonXXX100.0067538987757895839382727535727709900
12Mika Zibanejad (A)XXX100.0067438888768199928685837874798109900
13K'Andre MillerX100.0084568282808397652562508875666809900
14Joshua MorrisseyX100.0076438485709097892579536825747609900
15Rasmus AnderssonX100.0065528282778996802568538675707109900
16Jacob TroubaX100.0093777180798293652562489325788009900
17Nikita ZadorovX100.0089965680927296632554498025737409900
18Brayden McNabbX100.0083558676807899622561488925788309900
Rayé
MOYENNE D’ÉQUIPE100.007860817672708369496360744362630990
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
1Igor Shesterkin100.007986837579807480827987636509900
2Michael Hutchinson100.004847598048505154515130606109900
Rayé
MOYENNE D’ÉQUIPE100.00576067755657586259584956570990
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
André Tourigny65656565656565can537500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
#
Nom du joueur
Nom de l’équipe
POS
GP
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 McDavidFlyersC8044479117220692083409825712.94%14157719.7110919702390001298556.95%202300111.15170001241
2Mika ZibanejadFlyersC/LW/RW8037478426100411713169824111.71%13142317.79121426772210002342357.47%180100011.1805000653
3Frank VatranoFlyersLW/RW80373673247420187863308321611.21%14149518.70101222762460000236130.83%12000010.9802103694
4Charlie CoyleFlyersC/RW80294271164201431652829521810.28%15151919.00310136120310141669160.61%115000000.9312000825
5Alex DeBrincatFlyersLW/RW772339622033574652006217311.50%10133417.3351217452110000164134.57%8100100.9328001161
6Kevin FialaFlyersLW/RW80243256222209088245691659.80%7145718.2241115512350001173136.67%12000000.7701000248
7Joshua MorrisseyFlyersD8011395034320896274315114.86%64175421.93591442248011072500%000100.5700000142
8Rasmus AnderssonFlyersD77742492315859810032687.00%117178723.223811491860002212200%000000.5500010331
9Drew DoughtyPhantoms (PHI)D668384605401136513447795.97%99146422.1951015751820001128120%000000.6300000224
10K'Andre MillerFlyersD8043741369420171688832494.55%119169421.182810281240000188000%000000.4811022036
11Artturi LehkonenFlyersLW/RW73161531-52005175197461718.12%7100513.7726823122000002228.13%6400000.6200000120
12Chandler StephensonFlyersC/LW/RW7791928-511526138161401215.59%894812.32000000002360059.42%113600000.5900001012
13David KampfFlyersC/LW/RW794121626026788213444.88%1579810.110110410171822053.80%69700000.4015000000
14Eetu LuostarinenFlyersC798412-2120605076197210.53%1284910.750000000031823054.02%8700000.2800000001
15Nikita ZadorovFlyersD4411112090109624207115.00%3464914.7500015000119000%000000.3700020000
16Brayden McNabbFlyersD751111210315102504712382.13%72130217.370002280110192000%000100.1800100000
17Joseph VelenoFlyersC4974117255251751124913.73%24288.7500000000001058.06%3100000.5100100003
18Barclay GoodrowFlyersC/LW80459-3671591635426607.41%884910.610000001131890055.21%32600000.2100111011
19Jacob TroubaFlyersD21178026106413155156.67%2842020.03000111000155000%000000.3800002101
20Parker WotherspoonFlyersD36055251156113204130%2848613.510000000004000%000000.2100111000
21Joey AndersonPhantoms (PHI)RW31120000030233.33%1217.0300000000000033.33%300001.9000000000
22Vincent DesharnaisPhantoms (PHI)D6022000325020%88714.5100000000014000%000000.4600000000
23Garnet HathawayPhantoms (PHI)LW/RW8101-22010443625.00%1526.610000000000000%200000.3800000001
24Ty DellandreaPhantoms (PHI)C8101-30010741525.00%1729.100003190000200033.73%8300000.2700000000
25Axel Jonsson-FjallbyPhantoms (PHI)LW1000-100000000%077.6300000000000050.00%40000000000000
26Emil AndraePhantoms (PHI)D1000100100000%01212.420000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne142027849577319875511516881610284883521269.76%6972350116.55611101716042293235281788481656.12%772800430.666315711434644
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Igor ShesterkinFlyers805216120.9092.5748348520722850210.73330800866
2Michael HutchinsonFlyers10000.9292.07290011400000080000
Statistiques d’équipe totales ou en moyenne815216120.9102.574864852082299021308080866


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’équipe
POS
Âge
Date de naissance
Pays
Recrue
Poids
Taille
Non-échange
Disponible pour échange
Acquis Par
Date de la Dernière Transaction
Ballotage forcé
Waiver Possible
Contrat
Date du Signature du Contrat
Forcer UFA
Rappel d'urgence
Type
Salaire actuel
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire année 2
Salaire année 3
Salaire année 4
Salaire année 5
Salaire année 6
Salaire année 7
Salaire année 8
Salaire année 9
Salaire année 10
Plafond salarial année 2
Plafond salarial année 3
Plafond salarial année 4
Plafond salarial année 5
Plafond salarial année 6
Plafond salarial année 7
Plafond salarial année 8
Plafond salarial année 9
Plafond salarial année 10
Non-échange année 2
Non-échange année 3
Non-échange année 4
Non-échange année 5
Non-échange année 6
Non-échange année 7
Non-échange année 8
Non-échange année 9
Non-échange année 10
Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.8091 Kg188 CM1.804,511,933$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
90,238,667$51,297,000$21,547,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kevin FialaConnor McDavidFrank Vatrano32122
2Charlie CoyleMika ZibanejadAlex DeBrincat30122
3Eetu LuostarinenChandler StephensonArtturi Lehkonen22122
4Barclay GoodrowDavid KampfJoseph Veleno16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joshua MorrisseyK'Andre Miller36122
2Jacob TroubaRasmus Andersson36122
3Brayden McNabbNikita Zadorov28122
4K'Andre MillerJoshua Morrissey0014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kevin FialaConnor McDavidFrank Vatrano60005
2Charlie CoyleMika ZibanejadArtturi Lehkonen40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joshua MorrisseyAlex DeBrincat60005
2K'Andre MillerRasmus Andersson40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Charlie CoyleEetu Luostarinen50050
2Barclay GoodrowDavid Kampf50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brayden McNabbRasmus Andersson50140
2Jacob TroubaK'Andre Miller50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Charlie Coyle50050Brayden McNabbRasmus Andersson50140
2David Kampf50050K'Andre MillerJacob Trouba50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor McDavidFrank Vatrano50023
2Mika ZibanejadKevin Fiala50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joshua MorrisseyRasmus Andersson50032
2K'Andre MillerJacob Trouba50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Frank VatranoConnor McDavidMika ZibanejadRasmus AnderssonJoshua Morrissey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Barclay GoodrowCharlie CoyleDavid KampfBrayden McNabbK'Andre Miller
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Charlie Coyle, Mika Zibanejad, Frank VatranoConnor McDavid, Mika ZibanejadCharlie Coyle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
K'Andre Miller, Joshua Morrissey, Rasmus AnderssonK'Andre MillerJoshua Morrissey, Rasmus Andersson
Tirs de pénalité
Alex DeBrincat, Connor McDavid, David Kampf, K'Andre Miller, Mika Zibanejad
Gardien
#1 : Igor Shesterkin, #2 : Michael Hutchinson


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
Total
Domicile
Visiteur
#
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
1Avalanche1010000014-31010000014-30000000000000.000123000100228590356423100.00%20100.00%01702300356.68%1459261055.90%761127359.78%2316246126
2Black Hawks21000100880210001008800000000000030.75081523003320671921252561822374125.00%11372.73%01702300356.68%1459261055.90%761127359.78%513745142412
3Blues1010000046-2000000000001010000046-200.00048120011203013890349217100.00%10100.00%01702300356.68%1459261055.90%761127359.78%2215236136
4Bruins42101000161332010100089-12200000084460.75016294510726114760414421143244729222.22%21480.95%01702300356.68%1459261055.90%761127359.78%1067585285226
5Canadiens430000011367210000016422200000072570.87513223501733114862483689923279912325.00%90100.00%01702300356.68%1459261055.90%761127359.78%1067487285026
6Canucks11000000211000000000001100000021121.000246001100319913031126173266.67%30100.00%01702300356.68%1459261055.90%761127359.78%2618226115
7Capitals52201000201642110000098131101000118360.6002038580096411545454433113332810219421.05%12283.33%01702300356.68%1459261055.90%761127359.78%12788108386835
8Devils6510000021101122000000642431000001569100.83321365701106502799783990150445910120210.00%25388.00%11702300356.68%1459261055.90%761127359.78%168124116407439
9Ducks11000000321110000003210000000000021.0003690012003811189035146195240.00%3166.67%01702300356.68%1459261055.90%761127359.78%2417227127
10Flames11000000422000000000001100000042221.000481200112016646032131319300.00%40100.00%01702300356.68%1459261055.90%761127359.78%2115267116
11Golden Knights21000010936000000000002100001093641.00091524002241732417279501310436233.33%5180.00%01702300356.68%1459261055.90%761127359.78%533644152613
12Hurricanes64001010231310310010101073330000001367121.0002340630096622007167578209766711515640.00%25196.00%01702300356.68%1459261055.90%761127359.78%13895152447337
13Islanders431000001468220000009362110000053260.75014253901554015856614108522258930620.00%10370.00%01702300356.68%1459261055.90%761127359.78%1077682284926
14Jets1000000134-1000000000001000000134-110.5003690010214110111943044222150.00%20100.00%01702300356.68%1459261055.90%761127359.78%2720246126
15Kings1000010034-11000010034-10000000000010.50034700021040101810229103717300.00%5180.00%01702300356.68%1459261055.90%761127359.78%2619227136
16Lightning5300200023158310020001394220000001064101.000234467005610219967715741414130104321031.25%12375.00%01702300356.68%1459261055.90%761127359.78%13595104356435
17Maple Leafs41100101811-3210000013302010010058-340.500812200032301273635471512630208211218.18%8187.50%01702300356.68%1459261055.90%761127359.78%986896295125
18Oilers22000000862220000008620000000000041.00081220005120752222310451916385120.00%7185.71%01702300356.68%1459261055.90%761127359.78%523642142513
19Panthers42200000171612200000094520200000812-440.5001730470010250148624343017151347515320.00%120100.00%01702300356.68%1459261055.90%761127359.78%896097295225
20Penguins52100200171342110000074331000200109160.60017304700962016458544841244637972214.55%110100.00%11702300356.68%1459261055.90%761127359.78%13090111386634
21Predators1010000002-21010000002-20000000000000.000000000000253101203611428200.00%20100.00%01702300356.68%1459261055.90%761127359.78%2214257125
22Rangers43000010211382200000096321000010127581.00021365700794115053534251073843876116.67%13376.92%01702300356.68%1459261055.90%761127359.78%1037490275126
23Red Wings4200000211101220000007432000000246-260.7501120310044312106667661711425299612325.00%10370.00%01702300356.68%1459261055.90%761127359.78%1148483275126
24Sabres3020010047-32010010046-21010000001-110.1674711002020973023422851837657114.29%11190.91%01702300356.68%1459261055.90%761127359.78%795666203819
25Senateurs4310000018126220000009542110000097260.750183149008640168507345011933306819842.11%14192.86%01702300356.68%1459261055.90%761127359.78%1037587274824
26Sharks11000000202110000002020000000000021.00024601101023851002510817200.00%40100.00%01702300356.68%1459261055.90%761127359.78%2718206126
27Stars2110000011830000000000021100000118320.500111829004430702619250761635328112.50%8275.00%01702300356.68%1459261055.90%761127359.78%493345132513
28Wild1000010023-11000010023-10000000000010.500235002000351014922910615200.00%30100.00%01702300356.68%1459261055.90%761127359.78%2517256126
Total804416057352862147240236044121361053140211001323150109411160.725286505791141178180112935100195492487230067768315962766222.46%2533486.56%21702300356.68%1459261055.90%761127359.78%2063145717875731023524
_Since Last GM Reset804416057352862147240236044121361053140211001323150109411160.725286505791141178180112935100195492487230067768315962766222.46%2533486.56%21702300356.68%1459261055.90%761127359.78%2063145717875731023524
_Vs Conference62351205424226161653018404112109763332178013121178532920.742226400626139563619234982277371068175751251012522295222.71%1932587.05%21702300356.68%1459261055.90%761127359.78%161011401371444795407
_Vs Division301950222011671451392010105032181710301210663927480.8001162053210249382541105389372330207882592595911122017.86%961287.50%21702300356.68%1459261055.90%761127359.78%776548661217385198

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
80116W1128650579129352300677683159614
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8044165735286214
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
402364412136105
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4021101323150109
Derniers 10 matchs
WLOTWOTL SOWSOL
1000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2766222.46%2533486.56%2
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
100195492487117818011
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
1702300356.68%1459261055.90%761127359.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2063145717875731023524


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
111Bruins4Flyers5WXSommaire du match
219Devils2Flyers3WSommaire du match
344Hurricanes2Flyers3WSommaire du match
458Flyers2Penguins3LXSommaire du match
570Islanders1Flyers6WSommaire du match
688Black Hawks4Flyers3LXSommaire du match
797Flyers6Devils0WSommaire du match
8106Flyers5Capitals4WXSommaire du match
9128Rangers3Flyers5WSommaire du match
10146Capitals4Flyers3LSommaire du match
11151Lightning3Flyers4WXSommaire du match
12166Flyers5Hurricanes3WSommaire du match
13193Flyers5Hurricanes1WSommaire du match
14197Flyers6Golden Knights1WSommaire du match
15213Capitals4Flyers6WSommaire du match
16234Flyers2Devils1WSommaire du match
17251Sabres3Flyers2LSommaire du match
18267Flyers2Penguins3LXSommaire du match
19285Red Wings3Flyers4WSommaire du match
20295Lightning3Flyers5WSommaire du match
21309Flyers6Penguins3WSommaire du match
22325Hurricanes3Flyers4WXSommaire du match
23340Ducks2Flyers3WSommaire du match
24348Flyers0Sabres1LSommaire du match
25363Flyers0Red Wings1LXXSommaire du match
26385Bruins5Flyers3LSommaire du match
27400Flyers4Stars6LSommaire du match
28414Penguins3Flyers2LSommaire du match
29433Flyers6Senateurs3WSommaire du match
30446Flyers4Red Wings5LXXSommaire du match
31455Flyers3Maple Leafs5LSommaire du match
32468Senateurs2Flyers5WSommaire du match
33484Flyers4Panthers7LSommaire du match
34500Oilers3Flyers4WSommaire du match
35525Flyers5Lightning4WSommaire du match
36528Penguins1Flyers5WSommaire du match
37553Senateurs3Flyers4WSommaire du match
38558Flyers2Capitals3LSommaire du match
39579Predators2Flyers0LSommaire du match
40597Flyers3Senateurs4LSommaire du match
41603Flyers4Capitals1WSommaire du match
42621Panthers2Flyers4WSommaire du match
43636Avalanche4Flyers1LSommaire du match
44647Flyers2Devils3LSommaire du match
45663Lightning3Flyers4WXSommaire du match
46682Canadiens2Flyers5WSommaire du match
47701Flyers4Flames2WSommaire du match
48716Wild3Flyers2LXSommaire du match
49726Flyers7Stars2WSommaire du match
50743Flyers4Panthers5LSommaire du match
51754Flyers4Blues6LSommaire du match
52768Sabres3Flyers2LXSommaire du match
53785Flyers3Jets4LXXSommaire du match
54796Maple Leafs2Flyers1LXXSommaire du match
55812Flyers3Hurricanes2WSommaire du match
56833Flyers5Lightning2WSommaire du match
57835Panthers2Flyers5WSommaire du match
58856Canadiens2Flyers1LXXSommaire du match
59872Oilers3Flyers4WSommaire du match
60878Flyers2Canucks1WSommaire du match
61900Sharks0Flyers2WSommaire du match
63924Flyers2Islanders3LSommaire du match
64939Devils2Flyers3WSommaire du match
65958Flyers5Devils2WSommaire du match
66973Flyers3Canadiens0WSommaire du match
67981Flyers3Islanders0WSommaire du match
68994Islanders2Flyers3WSommaire du match
691013Kings4Flyers3LXSommaire du match
701038Flyers2Maple Leafs3LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
711049Red Wings1Flyers3WSommaire du match
721054Flyers3Golden Knights2WXXSommaire du match
731077Flyers4Bruins2WSommaire du match
741088Maple Leafs1Flyers2WSommaire du match
751104Flyers6Rangers5WXXSommaire du match
761119Rangers3Flyers4WSommaire du match
771132Flyers6Rangers2WSommaire du match
781146Hurricanes2Flyers3WXXSommaire du match
791162Flyers4Bruins2WSommaire du match
801170Flyers4Canadiens2WSommaire du match
821196Black Hawks4Flyers5WSommaire du match
831205Flyers-Sabres-
841220Flyers-Kraken-
861250Islanders-Flyers-
871254Rangers-Flyers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000353740001000
Prix des billets180140125100300
Assistance226,201156,66181,437123,49737,350
Attendance PCT94.25%78.33%57.56%77.19%93.38%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 15629 - 80.00% 3,022,671$120,906,834$19537125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
84,144,480$ 91,038,667$ 8,650,000$ 500,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,034,530$ 84,045,129$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,045,342$ 6 1,034,530$ 6,207,180$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
6,207,180$ 260,072,670$ 259,910,832$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
90,252,309$ 747,691$ 91,000,000$ 41,252,309$



Charte de profondeur

Ailier gaucheCentreAilier droit
Alex DeBrincatAGE:27PO:0OV:0
Frank VatranoAGE:31PO:0OV:0
Artturi LehkonenAGE:30PO:0OV:0
David KampfAGE:30PO:0OV:0
Barclay GoodrowAGE:32PO:0OV:0
Timothy GettingerAGE:27PO:0OV:0
Tyler BensonAGE:27PO:0OV:0
Kevin FialaAGE:29PO:0OV:0
Garnet HathawayAGE:33PO:0OV:0
Axel Jonsson-FjallbyAGE:27PO:0OV:0
Yegor SokolovAGE:25PO:0OV:0
Chandler StephensonAGE:31PO:0OV:0
Matej PekarAGE:25PO:0OV:0
Mika ZibanejadAGE:32PO:0OV:0
Connor McDavidAGE:28PO:0OV:0
David KampfAGE:30PO:0OV:0
Eetu LuostarinenAGE:26PO:0OV:0
Charlie CoyleAGE:33PO:0OV:0
Barclay GoodrowAGE:32PO:0OV:0
Jan JenikAGE:24PO:0OV:0
Oskar SteenAGE:27PO:0OV:0
Zayde Wisdom (R)AGE:23PO:0OV:0
Joseph VelenoAGE:25PO:0OV:0
Karl Henriksson (R)AGE:24PO:0OV:0
Chandler StephensonAGE:31PO:0OV:0
Ty DellandreaAGE:25PO:0OV:0
Matej PekarAGE:25PO:0OV:0
Mika ZibanejadAGE:32PO:0OV:0
Alex DeBrincatAGE:27PO:0OV:0
Frank VatranoAGE:31PO:0OV:0
Artturi LehkonenAGE:30PO:0OV:0
Joey AndersonAGE:27PO:0OV:0
David KampfAGE:30PO:0OV:0
Charlie CoyleAGE:33PO:0OV:0
Kevin FialaAGE:29PO:0OV:0
Garnet HathawayAGE:33PO:0OV:0
Mackenzie EntwistleAGE:26PO:0OV:0
Yegor SokolovAGE:25PO:0OV:0
Tyler Tullio (R)AGE:23PO:0OV:0
Chandler StephensonAGE:31PO:0OV:0
Mika ZibanejadAGE:32PO:0OV:0

Défense #1Défense #2Gardien
K'Andre MillerAGE:25PO:0OV:0
Joshua MorrisseyAGE:30PO:0OV:0
Rasmus AnderssonAGE:28PO:0OV:0
Drew DoughtyAGE:35PO:0OV:0
Parker WotherspoonAGE:28PO:0OV:0
Jacob TroubaAGE:31PO:0OV:0
Ronnie AttardAGE:26PO:0OV:0
Nikita ZadorovAGE:30PO:0OV:0
Vincent DesharnaisAGE:29PO:0OV:0
Brayden McNabbAGE:34PO:0OV:0
Declan ChisholmAGE:25PO:0OV:0
Emil Andrae (R)AGE:23PO:0OV:0
Igor ShesterkinAGE:29PO:0OV:0
Michael HutchinsonAGE:35PO:0OV:0
Tyler ParsonsAGE:27PO:0OV:0

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
Espoir
Nom de l’équipe
Année de repêchage
Choix total
Information
Date de la Dernière Transaction
Lien
Albin GreweFlyers00
Alex CottonFlyers00
Alexis GravelFlyers00
Andrew GibsonFlyers5358
Charlie StramelFlyers5329F|8484231|0|0Lien
Cole FonstadFlyers00
Damian GirouxFlyers00
Danill MisyulFlyers00
Dustyn McFaulFlyers00
Dylan DukeFlyers00F|8482663|0|0
Eamon PowellFlyers00
Erik FlorchukFlyers00
Erik PortilloFlyers00G|8481707|0|0
Frederic BrunetFlyers52105
Gavin HayesFlyers5280
Henrik BorgstromFlyers00
Ivan ZhigalovFlyers00
Jachym KondelikFlyers00
Jack SparkesFlyers52135
Jake WiseFlyers00
Jonathan DahlenFlyers00
Judd CaulfieldFlyers00
Justin ErtelFlyers00
Koehn ZiemmerFlyers5344
Luka BarzanFlyers00
Markus PhillipsFlyers00
Maxim GroshevFlyers00
Michael CallowFlyers52103
Nathan LégaréFlyers00F|8481594|0|0
Niklas KokkoFlyers5276
Sutter MuzzattiFlyers53148
Tyler BrennanFlyers5245
Will CranleyFlyers00

Choix au repêchage

Année R1R2R3R4R5R6
55PHI PHI PHI
56PHI PHI PHI PHI PHI PHI
57PHI PHI PHI PHI PHI PHI
58PHI PHI PHI PHI PHI PHI
59PHI PHI PHI PHI PHI PHI
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.




Flyers Historique de transactions

[2025-03-14 17:28:45] Charlie Coyle has been selected as assistant for Flyers.
[2025-03-14 17:28:45] Mika Zibanejad is no longer as assistant for Flyers.
[2025-03-14 17:28:45] Mika Zibanejad has been selected as assistant for Flyers.
[2025-03-14 17:28:45] Unknown Player is no longer as assistant for Flyers.
[2025-02-17 21:15:31] Drew Doughty has been selected as assistant for Flyers.
[2025-02-17 21:15:31] Charlie Coyle is no longer as assistant for Flyers.
[2025-02-16 16:52:25] TRADE : From Maple Leafs to Flyers : Emil Andrae.
[2025-02-16 16:52:25] TRADE : From Flyers to Maple Leafs : Trent Frederic.
[2025-02-16 16:51:23] Mika Zibanejad has been selected as assistant for Flyers.
[2025-02-16 16:51:23] Charlie Coyle is no longer as assistant for Flyers.
[2025-02-16 16:51:23] Charlie Coyle has been selected as assistant for Flyers.
[2025-02-16 16:51:23] Connor McDavid is no longer as assistant for Flyers.
[2025-02-16 16:51:23] Connor McDavid has been selected as captain for Flyers.
[2025-02-16 16:51:23] Unknown Player is no longer captain for Flyers.
[2025-02-09 17:50:42] Charlie Coyle has been selected as assistant for Flyers.
[2025-02-09 17:50:42] Unknown Player is no longer as assistant for Flyers.
[2025-02-09 17:50:42] Connor McDavid has been selected as assistant for Flyers.
[2025-02-09 17:50:42] Unknown Player is no longer as assistant for Flyers.
[2025-02-09 17:50:42] Drew Doughty has been selected as captain for Flyers.
[2025-02-09 17:50:42] Unknown Player is no longer captain for Flyers.
[2025-02-08 14:12:25] TRADE : From Flyers to Hurricanes : Ryan Greene (P).
[2025-02-07 19:12:02] TRADE : From Hurricanes to Flyers : Connor McDavid, Nikita Zadorov.
[2025-02-07 19:12:02] TRADE : From Flyers to Hurricanes : Carter Verhaeghe, Kyle Connor, Ivan Provorov, William Wallinder (P), Y:55-RND:2-NJD, Y:55-RND:2-WIN.
[2025-01-30 18:46:23] TRADE : From Flyers to Canucks : Jack Johnson.
[2025-01-30 18:46:23] TRADE : From Canucks to Flyers : 1 500 000 $ (Money).
[2025-01-29 19:34:46] TRADE : From Flyers to Capitals : Hendrix Lapierre, Y:55-RND:1-WIN.
[2025-01-29 19:34:46] TRADE : From Capitals to Flyers : Rasmus Andersson.
[2025-01-24 19:11:28] New Record for Team's Most Shots (66) in 1 Game for Flyers!
[2025-01-21 19:06:39] TRADE : From Jets to Flyers : Niklas Kokko (P), Y:55-RND:1-WIN.
[2025-01-21 19:06:39] TRADE : From Flyers to Jets : Jonathan Huberdeau, Brett Leason, Y:55-RND:2-PHI.
[2025-01-15 18:44:41] TRADE : From Flyers to Devils : Yegor Chinakhov, Kyle Burroughs, Tom Willander (P), Marco Kasper (P), Y:55-RND:1-PHI, Y:55-RND:3-BUF.
[2025-01-15 18:44:41] TRADE : From Devils to Flyers : Ty Dellandrea, Ivan Provorov, Declan Chisholm, Kevin Fiala, Y:55-RND:2-NJD.
[2024-12-24 13:47:37] Flyers was eliminated at round 2 of year 54.
[2024-09-10 20:06:42] TRADE : From Flyers to Jets : Danton Heinen, Sammy Blais, Liam O'Brien, Emil Bemstrom.
[2024-09-10 20:06:42] TRADE : From Jets to Flyers : Y:55-RND:2-WIN.
[2024-09-01 15:27:23] Ronnie Attard was added to Flyers.
[2024-08-25 16:55:14] Vincent Desharnais was added to Flyers.



Pas de blessure ou de suspension.


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

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

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

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

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