Connexion

Flyers
GP: 9 | W: 6 | L: 2 | OTL: 1 | P: 13
GF: 20 | GA: 12 | PP%: 16.13% | PK%: 93.10%
DG: Mike | Morale : 1 | Moyenne d’équipe : 83
Prochains matchs #56 vs Canadiens
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Centre de jeu
Flyers
6-2-1, 13pts
3
FINAL
4 Hurricanes
6-1-2, 14pts
Team Stats
W1SéquenceW2
3-1-0Fiche domicile4-0-0
3-1-1Fiche visiteur2-1-2
6-2-1Derniers 10 matchs6-1-2
2.22Buts par match 2.00
1.33Buts contre par match 1.44
16.13%Pourcentage en avantage numérique18.18%
93.10%Pourcentage en désavantage numérique88.10%
Flyers
6-2-1, 13pts
3
FINAL
1 Lightning
2-5-1, 5pts
Team Stats
W1SéquenceL1
3-1-0Fiche domicile2-3-0
3-1-1Fiche visiteur0-2-1
6-2-1Derniers 10 matchs2-5-1
2.22Buts par match 1.38
1.33Buts contre par match 2.63
16.13%Pourcentage en avantage numérique9.09%
93.10%Pourcentage en désavantage numérique79.17%
Canadiens
5-5-0, 10pts
2024-11-20
Flyers
6-2-1, 13pts
Statistiques d’équipe
L1SéquenceW1
3-1-0Fiche domicile3-1-0
2-4-0Fiche visiteur3-1-1
5-5-010 derniers matchs6-2-1
1.80Buts par match 2.22
1.70Buts contre par match 2.22
10.00%Pourcentage en avantage numérique16.13%
88.89%Pourcentage en désavantage numérique93.10%
Hurricanes
6-1-2, 14pts
2024-11-22
Flyers
6-2-1, 13pts
Statistiques d’équipe
W2SéquenceW1
4-0-0Fiche domicile3-1-0
2-1-2Fiche visiteur3-1-1
6-1-210 derniers matchs6-2-1
2.00Buts par match 2.22
1.44Buts contre par match 2.22
18.18%Pourcentage en avantage numérique16.13%
88.10%Pourcentage en désavantage numérique93.10%
Flyers
6-2-1, 13pts
2024-11-23
Hurricanes
6-1-2, 14pts
Statistiques d’équipe
W1SéquenceW2
3-1-0Fiche domicile4-0-0
3-1-1Fiche visiteur2-1-2
6-2-110 derniers matchs6-1-2
2.22Buts par match 2.00
1.33Buts contre par match 2.00
16.13%Pourcentage en avantage numérique18.18%
93.10%Pourcentage en désavantage numérique88.10%
Meneurs d'équipe
Buts
Danny Briere
4
Passes
Alex Ovechkin
7
Points
Danny Briere
10
Plus/Moins
Braydon Coburn
7
Victoires
Michael Leighton
6
Pourcentage d’arrêts
Michael Leighton
0.931

Statistiques d’équipe
Buts pour
20
2.22 GFG
Tirs pour
181
20.11 Avg
Pourcentage en avantage numérique
16.1%
5 GF
Début de zone offensive
39.3%
Buts contre
12
1.33 GAA
Tirs contre
160
17.78 Avg
Pourcentage en désavantage numérique
93.1%%
2 GA
Début de la zone défensive
35.5%
Informations de l'équipe

Directeur généralMike
EntraîneurAndy Murray
DivisionAtlantic
ConférenceEastern
CapitaineChris Pronger
Assistant #1Danny Briere
Assistant #2Alex Ovechkin


Informations de l’aréna

Nom
Capacité18,000
Assistance17,465
Billets de saison7,200


Informations de la formation

Équipe Pro21
Équipe Mineure24
Limite contact 45 / 250
Espoirs33


Plafond salarial

Cap Salarial de la Saison estimé67,122,216$
Plafond salarial disponible7,877,784$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour2,678,868$
Dépenses annuelles à ce jour10,698,912$
Revenus de la saison estimés18,082,359$
Dépenses de la saison estimées58,175,334$
Compte bancaire actuel41,435,652$
Compte bancaire projeté-698,463$


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
1Alex Ovechkin (A)0X100.0077827782999999997399998699798987878422448,500,000$
2Jeff Carter0X100.0083749396889999999689978797798087878422415,000,000$
3Jordan Staal0X100.0094899095979999979187879387737987878322134,000,000$
4Loui Eriksson0X100.0076759995839999997195938693798087878322444,266,667$
5Mike Richards0X100.0095958494849999979489948894798487878322445,750,000$
6Danny Briere (A)0X100.0079808499779999997488927792959987878223246,500,000$
7Nikolai Zherdev (R)0X100.0083649993929999927193907990748587878122412,000,000$
8Patric Hornqvist0X100.0083749492829999997083948094757687878022233,083,333$
9Scott Hartnell0X100.0095885593929999927088817981858787878022734,200,000$
10Claude Giroux0X100.008296999375999995858983838373738787792211821,667$
11Ian Laperriere0X100.0099965386879999927380708970999787877823521,166,667$
12Peter Regin (R)0X100.0084769987869999947980818181778087877822321,000,000$
13Chris Pronger (C)0X100.0091828489989999956799879987999987878623544,921,429$
14Matt Carle0X100.0078779996899999876791799479818287878222523,437,500$
15Andrej Meszaros0X100.0092759190979999846778798579798187878022444,000,000$
16Braydon Coburn0X100.0093759090979999836781778877798187878022423,200,000$
17Sean O'Donnell0X100.0090968576999595786779739173999987877923811,300,000$
18Marc Methot0X100.009992868599888884677571877179798787782241750,000$
Rayé
Équipe Mineure
1Blair Betts0X100.009377998292939392917777927789838787782292700,000$
2James van Riemsdyk (R)0X100.0078759789889999976782827782717387877822021,654,167$
3Sergei Kostitsyn0X100.008177999591838390698179867975788787772221550,000$
4Darroll Powe0X100.009994868391939392767378857879808787762241725,000$
5Daniel Carcillo0X100.0099904283899898887175797879797887877522411,075,000$
6Ryan Shannon0X100.007674999274949491727773767383818787752261750,000$
7Jody Shelley0X100.0097955273999090927175697769978887877423331,100,000$
8Adam Burish0X100.007999868982787892737872797283818787732261750,000$
9James Sheppard0X100.009198928892888880787169806973758787722211500,000$
10Ville Leino (R)0X100.007676998483868685727275767583818787722261800,000$
11Vladimir Zharkov (R)0X100.007977999087818185708067776773748787722211850,000$
12Matt Niskanen0X100.009376999789949482678073777377778787772231750,000$
13Nicklas Grossman0X100.009976958599888873677567876779798787772241750,000$
14Brett Festerling0X100.009998988491797979677267806777788787742231500,000$
15Dustin Kohn (R)0X100.008577999288787887678067786775768787742221750,000$
16Matt Walker0X100.0090977173958383686770718871898587877422931,700,000$
17Oskars Bartulis (R)0X100.008274939382828279677969796975758787742223600,000$
18Jon Kalinski (R)0X100.008077999577767690747667776775738787722221500,000$
19Andreas Nodl0X100.008078999086686874677167826775738787692221850,000$
20David Laliberte (R)0X100.008475967385707077897178777877768787692231500,000$
21Greg Moore (R)0X100.007579998097636367786767796781788787672251500,000$
MOYENNE D’ÉQUIPE100.00878389888991918874817883788181878777
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
1Michael Leighton0100.009994839999999999999799929332879222921,550,000$
2Ondrej Pavelec0100.00909599999694949696969583868287902221750,000$
Rayé
1Brian Boucher0100.00949192999896969898959798963287922331925,000$
Équipe Mineure
1Anders Lindback (R)0100.00938793979494949494939467678787862212750,000$
2Johan Backlund0100.00856991998688888788878788803287832281500,000$
3Sergei Bobrovsky0100.00575267979795777272726767671887742213750,000$
MOYENNE D’ÉQUIPE100.0086818898959491919190908382478786
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andy Murray83837979947870CAN5711,752,000$


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’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
1Danny BriereFlyersRW94610440431731123.53%114716.41224630000001154.55%11100001.3500000211
2Alex OvechkinFlyersLW91785406318395.56%118720.800227300000311037.50%874000.8511000111
3Jeff CarterFlyersC9426500892181419.05%219121.311017300001363052.10%16775000.6301000031
4Loui ErikssonFlyersLW933610073208915.00%315917.690111230001140150.00%6124000.7501000001
5Andrej MeszarosFlyersD90557402102030%818620.74011019000021000%0010000.5400000000
6Jordan StaalFlyersC913410010613227.69%216117.990002230000160054.22%83104000.4900000010
7Chris ProngerFlyersD9213-14012697322.22%622825.39112434000026100%0810000.2600000000
8Patric HornqvistFlyersRW9213160631761311.76%213815.42101223000000083.33%6110000.4300000100
9Matt CarleFlyersD9022-2004105110%722925.54011234000030000%0111000.1701000000
10Mike RichardsFlyersC920206052132115.38%111512.8400000000000053.49%4324000.3500000100
11Braydon CoburnFlyersD910174061230333.33%518820.95000019000019000%013000.1100000001
12Claude GirouxFlyersRW9011000569330%111412.6700000000000040.00%540000.1800000000
13Marc MethotFlyersD9011020444410%012413.840000000000000%001000.1600000000
14Ian LaperriereFlyersRW90000100716100%2819.0200000000000040.00%50100000000000
15Peter ReginFlyersC9000000218340%0798.8500000000000050.00%2611300000000000
16Scott HartnellFlyersLW9000080547130%1829.20000000000000100.00%25200000000000
17Sean O'DonnellFlyersD9000020252020%212914.410000000003000%00300000000000
18Nikolai ZherdevFlyersLW9000020357340%211512.8000000000000042.86%711300000000000
Statistiques d’équipe totales ou en moyenne162203252285609893181558611.05%46266216.4458133127200022036252.57%36910068000.3914000565
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
1Michael LeightonFlyers96210.9311.21545021116077100290111
Statistiques d’équipe totales ou en moyenne96210.9311.2154502111607710290111


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Alex OvechkinFlyersLW242000-11-03RUSNo233 Lbs6 ft2NoNoAssign ManuallyNoNo42024-10-28FalseFalsePro & Farm8,500,000$7,179,612$8,500,000$7,179,612$No8,500,000$8,500,000$8,500,000$---------------NoNoNo------
Andrej MeszarosFlyersD242000-11-03SVKNo223 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm4,000,000$3,378,641$4,000,000$3,378,641$No4,000,000$4,000,000$4,000,000$---------------NoNoNo------
Braydon CoburnFlyersD242000-11-03CANNo220 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm3,200,000$2,702,913$3,200,000$2,702,913$No3,200,000$-----------------No--------
Brian BoucherFlyersG331991-11-03USANo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$781,311$925,000$781,311$No---------------------------
Chris ProngerFlyersD351989-11-03CANNo220 Lbs6 ft6NoNoN/ANoNo4FalseFalsePro & Farm4,921,429$4,156,935$4,921,429$4,156,935$No4,921,429$4,921,429$4,921,429$---------------NoNoNo------
Claude GirouxFlyersRW212003-11-03CANNo172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm821,667$694,029$821,667$694,029$No---------------------------
Danny BriereFlyersRW321992-11-03CANNo179 Lbs5 ft10NoNoN/ANoNo4FalseFalsePro & Farm6,500,000$5,490,291$6,500,000$5,490,291$No6,500,000$6,500,000$6,500,000$---------------NoNoNo------
Ian LaperriereFlyersRW351989-11-03CANNo200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,166,667$985,437$1,166,667$985,437$No1,166,667$-----------------No--------
Jeff CarterFlyersC242000-11-03CANNo200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm5,000,000$4,223,301$5,000,000$4,223,301$No---------------------------
Jordan StaalFlyersC212003-11-03CANNo220 Lbs6 ft4NoNoAssign ManuallyNoNo3FalseFalsePro & Farm4,000,000$3,378,641$4,000,000$3,378,641$No4,000,000$4,000,000$----------------NoNo-------
Loui ErikssonFlyersLW242000-11-03SWENo189 Lbs6 ft1NoNoAssign ManuallyNoNo4FalseFalsePro & Farm4,266,667$3,603,884$4,266,667$3,603,884$No4,266,667$4,266,667$4,266,667$---------------NoNoNo------
Marc MethotFlyersD242000-11-03CANNo230 Lbs6 ft3NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$633,495$750,000$633,495$No---------------------------
Matt CarleFlyersD251999-11-03USANo205 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm3,437,500$2,903,519$3,437,500$2,903,519$No3,437,500$-----------------No--------
Michael LeightonFlyersG291995-11-03CANNo186 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,550,000$1,309,223$1,550,000$1,309,223$No1,550,000$-----------------No--------
Mike RichardsFlyersC242000-11-03CANNo195 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm5,750,000$4,856,796$5,750,000$4,856,796$No5,750,000$5,750,000$5,750,000$---------------NoNoNo------
Nikolai ZherdevFlyersLW242000-11-03UKRYes203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$1,689,320$2,000,000$1,689,320$No---------------------------
Ondrej PavelecFlyersG222002-11-03CZENo220 Lbs6 ft3NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$633,495$750,000$633,495$No---------------------------
Patric HornqvistFlyersRW222002-11-03SWENo188 Lbs5 ft11NoNoAssign ManuallyNoNo3FalseFalsePro & Farm3,083,333$2,604,369$3,083,333$2,604,369$No3,083,333$3,083,333$----------------NoNo-------
Peter ReginFlyersC232001-11-03DNKYes197 Lbs6 ft2NoNoAssign ManuallyNoNo2FalseFalsePro & Farm1,000,000$844,660$1,000,000$844,660$No1,000,000$-----------------No--------
Scott HartnellFlyersLW271997-11-03CANNo210 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm4,200,000$3,547,573$4,200,000$3,547,573$No4,200,000$4,200,000$----------------NoNo-------
Sean O'DonnellFlyersD381986-11-03CANNo237 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$1,098,058$1,300,000$1,098,058$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2126.43206 Lbs6 ft22.383,196,298$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
67,122,263$55,575,596$45,221,429$33,938,096$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex OvechkinJeff CarterDanny Briere40122
2Loui ErikssonJordan StaalPatric Hornqvist30122
3Nikolai ZherdevMike RichardsClaude Giroux20122
4Scott HartnellPeter ReginIan Laperriere10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris ProngerMatt Carle40122
2Braydon CoburnAndrej Meszaros30122
3Sean O'DonnellMarc Methot20122
4Chris ProngerMatt Carle10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex OvechkinJeff CarterDanny Briere60122
2Loui ErikssonJordan StaalPatric Hornqvist40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris ProngerMatt Carle60122
2Braydon CoburnAndrej Meszaros40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jeff CarterAlex Ovechkin60122
2Jordan StaalLoui Eriksson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris ProngerMatt Carle60122
2Braydon CoburnAndrej Meszaros40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jeff Carter60122Chris ProngerMatt Carle60122
2Jordan Staal40122Braydon CoburnAndrej Meszaros40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jeff CarterAlex Ovechkin60122
2Jordan StaalLoui Eriksson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris ProngerMatt Carle60122
2Braydon CoburnAndrej Meszaros40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex OvechkinJeff CarterDanny BriereChris ProngerMatt Carle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex OvechkinJeff CarterDanny BriereChris ProngerMatt Carle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Staal, Mike Richards, Nikolai ZherdevJordan Staal, Mike RichardsJordan Staal
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrej Meszaros, Sean O'Donnell, Marc MethotAndrej MeszarosAndrej Meszaros, Sean O'Donnell
Tirs de pénalité
Alex Ovechkin, Loui Eriksson, Jeff Carter, Danny Briere, Jordan Staal
Gardien
#1 : Michael Leighton, #2 : Ondrej Pavelec


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
1Hurricanes4120000158-32110000012-12010000146-230.37558130102318112373147616204614214.29%10280.00%08114555.86%6413148.85%499352.69%996584326029
2Lightning4300100013310210010006152200000072581.0001321340153418527312616318324713323.08%160100.00%08114555.86%6413148.85%499352.69%835296326129
3Maple Leafs11000000211000000000001100000021121.000235000110153660211245400.00%30100.00%08114555.86%6413148.85%499352.69%2012238158
Total952010012012842101000734531000011394130.722203252025682181427463516046569831516.13%29293.10%08114555.86%6413148.85%499352.69%2031302047313867
_Since Last GM Reset952010012012842101000734531000011394130.722203252025682181427463516046569831516.13%29293.10%08114555.86%6413148.85%499352.69%2031302047313867
_Vs Conference952010012012842101000734531000011394130.722203252025682181427463516046569831516.13%29293.10%08114555.86%6413148.85%499352.69%2031302047313867
_Vs Division842010011811742101000734421000011183110.688182947025572166396857513934529327518.52%26292.31%08114555.86%6413148.85%499352.69%1831181806512259

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
913W120325218116046569802
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
95210012012
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
421100073
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5310001139
Derniers 10 matchs
WLOTWOTL SOWSOL
521001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31516.13%29293.10%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
42746355682
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
8114555.86%6413148.85%499352.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2031302047313867


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
2 - 2024-11-052Flyers1Hurricanes2LXXSommaire du match
6 - 2024-11-0910Lightning0Flyers4WSommaire du match
7 - 2024-11-1017Hurricanes0Flyers1WSommaire du match
8 - 2024-11-1124Flyers2Maple Leafs1WSommaire du match
9 - 2024-11-1229Lightning1Flyers2WXSommaire du match
11 - 2024-11-1433Flyers4Lightning1WSommaire du match
13 - 2024-11-1641Hurricanes2Flyers0LSommaire du match
14 - 2024-11-1747Flyers3Hurricanes4LSommaire du match
15 - 2024-11-1851Flyers3Lightning1WSommaire du match
17 - 2024-11-2056Canadiens-Flyers-
19 - 2024-11-2265Hurricanes-Flyers-
20 - 2024-11-2371Flyers-Hurricanes-
21 - 2024-11-2475Flyers-Avalanche-
22 - 2024-11-2580Flyers-Maple Leafs-
24 - 2024-11-2785Avalanche-Flyers-
26 - 2024-11-2994Red Wings-Flyers-
27 - 2024-11-3097Flyers-Lightning-
29 - 2024-12-02104Maple Leafs-Flyers-
30 - 2024-12-03110Flyers-Blackhawks-
32 - 2024-12-05116Blackhawks-Flyers-
34 - 2024-12-07124Canadiens-Flyers-
35 - 2024-12-08129Flyers-Canadiens-
38 - 2024-12-11137Hurricanes-Flyers-
40 - 2024-12-13141Flyers-Canadiens-
41 - 2024-12-14149Flames-Flyers-
42 - 2024-12-15152Flyers-Sharks-
44 - 2024-12-17161Lightning-Flyers-
45 - 2024-12-18164Flyers-Canucks-
47 - 2024-12-20171Maple Leafs-Flyers-
49 - 2024-12-22178Flyers-Bruins-
50 - 2024-12-23182Flyers-Red Wings-
51 - 2024-12-24186Flyers-Bruins-
52 - 2024-12-25192Canucks-Flyers-
53 - 2024-12-26200Canadiens-Flyers-
54 - 2024-12-27206Flyers-Blackhawks-
56 - 2024-12-29212Sharks-Flyers-
58 - 2024-12-31219Flyers-Hurricanes-
59 - 2025-01-01223Lightning-Flyers-
60 - 2025-01-02230Flyers-Avalanche-
63 - 2025-01-05235Bruins-Flyers-
65 - 2025-01-07241Flyers-Red Wings-
66 - 2025-01-08247Flyers-Flames-
68 - 2025-01-10251Avalanche-Flyers-
70 - 2025-01-12260Hurricanes-Flyers-
72 - 2025-01-14267Flyers-Sharks-
73 - 2025-01-15272Sharks-Flyers-
75 - 2025-01-17280Flames-Flyers-
76 - 2025-01-18284Flyers-Bruins-
77 - 2025-01-19289Flyers-Lightning-
78 - 2025-01-20295Flyers-Flames-
79 - 2025-01-21299Lightning-Flyers-
80 - 2025-01-22306Flyers-Lightning-
81 - 2025-01-23310Blackhawks-Flyers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
85 - 2025-01-27319Canucks-Flyers-
87 - 2025-01-29327Maple Leafs-Flyers-
89 - 2025-01-31330Flyers-Canadiens-
91 - 2025-02-02339Bruins-Flyers-
92 - 2025-02-03341Flyers-Hurricanes-
94 - 2025-02-05346Flyers-Canucks-
98 - 2025-02-09358Bruins-Flyers-
99 - 2025-02-10364Flyers-Maple Leafs-
101 - 2025-02-12369Red Wings-Flyers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603520200
Assistance23,47519,3277,78615,3523,920
Attendance PCT97.81%96.64%97.33%95.95%98.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 17465 - 97.03% 669,717$2,678,868$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
10,698,912$ 67,122,263$ 0$ 1,752,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
651,672$ 10,426,752$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
18,082,359$ 87 668,682$ 58,175,334$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
60,216,474$ 41,435,652$ -698,463$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
67,122,216$ 7,877,784$ 75,000,000$ 32,122,216$



Charte de profondeur

Ailier gaucheCentreAilier droit
Alex OvechkinAGE:24PO:87OV:84
Loui ErikssonAGE:24PO:87OV:83
Nikolai Zherdev (R)AGE:24PO:87OV:81
Scott HartnellAGE:27PO:87OV:80
James van Riemsdyk (R)AGE:20PO:87OV:78
Sergei KostitsynAGE:22PO:87OV:77
Daniel CarcilloAGE:24PO:87OV:75
Jody ShelleyAGE:33PO:87OV:74
Jon Kalinski (R)AGE:22PO:87OV:72
Ville Leino (R)AGE:26PO:87OV:72
Jeff CarterAGE:24PO:87OV:84
Jordan StaalAGE:21PO:87OV:83
Mike RichardsAGE:24PO:87OV:83
Blair BettsAGE:29PO:87OV:78
Peter Regin (R)AGE:23PO:87OV:78
Darroll PoweAGE:24PO:87OV:76
James SheppardAGE:21PO:87OV:72
Greg Moore (R)AGE:25PO:87OV:67
Danny BriereAGE:32PO:87OV:82
Patric HornqvistAGE:22PO:87OV:80
Claude GirouxAGE:21PO:87OV:79
Ian LaperriereAGE:35PO:87OV:78
Ryan ShannonAGE:26PO:87OV:75
Adam BurishAGE:26PO:87OV:73
Vladimir Zharkov (R)AGE:21PO:87OV:72
Andreas NodlAGE:22PO:87OV:69
David Laliberte (R)AGE:23PO:87OV:69

Défense #1Défense #2Gardien
Chris ProngerAGE:35PO:87OV:86
Matt CarleAGE:25PO:87OV:82
Andrej MeszarosAGE:24PO:87OV:80
Braydon CoburnAGE:24PO:87OV:80
Sean O'DonnellAGE:38PO:87OV:79
Marc MethotAGE:24PO:87OV:78
Matt NiskanenAGE:23PO:87OV:77
Nicklas GrossmanAGE:24PO:87OV:77
Brett FesterlingAGE:23PO:87OV:74
Dustin Kohn (R)AGE:22PO:87OV:74
Matt WalkerAGE:29PO:87OV:74
Oskars Bartulis (R)AGE:22PO:87OV:74
Brian BoucherAGE:33PO:32OV:92
Michael LeightonAGE:29PO:32OV:92
Ondrej PavelecAGE:22PO:82OV:90
Anders Lindback (R)AGE:21PO:87OV:86
Johan BacklundAGE:28PO:32OV:83
Sergei BobrovskyAGE:21PO:18OV:74

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
Adam MorrisonFlyers00
Andreas NodlFlyers00
Andrei PopovFlyers00
Andrew RoweFlyers00
Ben HolmstromFlyers00
Brad PhillipsFlyers00
Brendan RanfordFlyers00
Brian StewartFlyers00
Dave LabrecqueFlyers00
Denis BodrovFlyers00
Eric WellwoodFlyers00
Erik GustafssonFlyers00
Garrett KlotzFlyers00
Jakub KovarFlyers00
Joacim ErikssonFlyers00
Joonas LehtivuoriFlyers00
Kevin MarshallFlyers00
Luke PitherFlyers00
Marc-Andre BourdonFlyers00
Michael ChaputFlyers00
Michael ParksFlyers00
Mike TestwuideFlyers00
Nicholas LuukoFlyers00
Nicola RiopelFlyers00
Oliver LauridsenFlyers00
Patrick MaroonFlyers00
Ricard BlidstrandFlyers00
Shane HarperFlyers00
Simon BertilssonFlyers00
Stefan LegeinFlyers00
Tye McGinnFlyers00
Tyler HostetterFlyers00
Zac RinaldoFlyers00

Choix au repêchage

Année R1R2R3R4R5R6R7
2011Phi Phi Phi Tam Phi Phi
2012Phi Phi Phi Phi Phi Phi
2013Phi Phi Phi Phi Phi Phi Phi
2014Phi Phi Phi Phi Phi Phi Phi
2015Phi Phi Phi Phi Phi Phi Phi
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Flyers Historique de transactions

[11/15/2024 7:29:29 AM] - New Record for Team's Most Penalties Minutes (16) in 1 Game for Flyers!
[11/15/2024 7:29:29 AM] - New Record for Team's Most Points (12) in 1 Game for Flyers!
[11/15/2024 7:29:29 AM] - New Record for Team's Most Assists (8) in 1 Game for Flyers!
[11/13/2024 7:28:39 AM] - New Record for Team's Most Penalties Minutes (12) in 1 Game for Flyers!
[11/12/2024 7:17:56 AM] - New Record for Team's Most Shots Blocked (12) in 1 Game for Flyers!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Hits (16) in 1 Game for Flyers!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Penalties Minutes (10) in 1 Game for Flyers!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Hits (16) in 1 Game for Flyers!
[11/10/2024 7:15:24 AM] - New Record for Team's Most Points (10) in 1 Game for Flyers!
[11/10/2024 7:15:24 AM] - New Record for Team's Most Assists (6) in 1 Game for Flyers!
[11/10/2024 7:15:24 AM] - New Record for Team's Most Goals (4) in 1 Game for Flyers!
[11/6/2024 7:19:05 AM] - New Record for Team's Most Hits (12) in 1 Game for Flyers!
[11/6/2024 7:19:05 AM] - New Record for Team's Most Penalties Minutes (4) in 1 Game for Flyers!
[11/6/2024 7:19:05 AM] - New Record for Team's Most Shots Blocked (7) in 1 Game for Flyers!
[11/6/2024 7:19:05 AM] - New Record for Team's Most Shots (26) in 1 Game for Flyers!
[11/6/2024 7:19:05 AM] - New Record for Team's Most Points (3) in 1 Game for Flyers!
[11/6/2024 7:19:05 AM] - New Record for Team's Most Assists (2) in 1 Game for Flyers!
[11/6/2024 7:19:05 AM] - New Record for Team's Most Goals (1) in 1 Game for Flyers!
[11/6/2024 7:19:05 AM] - New Record for Team's Most Shots (26) in 1 Game for Flyers!
[10/17/2024 7:48:42 AM] - TRADE : From Flyers to Hurricanes : Taylor Pyatt (74).
[10/16/2024 9:22:14 AM] - Vladimir Zharkov was added to Flyers.
[10/16/2024 9:22:08 AM] - James Sheppard was added to Flyers.



[11/15/2024 7:29:29 AM] New Record for Team's Most Penalties Minutes (16) in 1 Game for Flyers!
[11/15/2024 7:29:29 AM] New Record for Team's Most Points (12) in 1 Game for Flyers!
[11/15/2024 7:29:29 AM] New Record for Team's Most Assists (8) in 1 Game for Flyers!
[11/13/2024 7:28:39 AM] New Record for Team's Most Penalties Minutes (12) in 1 Game for Flyers!
[11/12/2024 7:17:56 AM] New Record for Team's Most Shots Blocked (12) in 1 Game for Flyers!
[11/11/2024 7:26:39 AM] Last 7 Days Pro Star : 1 - Michael Leighton of Flyers (0.979) / 2 - Tomas Holmstrom of Red Wings (3-1-4) / 3 - Cam Ward of Hurricanes (0.951)
[11/11/2024 7:26:38 AM] New Record for Team's Most Hits (16) in 1 Game for Flyers!
[11/11/2024 7:26:38 AM] New Record for Team's Most Penalties Minutes (10) in 1 Game for Flyers!
[11/11/2024 7:26:38 AM] New Record for Team's Most Hits (16) in 1 Game for Flyers!
[11/10/2024 7:15:24 AM] New Record for Team's Most Points (10) in 1 Game for Flyers!
[11/10/2024 7:15:24 AM] New Record for Team's Most Assists (6) in 1 Game for Flyers!
[11/10/2024 7:15:24 AM] New Record for Team's Most Goals (4) in 1 Game for 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