Connexion

Flyers
GP: 10 | W: 6 | L: 4 | OTL: 0 | P: 12
GF: 36 | GA: 23 | PP%: 20.59% | PK%: 88.37%
DG: Frank Grimard | Morale : 50 | Moyenne d’équipe : 75
Prochain matchs #174 vs Devils
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Centre de jeu
Hurricanes
2-6-2, 6pts
2
FINAL
5 Flyers
6-4-0, 12pts
Team Stats
W1StreakW4
1-2-2Home Record2-3-0
1-4-0Away Record4-1-0
2-6-2Last 10 Games6-4-0
2.60Goals Per Game3.60
4.00Goals Against Per Game2.30
24.24%Power Play Percentage20.59%
76.19%Penalty Kill Percentage88.37%
Flyers
6-4-0, 12pts
3
FINAL
2 Penguins
6-2-2, 14pts
Team Stats
W4StreakSOL1
2-3-0Home Record2-1-2
4-1-0Away Record4-1-0
6-4-0Last 10 Games6-2-2
3.60Goals Per Game3.10
2.30Goals Against Per Game2.40
20.59%Power Play Percentage17.14%
88.37%Penalty Kill Percentage82.50%
Flyers
6-4-0, 12pts
2022-08-03
Devils
6-4-0, 12pts
Statistiques d’équipe
W4SéquenceL1
2-3-0Fiche domicile3-2-0
4-1-0Fiche visiteur3-2-0
6-4-010 derniers matchs6-4-0
3.60Buts par match 2.90
2.30Buts contre par match 2.60
20.59%Pourcentage en avantage numérique13.95%
88.37%Pourcentage en désavantage numérique80.95%
Penguins
6-2-2, 14pts
2022-08-04
Flyers
6-4-0, 12pts
Statistiques d’équipe
SOL1SéquenceW4
2-1-2Fiche domicile2-3-0
4-1-0Fiche visiteur4-1-0
6-2-210 derniers matchs6-4-0
3.10Buts par match 3.60
2.40Buts contre par match 2.30
17.14%Pourcentage en avantage numérique20.59%
82.50%Pourcentage en désavantage numérique88.37%
Blue Jackets
7-3-0, 14pts
2022-08-05
Flyers
6-4-0, 12pts
Statistiques d’équipe
W3SéquenceW4
3-2-0Fiche domicile2-3-0
4-1-0Fiche visiteur4-1-0
7-3-010 derniers matchs6-4-0
3.80Buts par match 3.60
3.20Buts contre par match 2.30
19.05%Pourcentage en avantage numérique20.59%
80.65%Pourcentage en désavantage numérique88.37%
Meneurs d'équipe
Buts
Connor McDavid
6
Passes
Devon Toews
10
Points
Connor McDavid
13
Plus/Moins
Tom Wilson
6
Victoires
Sergei Bobrovsky
3
Pourcentage d’arrêts
Anthony Stolarz
0.928

Statistiques d’équipe
Buts pour
36
3.60 GFG
Tirs pour
336
33.60 Avg
Pourcentage en avantage numérique
20.6%
7 GF
Début de zone offensive
42.1%
Buts contre
23
2.30 GAA
Tirs contre
311
31.10 Avg
Pourcentage en désavantage numérique
88.4%
5 GA
Début de la zone défensive
39.8%
Information d’équipe

Directeur généralFrank Grimard
EntraîneurJon Cooper
DivisionMETROPOLITAINE
ConférenceEST
CapitaineConnor McDavid
Assistant #1
Assistant #2Brad Marchand


Informations de l’aréna

NomWachovia Center
Capacité17,000
Assistance0
Billets de saison6,800


Information formation

Équipe Pro23
Équipe Mineure31
Limite contact 54 / 55
Espoirs27


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible82,500,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel92,766,393$
Compte bancaire projeté92,766,393$


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 McDavid (C)0X100.006538859376918992849590679368860508602558,263,000$
2Brad Marchand (A)0X100.007386658266959485668784738186790508303446,241,000$
3David Pastrnak0X100.006235898373908784528186638870720508002645,927,000$
4Tom Wilson0X100.009086627290829571567475815974730508002835,786,000$
5Kevin Fiala0XXX100.00633777807189847858798164826973050780265700,000$
6Phillip Danault0X100.006741857677889073897471827074720507802944,565,000$
7Barclay Goodrow0XXX100.008078736781879165807164876372710507702944,406,000$
8Alex Killorn0X100.006638767177899072597675747381750507703343,929,000$
9Paul Stastny0X100.006135897273889075867473697189800507603632,543,000$
10Jack Roslovic0XX100.00563594757386907678757463776768050750253939,000$
11Logan O'Connor0X100.006539887270828667536665896466670507402643,060,000$
12Noah Gregor0XXX100.00743986697284856761686662726465050710241850,000$
13Ivan Provorov0X100.007336897778939576307569865869720508002522,902,000$
14Devon Toews0X100.00623586737689817430857390596971050790285914,000$
15Adam Larsson0X100.008839826585929064307165855277720507702942,415,000$
16Brett Pesce0X100.00563484668593896430786589527170050760275956,000$
17Henri Jokiharju0X100.006635937174918772307362745264630507402342,617,000$
18Alexander Romanov0X100.008842816879909266306856765362640507402251,177,500$
Rayé
1Adam Ruzicka0X100.00763992679083756578666864676365050720235850,000$
2Josh Mahura0X100.007034887069857669307063595463650507002421,188,000$
3Oscar Klefbom0XHO111111111111111050702919,618,180$
Équipe Mineure
1Joachim Blichfeld0XX100.00643881677982836657626761696466050700241790,000$
2Vasily Podkolzin0X100.006435827275818370566467587161640507002131,775,000$
3Andrew Poturalski0X100.00583693646987886677686259656873050690282937,500$
4Gerald Mayhew0XX100.006835946662737466686466656677720506902911,003,000$
5Glenn Gawdin0X100.00713987637680826475655861596567050680253795,000$
6Riley Barber0X100.006438846274807863666164596769700506802811,000,000$
7Dylan Holloway0XX100.006939856578916268706459616663620506802031,441,667$
8Gage Quinney0X100.006037926172896863566164596267690506702711,062,500$
9Ben Jones0X100.007139736172808759665860556264650506602321,254,000$
10David Cotton0X100.007139855780798258625659586165670506602511,093,000$
11Michal Teply0X100.00723894578179835561595660576163050660212919,167$
12Ben McCartney0X100.00793966587184825658575960586163050660213813,333$
13Kurtis MacDermid0X100.00778961599674835730605866516870050690281902,000$
14Jakub Galvas0X100.00623581636883876230615866526367050680233925,000$
15Santeri Hatakka0X100.00603883647677746030655864506163050670213925,000$
16Dmitri Samorukov0X100.00683882628173776030595856496365050660231863,333$
17Cavan Fitzgerald0X100.00663891577571825630555458456668050640261861,000$
18Ryan O'Rourke0X100.00615471567079845830575356455962050630203894,167$
19Tyce Thompson0X100.006340875972796658676157625663650506502311,125,000$
20Aarne Talvitie0X100.00633792557268885461555657586365050630231925,000$
21Jamieson Rees0X100.00583776596778875866575654596163050630213910,833$
22Jonathan Davidsson0X100.00583595597063666156605859616764050630251850,000$
23Lukas Rousek0X100.00583692636874655952575553596365050630233830,000$
24Tye Felhaber0X100.00593788566870675351545652576466050610241867,000$
25Mark Friedman0X100.00643670667182736530676566556768050700262918,000$
26Brennan Menell0X100.00613473576866675930585257456567050620253806,000$
27Matthew Kessel (R)0X100.00723883548166645230565052456264050610221700,000$
MOYENNE D’ÉQUIPE100.0066418165748080645265636460666705069
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
1Sergei Bobrovsky100.00949690779392949392949386880509313432,501,000$
2Anthony Stolarz100.0086777298858486858486856881050850285923,000$
Rayé
Équipe Mineure
1Ken Appleby100.0073686788727173727173726777050750271700,000$
2Adam Scheel100.0070737482696870696870696369050720233910,000$
3Kirill Ustimenko100.0066686781656466656466656369050690232925,000$
4Ryan Fanti100.0067646582666567666567666369050690224950,000$
MOYENNE D’ÉQUIPE100.007674738575747675747675687605077
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jon Cooper84919076827667CAN5540$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Connor McDavidFlyersC10671340072752113811.54%018918.970331128000091048.84%25800001.3711000002
2Devon ToewsFlyersD10310131406191861716.67%1223323.333251227000136000.00%000001.1100000010
3Brad MarchandFlyersLW854936034113172216.13%015018.790225240001111061.54%1300011.2000000310
4Tom WilsonFlyersRW1027961603713288287.14%118718.770223250000280047.62%2100000.9600000110
5Phillip DanaultFlyersC1035814012232281613.64%217217.23011130001261053.78%22500000.9300000002
6David PastrnakFlyersRW1061710051234111917.65%118418.411123280000101032.00%2500000.7601000112
7Henri JokiharjuFlyersD10066610010125150.00%1016216.240000200009000.00%000000.7400000000
8Paul StastnyFlyersC10336-3407261731417.65%017317.36022329000030056.52%23000000.6900000000
9Kevin FialaFlyersC/LW/RW100662601212278150.00%316216.20011824000000042.86%1400000.7401000000
10Brett PesceFlyersD101453201212176115.88%1621921.97101625000035010.00%000000.4600000000
11Alex KillornFlyersLW103255206142061115.00%013413.4800000000001063.64%1100000.7400000000
12Ivan ProvorovFlyersD82351201711113918.18%1618823.54213520000125010.00%000000.5300000000
13Adam LarssonFlyersD10134518030513157.69%1020420.46033415000024000.00%000000.3900000000
14Jack RoslovicFlyersC/RW1003340001011260.00%013013.10000113000000048.84%8600000.4600000000
15Mark FriedmanPhantoms (PHI)D4022240613230.00%96516.370001500000000.00%000000.6100000000
16Barclay GoodrowFlyersC/LW/RW10101240111912098.33%311611.63000000000280058.76%9700000.1700000000
17Alexander RomanovFlyersD10000-1602025330.00%1218218.2100028000028000.00%000000.0000000000
18Josh MahuraFlyersD4000220431020.00%27017.570000300005000.00%000000.0000000000
19Noah GregorFlyersC/LW/RW2000020213010.00%0157.84000000000200100.00%300000.0000000000
20Logan O'ConnorFlyersRW10000-300246560.00%3878.79000000000270044.44%900000.0000000000
21Adam RuzickaFlyersC10000-120436020.00%0545.4600015000000043.24%3700000.0000000000
Statistiques d’équipe totales ou en moyenne1863666102409402442403429124210.53%100308616.59718256629100043115252.28%102900010.6613000546
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
1Anthony StolarzFlyers53200.9282.3927601111530001.000355100
2Sergei BobrovskyFlyers63200.9242.2032800121580000.000055001
Statistiques d’équipe totales ou en moyenne116400.9262.2960401233110001.00031010101


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam LarssonFlyersD291992-11-12No208 Lbs6 ft3NoNoNo4Pro & Farm2,415,000$2,415,000$2,346,000$2,415,000$2,415,000$No2,415,000$2,415,000$2,415,000$Lien
Adam RuzickaFlyersC231999-05-11No220 Lbs6 ft4NoNoNo5Pro & Farm850,000$850,000$801,666$850,000$850,000$No1,450,000$1,450,000$1,450,000$1,450,000$Lien
Alex KillornFlyersLW331989-09-14No199 Lbs6 ft1NoNoNo4Pro & Farm3,929,000$3,929,000$3,487,800$3,929,000$3,929,000$No3,929,000$3,929,000$3,929,000$Lien
Alexander RomanovFlyersD222000-01-06No209 Lbs6 ft1NoNoNo5Pro & Farm1,177,500$1,177,500$1,177,500$1,177,500$1,177,500$No2,889,000$2,889,000$2,889,000$2,889,000$Lien
Anthony StolarzFlyersG281994-01-20No243 Lbs6 ft6NoNoNo5Pro & Farm923,000$923,000$923,000$923,000$No4,825,000$4,825,000$4,825,000$4,825,000$Lien
Barclay GoodrowFlyersC/LW/RW291993-02-26No204 Lbs6 ft2NoNoNo4Pro & Farm4,406,000$4,406,000$3,664,800$4,406,000$4,406,000$No4,406,000$4,406,000$4,406,000$Lien
Brad MarchandFlyersLW341988-05-11No182 Lbs5 ft9NoNoNo4Pro & Farm6,241,000$6,241,000$5,666,800$6,241,000$6,241,000$No6,241,000$6,241,000$6,241,000$Lien
Brett PesceFlyersD271994-11-15No206 Lbs6 ft3NoNoNo5Pro & Farm956,000$956,000$809,000$956,000$956,000$No3,619,000$3,619,000$3,619,000$3,619,000$Lien
Connor McDavidFlyersC251997-01-13No193 Lbs6 ft1NoNoNo5Pro & Farm8,263,000$8,263,000$8,509,400$8,263,000$8,263,000$No8,571,000$8,571,000$8,571,000$8,571,000$Lien
David PastrnakFlyersRW261996-05-25No195 Lbs6 ft0NoNoNo4Pro & Farm5,927,000$5,927,000$4,880,000$5,927,000$5,927,000$No5,927,000$5,927,000$5,927,000$Lien
Devon ToewsFlyersD281994-02-21No191 Lbs6 ft1NoNoNo5Pro & Farm914,000$914,000$914,000$914,000$No3,838,000$3,838,000$3,838,000$3,838,000$Lien
Henri JokiharjuFlyersD231999-06-17No200 Lbs6 ft0NoNoNo4Pro & Farm2,617,000$2,617,000$2,349,433$2,617,000$2,617,000$No2,617,000$2,617,000$2,617,000$Lien
Ivan ProvorovFlyersD251997-01-13No201 Lbs6 ft1NoNoNo2Pro & Farm2,902,000$2,902,000$2,000,000$2,902,000$2,902,000$No2,539,000$Lien
Jack RoslovicFlyersC/RW251997-01-29No193 Lbs6 ft1NoNoNo3Pro & Farm939,000$939,000$525,000$939,000$939,000$No939,000$939,000$Lien
Josh MahuraFlyersD241998-05-05No185 Lbs6 ft0NoNoNo2Pro & Farm1,188,000$1,188,000$650,000$1,188,000$1,188,000$No1,188,000$Lien
Kevin FialaFlyersC/LW/RW261996-07-22No204 Lbs5 ft10NoNoNo5Pro & Farm700,000$700,000$1,394,000$700,000$700,000$No4,264,000$4,264,000$4,264,000$4,264,000$Lien
Logan O'ConnorFlyersRW261996-08-14No175 Lbs6 ft0NoNoNo4Pro & Farm3,060,000$3,060,000$2,578,000$3,060,000$3,060,000$No3,060,000$3,060,000$3,060,000$Lien
Noah GregorFlyersC/LW/RW241998-07-28No190 Lbs6 ft0NoNoNo1Pro & Farm850,000$850,000$768,334$850,000$850,000$NoLien
Oscar KlefbomFlyersD291993-07-20No216 Lbs6 ft3NoNoNo1Pro Only9,618,180$9,618,180$9,618,180$9,618,180$9,618,180$NoLien
Paul StastnyFlyersC361985-12-27No193 Lbs6 ft0NoNoNo3Pro & Farm2,543,000$2,543,000$2,543,000$2,543,000$No3,482,000$3,482,000$Lien
Phillip DanaultFlyersC291993-02-24No200 Lbs6 ft1NoNoNo4Pro & Farm4,565,000$4,565,000$4,172,600$4,565,000$4,565,000$No4,565,000$4,565,000$4,565,000$Lien
Sergei BobrovskyFlyersG341988-09-20No182 Lbs6 ft2NoNoNo3Pro & Farm2,501,000$2,501,000$2,501,000$2,501,000$No2,501,000$2,501,000$Lien
Tom WilsonFlyersRW281994-03-29No220 Lbs6 ft4NoNoNo3Pro & Farm5,786,000$5,786,000$525,000$5,786,000$5,786,000$No5,786,000$5,786,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.52200 Lbs6 ft13.703,185,682$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
73,270,680$79,051,000$75,324,000$62,616,000$29,456,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandConnor McDavidJack Roslovic29023
2Kevin FialaPhillip DanaultDavid Pastrnak29023
3Alex KillornPaul StastnyTom Wilson29032
4Noah GregorBarclay GoodrowLogan O'Connor13131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonDevon Toews34131
2Brett PesceIvan Provorov34131
3Alexander RomanovHenri Jokiharju28131
4Ivan ProvorovDevon Toews4122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandConnor McDavidJack Roslovic55014
2Kevin FialaPaul StastnyTom Wilson45014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David PastrnakDevon Toews55014
2Brett PesceIvan Provorov45014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Barclay GoodrowTom Wilson50131
2Phillip DanaultLogan O'Connor50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam LarssonDevon Toews50140
2Ivan ProvorovBrett Pesce50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Phillip Danault50050Adam LarssonDevon Toews50050
2Barclay Goodrow50050Ivan ProvorovBrett Pesce50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor McDavidBrad Marchand47023
2Phillip DanaultDavid Pastrnak53023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ivan ProvorovDevon Toews53032
2Brett PesceHenri Jokiharju47032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandConnor McDavidDavid PastrnakIvan ProvorovDevon Toews
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Barclay GoodrowPhillip DanaultTom WilsonBrett PesceDevon Toews
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Fiala, Alex Killorn, Barclay GoodrowBarclay Goodrow, Alex KillornBarclay Goodrow
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Henri Jokiharju, Ivan Provorov, Devon ToewsHenri JokiharjuAlexander Romanov, Henri Jokiharju
Tirs de pénalité
Connor McDavid, David Pastrnak, Kevin Fiala, Brad Marchand, Jack Roslovic
Gardien
#1 : Anthony Stolarz, #2 : Sergei Bobrovsky
Lignes d’attaque personnalisées en prolongation
Connor McDavid, Brad Marchand, Tom Wilson, David Pastrnak, Phillip Danault, Kevin Fiala, Kevin Fiala, Paul Stastny, Barclay Goodrow, Alex Killorn, Jack Roslovic
Lignes de défense personnalisées en prolongation
Ivan Provorov, Devon Toews, Brett Pesce, Alexander Romanov, Henri Jokiharju


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
1Capitals211000009631010000034-11100000062420.5009172600252061151531062920419222.22%9188.89%018937550.40%18735452.82%8616153.42%463046162713
2Devils1010000012-11010000012-10000000000000.000123000010371281703611825200.00%40100.00%018937550.40%18735452.82%8616153.42%2316237126
3Hurricanes220000001037110000005231100000051441.00010192900343077282821051158488337.50%30100.00%018937550.40%18735452.82%8616153.42%493342142815
4Islanders211000008441010000034-11100000050520.5008152301404065251624068282641600.00%12191.67%018937550.40%18735452.82%8616153.42%473347142511
5Penguins10000010321000000000001000001032121.00033600101133961653161031300.00%5180.00%018937550.40%18735452.82%8616153.42%2618257136
6Rangers2010100056-1100010004311010000013-220.50051015000131631719252632420336233.33%10280.00%018937550.40%18735452.82%8616153.42%493345152713
Total10440101036231351301000161515310001020812120.6003666102011010142336106921347311939221934720.59%43588.37%018937550.40%18735452.82%8616153.42%2421662307613466
_Since Last GM Reset10440101036231351301000161515310001020812120.6003666102011010142336106921347311939221934720.59%43588.37%018937550.40%18735452.82%8616153.42%2421662307613466
_Vs Conference10440101036231351301000161515310001020812120.6003666102011010142336106921347311939221934720.59%43588.37%018937550.40%18735452.82%8616153.42%2421662307613466
_Vs Division10440101036231351301000161515310001020812120.6003666102011010142336106921347311939221934720.59%43588.37%018937550.40%18735452.82%8616153.42%2421662307613466

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1012W43666102336311939221901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104410103623
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51310001615
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5310010208
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
34720.59%43588.37%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
1069213471010142
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
18937550.40%18735452.82%8616153.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2421662307613466


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 - 2022-07-1815Rangers3Flyers4BWXSommaire du match
3 - 2022-07-1929Flyers1Rangers3ALSommaire du match
5 - 2022-07-2147Flyers5Islanders0AWSommaire du match
7 - 2022-07-2362Islanders4Flyers3BLSommaire du match
8 - 2022-07-2477Capitals4Flyers3BLSommaire du match
10 - 2022-07-26102Devils2Flyers1BLSommaire du match
11 - 2022-07-27108Flyers6Capitals2AWSommaire du match
12 - 2022-07-28119Flyers5Hurricanes1AWSommaire du match
14 - 2022-07-30135Hurricanes2Flyers5BWSommaire du match
15 - 2022-07-31152Flyers3Penguins2AWXXSommaire du match
18 - 2022-08-03174Flyers-Devils-
19 - 2022-08-04179Penguins-Flyers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05200Blue Jackets-Flyers-
21 - 2022-08-06211Flyers-Blue Jackets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité50004000300040001000
Prix des billets20015012075350
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 0 - 0.00% 0$0$17000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 73,270,680$ 55,923,513$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 22 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 92,766,393$ 92,766,393$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 82,500,000$ 82,500,000$ -60,500,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Brad MarchandAGE:34PO:0OV:83
Kevin FialaAGE:26PO:0OV:78
Barclay GoodrowAGE:29PO:0OV:77
Alex KillornAGE:33PO:0OV:77
Noah GregorAGE:24PO:0OV:71
Joachim BlichfeldAGE:24PO:0OV:70
Gerald MayhewAGE:29PO:0OV:69
Dylan HollowayAGE:20PO:0OV:68
Gage QuinneyAGE:27PO:0OV:67
Ben McCartneyAGE:21PO:0OV:66
Tye FelhaberAGE:24PO:0OV:61
Connor McDavidAGE:25PO:0OV:86
Kevin FialaAGE:26PO:0OV:78
Phillip DanaultAGE:29PO:0OV:78
Barclay GoodrowAGE:29PO:0OV:77
Paul StastnyAGE:36PO:0OV:76
Jack RoslovicAGE:25PO:0OV:75
Adam RuzickaAGE:23PO:0OV:72
Noah GregorAGE:24PO:0OV:71
Andrew PoturalskiAGE:28PO:0OV:69
Glenn GawdinAGE:25PO:0OV:68
Dylan HollowayAGE:20PO:0OV:68
Ben JonesAGE:23PO:0OV:66
David CottonAGE:25PO:0OV:66
Aarne TalvitieAGE:23PO:0OV:63
Jamieson ReesAGE:21PO:0OV:63
David PastrnakAGE:26PO:0OV:80
Tom WilsonAGE:28PO:0OV:80
Kevin FialaAGE:26PO:0OV:78
Barclay GoodrowAGE:29PO:0OV:77
Jack RoslovicAGE:25PO:0OV:75
Logan O'ConnorAGE:26PO:0OV:74
Noah GregorAGE:24PO:0OV:71
Joachim BlichfeldAGE:24PO:0OV:70
Vasily PodkolzinAGE:21PO:0OV:70
Gerald MayhewAGE:29PO:0OV:69
Riley BarberAGE:28PO:0OV:68
Michal TeplyAGE:21PO:0OV:66
Tyce ThompsonAGE:23PO:0OV:65
Jonathan DavidssonAGE:25PO:0OV:63
Lukas RousekAGE:23PO:0OV:63

Défense #1Défense #2Gardien
Ivan ProvorovAGE:25PO:0OV:80
Devon ToewsAGE:28PO:0OV:79
Adam LarssonAGE:29PO:0OV:77
Brett PesceAGE:27PO:0OV:76
Henri JokiharjuAGE:23PO:0OV:74
Alexander RomanovAGE:22PO:0OV:74
Josh MahuraAGE:24PO:0OV:70
Mark FriedmanAGE:26PO:0OV:70
Kurtis MacDermidAGE:28PO:0OV:69
Jakub GalvasAGE:23PO:0OV:68
Santeri HatakkaAGE:21PO:0OV:67
Dmitri SamorukovAGE:23PO:0OV:66
Cavan FitzgeraldAGE:26PO:0OV:64
Ryan O'RourkeAGE:20PO:0OV:63
Brennan MenellAGE:25PO:0OV:62
Matthew Kessel (R)AGE:22PO:0OV:61
Oscar KlefbomAGE:29PO:0OV:7
Sergei BobrovskyAGE:34PO:0OV:93
Anthony StolarzAGE:28PO:0OV:85
Ken ApplebyAGE:27PO:0OV:75
Adam ScheelAGE:23PO:0OV:72
Kirill UstimenkoAGE:23PO:0OV:69
Ryan FantiAGE:22PO:0OV:69

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’équipeAnnée de repêchage Choix total Information Lien
Adam EdstromFlyers2020126
Arseny GritsyukFlyers2020152
Blake MurrayFlyers2020106
Braden DoyleFlyers2020169
Brendan BrissonFlyers202126
Carson LambosFlyers202226
Carter MazurFlyers202257
Dmitry OvchinnikovFlyers2021150
Eetu LiuksasFlyers2022138
Ethan HaiderFlyers2020188
Frederick DichowFlyers2020167
Gustav BerglundFlyers2020157
Henri ThrunFlyers202096
Jakub DemekFlyers202297
Jakub MalekFlyers2022154
Joel NystromFlyers202292
Josh BloomFlyers202290
Kirill SlepetsFlyers2020133
Levi MerilainenFlyers202157
Liam Dower-NilssonFlyers2022100
Martin ChromiakFlyers2021109
Oskar MagnussonFlyers2021212
Ryan TverbergFlyers2021181
Sam LipkinFlyers2022164
Scott MorrowFlyers202246
Tomas MazuraFlyers2020183
Ty VoitFlyers202276

Choix au repêchage

Année R1R2R3R4R5R6R7
2023
2024
2025
2026
2027






[2022-09-19 16:46:30] - Oscar Klefbom signed with Flyers for 9 618 180 $ for 1 year(s).
[2022-09-19 16:46:30] - Oscar Klefbom was added to Flyers.
[2022-09-18 20:09:07] - Oscar Klefbom was released.
[2022-09-18 20:09:07] - Flyers paid 9 618 180 $ to release Oscar Klefbom.
[2022-09-17 16:50:31] - TRADE : From Flyers to Capitals : Tyler Seguin (77).
[2022-09-17 16:50:31] - TRADE : From Capitals to Flyers : Adam Larsson (77), Paul Stastny (76).
[2022-09-05 09:53:43] - Tyler Seguin has been selected as assistant for Flyers.
[2022-09-05 09:53:43] - Unknown Player is no longer as assistant for Flyers.
[2022-08-31 22:36:59] - Ryan Fanti signed with Flyers for 950 000 $ for 4 year(s).
[2022-08-31 22:36:59] - Ryan Fanti was added to Flyers.
[2022-08-29 18:11:40] - Adam Scheel signed with Flyers for 910 000 $ for 3 year(s).
[2022-08-29 18:11:40] - Adam Scheel was added to Flyers.
[2022-08-24 16:31:32] - C.J. Smith was released.
[2022-08-24 16:31:32] - Joseph Blandisi was released.
[2022-08-24 16:31:23] - Nolan Stevens was released.
[2022-08-24 16:31:23] - Dmitry Sokolov was released.
[2022-07-17 19:58:25] - Sheldon Dries was released.
[2022-06-26 14:15:39] - TRADE : From Sabres to Flyers : Jack Roslovic (75), Y:2024-RND:4-BUF.
[2022-06-26 14:15:39] - TRADE : From Flyers to Sabres : Brandon Hagel (75).
[2022-06-20 15:57:26] - Matthew Kessel was added to Flyers.
[2022-06-18 21:13:52] - Carson Lambos has been added to Flyers.
[2022-06-18 21:13:25] - Scott Morrow has been added to Flyers.
[2022-06-18 21:13:07] - Carter Mazur has been added to Flyers.
[2022-06-18 21:12:50] - Ty Voit has been added to Flyers.
[2022-06-18 21:12:33] - Josh Bloom has been added to Flyers.
[2022-06-18 21:12:19] - Joel Nystrom has been added to Flyers.
[2022-06-18 21:12:02] - Jakub Demek has been added to Flyers.
[2022-06-18 21:11:44] - Liam Dower-Nilsson has been added to Flyers.
[2022-06-18 21:11:19] - Eetu Liuksas has been added to Flyers.
[2022-06-18 21:10:56] - Jakub Malek has been added to Flyers.
[2022-06-18 21:10:39] - Sam Lipkin has been added to Flyers.



[2022-09-23 15:59:06] Successfully loaded Flyers lines done with STHS Client - 3.3.1.1
[2022-09-22 21:33:13] Farm Game #152 - Dylan Holloway from Phantoms has scored a Hat Trick!
[2022-09-21 21:22:53] Last 7 Days Pro Star : 1 - Patrice Bergeron of Jets (6-5-11) / 2 - Brad Marchand of Flyers (4-3-7) / 3 - Kris Letang of Jets (1-8-9)
[2022-09-21 21:22:46] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2022-09-21 15:53:36] Successfully loaded Flyers lines done with STHS Client - 3.3.1.1
[2022-09-21 15:53:18] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2022-09-19 16:51:12] Pro Game #119 - Brad Marchand from Flyers has scored a Hat Trick!
[2022-09-19 16:47:40] Oscar Klefbom from Flyers suspended for 99 game(s)
[2022-09-19 16:46:30] Oscar Klefbom signed with Flyers for 9 618 180 $ for 1 year(s).
[2022-09-19 16:46:30] Oscar Klefbom was added to Flyers.
[2022-09-18 20:09:07] Oscar Klefbom was released by Flyers.
[2022-09-18 20:09:07] Flyers paid 9 618 180 $ to release Oscar Klefbom.
[2022-09-18 16:09:03] Successfully loaded Flyers lines done with STHS Client - 3.3.1.1
[2022-09-18 16:09:03] Mark Friedman of Flyers was sent down to farm.
[2022-09-17 16:50:31] TRADE : From Flyers to Capitals : Tyler Seguin (77).
[2022-09-17 16:50:31] TRADE : From Capitals to Flyers : Adam Larsson (77), Paul Stastny (76).
[2022-09-15 16:39:47] Successfully loaded Flyers lines done with STHS Client - 3.3.1.1
[2022-09-13 16:32:14] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2022-09-12 16:05:17] Successfully loaded Flyers lines done with STHS Client - 3.3.1.1
[2022-09-12 16:05:13] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2022-09-10 15:46:12] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.



Oscar Klefbom est suspendu indéfiniment.



Flyers Leaders statistiques (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


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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 (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