Connexion

Flyers
GP: 77 | W: 38 | L: 30 | OTL: 9 | P: 85
GF: 214 | GA: 221 | PP%: 19.83% | PK%: 83.57%
DG: Steve Kosten | Morale : 90 | Moyenne d’équipe : 80
Prochains matchs #851 vs Warheads
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Centre de jeu
Flyers
38-30-9, 85pts
2
FINAL
5 Oilers
38-31-7, 83pts
Team Stats
W1StreakL1
18-15-5Home Record20-15-3
20-15-4Away Record18-16-4
6-3-1Last 10 Games8-2-0
2.78Buts par match 2.79
2.87Buts contre par match 2.43
19.83%Pourcentage en avantage numérique20.20%
83.57%Pourcentage en désavantage numérique86.96%
Oilers
38-31-7, 83pts
2
FINAL
3 Flyers
38-30-9, 85pts
Team Stats
L1StreakW1
20-15-3Home Record18-15-5
18-16-4Away Record20-15-4
8-2-0Last 10 Games6-3-1
2.79Buts par match 2.78
2.43Buts contre par match 2.87
20.20%Pourcentage en avantage numérique19.83%
86.96%Pourcentage en désavantage numérique83.57%
Warheads
32-36-7, 71pts
2023-11-12
Flyers
38-30-9, 85pts
Statistiques d’équipe
SOW1SéquenceW1
15-20-3Fiche domicile18-15-5
17-16-4Fiche visiteur20-15-4
4-6-010 derniers matchs6-3-1
2.29Buts par match 2.78
2.76Buts contre par match 2.78
11.01%Pourcentage en avantage numérique19.83%
75.50%Pourcentage en désavantage numérique83.57%
Cunts
37-31-7, 81pts
2023-11-12
Flyers
38-30-9, 85pts
Statistiques d’équipe
W1SéquenceW1
19-15-4Fiche domicile18-15-5
18-16-3Fiche visiteur20-15-4
2-8-010 derniers matchs6-3-1
2.53Buts par match 2.78
2.76Buts contre par match 2.78
15.35%Pourcentage en avantage numérique19.83%
80.63%Pourcentage en désavantage numérique83.57%
Flyers
38-30-9, 85pts
2023-11-12
Chiefs
45-26-7, 97pts
Statistiques d’équipe
W1SéquenceW3
18-15-5Fiche domicile24-9-5
20-15-4Fiche visiteur21-17-2
6-3-110 derniers matchs8-2-0
2.78Buts par match 2.73
2.87Buts contre par match 2.73
19.83%Pourcentage en avantage numérique15.81%
83.57%Pourcentage en désavantage numérique84.16%
Meneurs d'équipe
Jack EichelButs
Jack Eichel
28
Claude GirouxPasses
Claude Giroux
41
Jack EichelPoints
Jack Eichel
62
Justin FaulkPlus/Moins
Justin Faulk
12
Antti RaantaVictoires
Antti Raanta
32
Antti RaantaPourcentage d’arrêts
Antti Raanta
0.911

Statistiques d’équipe
Buts pour
214
2.78 GFG
Tirs pour
2418
31.40 Avg
Pourcentage en avantage numérique
19.8%
47 GF
Début de zone offensive
41.1%
Buts contre
221
2.87 GAA
Tirs contre
2343
30.43 Avg
Pourcentage en désavantage numérique
83.6%%
35 GA
Début de la zone défensive
39.1%
Informations de l'équipe

Directeur généralSteve Kosten
DivisionIafrate
ConférenceCampbell
CapitaineClaude Giroux
Assistant #1Alex Killorn
Assistant #2Joe Pavelski


Informations de l’aréna

NomPerogy Palace
Capacité18,000
Assistance13,983
Billets de saison7,200


Informations de la formation

Équipe Pro23
Équipe Mineure16
Limite contact 39 / 99
Espoirs11


Plafond salarial

Cap Salarial de la Saison estimé113,918,601$
Plafond salarial disponible8,081,399$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour53,969,524$
Dépenses annuelles à ce jour101,557,989$
Revenus de la saison estimés4,260,752$
Dépenses de la saison estimées10,357,981$
Compte bancaire actuel163,491,907$
Compte bancaire projeté157,170,057$


Historique d'équipe

Saison actuelle38-30-9 (85PTS)
Historique94-105-30 (0.410%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Jack EichelX100.00734396927579688279858870537070839086027310,000,000$
2Andrei SvechnikovXX100.0087557091747888853883866380676981908602467,750,000$
3Mathew BarzalXX100.0063418894687983915787756241687177908502689,150,000$
4Claude Giroux (C)XX100.0073438783677996839984897161888984908503626,500,000$
5Joe Pavelski (A)X100.0076439674707899868686856368929381908403913,500,000$
6Viktor ArvidssonX100.0061419084647689773980856563707279908203114,250,000$
7Alex Killorn (A)XX100.0069538484737699764481848061808782908103446,250,000$
8Alexander Barabanov (R)XX100.0067429080687886813482736545606075907902912,500,000$
9Scott LaughtonXX100.0085458180717890748476748025707077907802933,000,000$
10Nic DowdX100.0086458777726582628964728725687074907803321,300,000$
11Ivan BarbashevXXX100.0087588585697599754377727325707376917602855,000,000$
12Alexander KerfootXX100.0069428883666899674572628275717371917002923,500,000$
13Shitty-Kitty GangbangX100.009530859585959095207065954075751909022988,500,000$
14Dmitry OrlovX100.0086458984738688712570518525778170908103227,750,000$
15Artem ZubX100.0090577982758084592550488125616164908002844,600,000$
16Ryan PulockX100.0082459480798286672560488525677066908002935,159,000$
17Justin FaulkX100.0079458784778896772571548325798271908003246,500,000$
18Nikita ZadorovX100.0086607380907695612548607825717267907902913,750,000$
Rayé
1Barclay GoodrowXX100.0080908077826798587269648125727671907803143,641,667$
2Isac LundestromX100.0061419882706788597863588325636367917102411,800,000$
3Ethan BearX100.0067528785717677612555488225666763907402612,200,000$
Équipe Mineure
1Joshua NorrisX100.0080728280725558778568866042595954907802477,950,000$
2Pavel Dorofeyev (R)XX100.005940897265677572256087637545457481730231825,000$
3Connor BrownX100.007768858168535671797363794270705591720301775,000$
4William Dufour (R)X100.007573786573798462505962645944446590700223925,000$
5Elliot Desnoyers (R)XX100.007365926665778163795765636244446690680223854,167$
6Brayden Tracey (R)X100.007369827069717558505556625344446190670222966,000$
7Alexander Holtz (R)X100.006141877870566466255570572546466690660221925,000$
8Nicholas RobertsonX100.007742997458585168566564702546466890660221821,667$
9Egor Afanasyev (R)XXX100.007944957075579061255057662545456290650231789,167$
10Jan Mysak (R)XX100.007364937264646850634551604844445790640213902,500$
11Noel Gunler (R)X100.007367886867504762505762635944446390630222862,500$
12Connor Zary (R)X100.006865765865767964806361615844446390620221925,000$
13Martin FehervaryX100.0097578678758090592551508625606166928202432,675,000$
14Rasmus SandinX100.0084688483677878742568506825606166907402421,400,000$
15Jeremie Poirier (R)X100.007472796772808656255246624444445890690223833,333$
MOYENNE D’ÉQUIPE100.00774886847377907450726977417274709080
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
1Antti Raanta100.007657587181709173807560646575907703411,500,000$
2Frederik Andersen100.006573739468638566716677717470907303423,400,000$
Rayé
Équipe Mineure
1Laurent Brossoit100.006851528176618666766856585869917303111,750,000$
MOYENNE D’ÉQUIPE100.0071656683756788707671696870739075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jack EichelFlyersC71283462-120351312608514110.77%14140619.8051015421810001626350.24%165498100.8809000554
2Shitty-Kitty GangbangFlyersD77184058-22640173146220601038.18%123196925.57911201072200002174210.00%086000.5900000442
3Claude GirouxFlyersC/LW77144155-3320101149222661786.31%13144918.83513184218700031032160.00%159586000.7669000405
4Andrei SvechnikovFlyersLW/RW77212748-645518086230741749.13%10142718.544913392040003598132.18%87132100.67310010262
5Mathew BarzalFlyersC/LW77143347-410055117226521566.19%9133917.4021214451910002262136.31%168104100.7036000023
6Viktor ArvidssonFlyersRW77192544-812034711655610411.52%8128616.7045932190000003230.77%7861000.6801000132
7Alex KillornFlyersC/LW77192140-11135611191704712611.18%24113514.740002140001583237.35%100426000.7000100521
8Justin FaulkFlyersD77726331230091808026408.75%89146719.0535840129000079000.00%027000.4500000213
9Joe PavelskiFlyersRW77151530-161555948152411009.87%11126316.415101535206000001148.51%10165000.4724001121
10Dmitry OrlovFlyersD75121628-18280876979235515.19%133175423.408513282020000175220.00%0114000.3200000510
11Ryan PulockFlyersD7532326825572626822474.41%106143819.18268251460000157110.00%014000.3600010021
12Alexander BarabanovFlyersLW/RW771010201100295511329818.85%784510.99000010000192025.93%5440110.4700000112
13Scott LaughtonFlyersC/LW7711920-1246010569100306311.00%1385811.15000000001570254.89%26662100.4700000130
14Ivan BarbashevFlyersC/LW/RW6871118246101138411120776.31%13101614.940004230002260129.76%8421000.3500011031
15Nikita ZadorovFlyersD7601414-118735129364414390.00%77123516.26022835000170000.00%024000.2300232001
16Nic DowdFlyersC776612-5120738659184310.17%136758.770002800031570056.57%74610100.3600000101
17Alexander KerfootFlyersC/LW440101026021344510460.00%549311.230000000031140034.24%25700000.4000000000
18Artem ZubFlyersD50167-123758338269343.85%5487017.40011652000038000.00%011000.1600001011
19Ethan BearFlyersD50055760242414690.00%284679.3400004000022000.00%003000.2100000000
20Isac LundestromFlyersC22235-100424243118.33%32159.81000290002190144.19%4300000.4600000100
21Barclay GoodrowFlyersC/LW33224-4752117222119.09%23289.95000000000420066.67%1801000.2400001000
22Martin FehervaryBlazers (KIE)D5000-200762310.00%49719.4900011600004000.00%004000.00%00000000
Statistiques d’équipe totales ou en moyenne1416209377586-1045337515571551243269616398.59%7592304216.2747891364602026000241471321949.57%61558279610.511439366333630
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
1Antti RaantaFlyers66322380.9112.663833411701908197410.667366411566
2Frederik AndersenFlyers166710.8943.2684700464340000.66731364010
Statistiques d’équipe totales ou en moyenne82383090.9082.77468041216234219741397775576


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 moyenSalaire moyen restantPlafond 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
Alex KillornFlyersC/LW341989-09-13No197 Lbs6 ft1NoNoNo4Pro & Farm6,250,000$580,601$6,250,000$580,601$6,250,000$580,601$No6,250,000$6,250,000$6,250,000$Lien / Lien NHL
Alexander BarabanovFlyersLW/RW291994-06-16Yes192 Lbs5 ft10NoNoNo1Pro & Farm2,500,000$232,240$2,500,000$232,240$2,500,000$232,240$No
Alexander KerfootFlyersC/LW291994-08-10No185 Lbs5 ft10NoNoNo2Pro & Farm3,500,000$325,137$3,500,000$325,137$3,500,000$325,137$No3,500,000$Lien / Lien NHL
Andrei SvechnikovFlyersLW/RW242000-03-25No195 Lbs6 ft2NoNoNo6Pro & Farm7,750,000$719,945$7,750,000$719,945$7,750,000$719,945$No7,750,000$7,750,000$7,750,000$7,750,000$7,750,000$Lien
Antti RaantaFlyersG341989-05-11No195 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$139,344$1,500,000$139,344$1,500,000$139,344$NoLien / Lien NHL
Artem ZubFlyersD281995-10-02No202 Lbs6 ft2NoNoNo4Pro & Farm4,600,000$427,322$4,600,000$427,322$4,600,000$427,322$No4,600,000$4,600,000$4,600,000$Lien
Barclay GoodrowFlyersC/LW311993-02-25No215 Lbs6 ft2NoNoNo4Pro & Farm3,641,667$338,297$3,641,667$338,297$3,641,667$338,297$No3,641,667$3,641,667$3,641,667$Lien / Lien NHL
Claude GirouxFlyersC/LW361988-01-11No185 Lbs5 ft11NoNoNo2Pro & Farm6,500,000$603,825$6,500,000$603,825$6,500,000$603,825$No6,500,000$Lien / Lien NHL
Dmitry OrlovFlyersD321991-07-23No208 Lbs5 ft11NoNoNo2Pro & Farm7,750,000$719,945$7,750,000$719,945$7,750,000$719,945$No7,750,000$Lien / Lien NHL
Ethan BearFlyersD261997-06-26No197 Lbs5 ft11NoNoNo1Pro & Farm2,200,000$204,372$2,200,000$204,372$2,200,000$204,372$NoLien / Lien NHL
Frederik AndersenFlyersG341989-10-02No238 Lbs6 ft4NoNoNo2Pro & Farm3,400,000$315,847$3,400,000$315,847$3,400,000$315,847$No3,400,000$Lien / Lien NHL
Isac LundestromFlyersC241999-11-06No191 Lbs6 ft0NoNoNo1Pro & Farm1,800,000$167,213$1,800,000$167,213$1,800,000$167,213$NoLien
Ivan BarbashevFlyersC/LW/RW281995-12-14No187 Lbs6 ft0NoNoNo5Pro & Farm5,000,000$464,481$5,000,000$464,481$5,000,000$464,481$No5,000,000$5,000,000$5,000,000$5,000,000$Lien / Lien NHL
Jack EichelFlyersC271996-10-28No203 Lbs6 ft2NoNoNo3Pro & Farm10,000,000$928,962$10,000,000$928,962$10,000,000$928,962$No10,000,000$10,000,000$Lien / Lien NHL
Joe PavelskiFlyersRW391984-07-11No195 Lbs5 ft11NoNoNo1Pro & Farm3,500,000$325,137$3,500,000$325,137$3,500,000$325,137$NoLien / Lien NHL
Justin FaulkFlyersD321992-03-20No217 Lbs6 ft0NoNoNo4Pro & Farm6,500,000$603,825$6,500,000$603,825$6,500,000$603,825$No6,500,000$6,500,000$6,500,000$Lien / Lien NHL
Mathew BarzalFlyersC/LW261997-05-26No187 Lbs6 ft0NoNoNo8Pro & Farm9,150,000$850,000$9,150,000$850,000$9,150,000$850,000$No9,150,000$9,150,000$9,150,000$9,150,000$9,150,000$9,150,000$9,150,000$Lien / Lien NHL
Nic DowdFlyersC331990-05-27No195 Lbs6 ft1NoNoNo2Pro & Farm1,300,000$120,765$1,300,000$120,765$1,300,000$120,765$No1,300,000$Lien / Lien NHL
Nikita ZadorovFlyersD291995-04-16No235 Lbs6 ft6NoNoNo1Pro & Farm3,750,000$348,361$3,750,000$348,361$3,750,000$348,361$NoLien / Lien NHL
Ryan PulockFlyersD291994-10-06No217 Lbs6 ft2NoNoNo3Pro & Farm5,159,000$479,251$5,159,000$479,251$5,159,000$479,251$No5,159,000$5,159,000$Lien / Lien NHL
Scott LaughtonFlyersC/LW291994-05-30No190 Lbs6 ft1NoNoNo3Pro & Farm3,000,000$278,689$5,296,000$491,978$3,000,000$278,689$No3,000,000$3,000,000$Lien / Lien NHL
Shitty-Kitty GangbangFlyersD291994-09-22No205 Lbs6 ft0NoNoNo8Pro & Farm8,500,000$789,617$8,500,000$789,617$8,500,000$789,617$No8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$Lien / Lien NHL
Viktor ArvidssonFlyersRW311993-04-08No180 Lbs5 ft9NoNoNo1Pro & Farm4,250,000$394,809$4,250,000$394,809$4,250,000$394,809$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.13200 Lbs6 ft13.004,847,855$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
111,500,667$92,000,667$69,550,667$51,391,667$30,400,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andrei SvechnikovJack EichelIvan Barbashev30122
2Mathew BarzalClaude GirouxJoe Pavelski28122
3Scott LaughtonAlex KillornViktor Arvidsson26122
4Alexander KerfootNic DowdAlexander Barabanov16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shitty-Kitty GangbangJustin Faulk30122
2Ryan PulockDmitry Orlov28122
3Nikita ZadorovArtem Zub26122
4Shitty-Kitty GangbangJustin Faulk16122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andrei SvechnikovClaude GirouxViktor Arvidsson55122
2Mathew BarzalJack EichelJoe Pavelski45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shitty-Kitty GangbangJustin Faulk55122
2Ryan PulockDmitry Orlov45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nic DowdAlexander Kerfoot55122
2Scott LaughtonAlex Killorn45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shitty-Kitty GangbangDmitry Orlov55122
2Ryan PulockJustin Faulk45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Scott Laughton55122Shitty-Kitty GangbangDmitry Orlov55122
2Nic Dowd45122Ryan PulockArtem Zub45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Claude GirouxAndrei Svechnikov55122
2Jack EichelViktor Arvidsson45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shitty-Kitty GangbangDmitry Orlov55122
2Ryan PulockJustin Faulk45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andrei SvechnikovJack EichelJoe PavelskiShitty-Kitty GangbangDmitry Orlov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander BarabanovAlexander KerfootNic DowdArtem ZubNikita Zadorov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ivan Barbashev, Alex Killorn, Alexander BarabanovMathew Barzal, Alex KillornIvan Barbashev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Zadorov, Shitty-Kitty Gangbang, Ryan PulockNikita ZadorovDmitry Orlov, Ryan Pulock
Tirs de pénalité
Jack Eichel, Andrei Svechnikov, Claude Giroux, Mathew Barzal, Joe Pavelski
Gardien
#1 : Antti Raanta, #2 : Frederik Andersen
Lignes d’attaque personnalisées en prolongation
Jack Eichel, Andrei Svechnikov, Claude Giroux, Mathew Barzal, Joe Pavelski, Viktor Arvidsson, Viktor Arvidsson, Alex Killorn, Alexander Barabanov, Scott Laughton, Nic Dowd
Lignes de défense personnalisées en prolongation
Shitty-Kitty Gangbang, Artem Zub, Ryan Pulock, Justin Faulk, Nikita Zadorov


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
1Aces330000001174110000004222200000075261.0001120310045209337282807720256111436.36%40100.00%01242248949.90%1164237249.07%635119952.96%704872213718
2Apsos201010006601010000034-11000100032120.5006111700032167172524164201750400.00%6350.00%01242248949.90%1164237249.07%635119952.96%473348142412
3Bunnies2010001089-1100000105411010000035-220.5008111900502261279226663329435360.00%120100.00%01242248949.90%1164237249.07%635119952.96%402659152511
4Chiefs2000000246-22000000246-20000000000020.5004711002201762228211365186378112.50%30100.00%01242248949.90%1164237249.07%635119952.96%523342173418
5Cunts1010000004-4000000000001010000004-400.0000000000003813101502910921200.00%2150.00%01242248949.90%1164237249.07%635119952.96%2619217116
6Fletushkas7220201026260411020001516-13110001011101100.71426477300896427787899510215673914921628.57%16568.75%01242248949.90%1164237249.07%635119952.96%176126164479145
7Fucksticks2020000026-41010000014-31010000012-100.000246001100512020110792222466116.67%90100.00%01242248949.90%1164237249.07%635119952.96%412654152411
8Giants30200001811-31010000034-12010000157-210.1678142200026098213638610028106012541.67%50100.00%01242248949.90%1164237249.07%635119952.96%704567244723
9Gladiators20100100811-31010000046-21000010045-110.25081523003320642121220702615437114.29%3166.67%01242248949.90%1164237249.07%635119952.96%503546132412
10Jets2010000136-31010000013-21000000123-110.25035800030251122413565222635500.00%13192.31%01242248949.90%1164237249.07%635119952.96%412758152512
11Mariners833001101517-2421000109814120010069-390.5631524391034712198061785249785213824416.67%25292.00%01242248949.90%1164237249.07%635119952.96%1871231826311658
12Meltdown320001009721000010045-12200000052350.83391726001530822123371833019618225.00%7185.71%01242248949.90%1164237249.07%635119952.96%654067254925
13Mongoloids6410100023149311010001073330000001376100.83323416400471112046768681157553211429620.69%15286.67%01242248949.90%1164237249.07%635119952.96%152108131437639
14Oilers714010101624-83110001068-2403010001016-660.4291626420036532057257691123393461281516.67%17664.71%01242248949.90%1164237249.07%635119952.96%1591061655310148
15Phantoms3110010011110210001006511010000056-130.5001120310043409227323301042132538337.50%11281.82%01242248949.90%1164237249.07%635119952.96%704872223919
16Riots824001102020040300100814-642100010126670.438203555016762217618570623193601742129.52%24387.50%01242248949.90%1164237249.07%635119952.96%1871231886011457
17Shitbirds22000000844110000005321100000031241.000816240041307324242506925840300.00%4175.00%01242248949.90%1164237249.07%635119952.96%503644122412
18Steamers211000006511010000034-11100000031220.500611170021306417311604516193712216.67%7271.43%01242248949.90%1164237249.07%635119952.96%503543142613
19Trash Pandas22000000936110000005231100000041341.0009162500144074282323055128578337.50%40100.00%01242248949.90%1164237249.07%635119952.96%483446152512
20Warheads713020101516-13110100064240201010912-380.57115264100453419153537811198463513415213.33%14378.57%01242248949.90%1164237249.07%635119952.96%170118161509549
21Wuhan Clan3120000068-2211000006601010000002-220.333611170021301213145450892329741317.69%12283.33%01242248949.90%1164237249.07%635119952.96%775566203619
Total77253007564214221-738111504332108115-7391415032321061060850.5522143775911157727221241875879283176234375853815552374719.83%2133583.57%01242248949.90%1164237249.07%635119952.96%1836125418025731052527
_Since Last GM Reset77253007564214221-738111504332108115-7391415032321061060850.5522143775911157727221241875879283176234375853815552374719.83%2133583.57%01242248949.90%1164237249.07%635119952.96%1836125418025731052527
_Vs Conference54162106353142149-727710042227178-7279110213171710600.5561422483901133485016169051554559964162053132810691663018.07%1382482.61%01242248949.90%1164237249.07%635119952.96%12988801236406763384
_Vs Division379160525092103-111857031204450-61949021304853-5400.5419215825011243127141109353345390431126377232723961515.63%961980.21%01242248949.90%1164237249.07%635119952.96%880597860275519258

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7785W121437759124182343758538155511
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7725307564214221
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3811154332108115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3914153232106106
Derniers 10 matchs
WLOTWOTL SOWSOL
530011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2374719.83%2133583.57%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
7587928317657727221
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
1242248949.90%1164237249.07%635119952.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1836125418025731052527


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 - 2023-10-159Mariners1Flyers4BWSommaire du match
3 - 2023-10-1519Flyers1Mariners2ALSommaire du match
6 - 2023-10-1530Flyers3Oilers2AWXSommaire du match
7 - 2023-10-1638Fletushkas1Flyers2BWXSommaire du match
10 - 2023-10-1649Oilers2Flyers3BWXXSommaire du match
12 - 2023-10-1659Flyers1Riots0AWSommaire du match
14 - 2023-10-1769Flyers1Warheads5ALSommaire du match
16 - 2023-10-1780Warheads1Flyers2BWXSommaire du match
18 - 2023-10-1795Riots4Flyers3BLSommaire du match
21 - 2023-10-18106Flyers3Fletushkas5ALSommaire du match
22 - 2023-10-18116Fletushkas5Flyers6BWXSommaire du match
24 - 2023-10-18124Flyers2Riots1AWXXSommaire du match
27 - 2023-10-19140Mariners2Flyers3BWXXSommaire du match
28 - 2023-10-19143Flyers4Warheads3AWXXSommaire du match
31 - 2023-10-20160Flyers4Mongoloids2AWSommaire du match
33 - 2023-10-20168Riots4Flyers1BLSommaire du match
35 - 2023-10-20182Flyers3Mariners2AWSommaire du match
36 - 2023-10-20190Mariners1Flyers2BWSommaire du match
38 - 2023-10-21200Flyers1Warheads2ALSommaire du match
40 - 2023-10-21213Mongoloids4Flyers1BLSommaire du match
42 - 2023-10-21224Flyers2Oilers3ALSommaire du match
44 - 2023-10-22235Chiefs2Flyers1BLXXSommaire du match
46 - 2023-10-22240Flyers1Giants2ALSommaire du match
48 - 2023-10-22251Flyers1Mariners2ALXSommaire du match
50 - 2023-10-23259Warheads2Flyers1BLSommaire du match
53 - 2023-10-23276Riots2Flyers1BLXSommaire du match
55 - 2023-10-24287Flyers3Meltdown1AWSommaire du match
57 - 2023-10-24298Flyers3Aces2AWSommaire du match
58 - 2023-10-24304Flyers3Mongoloids1AWSommaire du match
59 - 2023-10-24311Phantoms4Flyers3BLXSommaire du match
62 - 2023-10-25327Fletushkas3Flyers5BWSommaire du match
64 - 2023-10-25339Flyers3Bunnies5ALSommaire du match
66 - 2023-10-25346Mariners4Flyers0BLSommaire du match
70 - 2023-10-26365Oilers4Flyers0BLSommaire du match
73 - 2023-10-27381Phantoms1Flyers3BWSommaire du match
74 - 2023-10-27392Flyers5Phantoms6ALSommaire du match
75 - 2023-10-27395Flyers3Fletushkas1AWSommaire du match
79 - 2023-10-28412Jets3Flyers1BLSommaire du match
81 - 2023-10-28425Flyers3Oilers6ALSommaire du match
83 - 2023-10-28431Steamers4Flyers3BLSommaire du match
85 - 2023-10-29442Flyers4Trash Pandas1AWSommaire du match
87 - 2023-10-29451Apsos4Flyers3BLSommaire du match
89 - 2023-10-29462Flyers4Giants5ALXXSommaire du match
93 - 2023-10-30478Riots4Flyers3BLSommaire du match
95 - 2023-10-30492Mongoloids1Flyers6BWSommaire du match
96 - 2023-10-30496Flyers3Steamers1AWSommaire du match
99 - 2023-10-31505Flyers3Riots4ALSommaire du match
101 - 2023-10-31517Flyers4Gladiators5ALXSommaire du match
102 - 2023-10-31525Trash Pandas2Flyers5BWSommaire du match
105 - 2023-11-01538Flyers4Aces3AWSommaire du match
107 - 2023-11-01546Flyers6Riots1AWSommaire du match
108 - 2023-11-01550Meltdown5Flyers4BLXSommaire du match
111 - 2023-11-02566Fucksticks4Flyers1BLSommaire du match
114 - 2023-11-02579Flyers3Apsos2AWXSommaire du match
115 - 2023-11-03588Wuhan Clan1Flyers3BWSommaire du match
119 - 2023-11-03609Flyers2Jets3ALXXSommaire du match
120 - 2023-11-03614Bunnies4Flyers5BWXXSommaire du match
123 - 2023-11-04627Giants4Flyers3BLSommaire du match
127 - 2023-11-05643Flyers0Cunts4ALSommaire du match
129 - 2023-11-05652Fletushkas7Flyers2BLSommaire du match
131 - 2023-11-05668Shitbirds3Flyers5BWSommaire du match
133 - 2023-11-06675Flyers3Shitbirds1AWSommaire du match
135 - 2023-11-06684Flyers1Mariners3ALSommaire du match
137 - 2023-11-06691Flyers3Warheads2AWXSommaire du match
138 - 2023-11-06698Wuhan Clan5Flyers3BLSommaire du match
141 - 2023-11-07715Mongoloids2Flyers3BWXSommaire du match
143 - 2023-11-07727Flyers0Wuhan Clan2ALSommaire du match
145 - 2023-11-08736Warheads1Flyers3BWSommaire du match
146 - 2023-11-08742Flyers6Mongoloids4AWSommaire du match
148 - 2023-11-08753Flyers1Fucksticks2ALSommaire du match
150 - 2023-11-08762Chiefs4Flyers3BLXXSommaire du match
153 - 2023-11-09775Flyers2Meltdown1AWSommaire du match
155 - 2023-11-09786Gladiators6Flyers4BLSommaire du match
156 - 2023-11-09793Flyers5Fletushkas4AWXXSommaire du match
160 - 2023-11-10807Aces2Flyers4BWSommaire du match
163 - 2023-11-11822Flyers2Oilers5ALSommaire du match
165 - 2023-11-11830Oilers2Flyers3BWSommaire du match
170 - 2023-11-12851Warheads-Flyers-
173 - 2023-11-12866Cunts-Flyers-
174 - 2023-11-12873Flyers-Chiefs-
180 - 2023-11-13891Oilers-Flyers-
181 - 2023-11-14897Flyers-Fletushkas-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance174,092147,03358,243114,97537,028
Attendance PCT76.36%77.39%76.64%75.64%97.44%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 13983 - 77.69% 1,420,251$53,969,524$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
101,557,989$ 111,500,667$ 113,796,667$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
111,500,667$ 101,557,989$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,260,752$ 17 609,293$ 10,357,981$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
10,582,602$ 163,491,907$ 157,170,057$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
113,918,601$ 8,081,399$ 122,000,000$ 24,418,601$



Charte de profondeur

Ailier gaucheCentreAilier droit
Andrei SvechnikovAGE:24PO:81OV:86
Claude GirouxAGE:36PO:84OV:85
Mathew BarzalAGE:26PO:77OV:85
Alex KillornAGE:34PO:82OV:81
Alexander Barabanov (R)AGE:29PO:75OV:79
Scott LaughtonAGE:29PO:77OV:78
Barclay GoodrowAGE:31PO:71OV:78
Ivan BarbashevAGE:28PO:76OV:76
Pavel Dorofeyev (R)AGE:23PO:74OV:73
Alexander KerfootAGE:29PO:71OV:70
Elliot Desnoyers (R)AGE:22PO:66OV:68
Brayden Tracey (R)AGE:22PO:61OV:67
Nicholas RobertsonAGE:22PO:68OV:66
Egor Afanasyev (R)AGE:23PO:62OV:65
Jan Mysak (R)AGE:21PO:57OV:64
Jack EichelAGE:27PO:83OV:86
Claude GirouxAGE:36PO:84OV:85
Mathew BarzalAGE:26PO:77OV:85
Alex KillornAGE:34PO:82OV:81
Scott LaughtonAGE:29PO:77OV:78
Nic DowdAGE:33PO:74OV:78
Barclay GoodrowAGE:31PO:71OV:78
Joshua NorrisAGE:24PO:54OV:78
Ivan BarbashevAGE:28PO:76OV:76
Isac LundestromAGE:24PO:67OV:71
Alexander KerfootAGE:29PO:71OV:70
Elliot Desnoyers (R)AGE:22PO:66OV:68
Egor Afanasyev (R)AGE:23PO:62OV:65
Jan Mysak (R)AGE:21PO:57OV:64
Connor Zary (R)AGE:22PO:63OV:62
Andrei SvechnikovAGE:24PO:81OV:86
Joe PavelskiAGE:39PO:81OV:84
Viktor ArvidssonAGE:31PO:79OV:82
Alexander Barabanov (R)AGE:29PO:75OV:79
Ivan BarbashevAGE:28PO:76OV:76
Pavel Dorofeyev (R)AGE:23PO:74OV:73
Connor BrownAGE:30PO:55OV:72
William Dufour (R)AGE:22PO:65OV:70
Alexander Holtz (R)AGE:22PO:66OV:66
Egor Afanasyev (R)AGE:23PO:62OV:65
Noel Gunler (R)AGE:22PO:63OV:63

Défense #1Défense #2Gardien
Shitty-Kitty GangbangAGE:29PO:1OV:90
Martin FehervaryAGE:24PO:66OV:82
Dmitry OrlovAGE:32PO:70OV:81
Justin FaulkAGE:32PO:71OV:80
Ryan PulockAGE:29PO:66OV:80
Artem ZubAGE:28PO:64OV:80
Nikita ZadorovAGE:29PO:67OV:79
Rasmus SandinAGE:24PO:66OV:74
Ethan BearAGE:26PO:63OV:74
Jeremie Poirier (R)AGE:22PO:58OV:69
Antti RaantaAGE:34PO:75OV:77
Frederik AndersenAGE:34PO:70OV:73
Laurent BrossoitAGE:31PO:69OV:73

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
Celle OdeliusFlyers
Danil GushchinFlyers
Eduard SaleFlyers
Francesco PinelliFlyers
Gavin BrindleyFlyers
Gracyn SawchynFlyers
Liam OhgrenFlyers
Matyas SapovalivFlyers
Pavel MintyukovFlyers
Quentin MustyFlyers
Sasha PastujovFlyers

Choix au repêchage

Année R1R2R3R4R5R6
2024KIE GDA FLE ABE KOK KIE FLE STM
2025KIE KIE KIE INV KIE KIE
2026KIE KIE KIE KIE KIE
2027KIE KIE KIE KIE KIE KIE
2028KIE KIE KIE KIE KIE KIE






Flyers Historique de transactions

[2024-03-10 7:22:32 AM] - TRADE : From Crazy Nastyass Badgers to Flyers : Y:2024-RND:2-ABE.
[2024-03-10 7:22:32 AM] - TRADE : From Flyers to Crazy Nastyass Badgers : Michael Bunting (77).
[2024-03-10 7:21:30 AM] - TRADE : From Mariners to Flyers : Ethan Bear (74), Y:2024-RND:2-GDA.
[2024-03-10 7:21:30 AM] - TRADE : From Flyers to Mariners : Christopher Tanev (78).
[2024-03-10 7:18:07 AM] - TRADE : From Flyers to Trash Pandas : Y:2024-RND:5-KIE.
[2024-03-10 7:18:07 AM] - TRADE : From Trash Pandas to Flyers : Isac Lundestrom (71).
[2024-01-21 11:54:01 AM] - New Record for Team's Most Shots (59) in 1 Game for Flyers!
[2024-01-14 8:39:52 AM] - TRADE : From Flyers to Fucksticks : Oskar Sundqvist (72).
[2024-01-14 8:39:52 AM] - TRADE : From Fucksticks to Flyers : Alexander Kerfoot (70).
[2023-12-10 9:30:22 AM] - TRADE : From Fucksticks to Flyers : Joshua Norris (78).
[2023-12-10 9:30:22 AM] - TRADE : From Flyers to Fucksticks : Owen Pickering (P), Y:2025-RND:1-DFB.
[2023-10-21 11:18:10 AM] - Klim Kostin was released.
[2023-10-21 11:18:10 AM] - Flyers paid $0 to release Klim Kostin.
[2023-10-20 1:16:29 PM] - TRADE : From Flyers to Fucksticks : Y:2026-RND:4-KIE.
[2023-10-20 1:16:29 PM] - TRADE : From Fucksticks to Flyers : Pavel Dorofeyev (73).
[2023-10-07 1:25:33 PM] - Tyler Tullio was released.
[2023-10-07 1:25:33 PM] - Flyers paid $0 to release Tyler Tullio.
[2023-10-03 6:59:23 AM] - TRADE : From Jets to Flyers : Y:2025-RND:5-INV.
[2023-10-03 6:59:23 AM] - TRADE : From Flyers to Jets : Pavel Francouz (72).
[2023-10-03 6:55:53 AM] - TRADE : From Warheads to Flyers : Antti Raanta (77).
[2023-10-03 6:55:53 AM] - TRADE : From Flyers to Warheads : Y:2024-RND:3-KIE.
[2023-10-02 10:12:32 AM] - Isaac Ratcliffe was released.
[2023-10-02 10:12:32 AM] - Flyers paid $0 to release Isaac Ratcliffe.
[2023-10-02 10:11:54 AM] - TRADE : From Trash Pandas to Flyers : Y:2024-RND:5-KIE.
[2023-10-02 10:11:54 AM] - TRADE : From Flyers to Trash Pandas : Morgan Geekie (68).
[2023-09-30 2:18:28 PM] - TRADE : From Finger Badgers to Flyers : Y:2025-RND:1-DFB.
[2023-09-30 2:18:28 PM] - TRADE : From Flyers to Finger Badgers : Anders Lee (81), Henri Jokiharju (76).
[2023-09-30 2:17:39 PM] - TRADE : From Shitbirds to Flyers : Mathew Barzal (85).
[2023-09-30 2:17:39 PM] - TRADE : From Flyers to Shitbirds : Y:2024-RND:2-KIE, Y:2025-RND:1-KIE.
[2023-09-30 2:16:50 PM] - TRADE : From Fucksticks to Flyers : Y:2024-RND:2-FLE, Y:2024-RND:5-DFB.
[2023-09-30 2:16:50 PM] - TRADE : From Flyers to Fucksticks : Thomas Novak (80), Noah Warren (P).
[2023-09-26 2:45:24 PM] - Alex Killorn has been selected as assistant for Flyers.
[2023-09-26 2:45:23 PM] - Unknown Player is no longer as assistant for Flyers.
[2023-09-26 2:45:17 PM] - Joe Pavelski has been selected as assistant for Flyers.
[2023-09-26 2:45:15 PM] - Alex Killorn is no longer as assistant for Flyers.
[2023-09-26 2:37:51 PM] - TRADE : From Flyers to Fletushkas : Joel Farabee (74).
[2023-09-26 2:37:51 PM] - TRADE : From Fletushkas to Flyers : Liam Ohgren (P), Y:2024-RND:4-FLE.
[2023-09-24 8:30:12 AM] - TRADE : From Giants to Flyers : Y:2023-RND:6-ULS.
[2023-09-24 8:30:12 AM] - TRADE : From Flyers to Giants : Y:2024-RND:6-KIE.
[2023-09-24 8:10:50 AM] - Laurent Brossoit was added to Flyers.
[2023-09-24 8:10:41 AM] - Alexander Barabanov was added to Flyers.
[2023-09-24 8:10:33 AM] - Thomas Novak was added to Flyers.
[2023-09-24 8:10:26 AM] - Thomas Novak has been added to Flyers.
[2023-09-24 8:10:18 AM] - Gavin Brindley has been added to Flyers.
[2023-09-24 8:10:12 AM] - Eduard Sale has been added to Flyers.
[2023-09-24 8:10:06 AM] - Laurent Brossoit has been added to Flyers.
[2023-09-24 8:09:55 AM] - Quentin Musty has been added to Flyers.
[2023-09-24 8:09:49 AM] - Gracyn Sawchyn has been added to Flyers.
[2023-09-24 8:09:42 AM] - Alexander Barabanov has been added to Flyers.
[2023-09-23 9:31:46 AM] - Christopher Tanev was added to Flyers.
[2023-09-13 2:44:53 PM] - TRADE : From Flyers to Trash Pandas : Y:2023-RND:4-KIE, Y:2024-RND:5-KIE.
[2023-09-13 2:44:53 PM] - TRADE : From Trash Pandas to Flyers : Joe Pavelski (84).
[2023-09-13 2:42:04 PM] - TRADE : From Bunnies to Flyers : Y:2023-RND:5-KOK, Y:2024-RND:3-KOK.
[2023-09-13 2:42:04 PM] - TRADE : From Flyers to Bunnies : Conor Garland (76), Robin Lehner (P).
[2023-08-20 9:32:06 AM] - TRADE : From Flyers to Finger Badgers : Adam Boqvist (67).
[2023-08-20 9:32:06 AM] - TRADE : From Finger Badgers to Flyers : Justin Faulk (80).
[2023-08-20 9:28:42 AM] - TRADE : From Flyers to Bunnies : Anthony Deangelo (75).
[2023-08-20 9:28:42 AM] - TRADE : From Bunnies to Flyers : Martin Fehervary (82), Robin Lehner (P).
[2023-07-08 12:35:54 PM] - TRADE : From Finger Badgers to Flyers : Barclay Goodrow (78).
[2023-07-08 12:35:54 PM] - TRADE : From Flyers to Finger Badgers : Brandon Saad (69).
[2023-07-04 8:30:12 AM] - Tyler Tullio was added to Flyers.
[2023-07-04 8:30:12 AM] - Matyas Sapovaliv was added to Flyers.
[2023-07-04 8:30:12 AM] - Jan Mysak was added to Flyers.
[2023-07-04 8:30:12 AM] - Jeremie Poirier was added to Flyers.
[2023-07-04 8:30:12 AM] - William Dufour was added to Flyers.
[2023-07-04 8:30:12 AM] - Elliot Desnoyers was added to Flyers.



[2024-04-28 11:58:24 AM] Dmitry Orlov from Flyers is back from Upper Body Injury.
[2024-04-28 11:50:01 AM] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-28 11:45:26 AM] Game 793 - Dmitry Orlov from Flyers is injured (Upper Body) and is out for 1 week.
[2024-04-21 11:57:25 AM] Pro Game #742 - Alexander Barabanov from Flyers has scored a Hat Trick!
[2024-04-21 11:40:17 AM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 12:59:45 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 12:43:04 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 12:39:30 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 12:27:35 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 12:14:25 PM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 11:59:56 AM] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-03-10 11:38:15 AM] Auto Lines Partial Function has been run for Flyers.
[2024-03-10 11:37:33 AM] Flyers roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2024-03-10 7:22:32 AM] TRADE : From Crazy Nastyass Badgers to Flyers : Y:2024-RND:2-ABE.
[2024-03-10 7:22:32 AM] TRADE : From Flyers to Crazy Nastyass Badgers : Michael Bunting (77).
[2024-03-10 7:21:31 AM] Maximum Pro Players Limit Reached for Flyers!
[2024-03-10 7:21:30 AM] TRADE : From Mariners to Flyers : Ethan Bear (74), Y:2024-RND:2-GDA.
[2024-03-10 7:21:30 AM] TRADE : From Flyers to Mariners : Christopher Tanev (78).
[2024-03-10 7:18:18 AM] Maximum Pro Players Limit Reached for Flyers!
[2024-03-10 7:18:07 AM] TRADE : From Flyers to Trash Pandas : Y:2024-RND:5-KIE.
[2024-03-10 7:18:07 AM] TRADE : From Trash Pandas to Flyers : Isac Lundestrom (71).
[2024-02-25 11:56:22 AM] Last 7 Days Pro Star : 1 - Valeri Nichushkin of Fletushkas (5-4-9) / 2 - Brock Nelson of Fletushkas (3-4-7) / 3 - Alex Killorn of Flyers (4-1-5)



Pas de blessure ou de suspension.


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
1Shitty-Kitty Gangbang22058134192-4015442839154210.70%353533724.2627346124011212630.00%00.7200
2Claude Giroux22157107164-6441734116988.17%43426419.30143650105022811159.2500.77718
3Jack Eichel2066588153-73816941160910.67%29386318.7612263889000412653.2610.79016
4Alex Killorn2216171132-15452313116489.41%59371416.81717246610179336.3000.7113
5Andrei Svechnikov221547312701455032065889.18%21397818.0012263883000315125.3110.64418

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
1Pavel Francouz1043550110.9053.03560124283298118070.61834
2Antti Raanta66322380.9112.663833411701908197410.66736
3Frederik Andersen74273230.9052.763931221811915200250.61118

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
Saison régulière
202062252904112182177531161202100105842131917020127793-16631823185007362674811211270172068030186257147112651633420.86%1833879.23%01129211353.43%1026192553.30%51593255.26%148010101416465847420
202182194606317209262-5341112205012111123-12418240130598139-4162209381590538058649238978375483054261274261017032234319.28%2484880.65%41355270150.17%1347277548.54%679126753.59%1984139819635801024511
202377253007564214221-738111504332108115-7391415032321061060852143775911157727221241875879283176234375853815552374719.83%2133583.57%01242248949.90%1164237249.07%635119952.96%1836125418025731052527
Total Saison régulière221691050179813605660-5511038490114443243222111315606549281338-5721060510761681137199197184416919224222662341160681720711619452362312419.90%64412181.21%43726730351.02%3537707250.01%1829339853.83%530136635182161929231459
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

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