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Connexion

Flyers
GP: 27 | W: 16 | L: 11
GF: 94 | GA: 83 | PP%: 20.45% | PK%: 81.67%
DG: Libre | Morale : 99 | Moyenne d’équipe : 66

Centre de jeu
Flyers
16-11-0, 32pts
2
3 Avalanche
15-12-0, 30pts
Team Stats
W1SéquenceOTL1
7-7-0Fiche domicile6-6-0
9-4-0Fiche domicile9-6-0
6-2-2Derniers 10 matchs5-4-1
3.48Buts par match 3.07
3.07Buts contre par match 2.52
20.45%Pourcentage en avantage numérique13.64%
81.67%Pourcentage en désavantage numérique83.10%
Avalanche
15-12-0, 30pts
2
3 Flyers
16-11-0, 32pts
Team Stats
OTL1SéquenceW1
6-6-0Fiche domicile7-7-0
9-6-0Fiche domicile9-4-0
5-4-1Derniers 10 matchs6-2-2
3.07Buts par match 3.48
2.52Buts contre par match 3.07
13.64%Pourcentage en avantage numérique20.45%
83.10%Pourcentage en désavantage numérique81.67%
Meneurs d'équipe
Buts
Adam Gaudette
13
Passes
Michael Bunting
23
Points
Adam Gaudette
35
Plus/Moins
Joel Hanley
10
Victoires
Jonas Johansson
14
Pourcentage d’arrêts
Jonas Johansson
0.909

Statistiques d’équipe
Buts pour
94
3.48 GFG
Tirs pour
943
34.93 Avg
Pourcentage en avantage numérique
20.5%
18 GF
Début de zone offensive
41.5%
Buts contre
83
3.07 GAA
Tirs contre
817
30.26 Avg
Pourcentage en désavantage numérique
81.7%%
11 GA
Début de la zone défensive
34.0%
Informations de l'équipe

Directeur généralLibre
EntraîneurJohn Stevens
DivisionMétropolitaine
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,935
Billets de saison2,400


Informations de la formation

Équipe Pro41
Équipe Mineure20
Limite Contrat61 / 68
Espoirs23


Historique d'équipe

Saison actuelle16-11
Historique90-57-13 (0.563%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)16 - 11 (0.593%)
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
1Adam Gaudette (R)X100.0075409480768188807585847072858236827602922,500,000$
2Sam Steel (R)X100.0071557975768587768182767325888148827402832,000,000$
3Michael Bunting (R)X100.0072426775758687845081797325928066817403011,750,000$
4Mikey Eyssimont (R)X100.008883517575847676467368742583693981702291750,000$
5Mikhail Vorobyev (R)X100.00216996974587782678077706282794682690292900,000$
6Juuso Parssinen (R)X100.007545857487817570766966702572624881681251850,833$
7John Beecher (R)X100.007840847589837869786763732571604882681252925,000$
8Marat Khusnutdinov (R)X100.007040908377827870686766712575604882681232925,000$
9Zachary L'Heureux (R)X100.008773607682837373407067702573564883680233863,333$
10Sergei KalininX100.006141847073727476486760675998941581670352700,000$
11Alexander Volkov (R)X100.00383996973667974437172647285815281670281800,000$
12Tom Kuhnhackl (R)X100.004823996775767255535552855897873482640343575,000$
13Klas DahlbeckX100.004619966766370982576728758868523587203421,250,000$
14Jacob Larsson (R)X100.006233996676678174178176812577764781710291800,000$
15Joel Hanley (R)X100.006645827572908571406765762572877381710352700,000$
16Jordan Harris (R)X100.006546828275847676407368742584674181712251842,500$
17Nicolas Beaudin (R)X100.005021997569476883258281682579816682690261800,000$
18Oscar Fantenberg (R)X100.005214996376767659305850805097892882670343700,000$
Rayé
1Gerald Mayhew (R)X100.007457767368616559506762636595905225640331575,000$
2Rodrigo Abols (R)X100.007040827183776568806363652567525024640301775,000$
3Dalton Smith (R)X100.004332986477597563486157705992854934620331575,000$
4Mikhail Maltsev (R)X100.006426996979776756556563662557575824620282575,000$
5Olle Lycksell (R)X100.005640757570826566456560602567605024622262787,500$
6Samuel Fagemo (R)X100.006143717169656366455967592570544824610263575,000$
7Scott Sabourin (R)X100.005461535866727162436660564289815324600333575,000$
8Jonas Rondbjerg (R)X100.005941726275716465496159662569604724600273575,000$
9Tanner Laczynski (R)X100.005742706565676763446258662575675024602291762,500$
10Garrett Wilson (R)X100.006032816775478153575148735983703324590352575,000$
11Max Willman (R)X100.005643726569696663425956582567644724590313575,000$
12Jackson Cates (R)X100.006040736872646562565756602567584524591281775,000$
13Sammy Walker (R)X100.005543726861676665446459582567554725592272855,000$
14Jacob Peterson (R)X100.005842736867656262616057582565544824582261842,500$
15Rutger McGroarty (R)X100.006143676266636164446357542561505025570223950,000$
16Adam Wilsby (R)X100.006240827578876569406463712570524937660253775,000$
17Aaron Ness (R)X100.00283996871687753225446805499903624640361600,000$
18Trevor Carrick (R)X100.003426997073667558305550735487824425630312575,000$
19John Gilmour (R)X100.004124996874747756305451655591853825630331575,000$
20Louie Belpedio (R)X100.005043686772666662405657642580795125610301575,000$
MOYENNE D’ÉQUIPE100.00593782707472736848666369377972465165
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
1Jonas Johansson (R)98.008280799181999999908175858950828603012,500,000$
2Samuel Ersson (R)100.00838587809189848586873082605351822261859,167$
Rayé
1Ivan Fedotov (R)100.00817777928182798081804073585131780292950,000$
MOYENNE D’ÉQUIPE99.3382818188849087888683488069515582
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens7780778564591CAN5821,000,000$


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
1Adam GaudetteFlyers (PHI)C27132235-200468495337013.68%1057421.29281014810001562060.31%7662011001.2200000340
2Michael BuntingFlyers (PHI)RW27102333-43115673911642908.62%754020.021101118800004291050.00%38308001.2200111121
3Sam SteelFlyers (PHI)C25111324-13010605790335412.22%547418.981344540001383056.47%510186001.0100011230
4Zachary L'HeureuxFlyers (PHI)LW2791019-13410893981134811.11%947617.653141159000000033.33%27127000.8000101211
5Mikhail VorobyevFlyers (PHI)C27611174204307813487.69%837113.75011112000190056.39%266182000.9200000110
6Mikey EyssimontFlyers (PHI)LW26691535115653447112612.77%1449419.033258720004272044.12%34108000.6100201121
7Sergei KalininFlyers (PHI)RW278614620421446183717.39%1038814.39112426000002154.55%2283000.7200000120
8Alexander VolkovFlyers (PHI)RW245813-300152750164610.00%1238816.21112336000001037.50%16137000.6700000001
9Klas DahlbeckFlyers (PHI)D25481240014574518188.89%3359323.75314679000152000%01521100.4000000001
10Jacob LarssonFlyers (PHI)D2719107002451341782.94%3258221.56101158000039000%01223000.3400000000
11Joel HanleyFlyers (PHI)D272810101004341411184.88%3462623.20134682000149100%0723000.3200000001
12Juuso ParssinenFlyers (PHI)LW27628-140512339173615.38%829010.77000030000142031.25%1657000.5500000001
13Marat KhusnutdinovFlyers (PHI)LW27448875411839142710.26%530111.1700005000051036.36%1195000.5300001011
14Jordan HarrisFlyers (PHI)D27167-1231550474319192.33%3159622.09112668000043000%01311000.2300012001
15John BeecherFlyers (PHI)C27437280331738121410.53%42388.85000010000120055.56%7242000.5900000001
16Nicolas BeaudinFlyers (PHI)D1306600031611880%519314.880000000000000%075000.6200000001
17Oscar FantenbergFlyers (PHI)D27145-4001831196105.26%2243816.260000400007000%0020000.2300000001
18Tom KuhnhacklFlyers (PHI)RW27303200622173217.65%92157.9800001000001066.67%329000.2800000100
19Adam WilsbyFlyers (PHI)D14022-78010199110%1821915.700000000003000%0110000.1800000000
20Gerald MayhewFlyers (PHI)RW4011000202010%0256.320000000000000%000000.7900000000
21Trevor CarrickFlyers (PHI)D2000-100051100%23216.490000000000000%00000000000000
22Dalton SmithFlyers (PHI)LW5000100020000%0244.9600004000020066.67%30000000000000
23Rodrigo AbolsFlyers (PHI)C2000-100312000%0178.93000000000000100.00%42000000000000
Statistiques d’équipe totales ou en moyenne4919415524921210706866749433065719.97%278810816.51183250827340001339616156.94%1788206188100.6100437121612
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
1Jonas JohanssonFlyers (PHI)2214520.9092.74129200596472800000216202
2Samuel ErssonFlyers (PHI)72310.8643.983470023169631100621000
Statistiques d’équipe totales ou en moyenne2916830.9003.00163900828163431102727202


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aaron NessFlyers (PHI)D361990-05-18USAYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------
Adam GaudetteFlyers (PHI)C291996-10-03USAYes187 Lbs6 ft1NoNoN/ANoNo22025-08-09FalseFalsePro & Farm2,500,000$0$0$No2,500,000$--------2,500,000$--------No--------
Adam WilsbyFlyers (PHI)D252000-08-07SWEYes188 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-05FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Alexander VolkovFlyers (PHI)RW281997-08-02RUSYes192 Lbs6 ft1NoNoTrade2024-01-28NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Dalton SmithFlyers (PHI)LW331992-06-30CANYes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm575,000$0$0$No---------------------------
Garrett WilsonFlyers (PHI)RW351991-03-16CANYes199 Lbs6 ft2NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Gerald MayhewFlyers (PHI)RW331992-12-31USAYes170 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm575,000$0$0$No---------------------------
Ivan FedotovFlyers (PHI)G291996-11-28FINYes214 Lbs6 ft7NoNoAssign ManuallyNoNo22025-10-04FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------
Jackson CatesFlyers (PHI)C281997-09-28USAYes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Jacob LarssonFlyers (PHI)D291997-04-29SWEYes197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Jacob PetersonFlyers (PHI)LW261999-07-19SWEYes170 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No---------------------------
Joel HanleyFlyers (PHI)D351991-06-08CANYes186 Lbs5 ft11NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
John BeecherFlyers (PHI)C252001-04-05USAYes220 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-17FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
John GilmourFlyers (PHI)D331993-05-17CANYes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$0$0$No---------------------------
Jonas JohanssonFlyers (PHI)G301995-09-19SWEYes218 Lbs6 ft5NoNoN/ANoNo12025-08-09FalseFalsePro & Farm2,500,000$0$0$No---------------------------
Jonas RondbjergFlyers (PHI)LW271999-03-31DENYes196 Lbs6 ft2NoNoN/ANoNo32025-08-09FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Jordan HarrisFlyers (PHI)D252000-07-07USAYes189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No---------------------------
Juuso ParssinenFlyers (PHI)LW252001-02-01FINYes212 Lbs6 ft3NoNoTrade2025-10-04NoNo1FalseFalsePro & Farm850,833$0$0$No---------------------------
Klas DahlbeckFlyers (PHI)D341991-07-06SWENo198 Lbs6 ft2NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------
Louie BelpedioFlyers (PHI)D301996-05-14USAYes196 Lbs5 ft11NoNoN/ANoNo12024-09-08FalseFalsePro & Farm575,000$0$0$No---------------------------
Marat KhusnutdinovFlyers (PHI)LW232002-07-17RUSYes176 Lbs5 ft11NoNoAssign ManuallyNoNo22024-08-17FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Max WillmanFlyers (PHI)C311995-02-13USAYes195 Lbs6 ft0NoNoN/ANoNo32025-08-09FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Michael BuntingFlyers (PHI)RW301995-09-17CANYes186 Lbs6 ft0NoNoTrade2025-10-04NoNo12024-09-14FalseFalsePro & Farm1,750,000$0$0$No---------------------------
Mikey EyssimontFlyers (PHI)LW291996-09-09USAYes201 Lbs6 ft0NoNoTrade2024-01-28NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Mikhail MaltsevFlyers (PHI)LW281998-03-12RUSYes220 Lbs6 ft3NoNoTrade2024-01-28NoNo22024-09-08FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Mikhail VorobyevFlyers (PHI)C291997-01-05RUSYes194 Lbs6 ft2NoNoN/ANoNo22025-08-09FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Nicolas BeaudinFlyers (PHI)D261999-10-07CANYes168 Lbs5 ft11NoNoTrade2024-01-28NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Olle LycksellFlyers (PHI)C261999-08-24SWEYes163 Lbs5 ft10NoNoAssign ManuallyNoNo22024-08-25FalseFalsePro & Farm787,500$0$0$No787,500$--------787,500$--------No--------
Oscar FantenbergFlyers (PHI)D341991-10-07SWEYes206 Lbs6 ft0NoNoFree AgentNoNo32025-09-27FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Rodrigo AbolsFlyers (PHI)C301996-01-05LVAYes206 Lbs6 ft4NoNoAssign ManuallyNoNo12025-10-11FalseFalsePro & Farm775,000$0$0$No---------------------------
Rutger McGroartyFlyers (PHI)C222004-03-30USAYes205 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-05FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Sam SteelFlyers (PHI)C281998-02-03CANYes189 Lbs6 ft0NoNoN/ANoNo32025-08-09FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Sammy WalkerFlyers (PHI)RW271999-06-07USAYes174 Lbs5 ft10NoNoAssign ManuallyNoNo22024-08-30FalseFalsePro & Farm855,000$0$0$No855,000$--------855,000$--------No--------
Samuel ErssonFlyers (PHI)G261999-10-20SWEYes194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------
Samuel FagemoFlyers (PHI)LW262000-03-14SWEYes200 Lbs6 ft0NoNoN/ANoNo32025-08-09FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Scott SabourinFlyers (PHI)RW331992-07-30CANYes207 Lbs6 ft3NoNoFree Agent2024-12-22NoNo32025-09-21FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Sergei KalininFlyers (PHI)RW351991-03-17RUSNo191 Lbs6 ft3NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
Tanner LaczynskiFlyers (PHI)C291997-06-01USAYes190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm762,500$0$0$No---------------------------
Tom KuhnhacklFlyers (PHI)RW341992-01-21GERYes196 Lbs6 ft2NoNoFree AgentNoNo32025-09-21FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Trevor CarrickFlyers (PHI)D311994-07-04CANYes189 Lbs6 ft2NoNoTrade2024-12-22NoNo22024-09-18FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Zachary L'HeureuxFlyers (PHI)LW232003-05-15CANYes197 Lbs5 ft11NoNoAssign ManuallyNoNo32025-09-05FalseFalsePro & Farm863,333$0$0$No863,333$863,333$-------863,333$863,333$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4129.15194 Lbs6 ft11.80887,520$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikey EyssimontAdam GaudetteMichael Bunting35122
2Zachary L'HeureuxSam SteelAlexander Volkov35122
3Marat KhusnutdinovMikhail VorobyevSergei Kalinin25122
4Juuso ParssinenJohn BeecherTom Kuhnhackl5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Klas DahlbeckJoel Hanley35122
2Jordan HarrisJacob Larsson35122
3Nicolas BeaudinOscar Fantenberg30122
4Klas DahlbeckJoel Hanley0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikey EyssimontAdam GaudetteMichael Bunting60122
2Zachary L'HeureuxSam SteelAlexander Volkov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Klas DahlbeckJoel Hanley60122
2Jordan HarrisJacob Larsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam GaudetteSam Steel60122
2Michael BuntingMikey Eyssimont40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Klas DahlbeckJoel Hanley60122
2Jordan HarrisJacob Larsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Gaudette60122Klas DahlbeckJoel Hanley60122
2Sam Steel40122Jordan HarrisJacob Larsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam GaudetteSam Steel60122
2Michael BuntingMikey Eyssimont40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Klas DahlbeckJoel Hanley60122
2Jordan HarrisJacob Larsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikey EyssimontAdam GaudetteMichael BuntingKlas DahlbeckJoel Hanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikey EyssimontAdam GaudetteMichael BuntingKlas DahlbeckJoel Hanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikhail Vorobyev, Marat Khusnutdinov, Juuso ParssinenMikhail Vorobyev, Marat KhusnutdinovJuuso Parssinen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Beaudin, Oscar Fantenberg, Jordan HarrisNicolas BeaudinOscar Fantenberg, Jordan Harris
Tirs de pénalité
Adam Gaudette, Sam Steel, Michael Bunting, Mikey Eyssimont, Mikhail Vorobyev
Gardien
#1 : Jonas Johansson, #2 : Samuel Ersson
Lignes d’attaque personnalisées en prolongation
Adam Gaudette, Sam Steel, Michael Bunting, Mikey Eyssimont, Mikhail Vorobyev, Zachary L'Heureux, Marat Khusnutdinov, Juuso Parssinen, John Beecher, Alexander Volkov
Lignes de défense personnalisées en prolongation
Klas Dahlbeck, Joel Hanley, Jordan Harris, Jacob Larsson, Nicolas Beaudin


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
TotalDomicile Visiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT RI
1Avalanche7430000020200422000001012-232100000108280.5712031510031253442593163272831720171251721000.00%10190.00%043874259.03%33460854.93%24643856.16%611368566236464236
2Islanders7430000024231321000001293422000001214-280.57124396300312534424431632728317227727618125624.00%18666.67%043874259.03%33460854.93%24643856.16%611368566236464236R5
3Penguins74300000252324220000011101321000001413180.57125457010312534421831632728317206713518234617.65%15286.67%043874259.03%33460854.93%24643856.16%611368566236464236R5
4Senateurs6420000025178312000001212033000000135880.66725406500312534422231632728317183647415119631.58%17288.24%043874259.03%33460854.93%24643856.16%611368566236464236
Total271611000009483111477000004543213940000049409320.5939415524910312534494331632728317817278210686881820.45%601181.67%043874259.03%33460854.93%24643856.16%611368566236464236
_Since Last GM Reset271611000009483111477000004543213940000049409320.5939415524910312534494331632728317817278210686881820.45%601181.67%043874259.03%33460854.93%24643856.16%611368566236464236
_Vs Conference20128000007463111055000003531410730000039327240.6007412419810312534468431632728317616207185514781823.08%501080.00%043874259.03%33460854.93%24643856.16%611368566236464236
_Vs Division148600000494637430000023194743000002627-1160.571498413310312534446231632728317433143111363591220.34%33875.76%043874259.03%33460854.93%24643856.16%611368566236464236

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2732W19415524994381727821068610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
27161100009483
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
147700004543
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
139400004940
Derniers 10 matchs
WLOTWOTL SOWSOL
620200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
881820.45%601181.67%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
316327283173125344
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
43874259.03%33460854.93%24643856.16%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
611368566236464236


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
14Penguins4Flyers3LR5Sommaire du match
312Penguins2Flyers5WSommaire du match
520Flyers1Penguins8LR5Sommaire du match
728Flyers7Penguins3WSommaire du match
936Penguins3Flyers1LR5Sommaire du match
1144Flyers6Penguins2WSommaire du match
1352Penguins1Flyers2WXR5Sommaire du match
1558Flyers2Islanders3LSommaire du match
1762Flyers1Islanders5LR5Sommaire du match
1966Islanders4Flyers3LSommaire du match
2170Islanders3Flyers6WR5Sommaire du match
2374Flyers5Islanders4WSommaire du match
2578Islanders2Flyers3WXR5Sommaire du match
2782Flyers4Islanders2WSommaire du match
2985Flyers2Senateurs1WXR2Sommaire du match
3187Flyers5Senateurs2WSommaire du match
3389Senateurs3Flyers2LXR2Sommaire du match
3591Senateurs6Flyers5LXSommaire du match
3793Flyers6Senateurs2WR2Sommaire du match
3995Senateurs3Flyers5WSommaire du match
4399Avalanche6Flyers2LSommaire du match
44100Avalanche2Flyers1LXSommaire du match
45101Flyers5Avalanche4WSommaire du match
46102Flyers3Avalanche1WSommaire du match
47103Avalanche2Flyers4WSommaire du match
48104Flyers2Avalanche3LSommaire du match
49105Avalanche2Flyers3WXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance27,09414,000
Assistance PCT96.76%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
27 2935 - 97.84% 151,319$2,118,460$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,638,833$ 3,638,833$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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
1Adam Gaudette15860107167-71229340854710.97%77314519.911328415111294154.93%11.06512
2Sam Steel1584973122-1512330533245710.72%62266616.8887153321371354.56%10.9209
3Seth Jarvis794558103101513717037212.10%35166521.0913183156112810345.52%21.2404
4Mikey Eyssimont1624948972230344322228217.38%51309919.131517323910166334.91%00.6337
5Mikael Backlund76415192146216523327115.13%39158420.851218303802217462.16%11.1634

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
1Jonas Johansson90503150.9043.0251424025926931088421.0009
2Alex Lyon753722100.9122.814291602012273968330.82540
3Samuel Ersson103420.8694.5350300382901230000

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
198239290454127824731411717022211271252412212023201511222910027844472220858410110252075492182734256892954620132525321.03%1882686.17%51108198455.85%1089195755.65%726126257.53%1774104317767321416713
20823428047542782611741191501123150140104115130363112812179727845172930721049312276389290194758269390652520212254921.78%1853481.62%11092206752.83%1050201752.06%651123552.71%1765104718297251385688
Total Saison régulière1647357081295556508488236320334427726512823725059512792433619755689514515015718819422528316461822177492526118351071403447710221.38%3736083.91%62200405154.31%2139397453.82%1377249755.15%353920913605145828021401
Séries éliminatoires
20271611000009483111477000004543213940000049409329415524910312534494331632728317817278210686881820.45%601181.67%043874259.03%33460854.93%24643856.16%611368566236464236
Total Séries éliminatoires271611000009483111477000004543213940000049409329415524910312534494331632728317817278210686881820.45%601181.67%043874259.03%33460854.93%24643856.16%611368566236464236

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
1Adam Gaudette27132235-2046849513.68%1057421.2928101400012060.31%01.2200
2Michael Bunting27102333-43167391168.62%754020.02110111800041050.00%01.2200
3Sam Steel25111324-13060579012.22%547418.98134400013056.47%01.0100
4Zachary L'Heureux2791019-13489398111.11%947617.653141100000033.33%00.8000
5Mikhail Vorobyev276111742430787.69%837113.75011100010056.39%00.9200

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
1Jonas Johansson2214520.9092.74129200596472800000
2Samuel Ersson72310.8643.983470023169631100