Connexion

Flyers
GP: 47 | W: 24 | L: 18 | OTL: 5 | P: 53
GF: 150 | GA: 153 | PP%: 22.22% | PK%: 80.98%
DG: Alexandre Fortier | Morale : 51 | Moyenne d’équipe : 72
#792 vs Hurricanes
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Predators
18-29-4, 40pts
2
FINAL
3 Flyers
24-18-5, 53pts
Team Stats
L1SéquenceL1
10-13-2Fiche domicile12-10-3
8-16-2Fiche visiteur12-8-2
4-5-1Derniers 10 matchs5-2-3
2.86Buts par match 3.19
3.57Buts contre par match 3.26
14.55%Pourcentage en avantage numérique22.22%
84.28%Pourcentage en désavantage numérique80.98%
Sabres
25-20-5, 55pts
3
FINAL
2 Flyers
24-18-5, 53pts
Team Stats
W1SéquenceL1
15-8-2Fiche domicile12-10-3
10-12-3Fiche visiteur12-8-2
3-5-2Derniers 10 matchs5-2-3
3.26Buts par match 3.19
3.10Buts contre par match 3.26
21.39%Pourcentage en avantage numérique22.22%
84.31%Pourcentage en désavantage numérique80.98%
Flyers
24-18-5, 53pts
2023-12-11
Hurricanes
17-27-5, 39pts
Statistiques d’équipe
L1SéquenceW1
12-10-3Fiche domicile8-15-1
12-8-2Fiche visiteur9-12-4
5-2-310 derniers matchs4-5-1
3.19Buts par match 2.65
3.26Buts contre par match 2.65
22.22%Pourcentage en avantage numérique14.97%
80.98%Pourcentage en désavantage numérique73.87%
Sharks
25-19-4, 54pts
2023-12-14
Flyers
24-18-5, 53pts
Statistiques d’équipe
L1SéquenceL1
13-8-3Fiche domicile12-10-3
12-11-1Fiche visiteur12-8-2
5-5-010 derniers matchs5-2-3
3.48Buts par match 3.19
3.23Buts contre par match 3.19
22.35%Pourcentage en avantage numérique22.22%
76.80%Pourcentage en désavantage numérique80.98%
Flyers
24-18-5, 53pts
2023-12-16
BlueJacket
24-20-4, 52pts
Statistiques d’équipe
L1SéquenceL1
12-10-3Fiche domicile13-11-0
12-8-2Fiche visiteur11-9-4
5-2-310 derniers matchs4-6-0
3.19Buts par match 3.40
3.26Buts contre par match 3.40
22.22%Pourcentage en avantage numérique28.13%
80.98%Pourcentage en désavantage numérique78.95%
Meneurs d'équipe
Buts
Brad Marchand
21
Passes
Paul Stastny
27
Points
Paul Stastny
46
Plus/Moins
Brad Marchand
7
Victoires
Ben Bishop
19
Pourcentage d’arrêts
Louis Domingue
0.904

Statistiques d’équipe
Buts pour
150
3.19 GFG
Tirs pour
1516
32.26 Avg
Pourcentage en avantage numérique
22.2%
44 GF
Début de zone offensive
43.1%
Buts contre
153
3.26 GAA
Tirs contre
1351
28.74 Avg
Pourcentage en désavantage numérique
81.0%%
31 GA
Début de la zone défensive
38.8%
Informations de l'équipe

Directeur généralAlexandre Fortier
EntraîneurDan Bylsma
DivisionDivision Métropolitaine
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomWachovia Center
Capacité20,000
Assistance19,297
Billets de saison8,000


Informations de la formation

Équipe Pro20
Équipe Mineure31
Limite contact 51 / 55
Espoirs13


Plafond salarial Non Activé

Cap Salarial de la Saison estimé75,700,000$
Plafond salarial disponible1,200,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour42,709,037$
Dépenses annuelles à ce jour44,521,945$
Revenus de la saison estimés27,333,784$
Dépenses de la saison estimées31,401,075$
Compte bancaire actuel30,473,053$
Compte bancaire projeté26,926,632$


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
1Paul StastnyX100.0074418462719491939293858183999924537903719,000,000$
2Brad MarchandX100.0074477271709489856888897587999933637703538,250,000$
3Jaden SchwartzX99.0064499171719087886586867778889452627603127,000,000$
4Nazem KadriX100.0076468671729292798182807478987246607403326,000,000$
5Pavel BuchnevichX99.0067458374729091806781787774827958627302846,500,000$
6Nail YakupovX100.0045369970718892866285857382817655627303025,500,000$
7Trevor ZegrasX100.006645837768869073707774717759677062690222900,000$
8Nic DowdX100.00734587747179817476727376716967425169N0332900,000$
9Max ComtoisX100.007352827474829273677273747462636861680241900,000$
10Scott WilsonX100.0068439371707290657772717569835650686703111,700,000$
11Brendan PerliniX100.0066458772737483707170697160835760626602721,700,000$
12Alexey ToropchenkoX100.007645827371727671676169776448466862640242900,000$
13Quinn HughesX100.006545908170939187458876746772777262740241900,000$
14Anthony DeAngeloX100.0067458477728789834582817771767062627302825,500,000$
15Torey KrugX100.0059369669698287824580767965797741627203215,000,000$
16Ben ChiarotX100.00724582747688867545726881667469466271N0321900,000$
17K'andre MillerX100.007446857475869080457770766665607063710232900,000$
18Filip HronekX100.0073518179718689654575737962665966627002624,000,000$
Rayé
Équipe Mineure
1Filip ChlapikX99.007145737071707169667069696651476028630261750,000$
2Zachary SenyshynX97.006955897271747466636668716651476044630261750,000$
3Marek TvrdonX100.0066468669756865696165676665454553406203021,000,000$
4Erik Karlsson (foward)X100.0060459373667068666166616460484559356002921,000,000$
5Spencer WatsonX100.005645927265666864615962686049455819590271800,000$
6Peter ReginX100.0059418865705960646360596658625525175903721,000,000$
7Graham KnottX100.006445816871687062605962635948455819590261800,000$
8Nathan NoelX100.0058455755555457535553525555494560195002611,000,000$
9Jakub ZborilX100.007045857772828572457462715656476626660261900,000$
10Robin SaloX100.006345917369787671457269716048456835650252900,000$
11Kale ClagueX100.006345857269778269457269696053466035640252900,000$
12Filip Westerlund (R)X100.006650867268707060456262675745456028610243750,000$
13Brycen MartinX100.006551807272716863456262655452466017610273800,000$
14Ben ThomasX100.006648897069697158456363645750466019600271750,000$
15Jesper BoqvistX98.006445917369789071667472696958466832660252900,000$
16Kiefer SherwoodX100.0065459772706870697668676966594759206402831,200,000$
17Ivan Chekhovich (R)X95.006445907267707068667070646445456033630243750,000$
18Pascal LabergeX100.006545857268727271726667676148476034620252750,000$
19Justin KeaX100.007456676876697264716464645956524834620293900,000$
20Kirill Slepets (R)X100.006345907265707066666563686045456036610243750,000$
21Scott TimminsX100.005442876870727361676059666461564019600341800,000$
22Tim BozonX100.006045856972696961645860686053495326590291800,000$
23Jakub IzackyX100.006042817065616662625962686256545219590303500,000$
24Joel MustonenX99.945443907166667762636060656061495128590312500,000$
25Rob O'GaraX80.4865439170747675694572637056595252296503021,300,000$
26Maxwell Gildon (R)X93.716544857268707066456664725645456028620243750,000$
27Johan MotinX100.006344846772667062455959675960454118600341800,000$
28Ryan RehillX100.008573546575655657455754665452525620590283500,000$
MOYENNE D’ÉQUIPE99.11664685717076787060706870656257554065
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
1Ben Bishop99.007792958383909191899092999927207703716,500,000$
2Louis Domingue100.007977758080808783848775656550346803122,750,000$
Rayé
Équipe Mineure
1Mattias Modig100.00736565727266697066687478752840600361800,000$
2Dan Blackburn97.007067677571646464646569938810176004011,000,000$
3Marek Langhamer98.00788478797675827474767949565419620293900,000$
MOYENNE D’ÉQUIPE98.8075777678767579767577787777342665
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma93848289989975USA545500,000$


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
1Paul StastnyFlyersC44192746218052831415010713.48%984319.1761016391480113573153.42%114000001.0901000146
2Brad MarchandFlyersLW47212344747590321925111510.94%586918.50571251159000084352.17%6900001.0116001414
3Jaden SchwartzFlyersLW5015203541551945167651298.98%1890318.07369381580001450146.67%6000010.7711010222
4Nail YakupovFlyersRW471618347200441363811611.76%784117.90661233161000041042.86%7700010.8136000332
5Quinn HughesFlyersD4762733-1322036517723507.79%4098620.983101345162000012100%000000.6700000130
6Anthony DeAngeloFlyersD4772330-1226048349734537.22%64100621.42461053155000048010%000000.6000000011
7Pavel BuchnevichFlyersRW4791827-880435310844798.33%984317.9541014281540003822245.45%6600000.6402000212
8K'andre MillerFlyersD4742327-735558314520418.89%5295220.263811261190001120100%000000.5700001012
9Nazem KadriFlyersC50101626-7220637813733917.30%1393618.735813431570000771052.59%108000000.5623000202
10Trevor ZegrasFlyersC4771623016053559025547.78%680417.1225726159000001245.08%66100000.5700000023
11Torey KrugFlyersD47713205200163740103017.50%4188618.861017430000115110%000000.4500000310
12Filip HronekFlyersD4731114-53405034327279.38%4484217.9200005101281000%000000.3300000102
13Ben ChiarotFlyersD473811-446062312661311.54%4883817.83000040001108010%000000.2600000020
14Alexey ToropchenkoFlyersRW473811-1133536204714376.38%450410.7201115000000030.77%3900000.4400010000
15Nic DowdFlyersRW43358-14027144416276.82%343510.1400000000000065.22%2300000.3700000000
16Scott WilsonFlyersC47538-900155034131914.71%94569.721011201121260048.11%50300000.3500000000
17Max ComtoisFlyersLW46347-1627538207116424.23%452011.32000170003681043.14%5100000.2700001000
18Brendan PerliniFlyersLW24314-440810132923.08%01646.8600001000001050.00%800000.4900000010
19Jesper BoqvistPhantoms (Phi)C3011000034130%03712.5200000000000045.45%4400000.5300000000
20Filip ChlapikPhantoms (Phi)C1000000010000%01111.03000000000000100.00%10000000000000
21Zachary SenyshynPhantoms (Phi)RW4000-355312000%14411.1300000000000050.00%20000000001000
Statistiques d’équipe totales ou en moyenne829144265409-7538430717727150346810429.58%3771372916.564377120392161012316957171250.18%382400020.60719024192226
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
1Ben BishopFlyers40191430.8863.22214010111510080220.81316397150
2Louis DomingueFlyers2810520.9042.76115102535540100.800101730411
Statistiques d’équipe totales ou en moyenne68291950.8923.0632921031681562032265637561


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 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
Alexey ToropchenkoFlyersRW241999-06-25No187 Lbs6 ft3NoNoN/ANoYes2Pro & Farm900,000$900,000$370,879$No900,000$--------No--------Lien
Anthony DeAngeloFlyersD281995-10-24No180 Lbs5 ft11NoNoN/ANoNo2Pro & Farm5,500,000$5,500,000$2,266,484$No5,500,000$--------No--------Lien
Ben BishopFlyersG371986-11-21No215 Lbs6 ft7NoNoN/ANoNo1Pro & Farm6,500,000$6,500,000$2,678,571$No------------------Lien
Ben ChiarotFlyersD321991-05-09No232 Lbs6 ft3YesNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Brad MarchandFlyersLW351988-05-11No188 Lbs5 ft10NoNoN/ANoNo3Pro Only8,250,000$8,250,000$3,399,725$No8,250,000$8,250,000$-------NoNo-------Lien
Brendan PerliniFlyersLW271996-04-27No211 Lbs6 ft3NoNoN/ANoYes2Pro & Farm1,700,000$1,700,000$700,549$No1,700,000$--------No--------Lien
Filip HronekFlyersD261997-11-02No183 Lbs6 ft0NoNoN/ANoNo2Pro & Farm4,000,000$4,000,000$1,648,352$No4,000,000$--------No--------Lien
Jaden SchwartzFlyersLW311992-06-25No190 Lbs5 ft10NoNoN/ANoNo2Pro & Farm7,000,000$7,000,000$2,884,615$No7,000,000$--------No--------Lien
K'andre MillerFlyersD232000-01-21No210 Lbs6 ft5NoNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------No--------Lien
Louis DomingueFlyersG311992-03-06No208 Lbs6 ft3NoNoN/ANoNo2Pro & Farm2,750,000$2,750,000$1,133,242$No2,750,000$--------No--------Lien
Max ComtoisFlyersLW241999-01-08No215 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Nail YakupovFlyersRW301993-10-06No186 Lbs5 ft11NoNoN/ANoNo2Pro & Farm5,500,000$5,500,000$2,266,484$No5,500,000$--------No--------Lien
Nazem KadriFlyersC331990-10-06No188 Lbs6 ft0NoNoN/ANoNo2Pro & Farm6,000,000$6,000,000$2,472,527$No6,000,000$--------No--------Lien
Nic DowdFlyersRW331990-05-27No193 Lbs6 ft1YesNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------Yes--------Lien
Paul StastnyFlyersC371985-12-27No201 Lbs6 ft0NoNoN/ANoNo1Pro Only9,000,000$9,000,000$3,708,791$No------------------Lien
Pavel BuchnevichFlyersRW281995-04-17No196 Lbs6 ft3NoNoN/ANoNo4Pro & Farm6,500,000$6,500,000$2,678,571$No6,500,000$6,500,000$6,500,000$------NoNoNo------Lien
Quinn HughesFlyersD241999-10-14No170 Lbs5 ft10NoNoN/ANoNo1Pro & Farm900,000$900,000$370,879$No------------------Lien
Scott WilsonFlyersC311992-04-24No183 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,700,000$1,700,000$700,549$No------------------Lien
Torey KrugFlyersD321991-04-12No181 Lbs5 ft9NoNoN/ANoNo1Pro & Farm5,000,000$5,000,000$2,060,440$No------------------Lien
Trevor ZegrasFlyersC222001-03-20No173 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$900,000$370,879$No900,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.40195 Lbs6 ft11.803,785,000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
75,700,000$50,800,000$14,750,000$6,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaden SchwartzPaul StastnyPavel Buchnevich30122
2Brad MarchandTrevor ZegrasNail Yakupov30122
3Max ComtoisNazem KadriAlexey Toropchenko30122
4Brendan PerliniScott WilsonNic Dowd10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony DeAngeloFilip Hronek34131
2K'andre MillerBen Chiarot33131
3Quinn HughesTorey Krug33131
4Filip HronekQuinn Hughes0131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MarchandPaul StastnyJaden Schwartz50014
2Nail YakupovTrevor ZegrasPavel Buchnevich50023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Quinn HughesNazem Kadri50014
2Anthony DeAngeloK'andre Miller50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nazem KadriPavel Buchnevich50131
2Scott WilsonMax Comtois50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben ChiarotTorey Krug50131
2K'andre MillerJaden Schwartz50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nail Yakupov50122Ben ChiarotFilip Hronek50122
2Jaden Schwartz50122Anthony DeAngeloK'andre Miller50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Paul StastnyNail Yakupov50023
2Nazem KadriBrad Marchand50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony DeAngeloQuinn Hughes50122
2Filip HronekTorey Krug50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MarchandPaul StastnyJaden SchwartzAnthony DeAngeloQuinn Hughes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaden SchwartzNazem KadriNail YakupovBen ChiarotAnthony DeAngelo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jaden Schwartz, Brad Marchand, Trevor ZegrasJaden Schwartz, Nail YakupovPaul Stastny
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Hronek, Torey Krug, K'andre MillerTorey KrugAnthony DeAngelo, Quinn Hughes
Tirs de pénalité
Brad Marchand, Nail Yakupov, Nazem Kadri, Pavel Buchnevich, Trevor Zegras
Gardien
#1 : Ben Bishop, #2 : Louis Domingue


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
1BlueJacket22000000862110000004311100000043141.00081523001430551518220511318308337.50%7271.43%0891177350.25%818159651.25%40474554.23%483345142613
2Blues11000000523110000005230000000000021.00058130020304012161202576158112.50%20100.00%0891177350.25%818159651.25%40474554.23%2618197137
3Bruins1010000014-3000000000001010000014-300.00012300001027881102691019400.00%5260.00%0891177350.25%818159651.25%40474554.23%2417227126
4Canadiens21000100660000000000002100010066030.75061016003120652521172561342212325.00%10100.00%0891177350.25%818159651.25%40474554.23%483347152612
5Canucks210001006421000010023-11100000041330.75061117005010863321320372219271200.00%5180.00%0891177350.25%818159651.25%40474554.23%543842142413
6Capitals11000000826000000000001100000082621.000812200060204417171002152173133.33%10100.00%0891177350.25%818159651.25%40474554.23%2618207137
7Coyotes1010000034-1000000000001010000034-100.0003690010202912512040781211100.00%3166.67%0891177350.25%818159651.25%40474554.23%2316246125
8Devils20000011660200000116600000000000030.75069150002325719191213672236499111.11%17288.24%0891177350.25%818159651.25%40474554.23%462956162613
9Ducks11000000101000000000001100000010121.0001230100102557130319611400.00%30100.00%0891177350.25%818159651.25%40474554.23%2518226115
10Flames1010000004-4000000000001010000004-400.000000000000331779031131718400.00%5260.00%0891177350.25%818159651.25%40474554.23%2214248126
11GoldenKnights21000001761000000000002100000176130.75071421002231602115235511120316233.33%10280.00%0891177350.25%818159651.25%40474554.23%503346152814
12Hurricanes312000001013-3211000006601010000047-320.3331019290044209123353309618354112541.67%14192.86%0891177350.25%818159651.25%40474554.23%715070213718
13Islanders31200000914-5211000007701010000027-520.333917261034201003339280962622441317.69%10280.00%0891177350.25%818159651.25%40474554.23%724967233919
14Kings1010000046-2000000000001010000046-200.00047110021102912413035118114125.00%4250.00%0891177350.25%818159651.25%40474554.23%2315247126
15Kraken1010000024-21010000024-20000000000000.000246000110401215130321010195120.00%4175.00%0891177350.25%818159651.25%40474554.23%2518227115
16Lightning431000001511432100000121111100000030360.750152944014830142434059013034206416743.75%80100.00%0891177350.25%818159651.25%40474554.23%956594295025
17MapleLeafs1010000025-31010000025-30000000000000.00024600110039198120264896116.67%4175.00%0891177350.25%818159651.25%40474554.23%2720216116
18Oilers1000010045-11000010045-10000000000010.500471100121026612533164132150.00%2150.00%0891177350.25%818159651.25%40474554.23%2518237147
19Panthers10000010431000000000001000001043121.000461000210129129562794115240.00%20100.00%0891177350.25%818159651.25%40474554.23%2718238137
20Penguins21100000770211000007700000000000020.500711180021405615182304415213517635.29%7185.71%0891177350.25%818159651.25%40474554.23%483247132312
21Predators2110000056-1110000003211010000024-220.50051015002300632821140591710335120.00%5180.00%0891177350.25%818159651.25%40474554.23%473345142713
22Rangers4210001015132210000108532110000078-160.7501525401010311145484253410631277113215.38%11463.64%0891177350.25%818159651.25%40474554.23%1047489295126
23RedWings2110000045-11010000024-21100000021120.5004711001210611924180631618338112.50%9188.89%0891177350.25%818159651.25%40474554.23%483346152512
24Sabres21100000862211000008620000000000020.50081523003140691922280661526408112.50%12283.33%1891177350.25%818159651.25%40474554.23%473148142412
25Senators3120000079-22020000037-41100000042220.333714210022307629232407026234410220.00%8275.00%0891177350.25%818159651.25%40474554.23%714969213820
26Wild10000010321000000000001000001032121.000336000111296111143491011300.00%40100.00%0891177350.25%818159651.25%40474554.23%2718237136
Total47201800342150153-3251010002218183-222108001216970-1530.56415026741722574445615165084775123713513783927301984422.22%1633180.98%1891177350.25%818159651.25%40474554.23%11628031088348605305
_Since Last GM Reset47201800342150153-3251010002218183-222108001216970-1530.56415026741722574445615165084775123713513783927301984422.22%1633180.98%1891177350.25%818159651.25%40474554.23%11628031088348605305
_Vs Conference3315130013111011002089000216567-213740011045432380.5761101953052142343141056344343355259452562745291443625.00%1162082.76%1891177350.25%818159651.25%40474554.23%808558770245423213
_Vs Division1786000216361211530002138344633000002527-2210.6186310817120261817354817018818117481130161287751925.33%671282.09%0891177350.25%818159651.25%40474554.23%418288397126219111

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4753L11502674171516135137839273022
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4720180342150153
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25101002218183
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2210801216970
Derniers 10 matchs
WLOTWOTL SOWSOL
520300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1984422.22%1633180.98%1
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
508477512375744456
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
891177350.25%818159651.25%40474554.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11628031088348605305


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
1 - 2023-08-259Sabres3Flyers6BWSommaire du match
4 - 2023-08-2832Flyers4Panthers3AWXXSommaire du match
7 - 2023-08-3152Islanders5Flyers3BLSommaire du match
9 - 2023-09-0269Flyers8Capitals2AWSommaire du match
12 - 2023-09-0589Lightning4Flyers2BLSommaire du match
15 - 2023-09-08102Flyers3Lightning0AWSommaire du match
17 - 2023-09-10116Lightning4Flyers6BWSommaire du match
19 - 2023-09-12128Flyers1Bruins4ALSommaire du match
21 - 2023-09-14143Flyers2RedWings1AWSommaire du match
23 - 2023-09-16159RedWings4Flyers2BLSommaire du match
25 - 2023-09-18170Flyers4Canadiens3AWSommaire du match
27 - 2023-09-20192Senators3Flyers1BLSommaire du match
30 - 2023-09-23213Rangers1Flyers2BWXXSommaire du match
32 - 2023-09-25227Flyers4BlueJacket3AWSommaire du match
35 - 2023-09-28249MapleLeafs5Flyers2BLSommaire du match
37 - 2023-09-30260Flyers4Hurricanes7ALSommaire du match
39 - 2023-10-02276Hurricanes5Flyers3BLSommaire du match
43 - 2023-10-06303Kraken4Flyers2BLSommaire du match
45 - 2023-10-08316Flyers4Senators2AWSommaire du match
47 - 2023-10-10334Senators4Flyers2BLSommaire du match
49 - 2023-10-12349Flyers0Flames4ALSommaire du match
51 - 2023-10-14365Flyers1Ducks0AWSommaire du match
52 - 2023-10-15375Islanders2Flyers4BWSommaire du match
55 - 2023-10-18391Flyers3GoldenKnights4ALXXSommaire du match
56 - 2023-10-19401Rangers4Flyers6BWSommaire du match
60 - 2023-10-23430Hurricanes1Flyers3BWSommaire du match
63 - 2023-10-26446Flyers2Predators4ALSommaire du match
65 - 2023-10-28460Flyers3Wild2AWXXSommaire du match
66 - 2023-10-29469Lightning3Flyers4BWSommaire du match
68 - 2023-10-31492Penguins4Flyers2BLSommaire du match
72 - 2023-11-04516Flyers2Islanders7ALSommaire du match
73 - 2023-11-05526Devils5Flyers4BLXXSommaire du match
76 - 2023-11-08549Flyers4GoldenKnights2AWSommaire du match
77 - 2023-11-09558Devils1Flyers2BWXXSommaire du match
80 - 2023-11-12578Flyers4Rangers6ALSommaire du match
82 - 2023-11-14588Flyers4Kings6ALSommaire du match
83 - 2023-11-15597Blues2Flyers5BWSommaire du match
86 - 2023-11-18618Flyers2Canadiens3ALXSommaire du match
87 - 2023-11-19630Canucks3Flyers2BLXSommaire du match
91 - 2023-11-23654BlueJacket3Flyers4BWSommaire du match
93 - 2023-11-25674Flyers4Canucks1AWSommaire du match
95 - 2023-11-27685Penguins3Flyers5BWSommaire du match
98 - 2023-11-30709Flyers3Rangers2AWSommaire du match
100 - 2023-12-02718Oilers5Flyers4BLXSommaire du match
103 - 2023-12-05743Flyers3Coyotes4ALSommaire du match
104 - 2023-12-06750Predators2Flyers3BWSommaire du match
107 - 2023-12-09778Sabres3Flyers2BLSommaire du match
109 - 2023-12-11792Flyers-Hurricanes-
112 - 2023-12-14810Sharks-Flyers-
114 - 2023-12-16823Flyers-BlueJacket-
116 - 2023-12-18843Jets-Flyers-
118 - 2023-12-20857Flyers-BlackHawks-
119 - 2023-12-21866Flyers-Lightning-
121 - 2023-12-23880MapleLeafs-Flyers-
124 - 2023-12-26898Flyers-MapleLeafs-
125 - 2023-12-27910Flames-Flyers-
128 - 2023-12-30930Flyers-Senators-
129 - 2023-12-31943GoldenKnights-Flyers-
133 - 2024-01-04970Flyers-Panthers-
134 - 2024-01-05975RedWings-Flyers-
139 - 2024-01-101004Bruins-Flyers-
141 - 2024-01-121020Flyers-Sabres-
142 - 2024-01-131033Flyers-Capitals-
144 - 2024-01-151041Avalanches-Flyers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2024-01-191068Bruins-Flyers-
151 - 2024-01-221091Flyers-Islanders-
152 - 2024-01-231099BlueJacket-Flyers-
154 - 2024-01-251113Flyers-Stars-
156 - 2024-01-271132Panthers-Flyers-
158 - 2024-01-291143Flyers-Sabres-
160 - 2024-01-311162Capitals-Flyers-
162 - 2024-02-021174Flyers-Penguins-
165 - 2024-02-051195Capitals-Flyers-
166 - 2024-02-061198Flyers-RedWings-
167 - 2024-02-071207Flyers-MapleLeafs-
170 - 2024-02-101227Panthers-Flyers-
171 - 2024-02-111235Flyers-Devils-
174 - 2024-02-141260Canadiens-Flyers-
177 - 2024-02-171283Flyers-Penguins-
178 - 2024-02-181287Flyers-Devils-
179 - 2024-02-191296Canadiens-Flyers-
180 - 2024-02-201303Flyers-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité80005000200040001000
Prix des billets88553318185
Assistance188,365124,93649,68899,85619,577
Attendance PCT94.18%99.95%99.38%99.86%78.31%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 19297 - 96.48% 1,708,361$42,709,037$20000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
44,521,945$ 75,700,000$ 74,600,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
75,700,000$ 44,228,012$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
27,333,784$ 75 418,681$ 31,401,075$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
32,429,250$ 30,473,053$ 26,926,632$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
75,700,000$ 1,200,000$ 76,900,000$ 75,700,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Brad MarchandAGE:35PO:33OV:77
Jaden SchwartzAGE:31PO:52OV:76
Max ComtoisAGE:24PO:68OV:68
Brendan PerliniAGE:27PO:60OV:66
Kiefer SherwoodAGE:28PO:59OV:64
Ivan Chekhovich (R)AGE:24PO:60OV:63
Erik Karlsson (foward)AGE:29PO:59OV:60
Graham KnottAGE:26PO:58OV:59
Jakub IzackyAGE:30PO:52OV:59
Joel MustonenAGE:31PO:51OV:59
Peter ReginAGE:37PO:25OV:59
Paul StastnyAGE:37PO:24OV:79
Nazem KadriAGE:33PO:46OV:74
Trevor ZegrasAGE:22PO:70OV:69
Scott WilsonAGE:31PO:50OV:67
Jesper BoqvistAGE:25PO:68OV:66
Filip ChlapikAGE:26PO:60OV:63
Pascal LabergeAGE:25PO:60OV:62
Justin KeaAGE:29PO:48OV:62
Scott TimminsAGE:34PO:40OV:60
Spencer WatsonAGE:27PO:58OV:59
Pavel BuchnevichAGE:28PO:58OV:73
Nail YakupovAGE:30PO:55OV:73
Nic DowdAGE:33PO:42OV:69
Alexey ToropchenkoAGE:24PO:68OV:64
Zachary SenyshynAGE:26PO:60OV:63
Marek TvrdonAGE:30PO:53OV:62
Kirill Slepets (R)AGE:24PO:60OV:61
Tim BozonAGE:29PO:53OV:59
Nathan NoelAGE:26PO:60OV:50

Défense #1Défense #2Gardien
Quinn HughesAGE:24PO:72OV:74
Anthony DeAngeloAGE:28PO:62OV:73
Torey KrugAGE:32PO:41OV:72
K'andre MillerAGE:23PO:70OV:71
Ben ChiarotAGE:32PO:46OV:71
Filip HronekAGE:26PO:66OV:70
Jakub ZborilAGE:26PO:66OV:66
Robin SaloAGE:25PO:68OV:65
Rob O'GaraAGE:30PO:52OV:65
Kale ClagueAGE:25PO:60OV:64
Maxwell Gildon (R)AGE:24PO:60OV:62
Filip Westerlund (R)AGE:24PO:60OV:61
Brycen MartinAGE:27PO:60OV:61
Ben ThomasAGE:27PO:60OV:60
Johan MotinAGE:34PO:41OV:60
Ryan RehillAGE:28PO:56OV:59
Ben BishopAGE:37PO:27OV:77
Louis DomingueAGE:31PO:50OV:68
Marek LanghamerAGE:29PO:54OV:62
Mattias ModigAGE:36PO:28OV:60
Dan BlackburnAGE:40PO:10OV:60

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Arvid BergstromFlyers151420Lien
Axel Sandin-PellikkaFlyers15130Lien
Aydar SunievFlyers15810Lien
Beckett HendricksonFlyers151390Lien
Danila YurovFlyers1410
Emil JarventieFlyers151070Lien
Ivan ZhigalovFlyers1463
Jake WiseFlyers938
Karl HenrikssonFlyers1075
Maxim StrbakFlyers15530Lien
Ruslan IskhakovFlyers997
Tanner MolendykFlyers15490Lien
Tristan LennoxFlyers1384

Choix au repêchage

Année R1R2R3R4R5
16
17
18
19
20
Choix au repêchage conditionnel



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


Flyers Historique de transactions

[2023-11-01 12:58:41] - TRADE : From Ducks to Flyers : Y:16-RND:4-Ana, Y:16-RND:4-Phi.
[2023-10-15 19:09:27] - TRADE : From Flyers to Ducks : Linus Ullmark (73), Tyler Motte (67), Y:16-RND:4-Phi.
[2023-10-15 19:09:27] - TRADE : From Ducks to Flyers : Ben Bishop (77), Brendan Perlini (66).
[2023-10-09 20:12:33] - Marek Tvrdon signed with Flyers for $1,000,000 for 2 year(s).
[2023-10-09 20:12:33] - Marek Tvrdon was added to Flyers.
[2023-10-07 13:46:03] - TRADE : From Flyers to Avalanches : Ryan Johansen (77), Tyler Johnson (72), Y:16-RND:4-Ott.
[2023-10-07 13:46:03] - TRADE : From Avalanches to Flyers : Jaden Schwartz (76), Nazem Kadri (74).
[2023-08-20 11:41:32] - TRADE : From Rangers to Flyers : Scott Wilson (67).
[2023-08-20 11:41:32] - TRADE : From Flyers to Rangers : Y:16-RND:5-Dal.
[2023-08-20 11:40:59] - TRADE : From Stars to Flyers : Tyler Motte (67), Y:16-RND:5-Dal.
[2023-08-20 11:40:59] - TRADE : From Flyers to Stars : Y:16-RND:3-Ott.
[2023-08-08 21:18:49] - Nic Dowd signed with Flyers for $900,000 for 2 year(s) / Option : No Trade.
[2023-08-08 21:18:49] - Nic Dowd was added to Flyers.
[2023-08-08 20:32:50] - Ben Chiarot signed with Flyers for $900,000 for 1 year(s) / Option : No Trade.
[2023-08-08 20:32:50] - Ben Chiarot was added to Flyers.
[2023-07-30 13:31:23] - Arvid Bergstrom has been added to Flyers.
[2023-07-30 13:31:23] - Beckett Hendrickson has been added to Flyers.
[2023-07-30 13:31:23] - Emil Jarventie has been added to Flyers.
[2023-07-30 13:31:23] - Aydar Suniev has been added to Flyers.
[2023-07-30 13:31:23] - Maxim Strbak has been added to Flyers.
[2023-07-30 13:31:23] - Tanner Molendyk has been added to Flyers.
[2023-07-30 13:31:23] - Axel Sandin-Pellikka has been added to Flyers.
[2023-07-04 12:40:40] - Ivan Chekhovich was added to Flyers.
[2023-07-03 21:13:36] - Louis Domingue signed with Flyers for 2 750 000 $ for 2 year(s).
[2023-07-03 21:13:36] - Louis Domingue was added to Flyers.
[2023-07-03 21:13:29] - Linus Ullmark signed with Flyers for 5 850 000 $ for 3 year(s).
[2023-07-03 21:13:29] - Linus Ullmark was added to Flyers.
[2023-07-03 21:01:06] - KIRILL SLEPETS was added to Flyers.
[2023-07-03 21:01:05] - MAXWELL GILDON was added to Flyers.



[2023-12-10 19:08:00] Ivan Chekhovich from Phantoms is back from Exhaustion.
[2023-12-09 15:21:28] Auto Lines Partial Function has been run for Phantoms.
[2023-12-09 15:21:28] Auto Roster Farm Only Function has been run for Flyers.
[2023-12-09 15:21:28] Phantoms roster errors : Not enough Centers available in Farm Team! 2 Dressed. 4 Required. Not enough Left Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 8 Dressed. 12 Required. Not enough Players available in Farm Team! 14 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-12-08 19:13:33] Ivan Chekhovich from Phantoms is injured from Exhaustion.
[2023-12-08 19:10:53] Auto Lines Partial Function has been run for Phantoms.
[2023-12-08 19:10:53] Auto Roster Farm Only Function has been run for Flyers.
[2023-12-08 19:10:53] Phantoms roster errors : Not enough Centers available in Farm Team! 2 Dressed. 4 Required. Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 9 Dressed. 12 Required. Not enough Players available in Farm Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-12-07 14:58:21] Jesper Boqvist from Phantoms is back from Exhaustion.
[2023-12-06 12:52:39] Joel Mustonen from Phantoms is back from Severed Left Wrist Tendons Injury.
[2023-12-06 12:52:39] Jesper Boqvist from Phantoms is injured from Exhaustion.
[2023-12-06 12:52:33] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:38:33] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:38:04] Auto Lines Partial Function has been run for Phantoms.
[2023-12-06 12:38:04] Phantoms (Flyers) lines errors : Normal line # 3 C is empty. Normal line # 3 LW is empty. Normal line # 3 RW is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Normal line # 4 LW is empty. Extra Forward #3 is empty. Extra Defense #3 is empty. Starting Goalie is empty.
[2023-12-06 12:38:04] Auto Roster Partial Function has been run for Flyers.
[2023-12-06 12:38:04] Phantoms roster errors : Not enough Centers available in Farm Team! 3 Dressed. 4 Required. Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 10 Dressed. 12 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-12-06 12:38:01] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:36:58] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-04 13:00:52] Kirill Slepets from Phantoms is back from Exhaustion.
[2023-12-04 13:00:44] Auto Lines Partial Function has been run for Phantoms.
[2023-12-04 13:00:44] Auto Roster Farm Only Function has been run for Flyers.
[2023-12-04 13:00:44] Phantoms roster errors : Not enough Centers available in Farm Team! 3 Dressed. 4 Required. Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 10 Dressed. 12 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-12-03 22:58:46] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:74.14.206.209 .
[2023-12-03 22:58:10] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:74.14.206.209 .
[2023-12-02 21:25:46] Kirill Slepets from Phantoms is injured from Exhaustion.
[2023-12-02 21:25:41] Auto Lines Partial Function has been run for Phantoms.
[2023-12-02 21:25:41] Auto Roster Farm Only Function has been run for Flyers.
[2023-12-02 21:25:41] Phantoms roster errors : Not enough Centers available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-12-01 21:38:50] Pascal Laberge from Phantoms is back from Exhaustion.
[2023-12-01 21:38:50] Last 7 Days Pro Star : 1 - Evander Kane of Blues (5-0-5) / 2 - Pavel Buchnevich of Flyers (2-5-7) / 3 - Mark Scheifele of Hurricanes (3-3-6)
[2023-11-30 12:41:01] Pascal Laberge from Phantoms is injured from Exhaustion.
[2023-11-30 12:40:54] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:207.167.244.182 .
[2023-11-30 12:40:23] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:207.167.244.182 .
[2023-11-28 21:03:47] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-11-28 21:03:17] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .



Maxwell Gildon est dehors pour 2 jours à cause de Strained Back Injury.
Rob O'Gara est dehors pour 2 semaines à cause de Right Forearm Injury.



Flyers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Flyers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Flyers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Flyers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Flyers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA