SIMLHS.com - Flyers 

Flyers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Samuel Bessette | Morale : 75 | Moyenne d’équipe : 71
Prochain matchs #12 vs Devils
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Devils
0-0-0, 0pts
2022-10-09
Flyers
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Canucks
0-0-0, 0pts
2022-10-11
Flyers
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Flyers
0-0-0, 0pts
2022-10-14
Lightning
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Information d’équipe

Directeur généralSamuel Bessette
EntraîneurDave Tippett
DivisionDivision Métropolitaine
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomWells Fargo Center
Capacité18,000
Assistance
Billets de saison3,600


Information formation

Équipe Pro23
Équipe Mineure33
Limite contact 56 / 80
Espoirs69


Plafond salarial

Cap Salarial de la Saison estimé82,500,010$
Plafond salarial disponible-10$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées88,499,930$
Compte bancaire actuel49,601,972$
Compte bancaire projeté-42,321,383$


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique1111-849-201 (0.514%)
Apparitions séries éliminatoires 8
Historique séries éliminatoires (W-L)27-33
Stanley Cup0


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
1Mitchell Marner0XXX100.006234908469928885669283848968740757602426,300,000$
2Patrice Bergeron0X100.006535887376899479958078877991950757503637,200,000$
3John Tavares0X100.006636877280898376928378657984900757303117,225,000$
4Andrei Svechnikov0XX100.008639728278899579568078648263650757302126,200,000$
5Timo Meier0XX100.007736817881889076617980637768710757202515,000,000$
6Nick Schmaltz0XX100.005834927771888978768075627768730757102526,425,000$
7Kirby Dach0XX100.00633484778689837580726778756368075700201925,000$
8Ondrej Kase0XX100.005834927370837671597074766869700756902613,000,000$
9Nick Bonino0X100.005635846876869067856869866882750756903325,500,000$
10Scott Laughton0XX100.008539796875868969817066826771690756902743,300,000$
11Frank Vatrano0XXX100.006634887072838769626774607271730756702732,000,000$
12Michael Rasmussen0XXX100.007839756694858967816667726663650756702211,700,000$
13Cale Makar0X100.00683489857094957930928276636469075760231925,000$
14Shea Weber0X100.00827581679291886830767580588693075730361750,000$
15Justin Faulk0X100.008337817277949074307972835879740757302945,300,000$
16Jacob Trouba0X100.008971727085938967307768875673690757102756,350,000$
17Adam Pelech0X100.006937866484929063307559885070680756802744,700,000$
18Brenden Dillon0X100.008975726390899259307557785280730756703122,300,000$
Rayé
1Jack Quinn (R)0XX100.00593784707189716872677061726163075650202925,000$
2Bowen Byram (R)0X100.00773880747689787330766763586264075680202925,000$
3Matt Benning0X100.00683982637887896130675679507168075650271950,000$
Équipe Mineure
1Nathan Walker0X100.00763891687084836659647163696870075670273750,000$
2Brad Malone0XX100.00824286618483806275636465627478075660323950,000$
3Gerry Mayhew0XX100.00703784666385836472627163687172075650292925,000$
4Lukas Reichel (R)0XX100.00613692697082896765666364696162075650193950,000$
5Jack Studnicka (R)0X100.00653189627888816576675965636467075640221925,000$
6Nicolas Aube-Kubel (R)0XX100.00834376657179836557646356656768075640252750,000$
7Wade Allison (R)0X100.00783882628185726461636658636567075640242925,000$
8Axel Jonsson-Fjallby (R)0XX100.00643791657583876158606261676566075630231925,000$
9Rourke Chartier (R)0X100.00623693647291676368625962646668075630252925,000$
10Adam Gaudette0X100.00603791637278856577636258666769075630252750,000$
11Jamieson Rees (R)0X100.00583776596778875866575654596163075590202925,000$
12Travis Dermott0X100.00633887717684886730665763506769075650252750,000$
13Kyle Burroughs0X100.00904772617384755930675468496667075630261800,000$
14Cameron Schilling0X100.00724570598173675830665662487476075620333800,000$
15Dylan McIlrath0X100.00878264569668915530545360457072075610293800,000$
16Kaedan Korczak (R)0X100.00673382598479715830575565506163075610202925,000$
17William Lockwood (R)0X100.00823876596779815763585962596466075610232925,000$
18Brandon Baddock0X100.00858076558772815654575859566769075610263760,000$
19Kristian Reichel (R)0XX100.00623780566883735767585962596466075600232925,000$
20Cameron Hillis (R)0X100.00553686566473665775585955576364075590212925,000$
21Dillon Hamaliuk (R)0X100.00723974538167725451555657536264075590213950,000$
22Kyle Topping (R)0X100.00563471586973755661605456596365075580223950,000$
23Doyle Somerby0X100.00887276559765815430565261456870075610273800,000$
24Chris Bigras0X100.00673987587666715730565554466769075600263800,000$
25Max Gildon (R)0X100.00734087568269685530595356466365075600222925,000$
26Samuel Bolduc (R)0X100.00773982548968835430575559476264075600212925,000$
27Wyatte Wylie (R)0X100.00633887587269875530575455456365075590222925,000$
28Dawson Barteaux (R)0X100.00653892537462665530535254456264075570212925,000$
MOYENNE D’ÉQUIPE100.0072428372798987725776717567727307570
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
1Mike Smith100.00958477939392949392949391940757803942,000,000$
2Philipp Grubauer100.00979188759695979695979678840757703012,600,000$
Rayé
Équipe Mineure
1Pheonix Copley100.0076747586747375747375747084075660292950,000$
2Daniil Tarasov (R)100.0075727092747375747375746369075650222925,000$
3Matthew Villalta (R)100.0071777876706971706971706369075630221850,000$
4Filip Lindberg100.0068666772676668676668676369075610223999,999$
5Rasmus Korhonen100.0065686688646365646365646063075600193999,999$
MOYENNE D’ÉQUIPE100.009688838495949695949695858907578
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Tippett81858982918455CAN6116,000,000$


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
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


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
Adam Pelech (contrat à 1 volet)FlyersD278/16/1994No205 Lbs6 ft3NoNoYes4Pro & Farm4,700,000$4,700,000$4,700,000$4,700,000$4,700,000$4,700,000$No4,700,000$4,700,000$4,700,000$Lien / Lien NHL
Andrei Svechnikov (contrat à 1 volet)FlyersLW/RW213/26/2000No195 Lbs6 ft2NoNoYes2Pro & Farm6,200,000$6,200,000$6,200,000$6,200,000$6,200,000$6,200,000$No6,200,000$Lien / Lien NHL
Bowen ByramFlyersD206/13/2001Yes190 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$925,000$925,000$No925,000$Lien
Brenden Dillon (contrat à 1 volet)FlyersD3111/13/1990No220 Lbs6 ft4NoNoYes2Pro & Farm2,300,000$2,300,000$2,300,000$2,300,000$2,300,000$2,300,000$No2,300,000$Lien / Lien NHL
Cale MakarFlyersD2310/30/1998No187 Lbs5 ft11NoNoYes1Pro & Farm925,000$925,000$925,000$925,000$925,000$925,000$NoLien / Lien NHL
Frank Vatrano (contrat à 1 volet)FlyersC/LW/RW273/14/1994No197 Lbs5 ft11NoNoNo3Pro & Farm2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$No2,000,000$2,000,000$Lien / Lien NHL
Jack QuinnFlyersLW/RW209/19/2001Yes185 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$925,000$925,000$No925,000$Lien
Jacob Trouba (contrat à 1 volet)FlyersD272/26/1994No208 Lbs6 ft3NoNoYes5Pro & Farm6,350,000$6,350,000$6,350,000$6,350,000$6,350,000$6,350,000$No6,350,000$6,350,000$6,350,000$6,350,000$Lien / Lien NHL
John Tavares (contrat à 1 volet)FlyersC319/20/1990No211 Lbs6 ft1NoNoYes1Pro & Farm7,225,000$7,225,000$7,225,000$7,225,000$7,225,000$7,225,000$NoLien / Lien NHL
Justin Faulk (contrat à 1 volet)FlyersD293/20/1992No214 Lbs6 ft0NoNoYes4Pro & Farm5,300,000$5,300,000$5,300,000$5,300,000$5,300,000$5,300,000$No5,300,000$5,300,000$5,300,000$Lien / Lien NHL
Kirby DachFlyersC/RW201/21/2001No197 Lbs6 ft4NoNoYes1Pro & Farm925,000$925,000$925,000$925,000$925,000$925,000$NoLien / Lien NHL
Matt BenningFlyersD275/25/1994No203 Lbs6 ft1NoNoYes1Pro & Farm950,000$950,000$950,000$950,000$950,000$950,000$NoLien / Lien NHL
Michael Rasmussen (contrat à 1 volet)FlyersC/LW/RW224/17/1999No210 Lbs6 ft6NoNoYes1Pro & Farm1,700,000$1,700,000$1,700,000$1,700,000$1,700,000$1,700,000$NoLien / Lien NHL
Mike Smith (contrat à 1 volet)FlyersG393/22/1982No220 Lbs6 ft5YesNoYes4Pro & Farm2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$No2,000,000$2,000,000$2,000,000$Lien / Lien NHL
Mitchell Marner (contrat à 1 volet)FlyersC/LW/RW245/5/1997No172 Lbs6 ft0NoNoYes2Pro & Farm6,300,000$6,300,000$6,300,000$6,300,000$6,300,000$6,300,000$No6,300,000$Lien / Lien NHL
Nick Bonino (contrat à 1 volet)FlyersC334/20/1988No195 Lbs6 ft1NoNoYes2Pro & Farm5,500,000$5,500,000$5,500,000$5,500,000$5,500,000$5,500,000$No5,500,000$Lien / Lien NHL
Nick Schmaltz (contrat à 1 volet)FlyersC/RW252/23/1996No181 Lbs6 ft0NoNoYes2Pro & Farm6,425,000$6,425,000$6,425,000$6,425,000$6,425,000$6,425,000$No6,425,000$Lien / Lien NHL
Ondrej Kase (contrat à 1 volet)FlyersLW/RW2611/8/1995No187 Lbs6 ft0NoNoYes1Pro & Farm3,000,000$3,000,000$3,000,000$3,000,000$3,000,000$3,000,000$NoLien / Lien NHL
Patrice Bergeron (contrat à 1 volet)FlyersC367/24/1985No195 Lbs6 ft1NoNoYes3Pro & Farm7,200,000$7,200,000$7,200,000$7,200,000$7,200,000$7,200,000$No7,200,000$7,200,000$Lien / Lien NHL
Philipp Grubauer (contrat à 1 volet)FlyersG3011/25/1991No188 Lbs6 ft1NoNoYes1Pro & Farm2,600,000$2,600,000$2,600,000$2,600,000$2,600,000$2,600,000$NoLien / Lien NHL
Scott Laughton (contrat à 1 volet)FlyersC/LW275/30/1994No190 Lbs6 ft1NoNoYes4Pro & Farm3,300,000$3,300,000$3,300,000$3,300,000$3,300,000$3,300,000$No3,300,000$3,300,000$3,300,000$Lien / Lien NHL
Shea WeberFlyersD368/14/1985 3:16:57 AMNo230 Lbs6 ft4NoNoYes1Pro & Farm750,000$750,000$750,000$750,000$750,000$750,000$NoLien / Lien NHL
Timo Meier (contrat à 1 volet)FlyersLW/RW2510/8/1996No220 Lbs6 ft1NoNoYes1Pro & Farm5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.22200 Lbs6 ft22.173,586,957$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
82,500,000$59,425,000$30,850,000$21,650,000$6,350,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1
Svechnikov
Bergeron
Schmaltz
33023
2
Meier
Tavares
Marner
32023
3
Laughton
Dach
Kase
25122
4
Rasmussen
Bonino
Marner
10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Makar
Trouba
35032
2
Faulk
Weber
33032
3
Pelech
Dillon
22122
4
Pelech
Faulk
10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1
Svechnikov
Bergeron
Marner
60005
2
Meier
Tavares
Schmaltz
40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Makar
Weber
60014
2
Faulk
Trouba
40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1
Bonino
Kase
60140
2
Dach
Laughton
40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Pelech
Weber
60140
2
Trouba
Faulk
40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1
Bonino
60140
Trouba
Pelech
60122
2
Laughton
40140
Weber
Faulk
40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1
Bergeron
Svechnikov
60122
2
Tavares
Marner
40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Makar
Trouba
60122
2
Faulk
Weber
40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Svechnikov
Bergeron
Marner
Makar
Faulk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Laughton
Bonino
Dach
Pelech
Trouba
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Marner
Bergeron
Svechnikov
Marner
Dach
Rasmussen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Makar
Faulk
Weber
Faulk
Makar
Weber
Tirs de pénalité
Svechnikov
Marner
Bergeron
Tavares
Meier
Gardien
#1 :
Grubauer
#2 :
Smith
Lignes d’attaque personnalisées en prolongation
Bergeron
Marner
Svechnikov
Tavares
Meier
Schmaltz
Laughton
Dach
Kase
Lignes de défense personnalisées en prolongation
Makar
Faulk
Weber
Trouba
Pelech


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
3 - 2022-10-0912Devils-Flyers-
5 - 2022-10-1126Canucks-Flyers-
8 - 2022-10-1453Flyers-Lightning-
9 - 2022-10-1556Flyers-Panthers-
12 - 2022-10-1883Flyers-Predators-
13 - 2022-10-1991Sharks-Flyers-
17 - 2022-10-23112Panthers-Flyers-
19 - 2022-10-25132Hurricanes-Flyers-
22 - 2022-10-28149Flyers-Rangers-
23 - 2022-10-29159Flyers-Maple Leafs-
26 - 2022-11-01183Flyers-Senators-
29 - 2022-11-04199Blues-Flyers-
31 - 2022-11-06214Flyers-Blue Jackets-
33 - 2022-11-08225Senators-Flyers-
34 - 2022-11-09238Stars-Flyers-
36 - 2022-11-11250Flyers-Blue Jackets-
38 - 2022-11-13265Flyers-Bruins-
40 - 2022-11-15281Flyers-Canadiens-
42 - 2022-11-17292Flames-Flyers-
44 - 2022-11-19312Flyers-Capitals-
46 - 2022-11-21324Penguins-Flyers-
47 - 2022-11-22337Flyers-Islanders-
50 - 2022-11-25353Islanders-Flyers-
52 - 2022-11-27367Lightning-Flyers-
54 - 2022-11-29382Devils-Flyers-
56 - 2022-12-01397Avalanche-Flyers-
58 - 2022-12-03413Capitals-Flyers-
60 - 2022-12-05432Flyers-Golden Knights-
62 - 2022-12-07445Flyers-Coyotes-
64 - 2022-12-09464Flyers-Avalanche-
66 - 2022-12-11473Flyers-Devils-
68 - 2022-12-13489Rangers-Flyers-
71 - 2022-12-16510Blue Jackets-Flyers-
73 - 2022-12-18525Flyers-Maple Leafs-
74 - 2022-12-19535Flyers-Hurricanes-
80 - 2022-12-25573Flyers-Sharks-
82 - 2022-12-27580Flyers-Kings-
84 - 2022-12-29597Flyers-Ducks-
87 - 2023-01-01612Coyotes-Flyers-
90 - 2023-01-04643Maple Leafs-Flyers-
93 - 2023-01-07659Capitals-Flyers-
96 - 2023-01-10681Flyers-Capitals-
98 - 2023-01-12695Flyers-Bruins-
99 - 2023-01-13705Ducks-Flyers-
101 - 2023-01-15719Blackhawks-Flyers-
103 - 2023-01-17735Flyers-Red Wings-
104 - 2023-01-18749Jets-Flyers-
106 - 2023-01-20757Kings-Flyers-
108 - 2023-01-22779Flyers-Wild-
110 - 2023-01-24790Flyers-Jets-
119 - 2023-02-02807Islanders-Flyers-
122 - 2023-02-05822Oilers-Flyers-
124 - 2023-02-07836Predators-Flyers-
125 - 2023-02-08848Kraken-Flyers-
129 - 2023-02-12876Flyers-Kraken-
131 - 2023-02-14890Flyers-Canucks-
133 - 2023-02-16905Flyers-Flames-
134 - 2023-02-17916Flyers-Oilers-
137 - 2023-02-20932Canadiens-Flyers-
138 - 2023-02-21941Flyers-Devils-
142 - 2023-02-25968Rangers-Flyers-
145 - 2023-02-28990Flyers-Sabres-
146 - 2023-03-011003Red Wings-Flyers-
148 - 2023-03-031014Flyers-Lightning-
150 - 2023-03-051030Flyers-Hurricanes-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2023-03-071039Flyers-Penguins-
155 - 2023-03-101066Golden Knights-Flyers-
158 - 2023-03-131091Sabres-Flyers-
159 - 2023-03-141099Hurricanes-Flyers-
162 - 2023-03-171122Panthers-Flyers-
164 - 2023-03-191136Wild-Flyers-
166 - 2023-03-211150Red Wings-Flyers-
169 - 2023-03-241177Canadiens-Flyers-
171 - 2023-03-261193Flyers-Senators-
173 - 2023-03-281206Sabres-Flyers-
174 - 2023-03-291221Flyers-Penguins-
176 - 2023-03-311234Flyers-Blues-
178 - 2023-04-021252Flyers-Stars-
180 - 2023-04-041268Flyers-Islanders-
181 - 2023-04-051273Bruins-Flyers-
183 - 2023-04-071287Blue Jackets-Flyers-
185 - 2023-04-091306Flyers-Blackhawks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité57504750375027501000
Prix des billets1251007550300
Assistance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$1800095

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 82,500,000$ 82,500,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
445,946$ 0$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 185 478,378$ 88,499,930$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
91,923,355$ 49,601,972$ -42,321,383$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
82,500,010$ -10$ 82,500,000$ 21,500,010$

Retained Salary
Player2022-20232023-20242024-20252025-20262026-2027
Total0$0$0$0$0$

Retained Buyout
Player2022-20232023-20242024-20252025-20262026-20272027-2028
Total0$0$0$0$0$0$



Charte de profondeur

Ailier gaucheCentreAilier droit
Mitchell MarnerAGE:24PO:0OV:76
Andrei SvechnikovAGE:21PO:0OV:73
Timo MeierAGE:25PO:0OV:72
Ondrej KaseAGE:26PO:0OV:69
Scott LaughtonAGE:27PO:0OV:69
Frank VatranoAGE:27PO:0OV:67
Nathan WalkerAGE:27PO:0OV:67
Michael RasmussenAGE:22PO:0OV:67
Brad MaloneAGE:32PO:0OV:66
Jack Quinn (R)AGE:20PO:0OV:65
Lukas Reichel (R)AGE:19PO:0OV:65
Axel Jonsson-Fjallby (R)AGE:23PO:0OV:63
Brandon BaddockAGE:26PO:0OV:61
Dillon Hamaliuk (R)AGE:21PO:0OV:59
Mitchell MarnerAGE:24PO:0OV:76
Patrice BergeronAGE:36PO:0OV:75
John TavaresAGE:31PO:0OV:73
Nick SchmaltzAGE:25PO:0OV:71
Kirby DachAGE:20PO:0OV:70
Nick BoninoAGE:33PO:0OV:69
Scott LaughtonAGE:27PO:0OV:69
Frank VatranoAGE:27PO:0OV:67
Michael RasmussenAGE:22PO:0OV:67
Brad MaloneAGE:32PO:0OV:66
Gerry MayhewAGE:29PO:0OV:65
Jack Studnicka (R)AGE:22PO:0OV:64
Nicolas Aube-Kubel (R)AGE:25PO:0OV:64
Rourke Chartier (R)AGE:25PO:0OV:63
Adam GaudetteAGE:25PO:0OV:63
Kristian Reichel (R)AGE:23PO:0OV:60
Cameron Hillis (R)AGE:21PO:0OV:59
Jamieson Rees (R)AGE:20PO:0OV:59
Kyle Topping (R)AGE:22PO:0OV:58
Mitchell MarnerAGE:24PO:0OV:76
Andrei SvechnikovAGE:21PO:0OV:73
Timo MeierAGE:25PO:0OV:72
Nick SchmaltzAGE:25PO:0OV:71
Kirby DachAGE:20PO:0OV:70
Ondrej KaseAGE:26PO:0OV:69
Frank VatranoAGE:27PO:0OV:67
Michael RasmussenAGE:22PO:0OV:67
Gerry MayhewAGE:29PO:0OV:65
Jack Quinn (R)AGE:20PO:0OV:65
Lukas Reichel (R)AGE:19PO:0OV:65
Nicolas Aube-Kubel (R)AGE:25PO:0OV:64
Wade Allison (R)AGE:24PO:0OV:64
Axel Jonsson-Fjallby (R)AGE:23PO:0OV:63
William Lockwood (R)AGE:23PO:0OV:61
Kristian Reichel (R)AGE:23PO:0OV:60

Défense #1Défense #2Gardien
Cale MakarAGE:23PO:0OV:76
Shea WeberAGE:36PO:0OV:73
Justin FaulkAGE:29PO:0OV:73
Jacob TroubaAGE:27PO:0OV:71
Bowen Byram (R)AGE:20PO:0OV:68
Adam PelechAGE:27PO:0OV:68
Brenden DillonAGE:31PO:0OV:67
Matt BenningAGE:27PO:0OV:65
Travis DermottAGE:25PO:0OV:65
Kyle BurroughsAGE:26PO:0OV:63
Cameron SchillingAGE:33PO:0OV:62
Dylan McIlrathAGE:29PO:0OV:61
Kaedan Korczak (R)AGE:20PO:0OV:61
Doyle SomerbyAGE:27PO:0OV:61
Chris BigrasAGE:26PO:0OV:60
Max Gildon (R)AGE:22PO:0OV:60
Samuel Bolduc (R)AGE:21PO:0OV:60
Wyatte Wylie (R)AGE:22PO:0OV:59
Dawson Barteaux (R)AGE:21PO:0OV:57
Mike SmithAGE:39PO:0OV:78
Philipp GrubauerAGE:30PO:0OV:77
Pheonix CopleyAGE:29PO:0OV:66
Daniil Tarasov (R)AGE:22PO:0OV:65
Matthew Villalta (R)AGE:22PO:0OV:63
Filip LindbergAGE:22PO:0OV:61
Rasmus KorhonenAGE:19PO:0OV: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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Adam SykoraFlyers2022104
Adam TambelliniFlyersLien
Adam WilsbyFlyers22197
Alan LyszczarczykFlyers
Albert JohanssonFlyers2173
Albin ErikssonFlyers2070
Alexander DergachyovFlyers
Alexander SuvorovFlyers23233
Arvid EljasFlyers23201
Ben MirageasFlyers
Benjamin BaumgartnerFlyers22214
Brandon KozunFlyers
Brendan BudyFlyers20203
Brennan AliFlyers2022213
Brent JohnsonFlyers2373
Colby AmbrosioFlyers22125
Colin GreeningFlyersLien
Danil GushchinFlyers2268
Danila ZhuravlyovFlyers20165
Danill MisyulFlyers21103
Denis SmirnovFlyers
Dmitri OvchinnikovFlyers22104
Drew ShoreFlyers
Dylan GarandFlyers22135
Elias Pettersson (P)Flyers
Elias StenmanFlyers23187
Felix GirardFlyersLien
Gregory ChaseFlyers
Gustav KarlssonFlyers2022255
Ivan ChekhovichFlyersLien
Jake BischoffFlyersLien
Jeremy SmithFlyersLien
Jesper MyrenbergFlyers20233
Jiri TichacekFlyers2398
Jonny TychonickFlyers2041
Jordan GustafsonFlyers2022106
Karl HenrikssonFlyers2186
Kirill MarchenkoFlyers2067
Linus NymanFlyers
Loik LeveilleFlyers
Lukas GustafssonFlyers23169
Marat KhusnutdinovFlyers2242
Marcus KallionkieliFlyers21132
Marko StachaFlyers22228
Martin JohnsenFlyers2022245
Matheson IacopelliFlyersLien
Matthew StruthersFlyers20227
Mitchell MillerFlyers2294
Nando EggenbergerFlyers20123
Owen Van SteenselFlyers2022223
Parker FordFlyers22205
Patrick CehlinFlyers
Patrik VirtaFlyers20226
Petteri LindbohmFlyers
Rory KerinsFlyers22145
Ryan BourqueFlyersLien
Ryann O'ReillyFlyers
Sami VatanenFlyersLien
Samuel KnazkoFlyers22105
Scott WalfordFlyers
Sean TschigerlFlyers2386
Servac PetrovskyFlyers2022127
Stefan ElliottFlyersLien
Stephen DhillonFlyers
Tobias LindbergFlyersLien
Toni UtunenFlyers20217
Tyler SoyFlyers
Veeti MiettinenFlyers2291
Vladimir GrudininFlyers202246

Choix au repêchage

Année R1R2R3R4R5R6R7R8
2023
2024
2025
2026
2027




La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[8/15/2022 1:12:30 PM] - TRADE : From Flyers to Blue Jackets : Alexander Romanov (66), Alex Steeves (64), Brayden Pachal (60).
[8/15/2022 1:12:30 PM] - TRADE : From Blue Jackets to Flyers : Shea Weber (73).
[8/11/2022 10:03:25 AM] - TRADE : From Flyers to Bruins : $10,000,000 (Money).
[8/11/2022 10:03:25 AM] - TRADE : From Bruins to Flyers : Y:2023-RND:4-TBL, Y:2023-RND:6-BOS.
[8/8/2022 12:28:35 PM] - Phantoms hired Ryan Craig for $500,000 for 1 year(s).
[8/8/2022 12:28:05 PM] - Flyers hired Dave Tippett for $6,000,000 for 1 year(s).
[7/13/2022 9:22:56 AM] - Dylan McIlrath signed with Flyers for $800,000 for 3 year(s).
[7/13/2022 9:22:56 AM] - Dylan McIlrath was added to Flyers.
[7/13/2022 9:22:53 AM] - Doyle Somerby signed with Flyers for $800,000 for 3 year(s).
[7/13/2022 9:22:53 AM] - Doyle Somerby was added to Flyers.
[7/13/2022 9:22:50 AM] - Chris Bigras signed with Flyers for $800,000 for 3 year(s).
[7/13/2022 9:22:50 AM] - Chris Bigras was added to Flyers.
[7/13/2022 9:22:46 AM] - Cameron Schilling signed with Flyers for $800,000 for 3 year(s).
[7/13/2022 9:22:46 AM] - Cameron Schilling was added to Flyers.
[7/7/2022 8:34:35 AM] - Brandon Baddock signed with Flyers for $760,000 for 3 year(s).
[7/7/2022 8:34:35 AM] - Brandon Baddock was added to Flyers.
[7/5/2022 11:23:26 AM] - Brad Malone signed with Flyers for $950,000 for 3 year(s).
[7/5/2022 11:23:26 AM] - Brad Malone was added to Flyers.
[7/4/2022 9:27:29 AM] - TRADE : From Flyers to Bruins : $10,000,000 (Money), Y:2024-RND:8-PHI.
[7/4/2022 9:27:29 AM] - TRADE : From Bruins to Flyers : Y:2023-RND:5-BOS, Y:2023-RND:5-TOR, Y:2023-RND:8-BOS.
[6/27/2022 2:46:50 PM] - Kevin Roy was released.
[6/27/2022 2:46:50 PM] - Michael Raffl was released.
[6/27/2022 11:19:52 AM] - Nicolas Aube-Kubel signed with Flyers for $750,000 for 2 year(s).
[6/27/2022 11:19:52 AM] - Nicolas Aube-Kubel was added to Flyers.
[6/27/2022 11:19:42 AM] - Nathan Walker signed with Flyers for $750,000 for 3 year(s).
[6/27/2022 11:19:42 AM] - Nathan Walker was added to Flyers.
[6/27/2022 11:12:54 AM] - Adam Gaudette signed with Flyers for $750,000 for 2 year(s).
[6/27/2022 11:12:54 AM] - Adam Gaudette was added to Flyers.
[6/27/2022 11:11:02 AM] - Offer from Flyers for Craig Anderson of $1,000,000 for 3 year(s) with $3,000,000 in bonus has been refused.
[6/27/2022 11:10:35 AM] - Mike Smith signed with Flyers for $2,000,000 for 4 year(s) / Option : 1 Way Contract & No Trade & Signing Bonus of $8,000,000.
[6/27/2022 11:10:35 AM] - Mike Smith was added to Flyers.
[6/21/2022 12:34:08 PM] - TRADE : From Coyotes to Flyers : Frank Vatrano (67).
[6/21/2022 11:47:53 AM] - Travis Dermott signed with Flyers for $750,000 for 2 year(s).
[6/21/2022 11:47:53 AM] - Travis Dermott was added to Flyers.
[6/21/2022 11:33:26 AM] - Rasmus Korhonen signed with Flyers for $999,999 for 3 year(s) / Signing Bonus of $2,999,997.
[6/21/2022 11:33:26 AM] - Rasmus Korhonen was added to Flyers.
[6/21/2022 11:26:02 AM] - Filip Lindberg signed with Flyers for $999,999 for 3 year(s) / Signing Bonus of $2,999,997.
[6/21/2022 11:26:02 AM] - Filip Lindberg was added to Flyers.



[10/4/2022 9:33:41 AM] Flyers are expected to be over the salary cap by $10!
[10/2/2022 9:30:00 AM] Flyers are expected to be over the salary cap by $10!
[9/30/2022 11:19:19 AM] Flyers are expected to be over the salary cap by $10!
[9/29/2022 4:53:38 PM] Flyers are expected to be over the salary cap by $10!
[9/29/2022 4:12:53 PM] Flyers are expected to be over the salary cap by $10!
[9/29/2022 10:53:43 AM] Flyers are expected to be over the salary cap by $10!
[9/29/2022 10:46:38 AM] Flyers are expected to be over the salary cap by $10!
[9/29/2022 10:46:29 AM] Successfully loaded Flyers lines done with STHS Client - 3.3.1.1
[9/29/2022 10:46:29 AM] Jack Quinn of Flyers was sent to pro.
[9/29/2022 10:46:29 AM] Bowen Byram of Flyers was sent to pro.



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
1Mitch Marner70033208384170491708372394161692927710.96%169414177120.244166061022354518182850525036.11%30.99163418
2Cale Makar671074048835623-752276828710597106926.92%662615619423.2824713021549586200082165810.00%00.7200
3Timo Meier6723205827044762186366252033270151759211.70%25612307918.314959041399379700022488334.02%10.77162411
4Nick Schmaltz67231625302246471370164114485861525310.65%65612250918.2240673911452935000822448253.70%00.7681406
5Andrei Svechnikov6806221521564371116370072480475571840212.04%33014442821.223322555873471000032624536.71%00.6183328

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
1Philipp Grubauer5327308315475930.9092.66314883664250139741527342282491670.7381934
2Antti Raanta18175008243260.8893.22101345324825442490780100.506330
3Jaroslav Halak22712475240.9162.6813302354595705630881570.750116
4Jonas Hiller1407048190.9152.6283224036442631788650.70872
5Carter Hutton125624170.9002.9365391043193191555420.75056

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
582363501145264262241172001012122129-74119150013314213398826444971325066979624590765858811261394398716972757025.45%2946876.87%7844166250.78%892175450.86%695142648.74%167189018958591560783
682313605253243244-1411712041521221041841142401101121140-198724340164420065947425530755888879256481092017202414819.92%2986478.52%9884182348.49%1042202451.48%658134049.10%1734972378117011517746
782253701379203230-2741141600236109117-84111210114394113-197820332853100039817523580682814829241185199617912263415.04%3156978.10%5910181850.06%969191150.71%648131449.32%175597017077731544759
882293603077216231-154112200204395110-154117160103412112108521634155741049857224660788887770248883893316472595119.69%3045581.91%3998197350.58%1043207750.22%573115549.61%171895317557861521744
9823130023610242250-841151601243112122-1041161401127130128291242383625300588492264507579259392506752106116812744717.15%3335583.48%31041211949.13%1034202651.04%609121750.04%174297117487811516737
1082402702436243207364121150012211310013411912023141301072310024339964233066868625980806921853259876699616152614818.39%3436680.76%71000196250.97%1092213851.08%558113849.03%169193817607931527741
11822733043872262233411513032531171001741122001134109123-148822636859413064886225830809913832258583688816572755319.27%3766383.24%6957201347.54%1001213946.80%570117348.59%173696617847961489722
128236310128425424014412112011421401083241151900142114132-189625442567910063869627770957930868265692491416543155216.51%3458575.36%51033213648.36%995209747.45%588122348.08%1777101217587641449717
1382322904494254253141181402151131129241141502343123124-19825441066432051949626290833883887262287486717582435522.63%3746981.55%9928196647.20%998201249.60%554116847.43%175399117847691463709
14823124026127238232641131401382116120-4411810013451221121010323837961731055759425490824844850259287462016013006220.67%2524482.54%31027198151.84%958197348.56%631116754.07%173093817747781523772
15823723061123252217354119120315111710314411811030721351142111425240565712058948227340855927917270391650316182745620.44%2263783.63%41023207049.42%970194649.85%623122151.02%174499517957571464730
1682323004655241253-1241131803331116127-1141191201324125126-19324142466513075847323770741813793251777255415762203616.36%1913581.68%31342272249.30%1423280950.66%626128548.72%1885131320645981039506
1786363302447260261-1432014002431361241243161902204124137-139526046372323095926727330905909892249074943116952434217.28%1834277.05%31607312551.42%1447279251.83%698136751.06%2082146120546151091541
1882314201224218254-3641162001112106116-1041152200112112138-267421839060843085735724440820823786243675046615562093516.75%1783182.58%11471275553.39%1341265850.45%670126852.84%1944135819945731018511
19822835023410234277-4341151801223115139-2441131701127119138-198123441564941086796323370781799736256976348015902003115.50%2123185.38%01282268547.75%1301281246.27%648133548.54%1905132820565921032510
2082224203573180241-614111200224286112-264111220133194129-357218031449415062555320650680685675249374569417452623714.12%2735280.95%01246252249.41%1367288747.35%603118750.80%1926132920056071054516
2182293602654224236-124116180112312511964113180153199117-188222439561902083676721770692704753235473876318282995016.72%2996279.26%11236268945.97%1273269847.18%599127646.94%1930132620066101043517
2282343802422241237441162002210119121-24118180021212211668224142166215087807023070739775779234667263717933065517.97%2595877.61%11394278150.13%1293270647.78%628128848.76%1993138219205951038524
2382362803843265236294116150142312712524120130242013811127972654767412398907013249884377984954240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
2382362803843265236294116150142312712524120130242013811127972654767412398907013249884377984954240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
Total Saison régulière221889184907413114612766186472146110943342703763816832403225151109458422037686559337832471312480661811394180125466196207322641891672731686216482244920900672062036918804461077283133018.26%7287143680.29%97333186645250.14%337146685750.43%170113390650.17%511203304452684191113321216525
Séries éliminatoires
640400000615-92020000037-42020000038-5069150003211240404935133384254300.00%19668.42%05210052.00%439346.24%366258.06%8044387117387034
9734000001520-53120000048-4422000001112-161524391003471830645265211727711624520.83%32584.38%09317553.14%7916946.75%459746.39%137691617113767
10514000001215-331200000910-12020000035-221217290003721640644452167645110618316.67%17288.24%16213147.33%6312550.40%226434.38%9852116488944
12954000002526-1431000001385523000001218-6102536610002139278087110802829713821836411.11%451273.33%112426147.51%8521040.48%5812546.40%1871041978416076
1340400000616-102020000036-320200000310-706915000231121038423812124738015320.00%34585.29%05510253.92%5110349.51%305356.60%814289417233
14624000001719-231200000911-231200000880417294600073716806337662166172100321031.25%27485.19%07614851.35%8617549.14%428251.22%116581386011358
15514000001117-631200000810-22020000037-42112031000443165049426416569489321314.29%17382.35%06913850.00%5312044.17%356851.47%11363108478945
232015500000654520963000002820811920000037251230651161810202125166170185215201572161140485781721.79%661084.85%136072849.45%36975648.81%15229451.70%484335488150258131
Total Séries éliminatoires60273300000157173-16291316000007780-3311417000008093-135415726041712045614618200590591601186758664112522274519.82%2574781.71%3891178349.97%829175147.34%42084549.70%129877051702243991491

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
1Mitchell Marner2012112310044610711.21%445922.992352000002141.03%01.0000
2Cale Makar2051318482736559.09%1546323.17448280000110.00%00.7800
3Gabriel Landeskog1910818-41238296116.39%839520.8164101400013141.03%10.9100
4John Tavares20612181145445311.32%239619.84055800002056.68%00.9100
5Andrei Svechnikov20581311168026549.26%140720.402461400002033.33%00.6400

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
1Philipp Grubauer2115500.9172.37121702485776100.0000
2Jaroslav Halak135710.9022.987660038387179100.0000
3Jonas Hiller124530.9102.767380034377176010.0000
4Josh Harding62210.9192.79344001619879000.0000
5Carter Hutton51220.8973.29310001716580000.0000