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Connexion

Flyers
GP: 2 | W: 1 | L: 0 | OTL: 1 | P: 3
GF: 8 | GA: 7 | PP%: 25.00% | PK%: 50.00%
DG: Yannick Bernier | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #27 vs Golden Knights
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Centre de jeu
Blackhawks
1-1-0, 2pts
4
FINAL
3 Flyers
1-0-1, 3pts
Team Stats
L1StreakW1
0-1-0Home Record0-0-1
1-0-0Away Record1-0-0
1-1-0Last 10 Games1-0-1
3.00Buts par match 4.00
3.50Buts contre par match 3.50
28.57%Pourcentage en avantage numérique25.00%
83.33%Pourcentage en désavantage numérique50.00%
Flyers
1-0-1, 3pts
5
FINAL
3 Senators
1-1-0, 2pts
Team Stats
W1StreakW1
0-0-1Home Record0-1-0
1-0-0Away Record1-0-0
1-0-1Last 10 Games1-1-0
4.00Buts par match 3.50
3.50Buts contre par match 3.50
25.00%Pourcentage en avantage numérique21.43%
50.00%Pourcentage en désavantage numérique66.67%
Golden Knights
2-0-0, 4pts
2022-10-15
Flyers
1-0-1, 3pts
Statistiques d’équipe
W2SéquenceW1
1-0-0Fiche domicile0-0-1
1-0-0Fiche visiteur1-0-0
2-0-010 derniers matchs1-0-1
2.50Buts par match 4.00
1.00Buts contre par match 4.00
12.50%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique50.00%
Flyers
1-0-1, 3pts
2022-10-16
Golden Knights
2-0-0, 4pts
Statistiques d’équipe
W1SéquenceW2
0-0-1Fiche domicile1-0-0
1-0-0Fiche visiteur1-0-0
1-0-110 derniers matchs2-0-0
4.00Buts par match 2.50
3.50Buts contre par match 2.50
25.00%Pourcentage en avantage numérique12.50%
50.00%Pourcentage en désavantage numérique75.00%
Islanders
2-0-0, 4pts
2022-10-17
Flyers
1-0-1, 3pts
Statistiques d’équipe
W2SéquenceW1
1-0-0Fiche domicile0-0-1
1-0-0Fiche visiteur1-0-0
2-0-010 derniers matchs1-0-1
3.00Buts par match 4.00
1.50Buts contre par match 4.00
0.00%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique50.00%
Meneurs d'équipe
Buts
Chris Kreider
2
Passes
Chris Kreider
3
Points
Chris Kreider
5
Plus/Moins
Chris Kreider
2
Victoires
Jacob Markstrom
1
Pourcentage d’arrêts
Cam Talbot
0.9

Statistiques d’équipe
Buts pour
8
4.00 GFG
Tirs pour
52
26.00 Avg
Pourcentage en avantage numérique
25.0%
2 GF
Début de zone offensive
41.1%
Buts contre
7
3.50 GAA
Tirs contre
62
31.00 Avg
Pourcentage en désavantage numérique
50.0%
3 GA
Début de la zone défensive
38.4%
Informations de l'équipe

Directeur généralYannick Bernier
EntraîneurDavid Hakstol
DivisionMetropolitain
ConférenceEast
Capitaine
Assistant #1Jonas Brodin
Assistant #2


Informations de l’aréna

NomWells Fargo Center
Capacité19,543
Assistance13,408
Billets de saison8,794


Informations de la formation

Équipe Pro20
Équipe Mineure27
Limite contact 47 / 60
Espoirs14


Plafond salarial

Cap Salarial de la Saison estimé78,381,190$
Plafond salarial disponible6,618,810$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour2,464,022$
Dépenses annuelles à ce jour2,091,240$
Revenus de la saison estimés98,560,880$
Dépenses de la saison estimées79,989,930$
Compte bancaire actuel53,862,298$
Compte bancaire projeté72,191,797$


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
1Chris Kreider0XX100.008245909180799185497597746376768750003114,625,000$
2Erik Haula0XX100.008254828370699064897674686372757450003122,625,000$
3Josh Anderson0XX100.008777748585768677426579682567697650002836,000,000$
4Logan O'Connor0X100.00775686776467775932655985255859685000263725,000$
5Ryan Johansen0X100.007354818081748985938284676177808050003038,000,000$
6Ryan Strome0X100.006752748471799184788179695073737850002924,500,000$
7Tyler Toffoli0XX100.007644938571748977507978723373777850003035,000,000$
8Zach Parise0X100.006942898169708973396971757289947350003811,500,000$
9Artemi Panarin0X100.0061409194638084834497806585727280500030311,642,857$
10Michael Sgarbossa0X100.00694299796755586786657260254545695000303750,000$
11Andreas Johnsson0XX100.007343878268688666337571657964647250002723,400,000$
12Alex Formenton0X100.00786679856870826836647780255656745000231888,333$
13Alex Goligoski0X100.007142868067779069256848778086866550003711,000,000$
14Adam Fox0X100.006341898966909283258156906363637550002411,775,000$
15Dylan DeMelo0X100.008044888070768962255247872569706450002923,000,000$
16Jonas Brodin (A)0X100.006742918371898973256649872575786850002926,000,000$
17Josh Morrissey0X100.008445768471899382256558762567697150002736,500,000$
18Troy Stecher0X100.007664868369706361254648772565656150002821,700,000$
Rayé
Équipe Mineure
1John Leonard (R)0XX100.007343997266597863445758642550506350002421,137,500$
2Quinton Byfield (R)0X99.006543858281637062696169637548486550002023,544,167$
3Tyce Thompson (R)0X100.006866726666545166506465626244446450002311,125,000$
4Alex Limoges0X100.00797492587461616278546566624444645000252867,000$
5Cole Bardreau0X100.00766895636856566075526267595555635000291700,000$
6Lane Pederson0XX100.00844589717057676052575564254848615000251690,000$
7Evan Barratt (R)0XX100.00696870646861635670505860554444595000231925,000$
8Gemel Smith0XXX100.00767482727450486176536267595656635000282700,000$
9Givani Smith0XX100.00849942718151695644575961255555605000243750,000$
10Nathan Bastian0X100.00947175747962827343587069255858705000241905,000$
11Taro Hirose0XX100.00674191695957807244655865255050645000262850,000$
12Jack Studnicka0XX100.00764391806563695876655568254747645000231863,333$
13Ty Smith0X100.006942898464748367255749662557576350002211,263,333$
14Zachary Jones (R)0X100.00614099706266636125524773754646595000211925,000$
15Jordan Harris (R)0X100.007543776764694160253950702544445850002241,137,500$
16Thomas Harley (R)0X100.007343937873637561254848632547475950002121,288,333$
17Mark Friedman0X100.00756675736862515925514875254747605000262775,000$
18David Farrance (R)0X100.007467907967495049254339603744445350002321,350,000$
19Simon Lundmark (R)0X100.00807591707551524725384163394444535000213925,000$
20Josiah Slavin (R)0X100.00714391707362656157575577254545635000232925,000$
21Brandon Gignac (R)0XX100.00716391716352506176575865555555625000242921,666$
22Stelio Mattheos (R)0XX100.00747279647253554961474560434444535000232925,000$
23Layton Ahac (R)0X100.00767091617047484725393961374444505000212925,000$
MOYENNE D’ÉQUIPE100.0074508684717585734671687547697173500
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
1Cam Talbot99.00787877817977837781787368697950003512,750,000$
2Jacob Markstrom100.00879288878688988888879068698950003226,000,000$
Rayé
Équipe Mineure
1Jiri Patera (R)100.0055425380605853595958304444565000233800,000$
2Dylan Ferguson (R)100.0052405072575651575857304444545000242733,333$
3Dustin Wolf (R)100.0061415160676162676564304444615000213825,000$
4Joseph Woll (R)100.0054475983575550575453304444535000241800,000$
MOYENNE D’ÉQUIPE99.508385838483839183858382686984500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Hakstol77848582777270CAN5333,000,000$


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
1Chris KreiderFlyersLW/RW22352004271328.57%04120.7202226000040020.721400002.4100000100
2Adam FoxFlyersD2033000034110.00%44623.130113600005000.00%000001.3000000000
3Josh MorrisseyFlyersD22131208040250.00%34522.572024600004100.00%000001.3300000010
4Jonas BrodinFlyersD2022100023100.00%44321.700001600003000.00%000000.9200000000
5Ryan JohansenFlyersC2022160355150.00%03919.5701106000020019.574600001.0200000000
6Ryan StromeFlyersC2022200054330.00%03417.0400026000000017.043900001.1700000000
7Artemi PanarinFlyersLW21121000341325.00%14120.5600006000040020.56200000.9700000001
8Erik HaulaFlyersC/LW2011-120121100.00%02713.5200000000000013.522800000.7400000000
9Josh AndersonFlyersLW/RW21012208041125.00%03417.0300006000000017.03100000.5900000001
10Tyler ToffoliFlyersLW/RW21012001250320.00%13819.2200016000040019.22300000.5200000000
11Zach PariseFlyersLW2101-1001052020.00%02613.1400000000000013.14200000.7600000000
12Alex GoligoskiFlyersD2000100520110.00%23015.280000000000000.00%000000.00%00000000
13Dylan DeMeloFlyersD2000100824120.00%34321.560004600003000.00%000000.00%00000000
14Logan O'ConnorFlyersRW2000000200000.00%0136.930000000000000.00%000000.00%00000000
15Michael SgarbossaFlyersC2000000110010.00%0136.930000000000006.93900000.00%00000000
16Troy StecherFlyersD2000100140000.00%23115.870000000001000.00%000000.00%00000000
17Andreas JohnssonFlyersLW/RW2000000012000.00%0136.930000000000006.93200000.00%00000000
18Alex FormentonFlyersLW2000-100230240.00%02814.150000000002000.00%100000.00%00000000
Statistiques d’équipe totales ou en moyenne368152312120453752162915.38%2059116.4424617620000351049.66%14700000.7800000112
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
1Jacob MarkstromFlyers11000.8643.0060003220000.00%011000
2Cam TalbotFlyers10010.9004.0060004400000.00%011000
Statistiques d’équipe totales ou en moyenne21010.8873.5012000762000022000


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 FoxFlyersD241998-02-17No181 Lbs5 ft11NoNoNo1Pro & Farm1,775,000$1,729,777$1,775,000$1,729,777$1,775,000$1,729,777$NoLien
Alex FormentonFlyersLW231999-09-13No165 Lbs6 ft2NoNoNo1Pro & Farm888,333$865,700$888,333$865,700$888,333$865,700$NoLien
Alex GoligoskiFlyersD371985-07-29No185 Lbs5 ft11YesNoNo1Pro & Farm1,000,000$974,522$1,000,000$974,522$1,000,000$974,522$NoLien
Andreas JohnssonFlyersLW/RW271994-11-20No194 Lbs5 ft10YesNoNo2Pro & Farm3,400,000$3,313,376$3,400,000$3,313,376$3,400,000$3,313,376$No3,400,000$Lien
Artemi PanarinFlyersLW301991-10-29No170 Lbs5 ft11NoNoNo3Pro & Farm11,642,857$11,346,224$11,642,857$11,346,224$11,642,857$11,346,224$No11,642,857$11,642,857$Lien
Cam TalbotFlyersG351987-07-04No193 Lbs6 ft4NoNoNo1Pro & Farm2,750,000$2,679,936$2,750,000$2,679,936$2,750,000$2,679,936$NoLien
Chris KreiderFlyersLW/RW311991-04-29No217 Lbs6 ft3NoNoNo1Pro Only4,625,000$4,507,166$4,625,000$4,507,166$4,625,000$4,507,166$NoLien
Dylan DeMeloFlyersD291993-05-01No191 Lbs6 ft0NoNoNo2Pro & Farm3,000,000$2,923,567$3,000,000$2,923,567$3,000,000$2,923,567$No3,000,000$Lien
Erik HaulaFlyersC/LW311991-03-23No193 Lbs6 ft0YesNoNo2Pro & Farm2,625,000$2,558,121$2,625,000$2,558,121$2,625,000$2,558,121$No2,625,000$Lien
Jacob MarkstromFlyersG321990-01-31No206 Lbs6 ft6NoNoNo2Pro & Farm6,000,000$5,847,134$6,000,000$5,847,134$6,000,000$5,847,134$No6,000,000$Lien
Jonas BrodinFlyersD291993-07-12No194 Lbs6 ft1NoNoNo2Pro & Farm6,000,000$5,847,134$6,000,000$5,847,134$6,000,000$5,847,134$No6,000,000$Lien
Josh AndersonFlyersLW/RW281994-05-07No226 Lbs6 ft3YesNoNo3Pro & Farm6,000,000$5,847,134$6,000,000$5,847,134$6,000,000$5,847,134$No6,000,000$6,000,000$Lien
Josh MorrisseyFlyersD271995-03-28No195 Lbs6 ft0YesNoNo3Pro & Farm6,500,000$6,334,395$6,500,000$6,334,395$6,500,000$6,334,395$No6,500,000$6,500,000$Lien
Logan O'ConnorFlyersRW261996-08-14No174 Lbs6 ft0NoNoNo3Pro & Farm725,000$706,529$725,000$706,529$725,000$706,529$No725,000$725,000$Lien
Michael SgarbossaFlyersC301992-07-25No182 Lbs6 ft0YesNoNo3Pro & Farm750,000$730,892$750,000$730,892$750,000$730,892$No750,000$750,000$Lien
Ryan JohansenFlyersC301992-07-31No218 Lbs6 ft3YesNoNo3Pro & Farm8,000,000$7,796,178$8,000,000$7,796,178$8,000,000$7,796,178$No8,000,000$8,000,000$Lien
Ryan StromeFlyersC291993-07-11No193 Lbs6 ft1NoNoNo2Pro & Farm4,500,000$4,385,350$4,500,000$4,385,350$4,500,000$4,385,350$No4,500,000$Lien
Troy StecherFlyersD281994-04-07No190 Lbs5 ft10NoNoNo2Pro & Farm1,700,000$1,656,688$1,700,000$1,656,688$1,700,000$1,656,688$No1,700,000$Lien
Tyler Toffoli (contrat à 1 volet)FlyersLW/RW301992-04-24No198 Lbs6 ft0YesNoNo3Pro Only5,000,000$4,872,611$5,000,000$4,872,611$5,000,000$4,872,611$No5,000,000$5,000,000$Lien
Zach PariseFlyersLW381984-07-28No193 Lbs5 ft11YesNoNo1Pro & Farm1,500,000$1,461,783$1,500,000$1,461,783$1,500,000$1,461,783$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.70193 Lbs6 ft12.053,919,060$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
78,381,190$65,842,857$38,617,857$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artemi PanarinRyan JohansenChris Kreider35113
2Josh AndersonRyan StromeTyler Toffoli30113
3Alex FormentonErik HaulaZach Parise25113
4Logan O'ConnorMichael SgarbossaAndreas Johnsson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJosh Morrissey35122
2Jonas BrodinDylan DeMelo35122
3Alex GoligoskiTroy Stecher20122
4Alex GoligoskiTroy Stecher10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris KreiderRyan JohansenTyler Toffoli50005
2Artemi PanarinRyan StromeJosh Anderson50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJosh Morrissey50113
2Jonas BrodinDylan DeMelo50113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris KreiderArtemi Panarin50122
2Ryan JohansenTyler Toffoli50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJosh Morrissey50122
2Jonas BrodinDylan DeMelo50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Kreider50122Adam FoxJosh Morrissey50122
2Artemi Panarin50122Jonas BrodinDylan DeMelo50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris KreiderArtemi Panarin50122
2Ryan JohansenTyler Toffoli50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJosh Morrissey50122
2Jonas BrodinDylan DeMelo50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artemi PanarinRyan JohansenChris KreiderAdam FoxJosh Morrissey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josh AndersonRyan StromeTyler ToffoliAdam FoxDylan DeMelo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Kreider, Ryan Johansen, Alex FormentonChris Kreider, Tyler ToffoliAlex Formenton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Fox, Troy Stecher, Jonas BrodinJosh MorrisseyTroy Stecher, Jonas Brodin
Tirs de pénalité
Chris Kreider, Artemi Panarin, Ryan Johansen, Tyler Toffoli, Ryan Strome
Gardien
#1 : Jacob Markstrom, #2 : Cam Talbot
Lignes d’attaque personnalisées en prolongation
Chris Kreider, Artemi Panarin, Ryan Johansen, Tyler Toffoli, Ryan Strome, Josh Anderson, Josh Anderson, Erik Haula, Alex Formenton, Zach Parise, Andreas Johnsson
Lignes de défense personnalisées en prolongation
Adam Fox, Josh Morrissey, Jonas Brodin, Dylan DeMelo, Troy Stecher


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
1Blackhawks1000010034-11000010034-10000000000010.5003580001202369804013827300.00%4250.00%0286046.67%245642.86%213070.00%2315246126
2Senators11000000532000000000001100000053221.0005101500140029617602274185240.00%2150.00%0286046.67%245642.86%213070.00%2517217126
Total210001008711000010034-11100000053230.75081523001520521226140622012458225.00%6350.00%0286046.67%245642.86%213070.00%493346132412
_Since Last GM Reset210001008711000010034-11100000053230.75081523001520521226140622012458225.00%6350.00%0286046.67%245642.86%213070.00%493346132412
_Vs Conference11000000532000000000001100000053221.0005101500140029617602274185240.00%2150.00%0286046.67%245642.86%213070.00%2517217126

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
23W181523526220124500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
210010087
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100010034
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000053
Derniers 10 matchs
WLOTWOTL SOWSOL
100100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
8225.00%6350.00%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
12261401520
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
286046.67%245642.86%213070.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
493346132412


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2022-10-106Blackhawks4Flyers3BLXSommaire du match
3 - 2022-10-118Flyers5Senators3AWSommaire du match
7 - 2022-10-1527Golden Knights-Flyers-
8 - 2022-10-1639Flyers-Golden Knights-
9 - 2022-10-1751Islanders-Flyers-
10 - 2022-10-1854Flyers-Senators-
13 - 2022-10-2169Flyers-Red Wings-
14 - 2022-10-2281Flyers-Blue Jackets-
15 - 2022-10-2387Penguins-Flyers-
17 - 2022-10-25104Blue Jackets-Flyers-
19 - 2022-10-27113Flyers-Senators-
21 - 2022-10-29124Maple Leafs-Flyers-
23 - 2022-10-31138Rangers-Flyers-
24 - 2022-11-01150Flyers-Rangers-
26 - 2022-11-03160Islanders-Flyers-
27 - 2022-11-04168Flyers-Islanders-
30 - 2022-11-07183Flyers-Golden Knights-
32 - 2022-11-09192Kings-Flyers-
34 - 2022-11-11201Flyers-Kings-
35 - 2022-11-12212Flyers-Stars-
36 - 2022-11-13220Red Wings-Flyers-
39 - 2022-11-16234Maple Leafs-Flyers-
41 - 2022-11-18244Flyers-Oilers-
42 - 2022-11-19256Flames-Flyers-
44 - 2022-11-21269Flyers-Canadiens-
46 - 2022-11-23274Flyers-Penguins-
47 - 2022-11-24285Ducks-Flyers-
50 - 2022-11-27299Rangers-Flyers-
52 - 2022-11-29311Flyers-Blue Jackets-
53 - 2022-11-30321Flyers-Blackhawks-
55 - 2022-12-02329Avalanche-Flyers-
57 - 2022-12-04344Maple Leafs-Flyers-
61 - 2022-12-08362Rangers-Flyers-
62 - 2022-12-09375Blackhawks-Flyers-
64 - 2022-12-11384Flyers-Maple Leafs-
65 - 2022-12-12394Flyers-Flames-
68 - 2022-12-15403Islanders-Flyers-
70 - 2022-12-17415Flyers-Blue Jackets-
71 - 2022-12-18424Jets-Flyers-
73 - 2022-12-20436Flyers-Avalanche-
74 - 2022-12-21446Blue Jackets-Flyers-
77 - 2022-12-24460Flyers-Senators-
78 - 2022-12-25470Blue Jackets-Flyers-
80 - 2022-12-27483Flyers-Jets-
82 - 2022-12-29491Blackhawks-Flyers-
86 - 2023-01-02510Flyers-Blues-
87 - 2023-01-03517Senators-Flyers-
90 - 2023-01-06534Red Wings-Flyers-
92 - 2023-01-08543Flyers-Golden Knights-
93 - 2023-01-09553Flyers-Ducks-
94 - 2023-01-10560Penguins-Flyers-
97 - 2023-01-13577Senators-Flyers-
98 - 2023-01-14590Flyers-Penguins-
100 - 2023-01-16599Lightning-Flyers-
101 - 2023-01-17610Flyers-Senators-
103 - 2023-01-19622Lightning-Flyers-
104 - 2023-01-20628Flyers-Lightning-
106 - 2023-01-22640Flyers-Penguins-
109 - 2023-01-25650Golden Knights-Flyers-
110 - 2023-01-26664Flyers-Red Wings-
111 - 2023-01-27671Flyers-Rangers-
112 - 2023-01-28675Stars-Flyers-
116 - 2023-02-01691Canadiens-Flyers-
117 - 2023-02-02706Golden Knights-Flyers-
119 - 2023-02-04715Flyers-Canadiens-
121 - 2023-02-06728Flyers-Red Wings-
122 - 2023-02-07734Flyers-Rangers-
123 - 2023-02-08740Sharks-Flyers-
124 - 2023-02-09749Flyers-Maple Leafs-
127 - 2023-02-12761Flyers-Lightning-
128 - 2023-02-13767Penguins-Flyers-
132 - 2023-02-17785Blues-Flyers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
135 - 2023-02-20801Blues-Flyers-
136 - 2023-02-21806Flyers-Islanders-
138 - 2023-02-23822Bruins-Flyers-
140 - 2023-02-25831Flyers-Sharks-
142 - 2023-02-27844Bruins-Flyers-
143 - 2023-02-28853Flyers-Bruins-
146 - 2023-03-03866Canadiens-Flyers-
148 - 2023-03-05872Flyers-Islanders-
149 - 2023-03-06878Flyers-Bruins-
155 - 2023-03-12892Oilers-Flyers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité62005200310040431000
Prix des billets2401509070450
Assistance4,2383,6262,2152,680649
Attendance PCT68.35%69.73%71.45%66.29%64.90%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 13408 - 68.61% 2,464,022$2,464,022$19543100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
2,091,240$ 79,081,190$ 79,081,190$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
78,381,190$ 1,996,972$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
98,560,880$ 153 522,810$ 79,989,930$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
83,090,216$ 53,862,298$ 72,191,797$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
78,381,190$ 6,618,810$ 85,000,000$ 18,381,190$



Charte de profondeur

Ailier gaucheCentreAilier droit
Chris KreiderAGE:31PO:87OV:0
Artemi PanarinAGE:30PO:80OV:0
Tyler ToffoliAGE:30PO:78OV:0
Josh AndersonAGE:28PO:76OV:0
Erik HaulaAGE:31PO:74OV:0
Alex FormentonAGE:23PO:74OV:0
Zach PariseAGE:38PO:73OV:0
Andreas JohnssonAGE:27PO:72OV:0
Taro HiroseAGE:26PO:64OV:0
John Leonard (R)AGE:24PO:63OV:0
Gemel SmithAGE:28PO:63OV:0
Josiah Slavin (R)AGE:23PO:63OV:0
Brandon Gignac (R)AGE:24PO:62OV:0
Givani SmithAGE:24PO:60OV:0
Evan Barratt (R)AGE:23PO:59OV:0
Ryan JohansenAGE:30PO:80OV:0
Ryan StromeAGE:29PO:78OV:0
Erik HaulaAGE:31PO:74OV:0
Michael SgarbossaAGE:30PO:69OV:0
Quinton Byfield (R)AGE:20PO:65OV:0
Alex LimogesAGE:25PO:64OV:0
Jack StudnickaAGE:23PO:64OV:0
Cole BardreauAGE:29PO:63OV:0
Gemel SmithAGE:28PO:63OV:0
Brandon Gignac (R)AGE:24PO:62OV:0
Lane PedersonAGE:25PO:61OV:0
Evan Barratt (R)AGE:23PO:59OV:0
Stelio Mattheos (R)AGE:23PO:53OV:0
Chris KreiderAGE:31PO:87OV:0
Tyler ToffoliAGE:30PO:78OV:0
Josh AndersonAGE:28PO:76OV:0
Andreas JohnssonAGE:27PO:72OV:0
Nathan BastianAGE:24PO:70OV:0
Logan O'ConnorAGE:26PO:68OV:0
Tyce Thompson (R)AGE:23PO:64OV:0
Taro HiroseAGE:26PO:64OV:0
Jack StudnickaAGE:23PO:64OV:0
John Leonard (R)AGE:24PO:63OV:0
Gemel SmithAGE:28PO:63OV:0
Lane PedersonAGE:25PO:61OV:0
Givani SmithAGE:24PO:60OV:0
Stelio Mattheos (R)AGE:23PO:53OV:0

Défense #1Défense #2Gardien
Adam FoxAGE:24PO:75OV:0
Josh MorrisseyAGE:27PO:71OV:0
Jonas BrodinAGE:29PO:68OV:0
Alex GoligoskiAGE:37PO:65OV:0
Dylan DeMeloAGE:29PO:64OV:0
Ty SmithAGE:22PO:63OV:0
Troy StecherAGE:28PO:61OV:0
Mark FriedmanAGE:26PO:60OV:0
Zachary Jones (R)AGE:21PO:59OV:0
Thomas Harley (R)AGE:21PO:59OV:0
Jordan Harris (R)AGE:22PO:58OV:0
David Farrance (R)AGE:23PO:53OV:0
Simon Lundmark (R)AGE:21PO:53OV:0
Layton Ahac (R)AGE:21PO:50OV:0
Jacob MarkstromAGE:32PO:89OV:0
Cam TalbotAGE:35PO:79OV:0
Dustin Wolf (R)AGE:21PO:61OV:0
Jiri Patera (R)AGE:23PO:56OV:0
Dylan Ferguson (R)AGE:24PO:54OV:0
Joseph Woll (R)AGE:24PO:53OV:0

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
Andrei BuyalskyFlyers2021104
Anton OlssonFlyers202182
Artur KayumovFlyers269
Jack HughesFlyers202232
Jan MysakFlyers202024
Josh BrookFlyers368Lien
Ludwig PerssonFlyers2022104
Matthew SamoskevichFlyers202138
Nick MalikFlyers202090
Nolan AllanFlyers202141
Paul LudwinskiFlyers202260
Tristan LuneauFlyers202238
Tyler BoucherFlyers202116
Zion NybeckFlyers202046

Choix au repêchage

Année R1R2R3R4R5
2023
2024
2025
2026
2027




La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.




[2022-09-24 07:41:41] - Offer from Flyers for Sean Monahan has been refused.
[2022-09-24 07:41:38] - Offer from Flyers for Phil Kessel has been refused.
[2022-09-24 07:41:33] - Offer from Flyers for Mike Matheson has been refused.
[2022-09-24 07:41:30] - Offer from Flyers for John Hayden has been refused.
[2022-09-24 07:40:49] - Alex Goligoski signed with Flyers for 1 000 000 $ for 1 year(s) / Option : No Trade.
[2022-09-24 07:40:49] - Alex Goligoski was added to Flyers.
[2022-09-19 21:42:35] - Zach Parise signed with Flyers for 1 500 000 $ for 1 year(s) / Option : No Trade.
[2022-09-19 21:42:35] - Zach Parise was added to Flyers.
[2022-09-19 21:41:40] - Tyce Thompson signed with Flyers for 1 125 000 $ for 1 year(s) / Option : No Trade.
[2022-09-19 21:41:40] - Tyce Thompson was added to Flyers.
[2022-09-19 21:38:13] - Michael Sgarbossa signed with Flyers for 750 000 $ for 3 year(s) / Option : No Trade.
[2022-09-19 21:38:13] - Michael Sgarbossa was added to Flyers.
[2022-09-19 21:35:23] - Josiah Slavin signed with Flyers for 925 000 $ for 2 year(s) / Option : No Trade.
[2022-09-19 21:35:23] - Josiah Slavin was added to Flyers.
[2022-09-19 21:28:44] - Brandon Gignac signed with Flyers for 921 666 $ for 2 year(s) / Option : No Trade.
[2022-09-19 21:28:44] - Brandon Gignac was added to Flyers.
[2022-09-19 21:27:48] - Andreas Johnsson signed with Flyers for 3 400 000 $ for 2 year(s).
[2022-09-19 21:27:48] - Andreas Johnsson was added to Flyers.
[2022-09-16 22:49:12] - Josh Morrissey signed with Flyers for 6 250 000 $ for 3 year(s) / Option : No Trade & Signing Bonus of 1 000 000 $.
[2022-09-16 22:49:12] - Josh Morrissey was added to Flyers.
[2022-09-16 22:46:27] - Josh Anderson signed with Flyers for 5 500 000 $ for 3 year(s) / Option : No Trade & Signing Bonus of 2 000 000 $.
[2022-09-16 22:46:27] - Josh Anderson was added to Flyers.
[2022-09-16 22:20:10] - Ryan Johansen signed with Flyers for 8 000 000 $ for 3 year(s) / Option : No Trade.
[2022-09-16 22:20:10] - Ryan Johansen was added to Flyers.
[2022-09-09 17:09:40] - Tyler Toffoli signed with Flyers for 4 250 000 $ for 3 year(s) / Option : 1 Way Contract & No Trade & Signing Bonus of 3 000 000 $.
[2022-09-09 17:09:40] - Tyler Toffoli was added to Flyers.
[2022-09-09 16:14:41] - Erik Haula signed with Flyers for 2 375 000 $ for 2 year(s) / Option : No Trade & Signing Bonus of 1 000 000 $.
[2022-09-09 16:14:41] - Erik Haula was added to Flyers.
[2022-08-30 20:44:04] - Jakob Ragnarsson has been deleted from Flyers.
[2022-08-30 20:44:00] - Lenni Killinen has been deleted from Flyers.
[2022-08-30 20:43:56] - Jordan Sambrook has been deleted from Flyers.
[2022-08-30 20:43:52] - Danil Yurtaykin has been deleted from Flyers.
[2022-08-30 20:43:47] - Luke Green has been deleted from Flyers.
[2022-08-30 20:43:44] - Reece Willcox has been deleted from Flyers.
[2022-08-30 20:43:40] - Valentin Zykov has been deleted from Flyers.
[2022-07-24 20:06:59] - Flyers drafts Ludwig Persson as the #104 overall pick in the Entry Draft of year 2022.
[2022-07-16 10:36:39] - Flyers drafts Paul Ludwinski as the #60 overall pick in the Entry Draft of year 2022.



[2022-10-13 20:54:57] Successfully loaded Flyers lines done with STHS Client - 3.3.3.3



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

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 (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