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Connexion

Flyers
GP: 80 | W: 38 | L: 36 | OTL: 6 | P: 82
GF: 259 | GA: 264 | PP%: 18.60% | PK%: 82.70%
DG: Simon DeChamplain | Morale : 35 | Moyenne d’équipe : 77
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Centre de jeu
Flyers
38-36-6, 82pts
4
FINAL
5 Devils
46-23-11, 103pts
Team Stats
W1SéquenceW1
22-16-2Fiche domicile22-11-7
16-20-4Fiche visiteur24-12-4
3-6-1Derniers 10 matchs10-0-0
3.24Buts par match 3.80
3.30Buts contre par match 3.28
18.60%Pourcentage en avantage numérique18.45%
82.70%Pourcentage en désavantage numérique78.20%
Flames
46-28-6, 98pts
2
FINAL
4 Flyers
38-36-6, 82pts
Team Stats
L2SéquenceW1
23-14-3Fiche domicile22-16-2
23-14-3Fiche visiteur16-20-4
6-2-2Derniers 10 matchs3-6-1
3.41Buts par match 3.24
3.14Buts contre par match 3.30
18.34%Pourcentage en avantage numérique18.60%
83.57%Pourcentage en désavantage numérique82.70%
Meneurs d'équipe
Buts
Nick Ritchie
34
Passes
Jordan Nolan
56
Points
Jordan Nolan
87
Plus/Moins
Ivan Provorov
15
Victoires
Steve Mason
22
Pourcentage d’arrêts
Ilya Sorokin
0.905

Statistiques d’équipe
Buts pour
259
3.24 GFG
Tirs pour
2582
32.28 Avg
Pourcentage en avantage numérique
18.6%
61 GF
Début de zone offensive
38.4%
Buts contre
264
3.30 GAA
Tirs contre
2412
30.15 Avg
Pourcentage en désavantage numérique
82.7%%
59 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralSimon DeChamplain
EntraîneurPeter Laviolette
DivisionLalancette K
ConférencePrince de Galles
Capitaine
Assistant #1Jakub Voracek
Assistant #2Jeff Carter


Informations de l’aréna

NomWells Fargo Center
Capacité18,000
Assistance17,356
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure31
Limite contact 51 / 250
Espoirs0


Plafond salarial Non Activé

Cap Salarial de la Saison estimé56,173,786$
Plafond salarial disponible15,333,321$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour56,757,332$
Dépenses annuelles à ce jour59,090,405$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel5,507,107$
Compte bancaire projeté5,493,326$


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
1Jordan NolanX100.0084628182877890838285756979857428558012914,000,000$
2Jakub Voracek (A)X100.0079328381858484887979796775796926557812944,000,000$
3Nick RitchieX100.0081408083867288837281837368645554557802244,000,000$
4Jeff Carter (A)X100.0079497678817576788173826775899917557713315,000,000$
5Kasperi KapanenX100.0082458480788078837978846877574955447702233,000,000$
6Max PaciorettyX100.0075347876848084797380837476816923457713034,000,000$
7Niclas BergforsX100.0077348280788575806875846086777121557613133,000,000$
8Calle JarnkrokX100.0070317575758381748476797275757031557502731,200,000$
9Michael BournivalX100.0080397777757776777372807378796434557502611,000,000$
10Travis KonecnyX100.0070317986727973887374786884595958557502132,500,000$
11Travis ZajacX100.0077428380748177797573766773868218557513324,000,000$
12Brock NelsonX100.0080358777777778807474766276666334557402731,200,000$
13Jacob TroubaX100.0085538182898579816683768372744847268112445,500,000$
14Brian LashoffX100.0084318176787976765977728670715726457802811,500,000$
15Nathan BeaulieuX100.0077408483797979817384718074785838557812623,750,000$
16Ivan ProvorovX100.0076478378787670765678737664644662497502131,500,000$
17Jake DotchinX100.008040807778766674587759786373513946740241800,000$
18Cal Foote (R)X100.008147707081845664417058745645437330700201500,000$
Rayé
Équipe Mineure
1Sven AndrighettoX100.008135827280767369766677627463534020710251700,000$
2Joe Snively (R)X100.006833828666776777737373538347486055700221500,000$
3Cristoval Nieves (R)X100.007226787768737775758069577250523962700242900,000$
4Lucas Wallmarkk (R)X100.007438757168757076747870686847454866700222800,000$
5Morgan Klimchuk (R)X100.007032747472777571667473737852464166700231650,000$
6David Kampf (R)X100.006143846572726974687076596846494666680233750,000$
7Erik NystromX100.007323776776737272656174677652503253680251800,000$
8Rem Pitlick (R)X100.006429718268766582736865627645466062680212900,000$
9Nick Sorensen (R)X100.006233797373706967655974557549514166660241525,000$
10A.J. Greer (R)X100.006243646968647362626263565547464159610223300,000$
11Brett Murray (R)X100.007741647078556661465764554442425754600204500,000$
12Oliver Wahlstrom (R)X100.005937754673696564666271416540408459600182500,000$
13Blake Heinrich (R)X100.007335737476776562527571785861474054710231500,000$
14Rinat Valiev (R)X100.007334817469696574576762726453484745690231500,000$
15Mikko Lehtonen (R)X100.007141776454687274536971616250524148660242750,000$
16Riley Stillman (R)X100.006842636262576353375953584642425666590204500,000$
17Ty Smith (R)X100.004826676553496073327148544440407566560182500,000$
18Victor Berglund (R)X100.006229675962544945315431683041416338560191500,000$
19Laurent Dauphin (R)X100.007442806470657171637466526845453835650231500,000$
20Anthony Angello (R)X100.005139816665756757676664595644444035620221450,000$
21Cooper Marody (R)X100.004537716453606263747459415046444331590223300,000$
22Josiah Slavin (R)X100.005837735263715962686170385145455753590202500,000$
23Benoit-Olivier Groulx (R)X100.005942745765566258625860525740406531570182500,000$
24Fabian Zetterlund (R)X100.004736715665655855564869436141416135560191500,000$
25David Gustafsson (R)X100.005234705947535655716553415040407125540182500,000$
26Matt Kiersted (R)X80.206646656667585758465847625343435446600204500,000$
MOYENNE D’ÉQUIPE99.55703876727272707165706963665752465069
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
1Steve Mason100.008782748686777782847380777224548013034,000,000$
2Ilya Sorokin100.007291787881787883907564555053567902212,250,000$
Rayé
Équipe Mineure
1Anton Forsberg100.00757574777079767373767573733467740261975,000$
2Zachary Fucale100.00697862697175747679756150484255720231500,000$
3Kevin Lankinen100.00686766686671627167645642426019650233900,000$
4Zachary Sawchenko100.00635469555265674747737545475420580211500,000$
5Jacob Ingham (R)100.00694357606950425657505940406120550182500,000$
MOYENNE D’ÉQUIPE100.0072706970717168707169675553474269
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette83888277698658USA5032,500,000$


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
1Jordan NolanFlyersC80315687-247401241622886513710.76%49179722.4710203051287224142765152.14%26815135110.9737000365
2Jakub VoracekFlyersRW80335285-284401197628010418211.79%48169821.231215275528911281854249.02%1535637101.0037000535
3Nick RitchieFlyersLW80343872-285401381102897618111.76%46172921.62916255128511272245445.33%1505533100.8348000351
4Kasperi KapanenFlyersRW78244165-9200110742167411011.11%28133017.0681321272620001102147.37%765321100.9833000353
5Max PaciorettyFlyersLW80223052844098791754410212.57%27125115.6531114152330002161143.75%484217000.8311000322
6Jeff CarterFlyersC802228508720124125148468614.86%12138017.2686142223201131254050.77%9751527000.7202000543
7Nathan BeaulieuFlyersD8093342-1640010015813248506.82%116221727.7171118343180444301100%04258000.3800000230
8Niclas BergforsFlyersRW802019391310078371745311211.49%2590311.29000120000006248.89%452315000.8600000614
9Calle JarnkrokFlyersC8010203012460648112735827.87%3095611.950003160000530050.90%5012513000.6300000031
10Jacob TroubaFlyersD6752328-771510112511148484.50%86185527.69088202730111236000%03863100.3000010100
11Michael BournivalFlyersLW80151126142407554116387412.93%1585410.6800000000011256.67%301916000.6100000220
12Brian LashoffFlyersD801212253601011168732351.15%108172821.60134132260000234000%01855000.2500000100
13Travis KonecnyFlyersRW80101020-4120432591426310.99%96087.6000016000001138.46%13248000.6600000102
14Travis ZajacFlyersC8091120-260515687386210.34%127549.440000030361302053.16%301127000.5300000221
15Brock NelsonFlyersLW8071017-56059398327558.43%127239.05000030112990155.56%91714000.4700000002
16Ivan ProvorovFlyersD74215171530065896031233.33%67144519.54235101770110185100%01836000.2400000010
17Jake DotchinFlyersD7931215-1030058715615185.36%52114214.46213372000071100%0838000.2600000000
18Blake HeinrichPhantoms (Phi)D7921113352047714618174.35%58100112.6800006000069000%0622000.2600000100
19Cal FooteFlyersD20022-3220172610600%1324012.0200001000014000%003000.1700000000
20Rinat ValievPhantoms (Phi)D1000000300000%11212.280000000001000%00100000000000
Statistiques d’équipe totales ou en moyenne1438259443702-586935157515742576840143710.05%8142363216.4362107169306271371219482237341551.32%4982522519510.591428010383729
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
1Steve MasonFlyers58223150.8893.423401201941743828130.632195723042
2Ilya SorokinFlyers2616510.9052.6514282163665311010.33332357131
Statistiques d’équipe totales ou en moyenne84383660.8933.194829412572408113914228080173


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Brian LashoffFlyersD281990-01-01No212 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only1,500,000$1,500,000$0$No------------------
Brock NelsonFlyersLW271991-01-01No206 Lbs6 ft3NoNoN/ANoYes3FalseFalsePro Only1,200,000$1,200,000$0$No1,500,000$1,800,000$-------NoNo-------
Cal FooteFlyersD201998-01-01Yes227 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$No------------------
Calle JarnkrokFlyersC271991-01-01No156 Lbs5 ft11NoNoN/ANoYes3FalseFalsePro Only1,200,000$1,200,000$0$No1,500,000$1,800,000$-------NoNo-------
Ilya SorokinFlyersG221996-01-01No180 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro Only2,250,000$2,250,000$0$No------------------
Ivan ProvorovFlyersD211997-01-01No201 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,500,000$1,500,000$0$No3,000,000$4,500,000$-------NoNo-------
Jacob TroubaFlyersD241994-01-01No187 Lbs6 ft2NoNoN/ANoYes4FalseFalsePro Only5,500,000$5,500,000$0$No5,500,000$5,500,000$5,500,000$------NoNoNo------
Jake DotchinFlyersD241994-01-01No207 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm800,000$800,000$0$No------------------
Jakub VoracekFlyersRW291989-01-01No205 Lbs6 ft1NoNoN/ANoYes4FalseFalsePro Only4,000,000$4,000,000$0$No3,500,000$3,000,000$2,500,000$------NoNoNo------
Jeff CarterFlyersC331985-01-01No200 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only5,000,000$5,000,000$0$No------------------
Jordan NolanFlyersC291989-01-01No221 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro Only4,000,000$4,000,000$0$No------------------
Kasperi KapanenFlyersRW221996-01-01No192 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro Only3,000,000$3,000,000$0$No4,200,000$5,400,000$-------NoNo-------
Max PaciorettyFlyersLW301988-01-01No203 Lbs6 ft1NoNoN/ANoYes3FalseFalsePro Only4,000,000$4,000,000$0$No3,000,000$2,000,000$-------NoNo-------
Michael BournivalFlyersLW261992-01-01No195 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro Only1,000,000$1,000,000$0$No------------------
Nathan BeaulieuFlyersD261992-01-01No205 Lbs6 ft2NoNoN/ANoYes2FalseFalsePro Only3,750,000$3,750,000$0$No4,000,000$--------No--------
Nick RitchieFlyersLW221996-01-01No180 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro Only4,000,000$4,000,000$0$No5,000,000$5,500,000$6,000,000$------NoNoNo------
Niclas BergforsFlyersRW311987-01-01No195 Lbs5 ft11NoNoN/ANoYes3FalseFalsePro Only3,000,000$3,000,000$0$No2,500,000$2,000,000$-------NoNo-------
Steve MasonFlyersG301988-01-01No211 Lbs6 ft4NoNoN/ANoYes3FalseFalsePro Only4,000,000$4,000,000$0$No3,000,000$2,000,000$-------NoNo-------
Travis KonecnyFlyersRW211997-01-01No175 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro Only2,500,000$2,500,000$0$No3,750,000$4,250,000$-------NoNo-------
Travis ZajacFlyersC331985-01-01No200 Lbs6 ft3NoNoN/ANoYes2FalseFalsePro Only4,000,000$4,000,000$0$No4,000,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2026.25198 Lbs6 ft22.352,835,000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
56,700,000$44,450,000$37,750,000$14,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick RitchieJordan NolanJakub Voracek40023
2Max PaciorettyJeff CarterKasperi Kapanen30023
3Michael BournivalCalle JarnkrokNiclas Bergfors20122
4Brock NelsonTravis ZajacTravis Konecny10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaBrian Lashoff40122
2Nathan BeaulieuIvan Provorov30122
3Jake DotchinCal Foote20122
4Jacob TroubaBrian Lashoff10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick RitchieJordan NolanJakub Voracek60023
2Max PaciorettyJeff CarterKasperi Kapanen40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaBrian Lashoff60122
2Nathan BeaulieuIvan Provorov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jordan NolanNick Ritchie60131
2Jakub VoracekKasperi Kapanen40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaBrian Lashoff60140
2Nathan BeaulieuIvan Provorov40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jordan Nolan60041Jacob TroubaBrian Lashoff60140
2Nick Ritchie40041Nathan BeaulieuIvan Provorov40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jordan NolanNick Ritchie60122
2Jakub VoracekKasperi Kapanen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaBrian Lashoff60122
2Nathan BeaulieuIvan Provorov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick RitchieJordan NolanJakub VoracekJacob TroubaBrian Lashoff
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick RitchieJordan NolanJakub VoracekJacob TroubaBrian Lashoff
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Niclas Bergfors, Travis Konecny, Michael BournivalNiclas Bergfors, Travis KonecnyMichael Bournival
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Dotchin, Cal Foote, Nathan BeaulieuJake DotchinCal Foote, Nathan Beaulieu
Tirs de pénalité
Jordan Nolan, Nick Ritchie, Jakub Voracek, Kasperi Kapanen, Jeff Carter
Gardien
#1 : Ilya Sorokin, #2 : Steve Mason
Lignes d’attaque personnalisées en prolongation
Jordan Nolan, Nick Ritchie, Jakub Voracek, Kasperi Kapanen, Jeff Carter, Max Pacioretty, Max Pacioretty, Niclas Bergfors, Travis Konecny, Michael Bournival, Calle Jarnkrok
Lignes de défense personnalisées en prolongation
Jacob Trouba, Brian Lashoff, Nathan Beaulieu, Ivan Provorov, Jake Dotchin


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
1Avalanche20001010752100010002111000001054141.0007121900032269142430453226528112.50%30100.00%0974188951.56%959184052.12%607118651.18%432543193819
2Blackhawks3210000015962200000012571010000034-140.6671523380054608929352508724226413430.77%110100.00%0974188951.56%959184052.12%607118651.18%633664285225
3Blues20100100710-31000010023-11010000057-210.25071219102320672527150672228386350.00%14378.57%0974188951.56%959184052.12%607118651.18%452741183416
4Bruins22000000954110000005321100000042241.00091726001710771341230461324341119.09%12191.67%0974188951.56%959184052.12%607118651.18%452640183316
5Canadiens41300000715-81010000015-431200000610-420.2507121900232011741383801293644749222.22%22577.27%0974188951.56%959184052.12%607118651.18%855188356531
6Canucks20100010550100000102111010000034-120.50057120011236219192434518203012216.67%10190.00%0974188951.56%959184052.12%607118651.18%432442203818
7Capitals3110010059-42110000047-31000010012-130.5005914002210883036220672820551317.69%10280.00%0974188951.56%959184052.12%607118651.18%653761275327
8Devils30200001915-61010000026-42010000179-210.167917260003621042940327913028537114.29%14285.71%0974188951.56%959184052.12%607118651.18%613470295224
9Flames622001011516-1311000019903110010067-160.5001526411074401705252627176855612422313.64%28292.86%1974188951.56%959184052.12%607118651.18%121661345910953
10Golden Knights31200000880110000005232020000036-320.333814221025109825482508825326212325.00%16568.75%1974188951.56%959184052.12%607118651.18%623766285024
11Islanders3020001079-21010000024-22010001055020.3337111800411310736343461013314411417.14%7185.71%0974188951.56%959184052.12%607118651.18%684166275025
12Jets31200000712-52020000029-71100000053220.333712190041209239223109330186713215.38%9277.78%0974188951.56%959184052.12%607118651.18%613466275125
13Kings642000002519633000000161063120000099080.6672545700079901997469560189525012427311.11%25484.00%1974188951.56%959184052.12%607118651.18%133761205410653
14Lightning220000001147110000005141100000063341.000112132003260722317320702218426233.33%9188.89%2974188951.56%959184052.12%607118651.18%442642163216
15Maple Leafs7230001126260321000001192402000111517-270.5002645710098822267987599211826413445511.11%32681.25%0974188951.56%959184052.12%607118651.18%154871506512463
16Oilers31200000880211000006511010000023-120.3338152300332010733373708832305515426.67%15473.33%0974188951.56%959184052.12%607118651.18%684063274825
17Panthers2110000089-11010000035-21100000054120.50081321002330521719160742126448225.00%13561.54%1974188951.56%959184052.12%607118651.18%432543173316
18Penguins32100000111012110000089-11100000031240.6671117280055101003432340973226527228.57%13192.31%0974188951.56%959184052.12%607118651.18%643765275023
19Predators312000001014-41010000024-221100000810-220.33310162610433011433443709126226311218.18%11372.73%0974188951.56%959184052.12%607118651.18%654065254925
20Rangers21100000550110000004221010000013-220.500571200113055181324060171447700.00%7185.71%0974188951.56%959184052.12%607118651.18%442541173317
21Red Wings422000001717021100000910-12110000087140.500172744006740136464248013442306317529.41%15286.67%0974188951.56%959184052.12%607118651.18%855089356431
22Sabres32100000963211000004401100000052340.66791625004140993536280983522657114.29%11372.73%0974188951.56%959184052.12%607118651.18%643765265025
23Senateurs4220000012120211000004312110000089-140.500122133011920130355639011833329212541.67%16287.50%1974188951.56%959184052.12%607118651.18%854983377132
24Sharks320010001046220000008351000100021161.0001016260013519225293717237225917423.53%11190.91%0974188951.56%959184052.12%607118651.18%683961275127
25Stars20200000612-61010000047-31010000025-300.00061117003120602517180671719309222.22%7271.43%0974188951.56%959184052.12%607118651.18%452639163418
Total80323602343259264-540201601111132127540122001232127137-10820.5132594427014179928213258282991482637241281468715643286118.60%3415982.70%7974188951.56%959184052.12%607118651.18%1735100917207371383684
_Since Last GM Reset80323602343259264-540201601111132127540122001232127137-10820.5132594427014179928213258282991482637241281468715643286118.60%3415982.70%7974188951.56%959184052.12%607118651.18%1735100917207371383684
_Vs Conference492222011121611583251410000018476824812011117782-5510.52016127443521535551315715215474971714865144129842084019.23%2063483.50%3974188951.56%959184052.12%607118651.18%10566121054451846419
_Vs Division1987001126661596200001362881025001113033-3210.5536611618210232121259520520817716576219170382941111.70%851285.88%2974188951.56%959184052.12%607118651.18%409231406178339170

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8082W125944270125822412814687156441
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8032362343259264
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4020161111132127
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4012201232127137
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3286118.60%3415982.70%7
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
8299148263779928213
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
974188951.56%959184052.12%607118651.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1735100917207371383684


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
412Kings3Flyers6WR1Sommaire du match
727Flyers4Maple Leafs5LXXSommaire du match
935Maple Leafs3Flyers6WSommaire du match
1145Flyers3Kings1WR1Sommaire du match
1361Flames3Flyers2LSommaire du match
1466Flyers1Canadiens4LSommaire du match
1884Senateurs3Flyers1LSommaire du match
2097Flyers3Maple Leafs4LSommaire du match
23112Blackhawks1Flyers5WSommaire du match
25126Flyers1Flames3LSommaire du match
27137Flyers4Kings5LR1Sommaire du match
29147Sharks2Flyers5WSommaire du match
31155Flyers4Predators3WSommaire du match
33165Flyers1Islanders2LSommaire du match
35177Flyers1Golden Knights3LSommaire du match
36181Red Wings5Flyers7WSommaire du match
39197Flyers2Canadiens4LSommaire du match
42208Oilers2Flyers1LSommaire du match
45224Flyers1Capitals2LXSommaire du match
46233Canadiens5Flyers1LSommaire du match
49248Flyers4Predators7LSommaire du match
50257Bruins3Flyers5WSommaire du match
53275Flyers3Blackhawks4LSommaire du match
55285Stars7Flyers4LSommaire du match
58304Red Wings5Flyers2LSommaire du match
63329Flyers1Rangers3LSommaire du match
64336Lightning1Flyers5WSommaire du match
68353Blues3Flyers2LXSommaire du match
72374Blackhawks4Flyers7WSommaire du match
74384Flyers6Lightning3WSommaire du match
77399Rangers2Flyers4WSommaire du match
80418Flyers2Kings3LR1Sommaire du match
82426Panthers5Flyers3LSommaire du match
87447Penguins4Flyers2LSommaire du match
89465Flyers2Oilers3LSommaire du match
91474Penguins5Flyers6WSommaire du match
93485Flyers6Red Wings4WSommaire du match
95496Flyers5Blues7LSommaire du match
98506Canucks1Flyers2WXXSommaire du match
100520Flyers4Senateurs3WSommaire du match
102526Flyers3Canucks4LSommaire du match
103535Oilers3Flyers5WSommaire du match
106552Flyers2Sharks1WXSommaire du match
108561Senateurs0Flyers3WSommaire du match
110570Flyers5Panthers4WSommaire du match
112584Flyers5Sabres2WSommaire du match
113591Avalanche1Flyers2WXSommaire du match
116607Flyers3Canadiens2WSommaire du match
118616Golden Knights2Flyers5WSommaire du match
120630Flyers5Jets3WSommaire du match
122640Maple Leafs2Flyers3WSommaire du match
123652Flyers1Flames2LXSommaire du match
127667Maple Leafs4Flyers2LSommaire du match
129676Flyers4Senateurs6LSommaire du match
131690Flyers4Bruins2WSommaire du match
132697Kings3Flyers4WR1Sommaire du match
135711Flyers4Islanders3WXXSommaire du match
136722Sharks1Flyers3WSommaire du match
141742Flyers2Golden Knights3LSommaire du match
143750Flyers2Maple Leafs3LSommaire du match
144757Devils6Flyers2LSommaire du match
147775Flyers6Maple Leafs5WXXSommaire du match
148781Capitals1Flyers3WSommaire du match
151801Flames4Flyers3LXXSommaire du match
153809Flyers4Flames2WSommaire du match
156827Capitals6Flyers1LSommaire du match
158842Flyers2Red Wings3LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161855Kings4Flyers6WR1Sommaire du match
164869Flyers2Stars5LSommaire du match
165878Flyers5Avalanche4WXXSommaire du match
166883Sabres2Flyers1LSommaire du match
170906Sabres2Flyers3WSommaire du match
173921Flyers3Penguins1WSommaire du match
175932Jets4Flyers1LSommaire du match
179957Islanders4Flyers2LSommaire du match
184979Predators4Flyers2LSommaire du match
185986Flyers3Devils4LSommaire du match
1891006Jets5Flyers1LSommaire du match
1901010Flyers4Devils5LXXSommaire du match
1961038Flames2Flyers4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance237,086190,81876,432151,20038,707
Attendance PCT98.79%95.41%95.54%94.50%96.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 17356 - 96.42% 1,418,933$56,757,332$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
59,090,405$ 56,700,000$ 49,700,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
286,364$ 56,173,786$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 298,990$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
13,781$ 5,507,107$ 5,493,326$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
56,173,786$ 15,333,321$ 71,507,107$ 21,173,786$



Charte de profondeur

Ailier gaucheCentreAilier droit
Nick RitchieAGE:22PO:54OV:78
Max PaciorettyAGE:30PO:23OV:77
Michael BournivalAGE:26PO:34OV:75
Brock NelsonAGE:27PO:34OV:74
Morgan Klimchuk (R)AGE:23PO:41OV:70
Erik NystromAGE:25PO:32OV:68
A.J. Greer (R)AGE:22PO:41OV:61
Brett Murray (R)AGE:20PO:57OV:60
Josiah Slavin (R)AGE:20PO:57OV:59
Fabian Zetterlund (R)AGE:19PO:61OV:56
David Gustafsson (R)AGE:18PO:71OV:54
Jordan NolanAGE:29PO:28OV:80
Jeff CarterAGE:33PO:17OV:77
Calle JarnkrokAGE:27PO:31OV:75
Travis ZajacAGE:33PO:18OV:75
Joe Snively (R)AGE:22PO:60OV:70
Lucas Wallmarkk (R)AGE:22PO:48OV:70
Cristoval Nieves (R)AGE:24PO:39OV:70
David Kampf (R)AGE:23PO:46OV:68
Laurent Dauphin (R)AGE:23PO:38OV:65
Anthony Angello (R)AGE:22PO:40OV:62
Cooper Marody (R)AGE:22PO:43OV:59
Benoit-Olivier Groulx (R)AGE:18PO:65OV:57
Jakub VoracekAGE:29PO:26OV:78
Kasperi KapanenAGE:22PO:55OV:77
Niclas BergforsAGE:31PO:21OV:76
Travis KonecnyAGE:21PO:58OV:75
Sven AndrighettoAGE:25PO:40OV:71
Rem Pitlick (R)AGE:21PO:60OV:68
Nick Sorensen (R)AGE:24PO:41OV:66
Oliver Wahlstrom (R)AGE:18PO:84OV:60

Défense #1Défense #2Gardien
Jacob TroubaAGE:24PO:47OV:81
Nathan BeaulieuAGE:26PO:38OV:78
Brian LashoffAGE:28PO:26OV:78
Ivan ProvorovAGE:21PO:62OV:75
Jake DotchinAGE:24PO:39OV:74
Blake Heinrich (R)AGE:23PO:40OV:71
Cal Foote (R)AGE:20PO:73OV:70
Rinat Valiev (R)AGE:23PO:47OV:69
Mikko Lehtonen (R)AGE:24PO:41OV:66
Matt Kiersted (R)AGE:20PO:54OV:60
Riley Stillman (R)AGE:20PO:56OV:59
Ty Smith (R)AGE:18PO:75OV:56
Victor Berglund (R)AGE:19PO:63OV:56
Steve MasonAGE:30PO:24OV:80
Ilya SorokinAGE:22PO:53OV:79
Anton ForsbergAGE:26PO:34OV:74
Zachary FucaleAGE:23PO:42OV:72
Kevin LankinenAGE:23PO:60OV:65
Zachary SawchenkoAGE:21PO:54OV:58
Jacob Ingham (R)AGE:18PO:61OV:55

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

Choix au repêchage

Année R1R2R3R4R5
4
5
6
7
8
Choix au repêchage conditionnel



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


Flyers Historique de transactions

[2024-03-21 7:35:57 PM] - New Record for Team's Most Shots Blocked (21) in 1 Game for Flyers!
[2024-01-03 9:40:52 PM] - TRADE : From Flyers to Kings : Mikko Rantanen (77).
[2024-01-03 9:40:52 PM] - TRADE : From Kings to Flyers : Kasperi Kapanen (77).
[2023-09-22 7:03:31 PM] - Rem Pitlick signed with Flyers for $900,000 for 2 year(s).
[2023-09-22 7:03:31 PM] - Rem Pitlick was added to Flyers.



[2024-05-06 8:44:10 PM] Successfully loaded Flyers lines done with STHS Client - 3.3.9.9
[2024-05-06 8:44:09 PM] Blake Heinrich of Flyers was sent down to farm.
[2024-05-02 9:50:51 PM] Auto Lines Function has been run for Phantoms.
[2024-05-02 9:50:50 PM] Auto Roster Farm Only Function has been run for Flyers.
[2024-04-30 7:52:23 PM] Brian Lashoff from Flyers is back from Sore Left Knee Injury.
[2024-04-30 7:52:22 PM] Game 1006 - Brian Lashoff from Flyers is injured (Sore Left Knee) and is out for 4 days.
[2024-04-23 8:01:37 PM] Game 986 - Matt Kiersted from Phantoms is injured (Fractured Orbital Bone) and is out for 2 months.
[2024-04-19 8:00:45 PM] Mikko Lehtonen from Phantoms is back from Sprained Left Knee Injury.
[2024-04-19 8:00:42 PM] Game 957 - Mikko Lehtonen from Phantoms is injured (Sprained Left Knee) and is out for 3 days.
[2024-04-05 7:49:07 PM] Rinat Valiev from Phantoms is back from Sprained Right Finger Injury.
[2024-04-05 7:49:07 PM] Cal Foote from Flyers is back from Left Wrist Injury.
[2024-04-05 7:49:06 PM] Sven Andrighetto from Phantoms completes suspension
[2024-04-05 7:49:00 PM] Auto Lines Function has been run for Phantoms.
[2024-04-05 7:49:00 PM] Auto Roster Farm Only Function has been run for Flyers.
[2024-04-02 9:50:03 PM] Sven Andrighetto from Flyers suspended for 1 game(s)
[2024-03-31 9:45:49 PM] Game 858 - Rinat Valiev from Phantoms is injured (Sprained Right Finger) and is out for 1 week.
[2024-03-29 8:01:47 PM] Mikko Lehtonen from Phantoms is back from Right Foot Injury.
[2024-03-27 10:25:43 PM] Auto Lines Function has been run for Phantoms.
[2024-03-27 10:25:43 PM] Auto Lines Function has been run for Flyers.
[2024-03-27 10:25:43 PM] Auto Roster Function has been run for Flyers.
[2024-03-27 10:25:43 PM] Rinat Valiev of Flyers was sent to farm.
[2024-03-27 10:25:43 PM] Auto Roster Partial Function has been run for Flyers.
[2024-03-25 7:04:38 PM] Jake Dotchin from Flyers is back from Bruised Left Leg Injury.
[2024-03-25 7:04:38 PM] Game 832 - Mikko Lehtonen from Phantoms is injured (Right Foot) and is out for 1 week.
[2024-03-23 10:09:55 PM] Auto Lines Function has been run for Phantoms.
[2024-03-23 10:09:55 PM] Auto Lines Function has been run for Flyers.
[2024-03-23 10:09:55 PM] Auto Roster Partial Function has been run for Flyers.
[2024-03-23 10:09:55 PM] Rinat Valiev of Flyers was sent to pro.



Matt Kiersted est dehors pour 2 semaines à cause de Fractured Orbital Bone 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