Connexion

Flyers
GP: 7 | W: 3 | L: 4
GF: 23 | GA: 29 | PP%: 9.52% | PK%: 66.67%
DG: Simon DeChamplain | Morale : 99 | Moyenne d’équipe : 76
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Centre de jeu
Flyers
3-4-0, 6pts
3
FINAL
2 Oilers
15-12-0, 30pts
Team Stats
L1StreakL2
1-3-0Home Record7-5-0
2-1-0Away Record8-7-0
3-3-1Last 10 Games6-3-1
3.29Goals Per Game3.48
4.14Goals Against Per Game3.15
9.52%Power Play Percentage21.05%
66.67%Penalty Kill Percentage78.79%
Oilers
15-12-0, 30pts
7
FINAL
3 Flyers
3-4-0, 6pts
Team Stats
L2StreakL1
7-5-0Home Record1-3-0
8-7-0Away Record2-1-0
6-3-1Last 10 Games3-3-1
3.48Goals Per Game3.29
3.15Goals Against Per Game4.14
21.05%Power Play Percentage9.52%
78.79%Penalty Kill Percentage66.67%
Meneurs d'équipe
Buts
J.T. Miller
4
Passes
J.T. Miller
5
Points
J.T. Miller
9
Plus/Moins
Brock Nelson
4
Victoires
Ilya Sorokin
2
Pourcentage d’arrêts
Ilya Sorokin
0.87

Statistiques d’équipe
Buts pour
23
3.29 GFG
Tirs pour
238
34.00 Avg
Pourcentage en avantage numérique
9.5%
2 GF
Début de zone offensive
38.8%
Buts contre
29
4.14 GAA
Tirs contre
218
31.14 Avg
Pourcentage en désavantage numérique
66.7%
11 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralSimon DeChamplain
EntraîneurPat Quinn
DivisionLalancette K
ConférencePrince de Galles
CapitaineJ.T. Miller
Assistant #1Jakub Voracek
Assistant #2Jeff Carter


Informations de l’aréna

NomWells Fargo Center
Capacité18,000
Assistance13,612
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure33
Limite contact 55 / 250
Espoirs0


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible69,366,929$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour5,821,058$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel9,366,929$
Compte bancaire projeté9,366,929$


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
1J.T. Miller (C)X100.0075398679828884808489837679655054707912313,200,000$
2Jakub Voracek (A)X100.0077328478838688868082816777706032697812725,500,000$
3Jeff Carter (A)X100.0075497477777576807779876877869821707813135,000,000$
4Jordan NolanX100.0088617778907690818282756881766834737812734,000,000$
5Drew MillerX100.0072297481738676817182767573878517697713223,250,000$
6Travis ZajacX100.0075428679808075817378816874847922707713144,000,000$
7Niclas BergforsX100.0075348381798476817073866386726725697612914,000,000$
8Marcus KrugerX100.0074398674797781818179835975656234697502633,500,000$
9Brock NelsonX100.0078358678757776817275776475625941697402521,500,000$
10Chris McallisterX100.0081427675737869785179717864776317527403132,000,000$
11Matthew LombardiX100.0073437874686773847568687773818014597303411,000,000$
12Tyler Randell (R)X100.0083668274826778757273755876726536537302511,000,000$
13Jacob TroubaX100.0082537978878275766179718366584656477812222,750,000$
14Jeff WoywitkaX100.0078428271767577816581598066937914697713312,500,000$
15Matt SmabyX100.0083477778767377806373767764857418707713223,000,000$
16Jonathan EricssonX100.0074448178837680805986637264897317697613223,000,000$
17Nathan BeaulieuX100.0077408379757882786984697570675446697612411,750,000$
18Brian LashoffX100.0081318377747677745775698267635132697502611,900,000$
Rayé
1Tomas KubalikX100.007032817776817777726975677062523620720262950,000$
2Dylan Olsen (R)X100.007934767177807671557672766467493526730251600,000$
Équipe Mineure
1Calle Jarnkrok (R)X100.006631757475797771817677667263573886720251995,000$
2Michael Bournival (R)X100.007739787778737474687078717765534174720241950,000$
3Travis Konecny (R)X100.006231748363766786686971628145446986700191500,000$
4Sven Andrighetto (R)X100.007734796578747068716478577148484886680233700,000$
5Alex DeBrincat (R)X100.007454847574667465717271577543417986680192500,000$
6Cristoval Nieves (R)X100.006626757464677270747668526745464683660222600,000$
7Morgan Klimchuk (R)X100.006432727268737367666966687345434965660213650,000$
8Lucas Wallmarkk (R)X100.007038716462716172717364636243435883650204600,000$
9David Kampf (R)X100.005742816268686669656571546543465886640211500,000$
10Brendan Leipsic (R)X100.005233686364636064757170526145464482620222500,000$
11Laurent Dauphin (R)X100.007037775967616768576861486543435082610213500,000$
12Nick Sorensen (R)X100.005633757166656662595272527146464986610223525,000$
13JC Lipon (R)X100.007256666569496762645460495448474280590232450,000$
14Anthony Angello (R)X100.004836786062736453646259565042425182580203450,000$
15Jake Dotchin (R)X100.007940787475736167537453755859464669710223800,000$
16Reid McNeill (R)X100.007547787480678173596758706662483956710241650,000$
17Ivan Provorov (R)X100.007147797373726567477165715549427684690191500,000$
18Mark Alt (R)X100.007032736868676855516758805354543163670251400,000$
19Blake Heinrich (R)X100.006734686870715955457066755146444882660213500,000$
20Brenden Kichton (R)X100.006530766866686666536060716154553582650241400,000$
21Devon Teows (R)X100.007248726764646068496252695147485178650224600,000$
22Rinat Valiev (R)X100.007134786865666471506257655945445682650213500,000$
23Mikko Lehtonen (R)X100.007041745750657175466975546148484986640222500,000$
24Nick Shore (R)X100.005426746969726773827573535852553978670242800,000$
25Erik Nystrom (R)X100.006823747074686769676170647348473878650232600,000$
26A.J. Greer (R)X100.005942596566597056575559494944435048570201500,000$
27Brett Murray (R)X100.007436616474536254435360524040407326560182500,000$
28Cooper Marody (R)X100.004234685950585858707154364644425526550201500,000$
29Matt Kiersted (R)X100.006345615762535151395340554640406726550182500,000$
30Riley Stillman (R)X100.006539615660545950325550534440407026550182500,000$
MOYENNE D’ÉQUIPE100.00713976717271717164716865655854436769
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 Mason100.008681768585827781837383716229688012824,000,000$
2Ilya Sorokin100.006189707477747481876959474563647402031,500,000$
Rayé
Équipe Mineure
1Anton Forsberg100.00737271787378747072747261554085720241500,000$
2Zachary Fucale100.00657555636771707276715644445073680213500,000$
3Jason Kasdorf100.00666578636370686864696652524125660241500,000$
MOYENNE D’ÉQUIPE100.0070767073737573747671675552456372
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pat Quinn82838773998837CAN6912,500,000$


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
1J.T. MillerFlyersLW745914012143971410.26%618226.060114181123270061.43%7073000.9900000110
2Brock NelsonFlyersLW744842075114736.36%28812.65000000000130050.00%232011.8100000100
3Jakub VoracekFlyersRW7448120993551111.43%014620.950110191013101057.14%1463001.0900000200
4Jordan NolanFlyersC735811206142911210.34%115822.591013180222220058.38%18545001.0100000010
5Jeff CarterFlyersC7415-21001071841522.22%313519.401012160000121040.00%10073000.7400000100
6Jacob TroubaFlyersD70443807115460.00%1420429.25000021000024000.00%0510000.3900000000
7Marcus KrugerFlyersRW722432061142614.29%48211.7300000000000066.67%320000.9700000001
8Drew MillerFlyersLW7033-300107198100.00%012618.030110160000300100.00%144000.4800000000
9Jeff WoywitkaFlyersD70333206156670.00%1118726.81011021000028000.00%018000.3200000001
10Travis ZajacFlyersC70333005614350.00%18612.2900000000000044.19%4332000.7000000000
11Brian LashoffFlyersD7022240553000.00%08512.210000000007000.00%015000.4700000001
12Matthew LombardiFlyersC72021201863133.33%1436.1600000000021050.00%1403000.9300000010
13Dylan OlsenFlyersD5011000131110.00%0224.600000000001000.00%000000.8700000000
14Matt SmabyFlyersD7011-2406912620.00%314120.20000014000017000.00%023000.1400000000
15Nathan BeaulieuFlyersD7011-240474250.00%714020.09000014000015000.00%005000.1400000000
16Tyler RandellFlyersRW7011120112060.00%2395.68000000000000100.00%220000.5000000000
17Chris McallisterFlyersLW2000040124110.00%12412.1800000000020066.67%302000.0000000000
18Jonathan EricssonFlyersD7000220320000.00%37711.070000000000000.00%003000.0000000000
19Niclas BergforsFlyersRW7000-32059169100.00%412117.42000116000000050.00%450000.0000000000
Statistiques d’équipe totales ou en moyenne12623406313660105135238661199.66%63209516.632461017923581893053.29%4415261010.6000000533
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
1Ilya SorokinFlyers62210.8704.20329002317791000.000052001
2Steve MasonFlyers21100.8543.67980064116000.000025000
Statistiques d’équipe totales ou en moyenne83310.8674.074280029218107000.000077001


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 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
Brian LashoffFlyersD261990-01-01No212 Lbs6 ft3NoNoNo1Pro Only1,900,000$1,900,000$0$No
Brock NelsonFlyersLW251991-01-01No206 Lbs6 ft3NoNoNo2Pro Only1,500,000$1,500,000$0$No1,500,000$
Chris McallisterFlyersLW311985-01-01No250 Lbs6 ft7NoNoNo3Pro Only2,000,000$2,000,000$0$No2,000,000$2,000,000$
Drew MillerFlyersLW321984-01-01No178 Lbs6 ft2NoNoNo2Pro Only3,250,000$3,250,000$0$No2,750,000$
Dylan OlsenFlyersD251991-01-01Yes223 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$0$No
Ilya SorokinFlyersG201996-01-01No180 Lbs6 ft2NoNoNo3Pro Only1,500,000$1,500,000$0$No1,750,000$2,250,000$
J.T. MillerFlyersLW231993-01-01No205 Lbs6 ft1NoNoNo1Pro Only3,200,000$3,200,000$0$No
Jacob TroubaFlyersD221994-01-01No187 Lbs6 ft2NoNoNo2Pro Only2,750,000$2,750,000$0$No3,000,000$
Jakub VoracekFlyersRW271989-01-01No205 Lbs6 ft1NoNoNo2Pro Only5,500,000$5,500,000$0$No6,000,000$
Jeff CarterFlyersC311985-01-01No200 Lbs6 ft3NoNoNo3Pro Only5,000,000$5,000,000$0$No5,000,000$5,000,000$
Jeff WoywitkaFlyersD331983-01-01No224 Lbs6 ft3NoNoNo1Pro Only2,500,000$2,500,000$0$No
Jonathan EricssonFlyersD321984-01-01No220 Lbs6 ft4NoNoNo2Pro Only3,000,000$3,000,000$0$No3,000,000$
Jordan NolanFlyersC271989-01-01No221 Lbs6 ft3NoNoNo3Pro Only4,000,000$4,000,000$0$No4,000,000$4,000,000$
Marcus KrugerFlyersRW261990-01-01No181 Lbs6 ft0NoNoNo3Pro Only3,500,000$3,500,000$0$No3,500,000$3,500,000$
Matt SmabyFlyersD321984-01-01No240 Lbs6 ft4NoNoNo2Pro Only3,000,000$3,000,000$0$No3,000,000$
Matthew LombardiFlyersC341982-01-01No195 Lbs5 ft11NoNoNo1Pro Only1,000,000$1,000,000$0$No
Nathan BeaulieuFlyersD241992-01-01No205 Lbs6 ft2NoNoNo1Pro Only1,750,000$1,750,000$0$No
Niclas BergforsFlyersRW291987-01-01No195 Lbs5 ft11NoNoNo1Pro Only4,000,000$4,000,000$0$No
Steve MasonFlyersG281988-01-01No211 Lbs6 ft4NoNoNo2Pro Only4,000,000$4,000,000$0$No4,000,000$
Tomas KubalikFlyersRW261990-01-01No212 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$No1,000,000$
Travis ZajacFlyersC311985-01-01No200 Lbs6 ft3NoNoNo4Pro Only4,000,000$4,000,000$0$No4,000,000$4,000,000$4,000,000$
Tyler RandellFlyersRW251991-01-01Yes198 Lbs6 ft1NoNoNo1Pro Only1,000,000$1,000,000$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.68207 Lbs6 ft21.952,722,727$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
59,900,000$44,500,000$20,750,000$4,000,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1J.T. MillerJordan NolanJakub Voracek40122
2Drew MillerJeff CarterNiclas Bergfors30122
3Chris McallisterTravis ZajacMarcus Kruger20122
4Brock NelsonMatthew LombardiTyler Randell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaJeff Woywitka40122
2Matt SmabyNathan Beaulieu30122
3Jonathan EricssonBrian Lashoff20122
4Jacob TroubaJeff Woywitka10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1J.T. MillerJordan NolanJakub Voracek60122
2Drew MillerJeff CarterNiclas Bergfors40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaJeff Woywitka60122
2Matt SmabyNathan Beaulieu40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1J.T. MillerJordan Nolan60122
2Jeff CarterJakub Voracek40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaJeff Woywitka60122
2Matt SmabyNathan Beaulieu40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1J.T. Miller60122Jacob TroubaJeff Woywitka60122
2Jordan Nolan40122Matt SmabyNathan Beaulieu40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1J.T. MillerJordan Nolan60122
2Jeff CarterJakub Voracek40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaJeff Woywitka60122
2Matt SmabyNathan Beaulieu40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
J.T. MillerJordan NolanJakub VoracekJacob TroubaJeff Woywitka
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
J.T. MillerJordan NolanJakub VoracekJacob TroubaJeff Woywitka
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Zajac, Marcus Kruger, Chris McallisterTravis Zajac, Marcus KrugerChris Mcallister
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Ericsson, Brian Lashoff, Matt SmabyJonathan EricssonBrian Lashoff, Matt Smaby
Tirs de pénalité
J.T. Miller, Jordan Nolan, Jeff Carter, Jakub Voracek, Drew Miller
Gardien
#1 : Steve Mason, #2 : Ilya Sorokin


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
1Oilers734000002329-6413000001119-8321000001210260.4292340630013460238867966721863661052129.52%331166.67%29717156.73%8216649.40%5610453.85%150861536512461
Total734000002329-6413000001119-8321000001210260.4292340630013460238867966721863661052129.52%331166.67%29717156.73%8216649.40%5610453.85%150861536512461
_Since Last GM Reset734000002329-6413000001119-8321000001210260.4292340630013460238867966721863661052129.52%331166.67%29717156.73%8216649.40%5610453.85%150861536512461
_Vs Conference734000002329-6413000001119-8321000001210260.4292340630013460238867966721863661052129.52%331166.67%29717156.73%8216649.40%5610453.85%150861536512461

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L1234063238218636610500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002329
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001119
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32100001210
Derniers 10 matchs
WLOTWOTL SOWSOL
330100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2129.52%331166.67%2
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
867966713460
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
9717156.73%8216649.40%5610453.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
150861536512461


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2021-11-304Oilers5Flyers1BLSommaire du match
2 - 2021-12-0112Oilers2Flyers3BWSommaire du match
3 - 2021-12-0220Flyers3Oilers4ALXSommaire du match
4 - 2021-12-0328Flyers6Oilers4AWSommaire du match
5 - 2021-12-0436Oilers5Flyers4BLSommaire du match
6 - 2021-12-0544Flyers3Oilers2AWSommaire du match
7 - 2021-12-0652Oilers7Flyers3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets125755040250
Assistance18,46216,6745,75410,3513,207
Attendance PCT76.93%83.37%71.93%64.69%80.18%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 13612 - 75.62% 1,455,265$5,821,058$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 59,900,000$ 52,150,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 28,732,027$ 22 0

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

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 9,366,929$ 9,366,929$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 69,366,929$ 69,366,929$ -35,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
J.T. MillerAGE:23PO:54OV:79
Drew MillerAGE:32PO:17OV:77
Brock NelsonAGE:25PO:41OV:74
Chris McallisterAGE:31PO:17OV:74
Michael Bournival (R)AGE:24PO:41OV:72
Alex DeBrincat (R)AGE:19PO:79OV:68
Morgan Klimchuk (R)AGE:21PO:49OV:66
Erik Nystrom (R)AGE:23PO:38OV:65
Brendan Leipsic (R)AGE:22PO:44OV:62
A.J. Greer (R)AGE:20PO:50OV:57
Brett Murray (R)AGE:18PO:73OV:56
Jordan NolanAGE:27PO:34OV:78
Jeff CarterAGE:31PO:21OV:78
Travis ZajacAGE:31PO:22OV:77
Matthew LombardiAGE:34PO:14OV:73
Calle Jarnkrok (R)AGE:25PO:38OV:72
Nick Shore (R)AGE:24PO:39OV:67
Cristoval Nieves (R)AGE:22PO:46OV:66
Lucas Wallmarkk (R)AGE:20PO:58OV:65
David Kampf (R)AGE:21PO:58OV:64
Laurent Dauphin (R)AGE:21PO:50OV:61
Anthony Angello (R)AGE:20PO:51OV:58
Cooper Marody (R)AGE:20PO:55OV:55
Jakub VoracekAGE:27PO:32OV:78
Niclas BergforsAGE:29PO:25OV:76
Marcus KrugerAGE:26PO:34OV:75
Tyler Randell (R)AGE:25PO:36OV:73
Tomas KubalikAGE:26PO:36OV:72
Travis Konecny (R)AGE:19PO:69OV:70
Sven Andrighetto (R)AGE:23PO:48OV:68
Nick Sorensen (R)AGE:22PO:49OV:61
JC Lipon (R)AGE:23PO:42OV:59

Défense #1Défense #2Gardien
Jacob TroubaAGE:22PO:56OV:78
Matt SmabyAGE:32PO:18OV:77
Jeff WoywitkaAGE:33PO:14OV:77
Nathan BeaulieuAGE:24PO:46OV:76
Jonathan EricssonAGE:32PO:17OV:76
Brian LashoffAGE:26PO:32OV:75
Dylan Olsen (R)AGE:25PO:35OV:73
Jake Dotchin (R)AGE:22PO:46OV:71
Reid McNeill (R)AGE:24PO:39OV:71
Ivan Provorov (R)AGE:19PO:76OV:69
Mark Alt (R)AGE:25PO:31OV:67
Blake Heinrich (R)AGE:21PO:48OV:66
Rinat Valiev (R)AGE:21PO:56OV:65
Devon Teows (R)AGE:22PO:51OV:65
Brenden Kichton (R)AGE:24PO:35OV:65
Mikko Lehtonen (R)AGE:22PO:49OV:64
Riley Stillman (R)AGE:18PO:70OV:55
Matt Kiersted (R)AGE:18PO:67OV:55
Steve MasonAGE:28PO:29OV:80
Ilya SorokinAGE:20PO:63OV:74
Anton ForsbergAGE:24PO:40OV:72
Zachary FucaleAGE:21PO:50OV:68
Jason KasdorfAGE:24PO:41OV:66

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

Choix au repêchage

Année R1R2R3R4R5
2
3
4
5
6






[2022-08-08 8:29:07 PM] - Phantomsare the Farm Playoffs Champions for year 1!
[2022-07-16 7:04:31 PM] - Flyers was eliminated at round 1 of year 1.
[2022-06-12 7:25:31 AM] - New Record for Team's Most Shots Blocked (19) in 1 Game for Flyers!
[2022-05-28 9:09:28 PM] - New Record for Team's Most Hits (30) in 1 Game for Flyers!
[2022-04-24 11:06:24 PM] - New Record for Team's Most Penalties Minutes (29) in 1 Game for Flyers!
[2022-03-18 8:13:45 PM] - New Record for Team's Most Shots (46) in 1 Game for Flyers!
[2022-03-02 9:13:44 PM] - New Record for Team's Most Shots Blocked (17) in 1 Game for Flyers!
[2022-02-08 7:00:29 PM] - Jeff Carter has been selected as assistant for Flyers.
[2022-02-08 7:00:28 PM] - Lukas Vejdemo is no longer as assistant for Flyers.
[2022-02-08 7:00:25 PM] - Jakub Voracek has been selected as assistant for Flyers.
[2022-02-08 7:00:24 PM] - Jack Ramsey is no longer as assistant for Flyers.
[2022-02-08 7:00:21 PM] - J.T. Miller has been selected as the team Captain for the Flyers.
[2022-02-08 7:00:19 PM] - Unknown Player is no longer captain for Flyers.
[2022-01-29 11:59:12 PM] - New Record for Team's Most Shots (45) in 1 Game for Flyers!
[2022-01-21 7:56:30 PM] - New Record for Team's Most Shots (41) in 1 Game for Flyers!
[2022-01-16 7:07:52 PM] - New Record for Team's Most Penalties Minutes (18) in 1 Game for Flyers!



[2022-08-08 8:29:07 PM] Phantoms are the Farm Playoffs Champions!
[2022-08-08 8:28:10 PM] Last 7 Days Farm Star : 1 - Michael Bournival of Phantoms (5-5-10) / 2 - Calle Jarnkrok of Phantoms (2-9-11) / 3 - Travis Konecny of Phantoms (5-4-9)
[2022-08-04 7:00:09 PM] Nick Shore from Phantoms is back from Torn Left Knee Ligaments Injury.
[2022-08-04 7:00:09 PM] Erik Nystrom from Phantoms is back from Right Ankle Injury.
[2022-08-04 7:00:06 PM] Auto Lines Function has been run for Phantoms.
[2022-08-03 9:35:52 PM] Game 101 - Erik Nystrom from Phantoms is injured (Right Ankle) and is out for 1 week.
[2022-08-03 9:35:48 PM] Auto Lines Function has been run for Phantoms.
[2022-08-02 8:38:34 PM] Game 100 - Nick Shore from Phantoms is injured (Torn Left Knee Ligaments) and is out for 1 week.
[2022-08-01 7:12:15 PM] Farm Game #99 - Travis Konecny from Phantoms has scored a Hat Trick!
[2022-08-01 9:16:36 AM] Auto Lines Function has been run for Phantoms.
[2022-08-01 9:16:36 AM] Auto Roster Farm Only Function has been run for Flyers.
[2022-07-30 10:32:06 PM] Zachary Fucale from Phantoms is back from Exhaustion.
[2022-07-30 10:32:05 PM] Zachary Fucale from Phantoms injured (Exhaustion)
[2022-07-27 9:56:02 PM] Auto Lines Function has been run for Phantoms.
[2022-07-27 9:56:02 PM] Auto Roster Farm Only Function has been run for Flyers.
[2022-07-26 9:34:47 PM] Anton Forsberg from Phantoms is back from Exhaustion.
[2022-07-26 9:34:46 PM] Anton Forsberg from Phantoms injured (Exhaustion)
[2022-07-24 9:11:21 PM] Mark Alt from Phantoms is back from Sprained Right Knee Injury.
[2022-07-23 7:42:48 PM] Blake Heinrich from Phantoms is back from Right Knee Injury.
[2022-07-23 7:42:48 PM] Last 7 Days Farm Star : 1 - Michael Bournival of Phantoms (6-9-15) / 2 - Travis Konecny of Phantoms (7-6-13) / 3 - Calle Jarnkrok of Phantoms (4-10-14)
[2022-07-21 8:52:47 PM] Auto Lines Function has been run for Phantoms.
[2022-07-20 10:51:33 PM] Game 70 - Blake Heinrich from Phantoms is injured (Right Knee) and is out for 1 week.
[2022-07-18 10:08:38 PM] Farm Game #62 - Michael Bournival from Phantoms has scored a Hat Trick!
[2022-07-16 7:04:31 PM] Last 7 Days Farm Star : 1 - Nick Ritchie of Marlies (6-8-14) / 2 - Travis Konecny of Phantoms (7-3-10) / 3 - Ondrej Kase of Monsters (6-3-9)
[2022-07-15 7:01:41 PM] Auto Lines Function has been run for Flyers.
[2022-07-15 7:01:41 PM] Auto Roster Partial Function has been run for Flyers.
[2022-07-14 7:17:34 PM] Ilya Sorokin from Flyers is back from Exhaustion.
[2022-07-14 7:17:32 PM] Ilya Sorokin from Flyers injured (Exhaustion)
[2022-07-13 9:02:40 PM] Farm Game #28 - Travis Konecny from Phantoms has scored a Hat Trick!
[2022-07-12 8:47:42 PM] Pro Game #20 - Brock Nelson from Flyers has scored a Hat Trick!
[2022-07-10 9:35:42 PM] Farm Game #4 - Cristoval Nieves from Phantoms has scored a Hat Trick!
[2022-06-29 8:42:18 PM] Chris Mcallister from Flyers is back from Bruised Right Shoulder Injury.
[2022-06-23 6:54:54 PM] -$945,000 was added to Flyers bank account.
[2022-06-22 8:41:03 PM] $5,000,000 was added to Flyers bank account.
[2022-06-22 8:40:49 PM] Current fund for Flyers is under $0.
[2022-06-22 8:34:36 PM] Current fund for Flyers is under $0.
[2022-06-21 9:05:39 PM] Farm Game #1010 - Calle Jarnkrok from Phantoms has scored a Hat Trick!
[2022-06-18 11:19:05 PM] Current fund for Flyers is under $0.
[2022-06-18 11:17:29 PM] Last 7 Days Farm Star : 1 - Alexandre Grenier of Wolves (3-7-10) / 2 - Lawson Crouse of Wolves (6-2-8) / 3 - Travis Konecny of Phantoms (4-4-8)
[2022-06-18 11:17:29 PM] Last 7 Days Pro Star : 1 - Eric Staal of Flames (3-4-7) / 2 - David Backes of Flames (3-3-6) / 3 - Niclas Bergfors of Flyers (4-1-5)
[2022-06-18 11:17:07 PM] Auto Lines Function has been run for Flyers.
[2022-06-18 11:17:07 PM] Auto Roster Partial Function has been run for Flyers.
[2022-06-16 7:05:18 PM] Farm Game #983 - Travis Konecny from Phantoms has scored a Hat Trick!
[2022-06-15 9:20:53 PM] Steve Mason from Flyers is back from Exhaustion.
[2022-06-13 7:02:43 PM] Steve Mason from Flyers injured (Exhaustion)
[2022-06-12 7:25:32 AM] Morgan Klimchuk from Phantoms is back from Groin Injury.
[2022-06-12 7:25:31 AM] New Record for Team's Most Shots Blocked (19) in 1 Game for Flyers!
[2022-06-12 7:25:23 AM] Auto Lines Function has been run for Flyers.
[2022-06-12 7:25:22 AM] Auto Roster Partial Function has been run for Flyers.
[2022-06-09 7:01:06 PM] Game 957 - Chris Mcallister from Flyers is injured (Bruised Right Shoulder) and is out for 3 weeks.



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