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Connexion

Flyers
GP: 80 | W: 36 | L: 34 | OTL: 10 | P: 82
GF: 255 | GA: 263 | PP%: 16.12% | PK%: 82.06%
DG: Simon DeChamplain | Morale : 29 | Moyenne d’équipe : 76
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Centre de jeu
Sharks
40-32-8, 88pts
4
FINAL
6 Flyers
36-34-10, 82pts
Team Stats
L1StreakSOL1
21-15-4Home Record20-18-2
19-17-4Away Record16-16-8
6-4-0Last 10 Games6-3-1
3.56Buts par match 3.19
3.43Buts contre par match 3.29
17.26%Pourcentage en avantage numérique16.12%
77.81%Pourcentage en désavantage numérique82.06%
Flyers
36-34-10, 82pts
3
FINAL
4 Blackhawks
38-38-4, 80pts
Team Stats
SOL1StreakSOW1
20-18-2Home Record19-21-0
16-16-8Away Record19-17-4
6-3-1Last 10 Games5-5-0
3.19Buts par match 3.30
3.29Buts contre par match 3.55
16.12%Pourcentage en avantage numérique16.46%
82.06%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Max Pacioretty
32
Passes
Jordan Nolan
51
Points
Jordan Nolan
78
Plus/Moins
Travis Zajac
25
Victoires
Steve Mason
25
Pourcentage d’arrêts
Steve Mason
0.903

Statistiques d’équipe
Buts pour
255
3.19 GFG
Tirs pour
2510
31.38 Avg
Pourcentage en avantage numérique
16.1%
54 GF
Début de zone offensive
38.5%
Buts contre
263
3.29 GAA
Tirs contre
2457
30.71 Avg
Pourcentage en désavantage numérique
82.1%%
54 GA
Début de la zone défensive
36.7%
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
Assistance16,898
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure34
Limite contact 56 / 250
Espoirs0


Plafond salarial

Cap Salarial de la Saison estimé61,504,345$
Plafond salarial disponible4,592,412$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour55,496,734$
Dépenses annuelles à ce jour64,268,195$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel3,096,757$
Compte bancaire projeté3,096,757$


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 NolanX100.0086627980907790828084777082817231497912824,000,000$
2Jakub Voracek (A)X100.0078328280848786878181786874756629457812816,000,000$
3Jeff Carter (A)X100.0077497674797774807876846674889919347713225,000,000$
4Max PaciorettyX100.0077348074867983817579857278776726447712913,750,000$
5Drew MillerX100.0070297678758374826880747671888715497613312,750,000$
6Marcus KrugerX100.0072398476807582827980846176666331497602723,500,000$
7Niclas BergforsX100.0076348283778577797074836386756923497613043,500,000$
8Travis ZajacX100.0076428380778176817475786975858120307613234,000,000$
9Brock NelsonX100.0079358776767677827376796276656137417402611,500,000$
10Calle JarnkrokX100.006831737673817973827878697473683449740261975,000$
11Nick Ritchie (R)X100.0079407579846987796776786863615460287402111,200,000$
12Tomas KubalikX100.0071338278768379797370756771635332237302711,000,000$
13Jacob TroubaX100.0084537981888477796482758470684751308012313,000,000$
14Brian LashoffX100.0082318175757778755976718368665429497602721,750,000$
15Matt SmabyX100.0085477875787279806170737465887616467613313,000,000$
16Jonathan EricssonX100.0071447980837376766186647161907515497513313,000,000$
17Jake Dotchin (R)X100.007940797677756471567557776070494248730232800,000$
18Ivan Provorov (R)X100.007447817676746872527669746061446826720204750,000$
Rayé
1Travis Konecny (R)X100.0067317785677772897172756583575763197302041,500,000$
2Nathan BeaulieuX100.0079408382777780797185717872735542367712533,500,000$
Équipe Mineure
1Michael BournivalX100.007939797677757475716879717674603734730251995,000$
2Alex DeBrincat (R)X100.007754867877707769747475617851447156710201500,000$
3Sven Andrighetto (R)X100.007934816980747169746679607357514455700242700,000$
4Nick ShoreX100.005827737172757075837475555958593535690251850,000$
5Joe Snively (R)X100.006333818758725775717171508343466751680212500,000$
6Cristoval Nieves (R)X100.006926777667707573767969557048504243680231600,000$
7Lucas Wallmarkk (R)X100.007238736865736474727667666544445339680213700,000$
8Morgan Klimchuk (R)X100.006732727271757569667270707647444551680222650,000$
9Erik Nystrom (R)X100.007023756973706771656372677550483551670241600,000$
10David Kampf (R)X100.005943836671716972666774566644475051660224700,000$
11Brendan Leipsic (R)X100.005033706666656265747172556347494028640231500,000$
12Nick Sorensen (R)X100.005933787469666965635672527348494540640232525,000$
13Laurent Dauphin (R)X100.007340796169637070607163506744444344630222500,000$
14JC Lipon (R)X100.007156696966516867685762525749503851620241450,000$
15Anthony Angello (R)X100.004938806363746555656561575343434544600212450,000$
16A.J. Greer (R)X100.006043616769627258595962525245444444590214250,000$
17Brett Murray (R)X100.007639626776546558445563544241416450580191500,000$
18Reid McNeillX100.007647797378658275596857726871513652710251975,000$
19Blake Heinrich (R)X100.007034717273746258497268795454464435690222500,000$
20Brenden KichtonX100.006730787168706865565960736357583234670251750,000$
21Rinat Valiev (R)X100.007334807267686273546560696248465151670222500,000$
22Cal Foote (R)X100.008047646480845357336452695043418251660192500,000$
23Mikko Lehtonen (R)X100.006941766152667074506871586149504552650231500,000$
24Matt Kiersted (R)X100.006446636165555455415543574941415922570191500,000$
25Riley Stillman (R)X100.006741625961566152355751554541416222570191500,000$
26Cooper Marody (R)X100.004335706251596160727256384745434920560214250,000$
27Fabian Zetterlund (R)X100.004535685362645654554568415840406920540182500,000$
28Devon Teows (R)X100.007347747066646270526455725449504639670233700,000$
29Victor Berglund (R)X100.006126655761514743285230662840407120550182500,000$
MOYENNE D’ÉQUIPE100.00703976727271717164706964655954434069
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 Mason100.008681768585787881837483747026448012914,000,000$
2Ilya Sorokin100.006891747780777784907363524857487802121,750,000$
Rayé
Équipe Mineure
1Anton Forsberg100.00757473777279767272767469713750740251975,000$
2Zachary Fucale100.00667759687074737578745948464651710222500,000$
3Jason Kasdorf100.00676778656470687067696653533720670251750,000$
4Kevin Lankinen (R)100.00676564676369596963635541416815630221500,000$
5Zachary Sawchenko (R)100.00605368515062664645717344466020560202500,000$
MOYENNE D’ÉQUIPE100.0070737070697371717171685454473570
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette83888277698658USA4942,500,000$


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 NolanFlyersC80275178-135801211422616816910.34%47180922.61519244630110172132251.61%23955236000.86414000254
2Max PaciorettyFlyersLW77323971-7875118842427111713.22%32172222.371318314727320262335046.34%1644233100.8217000234
3Jakub VoracekFlyersRW80323264-103751171042436815613.17%39171821.491513283730111241464250.00%1423629010.74614000423
4Marcus KrugerFlyersRW80303262-46083641885610715.96%16125415.68871523246000003344.74%382714010.9913000533
5Jeff CarterFlyersC73243357-8500114111155599315.48%36131918.07212141122010181003153.06%9161813000.8628000442
6Drew MillerFlyersLW80232548-46801041122118413510.90%30134616.837411212461011270144.26%615321000.7147000132
7Jacob TroubaFlyersD7433235-758012614314844392.03%112203027.442911263111124232100.00%04060000.3400000213
8Nathan BeaulieuFlyersD7272734-22608512111035546.36%92183125.43246142920222204010.00%03244100.3701000113
9Nick RitchieFlyersLW761420344540947514331739.79%31104013.69033111020002652133.90%592618000.6500000040
10Travis ZajacFlyersC66122234253155460105376311.43%1673211.100002290000363047.33%450197100.9301000221
11Niclas BergforsFlyersRW8014132713260764915149989.27%1086710.84000111000101345.83%24386000.6223000211
12Jonathan EricssonFlyersD8051722-9240629049231610.20%62129416.18213592000273110.00%01835000.3400000001
13Matt SmabyFlyersD8051520-4615114978030356.25%100179522.45224102400111187010.00%02452000.2200010110
14Brian LashoffFlyersD8021719-1220871116930332.90%85158619.8303341810110206100.00%01253000.2400000002
15Calle JarnkrokFlyersC8081119-834068679823528.16%237929.91000040114520051.90%3431810000.4800000031
16Brock NelsonFlyersLW787916-66052428425628.33%126648.52000040003842040.00%15227000.4800000022
17Travis KonecnyFlyersRW5431316-66022357623453.95%93897.2100015000001026.67%15156000.8211000002
18Ivan ProvorovFlyersD44189712034502819143.57%2860913.8600001000037000.00%0821000.3000000000
19Tomas KubalikFlyersRW49325-1401715365228.33%33066.2500017000000050.00%1830000.3300000100
20Jake DotchinFlyersD50033-12003547278170.00%2660912.1900003011043000.00%0119000.1000000000
Statistiques d’équipe totales ou en moyenne1433252421673-4269020158316192504788140010.06%8092372216.55589515326028767815451947291650.73%4640504484320.572159010273534
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 MasonFlyers52251940.9032.9629841901471508737310.744434832233
2Ilya SorokinFlyers34111560.8873.41188500107947464310.450203248110
Statistiques d’équipe totales ou en moyenne863634100.8973.1348691902542455120162638080343


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 LashoffFlyersD271990-01-01No212 Lbs6 ft3NoNoNo2Pro Only1,750,000$1,750,000$0$No1,500,000$
Brock NelsonFlyersLW261991-01-01No206 Lbs6 ft3NoNoNo1Pro Only1,500,000$1,500,000$0$No
Calle JarnkrokFlyersC261991-01-01No156 Lbs5 ft11NoNoNo1Pro Only975,000$975,000$0$No
Drew MillerFlyersLW331984-01-01No178 Lbs6 ft2NoNoNo1Pro Only2,750,000$2,750,000$0$No
Ilya SorokinFlyersG211996-01-01No180 Lbs6 ft2NoNoNo2Pro Only1,750,000$1,750,000$0$No2,250,000$Lien
Ivan ProvorovFlyersD201997-01-01Yes201 Lbs6 ft1NoNoNo4Pro & Farm750,000$750,000$0$No1,500,000$3,000,000$4,500,000$Lien
Jacob TroubaFlyersD231994-01-01No187 Lbs6 ft2NoNoNo1Pro Only3,000,000$3,000,000$0$NoLien
Jake DotchinFlyersD231994-01-01Yes207 Lbs6 ft2NoNoNo2Pro & Farm800,000$800,000$0$No800,000$Lien
Jakub VoracekFlyersRW281989-01-01No205 Lbs6 ft1NoNoNo1Pro Only6,000,000$6,000,000$0$No
Jeff CarterFlyersC321985-01-01No200 Lbs6 ft3NoNoNo2Pro Only5,000,000$5,000,000$0$No5,000,000$
Jonathan EricssonFlyersD331984-01-01No220 Lbs6 ft4NoNoNo1Pro Only3,000,000$3,000,000$0$No
Jordan NolanFlyersC281989-01-01No221 Lbs6 ft3NoNoNo2Pro Only4,000,000$4,000,000$0$No4,000,000$
Marcus KrugerFlyersRW271990-01-01No181 Lbs6 ft0NoNoNo2Pro Only3,500,000$3,500,000$0$No3,500,000$
Matt SmabyFlyersD331984-01-01No240 Lbs6 ft4NoNoNo1Pro Only3,000,000$3,000,000$0$No
Max PaciorettyFlyersLW291988-01-01No203 Lbs6 ft1NoNoNo1Pro Only3,750,000$3,750,000$0$No
Nathan BeaulieuFlyersD251992-01-01No205 Lbs6 ft2NoNoNo3Pro Only3,500,000$3,500,000$0$No3,750,000$4,000,000$
Nick RitchieFlyersLW211996-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm1,200,000$1,200,000$0$NoLien
Niclas BergforsFlyersRW301987-01-01No195 Lbs5 ft11NoNoNo4Pro Only3,500,000$3,500,000$0$No3,000,000$2,500,000$2,000,000$
Steve MasonFlyersG291988-01-01No211 Lbs6 ft4NoNoNo1Pro Only4,000,000$4,000,000$0$No
Tomas KubalikFlyersRW271990-01-01No212 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$No
Travis KonecnyFlyersRW201997-01-01Yes175 Lbs5 ft10NoNoNo4Pro Only1,500,000$1,500,000$0$No2,500,000$3,750,000$4,250,000$Lien
Travis ZajacFlyersC321985-01-01No200 Lbs6 ft3NoNoNo3Pro Only4,000,000$4,000,000$0$No4,000,000$4,000,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2226.95199 Lbs6 ft21.862,737,500$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
60,225,000$31,800,000$17,250,000$10,750,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max PaciorettyJordan NolanJakub Voracek40122
2Drew MillerJeff CarterMarcus Kruger30122
3Nick RitchieTravis ZajacNiclas Bergfors20122
4Brock NelsonCalle JarnkrokTomas Kubalik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaMatt Smaby40122
2Brian LashoffJonathan Ericsson30122
3Jake DotchinIvan Provorov20122
4Jacob TroubaMatt Smaby10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max PaciorettyJordan NolanJakub Voracek60122
2Drew MillerJeff CarterMarcus Kruger40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaMatt Smaby60122
2Brian LashoffJonathan Ericsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jordan NolanJakub Voracek60122
2Jeff CarterMax Pacioretty40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaMatt Smaby60122
2Brian LashoffJonathan Ericsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jordan Nolan60122Jacob TroubaMatt Smaby60122
2Jakub Voracek40122Brian LashoffJonathan Ericsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jordan NolanJakub Voracek60122
2Jeff CarterMax Pacioretty40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob TroubaMatt Smaby60122
2Brian LashoffJonathan Ericsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max PaciorettyJordan NolanJakub VoracekJacob TroubaMatt Smaby
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max PaciorettyJordan NolanJakub VoracekJacob TroubaMatt Smaby
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Zajac, Niclas Bergfors, Nick RitchieTravis Zajac, Niclas BergforsNick Ritchie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Dotchin, Ivan Provorov, Brian LashoffJake DotchinIvan Provorov, Brian Lashoff
Tirs de pénalité
Jordan Nolan, Jakub Voracek, Jeff Carter, Max Pacioretty, Drew Miller
Gardien
#1 : Ilya Sorokin, #2 : Steve Mason


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
1Avalanche2020000025-31010000012-11010000013-200.00024610011062122525065312042800.00%10280.00%0968188951.24%921179751.25%618121750.78%432442183317
2Blackhawks412000011416-22020000069-32100000187130.375142236005272125353060512323188420315.00%9366.67%0968188951.24%921179751.25%618121750.78%904978367541
3Blue Jackets31200000811-32020000048-41100000043120.33381422001430953434270902616591715.88%80100.00%0968188951.24%921179751.25%618121750.78%643663285125
4Blues211000005501010000034-11100000021120.500591400203049171121060182650100.00%13192.31%0968188951.24%921179751.25%618121750.78%371945203616
5Bruins301010011113-2200010017701010000046-230.50011193000253110030353439227306711545.45%15473.33%0968188951.24%921179751.25%618121750.78%684065285426
6Canadiens4210001015114210000107432110000087160.75015243900743111741354031373438751417.14%19384.21%2968188951.24%921179751.25%618121750.78%834689397236
7Canucks211000007701010000024-21100000053220.500712190012405417152205818243113430.77%12375.00%0968188951.24%921179751.25%618121750.78%392146193315
8Capitals210001008711000010056-11100000031230.75081422003410611721230541116316116.67%80100.00%0968188951.24%921179751.25%618121750.78%402042203818
9Devils30100020131302000002010821010000035-240.6671318310025441084030378992526666116.67%13284.62%0968188951.24%921179751.25%618121750.78%663868275426
10Flames733001001820-242200000121203110010068-270.500182947006840201657660021299381742114.76%18383.33%0968188951.24%921179751.25%618121750.78%150851416412763
11Golden Knights2020000059-41010000035-21010000024-200.0005101500014055132220063211842600.00%10280.00%1968188951.24%921179751.25%618121750.78%422443183317
12Islanders20100010330100000102111010000012-120.50034700101152201814658181840800.00%9277.78%0968188951.24%921179751.25%618121750.78%412144213818
13Jets30300000613-71010000012-120200000511-600.000611170013208722402501123426411300.00%13376.92%0968188951.24%921179751.25%618121750.78%613265285226
14Kings624000001820-231200000770312000001113-240.3331834520048601826661550174495510537718.92%21480.95%0968188951.24%921179751.25%618121750.78%132741185510856
15Lightning3100010110100110000003122000010179-240.66710162600451511136383799949205811218.18%10190.00%0968188951.24%921179751.25%618121750.78%623671285226
16Maple Leafs63200010191633110001011923210000087180.6671934531057612065083725188654010634617.65%20290.00%0968188951.24%921179751.25%618121750.78%130751305510353
17Oilers301000111213-1100000106512010000168-230.5001219310027219834322910983420559333.33%10370.00%0968188951.24%921179751.25%618121750.78%684267275326
18Panthers2010100078-1100010004311010000035-220.500712190003316623241815716183811436.36%9188.89%1968188951.24%921179751.25%618121750.78%462638183518
19Penguins310000111183100000104312100000175250.8331119300043341014328307893126551218.33%130100.00%0968188951.24%921179751.25%618121750.78%693963315727
20Predators31200000910-11010000034-12110000066020.33391524001620973435280972118531000.00%9544.44%1968188951.24%921179751.25%618121750.78%653863255126
21Rangers22000000853110000004311100000042241.000814220023306825232005517163611436.36%8275.00%0968188951.24%921179751.25%618121750.78%402242203617
22Red Wings310010011091100010002112100000188050.833101525001532893041158923728748337.50%14471.43%0968188951.24%921179751.25%618121750.78%633567295425
23Senateurs43100000141042110000056-12200000094560.750141933007610114384432012351317715213.33%130100.00%0968188951.24%921179751.25%618121750.78%884983356835
24Sharks3110000111110211000008711000000134-130.500112031002451993034347652942471317.69%9188.89%0968188951.24%921179751.25%618121750.78%653660305828
25Stars3120000011101211000009631010000024-220.33311182900344011335364209737165620420.00%8362.50%0968188951.24%921179751.25%618121750.78%684260265026
Total80263403377255263-840101803171129127240161600206126136-10820.51325542568020661007924251080787182072245782164415623355416.12%3015482.06%5968188951.24%921179751.25%618121750.78%173498217067581436719
_Since Last GM Reset80263403377255263-840101803171129127240161600206126136-10820.51325542568020661007924251080787182072245782164415623355416.12%3015482.06%5968188951.24%921179751.25%618121750.78%173498217067581436719
_Vs Conference49182201134154160-624713010307274-225119001048286-4490.50015425641010426444815104795454773815115023709502112813.27%1633180.98%3968188951.24%921179751.25%618121750.78%10666031030457879445
_Vs Division1989001105556-110450001030282944001002528-3190.50055971521015231615891812201875574213133385921415.22%59984.75%0968188951.24%921179751.25%618121750.78%414235390176340173

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8082SOL125542568025102457821644156220
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8026343377255263
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4010183171129127
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4016160206126136
Derniers 10 matchs
WLOTWOTL SOWSOL
430021
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3355416.12%3015482.06%5
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
80787182072661007924
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
968188951.24%921179751.25%618121750.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
173498217067581436719


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 - 2022-10-2811Flames1Flyers5BWSommaire du match
6 - 2022-11-0132Maple Leafs5Flyers6BWXXSommaire du match
10 - 2022-11-0553Maple Leafs3Flyers2BLSommaire du match
12 - 2022-11-0762Flyers1Maple Leafs3ALSommaire du match
16 - 2022-11-1179Flames3Flyers5BWSommaire du match
19 - 2022-11-1497Flyers3Kings4ALR1Sommaire du match
21 - 2022-11-16105Kings2Flyers0BLSommaire du match
23 - 2022-11-18121Flyers4Senateurs2AWSommaire du match
25 - 2022-11-20130Senateurs2Flyers3BWSommaire du match
26 - 2022-11-21132Flyers3Flames2AWSommaire du match
29 - 2022-11-24153Flyers4Penguins1AWSommaire du match
31 - 2022-11-26160Flames4Flyers1BLSommaire du match
32 - 2022-11-27170Flyers4Oilers5ALXXSommaire du match
35 - 2022-11-30186Flyers5Lightning6ALXSommaire du match
36 - 2022-12-01192Kings2Flyers6BWR1Sommaire du match
40 - 2022-12-05212Capitals6Flyers5BLXSommaire du match
42 - 2022-12-07220Flyers2Golden Knights4ALSommaire du match
46 - 2022-12-11238Canucks4Flyers2BLSommaire du match
50 - 2022-12-15262Red Wings1Flyers2BWXSommaire du match
53 - 2022-12-18274Flyers3Jets5ALSommaire du match
55 - 2022-12-20285Flyers2Blues1AWSommaire du match
57 - 2022-12-22293Oilers5Flyers6BWXXSommaire du match
59 - 2022-12-24308Flyers5Senateurs2AWSommaire du match
61 - 2022-12-26318Islanders1Flyers2BWXXSommaire du match
64 - 2022-12-29333Flyers5Red Wings4AWSommaire du match
66 - 2022-12-31344Jets2Flyers1BLSommaire du match
68 - 2023-01-02353Flyers4Rangers2AWSommaire du match
70 - 2023-01-04367Flyers2Lightning3ALXXSommaire du match
72 - 2023-01-06376Avalanche2Flyers1BLSommaire du match
74 - 2023-01-08389Flyers3Penguins4ALXXSommaire du match
76 - 2023-01-10399Flyers2Flames3ALXSommaire du match
78 - 2023-01-12407Blackhawks4Flyers3BLSommaire du match
81 - 2023-01-15427Flyers1Flames3ALSommaire du match
82 - 2023-01-16432Senateurs4Flyers2BLSommaire du match
86 - 2023-01-20451Penguins3Flyers4BWXXSommaire du match
89 - 2023-01-23463Flyers3Capitals1AWSommaire du match
91 - 2023-01-25470Flyers3Maple Leafs1AWSommaire du match
93 - 2023-01-27484Kings3Flyers1BLR1Sommaire du match
94 - 2023-01-28494Flyers3Panthers5ALSommaire du match
97 - 2023-01-31508Lightning1Flyers3BWSommaire du match
100 - 2023-02-03524Flyers4Bruins6ALSommaire du match
102 - 2023-02-05535Flyers4Blue Jackets3AWSommaire du match
103 - 2023-02-06540Rangers3Flyers4BWSommaire du match
107 - 2023-02-10562Panthers3Flyers4BWXSommaire du match
111 - 2023-02-14583Stars4Flyers1BLSommaire du match
113 - 2023-02-16592Flyers3Red Wings4ALXXSommaire du match
115 - 2023-02-18604Flyers3Sharks4ALXXSommaire du match
117 - 2023-02-20614Flyers1Islanders2ALSommaire du match
118 - 2023-02-21619Predators4Flyers3BLSommaire du match
121 - 2023-02-24634Flyers1Predators3ALSommaire du match
123 - 2023-02-26644Blues4Flyers3BLSommaire du match
126 - 2023-03-01662Flyers5Kings3AWR1Sommaire du match
128 - 2023-03-03670Golden Knights5Flyers3BLSommaire du match
131 - 2023-03-06690Flames4Flyers1BLSommaire du match
133 - 2023-03-08704Flyers2Jets6ALSommaire du match
135 - 2023-03-10713Flyers2Oilers3ALSommaire du match
136 - 2023-03-11721Bruins3Flyers4BWXSommaire du match
140 - 2023-03-15743Bruins4Flyers3BLXXSommaire du match
142 - 2023-03-17758Flyers3Kings6ALR1Sommaire du match
144 - 2023-03-19769Blackhawks5Flyers3BLSommaire du match
149 - 2023-03-24790Stars2Flyers8BWSommaire du match
151 - 2023-03-26801Flyers3Devils5ALSommaire du match
153 - 2023-03-28812Flyers4Maple Leafs3AWSommaire du match
156 - 2023-03-31824Maple Leafs1Flyers3BWSommaire du match
159 - 2023-04-03841Flyers3Canadiens4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
160 - 2023-04-04850Canadiens2Flyers4BWSommaire du match
164 - 2023-04-08867Blue Jackets4Flyers2BLSommaire du match
166 - 2023-04-10881Flyers5Blackhawks3AWSommaire du match
167 - 2023-04-11884Flyers2Stars4ALSommaire du match
171 - 2023-04-15902Canadiens2Flyers3BWXXSommaire du match
174 - 2023-04-18918Flyers5Predators3AWSommaire du match
175 - 2023-04-19924Flyers5Canadiens3AWSommaire du match
177 - 2023-04-21932Blue Jackets4Flyers2BLSommaire du match
181 - 2023-04-25950Flyers1Avalanche3ALSommaire du match
182 - 2023-04-26959Devils3Flyers4BWXXSommaire du match
186 - 2023-04-30980Devils5Flyers6BWXXSommaire du match
190 - 2023-05-04997Sharks3Flyers2BLSommaire du match
192 - 2023-05-061008Flyers5Canucks3AWSommaire du match
196 - 2023-05-101025Sharks4Flyers6BWSommaire du match
197 - 2023-05-111032Flyers3Blackhawks4ALXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance225,812187,95275,093149,18137,868
Attendance PCT94.09%93.98%93.87%93.24%94.67%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 16898 - 93.88% 1,387,418$55,496,734$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
64,268,195$ 60,225,000$ 52,475,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
302,638$ 61,504,345$ 7,078,506$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 315,201$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 3,096,757$ 3,096,757$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
61,504,345$ 4,592,412$ 66,096,757$ 26,504,345$



Charte de profondeur

Ailier gaucheCentreAilier droit
Max PaciorettyAGE:29PO:26OV:77
Drew MillerAGE:33PO:15OV:76
Nick Ritchie (R)AGE:21PO:60OV:74
Brock NelsonAGE:26PO:37OV:74
Michael BournivalAGE:25PO:37OV:73
Morgan Klimchuk (R)AGE:22PO:45OV:68
Erik Nystrom (R)AGE:24PO:35OV:67
Brendan Leipsic (R)AGE:23PO:40OV:64
A.J. Greer (R)AGE:21PO:44OV:59
Brett Murray (R)AGE:19PO:64OV:58
Fabian Zetterlund (R)AGE:18PO:69OV:54
Jordan NolanAGE:28PO:31OV:79
Jeff CarterAGE:32PO:19OV:77
Travis ZajacAGE:32PO:20OV:76
Calle JarnkrokAGE:26PO:34OV:74
Nick ShoreAGE:25PO:35OV:69
Joe Snively (R)AGE:21PO:67OV:68
Lucas Wallmarkk (R)AGE:21PO:53OV:68
Cristoval Nieves (R)AGE:23PO:42OV:68
David Kampf (R)AGE:22PO:50OV:66
Laurent Dauphin (R)AGE:22PO:43OV:63
Anthony Angello (R)AGE:21PO:45OV:60
Cooper Marody (R)AGE:21PO:49OV:56
Jakub VoracekAGE:28PO:29OV:78
Marcus KrugerAGE:27PO:31OV:76
Niclas BergforsAGE:30PO:23OV:76
Travis Konecny (R)AGE:20PO:63OV:73
Tomas KubalikAGE:27PO:32OV:73
Alex DeBrincat (R)AGE:20PO:71OV:71
Sven Andrighetto (R)AGE:24PO:44OV:70
Nick Sorensen (R)AGE:23PO:45OV:64
JC Lipon (R)AGE:24PO:38OV:62

Défense #1Défense #2Gardien
Jacob TroubaAGE:23PO:51OV:80
Nathan BeaulieuAGE:25PO:42OV:77
Brian LashoffAGE:27PO:29OV:76
Matt SmabyAGE:33PO:16OV:76
Jonathan EricssonAGE:33PO:15OV:75
Jake Dotchin (R)AGE:23PO:42OV:73
Ivan Provorov (R)AGE:20PO:68OV:72
Reid McNeillAGE:25PO:36OV:71
Blake Heinrich (R)AGE:22PO:44OV:69
Rinat Valiev (R)AGE:22PO:51OV:67
Devon Teows (R)AGE:23PO:46OV:67
Brenden KichtonAGE:25PO:32OV:67
Cal Foote (R)AGE:19PO:82OV:66
Mikko Lehtonen (R)AGE:23PO:45OV:65
Riley Stillman (R)AGE:19PO:62OV:57
Matt Kiersted (R)AGE:19PO:59OV:57
Victor Berglund (R)AGE:18PO:71OV:55
Steve MasonAGE:29PO:26OV:80
Ilya SorokinAGE:21PO:57OV:78
Anton ForsbergAGE:25PO:37OV:74
Zachary FucaleAGE:22PO:46OV:71
Jason KasdorfAGE:25PO:37OV:67
Kevin Lankinen (R)AGE:22PO:68OV:63
Zachary Sawchenko (R)AGE:20PO:60OV:56

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
3
4
5
6
7






Flyers Historique de transactions

[2023-04-09 9:01:18 PM] - New Record for Team's Most Goals (8) in 1 Game for Flyers!
[2023-03-26 7:56:37 PM] - TRADE : From Flyers to Canucks : Chris Mcallister (74), J.T. Miller (81).
[2023-03-26 7:56:37 PM] - TRADE : From Canucks to Flyers : Kevin Lankinen (63), Max Pacioretty (77), Nick Ritchie (74), Y:3-RND:2-N.J.
[2023-02-27 7:02:34 PM] - New Record for Team's Most Hits (32) in 1 Game for Flyers!
[2022-10-31 7:25:26 PM] - Brian Flynn was released.
[2022-10-31 7:25:26 PM] - Flyers paid $0 to release Brian Flynn.



[2023-06-01 7:16:22 PM] Nathan Beaulieu from Flyers is back from Severed Right Wrist Tendon Injury.
[2023-05-27 9:33:02 PM] Devon Teows from Phantoms is back from Fractured Bone in Right Hand Injury.
[2023-05-20 8:59:02 PM] Last 7 Days Farm Star : 1 - Sven Andrighetto of Phantoms (4-2-6) / 2 - Alex DeBrincat of Phantoms (5-4-9) / 3 - Blake Geoffrion of Thunderbirds (3-5-8)
[2023-05-19 11:27:03 PM] Auto Lines Function has been run for Phantoms.
[2023-05-19 11:27:03 PM] Auto Roster Farm Only Function has been run for Flyers.
[2023-05-18 10:46:51 PM] Anton Forsberg from Phantoms is back from Exhaustion.
[2023-05-18 10:46:21 PM] Anton Forsberg from Phantoms injured (Exhaustion)
[2023-05-18 10:46:21 PM] Farm Game #960 - Sven Andrighetto from Phantoms has scored a Hat Trick!
[2023-05-09 9:24:10 PM] Auto Lines Function has been run for Flyers.
[2023-05-09 9:24:10 PM] Auto Roster Partial Function has been run for Flyers.
[2023-05-09 9:24:10 PM] Ivan Provorov of Flyers was sent to pro.
[2023-05-07 11:21:46 PM] Last 7 Days Farm Star : 1 - Nick Cousins of Eagles (5-5-10) / 2 - Jonathan Marchessault of Eagles (4-6-10) / 3 - Michael Bournival of Phantoms (4-4-8)
[2023-05-07 11:21:46 PM] Game 924 - Nathan Beaulieu from Flyers is injured (Severed Right Wrist Tendon) and is out for 1 month.
[2023-05-06 7:05:47 PM] Ivan Provorov from Phantoms is back from Torn Left Knee Ligaments Injury.
[2023-05-05 10:48:07 PM] Auto Lines Function has been run for Phantoms.
[2023-05-03 7:32:07 PM] Auto Lines Function has been run for Flyers.
[2023-05-03 7:32:07 PM] Auto Roster Partial Function has been run for Flyers.
[2023-05-03 7:31:58 PM] Game 883 - Devon Teows from Phantoms is injured (Fractured Bone in Right Hand) and is out for 1 month.
[2023-05-01 7:19:12 PM] Ilya Sorokin from Flyers is back from Exhaustion.
[2023-04-30 10:23:01 PM] Ilya Sorokin from Flyers injured (Exhaustion)
[2023-04-29 9:49:37 PM] Auto Lines Function has been run for Phantoms.
[2023-04-26 8:05:18 PM] Game 846 - Ivan Provorov from Phantoms is injured (Torn Left Knee Ligaments) and is out for 2 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