Philadelphie Flyers

GP: 65 | W: 27 | L: 32 | OTL: 6 | P: 60
GF: 170 | GA: 202 | PP%: 15.94% | PK%: 80.57%
DG: Kriss Cardenas | Morale : 27 | Moyenne d'Équipe : N/A
Prochain matchs #989 vs Chicago Blackhawks
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1Henrik Sedin (A)X100.0065508682859589808687778050959914300
2Henrik Zetterberg (C)XX100.0072508888909799909296788394959614400
3Colin WilsonXX100.0067508885888179765084737250777414300
4Mikko RantanenXXX100.0064508790808982815679816350706914400
5Rene BourqueXX100.0083507773857775705059686350788018500
6Rick NashXX100.0071508589898676715077868750868914400
7Sergey KalininXXX100.0083508673826280605555577750585813800
8Phil KesselXX100.0072508895929499965094847990868412700
9Justin AbdelkaderXX100.0095507887948687795076707550737714300
10Victor RaskX100.0060508985848897808484777550737114400
11William KarlssonX100.0058509381727696707965677750706714300
12Jacob De La RoseXX100.0087777979778773597454586755515218400
13Andrew MacDonaldX100.0072508876858688772568619150838313100
14Mike GreenX100.0076508585869689892574788350788214700
15Trevor DaleyX100.0069508384888686822568618750838612300
16Cody FransonX100.0086508787898281782569628450727414200
17Nikita NesterovX100.0095508284817679802571607150747214300
18Radko GudasX100.0099507578988587822570659050808014200
Rayé
MOYENNE D'ÉQUIPE100.007652858386858678517470785577771450
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 SP
1Martin Jones97.008896918781898686848791868612200
2Chad Johnson100.008083868181808278767688797612800
Rayé
MOYENNE D'ÉQUIPE98.50849089848185848280829083811250
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pat Quinn7678787799871CAN711500,000$


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'ÉquipePOS GP 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
1Henrik ZetterbergPhiladelphie FlyersC/LW65233962-631580233237999.70%12160924.76810185823101132265256.28%230800000.7701001444
2Phil KesselPhiladelphie FlyersLW/RW5218375512120941021933149.33%17119522.99414183315001171393037.60%37500100.9214000355
3Rick NashPhiladelphie FlyersLW/RW65212647-1335102712082710.10%11138721.34369432292026853040.19%10700110.6800001522
4Radko GudasPhiladelphie FlyersD6592938-12972519664102378.82%90155123.87099482140000153200.00%000000.4900122112
5Henrik SedinPhiladelphie FlyersC65152035-420040145179258.38%22126519.47311144120900011013153.54%158200010.5501000220
6Mike GreenPhiladelphie FlyersD65102333-2230104784150266.67%91168325.907411882370001193000.00%000000.3900101103
7Andrew MacDonaldPhiladelphie FlyersD5981725-42754865632212.70%70113019.16369271200110140200.00%000000.4400001003
8Cody FransonPhiladelphie FlyersD5910142434007755441122.73%5292315.661231364000032200.00%000000.5200000122
9Trevor DaleyPhiladelphie FlyersD5441822-9275516042039.52%4699618.4413412480000106000.00%000000.4400100002
10Victor RaskPhiladelphie FlyersC6591221-775995113047.96%371010.9400034000003055.11%80200000.5900001201
11Mikko RantanenPhiladelphie FlyersC/LW/RW6561319-112155558115325.22%6100915.520331371000021039.66%5800000.3800001101
12Justin AbdelkaderPhiladelphie FlyersLW/RW6510919-1940013160101029.90%585913.2354932205000000136.67%6000000.4400000031
13Nikita NesterovPhiladelphie FlyersD6521113-65801363628017.14%50105616.25011667000067000.00%000000.2500000000
14Colin WilsonPhiladelphie FlyersC/LW657310-10401242431016.28%85939.13000000000111035.71%7000000.3400000011
15William KarlssonPhiladelphie FlyersC65156-6101034139032.56%43625.58000111000001046.58%38000000.3300110000
16Sergey KalininPhiladelphie FlyersC/LW/RW63055-8135311321020.00%33365.3400000000000043.48%2300000.3000010000
17Cameron GaunceAdirondack Phantoms (Phi)D34033-5803488000.00%3552215.38000234000038000.00%000000.1100000000
18Jacob De La RosePhiladelphie FlyersC/LW5101-32051101100.00%0326.44000000000000100.00%200000.6200000000
19Rene BourquePhiladelphie FlyersLW/RW2000-100100110.00%0178.610000000000000.00%200000.0000000000
20Jakub KindlAdirondack Phantoms (Phi)D3000020412000.00%34214.110000000003000.00%000000.0000000000
21Griffin ReinhartAdirondack Phantoms (Phi)D1000-100300000.00%01212.320000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1047154284438-1204828011591234168929709.12%5281729816.523573108420190223518130326452.54%576900220.5116448202027
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
1Chad JohnsonPhiladelphie Flyers3215820.9032.99166600838530000.50022635330
2Martin JonesPhiladelphie Flyers42122440.8933.1322452111710930210.00003925411
Stats d'équipe Total ou en Moyenne74273260.8973.0739112120019460210.50026560741


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andrew MacDonaldPhiladelphie FlyersD301986-09-28No204 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm1,700,000$1,700,000$412,717$No1,700,000$1,700,000$
Chad JohnsonPhiladelphie FlyersG301986-06-10No193 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm2,000,000$2,000,000$485,549$No2,000,000$
Cody FransonPhiladelphie FlyersD291987-08-08No213 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$606,936$No2,500,000$2,500,000$
Colin WilsonPhiladelphie FlyersC/LW271989-10-19No216 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$500,000$121,387$No
Henrik SedinPhiladelphie FlyersC361980-09-26No188 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$849,711$No
Henrik ZetterbergPhiladelphie FlyersC/LW361980-10-08No195 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm10,000,000$10,000,000$2,427,746$No10,000,000$10,000,000$
Jacob De La RosePhiladelphie FlyersC/LW211995-05-19No207 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$218,497$No900,000$
Justin AbdelkaderPhiladelphie FlyersLW/RW291987-02-24No218 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,700,000$2,700,000$655,491$No2,700,000$
Martin JonesPhiladelphie FlyersG271990-01-10No187 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm5,000,000$5,000,000$1,213,873$No5,000,000$5,000,000$5,000,000$
Mike GreenPhiladelphie FlyersD311985-10-11No207 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,250,000$3,250,000$789,017$No
Mikko RantanenPhiladelphie FlyersC/LW/RW201996-10-28No211 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$218,497$No900,000$900,000$900,000$
Nikita NesterovPhiladelphie FlyersD231993-03-28No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$72,832$No
Phil KesselPhiladelphie FlyersLW/RW291987-10-02No202 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm5,000,000$5,000,000$1,213,873$No5,000,000$5,000,000$5,000,000$
Radko GudasPhiladelphie FlyersD261990-06-04No204 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$606,936$No2,500,000$2,500,000$
Rene BourquePhiladelphie FlyersLW/RW351981-12-09No214 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm500,000$500,000$121,387$No500,000$500,000$500,000$
Rick NashPhiladelphie FlyersLW/RW321984-06-15No220 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$849,711$No
Sergey KalininPhiladelphie FlyersC/LW/RW251991-03-17No190 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$500,000$121,387$No500,000$500,000$
Trevor DaleyPhiladelphie FlyersD331983-10-09No195 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm2,500,000$2,500,000$606,936$No2,500,000$2,500,000$
Victor RaskPhiladelphie FlyersC231993-03-01No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm900,000$900,000$218,497$No900,000$
William KarlssonPhiladelphie FlyersC241993-01-07No180 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$500,000$121,387$No500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2028.30202 Lbs6 ft22.452,457,500$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,150,000$38,100,000$31,100,000$11,400,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rick NashHenrik ZetterbergPhil Kessel40122
2Colin WilsonHenrik SedinMikko Rantanen30122
3Justin AbdelkaderVictor RaskRene Bourque20122
4Jacob De La RoseWilliam KarlssonSergey Kalinin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Radko GudasMike Green40122
2Trevor DaleyAndrew MacDonald30122
3Cody FransonNikita Nesterov20122
4Radko GudasMike Green10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Phil KesselHenrik ZetterbergRick Nash60122
2Justin AbdelkaderHenrik SedinMikko Rantanen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Radko GudasMike Green60122
2Trevor DaleyAndrew MacDonald40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Phil KesselHenrik Zetterberg60122
2Henrik SedinRick Nash40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Radko GudasMike Green60122
2Trevor DaleyAndrew MacDonald40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Phil Kessel60122Radko GudasMike Green60122
2Henrik Zetterberg40122Trevor DaleyAndrew MacDonald40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Phil KesselHenrik Zetterberg60122
2Henrik SedinRick Nash40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Radko GudasMike Green60122
2Trevor DaleyAndrew MacDonald40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Phil KesselHenrik ZetterbergRick NashRadko GudasMike Green
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Phil KesselHenrik ZetterbergRick NashRadko GudasMike Green
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jacob De La Rose, Victor Rask, Colin WilsonJacob De La Rose, Victor RaskColin Wilson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cody Franson, Nikita Nesterov, Trevor DaleyCody FransonNikita Nesterov, Trevor Daley
Tirs de Pénalité
Phil Kessel, Henrik Zetterberg, Henrik Sedin, Rick Nash, Victor Rask
Gardien
#1 : Martin Jones, #2 : Chad Johnson


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
LigueDomicileVisiteur
# 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
1Anaheim Ducks1010000015-4000000000001010000015-400.00012300001039166170365424500.00%2150.00%01215229952.85%1224228353.61%552105352.42%2719205126
2Boston Bruins412001001014-42110000056-12010010058-330.375101929002530104323338112833437613323.08%13469.23%01215229952.85%1224228353.61%552105352.42%926497295124
3Buffalo Sabres11000000541110000005410000000000021.0005813001220367151403064223133.33%20100.00%01215229952.85%1224228353.61%552105352.42%2820186137
4Calgary Flames1000000112-1000000000001000000112-110.5001230001003551614328131429400.00%50100.00%01215229952.85%1224228353.61%552105352.42%2517258136
5Caroline Hurricanes30300000713-61010000013-220200000610-400.000712190031307335182001031924608450.00%12466.67%01215229952.85%1224228353.61%552105352.42%684673223817
6Chicago Blackhawks1010000004-41010000004-40000000000000.0000000000003217870395420200.00%20100.00%01215229952.85%1224228353.61%552105352.42%2415216137
7Colorado Avalanche20101000611-51010000006-61000100065120.50061218003111652024201851510469111.11%5340.00%01215229952.85%1224228353.61%552105352.42%453150142411
8Columbus Blue Jackets53001100171072200000072531001100108290.9001729460095211394153405145517212718211.11%24387.50%11215229952.85%1224228353.61%552105352.42%11579125346230
9Dallas Stars21100000981110000005321010000045-120.50091625002340571720200692916387228.57%8275.00%01215229952.85%1224228353.61%552105352.42%473246142512
10Detroit Red Wings32100000743110000003032110000044040.667714210131309845233006912254512216.67%10280.00%01215229952.85%1224228353.61%552105352.42%735269213718
11Edmonton Oilers2020000026-41010000013-21010000013-200.000235101100631725210561263610110.00%30100.00%01215229952.85%1224228353.61%552105352.42%503443142513
12Floride Panthers31100100990210001006511010000034-130.500917260033309124402709017175915320.00%5180.00%01215229952.85%1224228353.61%552105352.42%765567223618
13Los Angeles Kings1000010023-1000000000001000010023-110.500246001100299137018113235120.00%40100.00%01215229952.85%1224228353.61%552105352.42%2821195116
14Minnesota Wild20200000610-41010000036-31010000034-100.00061117002310672535708020164311436.36%8362.50%01215229952.85%1224228353.61%552105352.42%453148142513
15Montreal Canadiens11000000422110000004220000000000021.00048120013004315161202756174125.00%3166.67%01215229952.85%1224228353.61%552105352.42%2619206126
16Nashville Predators21001000853100010005411100000031241.00081422002141641917262671912506116.67%60100.00%01215229952.85%1224228353.61%552105352.42%523748142311
17New Jersey Devils3030000039-62020000025-31010000014-300.000369000210692031180792563701900.00%16287.50%01215229952.85%1224228353.61%552105352.42%714770243717
18New York Islanders3120000058-32020000026-41100000032120.333581300131082252631081183255700.00%15380.00%01215229952.85%1224228353.61%552105352.42%674573223817
19New York Rangers3300000012392200000010281100000021161.0001221330045309236282807328166410110.00%8187.50%01215229952.85%1224228353.61%552105352.42%775665203618
20Ottawa Senateurs32100000981321000009810000000000040.667916250040508324302906529296216425.00%11281.82%01215229952.85%1224228353.61%552105352.42%674674223718
21Phoenix Coyotes11000000211000000000001100000021121.00024600011025411100326025300.00%000.00%01215229952.85%1224228353.61%552105352.42%2114266126
22Pittsburgh Penguins30300000713-61010000025-32020000058-300.000713200041206930182101002824597114.29%12466.67%01215229952.85%1224228353.61%552105352.42%674573213819
23San Jose Sharks20200000210-820200000210-80000000000000.00024600101041131315069251235400.00%6183.33%01215229952.85%1224228353.61%552105352.42%453149142512
24St-Louis Blues11000000312110000003120000000000021.000358001200352168027196203133.33%30100.00%11215229952.85%1224228353.61%552105352.42%2317247125
25Toronto Maple Leafs3210000011920000000000032100000119240.66711182900434014638535506923135613215.38%20100.00%01215229952.85%1224228353.61%552105352.42%886553203720
Total65243203501170202-32331515012008896-8329170230182106-24600.462170304474115856533194863867762313194753854713092514015.94%2114180.57%31215229952.85%1224228353.61%552105352.42%157310971527472817405
27Vancouver Canucks40300100813-52010010057-22020000036-310.12581220002330102273836113741316114214.29%11372.73%11215229952.85%1224228353.61%552105352.42%9163102314923
28Washington Capitals32100000811-3110000003212110000059-440.667815230042201043630380751923501516.67%9188.89%01215229952.85%1224228353.61%552105352.42%745167223718
29Winnipeg Jets21100000660110000005231010000014-320.50061117000330652031140701512378225.00%60100.00%01215229952.85%1224228353.61%552105352.42%463248152512
_Since Last GM Reset65243203501170202-32331515012008896-8329170230182106-24600.462170304474115856533194863867762313194753854713092514015.94%2114180.57%31215229952.85%1224228353.61%552105352.42%157310971527472817405
_Vs Conference41191801300114117-321128001005950920710012005567-12430.5241142043180143363411229408414401611343133918221602515.63%1422880.28%11215229952.85%1224228353.61%552105352.42%997696951298515255
_Vs Division23912011005967-8115600000272521246011003242-10210.45759104163002519141628223204196565618825448584910.71%961881.25%11215229952.85%1224228353.61%552105352.42%542372550169290141

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6560L217030447419481947538547130911
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6524323501170202
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
33151512008896
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
32917230182106
Derniers 10 Matchs
WLOTWOTL SOWSOL
450100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2514015.94%2114180.57%3
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
638677623135856533
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
1215229952.85%1224228353.61%552105352.42%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
157310971527472817405


Derniers Match 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 - 2017-10-017Boston Bruins4Philadelphie Flyers1LSommaire du Match
3 - 2017-10-0334Floride Panthers4Philadelphie Flyers3LXSommaire du Match
5 - 2017-10-0543Philadelphie Flyers2Columbus Blue Jackets3LXSommaire du Match
7 - 2017-10-0754Philadelphie Flyers2Pittsburgh Penguins4LSommaire du Match
9 - 2017-10-0967Ottawa Senateurs4Philadelphie Flyers1LSommaire du Match
11 - 2017-10-1176Philadelphie Flyers2Detroit Red Wings3LSommaire du Match
13 - 2017-10-1395New Jersey Devils3Philadelphie Flyers1LR3Sommaire du Match
14 - 2017-10-14106Philadelphie Flyers4Columbus Blue Jackets3WXSommaire du Match
15 - 2017-10-15112Philadelphie Flyers2Toronto Maple Leafs1WSommaire du Match
17 - 2017-10-17136Vancouver Canucks3Philadelphie Flyers2LSommaire du Match
19 - 2017-10-19151Philadelphie Flyers1Vancouver Canucks2LSommaire du Match
21 - 2017-10-21166Philadelphie Flyers3Boston Bruins4LXSommaire du Match
23 - 2017-10-23177New York Islanders3Philadelphie Flyers1LSommaire du Match
25 - 2017-10-25195Philadelphie Flyers3Caroline Hurricanes6LSommaire du Match
26 - 2017-10-26207San Jose Sharks7Philadelphie Flyers1LSommaire du Match
30 - 2017-10-30225Ottawa Senateurs1Philadelphie Flyers4WSommaire du Match
31 - 2017-10-31238Philadelphie Flyers2Washington Capitals7LSommaire du Match
33 - 2017-11-02254Philadelphie Flyers2Los Angeles Kings3LXSommaire du Match
35 - 2017-11-04266Washington Capitals2Philadelphie Flyers3WSommaire du Match
37 - 2017-11-06283Philadelphie Flyers2Detroit Red Wings1WSommaire du Match
38 - 2017-11-07293Dallas Stars3Philadelphie Flyers5WSommaire du Match
39 - 2017-11-08311Philadelphie Flyers2Phoenix Coyotes1WSommaire du Match
40 - 2017-11-09323New York Islanders3Philadelphie Flyers1LSommaire du Match
46 - 2017-11-15346Winnipeg Jets2Philadelphie Flyers5WSommaire du Match
48 - 2017-11-17362Philadelphie Flyers2Boston Bruins4LSommaire du Match
50 - 2017-11-19374New Jersey Devils2Philadelphie Flyers1LR3Sommaire du Match
52 - 2017-11-21385Philadelphie Flyers1New Jersey Devils4LSommaire du Match
53 - 2017-11-22404Philadelphie Flyers3Washington Capitals2WSommaire du Match
55 - 2017-11-24413Floride Panthers1Philadelphie Flyers3WSommaire du Match
59 - 2017-11-28435New York Rangers1Philadelphie Flyers7WSommaire du Match
63 - 2017-12-02460Caroline Hurricanes3Philadelphie Flyers1LSommaire du Match
65 - 2017-12-04475Philadelphie Flyers2New York Rangers1WSommaire du Match
66 - 2017-12-05488Philadelphie Flyers3Nashville Predators1WSommaire du Match
67 - 2017-12-06499Minnesota Wild6Philadelphie Flyers3LSommaire du Match
68 - 2017-12-07519Columbus Blue Jackets1Philadelphie Flyers3WSommaire du Match
74 - 2017-12-13539Philadelphie Flyers3Floride Panthers4LSommaire du Match
75 - 2017-12-14553Columbus Blue Jackets1Philadelphie Flyers4WSommaire du Match
77 - 2017-12-16572Philadelphie Flyers3New York Islanders2WSommaire du Match
78 - 2017-12-17582Chicago Blackhawks4Philadelphie Flyers0LSommaire du Match
80 - 2017-12-19605Pittsburgh Penguins5Philadelphie Flyers2LSommaire du Match
83 - 2017-12-22624Philadelphie Flyers3Minnesota Wild4LSommaire du Match
84 - 2017-12-23636Colorado Avalanche6Philadelphie Flyers0LSommaire du Match
86 - 2017-12-25646Philadelphie Flyers3Pittsburgh Penguins4LSommaire du Match
88 - 2017-12-27666Philadelphie Flyers4Columbus Blue Jackets2WSommaire du Match
89 - 2017-12-28671Nashville Predators4Philadelphie Flyers5WXSommaire du Match
90 - 2017-12-29690Philadelphie Flyers1Anaheim Ducks5LSommaire du Match
92 - 2017-12-31703San Jose Sharks3Philadelphie Flyers1LSommaire du Match
95 - 2018-01-03718Philadelphie Flyers1Edmonton Oilers3LSommaire du Match
97 - 2018-01-05735Boston Bruins2Philadelphie Flyers4WSommaire du Match
99 - 2018-01-07757Buffalo Sabres4Philadelphie Flyers5WSommaire du Match
100 - 2018-01-08765Philadelphie Flyers6Colorado Avalanche5WXSommaire du Match
104 - 2018-01-12786Philadelphie Flyers1Calgary Flames2LXXSommaire du Match
105 - 2018-01-13792Ottawa Senateurs3Philadelphie Flyers4WSommaire du Match
109 - 2018-01-17811Philadelphie Flyers2Vancouver Canucks4LSommaire du Match
111 - 2018-01-19819Montreal Canadiens2Philadelphie Flyers4WSommaire du Match
113 - 2018-01-21825Philadelphie Flyers3Caroline Hurricanes4LSommaire du Match
116 - 2018-01-24851Vancouver Canucks4Philadelphie Flyers3LXSommaire du Match
119 - 2018-01-27869Philadelphie Flyers1Winnipeg Jets4LSommaire du Match
121 - 2018-01-29881New York Rangers1Philadelphie Flyers3WSommaire du Match
123 - 2018-01-31906Philadelphie Flyers4Toronto Maple Leafs6LSommaire du Match
124 - 2018-02-01913Detroit Red Wings0Philadelphie Flyers3WSommaire du Match
126 - 2018-02-03935Philadelphie Flyers5Toronto Maple Leafs2WSommaire du Match
127 - 2018-02-04941St-Louis Blues1Philadelphie Flyers3WSommaire du Match
129 - 2018-02-06966Edmonton Oilers3Philadelphie Flyers1LSommaire du Match
130 - 2018-02-07976Philadelphie Flyers4Dallas Stars5LSommaire du Match
133 - 2018-02-10989Philadelphie Flyers-Chicago Blackhawks-
135 - 2018-02-121001Philadelphie Flyers-Ottawa Senateurs-
136 - 2018-02-131009Toronto Maple Leafs-Philadelphie Flyers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161032Buffalo Sabres-Philadelphie Flyers-
143 - 2018-02-201057Tampa Bay Lightning-Philadelphie Flyers-
146 - 2018-02-231084Anaheim Ducks-Philadelphie Flyers-
148 - 2018-02-251093Philadelphie Flyers-St-Louis Blues-
149 - 2018-02-261104Philadelphie Flyers-Tampa Bay Lightning-
153 - 2018-03-021118Philadelphie Flyers-Montreal Canadiens-
154 - 2018-03-031128Phoenix Coyotes-Philadelphie Flyers-
155 - 2018-03-041145Philadelphie Flyers-Montreal Canadiens-
156 - 2018-03-051149Los Angeles Kings-Philadelphie Flyers-
159 - 2018-03-081165Philadelphie Flyers-Tampa Bay Lightning-
163 - 2018-03-121181Tampa Bay Lightning-Philadelphie Flyers-
168 - 2018-03-171201Calgary Flames-Philadelphie Flyers-
170 - 2018-03-191210Philadelphie Flyers-Buffalo Sabres-
171 - 2018-03-201221Philadelphie Flyers-San Jose Sharks-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance149,391123,38349,88997,43525,063
Attendance PCT75.45%74.78%75.59%73.81%75.95%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
8 13490 - 74.94% 846,805$27,944,549$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
37,478,885$ 49,150,000$ 35,683,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,150,000$ 37,044,189$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
6,774,436$ 42 286,994$ 12,053,748$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
12,100,526$ 49,150,000$ 8,467,469$ 3,141,379$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Adam TambelliniAGE:22PO:1OV:0
Brandon MashinterAGE:28PO:1OV:0
Bryce Van BrabantAGE:25PO:1OV:0
Henrik ZetterbergAGE:36PO:1OV:0
Colin WilsonAGE:27PO:1OV:0
Mikko RantanenAGE:20PO:1OV:0
Rene BourqueAGE:35PO:1OV:0
Rick NashAGE:32PO:1OV:0
Sergey KalininAGE:25PO:1OV:0
Colin McDonaldAGE:32PO:1OV:0
Chris ThorburnAGE:33PO:1OV:0
Phil KesselAGE:29PO:1OV:0
Justin AbdelkaderAGE:29PO:1OV:0
Paul BissonnetteAGE:31PO:1OV:0
Iiro PakarinenAGE:25PO:1OV:0
Jacob De La RoseAGE:21PO:1OV:0
Scott KosmachukAGE:22PO:1OV:0
Adam TambelliniAGE:22PO:1OV:0
Alex FriesenAGE:25PO:1OV:0
Henrik SedinAGE:36PO:1OV:0
Henrik ZetterbergAGE:36PO:1OV:0
Colin WilsonAGE:27PO:1OV:0
Mikko RantanenAGE:20PO:1OV:0
Sergey KalininAGE:25PO:1OV:0
*Marco RoyAGE:22PO:1OV:0
Landon FerraroAGE:25PO:1OV:0
Victor RaskAGE:23PO:1OV:0
William KarlssonAGE:24PO:1OV:0
Jacob De La RoseAGE:21PO:1OV:0
Mikko RantanenAGE:20PO:1OV:0
Rene BourqueAGE:35PO:1OV:0
Rick NashAGE:32PO:1OV:0
Sergey KalininAGE:25PO:1OV:0
Colin McDonaldAGE:32PO:1OV:0
Chris ThorburnAGE:33PO:1OV:0
Landon FerraroAGE:25PO:1OV:0
Phil KesselAGE:29PO:1OV:0
Justin AbdelkaderAGE:29PO:1OV:0
Paul BissonnetteAGE:31PO:1OV:0
Iiro PakarinenAGE:25PO:1OV:0
Scott KosmachukAGE:22PO:1OV:0

Défense #1Défense #2Gardien
Adam ComrieAGE:26PO:1OV:0
Chris CarlisleAGE:22PO:1OV:0
Andrew CampbellAGE:28PO:1OV:0
Andrew MacDonaldAGE:30PO:1OV:0
Mike GreenAGE:31PO:1OV:0
Patrick McNallyAGE:25PO:1OV:0
Matt TennysonAGE:26PO:1OV:0
Trevor DaleyAGE:33PO:1OV:0
Cody FransonAGE:29PO:1OV:0
Cameron GaunceAGE:26PO:1OV:0
*Yohann AuvituAGE:27PO:1OV:0
Jakub KindlAGE:29PO:1OV:0
Mattias BackmanAGE:24PO:1OV:0
*Brian CooperAGE:23PO:1OV:0
Nikita NesterovAGE:23PO:1OV:0
Radko GudasAGE:26PO:1OV:0
Griffin ReinhartAGE:22PO:1OV:0
Martin JonesAGE:27PO:1OV:0
Eddie LackAGE:29PO:1OV:0
Chad JohnsonAGE:30PO:1OV:0
Mike McKennaAGE:33PO:1OV:0

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Kirill GotovetsPhiladelphie Flyers
Mikhail SergachevPhiladelphie Flyers1210
Tyler BiggsPhiladelphie Flyers

Choix au Repêchage

Année R1R2R3R4R5R6
13Was Phi Phi
14Phi Phi MTL
15Nas Phi Phi Phi Phi Phi
16Phi Phi Phi Phi
17Phi Phi Phi Phi Phi Phi



[2018-02-22 23:52:23] - TRADE : From Calgary Flames to Philadelphie Flyers : Phil Kessel, Y:13-RND:2-Was.
[2018-02-22 23:52:23] - TRADE : From Philadelphie Flyers to Calgary Flames : Alexander Steen, Max Domi, Chris Kunitz.
[2017-11-26 11:02:55] - TRADE : From Nashville Predators to Philadelphie Flyers : Cameron Gaunce.
[2017-11-26 11:02:54] - Cameron Gaunce was added to Philadelphie Flyers.
[2017-10-31 19:43:49] - TRADE : From Philadelphie Flyers to Nashville Predators : Cameron Gaunce.
[2017-10-29 16:18:48] - TRADE : From Philadelphie Flyers to Nashville Predators : Y:16-RND:1-Phi, Y:16-RND:4-Phi.
[2017-10-29 16:18:48] - TRADE : From Nashville Predators to Philadelphie Flyers : Cody Franson, Y:15-RND:1-Nas.
[2017-10-29 16:18:48] - Cody Franson was added to Philadelphie Flyers.
[2017-09-18 12:44:14] - TRADE : From Philadelphie Flyers to Dallas Stars : Anthony Stolarz.
[2017-09-18 12:44:14] - TRADE : From Dallas Stars to Philadelphie Flyers : Griffin Reinhart.
[2017-09-18 12:44:13] - Griffin Reinhart was added to Philadelphie Flyers.
[2017-09-13 08:23:50] - Alexander Steen has been selected as assistant for Philadelphie Flyers.
[2017-09-13 08:23:50] - Unknown Player is no longer as assistant for Philadelphie Flyers.
[2017-09-13 08:23:50] - Henrik Sedin has been selected as assistant for Philadelphie Flyers.
[2017-09-13 08:23:50] - Unknown Player is no longer as assistant for Philadelphie Flyers.
[2017-09-13 08:23:50] - Henrik Zetterberg has been selected as captain for Philadelphie Flyers.
[2017-09-13 08:23:50] - Unknown Player is no longer captain for Philadelphie Flyers.
[2017-09-12 08:43:32] - TRADE : From Philadelphie Flyers to Buffalo Sabres : Mark Streit, Jesper Fast, Y:13-RND:1-Phi.
[2017-09-12 08:43:32] - TRADE : From Buffalo Sabres to Philadelphie Flyers : Mike Green.
[2017-09-12 08:43:31] - Mike Green was added to Philadelphie Flyers.
[2017-09-10 08:13:06] - TRADE : From Philadelphie Flyers to Phoenix Coyotes : Mark Stuart.
[2017-09-09 17:25:09] - TRADE : From Philadelphie Flyers to Calgary Flames : Y:13-RND:6-Phi.
[2017-09-09 17:24:11] - TRADE : From Phoenix Coyotes to Philadelphie Flyers : Mark Stuart.
[2017-09-09 17:24:11] - Mark Stuart was added to Philadelphie Flyers.



[2018-02-23 10:19:55] Successfully loaded Philadelphie Flyers lines done with STHS Client - 3.1.2.2
[2018-02-23 10:19:55] Jacob De La Rose of Philadelphie Flyers was sent to pro.
[2018-02-23 10:19:55] Rene Bourque of Philadelphie Flyers was sent to pro.
[2018-02-22 23:52:23] TRADE : From Calgary Flames to Philadelphie Flyers : Phil Kessel, Y:13-RND:2-Was.
[2018-02-22 23:52:23] TRADE : From Philadelphie Flyers to Calgary Flames : Alexander Steen, Max Domi, Chris Kunitz.
[2018-02-21 10:11:30] Trevor Daley from Philadelphie Flyers is back from Groin Injury.
[2018-02-21 10:11:25] Game 941 - Trevor Daley from Philadelphie Flyers is injured (Groin) and is out for 2 days.
[2018-02-18 21:32:29] Successfully loaded Philadelphie Flyers lines done with STHS Client - 3.1.2.2
[2018-02-18 21:32:29] Cameron Gaunce of Philadelphie Flyers was sent down to farm.
[2018-02-18 21:32:28] Philadelphie Flyers placed Cameron Gaunce on waivers.
[2018-02-15 09:09:14] Auto Lines Partial Function has been run for Philadelphie Flyers.
[2018-02-15 09:09:14] Auto Roster Partial Function has been run for Philadelphie Flyers.
[2018-02-14 09:12:51] Alexander Steen from Philadelphie Flyers is back from Sports Hernia Injury.
[2018-02-14 09:12:51] Last 30 Days Farm Star : 1 - Adam Helewka of Peoria Rivermen (20-10-30) / 2 - Rene Bourque of Adirondack Phantoms (14-10-24) / 3 - Jacob De La Rose of Adirondack Phantoms (7-20-27)
[2018-02-13 08:39:43] Last 7 Days Farm Star : 1 - Rene Bourque of Adirondack Phantoms (5-4-9) / 2 - Adam Helewka of Peoria Rivermen (4-4-8) / 3 - Mike Amadio of Peoria Rivermen (1-7-8)
[2018-02-13 08:39:35] Game 869 - Alexander Steen from Philadelphie Flyers is injured (Sports Hernia) and is out for 4 days.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
1265243203501170202-32331515012008896-8329170230182106-2460170304474115856533194863867762313194753854713092514015.94%2114180.57%31215229952.85%1224228353.61%552105352.42%157310971527472817405
Total Saison Régulière65243203501170202-32331515012008896-8329170230182106-2460170304474115856533194863867762313194753854713092514015.94%2114180.57%31215229952.85%1224228353.61%552105352.42%157310971527472817405