Philadelphia Flyers

GP: 60 | W: 25 | L: 29 | OTL: 6 | P: 56
GF: 184 | GA: 191 | PP%: 16.60% | PK%: 80.71%
DG: Kriss Cardenas | Morale : 30 | Moyenne d'Équipe : 76
Prochain matchs #932 vs Montreal Canadiens
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
1Mikko RantanenXX99.00715588958890899681959087558078142840
2William KarlssonXX99.00755594928290909585879887558180148840
3Henrik Zetterberg (C)XX100.00735589909191999185927192559596146830
4Dustin BrownX99.00985582879387869060858896558575122820
5Sam ReinhartXX100.00745598898086899068808590557570167800
6Thomas Vanek (A)XX100.00725587838989868758838575558892142780
7Patrick EavesXX100.00885588789292877950748075558582148750
8Radim VrbataX100.00665589838989887660746876558989124740
9Colin WilsonXXX100.00745580858282747781716972558175141720
10Tom PyattXXX100.00805575747873747260716785558179134710
11Sven AndrighettoXX100.00715572807775768060757171557272146710
12Tomas JurcoXX100.00765576837480807058646772557775180690
13Alexander Edler (A)X99.00945576849395879225856794558787139830
14Mike GreenX99.00825584898591979225857092558084145820
15Mikhail Sergachev (R)X100.00835582958277819525876991557876146810
16Cody FransonX100.00705584869080838825726286558480129770
17Griffin ReinhartX100.00625568798865746225606059557053185640
18Chris CarlisleX100.00555555605555725525555555555353125550
Rayé
1Ron HainseyX94.38835595748990908625766491558585114790
2Trevor van RiemsdykX96.07715592888181838325706391558078129770
MOYENNE D'ÉQUIPE99.2576558384848384835077728255807814376
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
1Al Montoya98.0079695984808077727579557977122750
2Anthony Stolarz100.0069798687686870646969556566119700
Rayé
1Martin Jones97.0088969187918589869188558686118860
MOYENNE D'ÉQUIPE98.337981798680787974787955777612077
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Vellucci80929184735868USA5151,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'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
1Dustin BrownPhiladelphia FlyersRW60323264106151641352415215913.28%21133022.18117185821210141845241.53%48400030.9602010835
2William KarlssonPhiladelphia FlyersC/LW6028305819235871442436416211.52%15135122.5246104722910171554050.14%175300100.8626100246
3Alexander EdlerPhiladelphia FlyersD5874249119551948410432526.73%91150125.882911502330000201110.00%000000.6500001233
4Sam ReinhartPhiladelphia FlyersC/RW5925224726221057881724611214.53%16116719.795813382150003656146.15%15600100.8100002434
5Mike GreenPhiladelphia FlyersD60936452420758310830588.33%81153825.647916592350112229010.00%000000.5900000131
6Mikhail SergachevPhiladelphia FlyersD60103343-15515877010420649.62%71127421.256713651860112179010.00%000000.6700001103
7Mikko RantanenPhiladelphia FlyersLW/RW56202141-725563821865114510.75%21126122.5363942210112112483146.77%12400000.6505100412
8Henrik ZetterbergPhiladelphia FlyersC/LW60132437-10251555158148311108.78%22123220.55214164319901122061251.55%157700000.6012111322
9Thomas VanekPhiladelphia FlyersLW/RW6013132683755744110316711.82%6103517.2545924157000141042.86%7000000.5000010201
10Trevor van RiemsdykPhiladelphia FlyersD57420243380555129112313.79%7279914.0300011000170100.00%000000.6000000011
11Radim VrbataPhiladelphia FlyersRW5771320-76029587625709.21%670412.370551270000000034.55%5500000.5700000001
12Patrick EavesPhiladelphia FlyersLW/RW6051116035566347120477.04%764110.70011441000081039.29%5600000.5000100013
13Ron HainseyPhiladelphia FlyersD5821315871154240377275.41%7599717.2021318850001156100.00%000000.3000120100
14Cody FransonPhiladelphia FlyersD270121201001317103120.00%2636713.6100015000024000.00%000000.6500000010
15Colin WilsonPhiladelphia FlyersC/LW/RW536410-316019554672013.04%14258.03000010000100050.68%44200010.4700000100
16Sven AndrighettoPhiladelphia FlyersLW/RW60448-417524364810278.33%14176.95000000000120045.71%3500000.3800001000
17Tom PyattPhiladelphia FlyersC/LW/RW59213-4804537239178.70%74287.26000170001540137.59%42300000.1400000000
18Alex BiegaPhantoms (Phi)D2011140321000.00%12412.130001500000000.00%000000.8200000000
19Tomas JurcoPhiladelphia FlyersLW/RW13101-4207362216.67%0765.8500000000000066.67%600000.2600000000
20Griffin ReinhartPhiladelphia FlyersD100117801711310.00%1013313.370000000008000.00%000000.1500000000
21Adam TambelliniPhantoms (Phi)C/LW10000100330110.00%0727.2900000000090021.62%7400000.0000000000
22Chris CarlislePhiladelphia FlyersD1000120200000.00%11515.050000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne10001883335214359880116412251764455117610.66%5511679816.8049751244642099347351832241047.82%525500240.62315556292232
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
1Martin JonesPhiladelphia Flyers56222360.8983.0430990415715380120.53315527420
2Al MontoyaPhiladelphia Flyers133600.9043.1647520252610011.0004847001
3Anthony StolarzPhiladelphia Flyers20000.9132.0758002230000.000006000
Stats d'équipe Total ou en Moyenne71252960.8993.0436332418418220130.632196060421


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 Link
Al MontoyaPhiladelphia FlyersG311985-02-12No203 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm750,000$750,000$194,915$No
Alexander EdlerPhiladelphia FlyersD301986-04-20No215 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Anthony StolarzPhiladelphia FlyersG221994-01-19No210 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm300,000$300,000$77,966$No
Chris CarlislePhiladelphia FlyersD221994-12-16No174 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm300,000$300,000$77,966$No
Cody FransonPhiladelphia FlyersD291987-08-08No213 Lbs6 ft5NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Colin WilsonPhiladelphia FlyersC/LW/RW271989-10-20No216 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Dustin BrownPhiladelphia FlyersRW321984-11-04No207 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Griffin ReinhartPhiladelphia FlyersD221994-01-24No217 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm300,000$300,000$77,966$No
Henrik ZetterbergPhiladelphia FlyersC/LW361980-10-09No195 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm10,000,000$10,000,000$2,598,870$No
Martin JonesPhiladelphia FlyersG271990-01-09No187 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$1,299,435$No
Mike GreenPhiladelphia FlyersD311985-10-11No207 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$909,605$No
Mikhail SergachevPhiladelphia FlyersD181998-06-25Yes216 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Mikko RantanenPhiladelphia FlyersLW/RW201996-10-29No211 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$233,898$No
Patrick EavesPhiladelphia FlyersLW/RW321984-04-30No200 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Radim VrbataPhiladelphia FlyersRW351981-06-12No194 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm1,000,000$1,000,000$259,887$No
Ron Hainsey (Sur la Masse Salariale)Philadelphia FlyersD351981-03-23No210 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm2,555,555$0$0$Yes
Sam ReinhartPhiladelphia FlyersC/RW211995-11-06No185 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm3,544,000$3,544,000$921,040$No
Sven AndrighettoPhiladelphia FlyersLW/RW231993-03-20No183 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm500,000$500,000$129,944$No
Thomas VanekPhiladelphia FlyersLW/RW321984-01-18No218 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$649,718$No
Tom PyattPhiladelphia FlyersC/LW/RW291987-02-14No188 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm500,000$500,000$129,944$No
Tomas JurcoPhiladelphia FlyersLW/RW241992-12-27No203 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$500,000$129,944$No
Trevor van RiemsdykPhiladelphia FlyersD251991-07-23No188 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$77,966$No
William KarlssonPhiladelphia FlyersC/LW241993-01-07No180 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$500,000$129,944$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2327.26201 Lbs6 ft22.352,102,155$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
48,349,555$40,705,555$20,655,555$6,955,555$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikko RantanenWilliam KarlssonDustin Brown40122
2Thomas VanekHenrik ZetterbergSam Reinhart30122
3Patrick EavesColin WilsonRadim Vrbata20122
4Sven AndrighettoTom PyattTomas Jurco10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerMike Green40122
2Mikhail SergachevCody Franson30122
3Griffin ReinhartChris Carlisle20122
4Alexander EdlerMike Green10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikko RantanenWilliam KarlssonDustin Brown60122
2Thomas VanekHenrik ZetterbergSam Reinhart40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerMike Green60122
2Mikhail SergachevCody Franson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1William KarlssonMikko Rantanen60122
2Henrik ZetterbergDustin Brown40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerMike Green60122
2Mikhail SergachevCody Franson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1William Karlsson60122Alexander EdlerMike Green60122
2Mikko Rantanen40122Mikhail SergachevCody Franson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1William KarlssonMikko Rantanen60122
2Henrik ZetterbergDustin Brown40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerMike Green60122
2Mikhail SergachevCody Franson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikko RantanenWilliam KarlssonDustin BrownAlexander EdlerMike Green
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikko RantanenWilliam KarlssonDustin BrownAlexander EdlerMike Green
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrick Eaves, Radim Vrbata, Colin WilsonPatrick Eaves, Radim VrbataColin Wilson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Griffin Reinhart, Chris Carlisle, Mikhail SergachevGriffin ReinhartChris Carlisle, Mikhail Sergachev
Tirs de Pénalité
William Karlsson, Mikko Rantanen, Henrik Zetterberg, Dustin Brown, Sam Reinhart
Gardien
#1 : Al Montoya, #2 : Anthony Stolarz


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 Ducks211000006421010000023-11100000041320.5006111700204063132822062232544700.00%9188.89%01088222548.90%1064212750.02%48395550.58%473246142613
2Boston Bruins31200000914-51010000037-42110000067-120.333918270034209632352907827225116318.75%11281.82%01088222548.90%1064212750.02%48395550.58%725168223819
3Buffalo Sabres21000010826000000000002100001082641.000813210124126518252054617842600.00%40100.00%01088222548.90%1064212750.02%48395550.58%523747142512
4Calgary Flames21100000963110000005051010000046-220.50091524014140712323250541314428225.00%60100.00%01088222548.90%1064212750.02%48395550.58%493343142613
5Carolina Hurricanes21100000541110000004041010000014-320.5005101501230046171613048201241700.00%6183.33%01088222548.90%1064212750.02%48395550.58%463147142612
6Chicago Blackhawks1010000024-21010000024-20000000000000.000246102000231454028810245240.00%50100.00%01088222548.90%1064212750.02%48395550.58%2014267126
7Colorado Avalanche2020000037-41010000013-21010000024-200.000369001200501520150542622528112.50%10370.00%01088222548.90%1064212750.02%48395550.58%453048142512
8Columbus Blue Jackets300000121213-120000011101001000000123-140.667122133004342107353631147923516212325.00%3233.33%01088222548.90%1064212750.02%48395550.58%866268234020
9Dallas Stars1010000012-11010000012-10000000000000.00011200010028612100327815200.00%40100.00%01088222548.90%1064212750.02%48395550.58%2114287104
10Detroit Red Wings3210000012102211000009811100000032140.66712223400336078282624011638385310110.00%18477.78%01088222548.90%1064212750.02%48395550.58%664576223617
11Edmonton Oilers20200000410-61010000034-11010000016-500.000471100040046424180812414435360.00%6183.33%01088222548.90%1064212750.02%48395550.58%463146132713
12Florida Panthers3110010011101211000008621000010034-130.5001119301053301354140522952626501317.69%13284.62%01088222548.90%1064212750.02%48395550.58%795666223418
13Los Angeles Kings220000001293110000007521100000054141.0001220320045306719192906017123813430.77%6266.67%01088222548.90%1064212750.02%48395550.58%483346142512
14Minnesota Wild20200000510-51010000026-41010000034-100.0005101500032061182815078202024400.00%9455.56%01088222548.90%1064212750.02%48395550.58%422852152411
15Montreal Canadiens1000000123-1000000000001000000123-110.50024600110029910943281424200.00%70100.00%01088222548.90%1064212750.02%48395550.58%2215287136
16Nashville Predators21100000550110000003121010000024-220.500581300104058212116046151638700.00%8187.50%11088222548.90%1064212750.02%48395550.58%432850142512
17New Jersey Devils32000001862220000007431000000112-150.833815230133209033342259830648119315.79%23291.30%01088222548.90%1064212750.02%48395550.58%704675233819
18New York Islanders1010000013-21010000013-20000000000000.000123001000401314130277624400.00%3166.67%01088222548.90%1064212750.02%48395550.58%2721207115
19New York Rangers31200000810-21010000034-12110000056-120.333816240051209140252608032366111327.27%16287.50%01088222548.90%1064212750.02%48395550.58%734969223719
20Ottawa Senators21100000651110000004131010000024-220.500610161021305815192406418184410220.00%8275.00%11088222548.90%1064212750.02%48395550.58%483348142312
21Phoenix Coyotes21100000660110000005321010000013-220.50069150023104620141207023393510220.00%11554.55%01088222548.90%1064212750.02%48395550.58%473348142311
22Pittsburgh Penguins2020000037-41010000012-11010000025-300.000358000120511521150651513454125.00%3166.67%01088222548.90%1064212750.02%48395550.58%493444142513
23San Jose Sharks2010100079-21010000025-31000100054120.50071421002131582115175892132416116.67%11190.91%01088222548.90%1064212750.02%48395550.58%473152132412
24St. Louis Blues1010000013-21010000013-20000000000000.00012300010022598039171021200.00%5180.00%01088222548.90%1064212750.02%48395550.58%2215246126
25Tampa Bay Lightning32100000660220000005321010000013-240.667611170032109440252908124187513215.38%9277.78%01088222548.90%1064212750.02%48395550.58%745268223618
26Toronto Maple Leafs11000000514000000000001100000051421.000591400203038101117020423183266.67%40100.00%01088222548.90%1064212750.02%48395550.58%2417217137
Total60222901224184191-7311316000119997229913012138594-9560.467184329513346461565183459363259137182556166912132353916.60%2544980.71%31088222548.90%1064212750.02%48395550.58%14489981432444757377
28Vancouver Canucks2010010057-21010000023-11000010034-110.250591400221040111215256224136500.00%12466.67%01088222548.90%1064212750.02%48395550.58%432751172713
29Vegas Golden Knights211000001082110000006331010000045-120.50010192900523079262627062172241600.00%9277.78%01088222548.90%1064212750.02%48395550.58%473247152512
30Washington Capitals11000000523000000000001100000052321.000571200131036915120421015184125.00%50100.00%11088222548.90%1064212750.02%48395550.58%2214257126
31Winnipeg Jets211000007521010000024-21100000051420.50071219002410682224220439203013215.38%10370.00%01088222548.90%1064212750.02%48395550.58%564039132412
_Since Last GM Reset60222901224184191-7311316000119997229913012138594-9560.467184329513346461565183459363259137182556166912132353916.60%2544980.71%31088222548.90%1064212750.02%48395550.58%14489981432444757377
_Vs Conference33141200124101965168600011554871766001134648-2370.5611011822832337323041054355352336309712993646891342216.42%1332184.21%21088222548.90%1064212750.02%48395550.58%817570777247416208
_Vs Division1556000134245-38330001126233723000021622-6150.500427611802161411246116216113219439137197332611118.03%59984.75%11088222548.90%1064212750.02%48395550.58%37526035111219296

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6056W318432951318341825561669121334
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6022291224184191
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31131600119997
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2991312138594
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2353916.60%2544980.71%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
593632591376461565
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
1088222548.90%1064212750.02%48395550.58%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
14489981432444757377


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
2 - 2018-09-0614Philadelphia Flyers4Vegas Golden Knights5LSommaire du Match
4 - 2018-09-0820Philadelphia Flyers2Colorado Avalanche4LSommaire du Match
7 - 2018-09-1140San Jose Sharks5Philadelphia Flyers2LSommaire du Match
8 - 2018-09-1243Philadelphia Flyers2Ottawa Senators4LSommaire du Match
10 - 2018-09-1468Vegas Golden Knights3Philadelphia Flyers6WSommaire du Match
13 - 2018-09-1781Florida Panthers4Philadelphia Flyers2LSommaire du Match
15 - 2018-09-1990Philadelphia Flyers2Columbus Blue Jackets3LXXSommaire du Match
17 - 2018-09-21109New Jersey Devils0Philadelphia Flyers2WR3Sommaire du Match
19 - 2018-09-23119Colorado Avalanche3Philadelphia Flyers1LSommaire du Match
22 - 2018-09-26135Philadelphia Flyers1Boston Bruins5LSommaire du Match
24 - 2018-09-28155New York Islanders3Philadelphia Flyers1LSommaire du Match
27 - 2018-10-01167Philadelphia Flyers4Anaheim Ducks1WSommaire du Match
29 - 2018-10-03184Philadelphia Flyers5Los Angeles Kings4WSommaire du Match
31 - 2018-10-05203Philadelphia Flyers5San Jose Sharks4WXSommaire du Match
33 - 2018-10-07210Philadelphia Flyers1Phoenix Coyotes3LSommaire du Match
36 - 2018-10-10234Phoenix Coyotes3Philadelphia Flyers5WSommaire du Match
38 - 2018-10-12250Chicago Blackhawks4Philadelphia Flyers2LSommaire du Match
41 - 2018-10-15271Florida Panthers2Philadelphia Flyers6WSommaire du Match
43 - 2018-10-17283New Jersey Devils4Philadelphia Flyers5WR3Sommaire du Match
45 - 2018-10-19300Tampa Bay Lightning1Philadelphia Flyers2WSommaire du Match
49 - 2018-10-23320Philadelphia Flyers5Buffalo Sabres0WSommaire du Match
50 - 2018-10-24341New York Rangers4Philadelphia Flyers3LSommaire du Match
51 - 2018-10-25356Philadelphia Flyers5Toronto Maple Leafs1WSommaire du Match
54 - 2018-10-28373Ottawa Senators1Philadelphia Flyers4WSommaire du Match
58 - 2018-11-01405Philadelphia Flyers2Pittsburgh Penguins5LSommaire du Match
63 - 2018-11-06434Columbus Blue Jackets5Philadelphia Flyers4LXXSommaire du Match
65 - 2018-11-08446Philadelphia Flyers3Buffalo Sabres2WXXSommaire du Match
66 - 2018-11-09460Philadelphia Flyers5Winnipeg Jets1WSommaire du Match
69 - 2018-11-12476Philadelphia Flyers4Calgary Flames6LSommaire du Match
71 - 2018-11-14490Philadelphia Flyers1Edmonton Oilers6LSommaire du Match
72 - 2018-11-15503Philadelphia Flyers3Vancouver Canucks4LXSommaire du Match
75 - 2018-11-18526Detroit Red Wings6Philadelphia Flyers3LSommaire du Match
77 - 2018-11-20536Nashville Predators1Philadelphia Flyers3WSommaire du Match
79 - 2018-11-22554Columbus Blue Jackets5Philadelphia Flyers6WXXSommaire du Match
80 - 2018-11-23563Philadelphia Flyers3New York Rangers2WSommaire du Match
81 - 2018-11-24576Philadelphia Flyers1Tampa Bay Lightning3LSommaire du Match
83 - 2018-11-26589Philadelphia Flyers3Florida Panthers4LXSommaire du Match
85 - 2018-11-28601Philadelphia Flyers1Carolina Hurricanes4LSommaire du Match
86 - 2018-11-29613Philadelphia Flyers2Nashville Predators4LSommaire du Match
88 - 2018-12-01626Carolina Hurricanes0Philadelphia Flyers4WSommaire du Match
90 - 2018-12-03641Calgary Flames0Philadelphia Flyers5WSommaire du Match
92 - 2018-12-05654St. Louis Blues3Philadelphia Flyers1LSommaire du Match
93 - 2018-12-06667Philadelphia Flyers5Washington Capitals2WSommaire du Match
95 - 2018-12-08678Dallas Stars2Philadelphia Flyers1LSommaire du Match
97 - 2018-12-10694Philadelphia Flyers1New Jersey Devils2LXXR3Sommaire du Match
99 - 2018-12-12708Minnesota Wild6Philadelphia Flyers2LSommaire du Match
101 - 2018-12-14724Boston Bruins7Philadelphia Flyers3LSommaire du Match
104 - 2018-12-17745Philadelphia Flyers2Montreal Canadiens3LXXSommaire du Match
109 - 2018-12-22771Winnipeg Jets4Philadelphia Flyers2LSommaire du Match
110 - 2018-12-23775Philadelphia Flyers2New York Rangers4LSommaire du Match
112 - 2018-12-25778Philadelphia Flyers5Boston Bruins2WSommaire du Match
114 - 2018-12-27798Edmonton Oilers4Philadelphia Flyers3LSommaire du Match
116 - 2018-12-29807Vancouver Canucks3Philadelphia Flyers2LSommaire du Match
119 - 2019-01-01834Los Angeles Kings5Philadelphia Flyers7WSommaire du Match
121 - 2019-01-03846Anaheim Ducks3Philadelphia Flyers2LSommaire du Match
123 - 2019-01-05860Pittsburgh Penguins2Philadelphia Flyers1LSommaire du Match
124 - 2019-01-06868Philadelphia Flyers3Minnesota Wild4LSommaire du Match
128 - 2019-01-10898Detroit Red Wings2Philadelphia Flyers6WSommaire du Match
129 - 2019-01-11905Philadelphia Flyers3Detroit Red Wings2WSommaire du Match
131 - 2019-01-13923Tampa Bay Lightning2Philadelphia Flyers3WSommaire du Match
133 - 2019-01-15932Philadelphia Flyers-Montreal Canadiens-
135 - 2019-01-17952Pittsburgh Penguins-Philadelphia Flyers-
138 - 2019-01-20974Buffalo Sabres-Philadelphia Flyers-
140 - 2019-01-22986Philadelphia Flyers-Columbus Blue Jackets-
141 - 2019-01-23994Philadelphia Flyers-New Jersey Devils-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-251013Philadelphia Flyers-New York Islanders-
146 - 2019-01-281030Washington Capitals-Philadelphia Flyers-
149 - 2019-01-311055Philadelphia Flyers-New York Islanders-
151 - 2019-02-021070Ottawa Senators-Philadelphia Flyers-
154 - 2019-02-051090Washington Capitals-Philadelphia Flyers-
155 - 2019-02-061097Philadelphia Flyers-Toronto Maple Leafs-
157 - 2019-02-081116Philadelphia Flyers-Pittsburgh Penguins-
159 - 2019-02-101130Montreal Canadiens-Philadelphia Flyers-
161 - 2019-02-121138Philadelphia Flyers-Chicago Blackhawks-
163 - 2019-02-141158New York Islanders-Philadelphia Flyers-
164 - 2019-02-151168Philadelphia Flyers-Washington Capitals-
167 - 2019-02-181188Toronto Maple Leafs-Philadelphia Flyers-
170 - 2019-02-211204Philadelphia Flyers-Carolina Hurricanes-
171 - 2019-02-221218New York Rangers-Philadelphia Flyers-
173 - 2019-02-241233Philadelphia Flyers-Dallas Stars-
175 - 2019-02-261250Philadelphia Flyers-St. Louis Blues-
177 - 2019-02-281267Carolina Hurricanes-Philadelphia Flyers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance172,604146,31758,582115,35229,238
Attendance PCT92.80%94.40%94.49%93.03%94.32%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
10 16842 - 93.57% 1,052,258$32,619,986$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
37,033,854$ 48,349,555$ 26,102,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
45,794,000$ 36,219,188$ 0$ 22 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
10,522,576$ 46 278,811$ 12,825,306$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
12,909,411$ 45,794,000$ 3,686,834$ 1,299,999$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Mikko RantanenAGE:20PO:1OV:84
William KarlssonAGE:24PO:1OV:84
Henrik ZetterbergAGE:36PO:1OV:83
Thomas VanekAGE:32PO:1OV:78
Patrick EavesAGE:32PO:1OV:75
Colin WilsonAGE:27PO:1OV:72
Tom PyattAGE:29PO:1OV:71
Sven AndrighettoAGE:23PO:1OV:71
Tomas JurcoAGE:24PO:1OV:69
Chris ThorburnAGE:33PO:1OV:66
David BoothAGE:32PO:1OV:65
Iiro PakarinenAGE:25PO:1OV:65
Adam TambelliniAGE:22PO:1OV:59
Bryce Van BrabantAGE:25PO:1OV:58
Alex FriesenAGE:25PO:1OV:57
Paul BissonnetteAGE:31PO:1OV:57
Brandon MashinterAGE:28PO:1OV:55
Rene BourqueAGE:35PO:1OV:54
Sergey KalininAGE:25PO:1OV:53
William KarlssonAGE:24PO:1OV:84
Henrik ZetterbergAGE:36PO:1OV:83
Sam ReinhartAGE:21PO:1OV:80
Colin WilsonAGE:27PO:1OV:72
Tom PyattAGE:29PO:1OV:71
Landon FerraroAGE:25PO:1OV:60
Adam TambelliniAGE:22PO:1OV:59
Bryce Van BrabantAGE:25PO:1OV:58
Alex FriesenAGE:25PO:1OV:57
Marco RoyAGE:22PO:1OV:55
Sergey KalininAGE:25PO:1OV:53
Mikko RantanenAGE:20PO:1OV:84
Dustin BrownAGE:32PO:1OV:82
Sam ReinhartAGE:21PO:1OV:80
Thomas VanekAGE:32PO:1OV:78
Patrick EavesAGE:32PO:1OV:75
Radim VrbataAGE:35PO:1OV:74
Colin WilsonAGE:27PO:1OV:72
Tom PyattAGE:29PO:1OV:71
Sven AndrighettoAGE:23PO:1OV:71
Tomas JurcoAGE:24PO:1OV:69
Chris ThorburnAGE:33PO:1OV:66
David BoothAGE:32PO:1OV:65
Iiro PakarinenAGE:25PO:1OV:65
Tomas HykaAGE:23PO:1OV:61
Mike BlundenAGE:30PO:1OV:61
Scott KosmachukAGE:22PO:1OV:56
Rene BourqueAGE:35PO:1OV:54
Colin McDonaldAGE:32PO:1OV:54
Sergey KalininAGE:25PO:1OV:53

Défense #1Défense #2Gardien
Alexander EdlerAGE:30PO:1OV:83
Mike GreenAGE:31PO:1OV:82
*Mikhail SergachevAGE:18PO:1OV:81
Ron HainseyAGE:35PO:1OV:79
Cody FransonAGE:29PO:1OV:77
Trevor van RiemsdykAGE:25PO:1OV:77
Robert BortuzzoAGE:27PO:1OV:74
Alex BiegaAGE:28PO:1OV:70
*Oscar FantenbergAGE:25PO:1OV:68
Yohann AuvituAGE:27PO:1OV:67
Matt TennysonAGE:26PO:1OV:66
Griffin ReinhartAGE:22PO:1OV:64
Clayton StonerAGE:31PO:1OV:58
Jakub KindlAGE:29PO:1OV:57
Cameron GaunceAGE:26PO:1OV:56
Chris CarlisleAGE:22PO:1OV:55
Andrew CampbellAGE:28PO:1OV:54
Mattias BackmanAGE:24PO:1OV:54
*Kirill GotovetsAGE:25PO:1OV:54
Adam ComrieAGE:26PO:1OV:53
Patrick McNallyAGE:25PO:1OV:53
*Brian CooperAGE:23PO:1OV:53
Martin JonesAGE:27PO:1OV:86
Al MontoyaAGE:31PO:1OV:75
Eddie LackAGE:29PO:1OV:72
Niklas SvedbergAGE:27PO:1OV:70
Anthony StolarzAGE:22PO:1OV:70
Mike McKennaAGE:33PO:1OV:67

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
Cameron CrottyPhiladelphia Flyers13137
Nick HenryPhiladelphia Flyers13105

Choix au Repêchage

Année R1R2R3R4R5R6
14Phi
15Phi Ana
16Ana Phi
17Phi Phi Phi Phi Phi Pit
18Phi Phi Phi Phi Phi Phi



[2019-02-08 10:31:35] - TRADE : From Philadelphia Flyers to Anaheim Ducks : Phil Kessel (85), Andrew MacDonald (77), Scott Walford (P).
[2019-02-08 10:31:35] - TRADE : From Anaheim Ducks to Philadelphia Flyers : Sam Reinhart (80), Cody Franson (77), Y:15-RND:1-Ana.
[2019-01-30 09:38:58] - TRADE : From Philadelphia Flyers to Florida Panthers : Tyler Ennis (70).
[2019-01-30 09:38:58] - TRADE : From Florida Panthers to Philadelphia Flyers : Radim Vrbata (74).
[2019-01-17 17:53:25] - TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:15-RND:5-Phi, Y:16-RND:5-Phi.
[2019-01-17 17:53:25] - TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Tom Pyatt (71), Y:17-RND:6-Pit.
[2019-01-17 17:51:08] - TRADE : From Vegas Golden Knights to Philadelphia Flyers : Dustin Brown (82).
[2019-01-17 17:51:08] - TRADE : From Philadelphia Flyers to Vegas Golden Knights : Corey Perry (79), Victor Rask (75), Y:15-RND:2-Phi.
[2019-01-16 14:31:53] - TRADE : From Philadelphia Flyers to Anaheim Ducks : Rick Nash (78).
[2019-01-16 14:31:53] - TRADE : From Anaheim Ducks to Philadelphia Flyers : Y:16-RND:3-Ana.
[2018-10-03 14:37:57] - TRADE : From Toronto Maple Leafs to Philadelphia Flyers : Al Montoya, Alex Biega.
[2018-10-03 14:37:57] - TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Chad Johnson.
[2018-10-03 14:34:43] - Alexander Edler has been selected as assistant for Philadelphia Flyers.
[2018-10-03 14:34:43] - Unknown Player is no longer as assistant for Philadelphia Flyers.
[2018-10-03 14:34:43] - Thomas Vanek has been selected as assistant for Philadelphia Flyers.
[2018-10-03 14:34:43] - Unknown Player is no longer as assistant for Philadelphia Flyers.
[2018-09-29 10:51:13] - Team Name Change : Adirondack Phantoms changed name to Phantoms
[2018-09-29 10:36:33] - Team Name Change : Philadelphie Flyers changed name to Philadelphia Flyers
[2018-09-23 12:49:25] - TRADE : From Philadelphie Flyers to Boston Bruins : Y:16-RND:2-Phi.
[2018-09-23 12:49:25] - TRADE : From Boston Bruins to Philadelphie Flyers : Rick Nash.
[2018-09-05 22:31:05] - Ron Hainsey was added to Philadelphie Flyers.
[2018-09-03 12:38:13] - TRADE : From New York Islanders to Philadelphie Flyers : Corey Perry, Sven Andrighetto.
[2018-09-03 12:38:13] - TRADE : From Philadelphie Flyers to New York Islanders : Loui Eriksson, Y:15-RND:1-Nas.
[2018-09-02 11:49:25] - TRADE : From Philadelphie Flyers to Chicago Blackhawks : Henrik Sedin.
[2018-08-29 16:16:40] - Oscar Fantenberg was added to Philadelphie Flyers.



[2019-02-15 15:22:26] Trevor van Riemsdyk from Philadelphia Flyers is back from Left Leg Injury.
[2019-02-14 16:37:29] Martin Jones from Philadelphia Flyers is back from Exhaustion.
[2019-02-14 16:36:33] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-02-14 16:36:33] Anthony Stolarz of Philadelphia Flyers was sent to pro.
[2019-02-14 16:36:33] Chris Carlisle of Philadelphia Flyers was sent to pro.
[2019-02-13 09:49:42] Tom Pyatt from Philadelphia Flyers is back from Sprained Left Knee Injury.
[2019-02-13 09:49:41] Martin Jones from Philadelphia Flyers injured (Exhaustion)
[2019-02-13 09:49:41] Game 905 - Tom Pyatt from Philadelphia Flyers is injured (Sprained Left Knee) and is out for 2 days.
[2019-02-13 09:49:41] Game 905 - Ron Hainsey from Philadelphia Flyers is injured (Bruised Left Foot) and is out for 6 days.
[2019-02-09 10:19:22] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-02-09 10:19:22] Griffin Reinhart of Philadelphia Flyers was sent to pro.
[2019-02-08 10:31:35] TRADE : From Philadelphia Flyers to Anaheim Ducks : Phil Kessel (85), Andrew MacDonald (77), Scott Walford (P).
[2019-02-08 10:31:35] TRADE : From Anaheim Ducks to Philadelphia Flyers : Sam Reinhart (80), Cody Franson (77), Y:15-RND:1-Ana.
[2019-02-08 10:29:07] Game 868 - Trevor van Riemsdyk from Philadelphia Flyers is injured (Left Leg) and is out for 1 week.
[2019-02-07 10:16:53] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-02-03 22:03:56] Dustin Brown from Philadelphia Flyers has scored a Hat Trick!
[2019-02-01 08:51:44] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-01-31 10:13:03] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2019-01-30 09:38:58] TRADE : From Philadelphia Flyers to Florida Panthers : Tyler Ennis (70).
[2019-01-30 09:38:58] TRADE : From Florida Panthers to Philadelphia Flyers : Radim Vrbata (74).
[2019-01-25 15:38:51] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-01-25 15:38:51] Anthony Stolarz of Philadelphia Flyers was sent to farm.
[2019-01-18 19:21:07] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-01-18 19:21:07] Tomas Jurco of Philadelphia Flyers was sent to pro.
[2019-01-18 19:21:07] Adam Tambellini of Philadelphia Flyers was sent down to farm.
[2019-01-17 17:53:25] TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:15-RND:5-Phi, Y:16-RND:5-Phi.
[2019-01-17 17:53:25] TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Tom Pyatt (71), Y:17-RND:6-Pit.
[2019-01-17 17:51:08] TRADE : From Vegas Golden Knights to Philadelphia Flyers : Dustin Brown (82).
[2019-01-17 17:51:08] TRADE : From Philadelphia Flyers to Vegas Golden Knights : Corey Perry (79), Victor Rask (75), Y:15-RND:2-Phi.
[2019-01-16 14:31:53] TRADE : From Philadelphia Flyers to Anaheim Ducks : Rick Nash (78).
[2019-01-16 14:31:53] TRADE : From Anaheim Ducks to Philadelphia Flyers : Y:16-RND:3-Ana.
[2019-01-16 14:29:38] Al Montoya from Philadelphia Flyers is back from Sprained Left Finger Injury.
[2019-01-15 16:16:05] Philadelphia Flyers are expected to be over the salary cap by 5 555 $!



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
1360222901224184191-7311316000119997229913012138594-956184329513346461565183459363259137182556166912132353916.60%2544980.71%31088222548.90%1064212750.02%48395550.58%14489981432444757377
Total Saison Régulière60222901224184191-7311316000119997229913012138594-956184329513346461565183459363259137182556166912132353916.60%2544980.71%31088222548.90%1064212750.02%48395550.58%14489981432444757377