Philadelphia Flyers

GP: 50 | W: 22 | L: 23 | OTL: 5 | P: 49
GF: 117 | GA: 129 | PP%: 14.29% | PK%: 86.03%
DG: Kriss Cardenas | Morale : 41 | Moyenne d'Équipe : 70
Prochain matchs #786 vs Pittsburgh Penguins
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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 RantanenX100.005843778589878884628781668265678557760
2David KrejciXX100.005637887672839474808273627182774053720
3Alexander SteenXX100.006537887377817872567467807085754257710
4Jaden SchwartzX100.006837857768838276587974717573687153710
5Sam ReinhartXX100.005837877578859574637775587667658853700
6Valtteri FilppulaX100.005337886874778566806967796885793240690
7Colin WilsonXXX100.006336926782747866626965586478726943650
8Tomas JurcoXX100.006238856478817563656261646673677163640
9Charles HudonXX100.008440786571726964706863627167656653640
10Victor RaskX100.006836907180716269786664576671667143640
11Jacob de la RoseXX100.007337826587697363786257715867647543640
12Sven AndrighettoXX100.005937896668697765536863616471675819630
13Ron HainseyX100.007642876584869463307461855288783653740
14Calvin de HaanX100.008637876276848761307454834875697044710
15Marc StaalX100.007439836189859259306856825180725254710
16Mikhail SergachevX100.007839817386838872307768625861638653700
17Kevin ShattenkirkX100.007237787476858673307764586377716839690
18Trevor van RiemsdykX100.005636896679789164307157764875693653680
Rayé
1Christian FolinX100.009046796184827359306956754975683656690
MOYENNE D'ÉQUIPE100.00683885697980826853726569637470614969
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 Jones100.00949593849392949392949377834043880
2Anthony Stolarz100.00788179947776787776787769737247770
Rayé
MOYENNE D'ÉQUIPE100.0086888689858486858486857378564583
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rod Brind'Amour84918485726777CAN4851,000,000$


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'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
1Mikko RantanenPhiladelphia FlyersRW50162036-7301078123184581168.70%15117023.4057123917800021812239.43%45900000.6214101340
2David KrejciPhiladelphia FlyersC/LW50122133-820028121110247710.91%3114822.963693117800001524151.52%127900000.5714000222
3Jaden SchwartzPhiladelphia FlyersLW50151833-73201121081454411310.34%13109521.9137102417800021092143.15%14600100.6012000432
4Alexander SteenPhiladelphia FlyersLW/RW5211162711004492149511287.38%14100419.3237103415600021141042.59%5400110.5412000230
5Calvin de HaanPhiladelphia FlyersD46322251520102443318369.09%7194320.5125715103000092100.00%000000.5300000121
6Ron HainseyPhiladelphia FlyersD5012324-54410109696524431.54%92125825.17044261800000144000.00%000000.3800110021
7Sam ReinhartPhiladelphia FlyersC/RW5012921040208497234912.37%583616.7423516162000061046.90%98500000.5001000203
8Mikhail SergachevPhiladelphia FlyersD5061521-8420904651174011.76%42109121.82358321530000122000.00%000000.3800000000
9Marc StaalPhiladelphia FlyersD5061319-1149593524792412.77%59103920.79347281690000138200.00%000000.3700001012
10Valtteri FilppulaPhiladelphia FlyersC505813-517522817727586.49%856611.33000820000000049.59%60500000.4600001011
11Kevin ShattenkirkPhiladelphia FlyersD46371003408340157720.00%2978917.16101227000030000.00%000000.2500000101
12Trevor van RiemsdykPhiladelphia FlyersD50189-5402046286123.57%4776015.211121353000176000.00%000000.2400000000
13Colin WilsonPhiladelphia FlyersC/LW/RW50437-88051224611418.70%257011.42000250000122028.57%3500000.2500000101
14Victor RaskPhiladelphia FlyersC5033600011413510218.57%33476.9500017000001051.70%35200000.3500000000
15Jacob de la RosePhiladelphia FlyersC/LW5033604018232882310.71%23176.3600000000000063.27%4900000.3800000100
16Charles HudonPhiladelphia FlyersLW/RW5032511205822347168.82%33186.3600000000001057.89%1900000.3100000100
17Sven AndrighettoPhiladelphia FlyersLW/RW100220208780100.00%111311.3600000000000071.43%700000.3500000000
18Christian FolinPhiladelphia FlyersD801101551885250.00%1414017.580000000006000.00%000000.1400010000
19Tomas JurcoPhiladelphia FlyersLW/RW4000-240303140.00%04110.30000000000000100.00%300000.0000000000
Stats d'équipe Total ou en Moyenne816104194298-6338335968102911603478238.97%4231355316.6126497527115750007119017448.33%399300210.44413223181814
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 Flyers43201750.9192.3825470310112460110.71414428523
2Anthony StolarzPhiladelphia Flyers92600.8973.1647500252420000.0000842001
Stats d'équipe Total ou en Moyenne52222350.9152.5030230312614880110.714145050524


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander SteenPhiladelphia FlyersLW/RW351984-03-01No211 Lbs6 ft0NoNoNo1Pro & Farm3,500,000$3,500,000$1,366,310$NoLien
Anthony StolarzPhiladelphia FlyersG251994-01-20No210 Lbs6 ft6NoNoNo1Pro & Farm750,000$750,000$292,781$NoLien
Calvin de HaanPhiladelphia FlyersD281991-05-09No195 Lbs6 ft1NoNoNo2Pro & Farm2,500,000$2,500,000$975,936$No2,500,000$Lien
Charles HudonPhiladelphia FlyersLW/RW251994-06-23No196 Lbs5 ft10NoNoNo2Pro & Farm500,000$500,000$195,187$No500,000$Lien
Christian FolinPhiladelphia FlyersD281991-02-09No204 Lbs6 ft3NoNoNo1Pro & Farm1,850,000$1,850,000$722,193$NoLien
Colin WilsonPhiladelphia FlyersC/LW/RW291989-10-20No221 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$1,000,000$390,374$No1,000,000$1,000,000$Lien
David KrejciPhiladelphia FlyersC/LW331986-04-28No188 Lbs6 ft0NoNoNo1Pro & Farm3,500,000$3,500,000$1,366,310$NoLien
Jacob de la RosePhiladelphia FlyersC/LW241995-05-20No216 Lbs6 ft3NoNoNo4Pro & Farm300,000$300,000$117,112$No300,000$300,000$300,000$Lien
Jaden SchwartzPhiladelphia FlyersLW271992-06-25No190 Lbs5 ft10NoNoNo3Pro & Farm3,500,000$3,500,000$1,366,310$No3,500,000$3,500,000$Lien
Kevin ShattenkirkPhiladelphia FlyersD301989-01-29No206 Lbs6 ft0NoNoNo2Pro & Farm5,000,000$5,000,000$1,951,872$No5,000,000$Lien
Marc StaalPhiladelphia FlyersD321987-01-13No213 Lbs6 ft4NoNoNo1Pro & Farm2,500,000$2,500,000$975,936$NoLien
Martin JonesPhiladelphia FlyersG291990-01-10No190 Lbs6 ft4NoNoNo2Pro & Farm5,000,000$5,000,000$1,951,872$No5,000,000$Lien
Mikhail SergachevPhiladelphia FlyersD211998-06-25No215 Lbs6 ft3NoNoNo3Pro & Farm900,000$900,000$351,337$No900,000$900,000$Lien
Mikko RantanenPhiladelphia FlyersRW221996-10-29No215 Lbs6 ft4NoNoNo2Pro & Farm900,000$900,000$351,337$No900,000$Lien
Ron HainseyPhiladelphia FlyersD381981-03-24No205 Lbs6 ft3NoNoNo3Pro & Farm2,555,555$2,555,555$997,623$No2,555,555$2,555,555$Lien
Sam ReinhartPhiladelphia FlyersC/RW231995-11-06No192 Lbs6 ft1NoNoNo1Pro & Farm2,500,000$2,500,000$975,936$NoLien
Sven AndrighettoPhiladelphia FlyersLW/RW261993-03-21No188 Lbs5 ft10NoNoNo2Pro & Farm500,000$500,000$195,187$No500,000$Lien
Tomas JurcoPhiladelphia FlyersLW/RW261992-12-28No188 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$195,187$No500,000$Lien
Trevor van RiemsdykPhiladelphia FlyersD271991-07-24No192 Lbs6 ft2NoNoNo3Pro & Farm2,500,000$2,500,000$975,936$No2,500,000$2,500,000$Lien
Valtteri FilppulaPhiladelphia FlyersC351984-03-20No196 Lbs6 ft0NoNoNo2Pro & Farm3,222,000$3,222,000$1,257,786$No3,222,000$Lien
Victor RaskPhiladelphia FlyersC261993-03-01No200 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$195,187$No500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2128.05201 Lbs6 ft22.052,094,169$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
43,977,555$29,377,555$10,755,555$300,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jaden SchwartzDavid KrejciMikko Rantanen40122
2Alexander SteenSam ReinhartColin Wilson30122
3Sven AndrighettoValtteri FilppulaTomas Jurco20122
4Jacob de la RoseVictor RaskCharles Hudon10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyKevin Shattenkirk40122
2Calvin de HaanMikhail Sergachev30122
3Trevor van RiemsdykMarc Staal20122
4Ron HainseyMarc Staal10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jaden SchwartzDavid KrejciMikko Rantanen60122
2Alexander SteenSam ReinhartValtteri Filppula40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyKevin Shattenkirk60122
2Trevor van RiemsdykMikhail Sergachev40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mikko RantanenJaden Schwartz60122
2David KrejciAlexander Steen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyMarc Staal60122
2Trevor van RiemsdykMikhail Sergachev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mikko Rantanen60122Ron HainseyMarc Staal60122
2Jaden Schwartz40122Trevor van RiemsdykMikhail Sergachev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mikko RantanenJaden Schwartz60122
2David KrejciAlexander Steen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyMarc Staal60122
2Trevor van RiemsdykMikhail Sergachev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jaden SchwartzDavid KrejciMikko RantanenRon HainseyMarc Staal
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jaden SchwartzDavid KrejciMikko RantanenRon HainseyMarc Staal
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Victor Rask, Valtteri Filppula, Jaden SchwartzVictor Rask, Valtteri FilppulaMikko Rantanen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trevor van Riemsdyk, Ron Hainsey, Marc StaalTrevor van RiemsdykMarc Staal, Ron Hainsey
Tirs de Pénalité
Mikko Rantanen, Jaden Schwartz, David Krejci, Alexander Steen, Sam Reinhart
Gardien
#1 : Anthony Stolarz, #2 : Martin Jones


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 Ducks2010010036-31010000013-21000010023-110.250358000030631926171542430361516.67%70100.00%0834161051.80%820177146.30%36473049.86%483449132312
2Boston Bruins21100000642110000005141010000013-220.5006101610114038814160642516262150.00%8187.50%0834161051.80%820177146.30%36473049.86%432851142512
3Buffalo Sabres1010000002-21010000002-20000000000000.000000000000401111180317829200.00%30100.00%0834161051.80%820177146.30%36473049.86%2316247125
4Calgary Flames2010000146-21000000134-11010000012-110.2504812001120572413157662014386116.67%60100.00%0834161051.80%820177146.30%36473049.86%503447162713
5Carolina Hurricanes32100000981110000003212110000066040.667918270042307724252808127265914321.43%7271.43%0834161051.80%820177146.30%36473049.86%694872223719
6Chicago Blackhawks2110000034-11010000003-31100000031220.50035800012051151422056171646700.00%7185.71%0834161051.80%820177146.30%36473049.86%442947152713
7Colorado Avalanche1010000034-1000000000001010000034-100.00036900030027691203348185240.00%3166.67%0834161051.80%820177146.30%36473049.86%2315237137
8Columbus Blue Jackets21000010532100000103211100000021141.0005712000222501417174462317468112.50%60100.00%0834161051.80%820177146.30%36473049.86%533845142512
9Dallas Stars1010000005-51010000005-50000000000000.000000000000297101203714828500.00%4250.00%0834161051.80%820177146.30%36473049.86%2216246125
10Detroit Red Wings11000000431110000004310000000000021.00047110021103413912037128186233.33%40100.00%0834161051.80%820177146.30%36473049.86%2417247105
11Edmonton Oilers1010000034-1000000000001010000034-100.000358000210291011802410624300.00%3233.33%0834161051.80%820177146.30%36473049.86%2315236136
12Florida Panthers1010000012-1000000000001010000012-100.000123000100271386030121417300.00%7271.43%0834161051.80%820177146.30%36473049.86%2013276125
13Los Angeles Kings2110000056-1110000004221010000014-320.5005813000230551719190631516658112.50%80100.00%0834161051.80%820177146.30%36473049.86%473348142411
14Minnesota Wild1010000035-2000000000001010000035-200.000369001110248610042141526100.00%50100.00%0834161051.80%820177146.30%36473049.86%2113277115
15Montreal Canadiens32100000954211000005411100000041340.667917260034206720262106633225313430.77%11281.82%0834161051.80%820177146.30%36473049.86%714868213920
16New Jersey Devils21100000440110000003121010000013-220.500481200130043141811067733516116.67%9188.89%0834161051.80%820177146.30%36473049.86%442952152310
17New York Islanders210001003211000010012-11100000020230.750358012100611730140672318529111.11%80100.00%0834161051.80%820177146.30%36473049.86%473347142412
18New York Rangers1010000006-61010000006-60000000000000.0000000000001910360476827300.00%4250.00%0834161051.80%820177146.30%36473049.86%2215256115
19Ottawa Senators321000009901010000014-32200000085340.667916250062108135291708828227416318.75%11281.82%0834161051.80%820177146.30%36473049.86%684774243718
20Phoenix Coyotes21100000972110000006151010000036-320.50091625004230522119120731520492150.00%10370.00%0834161051.80%820177146.30%36473049.86%422852132512
21Pittsburgh Penguins2020000026-41010000013-21010000013-200.00024600011038101612059818471119.09%8187.50%0834161051.80%820177146.30%36473049.86%453049142512
22San Jose Sharks10000010211000000000001000001021121.000224000102172487264615200.00%30100.00%0834161051.80%820177146.30%36473049.86%2215287136
23St. Louis Blues1010000023-1000000000001010000023-100.0002350000202596100356832200.00%4175.00%0834161051.80%820177146.30%36473049.86%2215246126
24Tampa Bay Lightning1000010034-11000010034-10000000000010.5003580003002779101271814232150.00%7185.71%0834161051.80%820177146.30%36473049.86%2113267126
25Toronto Maple Leafs320000011174210000018621100000031250.833111930002450912537295912514681417.14%7185.71%0834161051.80%820177146.30%36473049.86%714772244121
Total50192301322117129-1225109012126165-425914001105664-8490.490117208325133443375130242243442831148944242910921962814.29%1792586.03%0834161051.80%820177146.30%36473049.86%11627981229371633314
27Vancouver Canucks22000000312110000001011100000021141.000369012100361111140401014311119.09%60100.00%0834161051.80%820177146.30%36473049.86%463148152412
28Vegas Golden Knights21100000541110000003031010000024-220.5005101501230065212321058178369111.11%30100.00%0834161051.80%820177146.30%36473049.86%503646152311
29Washington Capitals2010100067-12010100067-10000000000020.5006101600311154226206581318417114.29%80100.00%0834161051.80%820177146.30%36473049.86%463251142512
30Winnipeg Jets1010000001-1000000000001010000001-100.0000000000002595110235417400.00%20100.00%0834161051.80%820177146.30%36473049.86%2215257125
_Since Last GM Reset50192301322117129-1225109012126165-425914001105664-8490.490117208325133443375130242243442831148944242910921962814.29%1792586.03%0834161051.80%820177146.30%36473049.86%11627981229371633314
_Vs Conference29131101211727201766012114347-412750000029254330.56972128200112426203747243258237168592672566311162017.24%1081586.11%0834161051.80%820177146.30%36473049.86%675463712217366181
_Vs Division1456011102936-7823011101723-6633000001213-1150.536295281011010733421111151081042510713832358813.79%50688.00%0834161051.80%820177146.30%36473049.86%33022834410317486

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5049L111720832513021489442429109213
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5019231322117129
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2510912126165
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2591401105664
Derniers 10 Matchs
WLOTWOTL SOWSOL
360100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1962814.29%1792586.03%0
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
422434428313443375
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
834161051.80%820177146.30%36473049.86%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11627981229371633314


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
3 - 2019-09-0413Chicago Blackhawks3Philadelphia Flyers0LSommaire du Match
8 - 2019-09-0945New Jersey Devils1Philadelphia Flyers3WSommaire du Match
11 - 2019-09-1273Philadelphia Flyers2Vancouver Canucks1WSommaire du Match
14 - 2019-09-1588Philadelphia Flyers1Calgary Flames2LSommaire du Match
15 - 2019-09-1695Philadelphia Flyers3Edmonton Oilers4LSommaire du Match
18 - 2019-09-19118Dallas Stars5Philadelphia Flyers0LSommaire du Match
20 - 2019-09-21130Vegas Golden Knights0Philadelphia Flyers3WSommaire du Match
23 - 2019-09-24151Philadelphia Flyers3Chicago Blackhawks1WSommaire du Match
25 - 2019-09-26165Columbus Blue Jackets2Philadelphia Flyers3WXXSommaire du Match
26 - 2019-09-27174Philadelphia Flyers2New York Islanders0WSommaire du Match
28 - 2019-09-29182Philadelphia Flyers1Pittsburgh Penguins3LSommaire du Match
31 - 2019-10-02196Philadelphia Flyers1New Jersey Devils3LSommaire du Match
32 - 2019-10-03210Toronto Maple Leafs3Philadelphia Flyers2LXXSommaire du Match
35 - 2019-10-06226Carolina Hurricanes2Philadelphia Flyers3WSommaire du Match
37 - 2019-10-08240Montreal Canadiens1Philadelphia Flyers3WSommaire du Match
39 - 2019-10-10254Philadelphia Flyers3Toronto Maple Leafs1WSommaire du Match
40 - 2019-10-11268Philadelphia Flyers1Boston Bruins3LSommaire du Match
43 - 2019-10-14283Washington Capitals3Philadelphia Flyers4WXSommaire du Match
45 - 2019-10-16298Philadelphia Flyers4Ottawa Senators2WSommaire du Match
46 - 2019-10-17307New York Islanders2Philadelphia Flyers1LXSommaire du Match
49 - 2019-10-20319Philadelphia Flyers1Florida Panthers2LSommaire du Match
51 - 2019-10-22336Philadelphia Flyers1Carolina Hurricanes3LSommaire du Match
53 - 2019-10-24349Calgary Flames4Philadelphia Flyers3LXXSommaire du Match
55 - 2019-10-26367Vancouver Canucks0Philadelphia Flyers1WSommaire du Match
57 - 2019-10-28384Philadelphia Flyers2Columbus Blue Jackets1WSommaire du Match
59 - 2019-10-30397Detroit Red Wings3Philadelphia Flyers4WSommaire du Match
60 - 2019-10-31404Philadelphia Flyers4Montreal Canadiens1WSommaire du Match
63 - 2019-11-03428Toronto Maple Leafs3Philadelphia Flyers6WSommaire du Match
65 - 2019-11-05442Phoenix Coyotes1Philadelphia Flyers6WSommaire du Match
67 - 2019-11-07452Ottawa Senators4Philadelphia Flyers1LSommaire du Match
71 - 2019-11-11486Philadelphia Flyers3Colorado Avalanche4LSommaire du Match
74 - 2019-11-14507Philadelphia Flyers3Minnesota Wild5LSommaire du Match
75 - 2019-11-15515Philadelphia Flyers0Winnipeg Jets1LSommaire du Match
77 - 2019-11-17528Anaheim Ducks3Philadelphia Flyers1LSommaire du Match
79 - 2019-11-19540Buffalo Sabres2Philadelphia Flyers0LSommaire du Match
81 - 2019-11-21558Philadelphia Flyers4Ottawa Senators3WSommaire du Match
83 - 2019-11-23574New York Rangers6Philadelphia Flyers0LSommaire du Match
88 - 2019-11-28601Philadelphia Flyers2San Jose Sharks1WXXSommaire du Match
89 - 2019-11-29610Philadelphia Flyers2Anaheim Ducks3LXSommaire du Match
91 - 2019-12-01622Philadelphia Flyers1Los Angeles Kings4LSommaire du Match
93 - 2019-12-03638Philadelphia Flyers2Vegas Golden Knights4LSommaire du Match
95 - 2019-12-05650Philadelphia Flyers3Phoenix Coyotes6LSommaire du Match
98 - 2019-12-08668Philadelphia Flyers5Carolina Hurricanes3WSommaire du Match
99 - 2019-12-09676Washington Capitals4Philadelphia Flyers2LSommaire du Match
102 - 2019-12-12695Tampa Bay Lightning4Philadelphia Flyers3LXSommaire du Match
104 - 2019-12-14711Boston Bruins1Philadelphia Flyers5WSommaire du Match
106 - 2019-12-16726Philadelphia Flyers2St. Louis Blues3LSommaire du Match
107 - 2019-12-17731Montreal Canadiens3Philadelphia Flyers2LSommaire du Match
109 - 2019-12-19750Los Angeles Kings2Philadelphia Flyers4WSommaire du Match
112 - 2019-12-22763Pittsburgh Penguins3Philadelphia Flyers1LSommaire du Match
122 - 2020-01-01786Philadelphia Flyers-Pittsburgh Penguins-
123 - 2020-01-02799Colorado Avalanche-Philadelphia Flyers-
125 - 2020-01-04811Philadelphia Flyers-Detroit Red Wings-
128 - 2020-01-07832New Jersey Devils-Philadelphia Flyers-
130 - 2020-01-09850Philadelphia Flyers-Washington Capitals-
132 - 2020-01-11861Florida Panthers-Philadelphia Flyers-
133 - 2020-01-12869Philadelphia Flyers-New York Islanders-
135 - 2020-01-14883Philadelphia Flyers-Florida Panthers-
137 - 2020-01-16897Philadelphia Flyers-Tampa Bay Lightning-
140 - 2020-01-19920Columbus Blue Jackets-Philadelphia Flyers-
142 - 2020-01-21936Philadelphia Flyers-Columbus Blue Jackets-
144 - 2020-01-23949Winnipeg Jets-Philadelphia Flyers-
147 - 2020-01-26972San Jose Sharks-Philadelphia Flyers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29994New York Rangers-Philadelphia Flyers-
152 - 2020-01-311011Philadelphia Flyers-New York Rangers-
155 - 2020-02-031029Philadelphia Flyers-Washington Capitals-
156 - 2020-02-041037Carolina Hurricanes-Philadelphia Flyers-
158 - 2020-02-061057Buffalo Sabres-Philadelphia Flyers-
161 - 2020-02-091073Boston Bruins-Philadelphia Flyers-
163 - 2020-02-111085Philadelphia Flyers-Tampa Bay Lightning-
165 - 2020-02-131098Minnesota Wild-Philadelphia Flyers-
166 - 2020-02-141109Edmonton Oilers-Philadelphia Flyers-
168 - 2020-02-161125St. Louis Blues-Philadelphia Flyers-
171 - 2020-02-191149Philadelphia Flyers-Dallas Stars-
172 - 2020-02-201159Philadelphia Flyers-Nashville Predators-
175 - 2020-02-231179New York Islanders-Philadelphia Flyers-
177 - 2020-02-251196Philadelphia Flyers-Detroit Red Wings-
179 - 2020-02-271206Philadelphia Flyers-New Jersey Devils-
180 - 2020-02-281216Pittsburgh Penguins-Philadelphia Flyers-
183 - 2020-03-021239Philadelphia Flyers-New York Rangers-
184 - 2020-03-031246Nashville Predators-Philadelphia Flyers-
186 - 2020-03-051261Philadelphia Flyers-Buffalo Sabres-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance142,822119,04146,61992,89124,131
Attendance PCT95.21%95.23%93.24%92.89%96.52%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
16 17020 - 94.56% 606,703$15,167,574$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
27,516,608$ 43,977,555$ 16,198,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
43,977,555$ 26,808,094$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
9,707,247$ 73 240,522$ 17,558,106$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
18,031,786$ 43,977,555$ -11,322,613$ -19,647,152$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
David KrejciAGE:33PO:40OV:72
Jaden SchwartzAGE:27PO:71OV:71
Alexander SteenAGE:35PO:42OV:71
Colin WilsonAGE:29PO:69OV:65
Jacob de la RoseAGE:24PO:75OV:64
Tomas JurcoAGE:26PO:71OV:64
Charles HudonAGE:25PO:66OV:64
Sven AndrighettoAGE:26PO:58OV:63
Seth GriffithAGE:26PO:55OV:62
Adam TambelliniAGE:24PO:60OV:61
Cory ConacherAGE:29PO:45OV:60
Patrick EavesAGE:35PO:46OV:58
Landon FerraroAGE:27PO:64OV:57
David KrejciAGE:33PO:40OV:72
Sam ReinhartAGE:23PO:88OV:70
Valtteri FilppulaAGE:35PO:32OV:69
Colin WilsonAGE:29PO:69OV:65
Jacob de la RoseAGE:24PO:75OV:64
Victor RaskAGE:26PO:71OV:64
Seth GriffithAGE:26PO:55OV:62
Adam TambelliniAGE:24PO:60OV:61
Cory ConacherAGE:29PO:45OV:60
Landon FerraroAGE:27PO:64OV:57
Mikko RantanenAGE:22PO:85OV:76
Alexander SteenAGE:35PO:42OV:71
Sam ReinhartAGE:23PO:88OV:70
Colin WilsonAGE:29PO:69OV:65
Tomas JurcoAGE:26PO:71OV:64
Charles HudonAGE:25PO:66OV:64
Sven AndrighettoAGE:26PO:58OV:63
Seth GriffithAGE:26PO:55OV:62
Colin McDonaldAGE:34PO:50OV:62
*Filip ZadinaAGE:19PO:91OV:61
Tomas HykaAGE:26PO:53OV:61
Cory ConacherAGE:29PO:45OV:60
Chris ThorburnAGE:36PO:42OV:60
Scott KosmachukAGE:25PO:64OV:59
Marian StudenicAGE:20PO:64OV:59
Patrick EavesAGE:35PO:46OV:58
Landon FerraroAGE:27PO:64OV:57

Défense #1Défense #2Gardien
Ron HainseyAGE:38PO:36OV:74
Calvin de HaanAGE:28PO:70OV:71
Marc StaalAGE:32PO:52OV:71
Mikhail SergachevAGE:21PO:86OV:70
Kevin ShattenkirkAGE:30PO:68OV:69
Christian FolinAGE:28PO:36OV:69
Trevor van RiemsdykAGE:27PO:36OV:68
Alex BiegaAGE:31PO:49OV:66
Oscar FantenbergAGE:27PO:36OV:66
Griffin ReinhartAGE:25PO:80OV:65
Cameron GaunceAGE:29PO:58OV:64
Andrew CampbellAGE:31PO:51OV:63
Matt TennysonAGE:29PO:46OV:62
Chris CarlisleAGE:24PO:51OV:58
Brian CooperAGE:25PO:55OV:56
Martin JonesAGE:29PO:40OV:88
Anthony StolarzAGE:25PO:72OV:77
Mike McKennaAGE:36PO:28OV:77
Peter BudajAGE:36PO:34OV:74
Al MontoyaAGE:34PO:30OV:70

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
Adam ComriePhiladelphia Flyers
Adam GinningPhiladelphia Flyers1461
Alex FriesenPhiladelphia Flyers
Brandon MashinterPhiladelphia Flyers
Bryce Van BrabantPhiladelphia Flyers
Cam HillisPhiladelphia Flyers14104
Cameron CrottyPhiladelphia Flyers13137
Clayton StonerPhiladelphia Flyers
David BoothPhiladelphia Flyers
Henrik ZetterbergPhiladelphia Flyers
Iiro PakarinenPhiladelphia Flyers
Jakob RagnarssonPhiladelphia Flyers14103
Jakub KindlPhiladelphia Flyers
Kirill GotovetsPhiladelphia Flyers
Liam FoudyPhiladelphia Flyers1431
Marco RoyPhiladelphia Flyers
Mattias BackmanPhiladelphia Flyers
Mike BlundenPhiladelphia Flyers
Nick HenryPhiladelphia Flyers13105
Niklas SvedbergPhiladelphia Flyers
Patrick McNallyPhiladelphia Flyers
Paul BissonnettePhiladelphia Flyers
Rene BourquePhiladelphia Flyers
Ryan MerkleyPhiladelphia Flyers1418
Sergey KalininPhiladelphia Flyers
Yohann AuvituPhiladelphia Flyers

Choix au Repêchage

Année R1R2R3R4R5R6
15Phi Nas Buf Buf NYR
16Buf
17Phi Phi Phi Pit
18Cal Phi Phi Phi Phi
19Phi Phi Phi Phi Phi Phi



[2020-01-15 10:36:56] - TRADE : From Vancouver Canucks to Philadelphia Flyers : Y:15-RND:6-NYR.
[2020-01-15 10:36:56] - TRADE : From Philadelphia Flyers to Vancouver Canucks : Tom Pyatt (64).
[2020-01-06 09:24:16] - TRADE : From Nashville Predators to Philadelphia Flyers : Y:15-RND:4-Buf.
[2020-01-06 09:24:16] - TRADE : From Philadelphia Flyers to Nashville Predators : Patrik Berglund (67).
[2019-10-10 07:45:42] - TRADE : From Philadelphia Flyers to Calgary Flames : Y:16-RND:4-Flo, Y:16-RND:4-MTL.
[2019-10-10 07:45:42] - TRADE : From Calgary Flames to Philadelphia Flyers : Alexander Steen (71), Y:15-RND:5-Buf.
[2019-09-09 18:52:14] - TRADE : From Philadelphia Flyers to Boston Bruins : Alexander Edler (75), Thomas Vanek (69).
[2019-09-09 18:52:14] - TRADE : From Boston Bruins to Philadelphia Flyers : David Krejci (71), Y:15-RND:3-Nas, Y:16-RND:4-Flo, Y:16-RND:4-MTL.
[2019-09-06 13:59:36] - TRADE : From Vegas Golden Knights to Philadelphia Flyers : Victor Rask (64).
[2019-09-06 13:59:36] - TRADE : From Philadelphia Flyers to Vegas Golden Knights : Joel L'Esperance (61), Y:16-RND:6-Phi.
[2019-08-15 21:30:11] - Marian Studenic was added to Philadelphia Flyers.
[2019-08-03 09:23:58] - Joel L'Esperance was added to Philadelphia Flyers.
[2019-07-30 14:45:54] - Unknown Player is no longer captain for Philadelphia Flyers.
[2019-07-29 15:05:55] - TRADE : From Montreal Canadiens to Philadelphia Flyers : Patrik Berglund (67).
[2019-07-28 16:45:28] - TRADE : From Colorado Avalanche to Philadelphia Flyers : Christian Folin (68).
[2019-07-16 09:11:39] - Philadelphia Flyers hired Rod Brind'Amour for 1 000 000 $ for 5 year(s).
[2019-07-16 09:11:25] - Phantoms hired Mike Vellucci for 1 000 000 $ for 4 year(s).
[2019-07-16 09:11:17] - Phantoms fired Rick Kowalsky.
[2019-07-16 09:11:14] - Philadelphia Flyers fired Mike Vellucci.



[2020-01-23 17:27:52] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-23 15:27:33] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-22 15:03:01] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-21 07:53:43] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-20 07:52:37] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-19 10:41:02] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-18 09:31:35] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-17 05:14:44] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-16 05:16:11] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-15 10:38:15] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-15 10:36:58] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-15 10:36:56] TRADE : From Vancouver Canucks to Philadelphia Flyers : Y:15-RND:6-NYR.
[2020-01-15 10:36:56] TRADE : From Philadelphia Flyers to Vancouver Canucks : Tom Pyatt (64).
[2020-01-15 10:34:42] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.2.0.5
[2020-01-15 10:34:42] Tomas Jurco of Philadelphia Flyers was sent to pro.
[2020-01-14 05:13:38] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-13 05:11:48] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-12 11:02:47] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-11 10:12:26] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-10 08:11:03] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-09 08:25:45] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-08 09:34:40] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-07 08:28:15] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-07 08:27:19] Jacob de la Rose from Philadelphia Flyers is back from Sore Right Knee Injury.
[2020-01-07 08:27:17] Game 668 - Jacob de la Rose from Philadelphia Flyers is injured (Sore Right Knee) and is out for 2 days.
[2020-01-07 08:26:29] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-07 08:26:20] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2020-01-07 08:26:20] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2020-01-06 09:24:37] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-06 09:24:17] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-06 09:24:16] TRADE : From Nashville Predators to Philadelphia Flyers : Y:15-RND:4-Buf.
[2020-01-06 09:24:16] TRADE : From Philadelphia Flyers to Nashville Predators : Patrik Berglund (67).
[2020-01-05 05:13:53] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-04 05:19:13] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-03 05:45:53] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-02 11:04:58] Current fund for Philadelphia Flyers is under 0 $.
[2020-01-01 12:07:26] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-31 11:34:02] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-30 14:02:49] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-29 07:34:32] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-29 07:33:15] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-12-28 16:33:29] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-28 16:31:25] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-28 16:30:59] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2019-12-28 16:30:59] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2019-12-27 07:42:14] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-25 13:43:04] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-25 13:40:13] Martin Jones from Philadelphia Flyers is back from Exhaustion.
[2019-12-23 17:17:59] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-23 17:15:14] Martin Jones from Philadelphia Flyers injured (Exhaustion)



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
1450192301322117129-1225109012126165-425914001105664-849117208325133443375130242243442831148944242910921962814.29%1792586.03%0834161051.80%820177146.30%36473049.86%11627981229371633314
Total Saison Régulière50192301322117129-1225109012126165-425914001105664-849117208325133443375130242243442831148944242910921962814.29%1792586.03%0834161051.80%820177146.30%36473049.86%11627981229371633314