Philadelphia Flyers

GP: 31 | W: 17 | L: 11 | OTL: 3 | P: 37
GF: 75 | GA: 68 | PP%: 15.50% | PK%: 86.73%
DG: Kriss Cardenas | Morale : 54 | Moyenne d'Équipe : 70
Prochain matchs #507 vs Minnesota Wild
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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 RantanenX100.005843778589878884628781668265678563760
2David KrejciXX100.005637887672839474808273627182774062720
3Jaden SchwartzX100.006837857768838276587974717573687162720
4Alexander SteenXX100.006537887377817872567467807085754266710
5Sam ReinhartXX100.005837877578859574637775587667658862700
6Valtteri FilppulaX100.005337886874778566806967796885793249690
7Patrik BerglundXXX100.008237816789735066786471736879716362670
8Tom PyattXXX100.005935926369776462656459805780724562650
9Charles HudonXX100.008440786571726964706863627167656662640
10Victor RaskX100.006836907180716269786664576671667152640
11Jacob de la RoseXX100.007337826587697363786257715867647562640
12Ron HainseyX100.007642876584869463307461855288783662740
13Calvin de HaanX100.008637876276848761307454834875697062710
14Marc StaalX100.007439836189859259306856825180725263710
15Mikhail SergachevX100.007839817386838872307768625861638662700
16Kevin ShattenkirkX100.007237787476858673307764586377716852690
17Trevor van RiemsdykX100.005636896679789164307157764875693662690
Rayé
1Colin WilsonXXX98.226336926782747866626965586478726952650
2Sven AndrighettoXX100.005937896668697765536863616471675822630
MOYENNE D'ÉQUIPE99.89683885697979816856726570647570615869
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 Jones100.00949593849392949392949377834060880
2Anthony Stolarz100.00788179947776787776787769737262770
Rayé
MOYENNE D'ÉQUIPE100.0086888689858486858486857378566183
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'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
1Mikko RantanenPhiladelphia FlyersRW3113122501155374108376912.04%1173123.604372311300001222141.78%29200000.6813001330
2David KrejciPhiladelphia FlyersC/LW3151621010019786616417.58%373223.641452011300001192150.79%76000000.5713000202
3Alexander SteenPhiladelphia FlyersLW/RW338111976027638529779.41%964119.44358201020001741042.86%4200110.5901000230
4Jaden SchwartzPhiladelphia FlyersLW3191019-114065749129709.89%965421.10156161130001512143.97%11600100.5801000132
5Calvin de HaanPhiladelphia FlyersD31315187420693128142810.71%5869222.3423514101000077100.00%000000.5200000120
6Ron HainseyPhiladelphia FlyersD3111516024061373516232.86%5677925.1404417113000092000.00%000000.4100000011
7Sam ReinhartPhiladelphia FlyersC/RW319716520115559133515.25%452316.8723511108000051047.50%62100000.6101000203
8Mikhail SergachevPhiladelphia FlyersD313121503006730359278.57%2669022.2724622101000078000.00%000000.4300000000
9Patrik BerglundPhiladelphia FlyersC/LW/RW3168145240783159154110.17%151416.5924616107000002061.76%3400010.5400000112
10Marc StaalPhiladelphia FlyersD3131013-333552313071510.00%3663620.5324621118000089100.00%000000.4100001010
11Valtteri FilppulaPhiladelphia FlyersC314610017514485117347.84%433710.8700001000000048.45%35500000.5900001011
12Tom PyattPhiladelphia FlyersC/LW/RW31336-310024314510276.67%1137712.17000020000271050.00%7800000.3200000100
13Kevin ShattenkirkPhiladelphia FlyersD3124641803829114418.18%2151416.6010121300005000.00%000000.2300000101
14Trevor van RiemsdykPhiladelphia FlyersD31044-22013297040.00%2642413.6800010000051000.00%000000.1900000000
15Colin WilsonPhiladelphia FlyersC/LW/RW31213-3803016307286.67%234811.2400025000081035.00%2000000.1700000001
16Charles HudonPhiladelphia FlyersLW/RW3121311003516256118.00%11936.2300000000001066.67%1200000.3100000100
17Jacob de la RosePhiladelphia FlyersC/LW311120401516155146.67%21996.4500000000000064.29%4200000.2000000000
18Victor RaskPhiladelphia FlyersC31101000628216134.76%12126.8700005000001050.47%21400000.0900000000
19Sven AndrighettoPhiladelphia FlyersLW/RW2000000222030.00%0147.310000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne5627513621117265156797198032405649.34%281921816.402039591851121000280516348.49%258600220.4629003151513
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 Flyers2816930.9302.02169603578120010.70010283421
2Anthony StolarzPhiladelphia Flyers31200.9212.671800081010000.0000328001
Stats d'équipe Total ou en Moyenne31171130.9292.08187603659130010.700103131422


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
Alexander SteenPhiladelphia FlyersLW/RW351984-03-01No211 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$2,133,690$NoLien
Anthony StolarzPhiladelphia FlyersG251994-01-20No210 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm750,000$750,000$457,219$NoLien
Calvin de HaanPhiladelphia FlyersD281991-05-09No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$1,524,064$NoLien
Charles HudonPhiladelphia FlyersLW/RW251994-06-23No196 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm500,000$500,000$304,813$NoLien
Colin WilsonPhiladelphia FlyersC/LW/RW291989-10-20No221 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$609,626$NoLien
David KrejciPhiladelphia FlyersC/LW331986-04-28No188 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$2,133,690$NoLien
Jacob de la RosePhiladelphia FlyersC/LW241995-05-20No216 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm300,000$300,000$182,888$NoLien
Jaden SchwartzPhiladelphia FlyersLW271992-06-25No190 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$2,133,690$NoLien
Kevin ShattenkirkPhiladelphia FlyersD301989-01-29No206 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$3,048,128$NoLien
Marc StaalPhiladelphia FlyersD321987-01-13No213 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$1,524,064$NoLien
Martin JonesPhiladelphia FlyersG291990-01-10No190 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$3,048,128$NoLien
Mikhail SergachevPhiladelphia FlyersD211998-06-25No215 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$548,663$NoLien
Mikko RantanenPhiladelphia FlyersRW221996-10-29No215 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$548,663$NoLien
Patrik BerglundPhiladelphia FlyersC/LW/RW311988-06-02No215 Lbs6 ft4NoNoNo4Sans RestrictionPro & Farm2,080,333$2,080,333$1,268,224$NoLien
Ron HainseyPhiladelphia FlyersD381981-03-24No205 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm2,555,555$2,555,555$1,557,932$NoLien
Sam ReinhartPhiladelphia FlyersC/RW231995-11-06No192 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$1,524,064$NoLien
Sven AndrighettoPhiladelphia FlyersLW/RW261993-03-21No188 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm500,000$500,000$304,813$NoLien
Tom PyattPhiladelphia FlyersC/LW/RW321987-02-14No185 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm500,000$500,000$304,813$NoLien
Trevor van RiemsdykPhiladelphia FlyersD271991-07-24No192 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$1,524,064$NoLien
Valtteri FilppulaPhiladelphia FlyersC351984-03-20No196 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm3,222,000$3,222,000$1,964,214$NoLien
Victor RaskPhiladelphia FlyersC261993-03-01No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$500,000$304,813$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2128.48202 Lbs6 ft12.142,105,138$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
44,207,888$30,957,888$12,835,888$2,380,333$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jaden SchwartzDavid KrejciMikko Rantanen40122
2Alexander SteenSam ReinhartPatrik Berglund30122
3Valtteri FilppulaTom Pyatt20122
4Jacob de la RoseVictor RaskCharles Hudon10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyMarc Staal40122
2Calvin de HaanMikhail Sergachev30122
3Trevor van RiemsdykKevin Shattenkirk20122
4Ron HainseyMarc Staal10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jaden SchwartzDavid KrejciMikko Rantanen60122
2Alexander SteenSam ReinhartPatrik Berglund40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyMarc Staal60122
2Calvin de HaanMikhail 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
2Calvin de HaanMikhail Sergachev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mikko Rantanen60122Ron HainseyMarc Staal60122
2Jaden Schwartz40122Calvin de HaanMikhail 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
2Calvin de HaanMikhail 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, Victor Rask, Valtteri Filppula
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trevor van Riemsdyk, Kevin Shattenkirk, Calvin de HaanTrevor van RiemsdykKevin Shattenkirk, Calvin de Haan
Tirs de Pénalité
Mikko Rantanen, Jaden Schwartz, David Krejci, Alexander Steen, Sam Reinhart
Gardien
#1 : Martin Jones, #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
1Boston Bruins1010000013-2000000000001010000013-200.000123100010215880301581011100.00%40100.00%0524100252.30%502109745.76%22545050.00%2114257136
2Calgary Flames2010000146-21000000134-11010000012-110.2504812001120572413157662014386116.67%60100.00%0524100252.30%502109745.76%22545050.00%503447162713
3Carolina Hurricanes2110000045-1110000003211010000013-220.50048120012104716181305420193711218.18%7271.43%0524100252.30%502109745.76%22545050.00%473247142412
4Chicago Blackhawks2110000034-11010000003-31100000031220.50035800012051151422056171646700.00%7185.71%0524100252.30%502109745.76%22545050.00%442947152713
5Colorado Avalanche1010000034-1000000000001010000034-100.00036900030027691203348185240.00%3166.67%0524100252.30%502109745.76%22545050.00%2315237137
6Columbus Blue Jackets21000010532100000103211100000021141.0005712000222501417174462317468112.50%60100.00%0524100252.30%502109745.76%22545050.00%533845142512
7Dallas Stars1010000005-51010000005-50000000000000.000000000000297101203714828500.00%4250.00%0524100252.30%502109745.76%22545050.00%2216246125
8Detroit Red Wings11000000431110000004310000000000021.00047110021103413912037128186233.33%40100.00%0524100252.30%502109745.76%22545050.00%2417247105
9Edmonton Oilers1010000034-1000000000001010000034-100.000358000210291011802410624300.00%3233.33%0524100252.30%502109745.76%22545050.00%2315236136
10Florida Panthers1010000012-1000000000001010000012-100.000123000100271386030121417300.00%7271.43%0524100252.30%502109745.76%22545050.00%2013276125
11Montreal Canadiens22000000725110000003121100000041341.000713200033104413181305125183910440.00%9188.89%0524100252.30%502109745.76%22545050.00%453049142512
12New Jersey Devils21100000440110000003121010000013-220.500481200130043141811067733516116.67%9188.89%0524100252.30%502109745.76%22545050.00%442952152310
13New York Islanders210001003211000010012-11100000020230.750358012100611730140672318529111.11%80100.00%0524100252.30%502109745.76%22545050.00%473347142412
14Ottawa Senators2110000056-11010000014-31100000042220.50059140032004819181105415145012216.67%7185.71%0524100252.30%502109745.76%22545050.00%443049172612
15Phoenix Coyotes11000000615110000006150000000000021.00061117003120228860371110212150.00%50100.00%0524100252.30%502109745.76%22545050.00%2013276125
16Pittsburgh Penguins1010000013-2000000000001010000013-200.0001230000101757503141025600.00%4175.00%0524100252.30%502109745.76%22545050.00%2215247126
17Toronto Maple Leafs320000011174210000018621100000031250.833111930002450912537295912514681417.14%7185.71%0524100252.30%502109745.76%22545050.00%714772244121
Total31151101112756871683011124337615780000032311370.59775136211132331193798259282244229142812656661292015.50%1131586.73%0524100252.30%502109745.76%22545050.00%723496759233395196
19Vancouver Canucks22000000312110000001011100000021141.000369012100361111140401014311119.09%60100.00%0524100252.30%502109745.76%22545050.00%463148152412
20Vegas Golden Knights11000000303110000003030000000000021.00036901120034141370369621100.00%30100.00%0524100252.30%502109745.76%22545050.00%2519247104
21Washington Capitals10001000431100010004310000000000021.000471100210130105962751026300.00%40100.00%0524100252.30%502109745.76%22545050.00%2416267136
_Since Last GM Reset31151101112756871683011124337615780000032311370.59775136211132331193798259282244229142812656661292015.50%1131586.73%0524100252.30%502109745.76%22545050.00%723496759233395196
_Vs Conference2010601111504371051011113024610550000020191260.650508913911162012351316419314815585186183439891516.85%76988.16%0524100252.30%502109745.76%22545050.00%467320493152253126
_Vs Division10430111021201520011101410452300000710-3130.650213758016943248769569102928210723743511.63%38489.47%0524100252.30%502109745.76%22545050.00%2401662447412462

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3137L27513621179891428126566613
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
31151111127568
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
168311124337
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
157800003231
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1292015.50%1131586.73%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
259282244222331193
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
524100252.30%502109745.76%22545050.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
723496759233395196


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 Flyers-Minnesota Wild-
75 - 2019-11-15515Philadelphia Flyers-Winnipeg Jets-
77 - 2019-11-17528Anaheim Ducks-Philadelphia Flyers-
79 - 2019-11-19540Buffalo Sabres-Philadelphia Flyers-
81 - 2019-11-21558Philadelphia Flyers-Ottawa Senators-
83 - 2019-11-23574New York Rangers-Philadelphia Flyers-
88 - 2019-11-28601Philadelphia Flyers-San Jose Sharks-
89 - 2019-11-29610Philadelphia Flyers-Anaheim Ducks-
91 - 2019-12-01622Philadelphia Flyers-Los Angeles Kings-
93 - 2019-12-03638Philadelphia Flyers-Vegas Golden Knights-
95 - 2019-12-05650Philadelphia Flyers-Phoenix Coyotes-
98 - 2019-12-08668Philadelphia Flyers-Carolina Hurricanes-
99 - 2019-12-09676Washington Capitals-Philadelphia Flyers-
102 - 2019-12-12695Tampa Bay Lightning-Philadelphia Flyers-
104 - 2019-12-14711Boston Bruins-Philadelphia Flyers-
106 - 2019-12-16726Philadelphia Flyers-St. Louis Blues-
107 - 2019-12-17731Montreal Canadiens-Philadelphia Flyers-
109 - 2019-12-19750Los Angeles Kings-Philadelphia Flyers-
112 - 2019-12-22763Pittsburgh Penguins-Philadelphia Flyers-
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
Assistance91,47175,46230,37459,57115,560
Attendance PCT95.28%94.33%94.92%93.08%97.25%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
25 17027 - 94.60% 606,942$9,711,078$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
17,435,557$ 44,207,888$ 15,898,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
44,207,888$ 17,013,131$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
15,173,559$ 114 241,753$ 27,559,842$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
28,290,924$ 44,207,888$ -6,454,370$ -19,571,735$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Jaden SchwartzAGE:27PO:71OV:72
David KrejciAGE:33PO:40OV:72
Alexander SteenAGE:35PO:42OV:71
Patrik BerglundAGE:31PO:63OV:67
Colin WilsonAGE:29PO:69OV:65
Tom PyattAGE:32PO:45OV:65
Jacob de la RoseAGE:24PO:75OV:64
Charles HudonAGE:25PO:66OV:64
Tomas JurcoAGE:26PO:71OV:63
Sven AndrighettoAGE:26PO:58OV:63
Seth GriffithAGE:26PO:55OV:62
Adam TambelliniAGE:24PO:60OV:61
Cory ConacherAGE:29PO:45OV:59
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
Patrik BerglundAGE:31PO:63OV:67
Colin WilsonAGE:29PO:69OV:65
Tom PyattAGE:32PO:45OV: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:59
Landon FerraroAGE:27PO:64OV:57
Mikko RantanenAGE:22PO:85OV:76
Alexander SteenAGE:35PO:42OV:71
Sam ReinhartAGE:23PO:88OV:70
Patrik BerglundAGE:31PO:63OV:67
Colin WilsonAGE:29PO:69OV:65
Tom PyattAGE:32PO:45OV:65
Charles HudonAGE:25PO:66OV:64
Tomas JurcoAGE:26PO:71OV:63
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
Chris ThorburnAGE:36PO:42OV:60
Marian StudenicAGE:20PO:64OV:59
Cory ConacherAGE:29PO:45OV:59
Scott KosmachukAGE:25PO:64OV:58
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
Trevor van RiemsdykAGE:27PO:36OV:69
Christian FolinAGE:28PO:36OV:68
Alex BiegaAGE:31PO:49OV:66
Oscar FantenbergAGE:27PO:36OV:66
Griffin ReinhartAGE:25PO:80OV:64
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
16Buf
17Phi Phi Phi Pit
18Cal Phi Phi Phi Phi
19Phi Phi Phi Phi Phi Phi



[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.
[2019-06-28 11:01:06] - Philadelphia Flyers drafts Cam Hillis as the #104 overall pick in the Entry Draft of year 14.
[2019-06-28 11:00:57] - Philadelphia Flyers drafts Jakob Ragnarsson as the #103 overall pick in the Entry Draft of year 14.
[2019-06-27 19:54:44] - TRADE : From Anaheim Ducks to Philadelphia Flyers : Y:14-RND:4-Edm, Y:14-RND:4-Cal.
[2019-06-27 19:54:44] - TRADE : From Philadelphia Flyers to Anaheim Ducks : Y:16-RND:3-Ana, Y:18-RND:4-Phi, Y:15-RND:6-Col.



[2019-12-13 05:17:02] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-12 05:15:18] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-12 05:14:25] Colin Wilson from Philadelphia Flyers is back from Strained Left Elbow Injury.
[2019-12-11 05:08:51] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-11 05:08:03] Game 486 - Colin Wilson from Philadelphia Flyers is injured (Strained Left Elbow) and is out for 4 days.
[2019-12-10 05:12:02] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-09 05:03:12] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-09 05:01:09] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-12-08 10:36:44] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-07 10:36:14] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-06 08:42:55] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-05 05:14:18] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-05 05:13:25] Patrik Berglund from Philadelphia Flyers has scored a Hat Trick!
[2019-12-04 09:54:39] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-04 09:52:06] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-12-03 08:34:49] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-03 08:31:54] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-03 08:31:47] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2019-12-03 08:31:47] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2019-12-02 09:35:56] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-02 09:23:50] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-01 05:17:09] Current fund for Philadelphia Flyers is under 0 $.
[2019-12-01 05:14:15] Martin Jones from Philadelphia Flyers is back from Exhaustion.
[2019-11-30 05:15:29] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-30 05:13:54] Martin Jones from Philadelphia Flyers injured (Exhaustion)
[2019-11-29 08:03:40] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-29 08:00:51] Victor Rask from Philadelphia Flyers is back from Sprained Left Finger Injury.
[2019-11-29 08:00:50] Game 397 - Victor Rask from Philadelphia Flyers is injured (Sprained Left Finger) and is out for 2 days.
[2019-11-29 07:59:39] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-29 07:59:19] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-29 07:57:32] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2019-11-29 07:57:32] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2019-11-28 05:14:00] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-28 05:13:01] Kevin Shattenkirk from Philadelphia Flyers is back from Lower Body Injury.
[2019-11-27 12:52:51] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-27 12:51:00] Game 384 - Kevin Shattenkirk from Philadelphia Flyers is injured (Lower Body) and is out for 4 days.
[2019-11-26 05:17:01] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-25 13:40:55] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-25 13:38:33] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-25 13:38:26] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2019-11-25 13:38:26] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2019-11-24 13:33:28] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-24 13:31:29] Valtteri Filppula from Philadelphia Flyers is back from Lacerated Left Calf Injury.
[2019-11-23 07:38:21] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-23 07:36:33] Game 349 - Valtteri Filppula from Philadelphia Flyers is injured (Lacerated Left Calf) and is out for 4 days.
[2019-11-22 15:25:07] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-21 13:30:51] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-20 14:07:28] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-19 11:43:30] Current fund for Philadelphia Flyers is under 0 $.
[2019-11-18 13:53:45] Current fund for Philadelphia Flyers is under 0 $.



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
14311511011127568716830111243376157800000323113775136211132331193798259282244229142812656661292015.50%1131586.73%0524100252.30%502109745.76%22545050.00%723496759233395196
Total Saison Régulière311511011127568716830111243376157800000323113775136211132331193798259282244229142812656661292015.50%1131586.73%0524100252.30%502109745.76%22545050.00%723496759233395196