Philadelphia Flyers

GP: 10 | W: 7 | L: 2 | OTL: 1 | P: 15
GF: 34 | GA: 23 | PP%: 18.42% | PK%: 91.67%
DG: Kriss Cardenas | Morale : 55 | Moyenne d'Équipe : 70
Prochain matchs #155 vs Montreal Canadiens
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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 RantanenX100.005843778589878884628781668265678558760
2David KrejciXX100.005637887672839474808273627182774053710
3Jaden SchwartzX100.006837857768838276587974717573687158710
4Sam ReinhartXX100.005837877578859574637775587667658858700
5Valtteri FilppulaX100.005337886874778566806967796885793258690
6Patrik BerglundXXX100.008237816789735066786471736879716358670
7Colin WilsonXXX100.006336926782747866626965586478726958650
8Tom PyattXXX100.005935926369776462656459805780724558640
9Charles HudonXX100.008440786571726964706863627167656658640
10Victor RaskX100.006836907180716269786664576671667147640
11Jacob de la RoseXX100.007337826587697363786257715867647558640
12Sven AndrighettoXX100.005937896668697765536863616471675859630
13Ron HainseyX100.007642876584869463307461855288783658740
14Calvin de HaanX100.008637876276848761307454834875697058710
15Marc StaalX100.007439836189859259306856825180725258710
16Mikhail SergachevX100.007839817386838872307768625861638658700
17Kevin ShattenkirkX100.007237787476858673307764586377716859690
18Trevor van RiemsdykX100.005636896679789164307157764875693655680
Rayé
MOYENNE D'ÉQUIPE100.00683885697979816856726569637570625768
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 Jones100.00949593849392949392949377834058880
2Anthony Stolarz100.00788179947776787776787769737258770
Rayé
MOYENNE D'ÉQUIPE100.0086888689858486858486857378565883
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 FlyersRW10581360018275221339.62%123923.9320211340000142038.71%6200001.0901000022
2Ron HainseyPhiladelphia FlyersD1019105001813113139.09%1024724.71022629000011100.00%000000.8100000020
3David KrejciPhiladelphia FlyersC/LW102798004292411228.33%321421.40022227000090047.90%23800000.8400000100
4Jaden SchwartzPhiladelphia FlyersLW1035862025134520256.67%422622.64022734000091042.31%2600000.7101000002
5Colin WilsonPhiladelphia FlyersC/LW/RW104260002111011240.00%114414.42101320000001042.86%7700000.8300000101
6Patrik BerglundPhiladelphia FlyersC/LW/RW10336040331222141313.64%218118.16101330000000066.67%900000.6600000001
7Sam ReinhartPhiladelphia FlyersC/RW10325-3006171982415.79%219919.96112531000150045.14%14400000.5001000010
8Valtteri FilppulaPhiladelphia FlyersC103250002252351913.04%416616.61000312000000042.21%19900000.6001000000
9Mikhail SergachevPhiladelphia FlyersD10235440194961122.22%1118518.5511241900004110.00%000000.5400000100
10Kevin ShattenkirkPhiladelphia FlyersD100552951186230.00%518118.1201121700002000.00%000000.5500001000
11Tom PyattPhiladelphia FlyersC/LW/RW1013420015133137.69%2868.6000000000011046.88%3200000.9300000001
12Marc StaalPhiladelphia FlyersD10134-22012511649.09%919519.6011262100009000.00%000000.4100000000
13Trevor van RiemsdykPhiladelphia FlyersD9033000423130.00%810411.560000000002000.00%000000.5800000000
14Victor RaskPhiladelphia FlyersC102020003882425.00%2606.0400010000000041.67%6000000.6600000000
15Jacob de la RosePhiladelphia FlyersC/LW10112-1001713114149.09%212312.3400000000000060.24%8300000.3200000000
16Calvin de HaanPhiladelphia FlyersD10101-120231311359.09%1621021.0700063000008000.00%000000.0900000000
17Charles HudonPhiladelphia FlyersLW/RW10101-18014514177.14%1969.6700000000000040.00%500000.2100000000
18Sven AndrighettoPhiladelphia FlyersLW/RW8000100118060.00%1486.090000000000000.00%300000.0000000000
19Tomas JurcoPhantoms (Phi)LW/RW1000100100000.00%066.720000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1783356892731521421130011123111.00%84291716.3971017593130001817145.74%93800000.6104001357
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 Flyers107210.9312.1860522223170000.8005100400
Stats d'équipe Total ou en Moyenne107210.9312.1860522223170000.8005100400


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
Anthony StolarzPhiladelphia FlyersG251994-01-20No210 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm750,000$750,000$750,000$NoLien
Calvin de HaanPhiladelphia FlyersD281991-05-09No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Charles HudonPhiladelphia FlyersLW/RW251994-06-23No196 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Colin WilsonPhiladelphia FlyersC/LW/RW291989-10-20No221 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm1,000,000$1,000,000$1,000,000$NoLien
David KrejciPhiladelphia FlyersC/LW331986-04-28No188 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Jacob de la RosePhiladelphia FlyersC/LW241995-05-20No216 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm300,000$300,000$300,000$NoLien
Jaden SchwartzPhiladelphia FlyersLW271992-06-25No190 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm3,500,000$3,500,000$3,500,000$NoLien
Kevin ShattenkirkPhiladelphia FlyersD301989-01-29No206 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Marc StaalPhiladelphia FlyersD321987-01-13No213 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Martin JonesPhiladelphia FlyersG291990-01-10No190 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm5,000,000$5,000,000$5,000,000$NoLien
Mikhail SergachevPhiladelphia FlyersD211998-06-25No215 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Mikko RantanenPhiladelphia FlyersRW221996-10-29No215 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm900,000$900,000$900,000$NoLien
Patrik BerglundPhiladelphia FlyersC/LW/RW311988-06-02No215 Lbs6 ft4NoNoNo4Sans RestrictionPro & Farm2,080,333$2,080,333$2,080,333$NoLien
Ron HainseyPhiladelphia FlyersD381981-03-24No205 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm2,555,555$2,555,555$2,555,555$NoLien
Sam ReinhartPhiladelphia FlyersC/RW231995-11-06No192 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Sven AndrighettoPhiladelphia FlyersLW/RW261993-03-21No188 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Tom PyattPhiladelphia FlyersC/LW/RW321987-02-14No185 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm500,000$500,000$500,000$NoLien
Trevor van RiemsdykPhiladelphia FlyersD271991-07-24No192 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$2,500,000$NoLien
Valtteri FilppulaPhiladelphia FlyersC351984-03-20No196 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm3,222,000$3,222,000$3,222,000$NoLien
Victor RaskPhiladelphia FlyersC261993-03-01No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$500,000$500,000$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2028.15201 Lbs6 ft22.202,035,394$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
40,707,888$30,957,888$12,835,888$2,380,333$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jaden SchwartzDavid KrejciMikko Rantanen40122
2Patrik BerglundValtteri FilppulaSam Reinhart30122
3Colin WilsonJacob de la RoseTom Pyatt20122
4Charles HudonVictor RaskSven Andrighetto10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyMikhail Sergachev40122
2Calvin de HaanKevin Shattenkirk30122
3Marc StaalTrevor van Riemsdyk20122
4Ron HainseyMarc Staal10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jaden SchwartzDavid KrejciMikko Rantanen60122
2Patrik BerglundSam ReinhartColin Wilson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ron HainseyMarc Staal60122
2Calvin de HaanMikhail Sergachev40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mikko RantanenDavid Krejci60122
2Jaden SchwartzSam Reinhart40122
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
2David Krejci40122Calvin de HaanMikhail Sergachev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mikko RantanenDavid Krejci60122
2Jaden SchwartzSam Reinhart40122
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
Valtteri Filppula, Jacob de la Rose, Tom PyattValtteri Filppula, Jacob de la RoseTom Pyatt
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevin Shattenkirk, Trevor van Riemsdyk, Calvin de HaanKevin ShattenkirkTrevor van Riemsdyk, Calvin de Haan
Tirs de Pénalité
Mikko Rantanen, David Krejci, Jaden Schwartz, Sam Reinhart, Valtteri Filppula
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 Bruins11000000523110000005230000000000021.00051015003110421681803110027200.00%000.00%016734847.99%15635543.94%6914447.92%2518216126
2Buffalo Sabres210000016331000000123-11100000040430.7506111701132052171222678264409333.33%2150.00%016734847.99%15635543.94%6914447.92%483348152713
3Detroit Red Wings22000000844110000002021100000064241.000814220134107023301705114439700.00%10100.00%016734847.99%15635543.94%6914447.92%503544122512
4Florida Panthers2110000057-2110000002111010000036-320.5005914002210521913200711510498112.50%50100.00%016734847.99%15635543.94%6914447.92%453048152512
5Ottawa Senators11000000321000000000001100000032121.000358002100311114603017223400.00%10100.00%016734847.99%15635543.94%6914447.92%2214248126
6Tampa Bay Lightning211000007521010000013-21100000062420.50071219002230582013250561413468337.50%30100.00%016734847.99%15635543.94%6914447.92%493445142512
Total1072000013423115310000112935410000022148150.75034619502131380305106901086317963322438718.42%12191.67%016734847.99%15635543.94%6914447.92%2421682337212864
_Since Last GM Reset1072000013423115310000112935410000022148150.75034619502131380305106901086317963322438718.42%12191.67%016734847.99%15635543.94%6914447.92%2421682337212864
_Vs Conference1072000013423115310000112935410000022148150.75034619502131380305106901086317963322438718.42%12191.67%016734847.99%15635543.94%6914447.92%2421682337212864

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1015W2346195305317963322402
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
107200013423
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5310001129
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
54100002214
Derniers 10 Matchs
WLOTWOTL SOWSOL
720001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
38718.42%12191.67%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
106901086131380
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
16734847.99%15635543.94%6914447.92%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2421682337212864


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2019-09-022Boston Bruins2Philadelphia Flyers5WSommaire du Match
3 - 2019-09-0430Buffalo Sabres3Philadelphia Flyers2LXXSommaire du Match
4 - 2019-09-0543Philadelphia Flyers3Florida Panthers6LSommaire du Match
6 - 2019-09-0751Philadelphia Flyers6Detroit Red Wings4WSommaire du Match
7 - 2019-09-0866Detroit Red Wings0Philadelphia Flyers2WSommaire du Match
8 - 2019-09-0975Philadelphia Flyers4Buffalo Sabres0WSommaire du Match
10 - 2019-09-11101Philadelphia Flyers3Ottawa Senators2WSommaire du Match
11 - 2019-09-12114Tampa Bay Lightning3Philadelphia Flyers1LSommaire du Match
13 - 2019-09-14131Florida Panthers1Philadelphia Flyers2WSommaire du Match
14 - 2019-09-15143Philadelphia Flyers6Tampa Bay Lightning2WSommaire du Match
15 - 2019-09-16155Philadelphia Flyers-Montreal Canadiens-
17 - 2019-09-18173Ottawa Senators-Philadelphia Flyers-
18 - 2019-09-19189Philadelphia Flyers-Boston Bruins-
20 - 2019-09-21209Montreal Canadiens-Philadelphia Flyers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
23 - 2019-09-24224Philadelphia Flyers-Toronto Maple Leafs-
25 - 2019-09-26238Toronto Maple Leafs-Philadelphia Flyers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
3 0 - 0.00% 0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 40,707,888$ 12,398,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 1,611,175$ 1,611,175$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Jaden SchwartzAGE:27PO:71OV:71
David KrejciAGE:33PO:40OV:71
Patrik BerglundAGE:31PO:63OV:67
Colin WilsonAGE:29PO:69OV:65
Jacob de la RoseAGE:24PO:75OV:64
Charles HudonAGE:25PO:66OV:64
Tom PyattAGE:32PO:45OV: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:71
Sam ReinhartAGE:23PO:88OV:70
Valtteri FilppulaAGE:35PO:32OV:69
Patrik BerglundAGE:31PO:63OV:67
Colin WilsonAGE:29PO:69OV:65
Jacob de la RoseAGE:24PO:75OV:64
Victor RaskAGE:26PO:71OV:64
Tom PyattAGE:32PO:45OV: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
Sam ReinhartAGE:23PO:88OV:70
Patrik BerglundAGE:31PO:63OV:67
Colin WilsonAGE:29PO:69OV:65
Charles HudonAGE:25PO:66OV:64
Tom PyattAGE:32PO:45OV: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
Cory ConacherAGE:29PO:45OV:59
Scott KosmachukAGE:25PO:64OV:58
Marian StudenicAGE:20PO: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
Christian FolinAGE:28PO:36OV:68
Trevor van RiemsdykAGE:27PO: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:57
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
16Buf Flo MTL
17Phi Phi Phi Pit
18Cal Phi Phi Phi Phi
19Phi Phi Phi Phi Phi Phi



[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.
[2019-06-25 11:06:56] - TRADE : From Philadelphia Flyers to New York Rangers : Y:16-RND:5-Buf, Y:17-RND:5-Phi.
[2019-06-25 11:06:56] - TRADE : From New York Rangers to Philadelphia Flyers : Marc Staal (71).
[2019-06-20 15:23:08] - TRADE : From Philadelphia Flyers to Buffalo Sabres : Y:14-RND:3-MTL.
[2019-06-20 15:23:08] - TRADE : From Buffalo Sabres to Philadelphia Flyers : Charles Hudon (64), Y:16-RND:5-Buf, Y:16-RND:3-Buf.



[2019-09-19 05:22:15] Last 7 Days Pro Star : 1 - Martin Jones of Philadelphia Flyers (0,952) / 2 - Dylan Larkin of New York Rangers (4-6-10) / 3 - Brayden Point of Buffalo Sabres (4-5-9)
[2019-09-12 07:49:10] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-09-12 07:49:10] Marian Studenic of Philadelphia Flyers was sent down to farm.
[2019-09-12 07:49:10] Tomas Jurco of Philadelphia Flyers was sent down to farm.
[2019-09-11 11:02:14] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2019-09-11 11:02:13] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2019-09-10 10:24:04] Colin McDonald from Phantoms has scored a Hat Trick!
[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.
[2019-09-08 07:53:22] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2019-09-08 07:53:22] Auto Roster Partial Function has been run for Philadelphia Flyers.
[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.
[2019-08-12 16:41:09] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-08-12 16:41:09] Tomas Jurco of Philadelphia Flyers was sent to pro.
[2019-08-12 16:41:09] Seth Griffith of Philadelphia Flyers was sent down to farm.
[2019-08-07 08:03:12] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-08-07 08:03:12] Peter Budaj of Philadelphia Flyers was sent to farm.
[2019-08-07 08:03:12] Joel L'Esperance of Philadelphia Flyers was sent down to farm.
[2019-08-07 08:03:12] Jacob de la Rose of Philadelphia Flyers was sent to pro.
[2019-08-07 08:03:12] Griffin Reinhart of Philadelphia Flyers was sent down to farm.
[2019-08-07 08:03:12] Filip Zadina of Philadelphia Flyers was sent down to farm.
[2019-08-07 08:03:12] Tomas Jurco of Philadelphia Flyers was sent down to farm.
[2019-08-07 08:03:12] Oscar Fantenberg of Philadelphia Flyers was sent down to farm.
[2019-08-07 08:03:12] Chris Thorburn of Philadelphia Flyers was sent down to farm.
[2019-08-07 08:03:12] Alex Biega of Philadelphia Flyers was sent down to farm.
[2019-08-07 08:03:12] Patrick Eaves of Philadelphia Flyers was sent down to farm.
[2019-08-07 08:03:12] Cory Conacher of Philadelphia Flyers was sent down to farm.
[2019-08-03 09:24:07] Philadelphia Flyers roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2019-08-03 09:23:58] Joel L'Esperance was added to Philadelphia Flyers.
[2019-08-02 11:37:12] Philadelphia Flyers roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2019-07-31 15:37:17] Philadelphia Flyers roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2019-07-31 15:27:58] Philadelphia Flyers roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2019-07-31 03:25:30] Philadelphia Flyers roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2019-07-30 14:45:54] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-07-30 14:45:54] Anthony Stolarz of Philadelphia Flyers was sent to pro.
[2019-07-30 14:45:54] Peter Budaj of Philadelphia Flyers was sent to pro.
[2019-07-30 14:45:54] Al Montoya of Philadelphia Flyers was sent to farm.
[2019-07-30 14:45:54] Griffin Reinhart of Philadelphia Flyers was sent to pro.
[2019-07-30 14:45:54] Oscar Fantenberg of Philadelphia Flyers was sent to pro.
[2019-07-30 14:45:54] Chris Thorburn of Philadelphia Flyers was sent to pro.
[2019-07-29 23:42:44] Auto Lines Function has been run for Philadelphia Flyers.
[2019-07-29 23:42:40] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2019-07-29 23:42:39] Philadelphia Flyers roster errors : Not enough Centers available in Pro Team! 2 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Forward available in Pro Team! 7 Dressed. 9 Required. Not enough Players available in Pro Team! 13 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-29 15:05:58] Philadelphia Flyers roster errors : Not enough Centers available in Pro Team! 2 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Forward available in Pro Team! 7 Dressed. 9 Required. Not enough Players available in Pro Team! 13 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-29 15:05:55] TRADE : From Montreal Canadiens to Philadelphia Flyers : Patrik Berglund (67).
[2019-07-29 15:01:00] Philadelphia Flyers roster errors : Not enough Centers available in Pro Team! 2 Dressed. 3 Required. Not enough Right Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Forward available in Pro Team! 7 Dressed. 9 Required. Not enough Players available in Pro Team! 13 Dressed. 18 Required. Some errors will be automatically fixed.



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