Philadelphia Flyers

GP: 6 | W: 1 | L: 5 | OTL: 0 | P: 2
GF: 18 | GA: 25 | PP%: 11.11% | PK%: 79.31%
DG: Kriss Cardenas | Morale : 43 | Moyenne d'Équipe : N/A
Prochain matchs #90 vs Columbus Blue Jackets
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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
1Corey PerryX100.0081558289919189905588797655867114500
2Henrik Zetterberg (C)XX100.0073558990919199918592719255959614600
3Colin WilsonXXX100.0074558085828274778171697255817514500
4Patrick EavesXX100.0088558878929287795074807555858214500
5Mikko RantanenXX99.0071558895889089968195908755807814500
6Rick NashXX100.0079558686909087875870838655868914500
7Thomas Vanek (A)XX100.0072558783898986875883857555889214500
8Phil KesselX99.0071558993939395976096928355888514500
9Sven AndrighettoXX100.0071557280777576806075717155727214500
10Victor RaskX100.0081558985858589809675757555737114500
11William KarlssonXX99.0075559492829090958587988755818014500
12Tyler EnnisXX100.0072557584687979735872697255777314800
13Alexander Edler (A)X100.0094557684939587922585679455878713700
14Andrew MacDonaldX100.0073558579868687842573678755858514500
15Mike GreenX99.0082558489859197922585709255808414500
16Ron HainseyX100.0083559574899090862576649155858514500
17Mikhail Sergachev (R)X100.0083558295827781952587699155787614500
18Trevor van RiemsdykX100.0071559288818183832570639155807814500
Rayé
MOYENNE D'ÉQUIPE99.787755858686878787548176835583811450
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Al Montoya100.007969598480807772757955797713300
2Martin Jones97.008896918791858986918855868613500
Rayé
MOYENNE D'ÉQUIPE98.50848375868683837983845583821340
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Vellucci80929184735868USA5151,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Trevor van RiemsdykPhiladelphia FlyersD624666012633366.67%67913.240000000003000.00%000001.5100000010
2Mikhail SergachevPhiladelphia FlyersD6145-78015970314.29%813222.05112511000020000.00%000000.7600000000
3Phil KesselPhiladelphia FlyersRW6325-5408141661218.75%015025.110002140001300037.97%7900000.6600000000
4William KarlssonPhiladelphia FlyersC/LW6235-500810219169.52%314424.050004140001251048.48%16500000.6900000001
5Henrik ZetterbergPhiladelphia FlyersC/LW6314255613196615.79%312020.000005140110160152.11%14200000.6700001100
6Rick NashPhiladelphia FlyersLW/RW6224500452041210.00%08213.7500006000000040.00%500000.9700000000
7Mike GreenPhiladelphia FlyersD6123-1020910103710.00%1015726.33101616000126000.00%000000.3800000000
8Patrick EavesPhiladelphia FlyersLW/RW603321004215040.00%36310.6600000000060035.71%1400000.9400000001
9Mikko RantanenPhiladelphia FlyersLW/RW6123-460910219144.76%313622.810111141011170033.33%2700000.4400000000
10Thomas VanekPhiladelphia FlyersLW/RW6213-22042191710.53%07512.5601118000000050.00%600000.8000000000
11Alexander EdlerPhiladelphia FlyersD4112-3407311259.09%79924.95000612000012000.00%000000.4000000000
12Corey PerryPhiladelphia FlyersRW6022120126172130.00%110016.72000514000000015.38%1300000.4000000000
13Andrew MacDonaldPhiladelphia FlyersD6022620843030.00%109616.0400015000012000.00%000000.4200000000
14Victor RaskPhiladelphia FlyersC6022240467230.00%1579.6300000000000048.19%8300000.6900000000
15Alex BiegaPhantoms (Phi)D1011140321000.00%12424.250001500000000.00%000000.8200000000
16Ron HainseyPhiladelphia FlyersD60111100867120.00%512320.58011413000019000.00%000000.1600000000
17Sven AndrighettoPhiladelphia FlyersLW/RW6011-200252120.00%0305.080000000000000.00%000000.6600000000
18Tyler EnnisPhiladelphia FlyersLW/RW6011-200211130.00%0305.080000000000000.00%000000.6600000000
19Colin WilsonPhiladelphia FlyersC/LW/RW6000-220355120.00%0305.1100000000000060.53%3800000.0000000000
20Griffin ReinhartPhantoms (Phi)D2000100700100.00%13015.220000000003000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne109183553-15715135119205521178.78%62176716.212464115311241961146.85%57200000.6000001112
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 Flyers51200.8773.8523400151220010.000042000
2Al MontoyaPhiladelphia Flyers40300.9083.87124208870010.000024000
Stats d'équipe Total ou en Moyenne91500.8903.8435920232090020.000066000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Al MontoyaPhiladelphia FlyersG311985-02-12No203 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm750,000$750,000$694,915$No750,000$
Alexander EdlerPhiladelphia FlyersD301986-04-20No215 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No3,500,000$3,500,000$
Andrew MacDonaldPhiladelphia FlyersD301986-09-06No204 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,700,000$1,700,000$1,575,141$No1,700,000$
Colin WilsonPhiladelphia FlyersC/LW/RW271989-10-20No216 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm1,000,000$1,000,000$926,554$No1,000,000$1,000,000$1,000,000$
Corey PerryPhiladelphia FlyersRW311985-05-16No213 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No
Henrik ZetterbergPhiladelphia FlyersC/LW361980-10-09No195 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm10,000,000$10,000,000$9,265,537$No10,000,000$
Martin JonesPhiladelphia FlyersG271990-01-09No187 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$5,000,000$
Mike GreenPhiladelphia FlyersD311985-10-11No207 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No3,500,000$3,500,000$
Mikhail SergachevPhiladelphia FlyersD181998-06-25Yes216 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$833,898$No900,000$900,000$900,000$
Mikko RantanenPhiladelphia FlyersLW/RW201996-10-29No211 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$833,898$No900,000$900,000$
Patrick EavesPhiladelphia FlyersLW/RW321984-04-30No200 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No2,500,000$2,500,000$2,500,000$
Phil KesselPhiladelphia FlyersRW291987-10-01No202 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm5,000,000$5,000,000$4,632,768$No5,000,000$5,000,000$
Rick NashPhiladelphia FlyersLW/RW321984-06-15No220 Lbs6 ft4NoNoNo4Sans RestrictionPro & Farm3,500,000$3,500,000$3,242,938$No3,500,000$3,500,000$3,500,000$
Ron HainseyPhiladelphia FlyersD351981-03-23No210 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm2,555,555$2,555,555$2,367,859$No2,555,555$2,555,555$2,555,555$
Sven AndrighettoPhiladelphia FlyersLW/RW231993-03-20No183 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm500,000$500,000$463,277$No
Thomas VanekPhiladelphia FlyersLW/RW321984-01-18No218 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,500,000$2,500,000$2,316,384$No
Trevor van RiemsdykPhiladelphia FlyersD251991-07-23No188 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$300,000$277,966$No
Tyler EnnisPhiladelphia FlyersLW/RW271989-10-05No169 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm950,000$950,000$880,226$No950,000$
Victor RaskPhiladelphia FlyersC231993-02-28No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$900,000$833,898$No
William KarlssonPhiladelphia FlyersC/LW241993-01-07No180 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$500,000$463,277$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2028.15202 Lbs6 ft22.452,497,778$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,955,555$41,755,555$28,355,555$10,455,555$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikko RantanenWilliam KarlssonPhil Kessel40122
2Rick NashHenrik ZetterbergCorey Perry30122
3Thomas VanekVictor RaskPatrick Eaves20122
4Sven AndrighettoColin WilsonTyler Ennis10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mikhail SergachevMike Green40122
2Alexander EdlerRon Hainsey30122
3Andrew MacDonaldTrevor van Riemsdyk20122
4Alexander EdlerMike Green10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikko RantanenWilliam KarlssonPhil Kessel60122
2Rick NashHenrik ZetterbergCorey Perry40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerMike Green60122
2Mikhail SergachevRon Hainsey40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Phil KesselWilliam Karlsson60122
2Mikko RantanenHenrik Zetterberg40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerMike Green60122
2Mikhail SergachevRon Hainsey40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Phil Kessel60122Alexander EdlerMike Green60122
2William Karlsson40122Mikhail SergachevRon Hainsey40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Phil KesselWilliam Karlsson60122
2Mikko RantanenHenrik Zetterberg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander EdlerMike Green60122
2Mikhail SergachevRon Hainsey40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikko RantanenWilliam KarlssonPhil KesselAlexander EdlerMike Green
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikko RantanenWilliam KarlssonPhil KesselAlexander EdlerMike Green
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Thomas Vanek, Patrick Eaves, Victor RaskThomas Vanek, Patrick EavesVictor Rask
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andrew MacDonald, Trevor van Riemsdyk, Mikhail SergachevAndrew MacDonaldTrevor van Riemsdyk, Mikhail Sergachev
Tirs de Pénalité
Phil Kessel, William Karlsson, Mikko Rantanen, Henrik Zetterberg, Corey Perry
Gardien
#1 : Martin Jones, #2 : Al Montoya


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
1Colorado Avalanche1010000024-2000000000001010000024-200.0002460002002251070241110293133.33%5260.00%011625146.22%10923047.39%439147.25%2214257125
2Florida Panthers1010000024-21010000024-20000000000000.000246101100451311210407615400.00%30100.00%011625146.22%10923047.39%439147.25%2618217116
3Ottawa Senators1010000024-2000000000001010000024-200.0002351011002989120441116243133.33%7271.43%111625146.22%10923047.39%439147.25%2315257115
4San Jose Sharks1010000025-31010000025-30000000000000.0002460010102911810041151523200.00%50100.00%011625146.22%10923047.39%439147.25%2215256115
Total615000001825-7312000001012-230300000813-520.1671834522086402046364770211616913218211.11%29679.31%111625146.22%10923047.39%439147.25%14196146437235
6Vegas Golden Knights211000001082110000006331010000045-120.50010192900523079262627062172241600.00%9277.78%011625146.22%10923047.39%439147.25%473247152512
_Since Last GM Reset615000001825-7312000001012-230300000813-520.1671834522086402046364770211616913218211.11%29679.31%111625146.22%10923047.39%439147.25%14196146437235
_Vs Conference2020000048-41010000024-21010000024-200.0004711202200742120330841822397114.29%10280.00%111625146.22%10923047.39%439147.25%493447142211

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
62L1183452204211616913220
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
61500001825
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001012
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000813
Derniers 10 Matchs
WLOTWOTL SOWSOL
150000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
18211.11%29679.31%1
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
63647708640
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
11625146.22%10923047.39%439147.25%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
14196146437235


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2018-09-0614Philadelphia Flyers4Vegas Golden Knights5LSommaire du Match
4 - 2018-09-0820Philadelphia Flyers2Colorado Avalanche4LSommaire du Match
7 - 2018-09-1140San Jose Sharks5Philadelphia Flyers2LSommaire du Match
8 - 2018-09-1243Philadelphia Flyers2Ottawa Senators4LSommaire du Match
10 - 2018-09-1468Vegas Golden Knights3Philadelphia Flyers6WSommaire du Match
13 - 2018-09-1781Florida Panthers4Philadelphia Flyers2LSommaire du Match
15 - 2018-09-1990Philadelphia Flyers-Columbus Blue Jackets-
17 - 2018-09-21109New Jersey Devils-Philadelphia Flyers-
19 - 2018-09-23119Colorado Avalanche-Philadelphia Flyers-
22 - 2018-09-26135Philadelphia Flyers-Boston Bruins-
24 - 2018-09-28155New York Islanders-Philadelphia Flyers-
27 - 2018-10-01167Philadelphia Flyers-Anaheim Ducks-
29 - 2018-10-03184Philadelphia Flyers-Los Angeles Kings-
31 - 2018-10-05203Philadelphia Flyers-San Jose Sharks-
33 - 2018-10-07210Philadelphia Flyers-Phoenix Coyotes-
36 - 2018-10-10234Phoenix Coyotes-Philadelphia Flyers-
38 - 2018-10-12250Chicago Blackhawks-Philadelphia Flyers-
41 - 2018-10-15271Florida Panthers-Philadelphia Flyers-
43 - 2018-10-17283New Jersey Devils-Philadelphia Flyers-
45 - 2018-10-19300Tampa Bay Lightning-Philadelphia Flyers-
49 - 2018-10-23320Philadelphia Flyers-Buffalo Sabres-
50 - 2018-10-24341New York Rangers-Philadelphia Flyers-
51 - 2018-10-25356Philadelphia Flyers-Toronto Maple Leafs-
54 - 2018-10-28373Ottawa Senators-Philadelphia Flyers-
58 - 2018-11-01405Philadelphia Flyers-Pittsburgh Penguins-
63 - 2018-11-06434Columbus Blue Jackets-Philadelphia Flyers-
65 - 2018-11-08446Philadelphia Flyers-Buffalo Sabres-
66 - 2018-11-09460Philadelphia Flyers-Winnipeg Jets-
69 - 2018-11-12476Philadelphia Flyers-Calgary Flames-
71 - 2018-11-14490Philadelphia Flyers-Edmonton Oilers-
72 - 2018-11-15503Philadelphia Flyers-Vancouver Canucks-
75 - 2018-11-18526Detroit Red Wings-Philadelphia Flyers-
77 - 2018-11-20536Nashville Predators-Philadelphia Flyers-
79 - 2018-11-22554Columbus Blue Jackets-Philadelphia Flyers-
80 - 2018-11-23563Philadelphia Flyers-New York Rangers-
81 - 2018-11-24576Philadelphia Flyers-Tampa Bay Lightning-
83 - 2018-11-26589Philadelphia Flyers-Florida Panthers-
85 - 2018-11-28601Philadelphia Flyers-Carolina Hurricanes-
86 - 2018-11-29613Philadelphia Flyers-Nashville Predators-
88 - 2018-12-01626Carolina Hurricanes-Philadelphia Flyers-
90 - 2018-12-03641Calgary Flames-Philadelphia Flyers-
92 - 2018-12-05654St. Louis Blues-Philadelphia Flyers-
93 - 2018-12-06667Philadelphia Flyers-Washington Capitals-
95 - 2018-12-08678Dallas Stars-Philadelphia Flyers-
97 - 2018-12-10694Philadelphia Flyers-New Jersey Devils-
99 - 2018-12-12708Minnesota Wild-Philadelphia Flyers-
101 - 2018-12-14724Boston Bruins-Philadelphia Flyers-
104 - 2018-12-17745Philadelphia Flyers-Montreal Canadiens-
109 - 2018-12-22771Winnipeg Jets-Philadelphia Flyers-
110 - 2018-12-23775Philadelphia Flyers-New York Rangers-
112 - 2018-12-25778Philadelphia Flyers-Boston Bruins-
114 - 2018-12-27798Edmonton Oilers-Philadelphia Flyers-
116 - 2018-12-29807Vancouver Canucks-Philadelphia Flyers-
119 - 2019-01-01834Los Angeles Kings-Philadelphia Flyers-
121 - 2019-01-03846Anaheim Ducks-Philadelphia Flyers-
123 - 2019-01-05860Pittsburgh Penguins-Philadelphia Flyers-
124 - 2019-01-06868Philadelphia Flyers-Minnesota Wild-
128 - 2019-01-10898Detroit Red Wings-Philadelphia Flyers-
129 - 2019-01-11905Philadelphia Flyers-Detroit Red Wings-
131 - 2019-01-13923Tampa Bay Lightning-Philadelphia Flyers-
133 - 2019-01-15932Philadelphia Flyers-Montreal Canadiens-
135 - 2019-01-17952Pittsburgh Penguins-Philadelphia Flyers-
138 - 2019-01-20974Buffalo Sabres-Philadelphia Flyers-
140 - 2019-01-22986Philadelphia Flyers-Columbus Blue Jackets-
141 - 2019-01-23994Philadelphia Flyers-New Jersey Devils-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-251013Philadelphia Flyers-New York Islanders-
146 - 2019-01-281030Washington Capitals-Philadelphia Flyers-
149 - 2019-01-311055Philadelphia Flyers-New York Islanders-
151 - 2019-02-021070Ottawa Senators-Philadelphia Flyers-
154 - 2019-02-051090Washington Capitals-Philadelphia Flyers-
155 - 2019-02-061097Philadelphia Flyers-Toronto Maple Leafs-
157 - 2019-02-081116Philadelphia Flyers-Pittsburgh Penguins-
159 - 2019-02-101130Montreal Canadiens-Philadelphia Flyers-
161 - 2019-02-121138Philadelphia Flyers-Chicago Blackhawks-
163 - 2019-02-141158New York Islanders-Philadelphia Flyers-
164 - 2019-02-151168Philadelphia Flyers-Washington Capitals-
167 - 2019-02-181188Toronto Maple Leafs-Philadelphia Flyers-
170 - 2019-02-211204Philadelphia Flyers-Carolina Hurricanes-
171 - 2019-02-221218New York Rangers-Philadelphia Flyers-
173 - 2019-02-241233Philadelphia Flyers-Dallas Stars-
175 - 2019-02-261250Philadelphia Flyers-St. Louis Blues-
177 - 2019-02-281267Carolina Hurricanes-Philadelphia Flyers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance16,57713,7795,86611,2132,808
Attendance PCT92.09%91.86%97.77%93.44%93.60%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 16748 - 93.04% 1,042,683$3,128,049$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
3,669,612$ 49,955,555$ 33,857,500$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,955,555$ 3,576,400$ 0$ 20 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
39,621,954$ 164 287,884$ 47,212,976$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
47,467,643$ 49,955,555$ 2,723,042$ -5,122,647$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Adam TambelliniAGE:22PO:1OV:0
Alex FriesenAGE:25PO:1OV:0
David BoothAGE:32PO:1OV:0
Brandon MashinterAGE:28PO:1OV:0
Bryce Van BrabantAGE:25PO:1OV:0
Henrik ZetterbergAGE:36PO:1OV:0
Colin WilsonAGE:27PO:1OV:0
Patrick EavesAGE:32PO:1OV:0
Mikko RantanenAGE:20PO:1OV:0
Rene BourqueAGE:35PO:1OV:0
Rick NashAGE:32PO:1OV:0
Thomas VanekAGE:32PO:1OV:0
Sergey KalininAGE:25PO:1OV:0
Chris ThorburnAGE:33PO:1OV:0
Sven AndrighettoAGE:23PO:1OV:0
Tomas JurcoAGE:24PO:1OV:0
Paul BissonnetteAGE:31PO:1OV:0
William KarlssonAGE:24PO:1OV:0
Iiro PakarinenAGE:25PO:1OV:0
Tyler EnnisAGE:27PO:1OV:0
Adam TambelliniAGE:22PO:1OV:0
Alex FriesenAGE:25PO:1OV:0
Bryce Van BrabantAGE:25PO:1OV:0
Henrik ZetterbergAGE:36PO:1OV:0
Colin WilsonAGE:27PO:1OV:0
Sergey KalininAGE:25PO:1OV:0
Marco RoyAGE:22PO:1OV:0
Landon FerraroAGE:25PO:1OV:0
Victor RaskAGE:23PO:1OV:0
William KarlssonAGE:24PO:1OV:0
David BoothAGE:32PO:1OV:0
Corey PerryAGE:31PO:1OV:0
Tomas HykaAGE:23PO:1OV:0
Colin WilsonAGE:27PO:1OV:0
Patrick EavesAGE:32PO:1OV:0
Mikko RantanenAGE:20PO:1OV:0
Rene BourqueAGE:35PO:1OV:0
Rick NashAGE:32PO:1OV:0
Thomas VanekAGE:32PO:1OV:0
Sergey KalininAGE:25PO:1OV:0
Colin McDonaldAGE:32PO:1OV:0
Chris ThorburnAGE:33PO:1OV:0
Phil KesselAGE:29PO:1OV:0
Sven AndrighettoAGE:23PO:1OV:0
Tomas JurcoAGE:24PO:1OV:0
Iiro PakarinenAGE:25PO:1OV:0
Scott KosmachukAGE:22PO:1OV:0
Mike BlundenAGE:30PO:1OV:0
Tyler EnnisAGE:27PO:1OV:0

Défense #1Défense #2Gardien
Adam ComrieAGE:26PO:1OV:0
Alexander EdlerAGE:30PO:1OV:0
Chris CarlisleAGE:22PO:1OV:0
Andrew CampbellAGE:28PO:1OV:0
Andrew MacDonaldAGE:30PO:1OV:0
Mike GreenAGE:31PO:1OV:0
Alex BiegaAGE:28PO:1OV:0
Ron HainseyAGE:35PO:1OV:0
Patrick McNallyAGE:25PO:1OV:0
Matt TennysonAGE:26PO:1OV:0
Clayton StonerAGE:31PO:1OV:0
Cameron GaunceAGE:26PO:1OV:0
*Mikhail SergachevAGE:18PO:1OV:0
Yohann AuvituAGE:27PO:1OV:0
Jakub KindlAGE:29PO:1OV:0
Mattias BackmanAGE:24PO:1OV:0
*Oscar FantenbergAGE:25PO:1OV:0
*Brian CooperAGE:23PO:1OV:0
*Kirill GotovetsAGE:25PO:1OV:0
Griffin ReinhartAGE:22PO:1OV:0
Trevor van RiemsdykAGE:25PO:1OV:0
Robert BortuzzoAGE:27PO:1OV:0
Al MontoyaAGE:31PO:1OV:0
Niklas SvedbergAGE:27PO:1OV:0
Martin JonesAGE:27PO:1OV:0
Eddie LackAGE:29PO:1OV:0
Mike McKennaAGE:33PO:1OV:0
Anthony StolarzAGE:22PO:1OV:0

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Cameron CrottyPhiladelphia Flyers13137
Nick HenryPhiladelphia Flyers13105
Scott WalfordPhiladelphia Flyers13136

Choix au Repêchage

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



[2018-10-03 14:37:57] - TRADE : From Toronto Maple Leafs to Philadelphia Flyers : Al Montoya, Alex Biega.
[2018-10-03 14:37:57] - TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Chad Johnson.
[2018-10-03 14:34:43] - Alexander Edler has been selected as assistant for Philadelphia Flyers.
[2018-10-03 14:34:43] - Unknown Player is no longer as assistant for Philadelphia Flyers.
[2018-10-03 14:34:43] - Thomas Vanek has been selected as assistant for Philadelphia Flyers.
[2018-10-03 14:34:43] - Unknown Player is no longer as assistant for Philadelphia Flyers.
[2018-09-29 10:51:13] - Team Name Change : Adirondack Phantoms changed name to Phantoms
[2018-09-29 10:36:33] - Team Name Change : Philadelphie Flyers changed name to Philadelphia Flyers
[2018-09-23 12:49:25] - TRADE : From Philadelphie Flyers to Boston Bruins : Y:16-RND:2-Phi.
[2018-09-23 12:49:25] - TRADE : From Boston Bruins to Philadelphie Flyers : Rick Nash.
[2018-09-05 22:31:05] - Ron Hainsey was added to Philadelphie Flyers.
[2018-09-03 12:38:13] - TRADE : From New York Islanders to Philadelphie Flyers : Corey Perry, Sven Andrighetto.
[2018-09-03 12:38:13] - TRADE : From Philadelphie Flyers to New York Islanders : Loui Eriksson, Y:15-RND:1-Nas.
[2018-09-02 11:49:25] - TRADE : From Philadelphie Flyers to Chicago Blackhawks : Henrik Sedin.
[2018-08-29 16:16:40] - Oscar Fantenberg was added to Philadelphie Flyers.
[2018-08-28 16:11:04] - TRADE : From Calgary Flames to Philadelphie Flyers : Tyler Ennis.
[2018-08-25 10:14:32] - Philadelphie Flyers hired Mike Vellucci for 1 000 000 $ for 5 year(s).
[2018-08-06 13:15:15] - TRADE : From Philadelphie Flyers to Dallas Stars : Justin Abdelkader.
[2018-08-06 13:15:15] - TRADE : From Dallas Stars to Philadelphie Flyers : Anthony Stolarz, Tomas Hyka, Cameron Crotty (P).
[2018-07-26 08:09:48] - Tyler Biggs has been deleted from Philadelphie Flyers.
[2018-07-26 08:09:45] - Frank Palazzese has been deleted from Philadelphie Flyers.
[2018-07-17 15:17:25] - Niklas Svedberg was added to Philadelphie Flyers.
[2018-07-17 15:17:17] - David Booth was added to Philadelphie Flyers.
[2018-07-16 20:16:14] - Kirill Gotovets was added to Philadelphie Flyers.
[2018-07-16 20:16:14] - Mikhail Sergachev was added to Philadelphie Flyers.
[2018-07-12 19:41:10] - Philadelphie Flyers drafts Scott Walford as the #136 overall pick in the Entry Draft of year 13.
[2018-07-12 19:37:56] - TRADE : From New York Islanders to Philadelphie Flyers : Trevor van Riemsdyk.
[2018-07-12 19:37:56] - TRADE : From Philadelphie Flyers to New York Islanders : Trevor Daley, Y:14-RND:5-Phi.



[2018-10-13 15:11:43] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.2.2
[2018-10-13 15:11:43] Griffin Reinhart of Philadelphia Flyers was sent down to farm.
[2018-10-11 12:47:13] Philadelphia Flyers are expected to be over the salary cap by 255 555 $!
[2018-10-11 12:46:24] Alexander Edler from Philadelphia Flyers is back from Broken Left Thumb Injury.
[2018-10-08 12:09:38] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.2.2
[2018-10-08 12:09:38] Griffin Reinhart of Philadelphia Flyers was sent to pro.
[2018-10-06 13:11:06] Game 20 - Alexander Edler from Philadelphia Flyers is injured (Broken Left Thumb) and is out for 1 week.
[2018-10-04 17:10:57] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.3.0
[2018-10-04 17:10:57] Tyler Ennis of Philadelphia Flyers was sent to pro.
[2018-10-04 17:10:57] Iiro Pakarinen of Philadelphia Flyers was sent down to farm.
[2018-10-04 17:10:57] Landon Ferraro of Philadelphia Flyers was sent down to farm.
[2018-10-04 17:10:57] Alex Biega of Philadelphia Flyers was sent down to farm.
[2018-10-04 17:10:57] Colin Wilson of Philadelphia Flyers was sent to pro.
[2018-10-04 17:10:45] Philadelphia Flyers placed Alex Biega on waivers.
[2018-10-03 14:37:57] TRADE : From Toronto Maple Leafs to Philadelphia Flyers : Al Montoya, Alex Biega.
[2018-10-03 14:37:57] TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Chad Johnson.
[2018-10-03 14:34:43] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.2.2
[2018-10-03 14:34:43] Iiro Pakarinen of Philadelphia Flyers was sent to pro.
[2018-10-03 14:34:43] Tomas Jurco of Philadelphia Flyers was sent down to farm.
[2018-10-03 14:34:43] Landon Ferraro of Philadelphia Flyers was sent to pro.
[2018-10-03 14:34:43] Colin Wilson of Philadelphia Flyers was sent down to farm.
[2018-10-02 18:15:40] Philadelphia Flyers are expected to be over the salary cap by 755 555 $!
[2018-10-01 08:12:02] Philadelphia Flyers are expected to be over the salary cap by 755 555 $!
[2018-09-30 11:03:04] Philadelphia Flyers are expected to be over the salary cap by 755 555 $!
[2018-09-30 11:02:34] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.2.2
[2018-09-29 10:59:54] Philadelphia Flyers are expected to be over the salary cap by 755 555 $!
[2018-09-13 09:53:29] Iiro Pakarinen from Adirondack Phantoms has scored a Hat Trick!



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
13615000001825-7312000001012-230300000813-521834522086402046364770211616913218211.11%29679.31%111625146.22%10923047.39%439147.25%14196146437235
Total Saison Régulière615000001825-7312000001012-230300000813-521834522086402046364770211616913218211.11%29679.31%111625146.22%10923047.39%439147.25%14196146437235