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Connexion

Flyers
GP: 22 | W: 16 | L: 6
GF: 78 | GA: 59 | PP%: 23.29% | PK%: 80.33%
DG: Libre | Morale : 99 | Moyenne d’équipe : 66
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Centre de jeu
Flyers
16-6-0, 32pts
3
FINAL
4 Kings
14-7-0, 28pts
Team Stats
W1SéquenceL1
8-2-0Fiche domicile7-4-0
8-4-0Fiche domicile7-3-0
8-2-0Derniers 10 matchs4-6-0
3.55Buts par match 3.29
2.68Buts contre par match 2.81
23.29%Pourcentage en avantage numérique14.06%
80.33%Pourcentage en désavantage numérique81.36%
Kings
14-7-0, 28pts
4
FINAL
6 Flyers
16-6-0, 32pts
Team Stats
L1SéquenceW1
7-4-0Fiche domicile8-2-0
7-3-0Fiche domicile8-4-0
4-6-0Derniers 10 matchs8-2-0
3.29Buts par match 3.55
2.81Buts contre par match 2.68
14.06%Pourcentage en avantage numérique23.29%
81.36%Pourcentage en désavantage numérique80.33%
Meneurs d'équipe
Buts
Seth Jarvis
24
Passes
Brett Howden
18
Points
Seth Jarvis
34
Plus/Moins
Seth Jarvis
14
Victoires
Jonas Johansson
16
Pourcentage d’arrêts
Jonas Johansson
0.922

Statistiques d’équipe
Buts pour
78
3.55 GFG
Tirs pour
747
33.95 Avg
Pourcentage en avantage numérique
23.3%
17 GF
Début de zone offensive
39.5%
Buts contre
59
2.68 GAA
Tirs contre
715
32.50 Avg
Pourcentage en désavantage numérique
80.3%%
12 GA
Début de la zone défensive
38.0%
Informations de l'équipe

Directeur généralLibre
EntraîneurDave Hakstol
DivisionMétropolitaine
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,854
Billets de saison2,400


Informations de la formation

Équipe Pro39
Équipe Mineure19
Limite contact 58 / 60
Espoirs23


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 SPÂgeContratSalaire
1Brett Howden (R)X100.0079566275848480738793847925727158827502623,000,000$
2Seth Jarvis (R)X100.007445929076867886507975722585594890740222894,167$
3Adam Gaudette (R)X100.0071379477765785848084786372797742927202721,250,000$
4Sam Steel (R)X100.006945858076848378737670712578715891710262800,000$
5Patrick Brown (R)X100.008460687381828771796764732572847190690322750,000$
6Nathan Walker (R)X100.007765787573808469816762702571776392670301800,000$
7Alexander Volkov (R)X100.005419996875717973476971727276726180670263800,000$
8Mikey Eyssimont (R)X100.007866617575837375507065692573594983672273750,000$
9Mikhail Vorobyev (R)X100.003722996974657775687269696275735356660272700,000$
10Tom Kuhnhackl (R)X100.006438886874837262536158775887774484650322700,000$
11Darren Archibald (R)X100.005977636478475672466865735166652485630343575,000$
12Dalton Smith (R)X100.005745856475707564516259675984775749630313575,000$
13Mikey Anderson (R)X100.0076507389818883794077689125796653897802533,000,000$
14Jordan Harris (R)X100.006850778480867676407266772576594965722233842,500$
15Jyrki Jokipakka (R)X100.004413996875627193257472816377763280690321800,000$
16Jacob Larsson (R)X100.007243906675708168257670742570695485680273800,000$
17Nicolas Beaudin (R)X100.006635997575596878257875662570737579680243800,000$
18Aaron Ness (R)X100.004418996970737759306053765490794747650343600,000$
Rayé
1Jayson Megna (R)X100.007540927377808868796561702569867469670341575,000$
2Gerald Mayhew (R)X100.008568647377636561506964626588835946650313575,000$
3Mikhail Maltsev (R)X96.657840986979826764597370672553526274650261809,167$
4Tanner Laczynski (R)X100.006940827479797068586262652568605324632273762,500$
5Andy Andreoff (R)X100.005346626673707166636368622568665724620331600,000$
6Ben Street (R)X100.004124996873687657665755686197902925620371575,000$
7Jonas Rondbjerg (R)X100.006240736665636363426056602562525025580252766,667$
8Samuel Fagemo (R)X100.005440746863636364435462502565515024570242795,000$
9Max Willman (R)X100.005645706661676762425954582561585125570292750,000$
10Jackson Cates (R)X100.006040736863646562565756602562535025571263775,000$
11Jacob Peterson (R)X100.005840706863626263586157542563515024572243842,500$
12Pavel Dorofeyev (R)X100.005740676959595860555454542561505025550232925,000$
13Pierre-Olivier Joseph (R)X95.437750727879848078407368732576615174710241863,333$
14John Gilmour (R)X100.005336946873807762306057645584784525640313575,000$
15Louie Belpedio (R)X100.007428996573777553305249664974735724630281575,000$
16Seth Helgeson (R)X100.005035816281566671254743785581744925630331575,000$
17Mark Alt (R)X100.004827816876757648304946624886814825610322575,000$
18Jakub Jerabek (R)X100.004727986374607465306561635177642725610331575,000$
MOYENNE D’ÉQUIPE99.75634182717472746950666368397469515665
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 SPÂgeContratSalaire
1Jonas Johansson (R)99.008088818682919794808175808455928402821,500,000$
2Alex Lyon (R)100.008477768279858585868075828750938103131,000,000$
Rayé
1Samuel Ersson (R)100.00827069777583838584753075535034762243859,167$
MOYENNE D’ÉQUIPE99.6782787582798688888379607975527380
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Hakstol8585928781761CAN5425,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Seth JarvisFlyers (PHI)RW2224103414203241103355523.30%1547721.69931219670000565248.15%54346141.4300000530
2Brett HowdenFlyers (PHI)C186182411235475647123112.77%736820.451786510000351055.22%46968001.3000010260
3Adam GaudetteFlyers (PHI)C2251419-50020609123395.49%1242519.3304414530112291057.58%4881510000.8900000010
4Sam SteelFlyers (PHI)C225121732023285214359.62%626512.08022090112292055.49%18294001.2800000201
5Mikey AndersonFlyers (PHI)D225121702715505746191410.87%2751923.63268669011149000%01717000.6500021103
6Nathan WalkerFlyers (PHI)LW226713-52410422759171910.17%1241418.830114500000131144.44%2774000.6300002004
7Jyrki JokipakkaFlyers (PHI)D220111111007464322180%1947821.76022645000238000%01310000.4600000001
8Mikey EyssimontFlyers (PHI)LW22461014412536173392012.12%740618.48123762000000339.29%2888000.4900212101
9Alexander VolkovFlyers (PHI)RW2236940011384611256.52%928012.7500017000001045.71%3552000.6400000002
10Jacob LarssonFlyers (PHI)D22167495223115566.67%2034715.7900003000015000%0314000.4000010110
11Mikhail VorobyevFlyers (PHI)C224373203274063810.00%623010.4700003000042050.00%13276000.6100000020
12Patrick BrownFlyers (PHI)RW22437-9491555225312357.55%1339117.78202948000042045.16%3169000.3600012100
13Nicolas BeaudinFlyers (PHI)D22156420112614797.14%2436416.580000800009000%067000.3300000000
14Pierre-Olivier JosephFlyers (PHI)D192462451539352011810.00%2143522.90224666000043000%0813000.2800210000
15Jordan HarrisFlyers (PHI)D2005521003926291270%2742521.26011343000030000%096000.2400000000
16Darren ArchibaldFlyers (PHI)LW2231442016112071015.00%41687.6600000101110142.86%714000.4700000010
17Mikhail MaltsevFlyers (PHI)LW2031440030172231313.64%423811.93000000000131144.00%2515000.3400000100
18Tom KuhnhacklFlyers (PHI)RW22213220121394622.22%21647.4900001101120150.00%624000.3600000001
19Aaron NessFlyers (PHI)D5022500371200%68416.890000000005000%001000.4700000000
20Jayson MegnaFlyers (PHI)C4000100732040%1338.4500000000000061.54%131100000000000
21Dalton SmithFlyers (PHI)LW2000-100322200%0168.040000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne39678127205682409050859074723339210.44%242653516.5017304781593235938416954.14%1498158139140.6300477141413
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
1Jonas JohanssonFlyers (PHI)2016400.9222.44120320496282690200202112
2Alex LyonFlyers (PHI)20110.9063.9312200885330000220000
Statistiques d’équipe totales ou en moyenne2216510.9202.58132520577133020202222112


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Aaron NessFlyers (PHI)D341990-05-18 17:11:13Yes183 Lbs5 ft10NoNoN/ANoNo3Pro & Farm600,000$0$0$No600,000$600,000$-------NoNo-------
Adam GaudetteFlyers (PHI)C271996-10-03 05:10:31Yes170 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------
Alex LyonFlyers (PHI)G311992-12-09 07:25:34Yes201 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------
Alexander VolkovFlyers (PHI)RW261997-08-02 10:19:34Yes192 Lbs6 ft1NoNoTrade2024-01-28NoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Andy AndreoffFlyers (PHI)LW331991-05-17 23:11:13Yes201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Ben StreetFlyers (PHI)C371987-02-13 23:11:13Yes190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Brett HowdenFlyers (PHI)C261998-03-29 03:03:41Yes203 Lbs6 ft2NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Dalton SmithFlyers (PHI)LW311992-06-30 12:49:11Yes205 Lbs6 ft2NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Darren ArchibaldFlyers (PHI)LW341990-02-09 03:35:07Yes210 Lbs6 ft3NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Gerald MayhewFlyers (PHI)RW311992-12-31 11:44:27Yes170 Lbs5 ft10NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Jackson CatesFlyers (PHI)C261997-09-28 13:43:14Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------
Jacob LarssonFlyers (PHI)D271997-04-29 08:51:10Yes197 Lbs6 ft2NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Jacob PetersonFlyers (PHI)LW241999-07-19 13:45:34Yes181 Lbs6 ft1NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------
Jakub JerabekFlyers (PHI)D331991-05-12 06:19:24Yes200 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Jayson MegnaFlyers (PHI)C341990-02-01 17:11:13Yes195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
John GilmourFlyers (PHI)D311993-05-17 05:58:32Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Jonas JohanssonFlyers (PHI)G281995-09-19 10:58:03Yes220 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------
Jonas RondbjergFlyers (PHI)LW251999-03-31 04:26:52Yes196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm766,667$0$0$No766,667$--------No--------
Jordan HarrisFlyers (PHI)D232000-07-07 13:49:06Yes189 Lbs5 ft11NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------
Jyrki JokipakkaFlyers (PHI)D321991-08-20 23:11:13Yes196 Lbs6 ft3NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------
Louie BelpedioFlyers (PHI)D281996-05-14 11:34:54Yes192 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Mark AltFlyers (PHI)D321991-10-18 23:11:13Yes201 Lbs6 ft4NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Max WillmanFlyers (PHI)C291995-02-13 10:34:30Yes183 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Mikey AndersonFlyers (PHI)D251999-05-25 12:51:39Yes195 Lbs6 ft0NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Mikey EyssimontFlyers (PHI)LW271996-09-09 12:07:55Yes180 Lbs6 ft0NoNoTrade2024-01-28NoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Mikhail MaltsevFlyers (PHI)LW261998-03-12 13:12:49Yes220 Lbs6 ft3NoNoTrade2024-01-28NoNo1Pro & Farm809,167$0$0$No------------------
Mikhail VorobyevFlyers (PHI)C271997-01-05 08:21:53Yes194 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Nathan WalkerFlyers (PHI)LW301994-02-07 04:43:18Yes187 Lbs5 ft9NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------
Nicolas BeaudinFlyers (PHI)D241999-10-07 03:17:55Yes168 Lbs5 ft11NoNoTrade2024-01-28NoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Patrick BrownFlyers (PHI)RW321992-05-29 05:42:52Yes210 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Pavel DorofeyevFlyers (PHI)LW232000-10-26 04:32:28Yes168 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------
Pierre-Olivier JosephFlyers (PHI)D241999-07-01 13:28:21Yes185 Lbs6 ft2NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------
Sam SteelFlyers (PHI)C261998-02-03 03:05:49Yes184 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Samuel ErssonFlyers (PHI)G241999-10-20 03:10:24Yes176 Lbs6 ft2NoNoN/ANoNo3Pro & Farm859,167$0$0$No859,167$859,167$-------NoNo-------
Samuel FagemoFlyers (PHI)LW242000-03-14 04:34:53Yes190 Lbs5 ft11NoNoN/ANoNo2Pro & Farm795,000$0$0$No795,000$--------No--------
Seth HelgesonFlyers (PHI)D331990-10-08 17:11:13Yes223 Lbs6 ft5NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Seth JarvisFlyers (PHI)RW222002-02-01 04:37:00Yes175 Lbs5 ft10NoNoN/ANoNo2Pro & Farm894,167$0$0$No894,167$--------No--------
Tanner LaczynskiFlyers (PHI)C271997-06-01 12:02:26Yes190 Lbs6 ft1NoNoN/ANoNo3Pro & Farm762,500$0$0$No762,500$762,500$-------NoNo-------
Tom KuhnhacklFlyers (PHI)RW321992-01-21 17:39:57Yes196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3928.41192 Lbs6 ft12.15879,103$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikey EyssimontBrett HowdenSeth Jarvis35122
2Nathan WalkerAdam GaudettePatrick Brown35122
3Darren ArchibaldSam SteelAlexander Volkov25122
4Dalton SmithMikhail VorobyevTom Kuhnhackl5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikey AndersonJordan Harris35122
2Jyrki JokipakkaNicolas Beaudin35122
3Jacob LarssonAaron Ness30122
4Mikey AndersonJordan Harris0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikey EyssimontBrett HowdenSeth Jarvis60122
2Nathan WalkerAdam GaudettePatrick Brown40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikey AndersonJordan Harris60122
2Jyrki JokipakkaNicolas Beaudin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett HowdenSeth Jarvis60122
2Adam GaudetteSam Steel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikey AndersonJordan Harris60122
2Jyrki JokipakkaNicolas Beaudin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Howden60122Mikey AndersonJordan Harris60122
2Seth Jarvis40122Jyrki JokipakkaNicolas Beaudin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett HowdenSeth Jarvis60122
2Adam GaudetteSam Steel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikey AndersonJordan Harris60122
2Jyrki JokipakkaNicolas Beaudin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikey EyssimontBrett HowdenSeth JarvisMikey AndersonJordan Harris
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikey EyssimontBrett HowdenSeth JarvisMikey AndersonJordan Harris
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Volkov, Mikhail Vorobyev, Tom KuhnhacklAlexander Volkov, Mikhail VorobyevTom Kuhnhackl
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Larsson, Aaron Ness, Jyrki JokipakkaJacob LarssonAaron Ness, Jyrki Jokipakka
Tirs de pénalité
Brett Howden, Seth Jarvis, Adam Gaudette, Sam Steel, Patrick Brown
Gardien
#1 : Jonas Johansson, #2 : Alex Lyon
Lignes d’attaque personnalisées en prolongation
Brett Howden, Seth Jarvis, Adam Gaudette, Sam Steel, Patrick Brown, Mikey Eyssimont, Mikey Eyssimont, Nathan Walker, Alexander Volkov, Mikhail Vorobyev, Tom Kuhnhackl
Lignes de défense personnalisées en prolongation
Mikey Anderson, Jordan Harris, Jyrki Jokipakka, Nicolas Beaudin, Jacob Larsson


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
TotalDomicileVisiteur
# 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
1Bruins44000000196132200000010462200000092781.000192847002030271128220281238810849669011327.27%13284.62%132359254.56%31156954.66%17733752.52%474280482196369186
2Canadiens743000001820-232100000862422000001014-480.5711830481020302712242202812388241768516422731.82%20385.00%032359254.56%31156954.66%17733752.52%474280482196369186
3Capitals54100000171342200000075232100000108280.8001729461020302711832202812388158466913130516.67%17570.59%032359254.56%31156954.66%17733752.52%474280482196369186
4Kings6420000024204321000001411332100000109180.6672440640020302712122202812388208712212310220.00%11281.82%132359254.56%31156954.66%17733752.52%474280482196369186
Total221660000078591910820000039261312840000039336320.727781272052020302717472202812388715242242508731723.29%611280.33%232359254.56%31156954.66%17733752.52%474280482196369186
_Since Last GM Reset221660000078591910820000039261312840000039336320.727781272052020302717472202812388715242242508731723.29%611280.33%232359254.56%31156954.66%17733752.52%474280482196369186
_Vs Conference1612400000543915761000002515109630000029245240.75054871412020302715352202812388507171220385631523.81%501080.00%132359254.56%31156954.66%17733752.52%474280482196369186
_Vs Division54100000171342200000075232100000108280.8001729461020302711832202812388158466913130516.67%17570.59%032359254.56%31156954.66%17733752.52%474280482196369186

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2232W17812720574771524224250820
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2216600007859
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
108200003926
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
128400003933
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
731723.29%611280.33%2
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
22028123882030271
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
32359254.56%31156954.66%17733752.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
474280482196369186


Derniers matchs 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
11Flyers1Canadiens3ALR2Sommaire du match
39Flyers1Canadiens5ALSommaire du match
517Canadiens1Flyers3BWR2Sommaire du match
725Canadiens4Flyers3BLXSommaire du match
933Flyers3Canadiens2AWR2Sommaire du match
1141Canadiens1Flyers2BWSommaire du match
1349Flyers5Canadiens4AWR2Sommaire du match
1557Flyers5Bruins1AWSommaire du match
1761Flyers4Bruins1AWR2Sommaire du match
1965Bruins1Flyers5BWSommaire du match
2169Bruins3Flyers5BWR2Sommaire du match
2985Flyers1Capitals3ALR5Sommaire du match
3187Flyers5Capitals3AWSommaire du match
3389Capitals3Flyers4BWXR5Sommaire du match
3591Capitals2Flyers3BWSommaire du match
3793Flyers4Capitals2AWR5Sommaire du match
4399Flyers3Kings2AWSommaire du match
44100Flyers4Kings3AWSommaire du match
45101Kings2Flyers6BWSommaire du match
46102Kings5Flyers2BLSommaire du match
47103Flyers3Kings4ALSommaire du match
48104Kings4Flyers6BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance18,53910,000
Assistance PCT92.70%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2854 - 95.13% 146,374$1,463,744$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,428,501$ 1,692,584$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Flyers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Flyers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Flyers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Flyers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Flyers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA