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Providence
GP: 82 | W: 44 | L: 30 | OTL: 8 | P: 96
GF: 330 | GA: 312 | PP%: 22.16% | PK%: 81.88%
DG: Richard Gadbois | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Rochester
38-36-8, 84pts
6
FINAL
3 Providence
44-30-8, 96pts
Team Stats
W1SéquenceW1
18-20-3Fiche domicile22-17-2
20-16-5Fiche domicile22-13-6
7-3-0Derniers 10 matchs6-3-1
3.85Buts par match 4.02
4.01Buts contre par match 3.80
24.38%Pourcentage en avantage numérique22.16%
75.35%Pourcentage en désavantage numérique81.88%
Grand Rapids
27-45-10, 64pts
1
FINAL
7 Providence
44-30-8, 96pts
Team Stats
L1SéquenceW1
16-23-2Fiche domicile22-17-2
11-22-8Fiche domicile22-13-6
4-6-0Derniers 10 matchs6-3-1
3.57Buts par match 4.02
4.49Buts contre par match 3.80
23.64%Pourcentage en avantage numérique22.16%
74.75%Pourcentage en désavantage numérique81.88%
Meneurs d'équipe
Buts
Oscar Moller
41
Passes
Luca Sbisa
55
Points
Oscar Moller
75
Plus/Moins
Mikhail Grigorenko
23
Victoires
Carter Hutton
30
Pourcentage d’arrêts
Carter Hutton
0.918

Statistiques d’équipe
Buts pour
330
4.02 GFG
Tirs pour
3771
45.99 Avg
Pourcentage en avantage numérique
22.2%
80 GF
Début de zone offensive
42.8%
Buts contre
312
3.80 GAA
Tirs contre
3515
42.87 Avg
Pourcentage en désavantage numérique
81.9%%
56 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralRichard Gadbois
EntraîneurChuck Weber
DivisionNord
ConférenceConference est
CapitaineBrent Seabrook
Assistant #1Mike Richards
Assistant #2Oscar Moller


Informations de l’aréna

Capacité3,000
Assistance2,775
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure21
Limite contact 42 / 50
Espoirs10


Historique d'équipe

Saison actuelle44-30-8 (96PTS)
Historique126-97-30 (0.498%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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 moyen
1Mikhail GrigorenkoXX100.00612693778782907287677266795238425000281900,000$
2Oscar Moller (A)XX100.00642698727583806870687170758876215000332500,000$
3Rocco GrimaldiXX100.00701993756878816770647060826054495000294900,000$
4Valtteri FilppulaXXX100.00592289617277907379726861848983150003811,350,000$
5Jimmy VeseyXX100.007531767488819674707472648059455050002931,200,000$
6Melker KarlssonXX100.00682988726473847471707065776259415000313950,000$
7Mike Richards (A)XX98.008640654769749170927071767499991950003721,200,000$
8Kyle OkposoX100.006932897077858770696370578465573250003411,203,000$
9Tom KuhnhacklXX100.007329917587717669716768687966623850003031,200,000$
10T.J. GaliardiXXX100.007429966673777872716774738081732250003431,200,000$
11Linus OmarkXX100.00602195597064846950636562757961225000351650,000$
12Luca SbisaX100.00684067787980965915854866272563650003211,000,000$
13Brent Seabrook (C)X100.006332845080739755315448897496941950003721,180,000$
14Mark BorowieckiX100.00815441589072874750454986626763295000321800,000$
15Radim SimekX100.00853081747979814850474889756363435000293900,000$
16Chris WidemanX100.00743072747779865450584785747370205000323750,000$
17Mark PysykX100.006132947481868658505358827762575350003021,000,500$
Rayé
1Joonas DonskoiXX100.007127958081829672706776657965664150003031,200,000$
2Mike HoffmanXX100.00733692768081967470697659847262505000323750,000$
MOYENNE D’ÉQUIPE99.8970318469787887666263657277726533500
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 moyen
1David Rittich100.0066878880788687848483836261545000292500,000$
2Carter Hutton100.0062868679738787848380748686235000363500,000$
Rayé
MOYENNE D’ÉQUIPE100.006487878076878784848279747439500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chuck Weber75787679828069USA4731,000,000$


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
1Oscar MollerProvidence (BOS)LW/RW75413475-816049743348321512.28%19155420.7212152776261011101454151.45%24100020.9711000614
2Jimmy VeseyProvidence (BOS)LW/RW72264672-446014686322922348.07%17141419.65810186424200041032451.27%19700101.0223000472
3Luca SbisaProvidence (BOS)D6895564-11083011187175631315.14%129162923.9641014862320222168300%000000.7900024132
4Valtteri FilppulaProvidence (BOS)C/LW/RW82204363-1112048151211431769.48%9147017.9351116462471011312052.08%221400000.8602000141
5Joonas DonskoiProvidence (BOS)LW/RW70263662-9240751023501062727.43%13154922.145152068260101101902150.53%37600000.8014000331
6Melker KarlssonProvidence (BOS)LW/RW8221385963207286267791787.87%13125615.3216723940000302145.63%10300000.9401000303
7Chris WidemanProvidence (BOS)D81203757-1442098771705412211.76%152185022.84111728902880001229320%000000.6200000204
8Brent SeabrookProvidence (BOS)D8015405563953953153711039.80%151178322.2981220612811123231200%000000.6200010002
9Mikhail GrigorenkoProvidence (BOS)C/LW8226275323180361502567619510.16%9115114.0522416830001152254.36%163900000.9200000443
10T.J. GaliardiProvidence (BOS)C/LW/RW59223153-2120063153290962027.59%25134922.87610165820101161761249.37%134100100.7906000143
11Mike RichardsProvidence (BOS)C/LW511932517640196147207591349.18%19120923.72411154917700021175157.57%196100000.8435000324
12Tom KuhnhacklProvidence (BOS)LW/RW82183351746010777223671608.07%14114714.0004410580001442147.31%16700000.8900000312
13Mike HoffmanProvidence (BOS)LW/RW37172138-312051421695012310.06%881622.0857123512410141045041.12%19700010.9301000231
14Radim SimekProvidence (BOS)D69829375480865813440715.97%133132919.274711541770001142100%000000.5600000112
15Mark PysykProvidence (BOS)D8262632-109522489426666.38%76102612.524593566000082000%000000.6200001023
16Miles WoodBostonLW/RW26141529-2220433915036949.33%256221.62257206910112985149.55%11100011.0301000110
17Rocco GrimaldiProvidence (BOS)LW/RW75118192160373611135619.91%95817.75000000000134147.30%14800000.6500000100
18Kyle OkposoProvidence (BOS)RW81136190195422192245014.13%34635.7300011000081147.54%6100000.8202001210
19Mark BorowieckiProvidence (BOS)D8221214-29210146446936582.90%127114013.901011138000056000%000000.2500011000
20Mark GiordanoBostonD8145-112015413387.69%816320.47000616000013000%000000.6100000000
21Linus OmarkProvidence (BOS)LW/RW82224-100416335206.06%01902.3300024000010041.38%8700000.4200000000
22Trevor ZegrasBostonC/LW/RW10332002471140%02626.2801105000020056.41%3900002.2800000001
23Tim StützleBostonC/LW12021000292322.22%02525.9300023000041060.38%5300001.5400000001
Statistiques d’équipe totales ou en moyenne1428339578917-2869755148815573839114726908.83%9362369416.598214823081329385510582012471852.61%893500240.77726047383739
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
1Carter HuttonProvidence (BOS)54301860.9183.42324412318522630430.500225422742
2David RittichProvidence (BOS)26131120.9034.1715410010711060201.00032649120
Statistiques d’équipe totales ou en moyenne80432980.9133.6647851232923369063258071862


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 Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Lien
Brent SeabrookProvidence (BOS)D371985-04-20No234 Lbs6 ft3NoNoNoNo2Pro & Farm1,180,000$6,901$0$0$No1,180,000$
Carter HuttonProvidence (BOS)G361985-12-19 10:48:01No209 Lbs6 ft1NoNoNoNo3Pro & Farm500,000$2,924$0$0$No500,000$500,000$Lien
Chris WidemanProvidence (BOS)D321990-01-07 05:31:56No180 Lbs5 ft10NoNoNoNo3Pro & Farm750,000$4,386$0$0$No750,000$750,000$Lien
David RittichProvidence (BOS)G291992-08-08 05:28:46No208 Lbs6 ft3NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$Lien
Jimmy VeseyProvidence (BOS)LW/RW291993-05-26No210 Lbs6 ft3NoNoNoNo3Pro & Farm1,200,000$7,018$0$0$No1,200,000$1,200,000$Lien
Joonas DonskoiProvidence (BOS)LW/RW301992-04-13No194 Lbs6 ft0NoNoNoNo3Pro & Farm1,200,000$7,018$0$0$No1,200,000$1,200,000$Lien
Kyle OkposoProvidence (BOS)RW341988-04-16No223 Lbs6 ft0NoNoNoNo1Pro & Farm1,203,000$7,035$0$0$NoLien
Linus OmarkProvidence (BOS)LW/RW351987-02-05No191 Lbs5 ft10NoNoNoNo1Pro & Farm650,000$3,801$0$0$NoLien
Luca SbisaProvidence (BOS)D321990-01-01No218 Lbs6 ft2NoNoNoNo1Pro & Farm1,000,000$5,848$0$0$NoLien
Mark BorowieckiProvidence (BOS)D321989-07-12No209 Lbs6 ft2NoNoNoNo1Pro & Farm800,000$4,678$0$0$NoLien
Mark PysykProvidence (BOS)D301992-01-11No206 Lbs6 ft1NoNoNoNo2Pro & Farm1,000,500$5,851$0$0$No1,000,500$Lien
Melker KarlssonProvidence (BOS)LW/RW311990-07-18No186 Lbs6 ft0NoNoNoNo3Pro & Farm950,000$5,556$0$0$No950,000$950,000$Lien
Mike Hoffman (contrat à 1 volet)Providence (BOS)LW/RW321989-11-24No190 Lbs6 ft0NoNoYesYes3Pro & Farm750,000$7,500$0$No750,000$750,000$Lien
Mike RichardsProvidence (BOS)C/LW371985-02-11No208 Lbs5 ft11NoNoNoNo2Pro & Farm1,200,000$7,018$0$0$No1,200,000$
Mikhail GrigorenkoProvidence (BOS)C/LW281994-05-16No212 Lbs6 ft3NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Oscar MollerProvidence (BOS)LW/RW331989-01-22No195 Lbs5 ft11NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$
Radim SimekProvidence (BOS)D291992-09-20 12:10:43No200 Lbs5 ft11NoNoNoNo3Pro & Farm900,000$5,263$0$0$No900,000$900,000$Lien
Rocco GrimaldiProvidence (BOS)LW/RW291993-02-08No183 Lbs5 ft6NoNoNoNo4Pro & Farm900,000$5,263$0$0$No900,000$900,000$900,000$Lien
T.J. GaliardiProvidence (BOS)C/LW/RW341988-04-22No202 Lbs6 ft2NoNoNoNo3Pro & Farm1,200,000$7,018$0$0$No1,200,000$1,200,000$Lien
Tom KuhnhacklProvidence (BOS)LW/RW301992-01-21No197 Lbs6 ft2NoNoNoNo3Pro & Farm1,200,000$7,018$0$0$No1,200,000$1,200,000$Lien
Valtteri FilppulaProvidence (BOS)C/LW/RW381984-03-20No189 Lbs6 ft0NoNoNoNo1Pro & Farm1,350,000$7,895$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2132.24202 Lbs6 ft02.24944,452$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1T.J. GaliardiMike RichardsOscar Moller35122
2Jimmy VeseyValtteri FilppulaMelker Karlsson30122
3Tom KuhnhacklMikhail GrigorenkoKyle Okposo25122
4Rocco GrimaldiMike RichardsLinus Omark10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca SbisaChris Wideman35122
2Radim SimekBrent Seabrook30122
3Mark PysykMark Borowiecki25122
4Luca SbisaChris Wideman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1T.J. GaliardiMike RichardsOscar Moller50122
2Jimmy VeseyValtteri FilppulaMelker Karlsson50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca SbisaChris Wideman50122
2Radim SimekBrent Seabrook50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mike RichardsT.J. Galiardi50122
2Oscar MollerValtteri Filppula50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca SbisaChris Wideman50122
2Radim SimekBrent Seabrook50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mike Richards50122Luca SbisaChris Wideman50122
2T.J. Galiardi50122Radim SimekBrent Seabrook50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mike RichardsT.J. Galiardi50122
2Oscar MollerValtteri Filppula50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca SbisaChris Wideman50122
2Radim SimekBrent Seabrook50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
T.J. GaliardiMike RichardsOscar MollerLuca SbisaChris Wideman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
T.J. GaliardiMike RichardsOscar MollerLuca SbisaChris Wideman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tom Kuhnhackl, Mikhail Grigorenko, Kyle OkposoTom Kuhnhackl, Mikhail GrigorenkoKyle Okposo
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Pysyk, Mark Borowiecki, Radim SimekMark PysykMark Borowiecki, Radim Simek
Tirs de pénalité
Mike Richards, T.J. Galiardi, Oscar Moller, Valtteri Filppula, Jimmy Vesey
Gardien
#1 : Carter Hutton, #2 : David Rittich
Lignes d’attaque personnalisées en prolongation
Mike Richards, T.J. Galiardi, Oscar Moller, Valtteri Filppula, Jimmy Vesey, Melker Karlsson, Melker Karlsson, Tom Kuhnhackl, Mikhail Grigorenko, Kyle Okposo, Rocco Grimaldi
Lignes de défense personnalisées en prolongation
Luca Sbisa, Chris Wideman, Radim Simek, Brent Seabrook, Mark Pysyk


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
1Abbotsford20100001510-51010000026-41000000134-110.250581300132108801589122212131260101923220369222.22%10190.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
2Bakersfield2110000067-11010000024-21100000043120.50061016001321088015811222121312601016926282714535.71%13376.92%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
3Bridgeport403010001622-62010100088020200000814-620.25016284400132108801515912221213126010120270596816318.75%25964.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
4Charlotte413000001320-72110000086220200000514-920.25013253800132108801517712221213126010120256347013215.38%14471.43%11981375352.78%1882357552.64%772144653.39%1995133818776381113568
5Cleveland632000102216631100010118332100000118380.66722396100132108801526812221213126010126982521302328.70%25292.00%11981375352.78%1882357552.64%772144653.39%1995133818776381113568
6Coachella Valley640011003325833000000171073100110016151110.917335992001321088015284122212131260101226645296331030.30%19384.21%11981375352.78%1882357552.64%772144653.39%1995133818776381113568
7Eagles3100110016115200011009901100000072550.83316244000132108801515112221213126010114433144812433.33%70100.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
8Grand Rapids660000003714233300000019514330000001899121.0003770107001321088015324122212131260101194644211619842.11%19194.74%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
9Hartford411011001721-421001000108220100100713-650.62517324900132108801518412221213126010118060318318422.22%13469.23%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
10Hershey623010001923-4311010001213-131200000710-360.500193150001321088015262122212131260101286718911625520.00%35780.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
11Iowa22000000725110000004221100000030341.000713200113210880157312221213126010174238265240.00%40100.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
12Laval622000021719-23120000069-3310000021110160.50017284500132108801525112221213126010120466328527311.11%15473.33%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
13Lehigh Valley412010001918121100000111012010100088040.50019355410132108801518412221213126010124981568617317.65%21576.19%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
14Manitoba20200000510-51010000025-31010000035-200.00051015001321088015901222121312601018129153310220.00%5180.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
15Ontario22000000734110000003121100000042241.000713200013210880151021222121312601016620124513430.77%50100.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
16Rochester633000002223-1312000001014-432100000129360.500224365001321088015284122212131260101241624910528828.57%21480.95%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
17Rockford2110000078-11010000024-21100000054120.500713200013210880158512221213126010193238367114.29%4250.00%11981375352.78%1882357552.64%772144653.39%1995133818776381113568
18San Diego21000001871110000005321000000134-130.7508132100132108801583122212131260101801922471119.09%10190.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
19San Jose2010001089-11010000035-21000001054120.5008132110132108801594122212131260101801412331417.14%50100.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
20Springfield301011001416-21000010067-12010100089-130.50014264000132108801515912221213126010113426225416531.25%8187.50%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
21Syracuse211000006421010000034-11100000030320.5006111701132108801596122212131260101932616337114.29%80100.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
22Texas201010008801010000034-11000100054120.50081523001321088015931222121312601016534123311218.18%5180.00%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
23Wilkes-Barre/Scranton422000001816221100000844211000001012-240.50018335111132108801519812221213126010119153367613215.38%18383.33%01981375352.78%1882357552.64%772144653.39%1995133818776381113568
Total82343008424330312184117170421016414915411713042141661633960.58533059292233132108801537711222121312601013515103472114823618022.16%3095681.88%41981375352.78%1882357552.64%772144653.39%1995133818776381113568
_Since Last GM Reset82343008424330312184117170421016414915411713042141661633960.58533059292233132108801537711222121312601013515103472114823618022.16%3095681.88%41981375352.78%1882357552.64%772144653.39%1995133818776381113568
_Vs Conference562521052122332171628141003010120952528111102202113122-9660.5892334236562113210880152575122212131260101244472953210312325021.55%2254679.56%31981375352.78%1882357552.64%772144653.39%1995133818776381113568
_Vs Division24187011129580151295000104638812920110249427430.896951772720113210880151132122212131260101934274173409942223.40%771383.12%11981375352.78%1882357552.64%772144653.39%1995133818776381113568

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8296W1330592922377135151034721148233
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8234308424330312
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117174210164149
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117134214166163
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3618022.16%3095681.88%4
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
1222121312601011321088015
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
1981375352.78%1882357552.64%772144653.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1995133818776381113568


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
11Laval3Providence2BLSommaire du match
315Providence3Laval4ALXXSommaire du match
526Providence4Coachella Valley5ALXSommaire du match
740Coachella Valley3Providence8BWSommaire du match
1057Cleveland1Providence0BLSommaire du match
1168Providence3Cleveland4ALSommaire du match
1376Providence5Grand Rapids3AWSommaire du match
1590Rochester4Providence6BWSommaire du match
18107Grand Rapids2Providence8BWSommaire du match
20116Providence3Hershey5ALSommaire du match
21128San Diego3Providence5BWSommaire du match
23136Providence3Rochester6ALSommaire du match
25153Providence4Wilkes-Barre/Scranton8ALSommaire du match
27163Hershey5Providence1BLSommaire du match
29177Hershey4Providence6BWSommaire du match
31188Providence0Hershey2ALSommaire du match
33201Providence5San Jose4AWXXSommaire du match
34208Texas4Providence3BLSommaire du match
37226San Jose5Providence3BLSommaire du match
38233Providence5Texas4AWXSommaire du match
40245Providence4Ontario2AWSommaire du match
43260Hershey4Providence5BWXSommaire du match
44271Providence3Abbotsford4ALXXSommaire du match
46282Charlotte4Providence3BLSommaire du match
49297Cleveland3Providence6BWSommaire du match
51309Providence2Cleveland1AWSommaire du match
53316Providence6Laval3AWSommaire du match
54325Providence3Hartford4ALXSommaire du match
56335Manitoba5Providence2BLSommaire du match
58350Providence6Rochester2AWSommaire du match
60362Cleveland4Providence5BWXXSommaire du match
62376Laval4Providence0BLSommaire du match
64385Providence7Eagles2AWSommaire du match
66395Iowa2Providence4BWSommaire du match
68410Providence3Syracuse0AWSommaire du match
70420Syracuse4Providence3BLSommaire du match
72434Providence4Grand Rapids3AWSommaire du match
74445Eagles5Providence4BLXSommaire du match
75454Providence3Rochester1AWSommaire du match
77468Wilkes-Barre/Scranton0Providence6BWSommaire du match
79479Providence4Bakersfield3AWSommaire du match
81493Eagles4Providence5BWXSommaire du match
82499Providence6Cleveland3AWSommaire du match
84512Providence4Lehigh Valley3AWXSommaire du match
87522Providence3Iowa0AWSommaire du match
88530Hartford4Providence5BWSommaire du match
90543Providence5Bridgeport8ALSommaire du match
92554Bridgeport4Providence5BWXSommaire du match
95573Bakersfield4Providence2BLSommaire du match
97584Providence6Coachella Valley5AWXSommaire du match
99594Wilkes-Barre/Scranton4Providence2BLSommaire du match
101605Providence4Hershey3AWSommaire du match
102613Providence3Bridgeport6ALSommaire du match
104624Rockford4Providence2BLSommaire du match
105634Providence9Grand Rapids3AWSommaire du match
107648Ontario1Providence3BWSommaire du match
109660Providence5Rockford4AWSommaire du match
111671Hartford4Providence5BWXSommaire du match
113682Providence6Coachella Valley5AWSommaire du match
115695Springfield7Providence6BLXSommaire du match
117703Providence4Hartford9ALSommaire du match
119716Providence6Wilkes-Barre/Scranton4AWSommaire du match
120723Bridgeport4Providence3BLSommaire du match
123742Laval2Providence4BWSommaire du match
125752Providence4Lehigh Valley5ALSommaire du match
127766Providence3Manitoba5ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128768Lehigh Valley8Providence6BLSommaire du match
132788Providence4Charlotte6ALSommaire du match
133792Abbotsford6Providence2BLSommaire du match
136806Providence1Charlotte8ALSommaire du match
138816Lehigh Valley2Providence5BWSommaire du match
141833Providence3San Diego4ALXXSommaire du match
142839Grand Rapids2Providence4BWSommaire du match
146863Coachella Valley3Providence4BWSommaire du match
149883Coachella Valley4Providence5BWSommaire du match
151890Providence2Springfield4ALSommaire du match
152899Providence2Laval3ALXXSommaire du match
155911Charlotte2Providence5BWSommaire du match
158934Rochester4Providence1BLSommaire du match
159938Providence6Springfield5AWXSommaire du match
163956Rochester6Providence3BLSommaire du match
168976Grand Rapids1Providence7BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance75,37138,398
Assistance PCT91.92%93.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2775 - 92.50% 145,597$5,969,457$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,864,152$ 1,908,350$ 1,908,350$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,160$ 1,869,992$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 17,008$ 17,008$




Providence 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
1Mark Arcobello244661372035701214087948.31%30420617.2415536821201105354.72%00.9711
2Michael Chaput24672112184-5481204687399.74%32389215.82102333107000134156.40%10.9512
3Garrett Wilson20293711642715239724267013.88%19382418.93272552174000157250.08%40.8616
4Nathan Walker2145490144-51162752077377.33%33288913.50611178100015152.88%01.0000
5Mark Barberio23626112138-271492442244166.25%385469719.901341542210003000%00.5900

Providence 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
1Pavel Francouz113495080.9133.81658324341848280020.66721
2Samuel Montembeault1244068140.9044.06720524148850700590.45522
3Jeff Zatkoff66000.9551.67360021022000000

Providence 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
Saison régulière
2082254503234249317-6841132600011117161-4441121903223132156-24682494416905272100719276492394186358288183882114993526117.33%3306779.70%51641310752.82%1539322347.75%690137550.18%1889127320076421070523
2182244107712307350-4341131705411166171-541112402301141179-38733075338403210611281103655114012181228803924107182615573747820.86%3619673.41%21865361851.55%1920384749.91%761148151.38%1899126319826511089538
2182244107712307350-4341131705411166171-541112402301141179-38733075338403210611281103655114012181228803924107182615573747820.86%3619673.41%21865361851.55%1920384749.91%761148151.38%1899126319826511089538
Total Saison régulière246100970221548919886331235349010920458413451234748012628461473-122759191651257081035230223936101513277331433912199785288422034356106522521.13%94516782.33%1556081059552.93%54011026552.62%2273421353.95%594339905676190432961676
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Providence 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

Providence 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