Connexion

Providence Bruins
GP: 10 | W: 8 | L: 2 | OTL: 0 | P: 16
GF: 42 | GA: 25 | PP%: 11.11% | PK%: 82.35%
DG: Jean-Philippe Magny | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #150 vs Rochester Americans
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Centre de jeu
Utica Comets
9-1-0, 18pts
3
FINAL
2 Providence Bruins
8-2-0, 16pts
Team Stats
W6SéquenceW1
4-0-0Fiche domicile3-1-0
5-1-0Fiche domicile5-1-0
9-1-0Derniers 10 matchs8-2-0
4.00Buts par match 4.20
0.90Buts contre par match 2.50
25.00%Pourcentage en avantage numérique11.11%
91.18%Pourcentage en désavantage numérique82.35%
Providence Bruins
8-2-0, 16pts
5
FINAL
1 Calgary Wranglers
0-6-2, 2pts
Team Stats
W1SéquenceL1
3-1-0Fiche domicile0-5-0
5-1-0Fiche domicile0-1-2
8-2-0Derniers 10 matchs0-6-2
4.20Buts par match 1.88
2.50Buts contre par match 4.13
11.11%Pourcentage en avantage numérique11.11%
82.35%Pourcentage en désavantage numérique58.33%
Providence Bruins
8-2-0, 16pts
Jour 24
Rochester Americans
10-0-0, 20pts
Statistiques d’équipe
W1SéquenceW10
3-1-0Fiche domicile4-0-0
5-1-0Fiche visiteur6-0-0
8-2-010 derniers matchs10-0-0
4.20Buts par match 3.70
2.50Buts contre par match 3.70
11.11%Pourcentage en avantage numérique26.47%
82.35%Pourcentage en désavantage numérique100.00%
Rochester Americans
10-0-0, 20pts
Jour 25
Providence Bruins
8-2-0, 16pts
Statistiques d’équipe
W10SéquenceW1
4-0-0Fiche domicile3-1-0
6-0-0Fiche visiteur5-1-0
10-0-010 derniers matchs8-2-0
3.70Buts par match 4.20
0.20Buts contre par match 4.20
26.47%Pourcentage en avantage numérique11.11%
100.00%Pourcentage en désavantage numérique82.35%
Providence Bruins
8-2-0, 16pts
Jour 28
Utica Comets
9-1-0, 18pts
Statistiques d’équipe
W1SéquenceW6
3-1-0Fiche domicile4-0-0
5-1-0Fiche visiteur5-1-0
8-2-010 derniers matchs9-1-0
4.20Buts par match 4.00
2.50Buts contre par match 4.00
11.11%Pourcentage en avantage numérique25.00%
82.35%Pourcentage en désavantage numérique91.18%
Meneurs d'équipe
Buts
Mike Hardman
14
Passes
Mike Hardman
9
Points
Mike Hardman
23
Plus/Moins
Mike Hardman
18

Statistiques d’équipe
Buts pour
42
4.20 GFG
Tirs pour
403
40.30 Avg
Pourcentage en avantage numérique
11.1%
2 GF
Début de zone offensive
41.2%
Buts contre
25
2.50 GAA
Tirs contre
268
26.80 Avg
Pourcentage en désavantage numérique
82.4%%
3 GA
Début de la zone défensive
32.7%
Informations de l'équipe

Directeur généralJean-Philippe Magny
DivisionNORTHEAST
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,102
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 250
Espoirs32


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
1Clark BishopX100.0068427055777582566357585955687048470N0283850,000$
2Dominic ToninatoX100.0074408264817980626667616364707147470N03041,999,999$
3Aatu Raty (R)X100.00683892647876866370626061596465725000212867,500$
4Rasmus Kupari (R)X100.007239896881758065826261696364668050002431,000,000$
5Jimmy Huntington (R)X100.00664075567576825766595860566668425000251842,500$
6Joel KivirantaXX100.00713886666977866361626072636970365000283775,000$
7Jean-Luc Foudy (R)X100.005838786468777563676159606364656647002221,000,000$
8Mike Hardman (R)X100.00773885638179846258566061596567425000251925,000$
9Reece Newkirk (R)X100.00613879567068655462555357546365555000232845,000$
10Nils AmanX100.00673792667679876574646573636466484700242925,000$
11Pontus Holmberg (R)XX100.00693787667280866475676568636667474700251830,000$
12Gabriel CarlssonX100.00403540633580904020404040306668115000272750,000$
13Jacob BrysonX100.006235956764827965306859705068695247002611,900,000$
14Samuel BolducX100.00784089639083816230616064526566674700231892,500$
15Drew Helleson (R)X100.00704074648379836330566259616365725000231925,000$
16Nick Cicek (R)X100.00744270628479825830655463486466435000241822,500$
17Yan Kuznetsov (R)X100.00724086598877845830575660486264725000222825,000$
Rayé
1Juho LammikkoX100.00403540403580904020404040302525115000281725,000$
2Noel Gunler (R)X100.00403540593580904020404040306264115000221862,500$
MOYENNE D’ÉQUIPE100.0065387661717883585058566053636549490
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
1Malcolm Subban100.0061957983626060606050747285635000302775,000$
2Mack Guzda100.0050957292515152515243716369434700231925,000$
Rayé
MOYENNE D’ÉQUIPE100.005695768857565656564773687753490
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Mike HardmanProvidence Bruins (BOS)LW10149231880271482226117.07%517117.16000240000001100.00%1200002.6811000801
2Reece NewkirkProvidence Bruins (BOS)C106814130041029132620.69%0656.5800000000001184.21%7600004.2611000042
3Jimmy HuntingtonProvidence Bruins (BOS)C10481266029318422574.76%319619.6600004000003084.95%9300001.2200000021
4Nick CicekProvidence Bruins (BOS)D102684752910152913.33%1315815.890002300000000%000001.0100100013
5Yan KuznetsovProvidence Bruins (BOS)D103361403871141427.27%911411.450000000000100%000001.0500000011
6Noel GunlerProvidence Bruins (BOS)RW2123-10095277183.70%24422.2700013000000050.00%200001.3500000000
Statistiques d’équipe totales ou en moyenne5230366641255136772487018512.10%3275114.46000515000005285.25%18300001.7622100888
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


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Aatu RatyProvidence Bruins (BOS)C212002-11-14FINYes190 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm867,500$764,652$0$0$No867,500$--------600,000$--------No--------Lien
Clark BishopProvidence Bruins (BOS)C281996-03-29CANNo197 Lbs6 ft1YesNoAssign ManuallyNoNo32024-08-21FalseFalsePro & Farm850,000$749,227$0$0$No850,000$850,000$-------600,000$600,000$-------NoNo-------Lien
Dominic ToninatoProvidence Bruins (BOS)C301994-03-09USANo201 Lbs6 ft2YesNoAssign ManuallyNoNo42024-08-21FalseFalsePro & Farm1,999,999$1,762,886$0$0$No1,999,999$1,999,999$1,999,999$------600,000$600,000$600,000$------NoNoNo------Lien
Drew HellesonProvidence Bruins (BOS)D232001-03-26USAYes190 Lbs6 ft3NoNoTrade2024-02-19NoNo1FalseFalsePro & Farm925,000$815,335$0$0$No---------------------------Lien
Gabriel CarlssonProvidence Bruins (BOS)D271997-01-02SWENo195 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm750,000$661,082$0$0$No750,000$--------600,000$--------No--------Lien
Jacob BrysonProvidence Bruins (BOS)D261997-11-18CANNo174 Lbs5 ft9NoNoN/ANoNo12024-05-19FalseFalsePro & Farm1,900,000$1,674,742$0$0$No---------------------------Lien
Jean-Luc FoudyProvidence Bruins (BOS)C222002-03-13CANYes177 Lbs5 ft11NoNoN/ANoNo22024-08-21FalseFalsePro & Farm1,000,000$881,443$0$0$No1,000,000$--------600,000$--------No--------Lien
Jimmy HuntingtonProvidence Bruins (BOS)C251998-11-18CANYes204 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$742,616$0$0$No---------------------------Lien
Joel KivirantaProvidence Bruins (BOS)LW/RW281996-03-23FINNo185 Lbs5 ft11NoNoN/ANoNo32024-05-19FalseFalsePro & Farm775,000$683,119$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Juho LammikkoProvidence Bruins (BOS)C281996-01-29FINNo191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm725,000$639,046$0$0$No---------------------------Lien
Mack GuzdaProvidence Bruins (BOS)G232001-01-11USANo215 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm925,000$815,335$0$0$No---------------------------Lien
Malcolm SubbanProvidence Bruins (BOS)G301993-12-21CANNo215 Lbs6 ft2NoNoN/ANoNo22024-05-19FalseFalsePro & Farm775,000$683,119$0$0$No775,000$--------775,000$--------No--------Lien
Mike HardmanProvidence Bruins (BOS)LW251999-02-05USAYes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$815,335$0$0$No---------------------------Lien
Nick CicekProvidence Bruins (BOS)D242000-05-29CANYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm822,500$724,987$0$0$No---------------------------Lien
Nils AmanProvidence Bruins (BOS)C242000-02-07SWENo179 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$815,335$0$0$No925,000$--------600,000$--------No--------Lien
Noel GunlerProvidence Bruins (BOS)RW222001-10-07SWEYes176 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm862,500$760,245$0$0$No---------------------------Lien
Pontus HolmbergProvidence Bruins (BOS)LW/RW251999-03-09SWEYes188 Lbs6 ft0NoNoTrade2024-06-07NoNo1FalseFalsePro & Farm830,000$731,598$0$0$No---------------------------Lien
Rasmus KupariProvidence Bruins (BOS)C242000-03-15FINYes201 Lbs6 ft2NoNoTrade2024-01-09NoNo32024-05-19FalseFalsePro & Farm1,000,000$881,443$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Reece NewkirkProvidence Bruins (BOS)C232001-02-20CANYes178 Lbs6 ft0NoNoN/ANoNo22024-05-19FalseFalsePro & Farm845,000$744,820$0$0$No845,000$--------845,000$--------No--------Lien
Samuel BolducProvidence Bruins (BOS)D232000-12-09CANNo220 Lbs6 ft4NoNoTrade2024-02-19NoNo1FalseFalsePro & Farm892,500$786,688$0$0$No---------------------------Lien
Yan KuznetsovProvidence Bruins (BOS)D222002-03-09RUSYes209 Lbs6 ft4NoNoN/ANoNo22024-05-19FalseFalsePro & Farm825,000$727,191$0$0$No825,000$--------825,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2124.90195 Lbs6 ft21.76964,881$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
138122
2Mike HardmanJimmy Huntington30122
3Jimmy Huntington22122
4Mike HardmanReece Newkirk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
138122
2Nick Cicek30122
3Yan Kuznetsov22122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Mike HardmanJimmy Huntington40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Nick Cicek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mike Hardman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Nick Cicek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Nick Cicek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mike Hardman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Nick Cicek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Reece Newkirk, Reece Newkirk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Yan Kuznetsov, , Yan Kuznetsov,
Tirs de pénalité
, , Mike Hardman, ,
Gardien
#1 : , #2 :


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
1Belleville Senators11000000624000000000001100000062421.00061117001613122621231251499175216500.00%110.00%015025459.06%11420256.44%8016149.69%3062451915210758
2Calgary Wranglers11000000514000000000001100000051421.0005813001613122401231251499172614000%30100.00%015025459.06%11420256.44%8016149.69%3062451915210758
3Cleveland Monsters10000010431000000000001000001043121.0004370016131223512312514992510026200.00%000%015025459.06%11420256.44%8016149.69%3062451915210758
4Laval Rocket11000000321000000000001100000032121.00035800161312220123125149920941811100.00%2150.00%015025459.06%11420256.44%8016149.69%3062451915210758
5Syracuse Crunch1010000025-3000000000001010000025-300.0002350016131222912312514994212218300.00%10100.00%015025459.06%11420256.44%8016149.69%3062451915210758
6Toronto Marlies330000001468220000009271100000054161.000142438001613122148123125149980201090300.00%40100.00%015025459.06%11420256.44%8016149.69%3062451915210758
7Tucson Roadrunners11000000633110000006330000000000021.000691500161312258123125149928101137000%3166.67%015025459.06%11420256.44%8016149.69%3062451915210758
8Utica Comets1010000023-11010000023-10000000000000.00024600161312211123125149939106154125.00%30100.00%015025459.06%11420256.44%8016149.69%3062451915210758
Total1072000104225174310000017896410001025178160.80042671090016131224031231251499268784123418211.11%17382.35%015025459.06%11420256.44%8016149.69%3062451915210758
_Since Last GM Reset1072000104225174310000017896410001025178160.80042671090016131224031231251499268784123418211.11%17382.35%015025459.06%11420256.44%8016149.69%3062451915210758
_Vs Conference75200000271893210000011564310000016133100.7142747740016131222701231251499198562415716212.50%11281.82%015025459.06%11420256.44%8016149.69%3062451915210758
_Vs Division250000006601200000023-113000000431102.500671300161312246123125149964206416116.67%30100.00%015025459.06%11420256.44%8016149.69%3062451915210758

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1016W14267109403268784123400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
107200104225
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4310000178
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
64100102517
Derniers 10 matchs
WLOTWOTL SOWSOL
720010
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%17382.35%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
12312514991613122
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
15025459.06%11420256.44%8016149.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3062451915210758


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
13Providence Bruins6Belleville Senators2WSommaire du match
29Providence Bruins5Toronto Marlies4WSommaire du match
628Providence Bruins2Syracuse Crunch5LSommaire du match
838Tucson Roadrunners3Providence Bruins6WSommaire du match
1158Providence Bruins3Laval Rocket2WSommaire du match
1266Toronto Marlies1Providence Bruins5WSommaire du match
1591Toronto Marlies1Providence Bruins4WSommaire du match
17101Providence Bruins4Cleveland Monsters3WXXSommaire du match
20120Utica Comets3Providence Bruins2LSommaire du match
22136Providence Bruins5Calgary Wranglers1WSommaire du match
24150Providence Bruins-Rochester Americans-
25159Rochester Americans-Providence Bruins-
28179Providence Bruins-Utica Comets-
29192Laval Rocket-Providence Bruins-
31207Providence Bruins-Calgary Wranglers-
33223Rochester Americans-Providence Bruins-
37246Charlotte Checkers-Providence Bruins-
40272Providence Bruins-Hartford Wolf Pack-
41281Grand Rapids Griffins-Providence Bruins-
44303Rochester Americans-Providence Bruins-
46317Providence Bruins-Charlotte Checkers-
47334Providence Bruins-Hershey Bears-
50346Coachella Valley Firebirds-Providence Bruins-
52361Providence Bruins-Calgary Wranglers-
55376LeHigh Valley Phantoms-Providence Bruins-
59395Providence Bruins-Milwaukee Admirals-
60408Laval Rocket-Providence Bruins-
64434Tucson Roadrunners-Providence Bruins-
66448Providence Bruins-Chicago Wolves-
68463Abbotsford Canucks-Providence Bruins-
72487Providence Bruins-Wilkes-Barre/Scranton Penguins-
74499Toronto Marlies-Providence Bruins-
76517Providence Bruins-Henderson Silver Knights-
79530Hershey Bears-Providence Bruins-
81543Providence Bruins-LeHigh Valley Phantoms-
87560Ontario Reign-Providence Bruins-
89576Providence Bruins-Manitoba Moose-
90589Providence Bruins-Rochester Americans-
92600Wilkes-Barre/Scranton Penguins-Providence Bruins-
94618Providence Bruins-Springfield Thunderbirds-
97632San Diego Gulls-Providence Bruins-
99649Providence Bruins-Laval Rocket-
100661Utica Comets-Providence Bruins-
102680Providence Bruins-Iowa Wild-
104694Providence Bruins-Syracuse Crunch-
106707Calgary Wranglers-Providence Bruins-
108727Manitoba Moose-Providence Bruins-
110747Providence Bruins-San Jose Barracuda-
113759Colorado Eagles-Providence Bruins-
116787Chicago Wolves-Providence Bruins-
118806Providence Bruins-Cleveland Monsters-
122822Bakersfield Condors-Providence Bruins-
126846Milwaukee Admirals-Providence Bruins-
129871Belleville Senators-Providence Bruins-
144891Providence Bruins-Belleville Senators-
146906Syracuse Crunch-Providence Bruins-
149930San Jose Barracuda-Providence Bruins-
150941Providence Bruins-Texas Stars-
154964Bridgeport Islanders-Providence Bruins-
156972Providence Bruins-Cleveland Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158986Providence Bruins-Bridgeport Islanders-
162998Belleville Senators-Providence Bruins-
1671022Providence Bruins-Belleville Senators-
1681030Rockford IceHogs-Providence Bruins-
1731056Providence Bruins-Utica Comets-
1741066Hershey Bears-Providence Bruins-
1781091Springfield Thunderbirds-Providence Bruins-
1801096Providence Bruins-Toronto Marlies-
1831109Providence Bruins-Rockford IceHogs-
1871126Hartford Wolf Pack-Providence Bruins-
1901133Providence Bruins-Toronto Marlies-
1921148Providence Bruins-Rockford IceHogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance5,6502,756
Assistance PCT70.63%68.90%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2102 - 70.05% 82,931$331,722$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
234,603$ 2,026,250$ 1,534,702$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,445$ 234,603$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,653,776$ 171 10,445$ 1,786,095$




Providence Bruins 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

Providence Bruins 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

Providence Bruins 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

Providence Bruins 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 Bruins 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