Connexion

Providence Bruins
GP: 1 | W: 0 | L: 1
GF: 4 | GA: 6 | PP%: 100.00% | PK%: 66.67%
DG: Jason Tremblay | Morale : 48 | Moyenne d’équipe : 61
Prochains matchs #10 vs Syracuse Crunch
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Centre de jeu
Providence Bruins
0-1-0, 0pts
4
FINAL
6 Syracuse Crunch
1-0-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-1-0Derniers 10 matchs1-0-0
4.00Buts par match 6.00
6.00Buts contre par match 4.00
100.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique0.00%
Providence Bruins
0-1-0, 0pts
Jour 3
Syracuse Crunch
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-0
0-1-010 derniers matchs1-0-0
4.00Buts par match 6.00
6.00Buts contre par match 6.00
100.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique0.00%
Syracuse Crunch
1-0-0, 2pts
Jour 5
Providence Bruins
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
6.00Buts par match 4.00
4.00Buts contre par match 4.00
33.33%Pourcentage en avantage numérique100.00%
0.00%Pourcentage en désavantage numérique66.67%
Syracuse Crunch
1-0-0, 2pts
Jour 7
Providence Bruins
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
6.00Buts par match 4.00
4.00Buts contre par match 4.00
33.33%Pourcentage en avantage numérique100.00%
0.00%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Brett Sutter
1
Passes
Adam Raska
2
Points
Adam Raska
2
Plus/Moins
Oskar Steen
1
Victoires
William Christopoulos
0
Pourcentage d’arrêts
William Christopoulos
0.854

Statistiques d’équipe
Buts pour
4
4.00 GFG
Tirs pour
37
37.00 Avg
Pourcentage en avantage numérique
100.0%
1 GF
Début de zone offensive
27.1%
Buts contre
6
6.00 GAA
Tirs contre
41
41.00 Avg
Pourcentage en désavantage numérique
66.7%%
1 GA
Début de la zone défensive
41.4%
Informations de l'équipe

Directeur généralJason Tremblay
EntraîneurJohn Gruden
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 100
Espoirs17


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
1Cole Smith0XX100.0083457870708186645763607460484847696402810$
2Oskar Steen0XXX100.0066508565668688636561646058696758586302611,000,000$
3Jeff Malott0XX100.007845556277778063556262666557525865620271750,000$
4Alex Turcotte0X100.006038807072787264666061626066657479620231905,000$
5Shane Bowers0XXX100.006942906280797764616062596367687479620242750,000$
6Brett Sutter0XXX100.0060497858727479576556595553878447626003610$
7Adam Raska0XX100.007945676068728160576060585859485769590221848,333$
8Steenn Pasichnuk 0XX100.0072457155817775555055565755555761505802910$
9Vincent Arseneau0XXX100.007659715880777654515057525878715464580321750,000$
10Jacob Doty0X100.006858555383727151565049545274685755560301750,000$
11Daniel DAmato0X100.006444575673697053555551525157527562550231750,000$
12Graham McPhee (R)0X100.007560625462707256605352576064438454550251750,000$
13Andy Welinski0X100.006843936379767659306257624980744873642301750,000$
14Dillon Simpson0X100.006547915481878853305555634677714958630311750,000$
15Anthony Bitetto75X100.007047765578838255305455594683723452620331750,000$
16Zac Jones0X100.005640866278848455305459596065656767620234800,000$
17Jeremy Groleau0X100.007646895884687755305654604766665960620241950,000$
18Josh Teves 23X100.006357716277758054305758636051515449600291750,000$
19Ethan Frisch (R)0X100.0077607157797572493050565750525248695902310$
Rayé
1Brandon Hawkins0XXX100.007055806178787560615655575853596239590302750,000$
MOYENNE D’ÉQUIPE100.00704975607677785748565759556562586260
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
1Felix Sandstrom0100.00747977797374767574747368766380732271775,000$
2William Christopoulos0100.007070757974696872736966646465807003010$
Rayé
1Daniil Chechelev0100.00667070646668686565656565607024640232750,000$
2Francis Marotte0100.00606668806567656668656045454224630281775,000$
MOYENNE D’ÉQUIPE100.0068717376707069707068666161605268
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Gruden67757279747076USA512750,000$


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
1Adam RaskaProvidence Bruins (BOS)LW/RW1022100043030%02222.8701101000010062.50%811001.7500000000
2Cole SmithProvidence Bruins (BOS)LW/RW1022020106030%21717.2801111000000040.00%2000002.3100000000
3Brett SutterProvidence Bruins (BOS)C/LW/RW111200010110100.00%01818.4310111000010042.86%701002.1700000000
4Shane BowersProvidence Bruins (BOS)C/LW/RW11120000181212.50%02727.3300000000020042.86%741001.4600000000
5Jeff MalottProvidence Bruins (BOS)LW/RW1101-3403132133.33%21818.0000000000000046.15%1311001.1100000000
6Andy WelinskiProvidence Bruins (BOS)D1011000001100%12828.070000000002000%000000.7100000000
7Alex TurcotteProvidence Bruins (BOS)C1011-300214120%12626.6000000000020050.00%1411000.7500000000
8Oskar SteenProvidence Bruins (BOS)C/LW/RW11011000151120.00%01212.580000000000000%000001.5900000000
9Anthony BitettoProvidence Bruins (BOS)D1000-200111010%12121.020000000002000%01000000000000
10Steenn Pasichnuk Providence Bruins (BOS)LW/RW1000-300002000%31717.450000000001000%00100000000000
11Daniel DAmatoProvidence Bruins (BOS)RW1000000100000%011.000000000000000%00000000000000
12Ethan FrischProvidence Bruins (BOS)D1000000020000%11313.550000000001000%00000000000000
13Dillon SimpsonProvidence Bruins (BOS)D1000000000000%000.930000000000000%00000000000000
14Josh Teves Providence Bruins (BOS)D1000000101000%21515.950000000000000%00100000000000
15Zac JonesProvidence Bruins (BOS)D1000000000000%01313.150000100000000%00100000000000
16Vincent ArseneauProvidence Bruins (BOS)C/LW/RW1000100111010%01313.430000000000000%10000000000000
17Jeremy GroleauProvidence Bruins (BOS)D1000-200101000%02727.330001100001000%00200000000000
Statistiques d’équipe totales ou en moyenne174812-106012123771410.81%1329417.35123350000190045.71%70810000.8100000000
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
1William ChristopoulosProvidence Bruins (BOS)10100.8546.00600064116000010000
Statistiques d’équipe totales ou en moyenne10100.8546.0060006411600010000


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 restantSalaire moyenSalaire moyen 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
Adam RaskaProvidence Bruins (BOS)LW/RW222001-09-25 07:14:42No178 Lbs5 ft10NoNoN/ANoNo1Pro & Farm848,333$727,143$848,333$727,143$0$0$No------------------Lien
Alex TurcotteProvidence Bruins (BOS)C232001-02-26 06:23:53No185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm905,000$775,714$905,000$775,714$0$0$No------------------Lien
Andy WelinskiProvidence Bruins (BOS)D301993-04-27No201 Lbs6 ft1NoNoN/ANoNo1Farm Only750,000$642,857$750,000$642,857$0$0$No------------------Lien
Anthony BitettoProvidence Bruins (BOS)D331990-07-15No222 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------Lien / Lien NHL
Brandon HawkinsProvidence Bruins (BOS)C/LW/RW301994-04-25 09:34:07No198 Lbs5 ft10NoNoN/ANoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$--------No--------
Brett SutterProvidence Bruins (BOS)C/LW/RW361987-06-02No200 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$642,857$0$0$No------------------Lien
Cole SmithProvidence Bruins (BOS)LW/RW281996-01-25 01:53:50No195 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$642,857$0$0$No------------------
Daniel DAmatoProvidence Bruins (BOS)RW232001-04-08 07:33:07No175 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------
Daniil ChechelevProvidence Bruins (BOS)G232001-02-23 07:20:24No187 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$--------No--------Lien
Dillon SimpsonProvidence Bruins (BOS)D311993-02-10No204 Lbs6 ft2NoNoN/ANoNo1Farm Only750,000$642,857$750,000$642,857$0$0$No------------------Lien
Ethan FrischProvidence Bruins (BOS)D232000-10-29 03:12:03Yes194 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$642,857$0$0$No------------------
Felix SandstromProvidence Bruins (BOS)G271997-01-12No191 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$664,286$775,000$664,286$0$0$No------------------Lien
Francis MarotteProvidence Bruins (BOS)G281995-05-01 09:56:18No200 Lbs6 ft1NoNoN/ANoNo1Pro & Farm775,000$664,286$775,000$664,286$0$0$No------------------
Graham McPheeProvidence Bruins (BOS)LW251998-07-24 11:07:18Yes175 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------
Jacob DotyProvidence Bruins (BOS)RW301993-06-19No212 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------Lien
Jeff MalottProvidence Bruins (BOS)LW/RW271996-08-07 02:40:47No201 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------Lien
Jeremy GroleauProvidence Bruins (BOS)D241999-10-25No193 Lbs6 ft3NoNoN/ANoNo1Pro & Farm950,000$814,286$950,000$814,286$0$0$No------------------Lien
Josh Teves Providence Bruins (BOS)D291995-02-18 13:43:04No170 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------
Oskar SteenProvidence Bruins (BOS)C/LW/RW261998-03-09No188 Lbs5 ft9NoNoN/ANoNo1Pro & Farm1,000,000$857,143$1,000,000$857,143$0$0$No------------------Lien
Shane BowersProvidence Bruins (BOS)C/LW/RW241999-07-30No186 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$--------No--------Lien
Steenn Pasichnuk Providence Bruins (BOS)LW/RW291995-04-05 07:16:26No190 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$642,857$0$0$No------------------
Vincent ArseneauProvidence Bruins (BOS)C/LW/RW321992-03-26No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------Lien
William ChristopoulosProvidence Bruins (BOS)G301994-02-01 05:52:08No194 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$642,857$0$0$No------------------
Zac JonesProvidence Bruins (BOS)D232000-10-18 11:08:08No178 Lbs5 ft10NoNoN/ANoNo4Pro & Farm800,000$685,714$800,000$685,714$0$0$No800,000$800,000$800,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.33192 Lbs6 ft11.25783,472$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Steenn Pasichnuk Jeff MalottAlex Turcotte30122
2Brett SutterCole SmithShane Bowers30122
3Oskar SteenAdam RaskaVincent Arseneau20122
4Shane BowersAlex TurcotteAdam Raska20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy WelinskiJosh Teves 30122
2Anthony BitettoJeremy Groleau30122
3Zac JonesEthan Frisch20122
4Jeremy GroleauAndy Welinski20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole SmithBrett SutterJeff Malott60122
2Adam RaskaAlex TurcotteShane Bowers40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony BitettoAndy Welinski60122
2Zac JonesJeremy Groleau40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Shane BowersAlex Turcotte60122
2Adam RaskaJeff Malott40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy WelinskiAnthony Bitetto60122
2Ethan FrischJeremy Groleau40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Shane Bowers60122Andy WelinskiAnthony Bitetto60122
2Alex Turcotte40122Zac JonesJeremy Groleau40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jeff MalottShane Bowers60122
2Alex TurcotteAdam Raska40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy WelinskiZac Jones60122
2Anthony BitettoJeremy Groleau40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex TurcotteJeff MalottCole SmithAnthony BitettoAndy Welinski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex TurcotteJeff MalottCole SmithAnthony BitettoAndy Welinski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Shane Bowers, Alex Turcotte, Adam RaskaShane Bowers, Adam RaskaShane Bowers
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeremy Groleau, Anthony Bitetto, Andy WelinskiJeremy GroleauEthan Frisch, Jeremy Groleau
Tirs de pénalité
Jeff Malott, Cole Smith, Adam Raska, Shane Bowers, Alex Turcotte
Gardien
#1 : William Christopoulos, #2 : Felix Sandstrom
Lignes d’attaque personnalisées en prolongation
Cole Smith, Alex Turcotte, Steenn Pasichnuk , Brett Sutter, Adam Raska, Shane Bowers, Shane Bowers, Jeff Malott, Oskar Steen, Jacob Doty, Vincent Arseneau
Lignes de défense personnalisées en prolongation
Zac Jones, Andy Welinski, Ethan Frisch, Jeremy Groleau, Anthony Bitetto


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
1Syracuse Crunch1010000046-2000000000001010000046-200.000481200112037138160411361211100.00%3166.67%081942.11%112937.93%132259.09%189239188
Total1010000046-2000000000001010000046-200.000481200112037138160411361211100.00%3166.67%081942.11%112937.93%132259.09%189239188
_Since Last GM Reset1010000046-2000000000001010000046-200.000481200112037138160411361211100.00%3166.67%081942.11%112937.93%132259.09%189239188
_Vs Conference1010000046-2000000000001010000046-200.000481200112037138160411361211100.00%3166.67%081942.11%112937.93%132259.09%189239188
_Vs Division1000000046-2000000000001000000046-200.000481200112037138160411361211100.00%3166.67%081942.11%112937.93%132259.09%189239188

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
10L1481237411361200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101000046
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000046
Derniers 10 matchs
WLOTWOTL SOWSOL
010000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11100.00%3166.67%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1381601120
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
81942.11%112937.93%132259.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
189239188


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
12Providence Bruins 4Syracuse Crunch6ALSommaire du match
310Providence Bruins -Syracuse Crunch-
518Syracuse Crunch-Providence Bruins -
726Syracuse Crunch-Providence Bruins -
934Providence Bruins -Syracuse Crunch-
1142Syracuse Crunch-Providence Bruins -
1350Providence Bruins -Syracuse Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,880,333$ 1,505,333$ 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$ 12 0$ 0$




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