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Connexion

Providence
GP: 82 | W: 46 | L: 26 | OTL: 10 | P: 102
GF: 261 | GA: 239 | PP%: 13.29% | PK%: 84.21%
DG: Richard Gadbois | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Syracuse
37-41-4, 78pts
0
FINAL
1 Providence
46-26-10, 102pts
Team Stats
L2SéquenceW2
23-15-3Fiche domicile24-11-6
14-26-1Fiche domicile22-15-4
4-5-1Derniers 10 matchs7-3-0
3.02Buts par match 3.18
3.28Buts contre par match 2.91
19.88%Pourcentage en avantage numérique13.29%
81.31%Pourcentage en désavantage numérique84.21%
Providence
46-26-10, 102pts
6
FINAL
4 Laval
44-33-5, 93pts
Team Stats
W2SéquenceL1
24-11-6Fiche domicile19-17-5
22-15-4Fiche domicile25-16-0
7-3-0Derniers 10 matchs7-2-1
3.18Buts par match 3.41
2.91Buts contre par match 3.24
13.29%Pourcentage en avantage numérique20.25%
84.21%Pourcentage en désavantage numérique79.00%
Meneurs d'équipe
Anthony ManthaButs
Anthony Mantha
26
Passes
Joonas Donskoi
38
Points
Joonas Donskoi
59
Plus/Moins
Mark Pysyk
20
Louis DomingueVictoires
Louis Domingue
29
Pourcentage d’arrêts
Carter Hutton
0.925

Statistiques d’équipe
Buts pour
261
3.18 GFG
Tirs pour
3018
36.80 Avg
Pourcentage en avantage numérique
13.3%
46 GF
Début de zone offensive
42.8%
Buts contre
239
2.91 GAA
Tirs contre
2788
34.00 Avg
Pourcentage en désavantage numérique
84.2%%
51 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralRichard Gadbois
EntraîneurLuke Richardson
DivisionNord
ConférenceConference est
CapitaineBrent Seabrook
Assistant #1T.J. Galiardi
Assistant #2Nick Bjugstad


Informations de l’aréna

Capacité3,000
Assistance2,279
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure20
Limite contact 38 / 50
Espoirs13


Historique d'équipe

Saison actuelle46-26-10 (102PTS)
Historique0-0-0
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
1Michael ChaputXX100.00592782688471937088696761696153225000313502,000$
2Charlie CoyleXX100.00783095768786997072677360826955475000312700,000$
3Joonas DonskoiXX100.006827937981809672706973647967693650003121,200,000$
4Dmitrij JaskinXX99.006932847586769076727272647457594350003031,050,000$
5Boo NievesXXX100.00633293758871866872676761805758455000293750,000$
6Melker KarlssonXX100.00672887696472847371707063776459365000322950,000$
7Anthony ManthaXX100.00763992849493887074687457825752625000281925,000$
8Tom KuhnhacklXX100.007129877489697668716767667970653350003121,200,000$
9T.J. Galiardi (A)XXX97.007029936374747872696871717685751850003521,200,000$
10Nikita TryamkinX100.007330677491829955555651857954464550002821,350,000$
11Brent Seabrook (C)X99.006032844580709756315648897498941550003811,180,000$
12Mark BorowieckiX100.00785040559269874450434684617167255000333950,000$
13Jake McCabeX100.00673687789193884753474690695867555000291850,000$
14Chris WidemanX100.00703070727878865350554984737572165000332750,000$
15Mark PysykX100.006032957282868656505155827566614750003111,000,500$
Rayé
1Nick Bjugstad (A)XXX100.007129967288827773987070608868604650003031,050,000$
MOYENNE D’ÉQUIPE99.6969328471847888646562627176676337500
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
1Carter Hutton100.0061868679738787858480748988215000372500,000$
2Louis Domingue98.0064828582789090888982756867445000313500,000$
Rayé
MOYENNE D’ÉQUIPE99.006384868176898987878175797833500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson87827981909978CAN5231,500,000$


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
1Joonas DonskoiProvidence (BOS)LW/RW75213859133207885256801918.20%14151620.2239124420700071683146.72%24400000.7823000333
2Nikita TryamkinProvidence (BOS)D82173653101020122771705910110.00%115182922.319817842730003220110%000000.5800000253
3T.J. GaliardiProvidence (BOS)C/LW/RW72183553024064124220581818.18%13156021.6738114124500082225247.88%160200110.6826000242
4Anthony ManthaProvidence (BOS)LW/RW812623491656209396290811938.97%5145718.00336562150003574155.09%16700000.6700013221
5Radim SimekBostonD759394810106011558126361037.14%137161921.5931013692670002208420%000000.5900000125
6Dmitrij JaskinProvidence (BOS)LW/RW752126476261076106298862237.05%22160321.384596926500032084152.31%28100000.5903011104
7Brent SeabrookProvidence (BOS)D81163147572204263104488115.38%128174721.5851015402750000246220%000000.5400121131
8Charlie CoyleProvidence (BOS)C/RW79192544755580102219691688.68%6132416.77268291560003374152.47%107500000.6600000432
9Nick BjugstadProvidence (BOS)C/LW/RW731625411126050131187731488.56%7135118.51066271880003802160.07%148000000.6101000014
10Mark PysykProvidence (BOS)D8272835201410255267334910.45%99125015.24112370000107110%100000.5600110321
11Melker KarlssonProvidence (BOS)LW/RW8216183472406069164511259.76%789810.961019300001113144.62%6500010.7600000513
12Tom KuhnhacklProvidence (BOS)LW/RW8292433113356757176531455.11%7107613.13055171040000181245.16%9300000.6100000112
13Jake McCabeProvidence (BOS)D7811182976325636412739908.66%162171121.94224562360000226000%000000.3400004123
14Chris WidemanProvidence (BOS)D8271926-1715113588931377.87%104135216.492352596000085210%000000.3800001201
15Boo NievesProvidence (BOS)C/LW/RW821014243135188310825769.26%87118.680113180001252050.67%89200000.6700001120
16Michael ChaputProvidence (BOS)C/LW792121436015225415323.70%13754.750221130001130056.06%19800000.7500000010
17Mark BorowieckiProvidence (BOS)D7447113361056212392317.39%304385.93000240000320060.00%500000.5000002101
18Riley NashBostonC/LW/RW2223506013345611283.57%336516.590003200001321058.33%20400000.2700000011
Statistiques d’équipe totales ou en moyenne135623142165213176511511501302273485719948.45%8682219016.3638791175782627000362003391752.78%630700120.594132513303337
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
1Louis DomingueProvidence (BOS)49291460.9152.8829762114316810110.73315498533
2Carter HuttonProvidence (BOS)1911520.9252.5210962046614000001857212
3Alexandar GeorgiyevBoston51400.8953.5430500181720001.000355000
Statistiques d’équipe totales ou en moyenne73412380.9162.844378412072467011187270745


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
Anthony Mantha (contrat à 1 volet)Providence (BOS)LW/RW281994-09-16CANNo233 Lbs6 ft5NoNoN/AYesYes1FalseFalsePro & Farm925,000$9,250$0$No---------------------------Lien / Lien NHL
Boo NievesProvidence (BOS)C/LW/RW291994-01-23USANo213 Lbs6 ft3NoNoFree AgentNoNo32024-09-28FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Brent SeabrookProvidence (BOS)D381985-04-20CANNo234 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,180,000$0$0$No---------------------------
Carter HuttonProvidence (BOS)G371985-12-19CANNo209 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Charlie Coyle (contrat à 1 volet)Providence (BOS)C/RW311992-03-02USANo230 Lbs6 ft3NoNoN/AYesYes2FalseFalsePro & Farm700,000$7,000$0$No700,000$--------700,000$--------No--------Lien / Lien NHL
Chris WidemanProvidence (BOS)D331990-01-07USANo180 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Dmitrij JaskinProvidence (BOS)LW/RW301993-03-23RUSNo220 Lbs6 ft2NoNoTrade2024-10-02NoNo3FalseFalsePro & Farm1,050,000$0$0$No1,050,000$1,050,000$-------1,050,000$1,050,000$-------NoNo-------Lien
Jake McCabeProvidence (BOS)D291993-10-12USANo212 Lbs6 ft1NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Joonas DonskoiProvidence (BOS)LW/RW311992-04-13FINNo194 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Louis DomingueProvidence (BOS)G311992-03-06CANNo220 Lbs6 ft3NoNoFree AgentNoNo32024-12-04FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Mark BorowieckiProvidence (BOS)D331989-07-12CANNo209 Lbs6 ft2NoNoFree AgentNoNo32024-09-28FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Mark PysykProvidence (BOS)D311992-01-11CANNo206 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,500$0$0$No---------------------------Lien
Melker KarlssonProvidence (BOS)LW/RW321990-07-18SWENo186 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Michael ChaputProvidence (BOS)C/LW311992-04-09CANNo204 Lbs6 ft2NoNoFree AgentNoNo32024-10-11FalseFalsePro & Farm502,000$0$0$No502,000$502,000$-------502,000$502,000$-------NoNo-------Lien
Nick Bjugstad (contrat à 1 volet)Providence (BOS)C/LW/RW301992-07-17USANo224 Lbs6 ft6NoNoN/AYesYes3FalseFalsePro & Farm1,050,000$10,500$0$No1,050,000$1,050,000$-------1,050,000$1,050,000$-------NoNo-------Lien / Lien NHL
Nikita TryamkinProvidence (BOS)D281994-08-30RUSNo267 Lbs6 ft7NoNoFree AgentNoNo22024-09-26FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien
T.J. GaliardiProvidence (BOS)C/LW/RW351988-04-22CANNo202 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Tom KuhnhacklProvidence (BOS)LW/RW311992-01-21GERNo197 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1831.56213 Lbs6 ft22.11922,639$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmitrij JaskinT.J. GaliardiJoonas Donskoi35122
2Anthony ManthaCharlie CoyleTom Kuhnhackl30122
3Melker KarlssonBoo NievesMichael Chaput25122
4T.J. GaliardiMichael ChaputDmitrij Jaskin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeBrent Seabrook35122
2Nikita TryamkinChris Wideman30122
3Mark PysykMark Borowiecki25122
4Jake McCabeBrent Seabrook10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmitrij JaskinT.J. GaliardiJoonas Donskoi50122
2Anthony ManthaCharlie CoyleTom Kuhnhackl50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeBrent Seabrook50122
2Nikita TryamkinChris Wideman50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1T.J. GaliardiDmitrij Jaskin50122
2Joonas DonskoiAnthony Mantha50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeBrent Seabrook50122
2Nikita TryamkinChris Wideman50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1T.J. Galiardi50122Jake McCabeBrent Seabrook50122
2Dmitrij Jaskin50122Nikita TryamkinChris Wideman50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1T.J. GaliardiDmitrij Jaskin50122
2Joonas DonskoiAnthony Mantha50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake McCabeBrent Seabrook50122
2Nikita TryamkinChris Wideman50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitrij JaskinT.J. GaliardiJoonas DonskoiJake McCabeBrent Seabrook
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitrij JaskinT.J. GaliardiJoonas DonskoiJake McCabeBrent Seabrook
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Melker Karlsson, Boo Nieves, Charlie CoyleMelker Karlsson, Boo NievesCharlie Coyle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Pysyk, Mark Borowiecki, Nikita TryamkinMark PysykMark Borowiecki, Nikita Tryamkin
Tirs de pénalité
T.J. Galiardi, Dmitrij Jaskin, Joonas Donskoi, Anthony Mantha, Charlie Coyle
Gardien
#1 : Louis Domingue, #2 : Carter Hutton
Lignes d’attaque personnalisées en prolongation
T.J. Galiardi, Dmitrij Jaskin, Joonas Donskoi, Anthony Mantha, Charlie Coyle, Tom Kuhnhackl, Melker Karlsson, Boo Nieves, Michael Chaput,
Lignes de défense personnalisées en prolongation
Jake McCabe, Brent Seabrook, Nikita Tryamkin, Chris Wideman, 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
1Abbotsford330000001367220000008351100000053261.000132336019480771214298098410046910025104015320.00%5260.00%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
2Bakersfield3100020056-11000010023-12100010033040.66757120094807712114980984100469812933602114.76%130100.00%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
3Bridgeport41300000711-42020000036-32110000045-120.2507132000948077121519809841004691464028722129.52%100100.00%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
4Charlotte5410000015132220000006423210000099080.80015284300948077121819809841004691886140781715.88%19194.74%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
5Cleveland430000101486210000109542200000053281.000142438009480771214298098410046911448406020420.00%13376.92%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
6Coachella Valley301011001113-2100010005412010010069-330.50011193000948077121169809841004691134431437114.29%13192.31%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
7Eagles3110000112102210000019631010000034-130.50012213300948077121159809841004697923314518211.11%7185.71%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
8Grand Rapids403000011017-72010000169-32020000048-410.12510172720948077121339809841004691513726782328.70%13192.31%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
9Hartford43000010199102200000013672100001063381.000193251009480771215898098410046912233284617317.65%90100.00%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
10Hershey43100000191362110000077022000000126660.750193756009480771216298098410046914338405913215.38%20670.00%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
11Iowa33000000155101100000032122000000123961.000152944009480771211698098410046910637455312325.00%19384.21%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
12Laval421001001918121000100981211000001010050.625193655009480771214498098410046913854574616425.00%18572.22%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
13Lehigh Valley4200011014113220000007432000011077070.875142135009480771215898098410046914745546520210.00%14285.71%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
14Manitoba3030000037-41010000023-12020000014-300.000347009480771294980984100469932577471317.69%16193.75%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
15Ontario30200100511-62010010047-31010000014-310.1675914009480771292980984100469912641591218.33%13469.23%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
16Rochester402001011115-42010000157-22010010068-220.250112233009480771215198098410046913648557219210.53%18383.33%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
17Rockford32001000954110000003212100100063361.0009152400948077121139809841004698732285113323.08%13284.62%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
18San Diego300020101073200010106421000100043161.000101525009480771299980984100469130313239700.00%14285.71%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
19San Jose321000008802110000045-11100000043140.66781523009480771211498098410046910232225215426.67%110100.00%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
20Springfield32100000880110000003212110000056-140.66781321009480771211098098410046910532305110110.00%15380.00%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
21Syracuse43001000171162200000053221001000128481.00017304701948077121629809841004691394743711317.69%12466.67%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
22Texas40400000414-1030300000311-81010000013-200.000461000948077121229809841004691495444729111.11%21671.43%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
23Wilkes-Barre/Scranton4120100013130210010009452020000049-540.500132336009480771212998098410046912842395915213.33%17194.12%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
Total823626067432612392241191103323131115164117150342013012461020.62226145972022948077123018980984100469278888387413183464613.29%3235184.21%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
_Since Last GM Reset823626067432612392241191103323131115164117150342013012461020.62226145972022948077123018980984100469278888387413183464613.29%3235184.21%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
_Vs Conference45221302332158139192212501112796316231080122079763590.6561582834412194807712167198098410046915524934507061942512.89%1632684.05%01779329054.07%1625307852.79%720131254.88%1995135619106341085542
_Vs Division2197012027274-2105200102313101145011004143-2240.571721332052194807712771980984100469752247221345881011.36%801482.50%01779329054.07%1625307852.79%720131254.88%1995135619106341085542

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82102W226145972030182788883874131822
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8236266743261239
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119113323131115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117153420130124
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3464613.29%3235184.21%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
98098410046994807712
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
1779329054.07%1625307852.79%720131254.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1995135619106341085542


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
27Texas4Providence0LSommaire du match
626Providence1Manitoba3LSommaire du match
735Laval6Providence5LXSommaire du match
943Providence3Charlotte2WSommaire du match
1256Providence3Hartford2WXXSommaire du match
1465Abbotsford0Providence2WSommaire du match
1680Grand Rapids4Providence3LXXSommaire du match
1891Providence4Coachella Valley6LSommaire du match
20102Providence3Cleveland2WSommaire du match
22110Rochester3Providence2LSommaire du match
24125Providence2Rochester3LXSommaire du match
27137Bridgeport2Providence0LSommaire du match
29149Providence3Bridgeport2WSommaire du match
31159Wilkes-Barre/Scranton1Providence5WSommaire du match
34173Providence5Hershey1WSommaire du match
35184Lehigh Valley2Providence3WSommaire du match
37194Providence2Bakersfield1WSommaire du match
39207Hershey5Providence3LSommaire du match
43227San Jose3Providence4WSommaire du match
46243Providence1Bakersfield2LXSommaire du match
47251Charlotte1Providence2WSommaire du match
50262Providence2Springfield5LSommaire du match
52274Rochester4Providence3LXXSommaire du match
54289Providence7Hershey5WSommaire du match
55297San Jose2Providence0LSommaire du match
57310Providence3Eagles4LSommaire du match
60321Grand Rapids5Providence3LSommaire du match
62337Providence0Manitoba1LSommaire du match
63343Providence9Iowa1WSommaire du match
65352Abbotsford3Providence6WSommaire du match
68369Coachella Valley4Providence5WXSommaire du match
70376Providence2Coachella Valley3LXSommaire du match
74395Cleveland1Providence4WSommaire du match
79415Syracuse3Providence4WSommaire du match
81430Providence3Charlotte2WSommaire du match
83440Cleveland4Providence5WXXSommaire du match
85450Providence4Rochester5LSommaire du match
87461Providence1Grand Rapids3LSommaire du match
89469Bakersfield3Providence2LXSommaire du match
91483Wilkes-Barre/Scranton3Providence4WXSommaire du match
93493Providence3Iowa2WSommaire du match
95504Providence3Charlotte5LSommaire du match
97514Laval2Providence4WSommaire du match
100534Charlotte3Providence4WSommaire du match
105555Texas3Providence1LSommaire du match
107563Providence3Rockford2WXSommaire du match
109574Providence3Springfield1WSommaire du match
111583Ontario3Providence1LSommaire du match
115602Providence1Lehigh Valley2LXSommaire du match
117608Manitoba3Providence2LSommaire du match
119617Providence3Rockford1WSommaire du match
121630Providence4Syracuse3WXSommaire du match
123634Rockford2Providence3WSommaire du match
127654Ontario4Providence3LXSommaire du match
129662Providence3Grand Rapids5LSommaire du match
131678Springfield2Providence3WSommaire du match
132687Providence4San Jose3WSommaire du match
134699Providence1Wilkes-Barre/Scranton4LSommaire du match
136708Texas4Providence2LSommaire du match
140726Hershey2Providence4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
142739Providence1Ontario4LSommaire du match
144750Providence3Hartford1WSommaire du match
145755Providence4San Diego3WXSommaire du match
147765Lehigh Valley2Providence4WSommaire du match
149778San Diego2Providence3WXSommaire du match
152794Providence5Abbotsford3WSommaire du match
154801Providence8Syracuse5WSommaire du match
155808Bridgeport4Providence3LSommaire du match
157821Providence3Wilkes-Barre/Scranton5LSommaire du match
159832Iowa2Providence3WSommaire du match
163853Eagles2Providence6WSommaire du match
167871Eagles4Providence3LXXSommaire du match
170887Providence2Cleveland1WSommaire du match
171893San Diego2Providence3WXXSommaire du match
175913Providence6Lehigh Valley5WXXSommaire du match
177920Hartford3Providence5WSommaire du match
179928Providence1Bridgeport3LSommaire du match
181939Hartford3Providence8WSommaire du match
184952Providence1Texas3LSommaire du match
185957Providence4Laval6LSommaire du match
189971Syracuse0Providence1WSommaire du match
193984Providence6Laval4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance63,15830,278
Assistance PCT77.02%73.85%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2279 - 75.96% 132,941$5,450,583$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,179,382$ 1,393,250$ 1,393,250$ 1,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,182$ 1,679,382$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,914$ 0$




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

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

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

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