Connexion

Belleville
GP: 16 | W: 9 | L: 7
GF: 50 | GA: 40 | PP%: 10.53% | PK%: 73.33%
DG: Steven Bedard | Morale : 84 | Moyenne d’équipe : 64
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Centre de jeu
Belleville
9-7-0, 18pts
1
FINAL
3 Harford Wolf Pack
12-4-0, 24pts
Team Stats
L3SéquenceL1
5-4-0Fiche domicile6-1-0
4-3-0Fiche domicile6-3-0
4-4-2Derniers 10 matchs8-2-0
3.13Buts par match 3.88
2.50Buts contre par match 2.31
10.53%Pourcentage en avantage numérique32.50%
73.33%Pourcentage en désavantage numérique92.00%
Harford Wolf Pack
12-4-0, 24pts
6
FINAL
4 Belleville
9-7-0, 18pts
Team Stats
L1SéquenceL3
6-1-0Fiche domicile5-4-0
6-3-0Fiche domicile4-3-0
8-2-0Derniers 10 matchs4-4-2
3.88Buts par match 3.13
2.31Buts contre par match 2.50
32.50%Pourcentage en avantage numérique10.53%
92.00%Pourcentage en désavantage numérique73.33%
Meneurs d'équipe
Buts
Rudolfs Balcers
9
Passes
Rudolfs Balcers
11
Points
Rudolfs Balcers
20
Plus/Moins
Rudolfs Balcers
10
Victoires
Joseph Woll
7
Pourcentage d’arrêts
Joseph Woll
0.941

Statistiques d’équipe
Buts pour
50
3.13 GFG
Tirs pour
392
24.50 Avg
Pourcentage en avantage numérique
10.5%
4 GF
Début de zone offensive
37.5%
Buts contre
40
2.50 GAA
Tirs contre
470
29.38 Avg
Pourcentage en désavantage numérique
73.3%%
8 GA
Début de la zone défensive
42.6%
Informations de l'équipe

Directeur généralSteven Bedard
EntraîneurDavid Bell
DivisionDivision 3
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 50
Espoirs20


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
1Rudolfs Balcers0XX100.008034897071858669536869716665675491670263805,000$
2Alex Nylander0XXX100.006937956976908568666367647065678486660251775,000$
3Philip Tomasino0XXX100.006138927370868769717264596762648188660221863,333$
4Zack MacEwen0XX100.008381666784788564736667656668693792660273775,000$
5Matthew Highmore0XXX100.006337876670858165746761746369703792650271775,000$
6Maxim Mamin0XX100.007339916782797566706567656867694291650284756,000$
7Noah Gregor0X100.007439866972848567616866627264655992650258769,000$
8Luke Evangelista (R)0X100.006036906971867368606966646762637492650212797,500$
9Alexander Holtz0X100.006237926873827767626066596861638791630212894,167$
10Rourke Chartier0X100.006836956370887459765864686167694692630271775,000$
11Ridly Greig0XX100.006839726771827065706763656461638092630212863,333$
12Dillon Heatherington0X100.007843756089768257305958624968725992640281762,500$
13Egor Zamula0X100.006738916279828463306658625063654291640231750,000$
14Jacob Larsson0X100.006740756679788362306358615066687691640261775,000$
15Lassi Thomson0X100.006637766572848263306858615063658292630231863,333$
16Ryan Merkley0X100.006239816872838665306657585062648292630238751,000$
17Maxence Guenette0X100.006437935974758260306258614962644992620221813,333$
18Oskari Laaksonen0X100.006338846072649153306456594563656353600246754,000$
Rayé
1Bokondji Imama0X100.007885506182698159575860615667694253600271775,000$
2Cole Reinhardt0X100.007241695974818657625855566063654920580231813,333$
3Philippe Daoust0XX100.005636925665696255685951535761634920550222821,667$
4Filip Kral0X100.006538785774668654306053574663655419590233754,000$
5William Villeneuve (R)0X100.006339816072666956306153554661635920570212817,778$
6Donovan Sebrango (R)0X100.006639875375627952305354554661636820560212828,333$
MOYENNE D’ÉQUIPE100.00684283647578806251636062586466617362
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
1Joseph Woll (R)0100.00807168847978807978807965736585760252766,667$
2Ivan Prosvetov0100.00747071887372747372747364715891720241775,000$
Rayé
1Leevi Merilainen0100.00786059727776787776787761656636710212820,000$
MOYENNE D’ÉQUIPE100.0077676681767577767577766370637173
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Bell72636156998261Can462800,000$


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
1Rudolfs BalcersBelleville (OTT)LW/RW16911201080382768184913.24%337023.18112332000011034.43%6100001.0800000421
2Philip TomasinoBelleville (OTT)C/LW/RW16871570043638102321.05%029718.5600000000002143.60%38300011.0100000121
3Jacob LarssonBelleville (OTT)D16011116100261313570%1638624.17033532000021000%000000.5700000020
4Lassi ThomsonBelleville (OTT)D162911540199511240.00%1825115.740000100003000%000000.8700000011
5Luke EvangelistaBelleville (OTT)RW16471140012234426389.09%433821.180111310000120141.18%1700000.6500000100
6Matthew HighmoreBelleville (OTT)C/LW/RW16459420111633173512.12%532820.51011531000032046.67%3000000.5500000011
7Noah GregorBelleville (OTT)C1636946032273210369.38%632420.31101731000000043.90%34400000.5500000000
8Maxim MaminBelleville (OTT)C/LW16538-140182935101914.29%226016.26000060001281052.44%24600000.6200000010
9Alex NylanderBelleville (OTT)C/LW/RW16257040825289277.14%529318.320002330001300042.86%7700100.4800000001
10Egor ZamulaBelleville (OTT)D16347380156133923.08%1436522.85101433000023010%000000.3800000001
11Rourke ChartierBelleville (OTT)C162571060411265217.69%733921.200003280000141051.22%8200000.4100000011
12Alexander HoltzBelleville (OTT)RW16516-1208102531220.00%122013.7700000000002056.25%1600000.5400000000
13Dillon HeatheringtonBelleville (OTT)D16156680418511420.00%1735322.12000130000019000%000000.3400000000
14Ryan MerkleyBelleville (OTT)D161564009693711.11%1632720.47101530000018000%000000.3700000011
15Maxence GuenetteBelleville (OTT)D16055440838280%925515.940000100009000%000000.3900000000
16Zack MacEwenBelleville (OTT)C/RW16101-1005221450.00%2372.330000000000000%100000.5400000000
17Ridly GreigBelleville (OTT)C/LW16011300118160%0412.5700000000000033.33%600000.4900000000
18Bokondji ImamaBelleville (OTT)LW14000200100000%060.490000100003000%00000000000000
19Oskari LaaksonenBelleville (OTT)D2000000000000%000.320000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne28850901406966026025239213531712.76%125479916.6646103632600021909345.53%126300110.58000006118
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
1Joseph WollBelleville (OTT)97110.9411.6554622152540110097201
2Ivan ProsvetovBelleville (OTT)72410.8883.4042300242150000079100
Statistiques d’équipe totales ou en moyenne169520.9172.41970223946901101616301


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 Forcer UFA Rappel d'urgence 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
Alex NylanderBelleville (OTT)C/LW/RW251998-03-02No192 Lbs6 ft1NoNoTrade2024-02-02NoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Alexander HoltzBelleville (OTT)RW212002-01-23No195 Lbs6 ft0NoNoTrade2023-12-15NoNo2FalseFalsePro & Farm894,167$191,607$700,000$150,000$0$0$No894,167$--------No--------Lien
Bokondji ImamaBelleville (OTT)LW271996-08-03No221 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Cole ReinhardtBelleville (OTT)LW232000-02-01No200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm813,333$174,286$750,000$160,714$0$0$No------------------Lien
Dillon HeatheringtonBelleville (OTT)D281995-05-09No215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm762,500$163,393$700,000$150,000$0$0$No------------------Lien
Donovan SebrangoBelleville (OTT)D212002-01-12 17:42:35Yes185 Lbs7 ft4NoNoN/ANoNo2FalseFalsePro & Farm828,333$177,500$750,000$160,714$0$0$No828,333$--------No--------
Egor ZamulaBelleville (OTT)D232000-03-30No177 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$160,714$700,000$150,000$0$0$No------------------Lien
Filip KralBelleville (OTT)D231999-10-20No185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm754,000$161,571$700,000$150,000$0$0$No754,000$754,000$-------NoNo-------Lien
Ivan ProsvetovBelleville (OTT)G241999-03-05No195 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Jacob LarssonBelleville (OTT)D261997-04-29No190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Joseph WollBelleville (OTT)G251998-07-12Yes203 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm766,667$164,286$750,000$160,714$0$0$No766,667$--------No--------Lien
Lassi ThomsonBelleville (OTT)D232000-09-24No190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$185,000$700,000$150,000$0$0$No------------------Lien
Leevi MerilainenBelleville (OTT)G212002-08-13 16:31:10No190 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm820,000$175,714$700,000$150,000$0$0$No820,000$--------No--------
Luke EvangelistaBelleville (OTT)RW212002-02-21 17:01:53Yes183 Lbs6 ft11NoNoN/ANoNo2FalseFalsePro & Farm797,500$170,893$700,000$150,000$0$0$No797,500$--------No--------
Matthew HighmoreBelleville (OTT)C/LW/RW271996-02-27No188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Maxence GuenetteBelleville (OTT)D222001-04-28No181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm813,333$174,286$700,000$150,000$0$0$No------------------Lien
Maxim MaminBelleville (OTT)C/LW281995-01-13No206 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm756,000$162,000$700,000$150,000$0$0$No756,000$756,000$756,000$------NoNoNo------Lien
Noah GregorBelleville (OTT)C251998-07-28No190 Lbs6 ft0NoNoN/ANoNo8FalseFalsePro & Farm769,000$164,786$700,000$150,000$0$0$No769,000$769,000$769,000$769,000$769,000$769,000$769,000$--NoNoNoNoNoNoNo--Lien / Lien NHL
Oskari LaaksonenBelleville (OTT)D241999-07-02No172 Lbs6 ft1NoNoN/ANoNo6FalseFalsePro & Farm754,000$161,571$700,000$150,000$0$0$No754,000$754,000$754,000$754,000$754,000$----NoNoNoNoNo----Lien
Philip TomasinoBelleville (OTT)C/LW/RW222001-07-28No179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$185,000$0$0$No------------------Lien
Philippe DaoustBelleville (OTT)C/LW222001-05-11No151 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm821,667$176,072$750,000$160,714$0$0$No821,667$--------No--------Lien
Ridly GreigBelleville (OTT)C/LW212002-08-08 16:36:51No183 Lbs6 ft10NoNoN/ANoNo2FalseFalsePro & Farm863,333$185,000$700,000$150,000$0$0$No863,333$--------No--------
Rourke ChartierBelleville (OTT)C271996-04-03No190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Rudolfs BalcersBelleville (OTT)LW/RW261997-04-08No182 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm805,000$172,500$700,000$150,000$0$0$No805,000$805,000$-------NoNo-------Lien
Ryan MerkleyBelleville (OTT)D232000-08-14No186 Lbs6 ft0NoNoN/ANoNo8FalseFalsePro & Farm751,000$160,929$700,000$150,000$0$0$No751,000$751,000$751,000$751,000$751,000$751,000$751,000$--NoNoNoNoNoNoNo--Lien
William VilleneuveBelleville (OTT)D212002-03-20 11:09:45Yes188 Lbs6 ft11NoNoN/ANoNo2FalseFalsePro & Farm817,778$175,238$750,000$160,714$0$0$No817,778$--------No--------Lien
Zack MacEwenBelleville (OTT)C/RW271996-07-08No205 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm775,000$166,071$0$0$No775,000$775,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.93190 Lbs6 ft32.33795,899$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rudolfs BalcersPhilip TomasinoZack MacEwen40122
2Matthew HighmoreNoah GregorLuke Evangelista30122
3Alex NylanderMaxim MaminAlexander Holtz20122
4Ridly GreigAlex NylanderRudolfs Balcers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob LarssonEgor Zamula40122
2Dillon HeatheringtonRyan Merkley30122
3Lassi ThomsonMaxence Guenette20122
4Dillon HeatheringtonJacob Larsson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxim MaminRudolfs BalcersAlex Nylander60122
2Matthew HighmoreNoah GregorLuke Evangelista40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob LarssonEgor Zamula60122
2Dillon HeatheringtonRyan Merkley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex NylanderMaxim Mamin60122
2Rudolfs BalcersLuke Evangelista40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob LarssonEgor Zamula60122
2Dillon HeatheringtonRyan Merkley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Nylander60122Jacob LarssonEgor Zamula60122
2Luke Evangelista40122Dillon HeatheringtonRyan Merkley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Maxim MaminRudolfs Balcers60122
2Alex NylanderLuke Evangelista40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob LarssonEgor Zamula60122
2Dillon HeatheringtonRyan Merkley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rudolfs BalcersPhilip TomasinoAlex NylanderJacob LarssonEgor Zamula
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rudolfs BalcersPhilip TomasinoAlex NylanderJacob LarssonEgor Zamula
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxim Mamin, Alex Nylander, Rudolfs BalcersMaxim Mamin, Alex NylanderAlex Nylander
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Lassi Thomson, Maxence Guenette, Jacob LarssonLassi ThomsonMaxence Guenette, Jacob Larsson
Tirs de pénalité
Maxim Mamin, Rudolfs Balcers, Alex Nylander, Luke Evangelista, Noah Gregor
Gardien
#1 : Ivan Prosvetov, #2 : Joseph Woll
Lignes d’attaque personnalisées en prolongation
Rudolfs Balcers, Philip Tomasino, Alexander Holtz, Luke Evangelista, Noah Gregor, Matthew Highmore, Matthew Highmore, Maxim Mamin, Alex Nylander, Zack MacEwen, Ridly Greig
Lignes de défense personnalisées en prolongation
Jacob Larsson, Egor Zamula, Dillon Heatherington, Ryan Merkley, Lassi Thomson


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
1Barracuda4400000015411220000008262200000072581.00015254002171716010712912213388819105913215.38%5180.00%021347444.94%23253843.12%13025151.79%368256397115204100
2Harford Wolf Pack514000001219-7312000001113-22020000016-520.20012223400171716011712912213381515128799111.11%12191.67%021347444.94%23253843.12%13025151.79%368256397115204100
3Wilkes-Barre/Scranton Penguins7430000023176422000001010032100000137680.571234366101717160168129122133823155301221616.25%13653.85%021347444.94%23253843.12%13025151.79%368256397115204100
Total16970000050401095400000292547430000021156180.563509014012171716039212912213384701256826038410.53%30873.33%021347444.94%23253843.12%13025151.79%368256397115204100
_Since Last GM Reset16970000050401095400000292547430000021156180.563509014012171716039212912213384701256826038410.53%30873.33%021347444.94%23253843.12%13025151.79%368256397115204100
_Vs Conference16970000050401095400000292547430000021156180.563509014012171716039212912213384701256826038410.53%30873.33%021347444.94%23253843.12%13025151.79%368256397115204100

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1618L350901403924701256826012
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
169700005040
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
95400002925
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74300002115
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
38410.53%30873.33%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
12912213381717160
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
21347444.94%23253843.12%13025151.79%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
368256397115204100


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
1 - 2024-04-231Barracuda0Belleville2WSommaire du match
2 - 2024-04-249Barracuda2Belleville6WSommaire du match
3 - 2024-04-2517Belleville4Barracuda2WSommaire du match
4 - 2024-04-2625Belleville3Barracuda0WSommaire du match
8 - 2024-04-3057Wilkes-Barre/Scranton Penguins2Belleville4WSommaire du match
9 - 2024-05-0161Wilkes-Barre/Scranton Penguins3Belleville1LSommaire du match
10 - 2024-05-0265Belleville5Wilkes-Barre/Scranton Penguins1WSommaire du match
11 - 2024-05-0369Belleville5Wilkes-Barre/Scranton Penguins2WSommaire du match
12 - 2024-05-0473Wilkes-Barre/Scranton Penguins4Belleville3LXSommaire du match
13 - 2024-05-0577Belleville3Wilkes-Barre/Scranton Penguins4LXSommaire du match
14 - 2024-05-0681Wilkes-Barre/Scranton Penguins1Belleville2WSommaire du match
15 - 2024-05-0785Harford Wolf Pack3Belleville2LSommaire du match
16 - 2024-05-0887Harford Wolf Pack4Belleville5WSommaire du match
17 - 2024-05-0989Belleville0Harford Wolf Pack3LSommaire du match
18 - 2024-05-1091Belleville1Harford Wolf Pack3LSommaire du match
19 - 2024-05-1193Harford Wolf Pack6Belleville4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance18,0009,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-4 3000 - 100.00% 87,500$787,500$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,148,927$ 1,775,000$ 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$ 6 0$ 0$




Belleville 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

Belleville 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

Belleville 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

Belleville 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

Belleville 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