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Connexion

Crunch
GP: 5 | W: 1 | L: 4
GF: 16 | GA: 19 | PP%: 13.04% | PK%: 75.00%
DG: Keven St-Amand | Morale : 16 | Moyenne d’équipe : 66
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Centre de jeu
Thunderbirds
13-6-0, 26pts
4
FINAL
2 Crunch
1-4-0, 2pts
Team Stats
L3StreakL2
8-3-0Home Record1-1-0
5-3-0Away Record0-3-0
5-4-1Last 10 Games1-3-1
3.89Buts par match 3.20
3.32Buts contre par match 3.80
25.00%Pourcentage en avantage numérique13.04%
86.15%Pourcentage en désavantage numérique75.00%
Crunch
1-4-0, 2pts
3
FINAL
4 Thunderbirds
13-6-0, 26pts
Team Stats
L2StreakL3
1-1-0Home Record8-3-0
0-3-0Away Record5-3-0
1-3-1Last 10 Games5-4-1
3.20Buts par match 3.89
3.80Buts contre par match 3.32
13.04%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique86.15%
Meneurs d'équipe
Buts
Jack Roslovic
3
Passes
Jeremy Bracco
5
Points
Jeremy Bracco
5
Plus/Moins
Sam Bennett
1
Victoires
Kaapo Kahkonen
1
Pourcentage d’arrêts
Jordan Binnington
1

Statistiques d’équipe
Buts pour
16
3.20 GFG
Tirs pour
170
34.00 Avg
Pourcentage en avantage numérique
13.0%
3 GF
Début de zone offensive
36.7%
Buts contre
19
3.80 GAA
Tirs contre
158
31.60 Avg
Pourcentage en désavantage numérique
75.0%%
6 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralKeven St-Amand
EntraîneurDenis Savard
DivisionPaul-Loicq
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 250
Espoirs0


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
1Sam Bennett (R)X100.008736727880698175657476726655456067720211900,000$
2Jack Roslovic (R)X100.007127818468716283717075638554486567710202900,000$
3Anthony Cirelli (R)X100.006233896873867566737268766350446969700204900,000$
4Jacob JosefsonX100.006235857057686769738269546148503173670261650,000$
5Michael FerlandX100.007364736781608373596869606650493563670251700,000$
6Brandon Hagel (R)X100.006951776374635972677274586943417663670192500,000$
7Joel VerminX100.006745846458806768707654675451493273660251600,000$
8Jeremy Bracco (R)X100.005831746657687272838067475842435768650202600,000$
9Anatoli Golyshev (R)X100.006233687366677266768265525447495272650221500,000$
10Max McCormickX100.008068736579528663635963566158583255640251550,000$
11Robert Thomas (R)X100.004935756249636667808370465140409050630182500,000$
12Connor Bunnaman (R)X100.006132857164806154616452735741426473630191500,000$
13Roland McKeown (R)X100.007726917275677067447051825852455873720211900,000$
14Brendan Guhle (R)X100.006736846769687568447159844953446566700203950,000$
15Noah Hanifin (R)X100.006651827476717076577767686555436645700204950,000$
16Jordan OesterleX100.007054786576767478617066686662554473700252975,000$
17Jakob Chychrun (R)X100.006331738356647778328363695144427857680191500,000$
18Sean Walker (R)X100.006536757469735958317049735146493873660232500,000$
Rayé
1Nikita GusevX100.005624687261727672747269506952533819650251500,000$
2Axel Holmstrom (R)X100.006041736768606665696769606745454620640214600,000$
3Blake Lizotte (R)X100.004926686446585269545462516242425719570201500,000$
4Charles-Olivier RousselX100.006231737663616469446658685749502820650261500,000$
5Michael Downing (R)X100.005137677157606769426950644344444419600222500,000$
6Blake Hillman (R)X100.006546695466666652335436554944465219570211250,000$
MOYENNE D’ÉQUIPE100.00653977706668696959716363604947535466
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
1Kaapo Kahkonen100.00666768737070696867746451455147680211600,000$
2Jordan Binnington100.00656472646371776662756351503671670251650,000$
Rayé
1Josef Korenar (R)100.00705467676549585865586744426119600191500,000$
MOYENNE D’ÉQUIPE100.0067626968666368646569654946494665
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Denis Savard60529576606555Can632500,000$


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
1Jeremy BraccoCrunch (T.B)RW50550605317160.00%28316.76000017000000057.14%711001.1900000000
2Sam BennettCrunch (T.B)C52351120109259178.00%511723.511236210001160039.88%16853000.8500000001
3Jack RoslovicCrunch (T.B)C5314-1408141931115.79%19418.990001170000120050.00%5631000.8400000010
4Roland McKeownCrunch (T.B)D51341007886312.50%1114128.39123518000022000.00%038000.5600000001
5Brendan GuhleCrunch (T.B)D5033080111414850.00%614428.86022321000219000.00%054000.4200000000
6Joel VerminCrunch (T.B)RW51230208996611.11%19318.73101217000000080.00%521000.6400000000
7Michael FerlandCrunch (T.B)LW53030209483437.50%48116.3000011200001300100.00%111000.7400000100
8Robert ThomasCrunch (T.B)RW51121201266416.67%05511.100000300000000.00%100000.7200000001
9Anthony CirelliCrunch (T.B)LW5112100121012798.33%212625.210000220000201071.43%734000.3200000100
10Noah HanifinCrunch (T.B)D5022-20061011760.00%611122.34000115000014000.00%026000.3600000000
11Brandon HagelCrunch (T.B)LW511202083101210.00%46813.6900004000070027.27%1103000.5800000000
12Jakob ChychrunCrunch (T.B)D5022120673410.00%86913.940000500001000.00%002000.5700000000
13Anatoli GolyshevCrunch (T.B)LW5202-1403285425.00%5479.590000000001000.00%151000.8300000100
14Jacob JosefsonCrunch (T.B)C5011120358460.00%05911.8800000000020044.00%2520000.3400000000
15Max McCormickCrunch (T.B)RW5011-100633050.00%2489.720000000000000.00%100000.4100000000
16Connor BunnamanCrunch (T.B)C5011-100092130.00%2469.3900000000000052.94%1701000.4300000000
17Jordan OesterleCrunch (T.B)D5101-1006463116.67%411222.52000016000016000.00%011000.1800000000
18Axel HolmstromCrunch (T.B)C1000000000000.00%000.300000000000000.00%000000.00%00000000
19Nikita GusevCrunch (T.B)LW1000000000000.00%000.380000000000000.00%000000.00%00000000
20Sean WalkerCrunch (T.B)D50001204101200.00%66412.870000000000000.00%014000.00%00000000
Statistiques d’équipe totales ou en moyenne92162743048011312617076939.41%69156917.063691919500031501044.00%3003441000.5500000313
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
1Kaapo KahkonenCrunch (T.B)51310.8723.81299001914977000.00%050000
2Jordan BinningtonCrunch (T.B)10001.0000.00%2100094000.00%005000
Statistiques d’équipe totales ou en moyenne61310.8803.5632000191588100055000


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Anatoli GolyshevCrunch (T.B)LW221995-01-01Yes187 Lbs5 ft8NoNoNo1Pro & Farm500,000$0$0$NoLien
Anthony CirelliCrunch (T.B)LW201997-01-01Yes193 Lbs6 ft0NoNoNo4Pro & Farm900,000$0$0$No2,000,000$2,500,000$3,500,000$Lien
Axel HolmstromCrunch (T.B)C211996-01-01Yes198 Lbs6 ft2NoNoNo4Pro & Farm600,000$0$0$No600,000$800,000$800,000$Lien
Blake HillmanCrunch (T.B)D211996-01-01Yes181 Lbs6 ft1NoNoNo1Pro & Farm250,000$0$0$NoLien
Blake LizotteCrunch (T.B)C201997-01-01Yes172 Lbs5 ft7NoNoNo1Pro & Farm500,000$0$0$NoLien
Brandon HagelCrunch (T.B)LW191998-01-01Yes174 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Brendan GuhleCrunch (T.B)D201997-01-01Yes197 Lbs6 ft2NoNoNo3Pro & Farm950,000$0$0$No1,300,000$2,000,000$Lien
Charles-Olivier RousselCrunch (T.B)D261991-01-01No201 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Connor BunnamanCrunch (T.B)C191998-01-01Yes214 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Jack RoslovicCrunch (T.B)C201997-01-01Yes187 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No1,600,000$Lien
Jacob JosefsonCrunch (T.B)C261991-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Jakob ChychrunCrunch (T.B)D191998-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Jeremy BraccoCrunch (T.B)RW201997-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm600,000$0$0$No700,000$Lien
Joel VerminCrunch (T.B)RW251992-01-01No185 Lbs5 ft11NoNoNo1Pro & Farm600,000$0$0$NoLien
Jordan BinningtonCrunch (T.B)G251992-01-01No173 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Jordan OesterleCrunch (T.B)D251992-01-01No183 Lbs6 ft0NoNoNo2Pro & Farm975,000$0$0$No1,250,000$Lien
Josef KorenarCrunch (T.B)G191998-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Kaapo KahkonenCrunch (T.B)G211996-01-01No214 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$NoLien
Max McCormickCrunch (T.B)RW251992-01-01No188 Lbs5 ft11NoNoNo1Pro & Farm550,000$0$0$No
Michael DowningCrunch (T.B)D221995-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Michael FerlandCrunch (T.B)LW251992-01-01No215 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Nikita GusevCrunch (T.B)LW251992-01-01No163 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Noah HanifinCrunch (T.B)D201997-01-01Yes215 Lbs6 ft3NoNoNo4Pro & Farm950,000$0$0$No2,000,000$2,500,000$3,500,000$Lien
Robert ThomasCrunch (T.B)RW181999-01-01Yes218 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Roland McKeownCrunch (T.B)D211996-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Sam BennettCrunch (T.B)C211996-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Sean WalkerCrunch (T.B)D231994-01-01Yes194 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2721.78193 Lbs6 ft11.67636,111$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony CirelliSam BennettJoel Vermin40122
2Brandon HagelJack RoslovicJeremy Bracco30122
3Michael FerlandJacob JosefsonMax McCormick20122
4Anatoli GolyshevConnor BunnamanRobert Thomas10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeownBrendan Guhle40122
2Noah HanifinJordan Oesterle30122
3Jakob ChychrunSean Walker20122
4Roland McKeownBrendan Guhle10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony CirelliSam BennettJoel Vermin60122
2Michael FerlandJack RoslovicJeremy Bracco40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeownBrendan Guhle60122
2Noah HanifinJordan Oesterle40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam BennettAnthony Cirelli60122
2Jack RoslovicMichael Ferland40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeownBrendan Guhle60122
2Noah HanifinJordan Oesterle40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Bennett60122Roland McKeownBrendan Guhle60122
2Jack Roslovic40122Noah HanifinJordan Oesterle40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam BennettAnthony Cirelli60122
2Jack RoslovicMichael Ferland40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeownBrendan Guhle60122
2Noah HanifinJordan Oesterle40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony CirelliSam BennettJoel VerminRoland McKeownBrendan Guhle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony CirelliSam BennettJoel VerminRoland McKeownBrendan Guhle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Hagel, Jacob Josefson, Joel VerminBrandon Hagel, Jacob JosefsonBrandon Hagel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Oesterle, Jakob Chychrun, Sean WalkerJordan OesterleJordan Oesterle, Jakob Chychrun
Tirs de pénalité
Sam Bennett, Jack Roslovic, Anthony Cirelli, Michael Ferland, Brandon Hagel
Gardien
#1 : Kaapo Kahkonen, #2 : Jordan Binnington


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
1Thunderbirds514000001619-32110000077030300000912-320.2001627430074501705859494158694811323313.04%24675.00%04811043.64%5211844.07%327244.44%11362111519748
Total514000001619-32110000077030300000912-320.2001627430074501705859494158694811323313.04%24675.00%04811043.64%5211844.07%327244.44%11362111519748
_Since Last GM Reset514000001619-32110000077030300000912-320.2001627430074501705859494158694811323313.04%24675.00%04811043.64%5211844.07%327244.44%11362111519748
_Vs Conference514000001619-32110000077030300000912-320.2001627430074501705859494158694811323313.04%24675.00%04811043.64%5211844.07%327244.44%11362111519748
_Vs Division514000001619-32110000077030300000912-320.2001627430074501705859494158694811323313.04%24675.00%04811043.64%5211844.07%327244.44%11362111519748

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L2162743170158694811300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001619
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000077
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000912
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
23313.04%24675.00%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
58594947450
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
4811043.64%5211844.07%327244.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11362111519748


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 - 2022-10-275Crunch1Thunderbirds2ALR1Sommaire du match
2 - 2022-10-2813Crunch5Thunderbirds6ALXSommaire du match
3 - 2022-10-2921Thunderbirds3Crunch5BWR1Sommaire du match
4 - 2022-10-3029Thunderbirds4Crunch2BLSommaire du match
5 - 2022-10-3137Crunch3Thunderbirds4ALR1Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 3000 - 100.00% 89,250$178,500$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,717,500$ 1,505,000$ 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$ 0 0$ 0$




Crunch Leaders statistiques (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

Crunch 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

Crunch 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

Crunch Leaders statistiques (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

Crunch 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