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Connexion

Crunch
GP: 70 | W: 8 | L: 57 | OTL: 5 | P: 21
GF: 137 | GA: 449 | PP%: 20.00% | PK%: 67.52%
DG: Ron | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #1120 vs Comets
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Centre de jeu
Marlies
52-16-2, 106pts
5
FINAL
0 Crunch
8-57-5, 21pts
Team Stats
L1StreakOTW1
26-6-2Home Record4-28-3
26-10-0Away Record4-29-2
7-2-1Last 10 Games2-8-0
4.64Buts par match 1.96
1.91Buts contre par match 6.41
21.52%Pourcentage en avantage numérique20.00%
86.00%Pourcentage en désavantage numérique67.52%
Crunch
8-57-5, 21pts
4
FINAL
3 Senators
8-58-4, 20pts
Team Stats
OTW1StreakOTL1
4-28-3Home Record5-28-2
4-29-2Away Record3-30-2
2-8-0Last 10 Games1-7-2
1.96Buts par match 1.70
6.41Buts contre par match 7.30
20.00%Pourcentage en avantage numérique13.28%
67.52%Pourcentage en désavantage numérique62.41%
Crunch
8-57-5, 21pts
2024-04-08
Comets
52-16-1, 105pts
Statistiques d’équipe
OTW1SéquenceW2
4-28-3Fiche domicile27-6-1
4-29-2Fiche visiteur25-10-0
2-8-010 derniers matchs8-2-0
1.96Buts par match 4.70
6.41Buts contre par match 4.70
20.00%Pourcentage en avantage numérique17.22%
67.52%Pourcentage en désavantage numérique87.20%
Comets
52-16-1, 105pts
2024-04-09
Crunch
8-57-5, 21pts
Statistiques d’équipe
W2SéquenceOTW1
27-6-1Fiche domicile4-28-3
25-10-0Fiche visiteur4-29-2
8-2-010 derniers matchs2-8-0
4.70Buts par match 1.96
2.17Buts contre par match 1.96
17.22%Pourcentage en avantage numérique20.00%
87.20%Pourcentage en désavantage numérique67.52%
Meneurs d'équipe
Buts
Jake Christiansen
29
Passes
Jack Ahcan
23
Points
Jake Christiansen
49
Plus/Moins
Jake Christiansen
-59

Statistiques d’équipe
Buts pour
137
1.96 GFG
Tirs pour
1377
19.67 Avg
Pourcentage en avantage numérique
20.0%
48 GF
Début de zone offensive
30.5%
Buts contre
449
6.41 GAA
Tirs contre
2873
41.04 Avg
Pourcentage en désavantage numérique
67.5%%
51 GA
Début de la zone défensive
42.2%
Informations de l'équipe

Directeur généralRon
EntraîneurBenoit Groulx
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,944
Billets de saison0


Informations de la formation

Équipe Pro14
Équipe Mineure22
Limite contact 36 / 50
Espoirs48


Historique d'équipe

Saison actuelle8-57-5 (21PTS)
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
1Andreas JohnssonXX100.0065428682686577684268556279656564506502924,000,000$
2Wade Allison (R)X100.0097688276776463622960686625505069506402611,137,500$
3Kole LindX100.006666666766828666506167616446466650630252825,000$
4Gabriel Fortier (R)XX100.007062876662859257505456615345456250600242791,667$
5Givani SmithXX100.008499477181476959255856622558586050600262850,000$
6Michal Teply (R)XX100.007871936371707458505656655344446250600231925,000$
7Riley Damiani (R)X100.006759856659737759745658595544446150590243775,000$
8Cole Koepke (R)XXX100.008445956372538554255057642545456150580261925,000$
9Alex Beaucage (R)XX100.007472796772656952504951614844445750570222925,000$
10Samuel Helenius (R)X100.007779736679555750634945624344445450550212925,000$
11Jack Rathbone (R)X100.006742937169646466254850682545456050610253850,000$
12Jack Ahcan (R)X100.007164886664717653255041603944445550590271800,000$
13Jake Christiansen (R)X100.007644996672546254253954642544445950580242800,000$
14Jett Woo (R)X100.0070736258736772492540425840444452505602321,044,167$
Rayé
MOYENNE D’ÉQUIPE100.00756381687065735840535462434747605060
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

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# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE 0.00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx76757379827769CAN531400,000$


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
1Alex Barre-BouletLightningC/LW/RW442046663926039561353511414.81%679017.972911151030003452059.89%74300001.6700000451
2Jake ChristiansenCrunch (TBL)D70292049-59855205761696412117.16%142100014.2918826100157000073000.00%000010.9800001503
3Jack AhcanCrunch (TBL)D70102333-6883522810497308810.31%97123317.627182554114000038000.00%000000.5300010253
Statistiques d’équipe totales ou en moyenne1845989148-881941047223640112932314.71%245302416.4427356216937500031582059.89%74300010.980001111107
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance 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
Alex BeaucageCrunch (TBL)LW/RW222001-07-25Yes192 Lbs6 ft2NoNoNo2Pro & Farm925,000$18,974$0$0$No925,000$Lien
Andreas JohnssonCrunch (TBL)LW/RW291994-11-20No194 Lbs5 ft10NoNoNo2Pro & Farm4,000,000$82,051$0$0$No4,000,000$Lien / Lien NHL
Cole KoepkeCrunch (TBL)C/LW/RW261998-05-17Yes195 Lbs6 ft1NoNoNo1Pro & Farm925,000$18,974$0$0$NoLien
Gabriel FortierCrunch (TBL)C/LW242000-02-06Yes170 Lbs5 ft10NoNoNo2Pro & Farm791,667$16,239$0$0$No791,667$Lien
Givani SmithCrunch (TBL)LW/RW261998-02-27No210 Lbs6 ft2NoNoNo2Pro & Farm850,000$17,436$0$0$No850,000$Lien / Lien NHL
Jack AhcanCrunch (TBL)D271997-05-18Yes185 Lbs5 ft8NoNoNo1Pro & Farm800,000$16,410$0$0$NoLien
Jack RathboneCrunch (TBL)D251999-05-20Yes190 Lbs5 ft11NoNoNo3Pro & Farm850,000$17,436$0$0$No850,000$850,000$Lien
Jake ChristiansenCrunch (TBL)D241999-09-12Yes195 Lbs6 ft1NoNoNo2Pro & Farm800,000$16,410$0$0$No800,000$Lien
Jett WooCrunch (TBL)D232000-07-27Yes200 Lbs6 ft0NoNoNo2Pro & Farm1,044,167$21,419$0$0$No1,044,167$Lien
Kole LindCrunch (TBL)RW251998-10-16No176 Lbs6 ft1NoNoNo2Pro & Farm825,000$16,923$0$0$No825,000$Lien / Lien NHL
Michal TeplyCrunch (TBL)LW/RW232001-05-27Yes187 Lbs6 ft3NoNoNo1Pro & Farm925,000$18,974$0$0$NoLien
Riley DamianiCrunch (TBL)C242000-03-20Yes161 Lbs5 ft10NoNoNo3Pro & Farm775,000$15,897$0$0$No775,000$775,000$Lien
Samuel HeleniusCrunch (TBL)C212002-11-26Yes201 Lbs6 ft6NoNoNo2Pro & Farm925,000$18,974$0$0$No925,000$Lien
Wade AllisonCrunch (TBL)RW261997-10-14Yes205 Lbs6 ft2NoNoNo1Pro & Farm1,137,500$23,333$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1424.64190 Lbs6 ft11.861,112,381$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140023
230023
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Jack Ahcan30140
3Jake Christiansen20122
4Jack Ahcan10140
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160005
240005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack AhcanJake Christiansen60005
240005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160050
240050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160050
2Jake Christiansen40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16005060050
240050Jake Christiansen40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack AhcanJake Christiansen60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack Ahcan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jack Ahcan, Jake ChristiansenJack Ahcan, Jake Christiansen
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , Jack Ahcan, Jake Christiansen,


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
1 Americans12012000001983-6460600000940-31606000001043-3300.0001931500049384732034174484981446714772175671116.42%301356.67%0406134030.30%546185429.45%362120030.17%11628002302482756316
2Bears2010010058-31000010045-11010000013-210.2505101500493847399417448498147120640400.00%30100.00%0406134030.30%546185429.45%362120030.17%11628002302482756316
3Bruins40400000928-1920200000614-820200000314-1100.00091625004938473824174484981412733126214428.57%6350.00%0406134030.30%546185429.45%362120030.17%11628002302482756316
4Comets12111000002174-5360600000535-30615000001639-2320.083213657004938473191417448498144981474916143613.95%21480.95%0406134030.30%546185429.45%362120030.17%11628002302482756316
5Islanders22000000826110000005231100000030341.000813210149384736841744849814581864622100.00%20100.00%0406134030.30%546185429.45%362120030.17%11628002302482756316
6Marlies80800000966-5740400000133-3240400000833-2500.0009172600493847311141744849814337863810731619.35%18761.11%0406134030.30%546185429.45%362120030.17%11628002302482756316
7Monsters40400000535-3020200000422-1820200000113-1200.000591400493847342417448498142296335569333.33%13561.54%0406134030.30%546185429.45%362120030.17%11628002302482756316
8Penguins40400000429-2520200000012-1220200000417-1300.00048120049384735741744849814178472672500.00%12558.33%0406134030.30%546185429.45%362120030.17%11628002302482756316
9Phantoms20200000618-121010000038-510100000310-700.00061117004938473434174484981495286459444.44%30100.00%0406134030.30%546185429.45%362120030.17%11628002302482756316
10Rocket80800000655-4940400000334-3140400000321-1800.000612180049384731074174484981432710453953026.67%25772.00%0406134030.30%546185429.45%362120030.17%11628002302482756316
11Senators811024003132-14100120015123401012001620-4100.62531558600493847324041744849814322893617811872.73%18761.11%0406134030.30%546185429.45%362120030.17%11628002302482756316
12Thunderbirds2100100012102110000006511000100065141.000122436004938473101417448498147223652300.00%30100.00%0406134030.30%546185429.45%362120030.17%11628002302482756316
13Wolf Pack2020000029-71010000027-51010000002-200.0002350049384733341744849814922862212216.67%30100.00%0406134030.30%546185429.45%362120030.17%11628002302482756316
Total7055703500137449-312353280130063229-166352290220074220-146210.150137245382014938473137741744849814287383335111112404820.00%1575167.52%0406134030.30%546185429.45%362120030.17%11628002302482756316
_Since Last GM Reset7055703500137449-312353280130063229-166352290220074220-146210.150137245382014938473137741744849814287383335111112404820.00%1575167.52%0406134030.30%546185429.45%362120030.17%11628002302482756316
_Vs Conference5644502500106356-250282220130048184-136282230120058172-114170.15210619029601493847310734174484981423346632738841703721.76%1243869.35%0406134030.30%546185429.45%362120030.17%11628002302482756316
_Vs Division402320240074264-190201160120034133-99201160120040131-91120.150741312050049384737434174484981415804592116171533120.26%973761.86%0406134030.30%546185429.45%362120030.17%11628002302482756316

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7021OTW113724538213772873833351111101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
705573500137449
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
35328130063229
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
35229220074220
Derniers 10 matchs
WLOTWOTL SOWSOL
082000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2404820.00%1575167.52%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
417448498144938473
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
406134030.30%546185429.45%362120030.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11628002302482756316


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
4 - 2023-10-022Crunch5Comets4AWSommaire du match
5 - 2023-10-0318Islanders2Crunch5BWSommaire du match
11 - 2023-10-0935Crunch1Monsters7ALSommaire du match
12 - 2023-10-1049Crunch0Monsters6ALSommaire du match
18 - 2023-10-1677Comets9Crunch1BLSommaire du match
19 - 2023-10-1789Rocket10Crunch0BLSommaire du match
23 - 2023-10-21110Crunch2 Americans9ALSommaire du match
26 - 2023-10-24127 Americans4Crunch1BLSommaire du match
30 - 2023-10-28146Crunch5Senators6ALXSommaire du match
32 - 2023-10-30152Penguins4Crunch0BLSommaire du match
33 - 2023-10-31162Crunch3Penguins9ALSommaire du match
36 - 2023-11-03182Crunch3Islanders0AWSommaire du match
39 - 2023-11-06193Wolf Pack7Crunch2BLSommaire du match
40 - 2023-11-07207Crunch0Wolf Pack2ALSommaire du match
44 - 2023-11-11232Crunch2Comets10ALSommaire du match
46 - 2023-11-13239Comets3Crunch0BLSommaire du match
47 - 2023-11-14256Rocket7Crunch1BLSommaire du match
53 - 2023-11-20278Marlies13Crunch0BLSommaire du match
54 - 2023-11-21290Crunch1Marlies8ALSommaire du match
60 - 2023-11-27315Bears5Crunch4BLXSommaire du match
61 - 2023-11-28333Comets5Crunch1BLSommaire du match
62 - 2023-11-29344Crunch2Comets7ALSommaire du match
65 - 2023-12-02353Crunch1Penguins8ALSommaire du match
68 - 2023-12-05369Crunch1Comets3ALSommaire du match
69 - 2023-12-06384Crunch2Bruins7ALSommaire du match
72 - 2023-12-09389Rocket8Crunch2BLSommaire du match
74 - 2023-12-11404Monsters12Crunch3BLSommaire du match
75 - 2023-12-12417 Americans5Crunch2BLSommaire du match
79 - 2023-12-16431Crunch1 Americans5ALSommaire du match
81 - 2023-12-18441Crunch1Rocket6ALSommaire du match
82 - 2023-12-19450Crunch1Rocket8ALSommaire du match
89 - 2023-12-26488Crunch3Marlies9ALSommaire du match
90 - 2023-12-27508Crunch2Marlies9ALSommaire du match
95 - 2024-01-01518Thunderbirds5Crunch6BWSommaire du match
96 - 2024-01-02536Monsters10Crunch1BLSommaire du match
98 - 2024-01-04548Comets7Crunch0BLSommaire du match
102 - 2024-01-08565Bruins8Crunch3BLSommaire du match
103 - 2024-01-09579Comets5Crunch1BLSommaire du match
109 - 2024-01-15608Rocket9Crunch0BLSommaire du match
110 - 2024-01-16626Crunch4Comets9ALSommaire du match
114 - 2024-01-20649Crunch2 Americans5ALSommaire du match
116 - 2024-01-22656Senators2Crunch3BWXSommaire du match
117 - 2024-01-23674Senators2Crunch6BWSommaire du match
123 - 2024-01-29691Crunch1 Americans10ALSommaire du match
124 - 2024-01-30700 Americans6Crunch2BLSommaire du match
128 - 2024-02-03720Crunch5Senators6ALXSommaire du match
131 - 2024-02-06739Crunch3Phantoms10ALSommaire du match
137 - 2024-02-12771Crunch2Comets6ALSommaire du match
138 - 2024-02-13788Senators3Crunch2BLXSommaire du match
139 - 2024-02-14801Comets6Crunch2BLSommaire du match
142 - 2024-02-17811Crunch2 Americans8ALSommaire du match
144 - 2024-02-19817Marlies8Crunch1BLSommaire du match
145 - 2024-02-20831Crunch2Marlies7ALSommaire du match
149 - 2024-02-24851Crunch1Rocket3ALSommaire du match
151 - 2024-02-26864Crunch2 Americans6ALSommaire du match
152 - 2024-02-27874 Americans5Crunch0BLSommaire du match
156 - 2024-03-02897 Americans10Crunch1BLSommaire du match
158 - 2024-03-04905Senators5Crunch4BLXSommaire du match
159 - 2024-03-05918Crunch1Bears3ALSommaire du match
165 - 2024-03-11951Penguins8Crunch0BLSommaire du match
166 - 2024-03-12970Crunch6Thunderbirds5AWXSommaire du match
167 - 2024-03-13975Crunch1Bruins7ALSommaire du match
170 - 2024-03-16987 Americans10Crunch3BLSommaire du match
172 - 2024-03-18998Phantoms8Crunch3BLSommaire du match
173 - 2024-03-191013Bruins6Crunch3BLSommaire du match
179 - 2024-03-251038Crunch0Rocket4ALSommaire du match
180 - 2024-03-261050Crunch2Senators5ALSommaire du match
186 - 2024-04-011078Marlies7Crunch0BLSommaire du match
187 - 2024-04-021093Marlies5Crunch0BLSommaire du match
191 - 2024-04-061111Crunch4Senators3AWXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
193 - 2024-04-081120Crunch-Comets-
194 - 2024-04-091133Comets-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets300
Assistance69,92333,103
Assistance PCT99.89%94.58%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2944 - 98.12% 59,934$2,097,690$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,015,486$ 1,557,334$ 1,557,334$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,986$ 1,623,646$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
59,934$ 4 10,038$ 40,152$




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