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Crunch
GP: 33 | W: 8 | L: 20 | OTL: 5 | P: 21
GF: 75 | GA: 106 | PP%: 25.00% | PK%: 73.47%
DG: Alex Whiddon | Morale : 33 | Moyenne d’équipe : 56
Prochains matchs #535 vs Canucks

Centre de jeu
Crunch
8-20-5, 21pts
1
3 Marlies
13-16-4, 30pts
Team Stats
L3SéquenceW6
5-8-4Fiche domicile7-9-1
3-12-1Fiche domicile6-7-3
4-6-0Derniers 10 matchs6-3-1
2.27Buts par match 2.30
3.21Buts contre par match 3.03
25.00%Pourcentage en avantage numérique28.75%
73.47%Pourcentage en désavantage numérique63.89%
Crunch
8-20-5, 21pts
0
2 Wolf Pack
15-16-4, 34pts
Team Stats
L3SéquenceW1
5-8-4Fiche domicile8-9-0
3-12-1Fiche domicile7-7-4
4-6-0Derniers 10 matchs3-5-2
2.27Buts par match 2.43
3.21Buts contre par match 3.40
25.00%Pourcentage en avantage numérique30.26%
73.47%Pourcentage en désavantage numérique71.43%
Canucks
15-16-3, 33pts
Jour 43
Crunch
8-20-5, 21pts
Statistiques d’équipe
W1SéquenceL3
8-7-2Fiche domicile5-8-4
7-9-1Fiche visiteur3-12-1
4-5-110 derniers matchs4-6-0
2.76Buts par match 2.27
3.09Buts contre par match 2.27
33.33%Pourcentage en avantage numérique25.00%
57.81%Pourcentage en désavantage numérique73.47%
Reign
20-13-1, 41pts
Jour 44
Crunch
8-20-5, 21pts
Statistiques d’équipe
W2SéquenceL3
7-10-0Fiche domicile5-8-4
13-3-1Fiche visiteur3-12-1
7-2-110 derniers matchs4-6-0
3.97Buts par match 2.27
3.38Buts contre par match 2.27
25.47%Pourcentage en avantage numérique25.00%
73.83%Pourcentage en désavantage numérique73.47%
Crunch
8-20-5, 21pts
Jour 45
Rocket
21-6-8, 50pts
Statistiques d’équipe
L3SéquenceW1
5-8-4Fiche domicile11-1-4
3-12-1Fiche visiteur10-5-4
4-6-010 derniers matchs7-3-0
2.27Buts par match 2.40
3.21Buts contre par match 2.40
25.00%Pourcentage en avantage numérique30.56%
73.47%Pourcentage en désavantage numérique76.32%
Meneurs d'équipe
Buts
Avery Hayes
15
Passes
Avery Hayes
20
Points
Avery Hayes
35
Plus/Moins
Ryan Sandelin
3
Victoires
Matt Villalta
5
Pourcentage d’arrêts
Matt Villalta
0.852

Statistiques d’équipe
Buts pour
75
2.27 GFG
Tirs pour
573
17.36 Avg
Pourcentage en avantage numérique
25.0%
19 GF
Début de zone offensive
33.8%
Buts contre
106
3.21 GAA
Tirs contre
748
22.67 Avg
Pourcentage en désavantage numérique
73.5%%
26 GA
Début de la zone défensive
39.2%
Informations de l'équipe

Directeur généralAlex Whiddon
EntraîneurBenoit Allaire
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,165
Billets de saison1,500


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 100
Espoirs59


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
1Ethan Cardwell (R)X100.0071668273678085615063566054454562406102331,461,000$
2Avery HayesX100.006763776964727564505866586246456344610231900,000$
3Chase WheatcroftX100.007570876771768257705456625145455948600231900,000$
4Chase Bradley (R)X100.0070668070677581565048605956454560485802431,345,000$
5Sandis Vilmanis (R)X100.0078719366727176555057506348454558445802231,288,000$
6Tanner Dickinson (R)X100.0073659365666772516447525948454555415602331,135,000$
7Stefan MatteauX100.008078846278444256705753644845455637560321900,000$
8Tristan AllardX100.007473776574494854694955615345455735550231900,000$
9Ethan Gauthier (R)X100.0077679981685153435038436042454551445302131,266,000$
10Blake Biondi (R)X100.0079729981733533435538446142454551415202331,335,000$
11Noel Nordh (R)X100.0080739981743331435037436242454551425102131,266,000$
12Wyatt AamodtX100.007573806773788648254140593845455242590281900,000$
13Charles-Alexis Legault (R)X100.0077777664787178472537416039454552435802231,287,000$
14Tobie BissonX100.008177906377515246253741623945455145560291900,000$
15Dan RenoufX100.006874556374626647253939563745454932550311900,000$
16Isaac Belliveau (R)X100.0073708163714139502543415939454551385302331,255,000$
17Lukas Fischer (R)X100.0063714781724951402527395237454545415301931,260,000$
Rayé
1Eduard Sale (R)X95.7273659166666568555056516048454557325702031,290,000$
2Ryan SandelinXXX100.007568906468505052654753625044445726540271900,000$
3Brayden TraceyX100.0074698580693432445038445942444450205102421,146,000$
4Konnor Smith (R)X100.0088839980834547412528406437454550225802131,286,000$
MOYENNE D’ÉQUIPE99.80757184707257595046454860454545543856
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
1Sergei Murashov (R)100.005640507461585560616030444456435602131,170,000$
2Matt Villalta (R)100.00545366785658495757563045455453560262800,000$
Rayé
MOYENNE D’ÉQUIPE100.0055475876595852595958304545554856
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Allaire40404040404040TUR8111,000,000$


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
1Avery HayesCrunch (TAM)RW33152035-124630526396225715.63%1775522.89461017571013411052.20%5231310020.9315222420
2Chase WheatcroftCrunch (TAM)C33151227-94830466570233021.43%1575322.84437205750510820150.00%582516000.7213312032
3Chase BradleyCrunch (TAM)LW3381725-63115355862124112.90%1571421.6524614590226701145.19%1352118000.7014111114
4Sandis VilmanisCrunch (TAM)LW3361218-1180435944132413.64%663919.3726811460003271040.52%23266000.5612000003
5Eduard SaleCrunch (TAM)LW3312416-1095344365163418.46%1358117.615381545000022050.00%10164020.5500010121
6Wyatt AamodtCrunch (TAM)D3301616-16442038793923280%4389227.050551060011078000%11827000.3600220000
7Tanner DickinsonCrunch (TAM)C338614-10215395439113120.51%865019.722024280332521050.00%258117000.4300010101
8Stefan MatteauCrunch (TAM)C32347-118018152482012.50%133059.540440210001170054.67%7529000.4611000000
9Ryan SandelinCrunch (TAM)C/LW/RW1215630014711549.09%416113.43000020000400100.00%423000.7400000000
10Charles-Alexis LegaultCrunch (TAM)D33156-64352939251154.00%2668620.80000223000654000%0614000.1711001100
11Ethan CardwellCrunch (TAM)RW21235-3202321239138.70%432615.5300013000000028.57%765000.3100000000
12Konnor SmithCrunch (TAM)D23235-1232201738187911.11%2749821.68011341000031000%0511000.2000022000
13Ethan GauthierCrunch (TAM)RW33055-9175233925290%449815.1100001000000051.22%4168000.2014100000
14Tristan AllardCrunch (TAM)C24022310012282140%22319.6400002000070056.86%5103000.1711000000
15Isaac BelliveauCrunch (TAM)D33011-4115171710300%746314.06000247000251000%056000.0400010000
16Tobie BissonCrunch (TAM)D33011-512102947129110%2069120.94000143000160000%0715000.0300101000
17Dan RenoufCrunch (TAM)D330112523019176100%1138211.5900003011028000%037000.0500123000
18Noel NordhCrunch (TAM)LW33000-100562110%11293.94000030000000100.00%10200000000000
19Lukas FischerCrunch (TAM)D33000-424012190010%540312.220000000001000%00400000000000
20Blake BiondiCrunch (TAM)C33000-200010010%0371.1300000000000033.33%60000000000000
Statistiques d’équipe totales ou en moyenne60773117190-12341818050571557317732312.74%241980216.151932511005506713346156249.29%1402152175040.398211113128811
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
1Matt VillaltaCrunch (TAM)175910.8522.839550145304173200.50041617000
2Dennis HildebyLightning1731040.8703.2310230055423249000.60015170010
3Sergei MurashovCrunch (TAM)10100.81011.432100421110000016000
Statistiques d’équipe totales ou en moyenne3582050.8613.1220000110474843320193333010


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
Avery HayesCrunch (TAM)RW232002-10-10USANo175 Lbs5 ft10NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$562,500$0$0$No---------------------------Lien
Blake BiondiCrunch (TAM)C232002-04-24USAYes198 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,335,000$834,375$0$0$No1,335,000$1,335,000$-------1,335,000$1,335,000$-------NoNo-------Lien
Brayden TraceyCrunch (TAM)LW242001-05-28ABNo186 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,146,000$716,250$0$0$No1,146,000$--------1,146,000$--------No--------Lien
Charles-Alexis LegaultCrunch (TAM)D222003-09-05CANYes208 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,287,000$804,375$0$0$No1,287,000$1,287,000$-------1,287,000$1,287,000$-------NoNo-------Lien
Chase BradleyCrunch (TAM)LW242002-01-09USAYes180 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$840,625$0$0$No1,345,000$1,345,000$-------1,345,000$1,345,000$-------NoNo-------Lien
Chase WheatcroftCrunch (TAM)C232002-05-28CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$562,500$0$0$No---------------------------Lien
Dan RenoufCrunch (TAM)D311994-06-01CANNo198 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$562,500$0$0$No---------------------------Lien
Eduard SaleCrunch (TAM)LW202005-03-10CZEYes170 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,290,000$806,250$0$0$No1,290,000$1,290,000$-------1,290,000$1,290,000$-------NoNo-------Lien
Ethan CardwellCrunch (TAM)RW232002-08-30CANYes180 Lbs5 ft11NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,461,000$913,125$0$0$No1,461,000$1,461,000$-------1,461,000$1,461,000$-------NoNo-------Lien
Ethan GauthierCrunch (TAM)RW212005-01-26USAYes182 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,266,000$791,250$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Lien
Isaac BelliveauCrunch (TAM)D232002-11-26QCYes185 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,255,000$784,375$0$0$No1,255,000$1,255,000$-------1,255,000$1,255,000$-------NoNo-------Lien
Konnor SmithCrunch (TAM)D212004-11-06CANYes215 Lbs6 ft6NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,286,000$803,750$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Lukas FischerCrunch (TAM)D192006-09-09USAYes185 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,260,000$787,500$0$0$No1,260,000$1,260,000$-------1,260,000$1,260,000$-------NoNo-------Lien
Matt VillaltaCrunch (TAM)G261999-06-03CANYes190 Lbs6 ft3NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm800,000$500,000$0$0$No800,000$--------800,000$--------No--------Lien
Noel NordhCrunch (TAM)LW212005-01-25SWEYes196 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,266,000$791,250$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Lien
Ryan SandelinCrunch (TAM)C/LW/RW271999-01-03USANo185 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$562,500$0$0$No---------------------------Lien
Sandis VilmanisCrunch (TAM)LW222004-01-23LATYes192 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,288,000$805,000$0$0$No1,288,000$1,288,000$-------1,288,000$1,288,000$-------NoNo-------Lien
Sergei MurashovCrunch (TAM)G212004-04-01RUSYes187 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,170,000$731,250$0$0$No1,170,000$1,170,000$-------1,170,000$1,170,000$-------NoNo-------Lien
Stefan MatteauCrunch (TAM)C321994-02-23USANo211 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$562,500$0$0$No---------------------------Lien
Tanner DickinsonCrunch (TAM)C232002-03-05USAYes176 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,135,000$709,375$0$0$No1,135,000$1,135,000$-------1,135,000$1,135,000$-------NoNo-------Lien
Tobie BissonCrunch (TAM)D291997-02-01QUENo207 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$562,500$0$0$No---------------------------Lien
Tristan AllardCrunch (TAM)C232002-06-23ONTNo196 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$562,500$0$0$No---------------------------Lien
Wyatt AamodtCrunch (TAM)D281997-11-22USANo201 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$562,500$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2323.87191 Lbs6 ft12.221,121,304$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chase WheatcroftAvery HayesChase Bradley40122
2Sandis VilmanisTanner Dickinson30122
3Avery HayesTanner DickinsonChase Wheatcroft20122
4Ethan CardwellAvery HayesEthan Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt AamodtDan Renouf40122
2Charles-Alexis LegaultTobie Bisson30122
3Wyatt AamodtLukas Fischer20122
4Isaac BelliveauWyatt Aamodt10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chase WheatcroftAvery HayesChase Bradley60122
2Sandis VilmanisTanner Dickinson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt AamodtCharles-Alexis Legault60122
2Tobie BissonIsaac Belliveau40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chase BradleyChase Wheatcroft60122
2Avery HayesTanner Dickinson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt AamodtCharles-Alexis Legault60122
2Isaac BelliveauTobie Bisson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Avery Hayes60122Wyatt AamodtCharles-Alexis Legault60122
2Chase Wheatcroft40122Tobie BissonLukas Fischer40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Avery HayesChase Bradley60122
2Chase WheatcroftSandis Vilmanis40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Charles-Alexis LegaultTobie Bisson60122
2Wyatt AamodtIsaac Belliveau40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chase BradleyAvery HayesChase WheatcroftWyatt AamodtCharles-Alexis Legault
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chase BradleyAvery HayesChase WheatcroftWyatt AamodtCharles-Alexis Legault
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Gauthier, Chase Wheatcroft, Avery HayesChase Wheatcroft, Avery HayesAvery Hayes
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Charles-Alexis Legault, Wyatt Aamodt, Tobie BissonWyatt AamodtIsaac Belliveau, Wyatt Aamodt
Tirs de pénalité
Ethan Gauthier, Chase Bradley, Avery Hayes, Chase Wheatcroft, Sandis Vilmanis
Gardien
#1 : Matt Villalta, #2 : Sergei Murashov


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
1Barracuda2010000146-22010000146-20000000000010.2504711001335248301022612012823811285240.00%3166.67%024347051.70%26354448.35%18537549.33%534189659376808390
2Bears1010000058-31010000058-30000000000000.0005712001335248231022612012836981711100.00%4175.00%024347051.70%26354448.35%18537549.33%534189659376808390
3Bruins40400000211-92020000004-42020000027-500.0002350013352483310226120128662325633133.33%11554.55%024347051.70%26354448.35%18537549.33%534189659376808390
4Canucks20001010532100000102111000100032141.00056110013352481310226120128411227302150.00%6266.67%024347051.70%26354448.35%18537549.33%534189659376808390
5Checkers1010000003-3000000000001010000003-300.00000000133524813102261201281571620200.00%30100.00%024347051.70%26354448.35%18537549.33%534189659376808390
6Condors3110010079-22010010047-31100000032130.5007111800133524845102261201286419313610550.00%8275.00%124347051.70%26354448.35%18537549.33%534189659376808390
7Eagles11000000624000000000001100000062421.0006915001335248261022612012817953164250.00%40100.00%124347051.70%26354448.35%18537549.33%534189659376808390
8Gulls2020000027-5000000000002020000027-500.000246001335248211022612012838725224125.00%5340.00%024347051.70%26354448.35%18537549.33%534189659376808390
9Heat1010000013-2000000000001010000013-200.000123001335248161022612012820131015200.00%5180.00%024347051.70%26354448.35%18537549.33%534189659376808390
10Islanders11000000541110000005410000000000021.000591400133524834102261201283368178225.00%4250.00%024347051.70%26354448.35%18537549.33%534189659376808390
11Marlies1010000013-2000000000001010000013-200.00011200133524823102261201281611913000%7271.43%024347051.70%26354448.35%18537549.33%534189659376808390
12Monsters11000000422110000004220000000000021.00047110013352483610226120128173622200.00%2150.00%024347051.70%26354448.35%18537549.33%534189659376808390
13Moose1010000013-21010000013-20000000000000.00012300133524821102261201281869133133.33%20100.00%024347051.70%26354448.35%18537549.33%534189659376808390
14Roadrunners2020000048-4000000000002020000048-400.0004711001335248451022612012871222034600.00%5180.00%124347051.70%26354448.35%18537549.33%534189659376808390
15Silver Knights2000020068-21000010056-11000010012-120.500611170013352484910226120128511648337114.29%3166.67%124347051.70%26354448.35%18537549.33%534189659376808390
16Stars10000010541100000105410000000000021.000571200133524828102261201282851011100.00%5180.00%024347051.70%26354448.35%18537549.33%534189659376808390
17Wild30300000511-62020000037-41010000024-200.000561100133524858102261201281265322547114.29%6183.33%024347051.70%26354448.35%18537549.33%534189659376808390
18Wolf Pack30200001711-41000000145-12020000036-310.167711180013352483410226120128571727458112.50%11281.82%124347051.70%26354448.35%18537549.33%534189659376808390
19Wolves11000000505110000005050000000000021.000571201133524825102261201281154316100.00%40100.00%124347051.70%26354448.35%18537549.33%534189659376808390
Total335200132275106-311738002224757-1016212011002849-21210.3187511719201133524857310226120128748241418505761925.00%982673.47%624347051.70%26354448.35%18537549.33%534189659376808390
_Since Last GM Reset335200132275106-311738002224757-1016212011002849-21210.3187511719201133524857310226120128748241418505761925.00%982673.47%624347051.70%26354448.35%18537549.33%534189659376808390
_Vs Conference23313013124768-211326002123138-71017011001630-14150.326477312001133524834410226120128494163265349491326.53%591869.49%424347051.70%26354448.35%18537549.33%534189659376808390
_Vs Division12112013112536-11605002111520-5617011001016-6100.4172541660013352481741022612012823775152164301033.33%301066.67%224347051.70%26354448.35%18537549.33%534189659376808390

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3321L37511719257374824141850501
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
33520132275106
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
173802224757
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1621211002849
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
761925.00%982673.47%6
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
102261201281335248
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
24347051.70%26354448.35%18537549.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
534189659376808390


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
212Crunch1Gulls4LSommaire du match
327Wild3Crunch2LSommaire du match
446Silver Knights6Crunch5LXSommaire du match
559Crunch1Silver Knights2LXSommaire du match
769Crunch3Wolf Pack4LSommaire du match
886Wolf Pack5Crunch4LXXSommaire du match
9101Crunch3Canucks2WXSommaire du match
11117Bruins2Crunch0LSommaire du match
12135Condors5Crunch3LSommaire du match
13154Crunch3Condors2WSommaire du match
14160Crunch1Roadrunners4LSommaire du match
15179Canucks1Crunch2WXXSommaire du match
17201Barracuda3Crunch2LXXSommaire du match
18215Crunch0Bruins4LSommaire du match
19226Wild4Crunch1LSommaire du match
20239Crunch2Wild4LSommaire du match
22260Bruins2Crunch0LSommaire du match
24282Wolves0Crunch5WSommaire du match
26300Crunch1Gulls3LSommaire du match
27317Barracuda3Crunch2LSommaire du match
29337Crunch3Roadrunners4LSommaire du match
30351Condors2Crunch1LXSommaire du match
31370Crunch1Heat3LSommaire du match
32382Bears8Crunch5LSommaire du match
33403Islanders4Crunch5WSommaire du match
34416Crunch0Checkers3LSommaire du match
35431Crunch6Eagles2WSommaire du match
36442Monsters2Crunch4WSommaire du match
37460Crunch2Bruins3LSommaire du match
39472Stars4Crunch5WXXSommaire du match
40493Moose3Crunch1LSommaire du match
41508Crunch1Marlies3LSommaire du match
42522Crunch0Wolf Pack2LSommaire du match
43535Canucks-Crunch-
44556Reign-Crunch-
45571Crunch-Rocket-
46585Crunch-Wolf Pack-
47596IceHogs-Crunch-
48615Reign-Crunch-
49631Crunch-Islanders-
51650Crunch-Americans-
52662Heat-Crunch-
53681Crunch-Gulls-
54692Bruins-Crunch-
55710Crunch-Comets-
57722Condors-Crunch-
58745Senators-Crunch-
60764Crunch-Reign-
61776Roadrunners-Crunch-
62786Crunch-Admirals-
64807Admirals-Crunch-
65820Crunch-Wild-
66835Crunch-Penguins-
67846Americans-Crunch-
68865Phantoms-Crunch-
70884Crunch-Monsters-
72901Penguins-Crunch-
73921Crunch-Thunderbirds-
74933Griffins-Crunch-
76949Crunch-Barracuda-
77963Comets-Crunch-
79983Crunch-Senators-
80995Checkers-Crunch-
811010Crunch-Stars-
831026Wild-Crunch-
841046Crunch-Phantoms-
851055Crunch-Moose-
861061Thunderbirds-Crunch-
881086Gulls-Crunch-
901111Crunch-Bears-
911123Silver Knights-Crunch-
921146Crunch-Condors-
931148Crunch-Wolves-
941157Wolf Pack-Crunch-
961179Marlies-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981210Rocket-Crunch-
991215Crunch-Griffins-
1011238Crunch-Canucks-
1021244Marlies-Crunch-
1031256Crunch-Silver Knights-
1041269Crunch-IceHogs-
1051275Crunch-Canucks-
1061286Gulls-Crunch-
1081305Eagles-Crunch-
1091317Crunch-Silver Knights-
1101324Crunch-IceHogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance23,97312,830
Assistance PCT70.51%75.47%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 2165 - 72.16% 90,408$1,536,943$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,338,893$ 2,579,000$ 2,579,000$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
23,027$ 963,902$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,350,619$ 70 31,955$ 2,236,850$




Crunch 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

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 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

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