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Connexion

Crunch
GP: 86 | W: 30 | L: 40 | OTL: 16 | P: 76
GF: 183 | GA: 241 | PP%: 26.40% | PK%: 69.42%
DG: Alex Whiddon | Morale : 24 | Moyenne d’équipe : 56

Centre de jeu
Crunch
30-40-16, 76pts
5
4 Silver Knights
35-34-17, 87pts
Team Stats
W5SéquenceW1
16-14-13Fiche domicile20-15-8
14-26-3Fiche domicile15-19-9
7-2-1Derniers 10 matchs3-4-3
2.13Buts par match 2.29
2.80Buts contre par match 2.91
26.40%Pourcentage en avantage numérique32.57%
69.42%Pourcentage en désavantage numérique70.00%
Crunch
30-40-16, 76pts
2
1 IceHogs
33-33-20, 86pts
Team Stats
W5SéquenceOTL1
16-14-13Fiche domicile17-17-9
14-26-3Fiche domicile16-16-11
7-2-1Derniers 10 matchs5-3-2
2.13Buts par match 2.05
2.80Buts contre par match 2.70
26.40%Pourcentage en avantage numérique28.14%
69.42%Pourcentage en désavantage numérique69.70%
Meneurs d'équipe
Buts
Chase Wheatcroft
42
Passes
Chase Wheatcroft
43
Points
Chase Wheatcroft
85
Plus/Moins
Dan Renouf
3
Victoires
Matt Villalta
27
Pourcentage d’arrêts
Sergei Murashov
0.868

Statistiques d’équipe
Buts pour
183
2.13 GFG
Tirs pour
1276
14.84 Avg
Pourcentage en avantage numérique
26.4%
52 GF
Début de zone offensive
33.9%
Buts contre
241
2.80 GAA
Tirs contre
1740
20.23 Avg
Pourcentage en désavantage numérique
69.4%%
63 GA
Début de la zone défensive
39.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,128
Billets de saison1,500


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 100
Espoirs60


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)X100.0071668274688085615064575854474761536202331,461,000$
2Chase WheatcroftX100.007570876872768259705759615147465772610241900,000$
3Chase Bradley (R)X100.0070668171687581575049615856474658555902431,345,000$
4Sandis Vilmanis (R)X100.0078719467737176554956516148474656515902231,288,000$
5Eduard Sale (R)X100.0073659267676568555056515848474655405702131,290,000$
6Tanner Dickinson (R)X100.0073659466676772516447525748474653475602431,135,000$
7Tristan AllardX100.007373786675494853694855605346465629550231900,000$
8Stefan MatteauX100.007878856278444255705651624847475544550321900,000$
9Ryan SandelinXXX100.007568916468505050654651605046465523540271900,000$
10Ethan Gauthier (R)X100.0076679982695153425037425842474649405302131,266,000$
11Blake Biondi (R)X100.0079729981733533435537436142454551415102431,335,000$
12Filip RoosX100.0078778664777683512546396137474751406002721,268,000$
13Wyatt AamodtX100.007573796773788649254241593847465058600281900,000$
14Charles-Alexis Legault (R)X100.0077777665797178472538415939474650485902231,287,000$
15Konnor Smith (R)X100.0086839981844547412527396337464649295802131,286,000$
16Tobie BissonX100.008077916377515246253740613947474950560291900,000$
17Dan RenoufX100.006774566374626646253838553747464729540321900,000$
18Isaac Belliveau (R)X100.0072708264724139492542415739474649455302331,255,000$
19Lukas Fischer (R)X100.0063714982734951402526384937474643455301931,260,000$
Rayé
1Noel Nordh (R)X100.0080739981743331435037436242454551205102131,266,000$
2Brayden TraceyX100.0074698580693432445038445942444450205002521,146,000$
MOYENNE D’ÉQUIPE100.00757285707357604945444759444746524256
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
1Matt Villalta (R)100.00545366785661515958563047465286570272800,000$
2Sergei Murashov (R)100.005640507461585459616030444456605602231,170,000$
Rayé
MOYENNE D’ÉQUIPE100.0055475876596053596058304645547357
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
1Chase WheatcroftCrunch (TAM)C86424385-39765111154191509321.99%36199823.2410162646149606141585250.31%1614642010.85210535857
2Avery HayesLightningRW60284068-116630891231534410418.30%28138323.0771219241081014682248.57%9453124020.98310222651
3Chase BradleyCrunch (TAM)LW86263763-105725119142139447618.71%46190922.208122030154022121474244.82%3283933110.66515131657
4Sandis VilmanisCrunch (TAM)LW86152035-25100113151100325515.00%16173720.218816201261015704042.05%6231915000.4027000035
5Eduard SaleCrunch (TAM)LW86181634-191157711396235518.75%22139916.27681419860001103241.13%2313013120.4900010234
6Wyatt AamodtCrunch (TAM)D8633033-26157751111789246523.26%113230826.84369161690330150010%24962000.2900546100
7Tanner DickinsonCrunch (TAM)C86161632-23382010912991226317.58%23180921.043251010604471043148.40%6262521000.3527022126
8Ethan CardwellCrunch (TAM)RW74131932-19401094101129327910.08%27142419.2557121659000002238.02%1213817000.4526101124
9Isak RosenLightningRW38181129-540204486107266516.82%1388423.2845918580112712147.87%1882614010.6611301240
10Charles-Alexis LegaultCrunch (TAM)D8621416-1964101011164922124.08%72193422.5015671300009140000%01426000.1711002100
11Stefan MatteauCrunch (TAM)C85358-1215532282692311.54%134975.850440210001180054.55%99310000.3211100000
12Ethan GauthierCrunch (TAM)RW83178-151755284435182.33%10112013.50022137000000050.00%621614000.1418100000
13Isaac BelliveauCrunch (TAM)D86257-51954170186611.11%19130015.131124119000411901100.00%31314000.1100010011
14Konnor SmithCrunch (TAM)D76257-163725255431796.45%3483511.00011341000032000%0823000.1701023000
15Tristan AllardCrunch (TAM)C67336-120053702071015.00%676011.360000101011160150.62%162310000.1634000001
16Ryan SandelinCrunch (TAM)C/LW/RW64156-3005555219144.76%880712.61000010000070060.61%3387000.1500000000
17Filip RoosCrunch (TAM)D33145-22115304527873.70%3270221.3000003000011000%0617100.1400111010
18Tobie BissonCrunch (TAM)D86055-154020611223016160%57182021.1701151140002112000%11632000.0500103000
19Dan RenoufCrunch (TAM)D8604438240412912350%187468.6800005011035000%0513000.1100134000
20Lukas FischerCrunch (TAM)D86011-1239531526230%6104412.140000000002000%025000.0200001000
21Brayden TraceyCrunch (TAM)LW9000000130000%0171.890000000000000%00000000000000
22Noel NordhCrunch (TAM)LW34000-100562110%11323.91000030000000100.00%10200000000000
23Blake BiondiCrunch (TAM)C81000-200020010%0450.5700000000000050.00%80000000000000
Statistiques d’équipe totales ou en moyenne1650194290484-24187038013951913138341476714.03%6002662416.145690146219151791120621279251546.69%3594397414370.362371222232283136
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)702729110.8662.454092281671247686320.702476917431
2Dennis HildebyLightning1731040.8703.2310230055423249000.60015170010
3Sergei MurashovCrunch (TAM)50110.8684.361240096838000.5717069000
Statistiques d’équipe totales ou en moyenne923040160.8672.65524028231173897332698686441


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
Blake BiondiCrunch (TAM)C242002-04-24USAYes198 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,335,000$0$0$No1,335,000$1,335,000$-------1,335,000$1,335,000$-------NoNo-------Lien
Brayden TraceyCrunch (TAM)LW252001-05-28ABNo186 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,146,000$0$0$No1,146,000$--------1,146,000$--------No--------Lien
Charles-Alexis LegaultCrunch (TAM)D222003-09-05CANYes208 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,287,000$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$0$0$No1,345,000$1,345,000$-------1,345,000$1,345,000$-------NoNo-------Lien
Chase WheatcroftCrunch (TAM)C242002-05-28CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Dan RenoufCrunch (TAM)D321994-06-01CANNo198 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Eduard SaleCrunch (TAM)LW212005-03-10CZEYes170 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,290,000$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$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$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Lien
Filip RoosCrunch (TAM)D271999-01-05SWENo200 Lbs6 ft4NoNoN/ANoYes2FalseFalsePro & Farm1,268,000$0$0$No1,268,000$--------1,268,000$--------No--------Lien
Isaac BelliveauCrunch (TAM)D232002-11-26QCYes185 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,255,000$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$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$0$0$No1,260,000$1,260,000$-------1,260,000$1,260,000$-------NoNo-------Lien
Matt VillaltaCrunch (TAM)G271999-06-03CANYes190 Lbs6 ft3NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Noel NordhCrunch (TAM)LW212005-01-25SWEYes196 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,266,000$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$0$0$No---------------------------Lien
Sandis VilmanisCrunch (TAM)LW222004-01-23LATYes192 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,288,000$0$0$No1,288,000$1,288,000$-------1,288,000$1,288,000$-------NoNo-------Lien
Sergei MurashovCrunch (TAM)G222004-04-01RUSYes187 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,170,000$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$0$0$No---------------------------Lien
Tanner DickinsonCrunch (TAM)C242002-03-05USAYes176 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,135,000$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$0$0$No---------------------------Lien
Tristan AllardCrunch (TAM)C232002-06-23ONTNo196 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Wyatt AamodtCrunch (TAM)D281997-11-22USANo201 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.39192 Lbs6 ft22.261,137,304$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chase WheatcroftEduard SaleChase Bradley40122
2Ethan CardwellSandis VilmanisTanner Dickinson30122
3Ethan CardwellTanner DickinsonChase Wheatcroft20122
4Ethan CardwellChase WheatcroftChase Bradley10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt AamodtFilip Roos40122
2Charles-Alexis LegaultTobie Bisson30122
3Wyatt AamodtLukas Fischer20122
4Isaac BelliveauWyatt Aamodt10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chase WheatcroftEthan CardwellChase Bradley60122
2Eduard SaleSandis 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
2Sandis VilmanisTanner 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
1Chase Bradley60122Wyatt AamodtCharles-Alexis Legault60122
2Chase Wheatcroft40122Tobie BissonLukas Fischer40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ethan CardwellChase 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 BradleyEthan CardwellChase WheatcroftWyatt AamodtCharles-Alexis Legault
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chase BradleyEthan CardwellChase WheatcroftWyatt AamodtCharles-Alexis Legault
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chase Bradley, Chase Wheatcroft, Tanner DickinsonChase Wheatcroft, Chase BradleyChase Wheatcroft
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Charles-Alexis Legault, Wyatt Aamodt, Tobie BissonWyatt AamodtIsaac Belliveau, Wyatt Aamodt
Tirs de pénalité
Tanner Dickinson, Chase Bradley, Ethan Cardwell, 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
1Admirals2010100046-2100010002111010000025-320.5004711102766772716254492505922771338400.00%40100.00%0541113747.58%630133347.26%41788247.28%1387457166099121971079
2Americans2010000168-21000000156-11010000012-110.2506101600276677272825449250592572445303266.67%5260.00%1541113747.58%630133347.26%41788247.28%1387457166099121971079
3Barracuda311000018712010000146-21100000041330.5008132100276677274825449250592521722488337.50%6266.67%0541113747.58%630133347.26%41788247.28%1387457166099121971079
4Bears20200000614-81010000058-31010000016-500.0006915002766772734254492505925714102211100.00%5260.00%0541113747.58%630133347.26%41788247.28%1387457166099121971079
5Bruins51400000714-73120000057-22020000027-520.2007121900276677275625449250592842729806350.00%14657.14%0541113747.58%630133347.26%41788247.28%1387457166099121971079
6Canucks51101020972200000204223110100055080.8009112001276677274125449250592953337719222.22%11281.82%0541113747.58%630133347.26%41788247.28%1387457166099121971079
7Checkers2110000023-1110000002021010000003-320.5002460127667727242544925059229921383133.33%30100.00%0541113747.58%630133347.26%41788247.28%1387457166099121971079
8Comets2010000114-31000000101-11010000013-210.250123002766772725254492505923884377114.29%20100.00%0541113747.58%630133347.26%41788247.28%1387457166099121971079
9Condors53100100141313110010079-22200000074370.7001422360027667727822544925059210224396221838.10%12466.67%1541113747.58%630133347.26%41788247.28%1387457166099121971079
10Eagles21000010835100000102111100000062441.0008101800276677273325449250592231158285240.00%40100.00%1541113747.58%630133347.26%41788247.28%1387457166099121971079
11Griffins2010000125-31000000123-11010000002-210.2502350027667727272544925059230932356116.67%6433.33%0541113747.58%630133347.26%41788247.28%1387457166099121971079
12Gulls522000011213-1210000015413120000079-250.50012203200276677277925449250592802238729444.44%9544.44%0541113747.58%630133347.26%41788247.28%1387457166099121971079
13Heat2020000026-41010000013-21010000013-200.0002460027667727322544925059238192330400.00%9277.78%0541113747.58%630133347.26%41788247.28%1387457166099121971079
14IceHogs3010110057-21010000024-22000110033030.500591400276677274125449250592301720548225.00%5260.00%0541113747.58%630133347.26%41788247.28%1387457166099121971079
15Islanders21000001770110000005411000000123-130.75071118002766772746254492505925618142910220.00%7271.43%1541113747.58%630133347.26%41788247.28%1387457166099121971079
16Marlies3120000058-32110000045-11010000013-220.333581301276677274025449250592621337382150.00%16568.75%0541113747.58%630133347.26%41788247.28%1387457166099121971079
17Monsters21000010523110000004221000001010141.000571201276677274325449250592184840200.00%3166.67%0541113747.58%630133347.26%41788247.28%1387457166099121971079
18Moose2010100034-11010000013-21000100021120.50035800276677272525449250592271011226233.33%30100.00%0541113747.58%630133347.26%41788247.28%1387457166099121971079
19Penguins2010010046-21000010034-11010000012-110.25046100027667727192544925059230719344250.00%7271.43%0541113747.58%630133347.26%41788247.28%1387457166099121971079
20Phantoms2010010016-51000010001-11010000015-410.250112002766772711254492505922144304125.00%220.00%0541113747.58%630133347.26%41788247.28%1387457166099121971079
21Reign301000111013-3200000118801010000025-330.5001015250027667727682544925059211729265010110.00%8362.50%0541113747.58%630133347.26%41788247.28%1387457166099121971079
22Roadrunners30300000613-71010000025-32020000048-400.00061016002766772761254492505921003030629111.11%10370.00%1541113747.58%630133347.26%41788247.28%1387457166099121971079
23Rocket211000004401010000013-21100000031220.50047111027667727282544925059215721396233.33%330.00%0541113747.58%630133347.26%41788247.28%1387457166099121971079
24Senators2010100034-1100010001011010000024-220.50034701276677272225449250592342416314125.00%3233.33%0541113747.58%630133347.26%41788247.28%1387457166099121971079
25Silver Knights52000210181352100010087131000110106480.800182543012766772789254492505929333708413538.46%9366.67%2541113747.58%630133347.26%41788247.28%1387457166099121971079
26Stars2010001078-1100000105411010000024-220.500710170027667727482544925059252101226500.00%6183.33%0541113747.58%630133347.26%41788247.28%1387457166099121971079
27Thunderbirds2010010027-51000010012-11010000015-410.25023500276677273325449250592613426265120.00%30100.00%0541113747.58%630133347.26%41788247.28%1387457166099121971079
28Wild504010001020-1030300000514-92010100056-120.2001013230027667727942544925059220786508812216.67%10280.00%0541113747.58%630133347.26%41788247.28%1387457166099121971079
29Wolf Pack50300101715-82000010146-23030000039-620.20071118002766772750254492505928827457810110.00%15380.00%1541113747.58%630133347.26%41788247.28%1387457166099121971079
30Wolves21100000514110000005051010000001-120.50057120127667727332544925059217105229100.00%60100.00%1541113747.58%630133347.26%41788247.28%1387457166099121971079
Total86174006878183241-584391402657103123-20438260422180118-38760.4421832794622727667727127625449250592174058783213511975226.40%2066369.42%9541113747.58%630133347.26%41788247.28%1387457166099121971079
_Since Last GM Reset86174006878183241-584391402657103123-20438260422180118-38760.4421832794622727667727127625449250592174058783213511975226.40%2066369.42%9541113747.58%630133347.26%41788247.28%1387457166099121971079
_Vs Conference51132104544108124-162569013245565-1026712032205359-6510.5001081632711527667727731254492505929533394518131163429.31%1083567.59%5541113747.58%630133347.26%41788247.28%1387457166099121971079
_Vs Division2891502432737211446003223739-214590211036333340.60773110183022766772743925449250592577177255417742331.08%642167.19%3541113747.58%630133347.26%41788247.28%1387457166099121971079

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8676W518327946212761740587832135127
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8617406878183241
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
439142657103123
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
43826422180118
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1975226.40%2066369.42%9
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
2544925059227667727
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
541113747.58%630133347.26%41788247.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1387457166099121971079


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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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)
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6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
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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
43535Canucks1Crunch2WXXSommaire du match
44556Reign4Crunch3LXXSommaire du match
45571Crunch3Rocket1WSommaire du match
46585Crunch0Wolf Pack3LSommaire du match
47596IceHogs4Crunch2LSommaire du match
48615Reign4Crunch5WXXSommaire du match
49631Crunch2Islanders3LXXSommaire du match
51650Crunch1Americans2LSommaire du match
52662Heat3Crunch1LSommaire du match
53681Crunch5Gulls2WSommaire du match
54692Bruins3Crunch5WSommaire du match
55710Crunch1Comets3LSommaire du match
57722Condors2Crunch3WSommaire du match
58745Senators0Crunch1WXSommaire du match
60764Crunch2Reign5LSommaire du match
61776Roadrunners5Crunch2LSommaire du match
62786Crunch2Admirals5LSommaire du match
64807Admirals1Crunch2WXSommaire du match
65820Crunch3Wild2WXSommaire du match
66835Crunch1Penguins2LSommaire du match
67846Americans6Crunch5LXXSommaire du match
68865Phantoms1Crunch0LXSommaire du match
70884Crunch1Monsters0WXXSommaire du match
72901Penguins4Crunch3LXSommaire du match
73921Crunch1Thunderbirds5LSommaire du match
74933Griffins3Crunch2LXXSommaire du match
76949Crunch4Barracuda1WSommaire du match
77963Comets1Crunch0LXXSommaire du match
79983Crunch2Senators4LSommaire du match
80995Checkers0Crunch2WSommaire du match
811010Crunch2Stars4LSommaire du match
831026Wild7Crunch2LSommaire du match
841046Crunch1Phantoms5LSommaire du match
851055Crunch2Moose1WXSommaire du match
861061Thunderbirds2Crunch1LXSommaire du match
881086Gulls2Crunch1LXXSommaire du match
901111Crunch1Bears6LSommaire du match
911123Silver Knights1Crunch3WSommaire du match
921146Crunch4Condors2WSommaire du match
931148Crunch0Wolves1LSommaire du match
941157Wolf Pack1Crunch0LXSommaire du match
961179Marlies5Crunch2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981210Rocket3Crunch1LSommaire du match
991215Crunch0Griffins2LSommaire du match
1011238Crunch0Canucks3LSommaire du match
1021244Marlies0Crunch2WSommaire du match
1031256Crunch4Silver Knights0WSommaire du match
1041269Crunch1IceHogs2LXSommaire du match
1051275Crunch2Canucks0WSommaire du match
1061286Gulls2Crunch4WSommaire du match
1081305Eagles1Crunch2WXXSommaire du match
1091317Crunch5Silver Knights4WXXSommaire du match
1101324Crunch2IceHogs1WXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance59,39232,100
Assistance PCT69.06%74.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2128 - 70.92% 88,715$3,814,728$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,600,050$ 2,615,800$ 2,615,800$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
23,355$ 2,600,052$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 32,284$ 0$




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