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Crunch
GP: 80 | W: 39 | L: 31 | OTL: 10 | P: 88
GF: 300 | GA: 323 | PP%: 19.24% | PK%: 80.85%
DG: Keven St-Amand | Morale : 38 | Moyenne d’équipe : 66

Centre de jeu
Crunch
39-31-10, 88pts
2
FINAL
7 Little Stars
34-36-10, 78pts
Team Stats
W1SéquenceL1
24-11-5Fiche domicile19-19-2
15-20-5Fiche domicile15-17-8
6-4-0Derniers 10 matchs5-4-1
3.75Buts par match 3.98
4.04Buts contre par match 4.24
19.24%Pourcentage en avantage numérique20.42%
80.85%Pourcentage en désavantage numérique82.08%
Punishers
39-30-11, 89pts
1
FINAL
3 Crunch
39-31-10, 88pts
Team Stats
L2SéquenceW1
19-15-6Fiche domicile24-11-5
20-15-5Fiche domicile15-20-5
4-5-1Derniers 10 matchs6-4-0
4.09Buts par match 3.75
4.04Buts contre par match 4.04
18.02%Pourcentage en avantage numérique19.24%
79.23%Pourcentage en désavantage numérique80.85%
Meneurs d'équipe
Buts
Andrei Svechnikov
58
Passes
Jean-Sebastien Dea
59
Points
Andrei Svechnikov
113
Plus/Moins
Moritz Seider
7
Victoires
Ukko-Pekka Luukkonen
27
Pourcentage d’arrêts
Ukko-Pekka Luukkonen
0.878

Statistiques d’équipe
Buts pour
300
3.75 GFG
Tirs pour
2557
31.96 Avg
Pourcentage en avantage numérique
19.2%
61 GF
Début de zone offensive
38.2%
Buts contre
323
4.04 GAA
Tirs contre
2559
31.99 Avg
Pourcentage en désavantage numérique
80.9%%
54 GA
Début de la zone défensive
34.8%
Informations de l'équipe

Directeur généralKeven St-Amand
EntraîneurAlex Kovalev
DivisionPaul-Loicq
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,766
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure23
Limite contact 48 / 250
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jean-Sebastien DeaX100.007145817573807373777179667662564751720253900,000$
2Jeremy Bracco (R)X100.006631797368757978868569556453494758700222900,000$
3Connor Bunnaman (R)X100.006831877571856466677363766649455343700211750,000$
4Andrei Svechnikov (R)X100.006533798157727183686873579048447867690191500,000$
5Anatoli GolyshevX100.006433727371717469778469595952524458680241700,000$
6Matias Maccelli (R)X100.005734736650697273818574495743437445660192500,000$
7Brandon Biro (R)X100.006639776963676270706570557144445045650213600,000$
8Liam Foudy (R)X100.006231757559665774696963577942426741650191500,000$
9Joe Veleno (R)X100.006647776761716265686668576742426758640191500,000$
10Dylan Cozens (R)X100.005033817250676361818567465840407940640182500,000$
11Ty Dellandrea (R)X100.006744816165676871657067557041417058640191500,000$
12Blake Lizotte (R)X100.005226757353645973656168616846464719630221500,000$
13Cam Hillis (R)X100.006031766253656364757959425141426558600191500,000$
14Ryan Lindgren (R)X100.007434887570746661476560805853455646700211750,000$
15Sean WalkerX100.006736767573736463347251775755543234690251700,000$
16Gustav Lindstrom (R)X100.006834817561596783457259725449455358680212700,000$
17Nils Lundkvist (R)X100.006235777862566980457856715148427243670191500,000$
18Michael DowningX100.005339717358646772477353704648483623640241500,000$
19Moritz Seider (R)X100.005133768250587179338057694540409143640182500,000$
20Thomas Harley (R)X100.005130807855537077378258654140408458640182500,000$
21Blake Hillman (R)X100.006951735970717157365941605246483922620231500,000$
Rayé
1Michael JolyX100.006620777168737060717668626650493844660242800,000$
MOYENNE D’ÉQUIPE100.00633578726268677161746362614745594666
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
1Ukko-Pekka Luukkonen100.00598066666872668381725447446271700202800,000$
2Josef Korenar100.00726271726955636168607046444958640212600,000$
Rayé
1Lukas Dostal100.00507845575956557067524841416921580191500,000$
MOYENNE D’ÉQUIPE100.0060736165656161717261574543605064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Kovalev66646970404258RUS493750,000$


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
1Andrei SvechnikovCrunch (T.B)RW8058551131460127843029919619.21%40151918.99151934392621012218452.76%1277421041.49240001048
2Jean-Sebastien DeaCrunch (T.B)C764959108-103001271602527914419.44%55174622.981216283924810142093253.27%26154238111.24140006105
3Jeremy BraccoCrunch (T.B)RW804556101-9540124813099321214.56%48161220.16111425532630114484354.67%1506322111.25130001074
4Anatoli GolyshevCrunch (T.B)LW80365490-6580146792197414216.44%29140917.6191928231951013826056.67%905716011.2802000732
5Matias MaccelliCrunch (T.B)LW792942711520109831935211115.03%22124615.787152227179000073154.17%723013001.1400000433
6Connor BunnamanCrunch (T.B)C77254368220125127130569819.23%34129316.8051015916900021035147.49%9163223001.0504000246
7Michael JolyCrunch (T.B)RW75231740514010483130425917.69%24111414.8654916155000094147.92%482113000.7211000220
8Dylan CozensCrunch (T.B)C7972936-14335555912037775.83%1099212.571564650221452153.29%486329000.7300000013
9Gustav LindstromCrunch (T.B)D8053136-83809111413151523.82%96178722.35281092141014202010%02747100.4000000101
10Moritz SeiderCrunch (T.B)D7882735765539969936408.08%67131916.92671315163000262100%02534000.5300000002
11Nils LundkvistCrunch (T.B)D7843034-936068928335394.82%80152119.51156131920001156000%12461000.4500000000
12Liam FoudyCrunch (T.B)RW70131427-11160766513451939.70%2784912.13000030001362348.48%333210000.6400000111
13Ryan LindgrenCrunch (T.B)D5551722-1520961158525285.88%81147926.90235111920002183000%02242000.3000000011
14John DraegerLightningD4051419-738056885528319.09%59106726.6831481360002112200%01638000.3600000100
15Brandon BiroCrunch (T.B)LW7581119-2218098468725449.20%2185011.35000050000190042.86%212617000.4500000101
16Joe VelenoCrunch (T.B)LW8071017-823569568922457.87%127689.610114400002870033.33%9149000.4400000300
17Sean WalkerCrunch (T.B)D5821517-22540681166430293.13%89142524.5723592040110145000%01041000.2401000000
18Ty DellandreaCrunch (T.B)RW8071017-168072298926577.87%46718.39213641000014042.86%21146000.5100000101
19Blake LizotteCrunch (T.B)C435712-540203146223810.87%33528.19000010000290040.65%123107000.6800000020
20Thomas HarleyCrunch (T.B)D8011011-1212015595423151.85%4494911.87101329000017000%0936000.2300000000
21Cam HillisCrunch (T.B)C80347-1100362330202010.00%64045.0600006000020045.99%13770000.3500000010
22Joel Eriksson EkLightningC2112-4004611279.09%24723.68112411000040043.28%6711000.8401000000
23Michael DowningCrunch (T.B)D40101-71001021102610.00%112436.090000000015000%005000.0800000000
24Blake HillmanCrunch (T.B)D37000240442030%21524.120000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne1602347556903-16862715173917172724930158612.74%8662482515.50851322172922784448311596441751.42%4916588510370.73520000493938
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
1Ukko-Pekka LuukkonenCrunch (T.B)60271970.8783.883327002151760933320.600105721132
2Josef KorenarCrunch (T.B)208910.8773.979530063514288100.66731346200
Statistiques d’équipe totales ou en moyenne80352880.8783.904280002782274122142137067332


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
Anatoli GolyshevCrunch (T.B)LW241995-01-01RUSNo187 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Andrei SvechnikovCrunch (T.B)RW192000-01-01RUSYes195 Lbs6 ft2NoNoTrade2025-04-13NoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Blake HillmanCrunch (T.B)D231996-01-01USAYes181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Blake LizotteCrunch (T.B)C221997-01-01USAYes172 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Brandon BiroCrunch (T.B)LW211998-01-01CANYes170 Lbs5 ft11NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm600,000$0$0$No700,000$800,000$-------600,000$600,000$-------NoNo-------
Cam HillisCrunch (T.B)C192000-01-01CANYes189 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Connor BunnamanCrunch (T.B)C211998-01-01CANYes214 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Dylan CozensCrunch (T.B)C182001-01-01CANYes194 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Gustav LindstromCrunch (T.B)D211998-01-01SWEYes183 Lbs6 ft2NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm700,000$0$0$No800,000$--------700,000$--------No--------
Jean-Sebastien DeaCrunch (T.B)C251994-01-01CANNo168 Lbs5 ft11NoNoTrade2024-09-24NoNo3FalseFalsePro & Farm900,000$0$0$No1,100,000$1,400,000$-------750,000$750,000$-------NoNo-------
Jeremy BraccoCrunch (T.B)RW221997-01-01USAYes185 Lbs5 ft11NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm900,000$0$0$No975,000$--------900,000$--------No--------
Joe VelenoCrunch (T.B)LW192000-01-01CANYes206 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Josef KorenarCrunch (T.B)G211998-01-01CZENo185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Liam FoudyCrunch (T.B)RW192000-01-01CANYes188 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Lukas DostalCrunch (T.B)G192000-01-01CZENo174 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Matias MaccelliCrunch (T.B)LW192000-01-01FINYes176 Lbs5 ft11NoNoTrade2025-04-10NoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Michael DowningCrunch (T.B)D241995-01-01USANo185 Lbs6 ft3NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm500,000$0$0$No---------------------------
Michael JolyCrunch (T.B)RW241995-01-01CANNo185 Lbs5 ft10NoNoTrade2024-09-24NoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------600,000$--------No--------
Moritz SeiderCrunch (T.B)D182001-01-01DEUYes205 Lbs6 ft3NoNoTrade2025-04-10NoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Nils LundkvistCrunch (T.B)D192000-01-01SWEYes190 Lbs5 ft11NoNoTrade2024-08-20NoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Ryan LindgrenCrunch (T.B)D211998-01-01USAYes198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Sean WalkerCrunch (T.B)D251994-01-01RUSNo194 Lbs6 ft3NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm700,000$0$0$No---------------------------
Thomas HarleyCrunch (T.B)D182001-01-01USAYes205 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Ty DellandreaCrunch (T.B)RW192000-01-01CANYes195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Ukko-Pekka LuukkonenCrunch (T.B)G201999-01-01FINNo217 Lbs6 ft5NoNoFree Agent2024-07-10NoNo22024-09-01FalseFalsePro & Farm800,000$0$0$No925,000$--------800,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2520.80190 Lbs6 ft11.52608,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anatoli GolyshevJean-Sebastien DeaJeremy Bracco40122
2Matias MaccelliConnor BunnamanAndrei Svechnikov30122
3Brandon BiroDylan CozensLiam Foudy20122
4Joe VelenoBlake LizotteTy Dellandrea10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan LindgrenSean Walker40122
2Gustav LindstromNils Lundkvist30122
3Thomas HarleyMichael Downing20122
4Moritz SeiderBlake Hillman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anatoli GolyshevJean-Sebastien DeaJeremy Bracco60122
2Matias MaccelliConnor BunnamanAndrei Svechnikov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan LindgrenSean Walker60122
2Gustav LindstromNils Lundkvist40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jean-Sebastien DeaJeremy Bracco60122
2Connor BunnamanAndrei Svechnikov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan LindgrenSean Walker60122
2Gustav LindstromNils Lundkvist40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jean-Sebastien Dea60122Ryan LindgrenSean Walker60122
2Jeremy Bracco40122Gustav LindstromNils Lundkvist40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jean-Sebastien DeaJeremy Bracco60122
2Connor BunnamanAndrei Svechnikov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan LindgrenSean Walker60122
2Gustav LindstromNils Lundkvist40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anatoli GolyshevJean-Sebastien DeaJeremy BraccoRyan LindgrenSean Walker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anatoli GolyshevJean-Sebastien DeaJeremy BraccoRyan LindgrenSean Walker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam Hillis, Brandon Biro, Liam FoudyCam Hillis, Brandon BiroLiam Foudy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Thomas Harley, Michael Downing, Moritz SeiderThomas HarleyMichael Downing, Moritz Seider
Tirs de pénalité
Jean-Sebastien Dea, Jeremy Bracco, Connor Bunnaman, Andrei Svechnikov, Anatoli Golyshev
Gardien
#1 : Ukko-Pekka Luukkonen, #2 : Josef Korenar
Lignes d’attaque personnalisées en prolongation
Jean-Sebastien Dea, Jeremy Bracco, Connor Bunnaman, Andrei Svechnikov, Anatoli Golyshev, Matias Maccelli, Brandon Biro, Liam Foudy, Ty Dellandrea, Dylan Cozens
Lignes de défense personnalisées en prolongation
Ryan Lindgren, Sean Walker, Gustav Lindstrom, Nils Lundkvist, Thomas Harley


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
1Admirals31101000151501100000064220101000911-240.66715254000881188213109821941766471014019751100.00%9366.67%0938181051.82%821165049.76%692128453.89%173798516677501447730
2Americans211000006511010000034-11100000031220.50061117008811882136682194176647622110585120.00%5180.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
3Barracuda201000011014-41000000167-11010000047-310.2501018280088118821371821941766476922841300.00%5260.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
4Bears312000001217-51010000037-421100000910-120.33312203200881188213788219417664798312458400.00%12375.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
5Canucks412010001318-521100000710-32010100068-240.500132437008811882131118219417664712235328520210.00%16193.75%0938181051.82%821165049.76%692128453.89%173798516677501447730
6Checkers62103000272073100200013943110100014113100.8332745720088118821318882194176647177636212830516.67%31293.55%0938181051.82%821165049.76%692128453.89%173798516677501447730
7Comets312000001415-11010000056-12110000099020.3331424380088118821310882194176647983710626233.33%5260.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
8Condors210001001165110000007161000010045-130.7501118290088118821377821941766475319126012325.00%6266.67%0938181051.82%821165049.76%692128453.89%173798516677501447730
9Eagles723001102426-2412000101011-1311001001415-170.5002445690088118821321182194176647223786716841921.95%28582.14%1938181051.82%821165049.76%692128453.89%173798516677501447730
10Firebirds320010001713421001000131121100000042261.00017304700881188213101821941766471084114537342.86%7357.14%0938181051.82%821165049.76%692128453.89%173798516677501447730
11Griffins20200000511-61010000035-21010000026-400.000591400881188213608219417664764218328112.50%4175.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
12Gulls20101000611-5100010004311010000028-620.500691500881188213678219417664760144315120.00%2150.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
13Icehogs2010100057-21010000025-31000100032120.5005611008811882136082194176647702310367114.29%5260.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
14Islander412000101415-11100000054130200010911-240.500142337008811882131308219417664713346288814428.57%14285.71%0938181051.82%821165049.76%692128453.89%173798516677501447730
15Little Stars302000011021-111000000145-120200000616-1010.16710162600881188213918219417664710035184616318.75%9366.67%0938181051.82%821165049.76%692128453.89%173798516677501447730
16Marlies31100100141402100010011921010000035-230.5001425390088118821310482194176647892826671000.00%13192.31%1938181051.82%821165049.76%692128453.89%173798516677501447730
17Moose2110000057-2110000003211010000025-320.50051015008811882136882194176647602212377228.57%6266.67%0938181051.82%821165049.76%692128453.89%173798516677501447730
18Penguins622010011419-53110100089-131100001610-470.5831424380088118821317182194176647178456713530413.33%32584.38%0938181051.82%821165049.76%692128453.89%173798516677501447730
19Phantoms21100000761110000006421010000012-120.500711180088118821366821941766477230839300.00%4250.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
20Punishers42001100181353200010013941000100054170.875183048008811882131508219417664713752407315426.67%20385.00%1938181051.82%821165049.76%692128453.89%173798516677501447730
21Rockets20200000811-31010000057-21010000034-100.00081523108811882136282194176647732510407342.86%5180.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
22Senators211000001082110000009541010000013-220.500102030108811882136182194176647711410487114.29%5180.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
23Thunderbirds330000001275220000007431100000053261.000122133008811882139882194176647983585112433.33%40100.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
24Wolfpack63100200212013210000011101310002001010080.6672136570088118821319782194176647188474812029724.14%25580.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
25Wranglers2010010024-21000010012-11010000012-110.250235008811882135282194176647552320398112.50%10190.00%0938181051.82%821165049.76%692128453.89%173798516677501447730
Total802731010723300323-2340181105312165153124092005411135170-35880.55030051881820881188213255782194176647255984757516703176119.24%2825480.85%3938181051.82%821165049.76%692128453.89%173798516677501447730
_Since Last GM Reset802731010723300323-2340181105312165153124092005411135170-35880.55030051881820881188213255782194176647255984757516703176119.24%2825480.85%3938181051.82%821165049.76%692128453.89%173798516677501447730
_Vs Conference52201707422196204-8261270411199954268100331197109-12640.61519633853400881188213163482194176647166054541810672244720.98%2033483.25%2938181051.82%821165049.76%692128453.89%173798516677501447730
_Vs Division25970431186851135403010423931243013014446-2320.6408615023600881188213767821941766477662332445511302519.23%1161785.34%1938181051.82%821165049.76%692128453.89%173798516677501447730

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8088W130051881825572559847575167020
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
80273110723300323
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018115312165153
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
409205411135170
Derniers 10 matchs
WLOTWOTL SOWSOL
442000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3176119.24%2825480.85%3
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
82194176647881188213
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
938181051.82%821165049.76%692128453.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
173798516677501447730


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
27Eagles1Crunch4WR1Sommaire du match
626Punishers4Crunch3LXSommaire du match
1154Wolfpack2Crunch3WR1Sommaire du match
1464Crunch1Penguins5LSommaire du match
1780Penguins4Crunch1LR1Sommaire du match
1889Crunch5Eagles1WSommaire du match
21102Crunch3Wolfpack4LXR1Sommaire du match
22111Crunch3Checkers4LR1Sommaire du match
23119Checkers5Crunch6WXSommaire du match
25126Crunch2Islander3LSommaire du match
27141Canucks6Crunch2LSommaire du match
31158Crunch5Eagles6LXR1Sommaire du match
32168Eagles3Crunch4WXXSommaire du match
35184Crunch4Bears9LSommaire du match
37192Marlies5Crunch4LXSommaire du match
39204Crunch3Wolfpack1WR1Sommaire du match
41210Crunch3Americans1WSommaire du match
44222Wolfpack4Crunch6WR1Sommaire du match
46232Crunch2Canucks5LSommaire du match
50251Icehogs5Crunch2LSommaire du match
52265Crunch4Checkers3WXR1Sommaire du match
54273Crunch4Firebirds2WSommaire du match
55282Admirals4Crunch6WSommaire du match
60305Wranglers2Crunch1LXSommaire du match
63320Crunch1Senators3LSommaire du match
65327Crunch6Comets1WSommaire du match
66336Americans4Crunch3LSommaire du match
69354Comets6Crunch5LSommaire du match
71368Crunch2Griffins6LSommaire du match
73377Penguins2Crunch3WXR1Sommaire du match
76387Crunch4Barracuda7LSommaire du match
79402Phantoms4Crunch6WSommaire du match
83426Bears7Crunch3LSommaire du match
85435Crunch2Moose5LSommaire du match
88451Eagles3Crunch1LR1Sommaire du match
92475Canucks4Crunch5WSommaire du match
94483Crunch4Condors5LXSommaire du match
96495Crunch3Penguins4LXXR1Sommaire du match
98504Barracuda7Crunch6LXXSommaire du match
101515Crunch2Admirals5LSommaire du match
105531Condors1Crunch7WSommaire du match
107545Crunch4Wolfpack5LXR1Sommaire du match
109557Little Stars5Crunch4LXXSommaire du match
111567Crunch4Canucks3WXSommaire du match
114582Islander4Crunch5WSommaire du match
116593Crunch7Checkers4WR1Sommaire du match
118606Crunch5Punishers4WXSommaire du match
119612Thunderbirds2Crunch4WSommaire du match
122626Crunch5Bears1WSommaire du match
124633Crunch2Penguins1WR1Sommaire du match
126643Crunch3Rockets4LSommaire du match
127648Wolfpack4Crunch2LR1Sommaire du match
130669Griffins5Crunch3LSommaire du match
132679Crunch2Gulls8LSommaire du match
134689Crunch3Comets8LSommaire du match
135699Gulls3Crunch4WXSommaire du match
138718Crunch3Icehogs2WXSommaire du match
139724Eagles4Crunch1LR1Sommaire du match
142739Crunch3Marlies5LSommaire du match
144750Thunderbirds2Crunch3WSommaire du match
148773Marlies4Crunch7WSommaire du match
152795Penguins3Crunch4WR1Sommaire du match
154804Crunch4Islander3WXXSommaire du match
157821Moose2Crunch3WSommaire du match
159831Crunch3Islander5LSommaire du match
161845Crunch1Wranglers2LSommaire du match
163853Senators5Crunch9WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165862Crunch4Eagles8LR1Sommaire du match
168877Firebirds7Crunch8WXSommaire du match
172898Firebirds4Crunch5WSommaire du match
174911Crunch5Thunderbirds3WSommaire du match
176923Crunch1Phantoms2LSommaire du match
177930Rockets7Crunch5LSommaire du match
181948Checkers3Crunch4WXR1Sommaire du match
186974Checkers1Crunch3WSommaire du match
188982Crunch4Little Stars9LSommaire du match
191997Punishers4Crunch7WSommaire du match
1921004Crunch7Admirals6WXSommaire du match
1931009Crunch2Little Stars7LSommaire du match
1991032Punishers1Crunch3WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance73,89936,753
Assistance PCT92.37%91.88%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2766 - 92.21% 174,380$6,975,201$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,304,995$ 1,520,000$ 1,520,000$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,525$ 1,545,669$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 11,238$ 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