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Connexion

Crunch
GP: 7 | W: 4 | L: 2 | OTL: 1 | P: 9
GF: 21 | GA: 19 | PP%: 16.67% | PK%: 100.00%
DG: Guillaume Cazes | Morale : 51 | Moyenne d’équipe : 62
Prochains matchs #113 vs Comets

Centre de jeu
SenatorsF
3-0-3, 9pts
4
FINAL
3 Crunch
4-2-1, 9pts
Team Stats
OTW1SéquenceW1
1-0-2Fiche domicile1-1-1
2-0-1Fiche domicile3-1-0
3-0-3Derniers 10 matchs4-2-1
3.50Buts par match 3.00
3.00Buts contre par match 2.71
26.67%Pourcentage en avantage numérique16.67%
100.00%Pourcentage en désavantage numérique100.00%
Crunch
4-2-1, 9pts
4
FINAL
1 Americans
2-4-1, 5pts
Team Stats
W1SéquenceL1
1-1-1Fiche domicile2-1-1
3-1-0Fiche domicile0-3-0
4-2-1Derniers 10 matchs2-4-1
3.00Buts par match 1.86
2.71Buts contre par match 3.14
16.67%Pourcentage en avantage numérique15.79%
100.00%Pourcentage en désavantage numérique69.57%
Crunch
4-2-1, 9pts
2025-08-27
Comets
2-5-0, 4pts
Statistiques d’équipe
W1SéquenceL2
1-1-1Fiche domicile0-3-0
3-1-0Fiche visiteur2-2-0
4-2-110 derniers matchs2-5-0
3.00Buts par match 2.71
2.71Buts contre par match 2.71
16.67%Pourcentage en avantage numérique28.57%
100.00%Pourcentage en désavantage numérique77.78%
Marlies
4-2-0, 8pts
2025-08-29
Crunch
4-2-1, 9pts
Statistiques d’équipe
W2SéquenceW1
2-1-0Fiche domicile1-1-1
2-1-0Fiche visiteur3-1-0
4-2-010 derniers matchs4-2-1
3.17Buts par match 3.00
2.00Buts contre par match 3.00
36.36%Pourcentage en avantage numérique16.67%
77.78%Pourcentage en désavantage numérique100.00%
Reign
2-4-0, 4pts
2025-09-01
Crunch
4-2-1, 9pts
Statistiques d’équipe
L1SéquenceW1
1-3-0Fiche domicile1-1-1
1-1-0Fiche visiteur3-1-0
2-4-010 derniers matchs4-2-1
2.83Buts par match 3.00
3.00Buts contre par match 3.00
34.78%Pourcentage en avantage numérique16.67%
69.23%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Antoine Morand
3
Passes
Jett Woo
5
Points
Jett Woo
6
Plus/Moins
Valentin Zykov
3
Victoires
Veini Vehvilainen
4
Pourcentage d’arrêts
Veini Vehvilainen
0.888

Statistiques d’équipe
Buts pour
21
3.00 GFG
Tirs pour
149
21.29 Avg
Pourcentage en avantage numérique
16.7%
3 GF
Début de zone offensive
36.7%
Buts contre
19
2.71 GAA
Tirs contre
189
27.00 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
43.6%
Informations de l'équipe

Directeur généralGuillaume Cazes
EntraîneurMichel Therrien
DivisionDivision Sud-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,964
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 56
Espoirs23


Historique d'équipe

Saison actuelle4-2-1 (9PTS)
Historique85-71-17 (0.491%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)7 - 6 (0.538%)
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Johan SundstromX100.0056459569737275706470686965665446526403211,100,000$
2Valentin ZykovXX100.0060459571767176716668676965624942526403031,250,000$
3JC LiponXX100.0075707971707672706269716969524849526403211,200,000$
4Logan ShawXX100.0060449770767574695864656963654834526303231,100,000$
5Mackenzie MacEachernXX100.0057439670727270706068677065595038526303131,100,000$
6Antoine MorandX100.006044957268747468737067705951475652630261750,000$
7James SheppardXX100.0071548767716970656763636861746226496303711,000,000$
8Patrick RussellXX100.0065459371727180706067667164584534536303231,100,000$
9Brendan LeipsicXX100.0059459971677473686065656863655038526303131,000,000$
10Jordan SchroederX100.005744997067706667626764676262492652620343950,000$
11Maxim ShalunovXX100.006045977175736970576768686645453452620323950,000$
12Corey TrivinoX100.0058439872716672666662636661494634526003511,000,000$
13Kasper KotkansaloX100.006744877271737467456768725653485642640261750,000$
14Fredrik ClaessonX100.0068509170737086694566656963674734526403231,200,000$
15Jett WooX100.007464667371717268456764706048466652630252750,000$
16Petter GranbergX100.006245957074676668456362686050453452620333900,000$
17Niklas HanssonX100.006245927170676869456468686650454252620303900,000$
18Thomas SchemitschX100.006245917073697262456662675455465353620282900,000$
Rayé
1Tomas HykaXX100.0055439673696867686460657160524646436103211,000,000$
2Tanner FritzXX100.005945997070706568596466706450453043610343900,000$
3Dominik UherXX100.006245886973676667656463666148453443600321650,000$
4Adam MascherinXX100.006346827269677162646263595952465643600273700,000$
5Jonathan MatsumotoX100.0058459166676663646462626661504521435903811,000,000$
6Emil DjuseX100.005644977069686868456566686445453843620313900,000$
7Nick WolffX100.007861687275676463456562645546455343610292800,000$
8Luke GreenX100.006647897068666656456160665746455443590273500,000$
9Jeremy RoyX100.006347867068695857456659635746455443590282700,000$
MOYENNE D’ÉQUIPE100.00634891707170706756656568615447424962
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
1Nikita Serebryakov100.00808176737972797475777745504654610293850,000$
2Veini Vehvilainen98.00838374748170827172787445505048610283850,000$
Rayé
1Brandon Bussi (R)100.00606060836060606060606045505446510271900,000$
MOYENNE D’ÉQUIPE99.3374757077736774686972704550504958
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien75848799999936CAN633100,000$


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
1Jett WooCrunch (TB )D715626011411509.09%914020.13000513011011000%000000.8500000100
2Antoine MorandCrunch (TB )C7336-520271331423.08%010414.88022416000000050.39%12700001.1500000000
3James SheppardCrunch (TB )LW/RW7325-555114101330.00%211616.692023150000153033.33%600000.8600010100
4Maxim ShalunovCrunch (TB )LW/RW714502045711414.29%18912.8300000000000050.00%600001.1100000000
5Valentin ZykovCrunch (TB )LW/RW722430026125416.67%011616.660000132022110060.00%1500000.6900000100
6Johan SundstromCrunch (TB )C712330036148107.14%412117.290001130222130051.03%14500000.5000000011
7Logan ShawCrunch (TB )LW/RW721304062106520.00%19814.0700000000060042.86%1400000.6100000000
8Mackenzie MacEachernCrunch (TB )LW/RW71231206892611.11%09713.9200000000010075.00%400000.6200000000
9JC LiponCrunch (TB )LW/RW712314085133147.69%311416.320000130001100047.83%2300000.5300000011
10Corey TrivinoCrunch (TB )C72130005964433.33%08912.7100000000001052.44%8200000.6700000100
11Patrick RussellCrunch (TB )LW/RW7123-5753693911.11%010114.54101116000000033.33%600000.5900001000
12Brendan LeipsicCrunch (TB )LW/RW73032004586837.50%09513.6400000000000080.00%500000.6300000011
13Fredrik ClaessonCrunch (TB )D7033200686170%515822.63000214000114000%000000.3800000000
14Petter GranbergCrunch (TB )D7022-420353220%412517.890112100003000%000000.3200000000
15Jordan SchroederCrunch (TB )C70221002117450%19313.4200000000010050.00%10200000.4300000000
16Kasper KotkansaloCrunch (TB )D7022160636340%413919.99011314000010000%000000.2900000000
17Niklas HanssonCrunch (TB )D7022000412390%413919.94011214000012000%000000.2900000000
18Thomas SchemitschCrunch (TB )D7000-295623230%1112718.160001000007000%00000000001000
Statistiques d’équipe totales ou en moyenne126213758-5491592971496212114.09%49206916.433582414823561214050.84%53500000.5600012433
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
1Veini VehvilainenCrunch (TB )74210.8883.0038020191700000070010
2Nikita SerebryakovCrunch (TB )10001.000040000190000007000
Statistiques d’équipe totales ou en moyenne84210.8992.714212019189000077010


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 Plafond 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
Adam MascherinCrunch (TB )LW/RW271998-06-06CANNo205 Lbs5 ft10NoNoN/ANoNo32025-05-28FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Antoine MorandCrunch (TB )C261999-02-18CANNo184 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Brandon BussiCrunch (TB )G271998-06-25USAYes218 Lbs6 ft5NoNoFree AgentNoNo12025-08-03FalseFalsePro & Farm900,000$0$0$No---------------------------
Brendan LeipsicCrunch (TB )LW/RW311994-05-19CANNo171 Lbs5 ft9NoNoFree AgentNoNo32025-07-21FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Corey TrivinoCrunch (TB )C351990-01-12CANNo193 Lbs6 ft1NoNoFree AgentNoNo12024-02-06FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Dominik UherCrunch (TB )LW/RW321992-12-31CHENo202 Lbs6 ft0NoNoFree AgentNoNo12025-08-05FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Emil DjuseCrunch (TB )D311993-10-27SWENo185 Lbs5 ft11NoNoFree AgentNoNo32025-08-01FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Fredrik ClaessonCrunch (TB )D321992-11-24SWENo205 Lbs6 ft1NoNoFree AgentNoNo32025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
JC LiponCrunch (TB )LW/RW321993-07-10CANNo189 Lbs6 ft0NoNoTrade2024-07-27NoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
James SheppardCrunch (TB )LW/RW371988-04-25CANNo215 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Jeremy RoyCrunch (TB )D281997-05-14CANNo187 Lbs6 ft0NoNoN/ANoNo22024-04-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Jett WooCrunch (TB )D252000-07-27CANNo205 Lbs6 ft0NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Johan SundstromCrunch (TB )C321992-09-21SWENo201 Lbs6 ft2NoNoFree AgentNoNo12024-07-22FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Jonathan MatsumotoCrunch (TB )C381986-10-13CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Jordan SchroederCrunch (TB )C341990-09-29USANo174 Lbs5 ft8NoNoFree AgentNoNo32025-08-05FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Kasper KotkansaloCrunch (TB )D261998-11-16FINNo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Logan ShawCrunch (TB )LW/RW321992-10-05CANNo211 Lbs6 ft4NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien
Luke GreenCrunch (TB )D271998-01-12CANNo187 Lbs6 ft0NoNoN/ANoNo32025-05-28FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Mackenzie MacEachernCrunch (TB )LW/RW311994-03-09USANo193 Lbs6 ft2NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien
Maxim ShalunovCrunch (TB )LW/RW321993-01-31RUSNo202 Lbs6 ft4NoNoFree AgentNoNo32025-08-03FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Nick WolffCrunch (TB )D291996-07-21USANo229 Lbs6 ft6NoNoN/ANoNo22024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Nikita SerebryakovCrunch (TB )G291995-11-01RUSNo178 Lbs5 ft11NoNoFree AgentNoNo32025-07-06FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Niklas HanssonCrunch (TB )D301995-01-08SWENo181 Lbs6 ft0NoNoFree AgentNoNo32025-08-01FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Patrick RussellCrunch (TB )LW/RW321993-01-04DENNo196 Lbs6 ft0NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien
Petter GranbergCrunch (TB )D331992-08-27SWENo205 Lbs6 ft2NoNoFree AgentNoNo32025-08-01FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Tanner FritzCrunch (TB )LW/RW341991-08-20CANNo192 Lbs5 ft11NoNoFree AgentNoNo32025-08-03FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Thomas SchemitschCrunch (TB )D281996-10-26CANNo201 Lbs6 ft5NoNoN/ANoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Tomas HykaCrunch (TB )LW/RW321993-03-23CZENo185 Lbs5 ft10NoNoFree AgentNoNo12024-01-31FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Valentin ZykovCrunch (TB )LW/RW301995-05-15RUSNo233 Lbs6 ft0NoNoFree AgentNoNo32025-07-21FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Lien
Veini VehvilainenCrunch (TB )G281997-03-13FINNo189 Lbs5 ft11NoNoFree AgentNoNo32025-07-06FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3030.67197 Lbs6 ft12.20921,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valentin ZykovJohan SundstromJC Lipon25122
2James SheppardAntoine MorandPatrick Russell25122
3Brendan LeipsicJordan SchroederMackenzie MacEachern25122
4Logan ShawCorey TrivinoMaxim Shalunov25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Fredrik ClaessonKasper Kotkansalo34122
2Jett WooNiklas Hansson34122
3Petter GranbergThomas Schemitsch32122
4Fredrik ClaessonKasper Kotkansalo0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valentin ZykovJohan SundstromJC Lipon50122
2James SheppardAntoine MorandPatrick Russell50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Fredrik ClaessonKasper Kotkansalo50122
2Jett WooNiklas Hansson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Johan SundstromValentin Zykov50122
2JC LiponJames Sheppard50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Fredrik ClaessonKasper Kotkansalo50122
2Jett WooNiklas Hansson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Johan Sundstrom50122Fredrik ClaessonKasper Kotkansalo50122
2Valentin Zykov50122Jett WooNiklas Hansson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Johan SundstromValentin Zykov50122
2JC LiponJames Sheppard50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Fredrik ClaessonKasper Kotkansalo50122
2Jett WooNiklas Hansson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valentin ZykovJohan SundstromJC LiponFredrik ClaessonKasper Kotkansalo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valentin ZykovJohan SundstromJC LiponFredrik ClaessonKasper Kotkansalo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Leipsic, Mackenzie MacEachern, Logan ShawBrendan Leipsic, Mackenzie MacEachernLogan Shaw
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Petter Granberg, Thomas Schemitsch, Jett WooPetter GranbergThomas Schemitsch, Jett Woo
Tirs de pénalité
Johan Sundstrom, Valentin Zykov, JC Lipon, James Sheppard, Antoine Morand
Gardien
#1 : Veini Vehvilainen, #2 : Nikita Serebryakov


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
1Americans11000000413000000000001100000041321.0004812001065020596029120521154125.00%10100.00%09819650.00%11923351.07%5510552.38%160107169529145
2Comets1010000014-31010000014-30000000000000.000123001065027596029121409200.00%000%09819650.00%11923351.07%5510552.38%160107169529145
3Firebirds11000000431000000000001100000043121.00046100010650185960291301021011100.00%10100.00%09819650.00%11923351.07%5510552.38%160107169529145
4Gulls11000000321000000000001100000032121.000358001065019596029140589100.00%40100.00%09819650.00%11923351.07%5510552.38%160107169529145
5Marlies1010000024-2000000000001010000024-200.00023500106502059602913082152150.00%10100.00%09819650.00%11923351.07%5510552.38%160107169529145
6SenatorsF1000010034-11000010034-10000000000010.5003690010650255960291259817400.00%40100.00%09819650.00%11923351.07%5510552.38%160107169529145
7Wolves11000000413110000004130000000000021.000471100106502059602912381017400.00%50100.00%29819650.00%11923351.07%5510552.38%160107169529145
Total74200100211923110010089-1431000001310390.6432137580010650149596029118949519218316.67%160100.00%29819650.00%11923351.07%5510552.38%160107169529145
_Since Last GM Reset74200100211923110010089-1431000001310390.6432137580010650149596029118949519218316.67%160100.00%29819650.00%11923351.07%5510552.38%160107169529145
_Vs Conference63200100181713110010089-132100000108270.5831832500010650130596029114944438317317.65%120100.00%29819650.00%11923351.07%5510552.38%160107169529145

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
79W121375814918949519200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
74201002119
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311010089
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
43100001310
Derniers 10 matchs
WLOTWOTL SOWSOL
420100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18316.67%160100.00%2
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
596029110650
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
9819650.00%11923351.07%5510552.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
160107169529145


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2025-08-124Wolves1Crunch4WSommaire du match
5 - 2025-08-1633Crunch3Gulls2WSommaire du match
6 - 2025-08-1743Crunch4Firebirds3WSommaire du match
8 - 2025-08-1956Comets4Crunch1LSommaire du match
11 - 2025-08-2276Crunch2Marlies4LSommaire du match
13 - 2025-08-2488SenatorsF4Crunch3LXSommaire du match
15 - 2025-08-26107Crunch4Americans1WSommaire du match
16 - 2025-08-27113Crunch-Comets-
18 - 2025-08-29128Marlies-Crunch-
21 - 2025-09-01146Reign-Crunch-
24 - 2025-09-04169Crunch-SenatorsF-
26 - 2025-09-06186Islanders-Crunch-
28 - 2025-09-08195Crunch-Moose-
29 - 2025-09-09206Crunch-Rocket-
31 - 2025-09-11222PenguinsF-Crunch-
33 - 2025-09-13242Wolf Pack-Crunch-
36 - 2025-09-16264Crunch-StarsF-
38 - 2025-09-18276Moose-Crunch-
40 - 2025-09-20291Crunch-Moose-
41 - 2025-09-21306Wolf Pack-Crunch-
44 - 2025-09-24327Crunch-Firebirds-
46 - 2025-09-26337Griffins-Crunch-
47 - 2025-09-27354Crunch-SenatorsF-
49 - 2025-09-29372Bears-Crunch-
52 - 2025-10-02392Crunch-Silver Knights-
54 - 2025-10-04401Thunderbirds-Crunch-
58 - 2025-10-08426Islanders-Crunch-
61 - 2025-10-11450Moose-Crunch-
63 - 2025-10-13470Crunch-Checkers-
65 - 2025-10-15479Crunch-BruinsF-
67 - 2025-10-17494Monsters-Crunch-
69 - 2025-10-19510Crunch-BruinsF-
70 - 2025-10-20525Crunch-Rocket-
72 - 2025-10-22533Marlies-Crunch-
75 - 2025-10-25558Icehogs-Crunch-
78 - 2025-10-28582Reign-Crunch-
80 - 2025-10-30597Crunch-Americans-
83 - 2025-11-02614Crunch-Iowa Wild-
84 - 2025-11-03622Eagles-Crunch-
87 - 2025-11-06646Wolves-Crunch-
89 - 2025-11-08663Crunch-Islanders-
91 - 2025-11-10680SenatorsF-Crunch-
93 - 2025-11-12696Crunch-Wolves-
95 - 2025-11-14706Crunch-Roadrunners-
96 - 2025-11-15717Checkers-Crunch-
99 - 2025-11-18733Crunch-Wolves-
100 - 2025-11-19749Wolves-Crunch-
103 - 2025-11-22767Crunch-Islanders-
104 - 2025-11-23781Checkers-Crunch-
106 - 2025-11-25795Crunch-Checkers-
109 - 2025-11-28812BruinsF-Crunch-
111 - 2025-11-30826Crunch-Comets-
113 - 2025-12-02842Admirals-Crunch-
115 - 2025-12-04855Crunch-Comets-
117 - 2025-12-06871Comets-Crunch-
119 - 2025-12-08888Crunch-Marlies-
121 - 2025-12-10905PenguinsF-Crunch-
122 - 2025-12-11913Crunch-Barracuda-
127 - 2025-12-16943BruinsF-Crunch-
130 - 2025-12-19966Bears-Crunch-
131 - 2025-12-20974Crunch-Bears-
134 - 2025-12-23994Crunch-Phantoms-
136 - 2025-12-251003Comets-Crunch-
137 - 2025-12-261015Crunch-PenguinsF-
140 - 2025-12-291034Americans-Crunch-
142 - 2025-12-311048Crunch-Wranglers-
144 - 2026-01-021063Crunch-Phantoms-
146 - 2026-01-041072Firebirds-Crunch-
150 - 2026-01-081101Rocket-Crunch-
151 - 2026-01-091109Crunch-Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
156 - 2026-01-141134Phantoms-Crunch-
159 - 2026-01-171158Firebirds-Crunch-
160 - 2026-01-181169Crunch-Wolf Pack-
163 - 2026-01-211190Americans-Crunch-
164 - 2026-01-221200Crunch-Wolf Pack-
168 - 2026-01-261222Rocket-Crunch-
171 - 2026-01-291244Crunch-Condors-
173 - 2026-01-311253Canucks-Crunch-
177 - 2026-02-041275Crunch-PenguinsF-
179 - 2026-02-061284Crunch-Gulls-
181 - 2026-02-081293Phantoms-Crunch-
182 - 2026-02-091296Crunch-Condors-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance5,9232,969
Assistance PCT98.72%98.97%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2964 - 98.80% 125,081$375,242$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
232,290$ 2,765,000$ 2,765,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 224,190$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,753,065$ 170 15,486$ 2,632,620$




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
1Par Lindholm1494458102-5376114741910.50%23265317.81819278111276648.99%00.7714
2Trevor Carrick15021769712113011412119.95%184314420.9771926781013510%00.6200
3Kasper Kotkansalo16524648817820912220711.59%197337120.43101222930111400%00.5200
4Antoine Morand161355186-12248723430411.51%29258716.07214164200035247.89%10.6601
5Laurent Dauphin114424385-55825313336511.51%30186816.391213256800013248.81%00.9115

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
1Dustin Tokarski114554490.9013.0463326432132390510.61526
2Andrey Makarov31131010.9092.59155102677390001.00010
3Linden Rowat37131540.8953.2220126010810250120.5006
4Veini Vehvilainen74210.8883.00380201917000000
5Nikita Serebryakov10001.0000400001900000

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
Saison régulière
158238310323527424826412015022111341221241181601024140126149527449376704102818510247982879782266242067954914152546023.62%2253982.67%31428288349.53%1366269650.67%691133551.76%1979135419196051072539
1682303807502244258-14411715053011341231141132302201110135-2581244440684328684677230078073976918258676258013212745018.25%2505080.00%41257267047.08%1309282446.35%623132547.02%1867126020016181076529
1774200100211923110010089-1431000001310392137580010650149596029118949519218316.67%160100.00%29819650.00%11923351.07%5510552.38%160107169529145
Total Saison régulière171727101083753952514853831076122762542286344003225263271-818553997015093619817115717492816671596162085519514901180282854611320.70%4918981.87%92783574948.41%2794575348.57%1369276549.51%400627224090127722401114
Séries éliminatoires
1513760000044413624000001920-17520000025214144481125001513151363113116126841711510022238923.68%411368.29%121342450.24%22747947.39%11923251.29%3062113109617286
Total Séries éliminatoires13760000044413624000001920-17520000025214144481125001513151363113116126841711510022238923.68%411368.29%121342450.24%22747947.39%11923251.29%3062113109617286

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
1Par Lindholm1084123211164318.60%120220.25112500012251.67%01.1900
2James Sheppard1374116919113023.33%323117.84011200000042.31%00.9500
3Trevor Carrick1347111182161822.22%2230423.4412370000000%00.7200
4Mikkel Boedker1137108268387.89%120718.84112200001029.55%00.9700
5Simon Benoit13010101121711260%1831324.11033110001000%00.6400

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
1Andrey Makarov74300.9172.68426001922800000
2Dustin Tokarski63210.8843.65362002218900000