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Crunch
GP: 43 | W: 16 | L: 23 | OTL: 4 | P: 36
GF: 121 | GA: 142 | PP%: 16.79% | PK%: 84.05%
DG: Sebastien Charron | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #719 vs Phantoms

Centre de jeu
Eagles
20-20-4, 44pts
2
1 Crunch
16-23-4, 36pts
Team Stats
L1SéquenceL3
8-12-1Fiche domicile9-9-3
12-8-3Fiche domicile7-14-1
5-5-0Derniers 10 matchs3-6-1
2.89Buts par match 2.81
2.95Buts contre par match 3.30
18.75%Pourcentage en avantage numérique16.79%
81.43%Pourcentage en désavantage numérique84.05%
Crunch
16-23-4, 36pts
3
4 Phantoms
19-21-3, 41pts
Team Stats
L3SéquenceW1
9-9-3Fiche domicile11-10-2
7-14-1Fiche domicile8-11-1
3-6-1Derniers 10 matchs3-6-1
2.81Buts par match 2.74
3.30Buts contre par match 3.28
16.79%Pourcentage en avantage numérique14.58%
84.05%Pourcentage en désavantage numérique81.22%
Crunch
16-23-4, 36pts
2026-01-12
Phantoms
19-21-3, 41pts
Statistiques d’équipe
L3SéquenceW1
9-9-3Fiche domicile11-10-2
7-14-1Fiche visiteur8-11-1
3-6-110 derniers matchs3-6-1
2.81Buts par match 2.74
3.30Buts contre par match 2.74
16.79%Pourcentage en avantage numérique14.58%
84.05%Pourcentage en désavantage numérique81.22%
Crunch
16-23-4, 36pts
2026-01-13
Penguins
21-15-8, 50pts
Statistiques d’équipe
L3SéquenceSOL1
9-9-3Fiche domicile13-6-3
7-14-1Fiche visiteur8-9-5
3-6-110 derniers matchs4-2-4
2.81Buts par match 3.07
3.30Buts contre par match 3.07
16.79%Pourcentage en avantage numérique25.15%
84.05%Pourcentage en désavantage numérique75.69%
Crunch
16-23-4, 36pts
2026-01-16
Thunderbirds
25-16-5, 55pts
Statistiques d’équipe
L3SéquenceL1
9-9-3Fiche domicile15-8-1
7-14-1Fiche visiteur10-8-4
3-6-110 derniers matchs4-3-3
2.81Buts par match 3.46
3.30Buts contre par match 3.46
16.79%Pourcentage en avantage numérique24.57%
84.05%Pourcentage en désavantage numérique76.47%
Meneurs d'équipe
Charles HudonButs
Charles Hudon
22
Max LajoiePasses
Max Lajoie
31
Charles HudonPoints
Charles Hudon
45
Nicolas Aube-KubelPlus/Moins
Nicolas Aube-Kubel
5
Jiri PateraVictoires
Jiri Patera
16
Jiri PateraPourcentage d’arrêts
Jiri Patera
0.903

Statistiques d’équipe
Buts pour
121
2.81 GFG
Tirs pour
1365
31.74 Avg
Pourcentage en avantage numérique
16.8%
23 GF
Début de zone offensive
40.8%
Buts contre
142
3.30 GAA
Tirs contre
1401
32.58 Avg
Pourcentage en désavantage numérique
84.0%%
26 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généralSebastien Charron
EntraîneurDave Lowry
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,666
Billets de saison3,750


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 70
Espoirs11


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
1Nicolas Aube-KubelXX100.00786285667778806459616263627170040650302925,000$
2Charles HudonXXX100.005939726768958365746862616971730406403231,499,000$
3Fabian LysellX100.00603880676983826462655960676364040630231925,000$
4Xavier ParentXXX100.00623973636287856268616062616466040620251925,000$
5Patrick GilesXX100.00804182579376845955565857596567040620261925,000$
6Lucas CionaXX100.00764466598574835853575655586264040610232999,999$
7Danny KaticX100.00844761579365615558565460536567040600263925,000$
8Gabriel FortierXX100.00563792576680815658555954576567040600264925,000$
9Matthew MaggioXX100.00603887596988835660575854556365040600232925,000$
10Jakub RychlovskyX100.00583790566769665357545552566465040580253925,000$
11Keean WashkurakX100.00584072566772855360545552566566040580253925,000$
12Nicholas ZabanehX100.00563790556967655457525350526466040570253925,000$
13Owen LindmarkX100.00643795547360615358525055516466040570253925,000$
14Max LajoieX100.00703884647678846230655463486870040630281925,000$
15Samuel Johannesson (R)X100.00553695616870725830635455476567040600253925,000$
16Aaron NessX100.00583885556763825430565354457580040590361925,000$
17Mikko KokkonenX100.00663886587267815630575355466466040590253925,000$
18Mason MillmanX100.00633888577264725630565458466466040590252999,999$
19Montana OnyebuchiX100.00756150568467815530545357456567040590264925,000$
Rayé
1Gage QuinneyXX100.00633695627284765970665760587072040630311925,000$
2Mitchell StephensX100.006638896275788558786059675668700406302911,499,999$
3Jaydon Dureau (R)X100.00583690566772625457535251566466040570253925,000$
MOYENNE D’ÉQUIPE100.0065418259737477575358565755666804060
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
1Jiri Patera100.0074787486737274737274736675040660271925,000$
2Jack LaFontaine100.0070716781696870696870696777040630283925,000$
Rayé
1Eetu Makiniemi100.0069757177686769686769686675040630273925,000$
MOYENNE D’ÉQUIPE100.007175718170697170697170667604064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Lowry66706771908456CAN60215,000,000$


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
1Charles HudonCrunch (TBL)C/LW/RW43222345-11180801161985814211.11%21113126.303694212001191794053.27%10700000.8013000231
2Max LajoieCrunch (TBL)D4373138-1526095718728658.05%67104324.266410501200223139100%000000.7300000142
3Xavier ParentCrunch (TBL)C/LW/RW4310182808054127150581226.67%1295122.143472811010191851050.11%45300000.5901000302
4Lucas CionaCrunch (TBL)LW/RW43121123-730013557112297110.71%574817.41134111190003622052.82%24800010.6100000121
5Gage QuinneyCrunch (TBL)LW/RW2571421-164026378422448.33%758423.370559640002450148.51%13400000.7212000210
6Mitchell StephensCrunch (TBL)C255162152018678320546.02%650120.0715612561015510057.44%57800000.8401000110
7Patrick GilesCrunch (TBL)LW/RW431181913401094989268012.36%379818.57134151070001251140.98%12200000.4823000111
8Samuel JohannessonCrunch (TBL)D4321618-21605347579283.51%5890921.14257331070000127000%000000.4000000000
9Gabriel FortierCrunch (TBL)LW/RW4371017-7602428624658.14%758313.5600001000001260.53%3800000.5800000002
10Matthew MaggioCrunch (TBL)LW/RW437916-816041947415419.46%980018.6100000000000148.25%94100000.4000000113
11Nicolas Aube-KubelCrunch (TBL)C/RW1878155335533464145110.94%534719.31123952000001050.00%2400000.8601010110
12Keean WashkurakCrunch (TBL)C4351015-714030735919528.47%258213.5400000000010144.03%67000000.5200000020
13Montana OnyebuchiCrunch (TBL)D433111407820135252382013.04%5060013.960001700002100%000000.4700102101
14Fabian LysellCrunch (TBL)RW204913-42010445620457.14%131615.830331055000010046.58%39500000.8201000011
15Mikko KokkonenCrunch (TBL)D4339122120273230111310.00%4269116.0900002000089200%000000.3500000012
16Mason MillmanCrunch (TBL)D43561114001003243123411.63%5988720.65303161060001114000%000000.2500000001
17Hunter DrewLightningD25358-173609220327169.38%3352521.002351366000075100%000000.3000000000
18Aaron NessCrunch (TBL)D4307711002113196120%2051812.05011755000036000%000000.2700000000
19Danny KaticCrunch (TBL)LW411011201391311.11%2531.31000350001201054.55%1100000.3700000001
20Jakub RychlovskyCrunch (TBL)LW43000100027220%0551.2900007000020060.00%100000000000000
21Jaydon DureauCrunch (TBL)LW14000000000000%000.030000000000000%00000000000000
22Nicholas ZabanehCrunch (TBL)C18000000012020%0110.6500000000080080.00%50000000000000
23Owen LindmarkCrunch (TBL)C18000000001000%010.080000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne806121221342-7738725108298613653899628.86%4091264315.69234467259116523534117116649.41%373600010.54412112141818
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
1Jiri PateraCrunch (TBL)43162340.9033.1325282113213550110.41712430412
2Jack LaFontaineCrunch (TBL)20000.8675.14700064500000043000
Statistiques d’équipe totales ou en moyenne45162340.9013.192598211381400011124343412


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
Aaron NessCrunch (TBL)D361990-05-18USANo184 Lbs178 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Charles HudonCrunch (TBL)C/LW/RW321994-06-23CANNo190 Lbs178 CMNoNoTrade2024-07-22YesYes3FalseFalsePro & Farm1,499,000$0$0$No1,499,000$1,499,000$-------1,499,000$1,499,000$-------NoNo-------Lien / Lien NHL
Danny KaticCrunch (TBL)LW262000-08-04CANNo220 Lbs196 CMNoNoFree AgentNoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Eetu MakiniemiCrunch (TBL)G271999-04-19FINNo184 Lbs188 CMNoNoFree AgentNoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Fabian LysellCrunch (TBL)RW232003-01-19SWENo181 Lbs180 CMNoNoTrade2025-01-25NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Gabriel FortierCrunch (TBL)LW/RW262000-02-06CANNo177 Lbs178 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Gage QuinneyCrunch (TBL)LW/RW311995-07-29USANo200 Lbs180 CMNoNoTrade2025-07-29YesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jack LaFontaineCrunch (TBL)G281998-01-06CANNo204 Lbs188 CMNoNoFree AgentYesYes32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jakub RychlovskyCrunch (TBL)LW252001-08-07CZENo181 Lbs178 CMNoNoFree AgentNoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jaydon DureauCrunch (TBL)LW252001-01-20CANYes173 Lbs180 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Jiri PateraCrunch (TBL)G271999-02-24CZENo212 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Keean WashkurakCrunch (TBL)C252001-08-16CANNo184 Lbs178 CMNoNoFree Agent2024-09-18NoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Lucas CionaCrunch (TBL)LW/RW232003-01-08CANNo210 Lbs191 CMNoNoAssign ManuallyNoNo22024-07-22FalseFalsePro & Farm999,999$0$0$No999,999$--------999,999$--------No--------Lien / Lien NHL
Mason MillmanCrunch (TBL)D252001-07-18CANNo175 Lbs185 CMNoNoAssign ManuallyNoNo22024-07-22FalseFalsePro & Farm999,999$0$0$No999,999$--------999,999$--------No--------Lien / Lien NHL
Matthew MaggioCrunch (TBL)LW/RW232002-11-25CANNo185 Lbs180 CMNoNoTrade2024-07-22NoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Max LajoieCrunch (TBL)D281997-11-05CANNo191 Lbs185 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Mikko KokkonenCrunch (TBL)D252001-01-18FINNo198 Lbs180 CMNoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Mitchell StephensCrunch (TBL)C291997-02-05CANNo203 Lbs183 CMNoNoTrade2025-07-29YesYes1FalseFalsePro & Farm1,499,999$0$0$No---------------------------Lien / Lien NHL
Montana OnyebuchiCrunch (TBL)D262000-03-08CANNo201 Lbs191 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Nicholas ZabanehCrunch (TBL)C252001-03-27CANNo185 Lbs180 CMNoNoFree AgentNoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nicolas Aube-KubelCrunch (TBL)C/RW301996-05-10CANNo213 Lbs183 CMNoNoTrade2024-07-10YesYes22024-07-09FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Owen LindmarkCrunch (TBL)C252001-05-17USANo192 Lbs183 CMNoNoFree AgentNoNo32025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Patrick GilesCrunch (TBL)LW/RW262000-01-03USANo218 Lbs196 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Samuel JohannessonCrunch (TBL)D252000-12-27SWEYes176 Lbs180 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Xavier ParentCrunch (TBL)C/LW/RW252001-03-23CANNo170 Lbs173 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.64192 Lbs183 CM2.28976,960$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles HudonMatthew MaggioNicolas Aube-Kubel40122
2Xavier ParentFabian LysellPatrick Giles30122
3Lucas CionaKeean WashkurakGabriel Fortier20122
4Matthew MaggioPatrick GilesCharles Hudon10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Max LajoieAaron Ness40122
2Samuel JohannessonMason Millman30122
3Montana OnyebuchiMikko Kokkonen20122
4Aaron NessMax Lajoie10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles HudonLucas CionaNicolas Aube-Kubel60122
2Xavier ParentFabian LysellPatrick Giles40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Max LajoieAaron Ness60122
2Samuel JohannessonMason Millman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Xavier ParentCharles Hudon60122
2Patrick GilesLucas Ciona40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Max LajoieMikko Kokkonen60122
2Samuel JohannessonMason Millman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Xavier Parent60122Max LajoieMontana Onyebuchi60122
2Charles Hudon40122Samuel JohannessonMason Millman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Xavier ParentCharles Hudon60122
2Lucas CionaPatrick Giles40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Max LajoieAaron Ness60122
2Samuel JohannessonMason Millman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles HudonNicolas Aube-KubelFabian LysellMax LajoieSamuel Johannesson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles HudonNicolas Aube-KubelFabian LysellMax LajoieSamuel Johannesson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Charles Hudon, Jakub Rychlovsky, Lucas CionaCharles Hudon, Jakub RychlovskyLucas Ciona
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Montana Onyebuchi, Mikko Kokkonen, Aaron NessMontana OnyebuchiMikko Kokkonen, Aaron Ness
Tirs de pénalité
Patrick Giles, Charles Hudon, Nicolas Aube-Kubel, Fabian Lysell, Xavier Parent
Gardien
#1 : Jiri Patera, #2 : Jack LaFontaine


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
1Admirals1010000034-1000000000001010000034-100.000358004046345274244584742134144213266.67%20100.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
2Barracuda1010000024-2000000000001010000024-200.000246004046345344244584742131131425200.00%7271.43%0772151550.96%751152949.12%32367148.14%10016851054316546266
3Bears3030000069-31010000012-12020000057-200.00061016004046345924244584742188352083900.00%100100.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
4Bruins1010000026-4000000000001010000026-400.00024600404634528424458474213581721100.00%6350.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
5Canucks1010000015-41010000015-40000000000000.00012300404634526424458474213710425300.00%2150.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
6Checkers320010001266110000004132100100085361.00012223400404634516442445847421542124678337.50%12191.67%0772151550.96%751152949.12%32367148.14%10016851054316546266
7Comets31200000810-22020000069-31100000021120.33381523004046345794244584742110629487511327.27%11190.91%1772151550.96%751152949.12%32367148.14%10016851054316546266
8Condors1000000134-11000000134-10000000000010.5003690040463452442445847421401014234125.00%60100.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
9Eagles211000006421010000012-11100000052320.50061117004046345654244584742174261647600.00%8187.50%0772151550.96%751152949.12%32367148.14%10016851054316546266
10Griffins20200000413-90000000000020200000413-900.00046100040463455342445847421701914516116.67%7185.71%0772151550.96%751152949.12%32367148.14%10016851054316546266
11Gulls2020000036-31010000012-11010000024-200.000358004046345504244584742158211444800.00%7271.43%0772151550.96%751152949.12%32367148.14%10016851054316546266
12Heat11000000312110000003120000000000021.00036900404634531424458474213814429300.00%20100.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
13IceHogs1000010034-11000010034-10000000000010.50036900404634531424458474214254326116.67%20100.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
14Marlies11000000422000000000001100000042221.00046100040463453542445847421399818600.00%40100.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
15Monsters1000000145-1000000000001000000145-110.50047110040463452242445847421431112362150.00%6183.33%0772151550.96%751152949.12%32367148.14%10016851054316546266
16Penguins11000000321110000003210000000000021.00036900404634520424458474212221118400.00%30100.00%1772151550.96%751152949.12%32367148.14%10016851054316546266
17Phantoms21100000945110000006061010000034-120.500915240140463455342445847421722025545120.00%9277.78%0772151550.96%751152949.12%32367148.14%10016851054316546266
18Reign22000000945110000003211100000062441.0009182700404634566424458474214817124811327.27%4250.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
19Roadrunners1010000024-2000000000001010000024-200.00024600404634533424458474213841020400.00%4175.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
20Rocket2020000059-41010000035-21010000024-200.000510150040463457042445847421721620567114.29%7357.14%0772151550.96%751152949.12%32367148.14%10016851054316546266
21Senators11000000431110000004310000000000021.0004711004046345324244584742128131023200.00%5180.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
22Silver Knights2110000078-1110000006421010000014-320.500713200040463455742445847421772522662150.00%11190.91%0772151550.96%751152949.12%32367148.14%10016851054316546266
23Sound Tigers30300000414-101010000014-320200000310-700.000471100404634592424458474211162528811119.09%12283.33%0772151550.96%751152949.12%32367148.14%10016851054316546266
24Stars11000000514110000005140000000000021.000591400404634530424458474212798264250.00%40100.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
25Thunderbirds1010000035-21010000035-20000000000000.00036910404634550424458474212478205120.00%3166.67%0772151550.96%751152949.12%32367148.14%10016851054316546266
26Wolf Pack22000000422110000002111100000021141.00048120040463456342445847421561916494125.00%80100.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
27Wolves1000000123-11000000123-10000000000010.5002350040463453842445847421327224000%10100.00%0772151550.96%751152949.12%32367148.14%10016851054316546266
Total43152301103121142-212199001026160122614010016082-22360.419121221342114046345136542445847421140140938910821372316.79%1632684.05%2772151550.96%751152949.12%32367148.14%10016851054316546266
_Since Last GM Reset43152301103121142-212199001026160122614010016082-22360.419121221342114046345136542445847421140140938910821372316.79%1632684.05%2772151550.96%751152949.12%32367148.14%10016851054316546266
_Vs Conference26914010027188-17115500001323021549010013958-19220.4237112619701404634584142445847421833234255656761215.79%1011585.15%2772151550.96%751152949.12%32367148.14%10016851054316546266
_Vs Division1045010003139-8321000001192724010002030-10100.50031558600404634538242445847421298869323630516.67%41978.05%0772151550.96%751152949.12%32367148.14%10016851054316546266

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4336L312122134213651401409389108211
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4315231103121142
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
219901026160
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2261410016082
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1372316.79%1632684.05%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
424458474214046345
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
772151550.96%751152949.12%32367148.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10016851054316546266


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
3 - 2025-10-0911Senators3Crunch4WSommaire du match
5 - 2025-10-1126Comets3Crunch2LSommaire du match
7 - 2025-10-1340Crunch2Bruins6LSommaire du match
8 - 2025-10-1452Crunch3Bears4LSommaire du match
11 - 2025-10-1772Crunch1Griffins6LSommaire du match
12 - 2025-10-1882Crunch4Monsters5LXXSommaire du match
17 - 2025-10-23113IceHogs4Crunch3LXSommaire du match
19 - 2025-10-25129Gulls2Crunch1LSommaire du match
20 - 2025-10-26141Silver Knights4Crunch6WSommaire du match
22 - 2025-10-28156Crunch3Admirals4LSommaire du match
24 - 2025-10-30169Stars1Crunch5WSommaire du match
27 - 2025-11-02194Crunch2Roadrunners4LSommaire du match
29 - 2025-11-04209Crunch5Eagles2WSommaire du match
31 - 2025-11-06225Crunch1Silver Knights4LSommaire du match
33 - 2025-11-08236Bears2Crunch1LSommaire du match
37 - 2025-11-12265Wolf Pack1Crunch2WSommaire du match
40 - 2025-11-15283Crunch4Checkers3WXSommaire du match
41 - 2025-11-16297Canucks5Crunch1LSommaire du match
43 - 2025-11-18309Comets6Crunch4LSommaire du match
45 - 2025-11-20322Condors4Crunch3LXXSommaire du match
47 - 2025-11-22341Crunch2Bears3LSommaire du match
49 - 2025-11-24353Phantoms0Crunch6WSommaire du match
51 - 2025-11-26362Heat1Crunch3WSommaire du match
53 - 2025-11-28377Crunch3Griffins7LSommaire du match
54 - 2025-11-29391Crunch2Wolf Pack1WSommaire du match
57 - 2025-12-02414Crunch3Sound Tigers7LSommaire du match
59 - 2025-12-04428Penguins2Crunch3WSommaire du match
61 - 2025-12-06446Sound Tigers4Crunch1LSommaire du match
63 - 2025-12-08461Crunch4Marlies2WSommaire du match
64 - 2025-12-09466Crunch2Rocket4LSommaire du match
66 - 2025-12-11481Crunch2Comets1WSommaire du match
68 - 2025-12-13498Crunch0Sound Tigers3LSommaire du match
70 - 2025-12-15514Checkers1Crunch4WSommaire du match
73 - 2025-12-18538Reign2Crunch3WSommaire du match
75 - 2025-12-20557Wolves3Crunch2LXXSommaire du match
77 - 2025-12-22571Thunderbirds5Crunch3LSommaire du match
82 - 2025-12-27591Crunch4Checkers2WSommaire du match
83 - 2025-12-28602Rocket5Crunch3LSommaire du match
86 - 2025-12-31624Crunch2Gulls4LSommaire du match
87 - 2026-01-01639Crunch6Reign2WSommaire du match
89 - 2026-01-03649Crunch2Barracuda4LSommaire du match
92 - 2026-01-06668Eagles2Crunch1LSommaire du match
96 - 2026-01-10705Crunch3Phantoms4LSommaire du match
98 - 2026-01-12719Crunch-Phantoms-
99 - 2026-01-13726Crunch-Penguins-
102 - 2026-01-16751Crunch-Thunderbirds-
104 - 2026-01-18767Crunch-Stars-
106 - 2026-01-20781Barracuda-Crunch-
109 - 2026-01-23803Crunch-IceHogs-
110 - 2026-01-24814Crunch-Monsters-
112 - 2026-01-26825Roadrunners-Crunch-
115 - 2026-01-29847Moose-Crunch-
118 - 2026-02-01873Bruins-Crunch-
120 - 2026-02-03886Americans-Crunch-
122 - 2026-02-05904Checkers-Crunch-
142 - 2026-02-25912Marlies-Crunch-
143 - 2026-02-26923Crunch-Wolves-
145 - 2026-02-28941Americans-Crunch-
148 - 2026-03-03967Crunch-Wild-
150 - 2026-03-05980Crunch-Moose-
152 - 2026-03-07994Crunch-Marlies-
153 - 2026-03-081003Crunch-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101015Monsters-Crunch-
157 - 2026-03-121030Griffins-Crunch-
159 - 2026-03-141049Wolves-Crunch-
162 - 2026-03-171076Crunch-Firebirds-
164 - 2026-03-191090Crunch-Canucks-
166 - 2026-03-211109Crunch-Condors-
167 - 2026-03-221116Crunch-Heat-
169 - 2026-03-241127Wild-Crunch-
171 - 2026-03-261139Firebirds-Crunch-
173 - 2026-03-281152Senators-Crunch-
174 - 2026-03-291168Admirals-Crunch-
176 - 2026-03-311180Rocket-Crunch-
178 - 2026-04-021192Penguins-Crunch-
180 - 2026-04-041210Bruins-Crunch-
182 - 2026-04-061229Crunch-Americans-
183 - 2026-04-071234Crunch-Senators-
185 - 2026-04-091248Crunch-Rocket-
187 - 2026-04-111261Crunch-Bruins-
189 - 2026-04-131282Griffins-Crunch-
191 - 2026-04-151302Wolf Pack-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance58,77539,208
Assistance PCT93.29%93.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
20 4666 - 93.32% 143,045$3,003,945$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
8,714,038$ 2,442,400$ 2,442,400$ 15,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,175,172$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,860,900$ 96 90,375$ 8,676,000$




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