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Connexion

Crunch
GP: 12 | W: 5 | L: 7 | OTL: 0 | P: 10
GF: 42 | GA: 39 | PP%: 36.67% | PK%: 81.48%
DG: Guillaume Cazes | Morale : 48 | Moyenne d’équipe : 63
Prochains matchs #226 vs Barracuda

Centre de jeu
Crunch
5-7-0, 10pts
2
4 Islanders
9-3-2, 20pts
Team Stats
W1SéquenceL1
4-3-0Fiche domicile5-1-1
1-4-0Fiche domicile4-2-1
5-5-0Derniers 10 matchs6-2-2
3.50Buts par match 3.71
3.25Buts contre par match 3.21
36.67%Pourcentage en avantage numérique24.32%
81.48%Pourcentage en désavantage numérique75.61%
Bears
7-5-1, 15pts
1
4 Crunch
5-7-0, 10pts
Team Stats
L1SéquenceW1
5-1-0Fiche domicile4-3-0
2-4-1Fiche domicile1-4-0
5-4-1Derniers 10 matchs5-5-0
3.08Buts par match 3.50
3.23Buts contre par match 3.25
20.69%Pourcentage en avantage numérique36.67%
72.41%Pourcentage en désavantage numérique81.48%
Crunch
5-7-0, 10pts
2025-09-23
Barracuda
4-8-2, 10pts
Statistiques d’équipe
W1SéquenceL2
4-3-0Fiche domicile1-5-1
1-4-0Fiche visiteur3-3-1
5-5-010 derniers matchs4-4-2
3.50Buts par match 3.14
3.25Buts contre par match 3.14
36.67%Pourcentage en avantage numérique31.91%
81.48%Pourcentage en désavantage numérique80.00%
Crunch
5-7-0, 10pts
2025-09-25
Wolf Pack
6-8-0, 12pts
Statistiques d’équipe
W1SéquenceOTW1
4-3-0Fiche domicile3-3-0
1-4-0Fiche visiteur3-5-0
5-5-010 derniers matchs3-7-0
3.50Buts par match 2.14
3.25Buts contre par match 2.14
36.67%Pourcentage en avantage numérique8.51%
81.48%Pourcentage en désavantage numérique72.73%
Comets
4-10-1, 9pts
2025-09-26
Crunch
5-7-0, 10pts
Statistiques d’équipe
W1SéquenceW1
4-3-0Fiche domicile4-3-0
0-7-1Fiche visiteur1-4-0
3-7-010 derniers matchs5-5-0
2.33Buts par match 3.50
4.27Buts contre par match 3.50
23.91%Pourcentage en avantage numérique36.67%
64.10%Pourcentage en désavantage numérique81.48%
Meneurs d'équipe
Buts
Elmer Soderblom
5
Passes
Chris Wagner
7
Points
Chris Wagner
10
Plus/Moins
Matthew Highmore
4
Victoires
Nikita Serebryakov
5
Pourcentage d’arrêts
Nikita Serebryakov
0.907

Statistiques d’équipe
Buts pour
42
3.50 GFG
Tirs pour
388
32.33 Avg
Pourcentage en avantage numérique
36.7%
11 GF
Début de zone offensive
39.8%
Buts contre
39
3.25 GAA
Tirs contre
343
28.58 Avg
Pourcentage en désavantage numérique
81.5%%
5 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralGuillaume Cazes
EntraîneurMichel Therrien
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineAntoine Morand
Assistant #1Declan Carlile
Assistant #2Rafael Harvey-pinard


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 56
Espoirs28


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
1Elmer Soderblom (R)85X100.007150897879728472507072716655457049660251900,000$
2Valentin Zykov0XX100.0058459571767178716669686864655042516503121,250,000$
3Antoine Morand (C)0X100.0061449572687675687571686859544854516402731,000,000$
4Matthew Highmore0X100.0062459471707184697067676665745242516403031,000,000$
5Chris Wagner0X100.0067459770727270697566656863775622516403531,000,000$
6Brendan Leipsic0XX100.0058459971677674706166677062685234516403221,000,000$
7Ryan Carpenter0XX100.0063459370716777697965677064765622516403521,200,000$
8Logan Shaw20XX100.0060449669757776695865676962684930516303321,100,000$
9Mackenzie MacEachern0XX100.0057439670727472696268666864625134406303221,100,000$
10Maxim Shalunov0XX99.005945987074747170596868686548463051630332950,000$
11Ryan Macinnis0X100.006048977173717370666966686460454251630303850,000$
12Tommy Miller0X100.0067458772697274674566677356554858516402731,000,000$
13Fredrik Claesson0X100.0067499269727285694568656962704830516403321,200,000$
14Nikita Nesterov0X100.006248966971706968456764686263523051630333900,000$
15Emil Djuse0X99.005544987069696968456566686347453440620322900,000$
16Niklas Hansson49X100.006045947170697070456570696553463851620312900,000$
17Thomas Schemitsch0X100.006246927073717463456664685458475051620291900,000$
Rayé
1Rafael Harvey-pinard (A)0X83.6567469573677583706171648162624754406502721,500,000$
2Patrick Russell0XX100.0066459270717380696067667163614630386303321,100,000$
3Jordan Schroeder0X100.005544996966706867646764696065502238620352950,000$
4Marian Studenic40XX100.006245977171696768616664686250465438620273800,000$
5Grant Slukynsky0X100.005645927271697063706464616047456638610242750,000$
6Aleksandr Kisakov0XX100.006745887367684966616164655446457038600232750,000$
7Adam Mascherin0XX100.006546847269696961646161605852465438600282700,000$
8Griffin Luce0X100.007850777273706358456154705749485438610281700,000$
9Nick Wolff0X100.008062697275696264456563655547455038610301800,000$
10Luke Green0X100.006646917068686456455961665746455038590282500,000$
11Jeremy Roy0X100.006546847068685656456457635746455038590291700,000$
MOYENNE D’ÉQUIPE99.32634692717171726758666568615848434563
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
1Thomas(Chase) Perry0100.00807770807875797676787253545049630303900,000$
2Nikita Serebryakov099.00808076737973807576787546524254620302850,000$
Rayé
1Veini Vehvilainen0100.00838476748171827273797647524644620292850,000$
2Timo Pielmeier0100.00767877747672787576787745501844610371650,000$
MOYENNE D’ÉQUIPE99.7580807575797380757578754852394862
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien73838894999932CAN642100,000$


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
1Dominic ToninatoLightningLW/RW11491338017142882414.29%318416.791344210000180166.67%3600001.4100000100
2Chris WagnerCrunch (TB )C123710-4609152271613.64%019316.12246222000001050.83%24000001.0300000000
3Elmer SoderblomCrunch (TB )RW12538-17522184191912.20%219616.33303922000041052.38%2100000.8200001021
4Matthew HighmoreCrunch (TB )C125384003162281222.73%215613.0000000000001047.18%19500001.0300000001
5Niklas HanssonCrunch (TB )D12268-6205151431214.29%1423519.67123723000019000%000000.6800000000
6Valentin ZykovCrunch (TB )LW/RW12167-40047387262.63%821618.061456220001200056.41%3900000.6500000000
7Tommy MillerCrunch (TB )D122571408121131318.18%1427923.31033222000020000%000000.5000000000
8Antoine MorandCrunch (TB )C12257-1007142411188.33%119416.24011422000010046.99%24900000.7200000000
9Fredrik ClaessonCrunch (TB )D12437-680165104540.00%923419.50112323000016000%000000.6000000000
10Thomas SchemitschCrunch (TB )D121672601011105510.00%1320917.470000000009000%000000.6700000010
11Rafael Harvey-pinardCrunch (TB )LW120550001013439200%320116.790006210002210026.32%1900000.5000000000
12Declan CarlileLightningD8235380810112818.18%1018423.10213415000013000%000000.5400000000
13Maxim ShalunovCrunch (TB )LW/RW12235-20067196910.53%014011.7000000000000042.86%700000.7100000021
14Ryan MacinnisCrunch (TB )C12325-200914163918.75%113010.8700000000001046.58%14600010.7700000100
15Brendan LeipsicCrunch (TB )LW/RW1214542028187175.56%115713.1201111000001047.06%1700000.6300000001
16Ryan CarpenterCrunch (TB )LW/RW12404-420893041713.33%419216.02000000002190069.23%1300000.4200000010
17Nikita NesterovCrunch (TB )D120332206710240%920216.840000000001000%000000.3000000000
18Emil DjuseCrunch (TB )D1022100000000%12222.970110100000000%000001.7400000001
19Logan ShawCrunch (TB )LW/RW12101-24084165106.25%313311.1100000000000022.22%900000.1500000100
20Jett WooLightningD3000-320942230%56923.280000500003000%00000000000000
21Mackenzie MacEachernCrunch (TB )LW/RW1000000203040%01616.720000100000000%00000000000000
Statistiques d’équipe totales ou en moyenne2164275117-1561516920338810525110.82%103355216.451121324822900051725148.74%99100010.6600001365
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
1Nikita SerebryakovCrunch (TB )85200.9072.5143001181930000075100
2Thomas(Chase) PerryCrunch (TB )50500.8604.3928700211500000057000
Statistiques d’équipe totales ou en moyenne135700.8863.26717013934300001212100


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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/RW281998-06-06CANNo205 Lbs5 ft10NoNoN/ANoNo22025-05-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Aleksandr KisakovCrunch (TB )LW/RW232002-11-01RUSNo170 Lbs5 ft10NoNoTrade2026-07-06NoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Antoine MorandCrunch (TB )C271999-02-18CANNo184 Lbs5 ft11NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Brendan LeipsicCrunch (TB )LW/RW321994-05-19CANNo171 Lbs5 ft9NoNoFree AgentNoNo22025-07-21FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Chris WagnerCrunch (TB )C351991-05-27USANo195 Lbs6 ft0NoNoFree AgentNoNo32026-07-08FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Elmer SoderblomCrunch (TB )RW252001-07-05SWEYes252 Lbs6 ft8NoNoFree AgentNoNo12026-05-04FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Emil DjuseCrunch (TB )D321993-10-27SWENo185 Lbs5 ft11NoNoFree AgentNoNo22025-08-01FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Fredrik ClaessonCrunch (TB )D331992-11-24SWENo205 Lbs6 ft1NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Grant SlukynskyCrunch (TB )C242002-03-12USANo205 Lbs6 ft1NoNoTrade2026-07-06NoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Griffin LuceCrunch (TB )D281998-03-10USANo216 Lbs6 ft3NoNoTrade2026-07-06NoNo12025-06-12FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Jeremy RoyCrunch (TB )D291997-05-14CANNo187 Lbs6 ft0NoNoTrade2026-02-14NoNo12024-04-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Jordan SchroederCrunch (TB )C351990-09-29USANo174 Lbs5 ft8NoNoFree AgentNoNo22025-08-05FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Logan ShawCrunch (TB )LW/RW331992-10-05CANNo211 Lbs6 ft4NoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Luke GreenCrunch (TB )D281998-01-12CANNo187 Lbs6 ft0NoNoN/ANoNo22025-05-28FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Mackenzie MacEachernCrunch (TB )LW/RW321994-03-09USANo193 Lbs6 ft2NoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Marian StudenicCrunch (TB )LW/RW271998-10-28SVKNo190 Lbs6 ft1NoNoFree AgentNoNo32026-07-22FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Matthew HighmoreCrunch (TB )C301996-02-27CANNo192 Lbs5 ft11NoNoFree AgentNoNo32026-07-17FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Maxim ShalunovCrunch (TB )LW/RW331993-01-31RUSNo202 Lbs6 ft4NoNoFree AgentNoNo22025-08-03FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Nick WolffCrunch (TB )D301996-07-21USANo229 Lbs6 ft6NoNoN/ANoNo12024-04-29FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Nikita NesterovCrunch (TB )D331993-03-28RUSNo198 Lbs5 ft11NoNoFree AgentNoNo32026-07-17FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Nikita SerebryakovCrunch (TB )G301995-11-01RUSNo178 Lbs5 ft11NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Niklas HanssonCrunch (TB )D311995-01-08SWENo181 Lbs6 ft0NoNoFree AgentNoNo22025-08-01FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Patrick RussellCrunch (TB )LW/RW331993-01-04DENNo196 Lbs6 ft0NoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Rafael Harvey-pinard (sur la masse salariale)Crunch (TB )LW271999-01-06CANNo184 Lbs5 ft9NoNoTrade2025-05-22NoNo22025-05-28FalseFalsePro & Farm1,500,000$0$0$Yes1,500,000$--------1,500,000$--------No--------Lien
Ryan CarpenterCrunch (TB )LW/RW351991-01-18USANo200 Lbs6 ft1NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Ryan MacinnisCrunch (TB )C301996-02-14USANo200 Lbs6 ft3NoNoFree AgentNoNo32026-07-17FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Thomas SchemitschCrunch (TB )D291996-10-26CANNo201 Lbs6 ft5NoNoN/ANoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Thomas(Chase) PerryCrunch (TB )G301996-02-08USANo189 Lbs6 ft3NoNoFree AgentNoNo32026-07-13FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Timo PielmeierCrunch (TB )G371989-07-07GERNo176 Lbs6 ft0NoNoFree AgentNoNo12026-07-22FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Tommy MillerCrunch (TB )D271999-03-06USANo181 Lbs6 ft2NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Valentin ZykovCrunch (TB )LW/RW311995-05-15RUSNo233 Lbs6 ft0NoNoFree AgentNoNo22025-07-21FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien
Veini VehvilainenCrunch (TB )G291997-03-13FINNo189 Lbs5 ft11NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3230.19196 Lbs6 ft12.06926,563$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Antoine MorandElmer Soderblom28104
2Ryan CarpenterChris WagnerValentin Zykov27104
3Brendan LeipsicMatthew HighmoreMackenzie MacEachern25104
4Logan ShawRyan MacinnisMaxim Shalunov20104
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil DjuseTommy Miller25122
2Fredrik ClaessonNiklas Hansson25122
3Nikita NesterovThomas Schemitsch25122
4Emil DjuseTommy Miller25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Antoine MorandElmer Soderblom50122
2Mackenzie MacEachernChris WagnerValentin Zykov50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil DjuseTommy Miller50122
2Fredrik ClaessonNiklas Hansson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Antoine Morand50122
2Valentin ZykovRyan Carpenter50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil DjuseTommy Miller50122
2Fredrik ClaessonNiklas Hansson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Antoine Morand50122Emil DjuseTommy Miller50122
250122Fredrik ClaessonNiklas Hansson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Antoine Morand50122
2Valentin ZykovRyan Carpenter50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil DjuseTommy Miller50122
2Fredrik ClaessonNiklas Hansson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernAntoine MorandValentin ZykovEmil DjuseTommy Miller
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernAntoine MorandValentin ZykovEmil DjuseTommy Miller
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Elmer Soderblom, Maxim Shalunov, Brendan Leipsic, Maxim ShalunovElmer Soderblom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Nesterov, Thomas Schemitsch, Fredrik ClaessonNikita NesterovThomas Schemitsch, Fredrik Claesson
Tirs de pénalité
Mackenzie MacEachern, , Valentin Zykov, Ryan Carpenter, Antoine Morand
Gardien
#1 : Nikita Serebryakov, #2 : Thomas(Chase) Perry


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
1Bears11000000413110000004130000000000021.00048120012151502511814212802594142150.00%20100.00%018439446.70%19838950.90%10120848.56%2701852898815979
2Checkers1010000026-41010000026-40000000000000.000235001215150361181421280299219000%10100.00%018439446.70%19838950.90%10120848.56%2701852898815979
3Firebirds11000000514110000005140000000000021.00059140012151503811814212801824172150.00%10100.00%018439446.70%19838950.90%10120848.56%2701852898815979
4Islanders1010000024-2000000000001010000024-200.0002460012151502611814212803165156233.33%000%018439446.70%19838950.90%10120848.56%2701852898815979
5Marlies1010000045-1000000000001010000045-100.00047110012151503111814212803164114250.00%2150.00%018439446.70%19838950.90%10120848.56%2701852898815979
6Moose21100000431110000002021010000023-120.5004711011215150621181421280482112293133.33%60100.00%018439446.70%19838950.90%10120848.56%2701852898815979
7Phantoms1010000045-1000000000001010000045-100.00046100012151503611814212802442145240.00%110.00%018439446.70%19838950.90%10120848.56%2701852898815979
8Rocket11000000651000000000001100000065121.00061016001215150321181421280341210182150.00%5260.00%018439446.70%19838950.90%10120848.56%2701852898815979
9SenatorsF11000000624110000006240000000000021.0006121800121515041118142128031114113133.33%20100.00%018439446.70%19838950.90%10120848.56%2701852898815979
10Wolf Pack1010000034-11010000034-10000000000000.000358001215150291181421280381469100.00%3166.67%018439446.70%19838950.90%10120848.56%2701852898815979
11Wranglers1010000023-11010000023-10000000000000.000246001215150321181421280349812200.00%40100.00%018439446.70%19838950.90%10120848.56%2701852898815979
Total125700000423937430000024177514000001822-4100.4174275117011215150388118142128034310361169301136.67%27581.48%018439446.70%19838950.90%10120848.56%2701852898815979
_Since Last GM Reset125700000423937430000024177514000001822-4100.4174275117011215150388118142128034310361169301136.67%27581.48%018439446.70%19838950.90%10120848.56%2701852898815979
_Vs Conference115600000403646420000022148514000001822-4100.455407111101121515035611814212803099453157281139.29%23578.26%018439446.70%19838950.90%10120848.56%2701852898815979

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1210W142751173883431036116901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
125700004239
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74300002417
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51400001822
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
301136.67%27581.48%0
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
11814212801215150
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
18439446.70%19838950.90%10120848.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2701852898815979


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 - 2025-08-263Wolf Pack4Crunch3LSommaire du match
2 - 2025-08-2716Crunch4Phantoms5LSommaire du match
6 - 2025-08-3145Moose0Crunch2WSommaire du match
7 - 2025-09-0163Crunch6Rocket5WSommaire du match
10 - 2025-09-0484Firebirds1Crunch5WSommaire du match
12 - 2025-09-06100Crunch2Moose3LSommaire du match
14 - 2025-09-08117SenatorsF2Crunch6WSommaire du match
16 - 2025-09-10124Crunch4Marlies5LSommaire du match
19 - 2025-09-13150Wranglers3Crunch2LSommaire du match
23 - 2025-09-17178Checkers6Crunch2LSommaire du match
25 - 2025-09-19191Crunch2Islanders4LSommaire du match
27 - 2025-09-21209Bears1Crunch4WSommaire du match
29 - 2025-09-23226Crunch-Barracuda-
31 - 2025-09-25237Crunch-Wolf Pack-
32 - 2025-09-26249Comets-Crunch-
36 - 2025-09-30274Rocket-Crunch-
38 - 2025-10-02284Crunch-PenguinsF-
41 - 2025-10-05305Islanders-Crunch-
44 - 2025-10-08328Crunch-StarsF-
46 - 2025-10-10338Firebirds-Crunch-
48 - 2025-10-12355Crunch-Barracuda-
50 - 2025-10-14369Admirals-Crunch-
54 - 2025-10-18401BruinsF-Crunch-
56 - 2025-10-20415Crunch-PenguinsF-
58 - 2025-10-22431Crunch-Wolf Pack-
59 - 2025-10-23437Checkers-Crunch-
62 - 2025-10-26463Bears-Crunch-
64 - 2025-10-28473Crunch-Marlies-
66 - 2025-10-30489Crunch-Comets-
67 - 2025-10-31500Icehogs-Crunch-
70 - 2025-11-03525Crunch-Moose-
71 - 2025-11-04532Comets-Crunch-
74 - 2025-11-07555Crunch-Comets-
75 - 2025-11-08563Americans-Crunch-
79 - 2025-11-12591Crunch-Rocket-
80 - 2025-11-13596SenatorsF-Crunch-
83 - 2025-11-16623Crunch-Rocket-
84 - 2025-11-17630BruinsF-Crunch-
88 - 2025-11-21657Canucks-Crunch-
90 - 2025-11-23672Crunch-Canucks-
92 - 2025-11-25688Americans-Crunch-
95 - 2025-11-28708Crunch-Bears-
97 - 2025-11-30723Roadrunners-Crunch-
99 - 2025-12-02735Crunch-BruinsF-
102 - 2025-12-05754Wolf Pack-Crunch-
104 - 2025-12-07767Crunch-Bears-
106 - 2025-12-09780Crunch-Thunderbirds-
107 - 2025-12-10791Phantoms-Crunch-
111 - 2025-12-14818Marlies-Crunch-
113 - 2025-12-16834Crunch-Iowa Wild-
115 - 2025-12-18850Wranglers-Crunch-
117 - 2025-12-20865Crunch-Gulls-
119 - 2025-12-22882Marlies-Crunch-
121 - 2025-12-24893Crunch-Iowa Wild-
123 - 2025-12-26913Crunch-Firebirds-
124 - 2025-12-27917Moose-Crunch-
127 - 2025-12-30935Crunch-Wolves-
128 - 2025-12-31948Islanders-Crunch-
130 - 2026-01-02965Crunch-Islanders-
132 - 2026-01-04980Wolves-Crunch-
134 - 2026-01-06989Crunch-Eagles-
137 - 2026-01-091013PenguinsF-Crunch-
140 - 2026-01-121033Crunch-Wolves-
142 - 2026-01-141046Griffins-Crunch-
145 - 2026-01-171074Crunch-Firebirds-
146 - 2026-01-181079Rocket-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-211101Crunch-BruinsF-
150 - 2026-01-221111Wolves-Crunch-
153 - 2026-01-251125Crunch-Condors-
155 - 2026-01-271141Crunch-Reign-
156 - 2026-01-281146Wolf Pack-Crunch-
159 - 2026-01-311173Crunch-Checkers-
160 - 2026-02-011176Silver Knights-Crunch-
161 - 2026-02-021183Crunch-Americans-
163 - 2026-02-041202Crunch-Checkers-
165 - 2026-02-061210PenguinsF-Crunch-
170 - 2026-02-111239Phantoms-Crunch-
171 - 2026-02-121246Crunch-Americans-
172 - 2026-02-131261Monsters-Crunch-
175 - 2026-02-161277Reign-Crunch-
178 - 2026-02-191302Monsters-Crunch-
180 - 2026-02-211313Crunch-Phantoms-
181 - 2026-02-221320Crunch-SenatorsF-
183 - 2026-02-241342Crunch-SenatorsF-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance14,0007,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 3000 - 100.00% 178,800$1,251,600$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
474,021$ 2,815,000$ 2,815,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 459,350$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,258,000$ 157 15,842$ 2,487,194$




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