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Connexion

Crunch
GP: 10 | W: 2 | L: 7 | OTL: 1 | P: 5
GF: 46 | GA: 62 | PP%: 27.59% | PK%: 75.00%
DG: Joel Pelletier | Morale : 50 | Moyenne d’équipe : 54
Prochains matchs #167 vs Bruins

Centre de jeu
Crunch
2-7-1, 5pts
4
FINAL
12 Marlies
7-2-1, 15pts
Team Stats
L3SéquenceW4
1-5-1Fiche domicile5-2-1
1-2-0Fiche domicile2-0-0
2-7-1Derniers 10 matchs7-2-1
4.60Buts par match 6.10
6.20Buts contre par match 4.80
27.59%Pourcentage en avantage numérique23.33%
75.00%Pourcentage en désavantage numérique65.38%
Monsters
5-4-0, 10pts
9
FINAL
5 Crunch
2-7-1, 5pts
Team Stats
W1SéquenceL3
2-2-0Fiche domicile1-5-1
3-2-0Fiche domicile1-2-0
5-4-0Derniers 10 matchs2-7-1
4.67Buts par match 4.60
3.56Buts contre par match 6.20
25.93%Pourcentage en avantage numérique27.59%
84.21%Pourcentage en désavantage numérique75.00%
Crunch
2-7-1, 5pts
2025-10-30
Bruins
7-5-0, 14pts
Statistiques d’équipe
L3SéquenceL2
1-5-1Fiche domicile4-3-0
1-2-0Fiche visiteur3-2-0
2-7-110 derniers matchs6-4-0
4.60Buts par match 4.00
6.20Buts contre par match 4.00
27.59%Pourcentage en avantage numérique37.50%
75.00%Pourcentage en désavantage numérique64.29%
Bears
5-5-0, 10pts
2025-11-01
Crunch
2-7-1, 5pts
Statistiques d’équipe
L2SéquenceL3
2-4-0Fiche domicile1-5-1
3-1-0Fiche visiteur1-2-0
5-5-010 derniers matchs2-7-1
4.40Buts par match 4.60
4.40Buts contre par match 4.60
36.36%Pourcentage en avantage numérique27.59%
65.52%Pourcentage en désavantage numérique75.00%
Roadrunners
4-7-0, 8pts
2025-11-04
Crunch
2-7-1, 5pts
Statistiques d’équipe
W1SéquenceL3
2-2-0Fiche domicile1-5-1
2-5-0Fiche visiteur1-2-0
4-6-010 derniers matchs2-7-1
3.82Buts par match 4.60
6.27Buts contre par match 4.60
27.78%Pourcentage en avantage numérique27.59%
52.08%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
46
4.60 GFG
Tirs pour
240
24.00 Avg
Pourcentage en avantage numérique
27.6%
8 GF
Début de zone offensive
27.2%
Buts contre
62
6.20 GAA
Tirs contre
235
23.50 Avg
Pourcentage en désavantage numérique
75.0%%
8 GA
Début de la zone défensive
26.8%
Informations de l'équipe

Directeur généralJoel Pelletier
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,949
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 50
Espoirs9


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
1Jack Finley (R)X100.00694369627461586160595763605050050600221797,500$
2Oliver Okuliar (R)X100.00615455626264626242615961615250050590243620,000$
3Bogdan Trineyev (R)X100.00664271656664636142545663615150050590222859,167$
4Joel Teasdale (R)X100.00594468616567666142555555595450050580251620,000$
5Oskar Olausson (R)X100.00604271656362606243585656615050050580211894,167$
6Keean Washkurak (R)X100.00584763656265646054535455595150050570233620,000$
7Adam Raska (R)XX100.00575656656164625842535252585150050560231650,000$
8Tanner Dickinson (R)X100.00574172656063615854545353595150050560222826,667$
9Owen Lindmark (R)X100.00594066606160585447545355555150050550233620,000$
10Jack Smith (R)X100.00525554545551515254515154535555050530222625,000$
11Liam Kirk (R)X100.00454450575245404538424249485050050470242620,000$
12Jacob Olofsson (R)X100.00394788587233402846192839355050050400241620,000$
13Tyler Inamoto (R)X100.0060406664646260534051506356545005058N0252620,000$
14Filip Král (R)X100.00534263606061605940575456575250050570243620,000$
15Mason Langenbrunner (R)X100.00525554545551515254515154535555050530222625,000$
16Dmitry Semykin (R)X100.00728293618228273525223062344444050500243620,000$
17Ville Rasanen (R)X100.00374179616340533125282442315858050450252620,000$
Rayé
1Joaquim Lemay (R)X100.00373737373737373737373737373737050380223620,000$
MOYENNE D’ÉQUIPE100.0055476560625454524448485452515005053
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Matt Murray100.00736866656869706870696867600506303011,000,000$
2Jesper Vikman (R)100.0063565668626061576260515150050560221858,000$
Rayé
1Olof Lindbom (R)100.0060555464585556515455485146050520243620,000$
2Jesper Eliasson (R)100.0047494482464657454544455036050470242620,000$
MOYENNE D’ÉQUIPE100.006157557059586155585753554805055
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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 RaskaCrunch (Buf)LW/RW232001-09-25CZEYes179 Lbs5 ft10NoNoFree AgentNoNo12024-09-04FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Bogdan TrineyevCrunch (Buf)RW222002-03-04RUSYes198 Lbs6 ft3NoNoProspectNoNo22024-06-25FalseFalsePro & Farm859,167$0$0$No859,167$--------859,167$--------No--------Lien
Dmitry Semykin (contrat à 1 volet)Crunch (Buf)D242000-02-24RUSYes220 Lbs6 ft3NoNoFree AgentNoYes32025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Filip Král (contrat à 1 volet)Crunch (Buf)D241999-10-20CZEYes198 Lbs6 ft2NoNoFree AgentNoYes32025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Jack FinleyCrunch (Buf)C222002-09-02CANYes220 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm797,500$0$0$No---------------------------Lien
Jack SmithCrunch (Buf)C222002-07-06USAYes183 Lbs0 ft6NoNoProspectNoNo22024-06-25FalseFalsePro & Farm625,000$0$0$No625,000$--------625,000$--------No--------Lien
Jacob Olofsson (contrat à 1 volet)Crunch (Buf)C242000-02-08SWEYes196 Lbs6 ft2NoNoFree AgentNoYes12025-08-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Jesper Eliasson (contrat à 1 volet)Crunch (Buf)G242000-03-21SWEYes209 Lbs6 ft3NoNoFree AgentNoYes22025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Jesper VikmanCrunch (Buf)G222002-03-11SWEYes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm858,000$0$0$No---------------------------Lien
Joaquim LemayCrunch (Buf)D222002-07-02CANYes185 Lbs0 ft6NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Joel Teasdale (contrat à 1 volet)Crunch (Buf)LW251999-03-11CANYes205 Lbs6 ft0NoNoFree AgentYesYes12025-08-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Keean Washkurak (contrat à 1 volet)Crunch (Buf)C232001-08-16CANYes183 Lbs5 ft10NoNoFree AgentNoNo32025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Liam Kirk (contrat à 1 volet)Crunch (Buf)C242000-01-03ENGYes160 Lbs6 ft1NoNoFree AgentNoYes22025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Mason LangenbrunnerCrunch (Buf)D222002-09-14USAYes179 Lbs0 ft6NoNoProspectNoNo22024-06-25FalseFalsePro & Farm625,000$0$0$No625,000$--------625,000$--------No--------Lien
Matt Murray (contrat à 1 volet)Crunch (Buf)G301994-05-25CANNo179 Lbs6 ft4NoNoN/AYesYes1FalseFalsePro & Farm1,000,000$80,000$70,881$No---------------------------Lien
Oliver Okuliar (contrat à 1 volet)Crunch (Buf)LW242000-05-24SLVYes190 Lbs6 ft2NoNoFree AgentNoYes32025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Olof Lindbom (contrat à 1 volet)Crunch (Buf)G242000-07-23SWEYes183 Lbs6 ft2NoNoFree AgentNoYes32025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Oskar OlaussonCrunch (Buf)RW212002-11-10SWEYes181 Lbs6 ft2NoNoTrade2025-02-23NoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------Lien
Owen Lindmark (contrat à 1 volet)Crunch (Buf)C232001-05-17USAYes192 Lbs6 ft0NoNoFree AgentNoNo32025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Tanner DickinsonCrunch (Buf)C222002-03-05USAYes170 Lbs6 ft0NoNoProspectNoNo22024-06-25FalseFalsePro & Farm826,667$0$0$No826,667$--------826,667$--------No--------Lien
Tyler Inamoto (contrat à 1 volet)Crunch (Buf)D251999-05-06USAYes194 Lbs6 ft2YesNoFree AgentYesYes22025-09-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Ville Rasanen (contrat à 1 volet)Crunch (Buf)D251998-10-08FINYes168 Lbs6 ft2NoNoFree AgentYesYes22025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2223.50190 Lbs5 ft52.00690,705$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Bruins11000000642000000000001100000064221.0006121800181513029578597118116126233.33%30100.00%05313638.97%6113445.52%9723042.17%2391611938816875
2Cabaret Lady Mary Ann1010000028-61010000028-60000000000000.00024600181513012578597129669300.00%3166.67%05313638.97%6113445.52%9723042.17%2391611938816875
3Cougars1100000010371100000010370000000000021.00010203000181513030578597118981322100.00%40100.00%15313638.97%6113445.52%9723042.17%2391611938816875
4Marlies20200000918-91010000056-110100000412-800.00091726001815130495785971501743227228.57%4175.00%05313638.97%6113445.52%9723042.17%2391611938816875
5Monsters1010000059-41010000059-40000000000000.000510150018151303457859711381318300.00%4175.00%05313638.97%6113445.52%9723042.17%2391611938816875
6Monsters1010000046-21010000046-20000000000000.0004812001815130235785971266810200.00%4325.00%05313638.97%6113445.52%9723042.17%2391611938816875
7Rocket1010000046-2000000000001010000046-200.000481200181513014578597126101011000%5180.00%05313638.97%6113445.52%9723042.17%2391611938816875
8Senators1000010023-11000010023-10000000000010.500246001815130295785971268282150.00%10100.00%05313638.97%6113445.52%9723042.17%2391611938816875
9Wolf Pack1010000045-11010000045-10000000000000.0004812001815130205785971296884125.00%4175.00%05313638.97%6113445.52%9723042.17%2391611938816875
Total1027001004662-16715001003240-8312000001422-850.250469113700181513024057859712358110411129827.59%32875.00%15313638.97%6113445.52%9723042.17%2391611938816875
_Since Last GM Reset1027001004662-16715001003240-8312000001422-850.250469113700181513024057859712358110411129827.59%32875.00%15313638.97%6113445.52%9723042.17%2391611938816875
_Vs Conference413000002023-3312000001617-11010000046-220.250204060001815130795785971993132437228.57%16568.75%15313638.97%6113445.52%9723042.17%2391611938816875
_Vs Division1020000046-21010000046-20010000000000.0004812001815130235785971266810200.00%4325.00%05313638.97%6113445.52%9723042.17%2391611938816875

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
105L346911372402358110411100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
102701004662
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
71501003240
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001422
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
29827.59%32875.00%1
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
57859711815130
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
5313638.97%6113445.52%9723042.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2391611938816875


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 - 2025-10-099Wolf Pack5Crunch4LSommaire du match
5 - 2025-10-1124Crunch6Bruins4WSommaire du match
7 - 2025-10-1339Monsters6Crunch4LSommaire du match
9 - 2025-10-1557Senators3Crunch2LXSommaire du match
12 - 2025-10-1876Cabaret Lady Mary Ann8Crunch2LSommaire du match
14 - 2025-10-2095Crunch4Rocket6LSommaire du match
16 - 2025-10-22109Cougars3Crunch10WSommaire du match
18 - 2025-10-24123Marlies6Crunch5LSommaire du match
19 - 2025-10-25132Crunch4Marlies12LSommaire du match
22 - 2025-10-28152Monsters9Crunch5LSommaire du match
24 - 2025-10-30167Crunch-Bruins-
26 - 2025-11-01186Bears-Crunch-
29 - 2025-11-04203Roadrunners-Crunch-
31 - 2025-11-06219Chiefs-Crunch-
33 - 2025-11-08238Crunch-Caroline-
37 - 2025-11-12267Crunch-Roadrunners-
38 - 2025-11-13275Crunch-Monsters-
40 - 2025-11-15287Crunch-Cougars-
42 - 2025-11-17302Oil Kings-Crunch-
44 - 2025-11-19316Heat-Crunch-
46 - 2025-11-21331Baby Hawks-Crunch-
48 - 2025-11-23347Caroline-Crunch-
51 - 2025-11-26366Crunch-Manchots-
53 - 2025-11-28379Spiders-Crunch-
54 - 2025-11-29399Crunch-Minnesota-
56 - 2025-12-01408Oceanics-Crunch-
58 - 2025-12-03423Crunch-Phantoms-
60 - 2025-12-05437Crunch-Oceanics-
63 - 2025-12-08463Crunch-Heat-
64 - 2025-12-09474Crunch-Oil Kings-
66 - 2025-12-11492Crunch-Comets-
69 - 2025-12-14513Crunch-Firebirds-
73 - 2025-12-18535Phantoms-Crunch-
75 - 2025-12-20553Sound Tigers-Crunch-
76 - 2025-12-21565Crunch-Spiders-
78 - 2025-12-23578Crunch-Senators-
82 - 2025-12-27589Bruins-Crunch-
84 - 2025-12-29610Crunch-Chiefs-
86 - 2025-12-31628Crunch-Stars-
89 - 2026-01-03646Crunch-Monsters-
92 - 2026-01-06667Comets-Crunch-
94 - 2026-01-08685Crunch-Wolf Pack-
96 - 2026-01-10701Admirals-Crunch-
98 - 2026-01-12716Cabaret Lady Mary Ann-Crunch-
100 - 2026-01-14736Phantoms-Crunch-
101 - 2026-01-15740Rocket-Crunch-
103 - 2026-01-17754Minnesota-Crunch-
105 - 2026-01-19770Crunch-Caroline-
106 - 2026-01-20784Crunch-Jayhawks-
108 - 2026-01-22795Crunch-Rocket-
110 - 2026-01-24810Crunch-Sound Tigers-
113 - 2026-01-27831Crunch-Marlies-
115 - 2026-01-29844Monarchs-Crunch-
117 - 2026-01-31865Rocket-Crunch-
119 - 2026-02-02876Crunch-Cabaret Lady Mary Ann-
120 - 2026-02-03886Crunch-Thunder-
122 - 2026-02-05903Manchots-Crunch-
142 - 2026-02-25910Crunch-Spiders-
144 - 2026-02-27930Crunch-Cabaret Lady Mary Ann-
145 - 2026-02-28941Crunch-Thunder-
148 - 2026-03-03960Las Vegas-Crunch-
150 - 2026-03-05977Crunch-Manchots-
152 - 2026-03-07992Jayhawks-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-03-081003Thunder-Crunch-
155 - 2026-03-101013Sags-Crunch-
157 - 2026-03-121028Bears-Crunch-
159 - 2026-03-141047Marlies-Crunch-
162 - 2026-03-171075Crunch-Las Vegas-
164 - 2026-03-191092Crunch-Sags-
166 - 2026-03-211102Crunch-Monarchs-
167 - 2026-03-221117Crunch-Admirals-
170 - 2026-03-251135Bruins-Crunch-
172 - 2026-03-271150Cougars-Crunch-
173 - 2026-03-281159Firebirds-Crunch-
176 - 2026-03-311179Sound Tigers-Crunch-
178 - 2026-04-021191Crunch-Senators-
180 - 2026-04-041213Crunch-Bears-
182 - 2026-04-061229Thunder-Crunch-
184 - 2026-04-081244Crunch-Wolf Pack-
185 - 2026-04-091247Monsters-Crunch-
189 - 2026-04-131288Crunch-Baby Hawks-
191 - 2026-04-151301Stars-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance8,8614,780
Assistance PCT63.29%68.29%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-4 1949 - 64.96% 92,340$646,380$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
78,610$ 675,551$ 675,551$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,500$ 78,610$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,139,560$ 171 3,500$ 598,500$




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