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LHSRSM

Connexion

Crunch
GP: 24 | W: 17 | L: 7 | OTL: 0 | P: 34
GF: 102 | GA: 73 | PP%: 27.27% | PK%: 69.05%
DG: JF Gibo | Morale : 50 | Moyenne d’équipe : 63
Prochains matchs #389 vs Rocket
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Centre de jeu
Crunch
17-7-0, 34pts
4
FINAL
3 Bruins
14-7-0, 28pts
Team Stats
L1StreakL1
9-4-0Home Record9-3-0
8-3-0Away Record5-4-0
8-2-0Last 10 Games7-3-0
4.25Goals Per Game3.29
3.04Goals Against Per Game2.38
27.27%Power Play Percentage29.41%
69.05%Penalty Kill Percentage81.48%
Crunch
17-7-0, 34pts
2
FINAL
4 Phantoms
20-2-1, 41pts
Team Stats
L1StreakW7
9-4-0Home Record9-2-1
8-3-0Away Record11-0-0
8-2-0Last 10 Games8-1-1
4.25Goals Per Game4.78
3.04Goals Against Per Game1.91
27.27%Power Play Percentage25.45%
69.05%Penalty Kill Percentage91.67%
Crunch
17-7-0, 34pts
2021-12-07
Rocket
16-8-2, 34pts
Statistiques d’équipe
L1SéquenceL1
9-4-0Fiche domicile9-3-1
8-3-0Fiche visiteur7-5-1
8-2-010 derniers matchs7-3-0
4.25Buts par match 3.35
3.04Buts contre par match 2.77
27.27%Pourcentage en avantage numérique24.14%
69.05%Pourcentage en désavantage numérique78.79%
Crunch
17-7-0, 34pts
2021-12-09
Marlies
10-15-1, 21pts
Statistiques d’équipe
L1SéquenceSOW1
9-4-0Fiche domicile7-6-1
8-3-0Fiche visiteur3-9-0
8-2-010 derniers matchs6-4-0
4.25Buts par match 3.04
3.04Buts contre par match 3.58
27.27%Pourcentage en avantage numérique15.87%
69.05%Pourcentage en désavantage numérique65.45%
Crunch
17-7-0, 34pts
2021-12-11
Senators
16-6-3, 35pts
Statistiques d’équipe
L1SéquenceW3
9-4-0Fiche domicile9-3-2
8-3-0Fiche visiteur7-3-1
8-2-010 derniers matchs7-2-1
4.25Buts par match 4.64
3.04Buts contre par match 3.00
27.27%Pourcentage en avantage numérique25.93%
69.05%Pourcentage en désavantage numérique80.95%
Meneurs d'équipe
Alexander PetrovicButs
Alexander Petrovic
0
Alexander PetrovicPasses
Alexander Petrovic
4
Alexander PetrovicPoints
Alexander Petrovic
4
Alexander PetrovicPlus/Moins
Alexander Petrovic
-2
Troy GrosenickVictoires
Troy Grosenick
16
Josef KorenarPourcentage d’arrêts
Josef Korenar
0.932

Statistiques d’équipe
Buts pour
102
4.25 GFG
Tirs pour
900
37.50 Avg
Pourcentage en avantage numérique
27.3%
15 GF
Début de zone offensive
42.7%
Buts contre
73
3.04 GAA
Tirs contre
788
32.83 Avg
Pourcentage en désavantage numérique
69.0%
13 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralJF Gibo
DivisionNord
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 250
Espoirs20


Historique d'équipe

Saison actuelle17-7-0 (34PTS)
Historique438-197-48 (0.641%)
Apparitions en séries éliminatoires 6
Historique en séries éliminatoires (W-L)31-29
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Brett ConnollyX100.007236926883798569586771627377690506802833,500,000$
2Greg McKeggXXX100.00793690657377836275636470647769050660281700,000$
3Nikolai ProkhorkinXXX100.006835956481788069716863557075690506502711,775,000$
4Vladislav KamenevXXX100.00693594667968736874686160656966050650241750,000$
5Ty Dellandrea (R)X100.008352736975898370726663626761640506502031,400,833$
6Boris KatchoukX100.00714680638082876369646265636466050640221894,166$
7Brendan PerliniXX100.00593592688672736655636158646965050640241874,125$
8Denis MalginXXX100.00663584676585746872666361656764050640231700,000$
9Nicholas MerkleyX100.00783591626982786563686255666764050640231874,125$
10John Leonard (R)X100.005935926770788169576864567165630506402221,137,500$
11Reid BoucherX100.00583372647185906574666763687569050640271750,000$
12Will ButcherX100.005735957168878270307862595671670506602523,733,333$
13Dennis CholowskiX100.00563594678074716530686062526564050640221894,166$
14Brandon HickeyX100.00714383628176725930535658456964050610241925,000$
15Jack Ahcan (R)X100.005535956164776862306357615067640506102321,137,500$
16Sean DayX100.00793865598868735830605461466563050610221910,833$
Rayé
1Nolan Foote (R)X100.00583595648370816559646357656163050630193894,167$
2Kalle KossilaXX100.00603986636967726275646058617568050620271700,000$
3Greg CareyX100.00623986597188935960586056607971050620301650,000$
4Trey Fix-WolanskyX100.00633574636775816257616456636564050620212925,000$
5Pavel Dorofeyev (R)X100.00623888627180796356596457636164050620193925,000$
6Cole CasselsX100.00624878597182845868625756557165050610251905,000$
7Connor DewarX100.00653986626981865875605957616362050610212925,000$
8Simon HolmstromX100.00653593607480795956576154586163050610192925,000$
9Cliff PuX100.00693986587871765773605456586563050600221910,833$
10Christopher ClappertonX100.00563689536470735258575554527367050580261700,000$
MOYENNE D’ÉQUIPE100.0065388663747879635964615961686505063
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
1Josef Korenar100.0073767174727173727173726569050630221723,333$
2Troy Grosenick100.0072818074717072717072718086050630311700,000$
Rayé
MOYENNE D’ÉQUIPE100.007379767472717372717372737805063
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
1Ty DellandreaCrunch (TBL)C2413132614115686599297813.13%847619.8420213320001194255.90%54200001.0913010242
2Greg McKeggCrunch (TBL)C/LW/RW247182548070789020767.78%655022.9406611430001390053.51%59800000.9124000212
3Brett ConnollyCrunch (TBL)RW24101424420315012337818.13%757624.0351612430003413147.64%23300000.8314000130
4Denis MalginCrunch (TBL)C/LW/RW2371421120036457116619.86%636315.8000010000092155.36%34500001.1600000301
5Nikolai ProkhorkinCrunch (TBL)C/LW/RW24912211020223870264812.86%547219.67112542000001056.67%3000000.8900000211
6Brendan PerliniCrunch (TBL)LW/RW2391120740182861104314.75%137716.42000112000020069.57%2300001.0600000021
7Will ButcherCrunch (TBL)D2431720114063453213219.38%2358924.581561446000234000.00%000000.6800000101
8Vladislav KamenevCrunch (TBL)C/LW/RW2412820320212892207513.04%447319.7324616430000110060.61%3300010.8411000211
9Reid BoucherCrunch (TBL)LW249112011100173667204913.43%437715.7200004000002152.78%3600001.0600000101
10Dennis CholowskiCrunch (TBL)D2441115106047303172912.90%2457824.103251442000033000.00%000000.5200000000
11Nicholas MerkleyCrunch (TBL)RW2467131120201346104113.04%538015.84101327000000047.83%2300000.6800000012
12Jack AhcanCrunch (TBL)D2411112720422169166.25%3446319.33033328000022000.00%000000.5200000000
13John LeonardCrunch (TBL)LW24381164014162521212.00%1530612.7500001000001020.00%500000.7200000011
14Sean DayCrunch (TBL)D24088920063202010110.00%3246119.24011630000017000.00%000000.3500000000
15Brandon HickeyCrunch (TBL)D24437410043182241418.18%3041417.26011514000019000.00%000000.3400000000
16Alexander PetrovicLightningD6044-2402468540.00%912821.36000611000010000.00%000000.6200000000
17Casey MittelstadtLightningC7033-700219171180.00%213819.74011112000080050.00%17600000.4311000000
18Boris KatchoukCrunch (TBL)LW2411220051102910.00%3552.30000020000100022.22%900000.7300000000
Statistiques d’équipe totales ou en moyenne3959817427211691556855890025167610.89%218718318.19152540111440000728213553.53%205300010.76613010141413
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
1Troy GrosenickCrunch (TBL)2416600.9053.05135920697290001.0009240300
2Josef KorenarCrunch (TBL)31100.9322.4299004590000.6673024000
Statistiques d’équipe totales ou en moyenne2717700.9073.00145820737880000.917122424300


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Boris KatchoukCrunch (TBL)LW221998-06-18No199 Lbs6 ft2NoNoNo1Pro & Farm894,166$0$0$NoLien / Lien NHL
Brandon HickeyCrunch (TBL)D241996-04-13No201 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Brendan PerliniCrunch (TBL)LW/RW241996-04-27No211 Lbs6 ft3NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Brett ConnollyCrunch (TBL)RW281992-05-02No198 Lbs6 ft3NoNoNo3Pro & Farm3,500,000$0$0$No3,500,000$3,500,000$Lien / Lien NHL
Christopher ClappertonCrunch (TBL)LW261994-02-22No174 Lbs5 ft9NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Cliff PuCrunch (TBL)RW221998-06-03No187 Lbs6 ft2NoNoNo1Pro & Farm910,833$0$0$NoLien / Lien NHL
Cole CasselsCrunch (TBL)C251995-05-04No180 Lbs6 ft0NoNoNo1Pro & Farm905,000$0$0$NoLien / Lien NHL
Connor DewarCrunch (TBL)C211999-06-26No184 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Denis MalginCrunch (TBL)C/LW/RW231997-01-18No177 Lbs5 ft9NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Dennis CholowskiCrunch (TBL)D221998-02-15No197 Lbs6 ft2NoNoNo1Pro & Farm894,166$0$0$NoLien / Lien NHL
Greg CareyCrunch (TBL)LW301990-04-05No204 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Greg McKeggCrunch (TBL)C/LW/RW281992-06-17No194 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jack AhcanCrunch (TBL)D231997-05-18Yes178 Lbs5 ft8NoNoNo2Pro & Farm1,137,500$0$0$No1,137,500$Lien / Lien NHL
John LeonardCrunch (TBL)LW221998-08-07Yes183 Lbs5 ft11NoNoNo2Pro & Farm1,137,500$0$0$No1,137,500$Lien NHL
Josef KorenarCrunch (TBL)G221998-01-31No185 Lbs6 ft1NoNoNo1Pro & Farm723,333$0$0$NoLien / Lien NHL
Kalle KossilaCrunch (TBL)C/LW271993-04-14No182 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Nicholas MerkleyCrunch (TBL)RW231997-05-23No194 Lbs5 ft10NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Nikolai ProkhorkinCrunch (TBL)C/LW/RW271993-09-17No190 Lbs6 ft3NoNoNo1Pro & Farm1,775,000$0$0$NoLien / Lien NHL
Nolan FooteCrunch (TBL)LW192000-11-29Yes196 Lbs6 ft3NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien NHL
Pavel DorofeyevCrunch (TBL)LW192000-10-26Yes167 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Reid BoucherCrunch (TBL)LW271993-09-08No195 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Sean DayCrunch (TBL)D221998-01-09No225 Lbs6 ft3NoNoNo1Pro & Farm910,833$0$0$NoLien / Lien NHL
Simon HolmstromCrunch (TBL)RW192001-05-24No183 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Trey Fix-WolanskyCrunch (TBL)RW211999-05-26No178 Lbs5 ft7NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Troy GrosenickCrunch (TBL)G311989-08-27No185 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Ty DellandreaCrunch (TBL)C202000-07-21Yes190 Lbs6 ft1NoNoNo3Pro & Farm1,400,833$0$0$No1,400,833$1,400,833$Lien / Lien NHL
Vladislav KamenevCrunch (TBL)C/LW/RW241996-08-12No194 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Will ButcherCrunch (TBL)D251995-01-06No190 Lbs5 ft10NoNoNo2Pro & Farm3,733,333$0$0$No3,733,333$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.79190 Lbs6 ft01.501,101,426$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vladislav KamenevGreg McKeggBrett Connolly40122
2Nikolai ProkhorkinTy DellandreaNicholas Merkley30122
3Reid BoucherDenis MalginBrendan Perlini20122
4John LeonardBrett ConnollyGreg McKegg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will ButcherDennis Cholowski40122
2Sean DayJack Ahcan30122
3Brandon HickeyJohn Leonard20122
4Will ButcherDennis Cholowski10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vladislav KamenevGreg McKeggBrett Connolly60122
2Nikolai ProkhorkinTy DellandreaNicholas Merkley40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will ButcherDennis Cholowski60122
2Sean DayJack Ahcan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett ConnollyGreg McKegg60122
2Ty DellandreaVladislav Kamenev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will ButcherDennis Cholowski60122
2Sean DayJack Ahcan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Connolly60122Will ButcherDennis Cholowski60122
2Greg McKegg40122Sean DayJack Ahcan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett ConnollyGreg McKegg60122
2Ty DellandreaVladislav Kamenev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will ButcherDennis Cholowski60122
2Sean DayJack Ahcan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vladislav KamenevGreg McKeggBrett ConnollyWill ButcherDennis Cholowski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Vladislav KamenevGreg McKeggBrett ConnollyWill ButcherDennis Cholowski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Boris Katchouk, Reid Boucher, Denis MalginBoris Katchouk, Reid BoucherDenis Malgin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Hickey, Sean Day, Jack AhcanBrandon HickeySean Day, Jack Ahcan
Tirs de pénalité
Brett Connolly, Greg McKegg, Ty Dellandrea, Vladislav Kamenev, Nikolai Prokhorkin
Gardien
#1 : Troy Grosenick, #2 : Josef Korenar


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
1Americans10000010321000000000001000001032121.00033600352934622305295293204114629000.00%30100.00%047287653.88%41278752.35%21539055.13%613443543164303155
2Bears22000000844110000005321100000031241.00081624003529346803052952932054154445360.00%2150.00%047287653.88%41278752.35%21539055.13%613443543164303155
3Bruins11000000431000000000001100000043121.000481200352934642305295293204358114250.00%3166.67%047287653.88%41278752.35%21539055.13%613443543164303155
4Checkers10000010651100000106510000000000021.0006101600352934647305295293203812431100.00%20100.00%047287653.88%41278752.35%21539055.13%613443543164303155
5Devils11000000523110000005230000000000021.000581300352934646305295293202311724100.00%10100.00%047287653.88%41278752.35%21539055.13%613443543164303155
6Eagles11000000541110000005410000000000021.00059140035293463630529529320348428100.00%20100.00%047287653.88%41278752.35%21539055.13%613443543164303155
7Griffins1010000046-2000000000001010000046-200.00048120035293463430529529320302816400.00%4250.00%047287653.88%41278752.35%21539055.13%613443543164303155
8Marlies10000010431000000000001000001043121.0004610003529346373052952932043100172150.00%000.00%047287653.88%41278752.35%21539055.13%613443543164303155
9Palm Springs11000000541110000005410000000000021.0005914003529346563052952932031164302150.00%220.00%047287653.88%41278752.35%21539055.13%613443543164303155
10Penguins2020000027-51010000015-41010000012-100.0002240035293465530529529320672612597228.57%5180.00%047287653.88%41278752.35%21539055.13%613443543164303155
11Phantoms3120000048-41010000003-32110000045-120.33347110035293469430529529320114331276600.00%6266.67%047287653.88%41278752.35%21539055.13%613443543164303155
12Rampage220000001064110000005411100000052341.0001020300035293466430529529320651610423266.67%5260.00%047287653.88%41278752.35%21539055.13%613443543164303155
13Roadrunners1010000012-11010000012-10000000000000.0001120035293462330529529320395423200.00%20100.00%047287653.88%41278752.35%21539055.13%613443543164303155
14Senators10000010761000000000001000001076121.000710170035293463330529529320427224400.00%110.00%047287653.88%41278752.35%21539055.13%613443543164303155
15Sound Tigers11000000633110000006330000000000021.000691500352934633305295293202890224250.00%000.00%047287653.88%41278752.35%21539055.13%613443543164303155
16Thunderbirds21100000844211000008440000000000020.5008142200352934671305295293205214646400.00%3166.67%047287653.88%41278752.35%21539055.13%613443543164303155
17Wild220000002041611000000111101100000093641.0002034540035293461273052952932044152465240.00%10100.00%047287653.88%41278752.35%21539055.13%613443543164303155
Total24137000401027329138400010584018115300030443311340.7081021742760035293469003052952932078821893568551527.27%421369.05%047287653.88%41278752.35%21539055.13%613443543164303155
_Since Last GM Reset24137000401027329138400010584018115300030443311340.7081021742760035293469003052952932078821893568551527.27%421369.05%047287653.88%41278752.35%21539055.13%613443543164303155
_Vs Conference16750004057471084300010312568320003026224220.68857931500035293465603052952932054515661383381026.32%26773.08%047287653.88%41278752.35%21539055.13%613443543164303155
_Vs Division710000303024621000000844500000302220280.57130497900352934623930529529320251523014318316.67%14564.29%047287653.88%41278752.35%21539055.13%613443543164303155

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2434L11021742769007882189356800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
24137004010273
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
138400105840
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
115300304433
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
551527.27%421369.05%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
305295293203529346
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
47287653.88%41278752.35%21539055.13%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
613443543164303155


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 - 2021-10-121Penguins5Crunch1BLSommaire du match
3 - 2021-10-1414Crunch4Griffins6ALSommaire du match
5 - 2021-10-1627Crunch3Bears1AWSommaire du match
8 - 2021-10-1941Thunderbirds3Crunch2BLSommaire du match
12 - 2021-10-2370Eagles4Crunch5BWSommaire du match
14 - 2021-10-2583Crunch3Americans2AWXXSommaire du match
15 - 2021-10-2691Crunch1Penguins2ALSommaire du match
17 - 2021-10-28102Roadrunners2Crunch1BLSommaire du match
21 - 2021-11-01132Bears3Crunch5BWSommaire du match
24 - 2021-11-04149Crunch4Marlies3AWXXSommaire du match
26 - 2021-11-06162Crunch7Senators6AWXXSommaire du match
29 - 2021-11-09184Checkers5Crunch6BWXXSommaire du match
33 - 2021-11-13215Thunderbirds1Crunch6BWSommaire du match
35 - 2021-11-15230Sound Tigers3Crunch6BWSommaire du match
38 - 2021-11-18252Crunch2Phantoms1AWSommaire du match
40 - 2021-11-20262Devils2Crunch5BWSommaire du match
41 - 2021-11-21274Wild1Crunch11BWSommaire du match
43 - 2021-11-23287Phantoms3Crunch0BLSommaire du match
46 - 2021-11-26312Palm Springs4Crunch5BWSommaire du match
48 - 2021-11-28327Crunch9Wild3AWSommaire du match
50 - 2021-11-30341Crunch5Rampage2AWSommaire du match
52 - 2021-12-02353Rampage4Crunch5BWSommaire du match
54 - 2021-12-04368Crunch4Bruins3AWSommaire du match
55 - 2021-12-05377Crunch2Phantoms4ALSommaire du match
57 - 2021-12-07389Crunch-Rocket-
59 - 2021-12-09402Crunch-Marlies-
61 - 2021-12-11419Crunch-Senators-
64 - 2021-12-14438Reign-Crunch-
66 - 2021-12-16455Senators-Crunch-
68 - 2021-12-18478Crunch-Eagles-
71 - 2021-12-21501Crunch-Wolves-
73 - 2021-12-23519Crunch-Roadrunners-
78 - 2021-12-28537Rocket-Crunch-
80 - 2021-12-30552Crunch-Thunderbirds-
81 - 2021-12-31562Wolf Pack-Crunch-
83 - 2022-01-02575Crunch-Wolf Pack-
85 - 2022-01-04589Crunch-Monsters-
87 - 2022-01-06602Heat-Crunch-
89 - 2022-01-08616Bruins-Crunch-
91 - 2022-01-10631Crunch-Devils-
92 - 2022-01-11637Crunch-Americans-
94 - 2022-01-13651Comets-Crunch-
96 - 2022-01-15671Stars-Crunch-
99 - 2022-01-18700Crunch-Reign-
102 - 2022-01-21719Crunch-Gulls-
103 - 2022-01-22731Crunch-Barracuda-
108 - 2022-01-27759Devils-Crunch-
110 - 2022-01-29779Wolves-Crunch-
113 - 2022-02-01797Barracuda-Crunch-
135 - 2022-02-23812Condors-Crunch-
138 - 2022-02-26834Crunch-Admirals-
141 - 2022-03-01851Senators-Crunch-
143 - 2022-03-03864Penguins-Crunch-
144 - 2022-03-04874Griffins-Crunch-
146 - 2022-03-06894Crunch-IceHogs-
148 - 2022-03-08910Crunch-Moose-
150 - 2022-03-10926Crunch-Heat-
152 - 2022-03-12941Crunch-Condors-
153 - 2022-03-13950Crunch-Comets-
156 - 2022-03-16967Crunch-Palm Springs-
159 - 2022-03-19991Wolf Pack-Crunch-
162 - 2022-03-221007Crunch-Checkers-
164 - 2022-03-241019Crunch-Bruins-
166 - 2022-03-261035Crunch-Griffins-
167 - 2022-03-271046Crunch-Sound Tigers-
169 - 2022-03-291060Checkers-Crunch-
172 - 2022-04-011084IceHogs-Crunch-
173 - 2022-04-021093Rocket-Crunch-
175 - 2022-04-041110Marlies-Crunch-
177 - 2022-04-061123Crunch-Bears-
179 - 2022-04-081137Bruins-Crunch-
181 - 2022-04-101157Americans-Crunch-
183 - 2022-04-121174Crunch-Stars-
185 - 2022-04-141184Gulls-Crunch-
187 - 2022-04-161203Moose-Crunch-
190 - 2022-04-191222Griffins-Crunch-
192 - 2022-04-211239Marlies-Crunch-
194 - 2022-04-231253Admirals-Crunch-
195 - 2022-04-241265Crunch-Thunderbirds-
197 - 2022-04-261275Monsters-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
199 - 2022-04-281292Crunch-Sound Tigers-
200 - 2022-04-291305Crunch-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
855,697$ 3,083,991$ 361,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 855,697$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 146 15,343$ 2,240,078$




TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
28238350023426524817412117000121411221941171800222124126-288265460725260109718226080898804882238167384013253686718.21%3216280.69%21555276756.20%1307249552.38%692129353.52%2039140918636021057540
382323701264219198214119170012210396741132001142116102148421936658529092665426270940848820246571976914793597019.50%2874385.02%11424282050.50%1307273147.86%601121449.51%2059144218686011051534
4824229022342602035741231001223139944541191901011121109121002604717310509185792808094895189124347241405182160211018.27%56310780.99%51705316253.92%1522290552.39%649124552.13%2079141218466341040533
582481705255304195109412310031221531005341257021331519556123304539843170123878432440100710131179218762658820172455522.45%2644483.33%21891302162.60%1443245258.85%782126761.72%2228161117205581036543
682492104242374232142412214021111701185241277021312041149011837466710411401581258339870132913311309247572153721062274419.38%2394481.59%72244358562.59%1479263856.07%850138661.33%2302169016505361008534
78247160357436521614941258012321991128741228023421661046212336563910041501481228540030128013301334272072761521932054923.90%2574682.10%72196351962.40%1672289357.79%829137460.33%2278167016975341018541
8826214010324531972564133601001231931384129800031222104118134453812126525022012710244320148115071426236869743018372215826.24%1802287.78%22219361561.38%1421247057.53%893142262.80%239818091571498978527
9825021031343672481194122130211218712958412880102218011961117367655102222014211510435970113011961248268279347618971904423.16%2184479.82%61906330957.60%1555286854.22%797140656.69%2167158417775501014529
1024137000401027329138400010584018115300030443311341021742760035293469003052952932078821893568551527.27%421369.05%047287653.88%41278752.35%21539055.13%613443543164303155
Total Saison régulière68038119701916382927091810899341196990108131513819044773391859809825141328906422921270947837492114335111283267928206305930892739109205005898575315243247251220.71%237142582.08%32156122667458.53%121182223954.49%63081099757.36%181661307314539467985094440
Séries éliminatoires
4624000001920-131200000910-131200000101004193554200311521506078682205910216239923.08%431272.09%016424866.13%14823662.71%7110468.27%146100151477535
5624000001417-3312000008803120000069-34142438000643200065735919151521662627.69%25484.00%311323947.28%10121946.12%488755.17%14698144478041
68440000032257422000001614242200000161158325789000131183390103125110292745221129827.59%26580.77%117832255.28%18131557.46%6513050.00%211152174549751
7161060000051465853000002219385300000292722051881390102215116130196178209567173117420481122.92%531375.47%135865154.99%31061850.16%13026549.06%416290371119215111
8844000002624242200000131124220000013130826497500013673870153122112256916320023730.43%23482.61%025638466.67%16827660.87%7312160.33%218160165509552
91697000006455985300000332678440000031292186411517901023202170801962452625401719840138718.42%481079.17%041669959.51%31155056.55%16025662.50%418300348105198100
Total Séries éliminatoires6031290000020618719301614000001018813301515000001059966220636857422080675524620773821820206661948415602034421.67%2184877.98%51485254358.40%1219221455.06%54796356.80%155811041355424763392