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LHSRSM


Crunch
GP: 3 | W: 2 | L: 1
GF: 17 | GA: 7 | PP%: 22.22% | PK%: 66.67%
DG: JF Gibo | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #28 vs Marlies
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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
1Nick PaulXX100.00794786658777726578666367656966039660241750,000$
2Casey MittelstadtXXX100.006239886677818364716362656663650426402011,491,666$
3Jordan KyrouXX100.00573989676977766658636465686364050640212880,000$
4Troy TerryX100.005839856770767369576863617265660506402211,491,666$
5Greg McKeggX100.00734387647372806377616266637568050640271750,000$
6Alex FormentonX100.00565678687387886457606359626163050630203888,333$
7Denis MalginXXX100.00673886666578806477656261666563050630221750,000$
8Nikolai Prokhorkin (R)X100.006742896581766763596655596373690506302611,775,000$
9Reid BoucherXX100.00584389656973756359626461657367050630261750,000$
10Kalle KossilaXX100.00573983616976736272606063617367050620262700,000$
11Greg CareyXX100.00584888617188915956586057617867050620291650,000$
12Vladislav KamenevXXX100.00613988637974686473625957656764050620231750,000$
13Alexander PetrovicX100.00784687639083766130595662537568050630271700,000$
14Dennis CholowskiX100.00634388658084786330666061526362044630212894,166$
15Jacob MiddletonX100.00665183618575715930585760536764050610231735,000$
16Sean DayX100.00754687588877765630555357456362050600212910,833$
17Brandon HickeyX100.00664588568176755430535255456764050590231925,000$
Rayé
1Brendan PerliniXX100.00624284638674846253576456636664050620231874,125$
2Nicholas MerkleyX100.005842896069777362576159586265630506102211,075,833$
3Boris KatchoukX100.00655386588088915752555659606362050600212894,166$
4Cole CasselsX100.00544485597085845873605654586965050600241650,000$
5Trey Fix-WolanskyX100.00564683606380795954585853596163050590203925,000$
6Connor DewarX100.00514288575885845563565453546162050580203925,000$
7Cliff PuX100.00624388547875775250535156546362050580212910,833$
8Simon Holmstrom (R)X100.00584179597482815751535654575960050580183925,000$
9Christopher ClappertonX100.00513889536474735155525054537166050560251650,000$
MOYENNE D'ÉQUIPE100.0062448662757978605660585959676404961
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 SP
1Troy Grosenick100.0074898774737274737274737985050660
2Josef Korenar100.0069838174686769686769686367050620
Rayé
MOYENNE D'ÉQUIPE100.007286847471707271707271717605064
Nom du Coach 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
1Troy TerryCrunch (TBL)RW3426500412061720.00%15819.4220256000051080.00%500012.0600000101
2Reid BoucherCrunch (TBL)LW/RW31564206496811.11%15317.7901106000000066.67%300002.2500000000
3Greg McKeggCrunch (TBL)C3325420972051015.00%05819.6602206000210069.01%7100001.7000000010
4Alex FormentonCrunch (TBL)LW3224400591221216.67%05217.4400000000021050.00%800001.5300000010
5Denis MalginCrunch (TBL)C/LW/RW31345006797411.11%04816.2600012000000080.00%4000001.6400000100
6Nikolai ProkhorkinCrunch (TBL)LW3044600559520.00%05418.200000000000000.00%200001.4700000001
7Vladislav KamenevCrunch (TBL)C/LW/RW31344000790611.11%04816.1600000000010073.68%1900001.6500000000
8Casey MittelstadtCrunch (TBL)C/LW/RW31233202493411.11%05317.7400017000030072.73%1100001.1300000000
9Nick PaulCrunch (TBL)C/LW2033320887480.00%24824.0000013000030077.08%4800001.2500000000
10Alexander PetrovicCrunch (TBL)D31125204570314.29%57424.960002700006000.00%000000.5300000000
11Jacob MiddletonCrunch (TBL)D31123205212038.33%26220.900003500005000.00%000000.6400000000
12Jordan KyrouCrunch (TBL)C/RW31122001517565.88%15819.3500026000150074.07%2700000.6900000000
13Brendan PerliniCrunch (TBL)LW/RW1101-1001120250.00%01515.530000000000000.00%000001.2900000000
14Sean DayCrunch (TBL)D3011020613200.00%25819.420003600004000.00%000000.3400000000
15Brandon HickeyCrunch (TBL)D3000440200000.00%35117.230000300004000.00%000000.0000000000
16Dennis CholowskiCrunch (TBL)D2000400123040.00%65125.880003400004000.00%000000.0000000000
17Kalle KossilaCrunch (TBL)C/LW3000000020010.00%062.26000000000200100.00%600000.0000000000
18Greg CareyCrunch (TBL)C/LW3000000010020.00%1299.8100000000000059.09%2200000.0000000000
Stats d'équipe Total ou en Moyenne50173047551806571148459211.49%2488517.7023521670003512072.14%26200011.0600000222
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)32100.9122.10143015570100.000030000
2Josef KorenarCrunch (TBL)10000.8753.3336002160000.000003000
Stats d'équipe Total ou en Moyenne42100.9042.33180017730100.000033000


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alex FormentonCrunch (TBL)LW201999-09-13No165 Lbs6 ft2NoNoNo3Pro & Farm888,333$0$0$No888,333$888,333$Lien
Alexander PetrovicCrunch (TBL)D271992-03-03No216 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Boris KatchoukCrunch (TBL)LW211998-06-18No199 Lbs6 ft2NoNoNo2Pro & Farm894,166$0$0$No894,166$Lien / Lien NHL
Brandon HickeyCrunch (TBL)D231996-04-13No201 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Brendan PerliniCrunch (TBL)LW/RW231996-04-27No211 Lbs6 ft3NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Casey MittelstadtCrunch (TBL)C/LW/RW201998-11-22No199 Lbs6 ft1NoNoNo1Pro & Farm1,491,666$0$0$NoLien / Lien NHL
Christopher ClappertonCrunch (TBL)LW251994-02-22No174 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$NoLien
Cliff PuCrunch (TBL)RW211998-06-03No187 Lbs6 ft2NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Cole CasselsCrunch (TBL)C241995-05-04No180 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien
Connor DewarCrunch (TBL)C201999-06-26No184 Lbs5 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Denis MalginCrunch (TBL)C/LW/RW221997-01-18No177 Lbs5 ft9NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Dennis CholowskiCrunch (TBL)D211998-02-15No197 Lbs6 ft2NoNoNo2Pro & Farm894,166$0$0$No894,166$Lien / Lien NHL
Greg CareyCrunch (TBL)C/LW291990-04-05No204 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Greg McKeggCrunch (TBL)C271992-06-17No192 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jacob MiddletonCrunch (TBL)D231996-01-02No210 Lbs6 ft3NoNoNo1Pro & Farm735,000$0$0$NoLien / Lien NHL
Jordan KyrouCrunch (TBL)C/RW211998-05-05No175 Lbs6 ft0NoNoNo2Pro & Farm880,000$0$0$No880,000$Lien / Lien NHL
Josef KorenarCrunch (TBL)G211998-01-31No185 Lbs6 ft1NoNoNo1Pro & Farm723,333$0$0$NoLien / Lien NHL
Kalle KossilaCrunch (TBL)C/LW261993-04-14No182 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Nicholas MerkleyCrunch (TBL)RW221997-05-23No194 Lbs5 ft10NoNoNo1Pro & Farm1,075,833$0$0$NoLien / Lien NHL
Nick PaulCrunch (TBL)C/LW241995-03-20No219 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nikolai ProkhorkinCrunch (TBL)LW261993-09-17Yes190 Lbs6 ft3NoNoNo1Pro & Farm1,775,000$0$0$No
Reid BoucherCrunch (TBL)LW/RW261993-09-08No195 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Sean DayCrunch (TBL)D211998-01-09No225 Lbs6 ft3NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Simon HolmstromCrunch (TBL)RW182001-05-24Yes183 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Trey Fix-WolanskyCrunch (TBL)RW201999-05-26No178 Lbs5 ft7NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Troy GrosenickCrunch (TBL)G301989-08-27No185 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Troy TerryCrunch (TBL)RW221997-09-10No180 Lbs6 ft0NoNoNo1Pro & Farm1,491,666$0$0$NoLien / Lien NHL
Vladislav KamenevCrunch (TBL)C/LW/RW231996-08-12No194 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2823.07192 Lbs6 ft01.50894,463$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Casey MittelstadtNick PaulJordan Kyrou30122
2Reid BoucherGreg McKeggTroy Terry30122
3Alex FormentonDenis MalginVladislav Kamenev25122
4Nikolai ProkhorkinGreg CareyNick Paul15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander PetrovicDennis Cholowski30122
2Jacob MiddletonSean Day30122
3Brandon HickeyNikolai Prokhorkin25122
4Alexander PetrovicDennis Cholowski15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Casey MittelstadtNick PaulJordan Kyrou60122
2Reid BoucherGreg McKeggTroy Terry40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander PetrovicDennis Cholowski60122
2Jacob MiddletonSean Day40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nick PaulJordan Kyrou60122
2Casey MittelstadtTroy Terry40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander PetrovicDennis Cholowski60122
2Jacob MiddletonSean Day40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nick Paul60122Alexander PetrovicDennis Cholowski60122
2Jordan Kyrou40122Jacob MiddletonSean Day40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick PaulJordan Kyrou60122
2Casey MittelstadtTroy Terry40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander PetrovicDennis Cholowski60122
2Jacob MiddletonSean Day40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Casey MittelstadtNick PaulJordan KyrouAlexander PetrovicDennis Cholowski
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Casey MittelstadtNick PaulJordan KyrouAlexander PetrovicDennis Cholowski
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kalle Kossila, Denis Malgin, Alex FormentonKalle Kossila, Denis MalginAlex Formenton
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Hickey, Jacob Middleton, Sean DayBrandon HickeyJacob Middleton, Sean Day
Tirs de Pénalité
Nick Paul, Jordan Kyrou, Casey Mittelstadt, Troy Terry, Greg McKegg
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
LigueDomicileVisiteur
# 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
1Marlies32100000177102110000011651100000061540.6671730470155701483747640732418659222.22%9366.67%010113773.72%568169.14%324472.73%836160183618
Total32100000177102110000011651100000061540.6671730470155701483747640732418659222.22%9366.67%010113773.72%568169.14%324472.73%836160183618
_Since Last GM Reset32100000177102110000011651100000061540.6671730470155701483747640732418659222.22%9366.67%010113773.72%568169.14%324472.73%836160183618
_Vs Conference32100000177102110000011651100000061540.6671730470155701483747640732418659222.22%9366.67%010113773.72%568169.14%324472.73%836160183618
_Vs Division32100000177102110000011651100000061540.6671730470155701483747640732418659222.22%9366.67%010113773.72%568169.14%324472.73%836160183618

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
34W21730471487324186501
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3210000177
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2110000116
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
110000061
Derniers 10 Matchs
WLOTWOTL SOWSOL
210000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
9222.22%9366.67%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
37476405570
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
10113773.72%568169.14%324472.73%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
836160183618


Derniers Match 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 - 2021-04-064Marlies6Crunch3LSommaire du Match
3 - 2021-04-0812Marlies0Crunch8WSommaire du Match
5 - 2021-04-1020Crunch6Marlies1WSommaire du Match
7 - 2021-04-1228Crunch-Marlies-
9 - 2021-04-1436Marlies-Crunch-
11 - 2021-04-1644Crunch-Marlies-
13 - 2021-04-1852Marlies-Crunch-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,504,495$ 1,093,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 8 0$ 0$




LigueDomicileVisiteur
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
28238350023426524817412117000121411221941171800222124126-2762654607252610971826260889880488251238167384013253686718.21%3216280.69%21555276756.20%1307249552.38%692129353.52%2039140918636021057540
38232370126421919821411917001221039674113200114211610214642193665852992665411262794084882054246571976914793597019.50%2874385.02%11424282050.50%1307273147.86%601121449.51%2059144218686011051534
4824229022342602035741231001223139944541191901011121109128426047173105918579828089489518915324347241405182160211018.27%56310780.99%51705316253.92%1522290552.39%649124552.13%2079141218466341040533
5824817052553041951094123100312215310053412570213315195569630453984317123878411324410071013117973218762658820172455522.45%2644483.33%21891302162.60%1443245258.85%782126761.72%2228161117205581036543
682492104242374232142412214021111701185241277021312041149098374667104114158125839398713291331130938247572153721062274419.38%2394481.59%72244358562.59%1479263856.07%850138661.33%2302169016505361008534
782471603574365216149412580123219911287412280234216610462943656391004151481228515400312801330133499272072761521932054923.90%2574682.10%72196351962.40%1672289357.79%829137460.33%2278167016975341018541
88262140103245319725641336010012319313841298000312221041181244538121265252201271026443214811507142636236869743018372215826.24%1802287.78%22219361561.38%1421247057.53%893142262.80%239818091571498978527
88262140103245319725641336010012319313841298000312221041181244538121265252201271026443214811507142636236869743018372215826.24%1802287.78%22219361561.38%1421247057.53%893142262.80%239818091571498978527
98250210313436724811941221302112187129584128801022180119611173676551022221421151048359711301196124854268279347618971904423.16%2184479.82%61906330957.60%1555286854.22%797140656.69%2167158417775501014529
Total Saison Régulière73843020402016373130601934112636922110101181216155495759736920910309825151506977529877306054218481134813039257758031738104941048710515494220806377609016512263855521.04%250943482.70%34173592941359.02%131272392254.87%69861202958.08%199511444015567501391844812
Séries
4624000001920-131200000910-131200000101004193554203115021560786892205910216239923.08%431272.09%016424866.13%14823662.71%7110468.27%146100151477535
5624000001417-3312000008803120000069-34142438006431200657359319151521662627.69%25484.00%311323947.28%10121946.12%488755.17%14698144478041
68440000032257422000001614242200000161158325789001311803391031251101292745221129827.59%26580.77%117832255.28%18131557.46%6513050.00%211152174549751
71610600000514658530000022193853000002927220518813901221511361319617820930567173117420481122.92%531375.47%135865154.99%31061850.16%13026549.06%416290371119215111
8844000002624242200000131124220000013130826497500136703871531221120256916320023730.43%23482.61%025638466.67%16827660.87%7312160.33%218160165509552
932100000177102110000011651100000061541730470155701483747640732418659222.22%9366.67%010113773.72%568169.14%324472.73%836160183618
Total Séries472423000001591392024121200000796811231211000008071948159283442226252414190261462362243159947240412241743922.41%1794177.09%51170198159.06%964174555.24%41975155.79%12248641066338600311