ANA  ARI  BOS  BUF  CAR  CBJ  CGY  CHI  COL  DAL  DET  EDM  FLO  LAK  MIN  MTL  NJD  NSH  NYI  NYR  OTT  PHI  PIT  SJS  STL  TBL  TOR  VAN  VGK  WPG  WSH

Crunch

GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 18 | GA: 8 | PP%: 25.00% | PK%: 100.00%
DG: JF Gibo | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #63 vs Thunderbirds
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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 SP
1Casey MittelstadtXXX100.00623988667781836471636265666365050640
2Jordan KyrouXX100.00573989676977766658636465686364050640
3Troy TerryX100.00583985677076736957686361726566050640
4Greg McKeggX100.00734387647372806377616266637568050640
5Alex FormentonX100.00565678687387886457606359626163050630
6Denis MalginXXX100.00673886666578806477656261666563050630
7Nikolai Prokhorkin (R)X100.00674289658176676359665559637369050630
8Reid BoucherXX100.00584389656973756359626461657367050630
9Brendan PerliniXX100.00624284638674846253576456636664050620
10Kalle KossilaXX100.00573983616976736272606063617367050620
11Greg CareyXX100.00584888617188915956586057617867050620
12Vladislav KamenevXXX100.00613988637974686473625957656764050620
13Kevin ConnautonX100.00734685608186775930645870547868050640
14Alexander PetrovicX100.00784687639083766130595662537568050630
15Dennis CholowskiX100.00634388658084786330666061526362050630
16Jacob MiddletonX100.00665183618575715930585760536764050610
17Sean DayX100.00754687588877765630555357456362050600
18Brandon HickeyX100.00664588568176755430535255456764050590
Rayé
1Nicholas MerkleyX100.00584289606977736257615958626563050610
2Boris KatchoukX100.00655386588088915752555659606362050600
3Cole CasselsX100.00544485597085845873605654586965050600
4Trey Fix-WolanskyX100.00564683606380795954585853596163050590
5Connor DewarX100.00514288575885845563565453546162050580
6Cliff PuX100.00624388547875775250535156546362050580
7Simon Holmstrom (R)X100.00584179597482815751535654575960050580
8Christopher ClappertonX100.00513889536474735155525054537166050560
MOYENNE D'ÉQUIPE100.0062448662757978605460585959676505061
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
1Tristan Jarry100.0085787679848385848385846973050700
2Troy Grosenick100.0074898774737274737274737985050660
Rayé
1Josef Korenar100.0069838174686769686769686367050620
MOYENNE D'ÉQUIPE100.007683817675747675747675707505066
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
1Greg CareyCrunch (TBL)C/LW443780044132930.77%06115.3300000000001083.15%8900002.2800000111
2Vladislav KamenevCrunch (TBL)C/LW/RW4347800351751117.65%06115.3300000000001081.82%1100002.2800000101
3Reid BoucherCrunch (TBL)LW/RW4257800861951110.53%16115.3300000000000080.00%500002.2800000021
4Troy TerryCrunch (TBL)RW42355202132091310.00%07719.35000030000410100.00%1200001.2900000000
5Alexander PetrovicCrunch (TBL)D40442001236230.00%59724.290001300007000.00%000000.8200000000
6Denis MalginCrunch (TBL)C/LW/RW404450094245150.00%07318.32000230000000100.00%500001.0900000000
7Jacob MiddletonCrunch (TBL)D42135003383425.00%58120.300001300006000.00%000000.7400000000
8Greg McKeggCrunch (TBL)C421352010101981010.53%27619.1900033000030077.57%10700000.7800000001
9Casey MittelstadtCrunch (TBL)C/LW/RW4112-30085234104.35%06817.1710112000040066.67%300000.5800000000
10Nikolai ProkhorkinCrunch (TBL)LW4022-10010519630.00%16115.3601100000020057.69%5200000.6500000000
11Kevin ConnautonCrunch (TBL)D4022200756140.00%149724.290001300017000.00%000000.4100000000
12Brandon HickeyCrunch (TBL)D4011220403030.00%36215.600000000000000.00%000000.3200000000
13Dennis CholowskiCrunch (TBL)D4011520644050.00%78020.110002300005000.00%000000.2500000000
14Jordan KyrouCrunch (TBL)C/RW4101-420411187155.56%08421.1500002000070062.96%2700000.2400000000
15Nick PaulLightningC/LW2101-30068811312.50%15025.0400002000041080.00%8000000.4000000000
16Sean DayCrunch (TBL)D40112401213230.00%56115.410000000000000.00%000000.3200000000
17Alex FormentonCrunch (TBL)LW4000000010010.00%020.63000000000100100.00%100000.0000000000
18Brendan PerliniCrunch (TBL)LW/RW4000-100114120.00%0276.830000000000000.00%200000.0000000000
Stats d'équipe Total ou en Moyenne701833514514010989214611358.41%44118616.9411211320001554076.40%39400000.8600000234
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
1Tristan JarryCrunch (TBL)44000.9262.002400081080000.000040000
Stats d'équipe Total ou en Moyenne44000.9262.002400081080000.000040000


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
Kevin ConnautonCrunch (TBL)D291990-02-23No205 Lbs6 ft2NoNoNo1Pro & Farm1,375,000$0$0$NoLien / Lien NHL
Nicholas MerkleyCrunch (TBL)RW221997-05-23No194 Lbs5 ft10NoNoNo1Pro & Farm1,075,833$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
Tristan JarryCrunch (TBL)G241995-04-29No194 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
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
2923.28192 Lbs6 ft01.48908,447$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Casey MittelstadtNikolai ProkhorkinJordan Kyrou30122
2Denis MalginGreg McKeggTroy Terry30122
3Reid BoucherGreg CareyVladislav Kamenev25122
4Nikolai ProkhorkinJordan KyrouBrendan Perlini15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonAlexander Petrovic30122
2Dennis CholowskiJacob Middleton30122
3Sean DayBrandon Hickey25122
4Kevin ConnautonAlexander Petrovic15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Casey MittelstadtNikolai ProkhorkinJordan Kyrou60122
2Denis MalginGreg McKeggTroy Terry40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonAlexander Petrovic60122
2Dennis CholowskiJacob Middleton40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Troy TerryJordan Kyrou60122
2Greg McKeggCasey Mittelstadt40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonAlexander Petrovic60122
2Dennis CholowskiJacob Middleton40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Greg McKegg60122Kevin ConnautonAlexander Petrovic60122
2Jordan Kyrou40122Dennis CholowskiJacob Middleton40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Reid BoucherJordan Kyrou60122
2Greg McKeggCasey Mittelstadt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonAlexander Petrovic60122
2Dennis CholowskiJacob Middleton40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Casey MittelstadtGreg McKeggJordan KyrouKevin ConnautonAlexander Petrovic
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Casey MittelstadtGreg McKeggJordan KyrouKevin ConnautonAlexander Petrovic
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Formenton, Reid Boucher, Nikolai ProkhorkinAlex Formenton, Reid BoucherNikolai Prokhorkin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sean Day, Brandon Hickey, Dennis CholowskiSean DayBrandon Hickey, Dennis Cholowski
Tirs de Pénalité
Nikolai Prokhorkin, Jordan Kyrou, Greg McKegg, Casey Mittelstadt, Troy Terry
Gardien
#1 : Tristan Jarry, #2 : Troy Grosenick


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
1Admirals22000000725110000004131100000031241.00071320008460131627280044266692150.00%30100.00%014920473.04%9712080.83%557078.57%1219270224827
2Checkers220000001165110000006511100000051441.0001120310084608362728006418840200.00%40100.00%014920473.04%9712080.83%557078.57%1219270224827
Total44000000188102200000010642200000082681.000183351008460214627280010844141094125.00%70100.00%014920473.04%9712080.83%557078.57%1219270224827
_Since Last GM Reset44000000188102200000010642200000082681.000183351008460214627280010844141094125.00%70100.00%014920473.04%9712080.83%557078.57%1219270224827
_Vs Conference220000001165110000006511100000051441.0001120310084608362728006418840200.00%40100.00%014920473.04%9712080.83%557078.57%1219270224827

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
48W4183351214108441410900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4400000188
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000106
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000082
Derniers 10 Matchs
WLOTWOTL SOWSOL
400000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4125.00%70100.00%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
62728008460
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
14920473.04%9712080.83%557078.57%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1219270224827


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
3 - 2020-04-0713Checkers5Crunch6WSommaire du Match
4 - 2020-04-0821Crunch5Checkers1WSommaire du Match
6 - 2020-04-1036Admirals1Crunch4WSommaire du Match
7 - 2020-04-1147Crunch3Admirals1WSommaire du Match
10 - 2020-04-1463Crunch-Thunderbirds-
12 - 2020-04-1678Crunch-Thunderbirds-
14 - 2020-04-1894Thunderbirds-Crunch-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité 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$ 2,634,495$ 1,298,250$ 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$ 6 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
Total Saison Régulière65638018301715342726931686100732819988097111413678285393281819508823131326858468760269347667459114611618106717228141936492919267440193985584561414615244851120.87%229139082.98%28154532610459.20%115722105454.96%61891062358.26%177841285513790446381694283
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
Total Séries44222200000142132102211110000068626221111000007470444142253395215747344175457757655843152644838611591653722.42%1703877.65%51069184457.97%908166454.57%38770754.74%11408031006319564292