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Crunch

GP: 52 | W: 37 | L: 13 | OTL: 2 | P: 76
GF: 251 | GA: 161 | PP%: 21.60% | PK%: 81.68%
DG: JF Gibo | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #812 vs Reign
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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
1Andrew MangiapaneXX100.00733887686778856754657162696766054660231715,000$
2Casey MittelstadtXXX100.006239886677818364716362656663650456402011,491,666$
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 CholowskiX100.00634388658084786330666061526362050630212894,166$
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'ÉQUIPE100.0062438662747979615560595960676405061
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 McKeggCrunch (TBL)C52304171402601201072056214614.63%1194018.08371020680112665159.84%122000011.5112000761
2Troy TerryCrunch (TBL)RW52273562318057952225915512.16%15103219.86381135116303101224257.69%7800001.2003000363
3Reid BoucherCrunch (TBL)LW/RW522233552710038762145914410.28%1291617.63044291010000160143.48%6900101.2000000133
4Jordan KyrouCrunch (TBL)C/RW5126265217200541292316816711.26%1698019.2315631971123635251.66%102600001.0602000124
5Alex FormentonCrunch (TBL)LW522228503019541941516111014.57%2281815.74000010001235152.63%5700001.2200001422
6Dennis CholowskiCrunch (TBL)D528425024100617310335637.77%68116522.42347281020220117300.00%000000.8600000123
7Alexander PetrovicCrunch (TBL)D5293342393801464710139498.91%70128524.735813411180001110000.00%000000.6500000301
8Casey MittelstadtCrunch (TBL)C/LW/RW389334225120346614739976.12%370718.6312325880001401058.50%68200001.1924000124
9Denis MalginCrunch (TBL)C/LW/RW521623391618011592211541317.58%1088717.062242368000062060.00%37500000.8800000033
10Andrew MangiapaneCrunch (TBL)LW/RW291917362812075651595312811.95%765222.5020226660222674242.59%27000011.1003000513
11Vladislav KamenevCrunch (TBL)C/LW/RW5211172811100366211944849.24%264012.3301123000011059.90%19700000.8700000121
12Jacob MiddletonCrunch (TBL)D52818262121593318421529.52%67106320.4544834960000101100.00%000000.4900001111
13Brendan PerliniCrunch (TBL)LW/RW371213251660242883296414.46%744312.0000000000021060.00%3000001.1300000001
14Nikolai ProkhorkinCrunch (TBL)LW52520251040646111539834.35%3175814.591232170000171060.34%5800000.6600000200
15Sean DayCrunch (TBL)D5251621212401161648192310.42%5389417.201121036000053100.00%000000.4700000101
16Greg CareyCrunch (TBL)C/LW52812201880354652155715.38%84939.49000001011110048.05%46200000.8100000020
17Kalle KossilaCrunch (TBL)C/LW344101474012294916278.16%62306.78000000111180053.70%21600001.2100000010
18Kevin ConnautonLightningD16212141217533173414325.88%3839424.681121637000035000.00%000000.7100001000
19Philippe MyersLightningD10012127602612258150.00%1924424.400221325011013000.00%000000.9800000002
20Brandon HickeyCrunch (TBL)D372791712056141771311.76%3957615.5800000000027000.00%000000.3100000001
21Andrew CoglianoLightningC/LW4325220121225111312.00%27919.7902217000191046.85%11100011.2600000100
Stats d'équipe Total ou en Moyenne88024845069841928715124811722395752165310.35%5061520717.28275380336105558132392735954.94%485100130.92314003323334
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)52371120.9073.0430034215216280220.76913520511
2Troy GrosenickCrunch (TBL)40200.9282.24134005690000.0000052000
Stats d'équipe Total ou en Moyenne56371320.9073.0031384215716970220.769135252511


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
Andrew MangiapaneCrunch (TBL)LW/RW231996-04-04No184 Lbs5 ft10NoNoNo1Pro & Farm715,000$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
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
2923.07191 Lbs6 ft01.48885,688$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andrew MangiapaneCasey MittelstadtTroy Terry30122
2Reid BoucherGreg McKeggJordan Kyrou30122
3Alex FormentonDenis MalginVladislav Kamenev25122
4Nikolai ProkhorkinGreg CareyAndrew Mangiapane15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander Petrovic30122
2Dennis CholowskiJacob Middleton30122
3Sean DayNikolai Prokhorkin25122
4Alexander Petrovic15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andrew MangiapaneCasey MittelstadtTroy Terry60122
2Reid BoucherGreg McKeggJordan Kyrou40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander Petrovic60122
2Dennis CholowskiJacob Middleton40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andrew MangiapaneTroy Terry60122
2Casey MittelstadtGreg McKegg40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander Petrovic60122
2Dennis CholowskiJacob Middleton40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andrew Mangiapane60122Alexander Petrovic60122
2Troy Terry40122Dennis CholowskiJacob Middleton40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Andrew MangiapaneTroy Terry60122
2Casey MittelstadtGreg McKegg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexander Petrovic60122
2Dennis CholowskiJacob Middleton40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrew MangiapaneCasey MittelstadtTroy TerryAlexander Petrovic
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrew MangiapaneCasey MittelstadtTroy TerryAlexander Petrovic
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kalle Kossila, Denis Malgin, Alex FormentonKalle Kossila, Denis MalginAlex Formenton
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sean Day, Dennis Cholowski, Jacob MiddletonSean DayDennis Cholowski, Jacob Middleton
Tirs de Pénalité
Andrew Mangiapane, Troy Terry, Casey Mittelstadt, Greg McKegg, Jordan Kyrou
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
1Admirals11000000431000000000001100000043121.0004711001037866564755779851253013822300.00%30100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
2Americans21100000752110000005231010000023-120.500711180010378665757557798512558181243300.00%6183.33%01224215056.93%948181452.26%49690254.99%138010081118350643336
3Barracuda220000001147110000006151100000053241.00011203100103786658575577985125661314538450.00%60100.00%11224215056.93%948181452.26%49690254.99%138010081118350643336
4Bears310020001385210010009541000100043161.00013223500103786651727557798512588271387100.00%4175.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
5Bruins220000001248110000007431100000050541.00012213301103786658775577985125551510488337.50%5180.00%11224215056.93%948181452.26%49690254.99%138010081118350643336
6Checkers11000000624110000006240000000000021.0006111700103786655175577985125206421400.00%20100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
7Comets110000001331011000000133100000000000021.0001322350010378665947557798512521982011100.00%40100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
8Condors1100000011290000000000011000000112921.00011213200103786658675577985125306418100.00%20100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
9Devils3100000211110210000017611000000145-140.667112132001037866513175577985125144272370500.00%9277.78%01224215056.93%948181452.26%49690254.99%138010081118350643336
10Eagles11000000633110000006330000000000021.000612180010378665427557798512527114243133.33%20100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
11Griffins11000000532000000000001100000053221.0005914001037866542755779851252382322150.00%10100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
12Gulls321000001091211000007701100000032140.667101828001037866511275577985125117452780500.00%90100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
13Heat11000000532110000005320000000000021.0005101500103786654175577985125441942511100.00%20100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
14IceHogs11000000725110000007250000000000021.000714210010378665497557798512541106233133.33%3166.67%11224215056.93%948181452.26%49690254.99%138010081118350643336
15Marlies1010000012-1000000000001010000012-100.00012300103786653675577985125305623400.00%3166.67%01224215056.93%948181452.26%49690254.99%138010081118350643336
16Monsters3210000010731010000034-12200000073440.66710172700103786659575577985125832222696233.33%10370.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
17Moose11000000909000000000001100000090921.000916250110378665907557798512521442122100.00%20100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
18Penguins33000000291118330000002911180000000000061.000295382001037866521575577985125852918725360.00%9188.89%11224215056.93%948181452.26%49690254.99%138010081118350643336
19Phantoms31100010121021010000024-221000010106440.66712203200103786651167557798512510740205912325.00%100100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
20Rampage11000000431000000000001100000043121.0004711001037866559755779851253210218200.00%10100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
21Reign21100000880000000000002110000088020.5008152300103786656875577985125682912375360.00%6266.67%11224215056.93%948181452.26%49690254.99%138010081118350643336
22Roadrunners2010001058-31010000026-41000001032120.5005611001037866560755779851257615647200.00%3166.67%01224215056.93%948181452.26%49690254.99%138010081118350643336
23Rocket20200000610-420200000610-40000000000000.000611172010378665707557798512576161058200.00%5180.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
24Senators32100000141131010000056-12200000095440.6671424380010378665140755779851251143218901218.33%9455.56%01224215056.93%948181452.26%49690254.99%138010081118350643336
25Stars211000008801010000034-11100000054120.5008162400103786657775577985125681844210110.00%2150.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
26Thunderbirds21100000880000000000002110000088020.500813210010378665647557798512581231647300.00%8362.50%01224215056.93%948181452.26%49690254.99%138010081118350643336
Total52331302022251161902616801001137894826175010211147242760.7312514507012210378665239675577985125169950729112481252721.60%1312481.68%51224215056.93%948181452.26%49690254.99%138010081118350643336
27Wolf Pack22000000963110000006421100000032141.0009172600103786651147557798512549181249900.00%4175.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
28Wolves21100000770110000003211010000045-120.50071421001037866561755779851254519250300.00%10100.00%01224215056.93%948181452.26%49690254.99%138010081118350643336
_Since Last GM Reset52331302022251161902616801001137894826175010211147242760.7312514507012210378665239675577985125169950729112481252721.60%1312481.68%51224215056.93%948181452.26%49690254.99%138010081118350643336
_Vs Conference281670201214191501610401001955738126301011463412400.7141412483892110378665136575577985125928265170687691115.94%781679.49%21224215056.93%948181452.26%49690254.99%138010081118350643336
_Vs Division13550000253431053300001232218220000130219120.46253911442110378665514755779851254371177434134514.71%371170.27%11224215056.93%948181452.26%49690254.99%138010081118350643336

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5276W225145070123961699507291124822
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5233132022251161
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
26168100113789
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
26175102111472
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1252721.60%1312481.68%5
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
7557798512510378665
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
1224215056.93%948181452.26%49690254.99%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
138010081118350643336


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 - 2020-10-055Crunch4Reign3WSommaire du Match
3 - 2020-10-0720Penguins4Crunch14WSommaire du Match
6 - 2020-10-1039Crunch6Senators3WSommaire du Match
7 - 2020-10-1152Rocket4Crunch2LSommaire du Match
11 - 2020-10-1572Gulls1Crunch3WSommaire du Match
13 - 2020-10-1788Crunch3Gulls2WSommaire du Match
15 - 2020-10-19105Stars4Crunch3LSommaire du Match
17 - 2020-10-21120Crunch5Bruins0WSommaire du Match
19 - 2020-10-23137Crunch2Americans3LSommaire du Match
21 - 2020-10-25148Penguins2Crunch6WSommaire du Match
23 - 2020-10-27165Gulls6Crunch4LSommaire du Match
24 - 2020-10-28174Crunch3Monsters1WSommaire du Match
28 - 2020-11-01198Crunch4Phantoms3WXXSommaire du Match
29 - 2020-11-02210Devils5Crunch4LXXSommaire du Match
32 - 2020-11-05227Checkers2Crunch6WSommaire du Match
34 - 2020-11-07243Crunch5Griffins3WSommaire du Match
36 - 2020-11-09259Wolf Pack4Crunch6WSommaire du Match
38 - 2020-11-11270Crunch4Rampage3WSommaire du Match
40 - 2020-11-13286Crunch4Devils5LXXSommaire du Match
41 - 2020-11-14299Senators6Crunch5LSommaire du Match
44 - 2020-11-17315Crunch2Thunderbirds7LSommaire du Match
46 - 2020-11-19330Crunch9Moose0WSommaire du Match
47 - 2020-11-20339IceHogs2Crunch7WSommaire du Match
50 - 2020-11-23363Heat3Crunch5WSommaire du Match
52 - 2020-11-25380Crunch1Marlies2LSommaire du Match
54 - 2020-11-27389Eagles3Crunch6WSommaire du Match
56 - 2020-11-29409Crunch6Thunderbirds1WSommaire du Match
57 - 2020-11-30420Bears2Crunch3WXSommaire du Match
60 - 2020-12-03438Crunch4Monsters2WSommaire du Match
62 - 2020-12-05454Crunch5Stars4WSommaire du Match
63 - 2020-12-06463Phantoms4Crunch2LSommaire du Match
66 - 2020-12-09482Bruins4Crunch7WSommaire du Match
70 - 2020-12-13507Barracuda1Crunch6WSommaire du Match
72 - 2020-12-15524Crunch5Barracuda3WSommaire du Match
74 - 2020-12-17537Crunch4Bears3WXSommaire du Match
75 - 2020-12-18549Rocket6Crunch4LSommaire du Match
79 - 2020-12-22571Wolves2Crunch3WSommaire du Match
81 - 2020-12-24590Crunch4Admirals3WSommaire du Match
83 - 2020-12-26602Crunch4Reign5LSommaire du Match
84 - 2020-12-27609Penguins5Crunch9WSommaire du Match
87 - 2020-12-30633Crunch3Roadrunners2WXXSommaire du Match
88 - 2020-12-31641Comets3Crunch13WSommaire du Match
91 - 2021-01-03665Americans2Crunch5WSommaire du Match
93 - 2021-01-05680Crunch3Wolf Pack2WSommaire du Match
95 - 2021-01-07690Crunch6Phantoms3WSommaire du Match
96 - 2021-01-08701Monsters4Crunch3LSommaire du Match
99 - 2021-01-11720Crunch4Wolves5LSommaire du Match
101 - 2021-01-13731Crunch3Senators2WSommaire du Match
102 - 2021-01-14738Bears3Crunch6WSommaire du Match
104 - 2021-01-16761Roadrunners6Crunch2LSommaire du Match
107 - 2021-01-19777Crunch11Condors2WSommaire du Match
110 - 2021-01-22795Devils1Crunch3WSommaire du Match
112 - 2021-01-24812Crunch-Reign-
114 - 2021-01-26824Reign-Crunch-
116 - 2021-01-28837Crunch-Penguins-
119 - 2021-01-31855Admirals-Crunch-
122 - 2021-02-03880Rampage-Crunch-
124 - 2021-02-05892Crunch-Checkers-
127 - 2021-02-08911Crunch-Sound Tigers-
128 - 2021-02-09919Checkers-Crunch-
132 - 2021-02-13944Gulls-Crunch-
134 - 2021-02-15958Crunch-Wolf Pack-
136 - 2021-02-17973Wild-Crunch-
139 - 2021-02-20998Crunch-Heat-
140 - 2021-02-211004Moose-Crunch-
142 - 2021-02-231022Crunch-Griffins-
144 - 2021-02-251036Condors-Crunch-
147 - 2021-02-281054Crunch-Rocket-
148 - 2021-03-011065Griffins-Crunch-
152 - 2021-03-051091Marlies-Crunch-
153 - 2021-03-061103Crunch-Americans-
156 - 2021-03-091122Marlies-Crunch-
159 - 2021-03-121143Crunch-IceHogs-
160 - 2021-03-131155Sound Tigers-Crunch-
163 - 2021-03-161177Crunch-Wild-
165 - 2021-03-181183Stars-Crunch-
168 - 2021-03-211201Crunch-Gulls-
169 - 2021-03-221210Crunch-Eagles-
171 - 2021-03-241219Crunch-Bruins-
173 - 2021-03-261226Sound Tigers-Crunch-
177 - 2021-03-301251Thunderbirds-Crunch-
180 - 2021-04-021264Crunch-Comets-



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
15 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,552,320$ 2,568,495$ 1,160,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,552,320$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 72 14,113$ 1,016,136$




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
952331302022251161902616801001137894826175010211147242762514507012210378665239675577985125169950729112481252721.60%1312481.68%51224215056.93%948181452.26%49690254.99%138010081118350643336
Total Saison Régulière7084131960191536292944184710973542159601071115150491758735419810009825141440930510836294452168160134812648887377730537101191007010118465210976091590515863257353820.91%242241482.91%33166772825459.03%125202286854.75%66851152558.00%191651386314908481388124619
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