Rocket
GP: 82 | W: 39 | L: 33 | OTL: 10 | P: 88
GF: 184 | GA: 177 | PP%: 13.10% | PK%: 86.67%
DG: Louis-Philippe Deshaies | Morale : 50 | Moyenne d'Équipe : N/A
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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
1Adam GaudetteXXX100.006552827765628366707872542557577050002332,491,667$
2Antti SuomelaX100.00794393746454716072755766254848655000263700,000$
3Jonah GadjovichX100.00767676667659605750456463614444625000212863,333$
4Lias AnderssonXX100.007744917870547157625655812551516450002121,744,166$
5Lukas VejdemoXXX100.00777287647272775670505764544444615000242925,000$
6Micheal FerlandXX100.009492858079556258267458572565666550002821,750,000$
7Ryan CarpenterXX100.008245877773678660746356862560616850002911,000,000$
8Sam CarrickXX100.007068766568767967806170636746466850002811,000,000$
9Marcus SorensenXX100.00714288796466905930636075256163675000282700,000$
10Trevor LewisXX100.007744907475616759446060692574786450003322,000,000$
11Troy BrouwerXX100.008393847383546257445058675779846250003413,000,000$
12Austin Czarnik (A)XXX100.006558808058656471806570666762636950002711,000,000$
13Sam AnasXX100.00665494665477797080746262594444675000273675,000$
14Braydon Coburn (C)X100.008045877284647461254748708085926050003512,500,000$
15Radim SimekX100.00844590667271635825514881255555625000273675,000$
16Joel HanleyX100.007770937270727849254339643753545450002921,200,000$
17Lawrence PilutX100.007142907761697456253947802548485950002411,000,000$
18Brett LernoutX100.00808081648066734425313965375555525000242850,000$
19Dakota MermisX100.008544876767778065255050757955556350002611,000,000$
Rayé
1Will BittenXX100.00686087626069735771535659534444595000212910,000$
2Nick Henry (R)X100.00746985666969744950474660444444545000203826,666$
3Will ButcherX100.006742968468748470256449662561626434002513,775,000$
MOYENNE D'ÉQUIPE100.0076588772706674594956566843565763490
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
1Adam Wilcox100.0047556969434650534647304444485000
2Vitek Vanecek100.0063637968636564706565304444644900
Rayé
MOYENNE D'ÉQUIPE100.005559746953565762565630444456500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Travis Green81848082726777CAN5131,650,000$


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
1Austin CzarnikRocket (MTL)C/LW/RW82303060105020571182104513214.29%11173721.1911162751336000174177263.41%12300110.69412022636
2Ryan CarpenterRocket (MTL)C/RW821831499800152182131279413.74%18156519.091114254034000042723163.71%60900000.63310000663
3Adam GaudetteRocket (MTL)C/LW/RW811231431526056169112379610.71%4169920.98415192733500023875157.93%183500000.51214000225
4Troy BrouwerRocket (MTL)LW/RW82171330-294301125487285419.54%7102612.5145915149000033350.98%5100000.5800105322
5Radim SimekRocket (MTL)D82821291211601417255163714.55%68176721.565813393150001342200.00%000000.3300000141
6Lias AnderssonRocket (MTL)C/LW829182713604715910828888.33%8110613.4900095800021152150.85%88500000.4900000162
7Micheal FerlandRocket (MTL)LW/RW8110162699351675889295911.24%7132116.311342031501121293033.01%10300000.3904001352
8Sam CarrickRocket (MTL)C/RW8011152691804240103355510.68%66938.6700002000022154.64%9700000.7501000142
9Marcus SorensenRocket (MTL)LW/RW8271825-6420628711427706.14%8121314.804812423330000571142.62%6100000.4124000122
10Trevor LewisRocket (MTL)C/RW8271825-4695771048826707.95%6141517.2639123032200052411145.56%99000010.3514000300
11Jonah GadjovichRocket (MTL)LW8210142488630792956144817.86%37469.1100002000010148.72%3900000.6400204053
12Antti SuomelaRocket (MTL)C82617237100447758204110.34%27228.810113420001122055.87%46000000.6400000310
13Lawrence PilutRocket (MTL)D8210122278210787265224815.38%62171920.97459363020000326010.00%000000.2600000233
14Braydon CoburnRocket (MTL)D826152118201054552152111.54%67183822.424610373250000342110.00%000000.2324000200
15Will ButcherRocket (MTL)D4731821014019374414316.82%2592719.73391234201000098000.00%000000.4500000102
16Dakota MermisRocket (MTL)D8061521111001357351173811.76%65173921.74336231830000362100.00%000000.2401000111
17Sam AnasRocket (MTL)C/RW82101020-42610297479304912.66%7105512.8702232700031782154.97%19100000.3800101112
18Joel HanleyRocket (MTL)D701785126101032115376.67%35110615.80101454000073000.00%000000.1400110000
19Lukas VejdemoRocket (MTL)C/LW/RW37437-3155281427102114.81%43509.4700002000010057.14%1400000.4000001020
20Will BittenRocket (MTL)C/RW14000320252140.00%01067.6100000000000062.50%800000.0000000000
21Brett LernoutRocket (MTL)D3000-1135810000.00%74314.650000000002000.00%000000.0000100000
Stats d'équipe Total ou en Moyenne1477185322507771190130154314911546444106311.97%4202390316.18581041624133653011373369351554.21%546600120.4214546314374736
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
1Vitek VanecekRocket (MTL)57262290.8762.143443431239940200.775405724212
2Ilya SamsonovCanadiens27141110.9191.46160225394840110.83318265421
3Adam WilcoxRocket (MTL)72300.8103.6531200191000000.0000557000
Stats d'équipe Total ou en Moyenne914236100.8852.0353586818115780310.793588886633


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 Salaire RestantSalaire MoyenSalaire Moyen RestantCap 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
Adam GaudetteRocket (MTL)C/LW/RW231996-10-02No170 Lbs6 ft1NoNoNo3Pro & Farm2,491,667$20,094$1,491,667$12,030$0$0$No1,491,667$1,491,667$Lien
Adam WilcoxRocket (MTL)G261994-04-25No187 Lbs6 ft0NoNoNo3Pro & Farm808,750$6,522$808,750$6,522$0$0$No808,750$808,750$Lien
Antti SuomelaRocket (MTL)C261994-03-17No172 Lbs6 ft0NoNoNo3Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$Lien
Austin CzarnikRocket (MTL)C/LW/RW271992-12-12No160 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Braydon CoburnRocket (MTL)D351985-02-27No223 Lbs6 ft5NoNoNo1Pro & Farm2,500,000$20,161$2,500,000$20,161$0$0$NoLien
Brett LernoutRocket (MTL)D241995-09-23No213 Lbs6 ft4NoNoNo2Pro & Farm850,000$6,855$850,000$6,855$0$0$No850,000$Lien
Dakota MermisRocket (MTL)D261994-01-05No188 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Joel HanleyRocket (MTL)D291991-06-08No193 Lbs6 ft0NoNoNo2Pro & Farm1,200,000$9,677$1,200,000$9,677$0$0$No1,200,000$Lien
Jonah GadjovichRocket (MTL)LW211998-10-12No209 Lbs6 ft2NoNoNo2Pro & Farm863,333$6,962$450,000$3,629$0$0$No863,333$Lien
Lawrence PilutRocket (MTL)D241995-12-29No165 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Lias AnderssonRocket (MTL)C/LW211998-10-13No198 Lbs5 ft11NoNoNo2Pro & Farm1,744,166$14,066$450,000$3,629$0$0$No1,744,166$Lien
Lukas VejdemoRocket (MTL)C/LW/RW241996-01-25No194 Lbs6 ft2NoNoNo2Pro & Farm925,000$7,460$450,000$3,629$0$0$No925,000$Lien
Marcus SorensenRocket (MTL)LW/RW281992-04-07No175 Lbs5 ft11NoNoNo2Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$Lien
Micheal FerlandRocket (MTL)LW/RW281992-04-19No208 Lbs6 ft2NoNoNo2Pro & Farm1,750,000$14,113$1,750,000$14,113$0$0$No1,750,000$Lien
Nick HenryRocket (MTL)RW201999-07-04Yes192 Lbs5 ft11NoNoNo3Pro & Farm826,666$6,667$826,666$6,667$0$0$No826,666$826,666$
Radim SimekRocket (MTL)D271992-09-20No205 Lbs5 ft10NoNoNo3Pro & Farm675,000$5,444$675,000$5,444$0$0$No675,000$675,000$Lien
Ryan CarpenterRocket (MTL)C/RW291991-01-18No200 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Sam AnasRocket (MTL)C/RW271993-05-31No154 Lbs5 ft8NoNoNo3Pro & Farm675,000$5,444$675,000$5,444$0$0$No675,000$675,000$Lien
Sam CarrickRocket (MTL)C/RW281992-02-04No188 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Trevor LewisRocket (MTL)C/RW331987-01-07No205 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$16,129$2,000,000$16,129$0$0$No2,000,000$Lien
Troy BrouwerRocket (MTL)LW/RW341985-08-17No215 Lbs6 ft3NoNoNo1Pro & Farm3,000,000$24,194$3,000,000$24,194$0$0$NoLien
Vitek VanecekRocket (MTL)G241996-01-08No180 Lbs6 ft1NoNoNo2Pro & Farm863,333$6,962$450,000$3,629$0$0$No863,333$Lien
Will BittenRocket (MTL)C/RW211998-07-10No168 Lbs5 ft10NoNoNo2Pro & Farm910,000$7,339$450,000$3,629$0$0$No910,000$Lien
Will ButcherRocket (MTL)D251995-01-06No190 Lbs5 ft10NoNoNo1Pro & Farm3,775,000$30,444$3,775,000$30,444$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2426.25190 Lbs6 ft01.921,344,080$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin CzarnikAdam GaudetteRyan Carpenter35023
2Micheal FerlandLias AnderssonTroy Brouwer30023
3Marcus SorensenTrevor LewisSam Anas25122
4Jonah GadjovichAntti SuomelaSam Carrick10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnDakota Mermis35131
2Radim SimekJoel Hanley30131
3Lawrence PilutBrett Lernout25131
4Braydon CoburnDakota Mermis10131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin CzarnikAdam GaudetteRyan Carpenter60005
2Marcus SorensenTrevor LewisMicheal Ferland40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnJoel Hanley60032
2Radim SimekLawrence Pilut40041
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Adam GaudetteAustin Czarnik60050
2Ryan CarpenterTrevor Lewis40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnDakota Mermis60140
2Radim SimekLawrence Pilut40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Adam Gaudette60050Braydon CoburnDakota Mermis60050
2Austin Czarnik40050Radim SimekLawrence Pilut40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Adam GaudetteAustin Czarnik60122
2Ryan CarpenterTrevor Lewis40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Braydon CoburnDakota Mermis60122
2Radim SimekLawrence Pilut40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin CzarnikAdam GaudetteRyan CarpenterBraydon CoburnDakota Mermis
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin CzarnikAdam GaudetteRyan CarpenterBraydon CoburnDakota Mermis
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lias Andersson, Antti Suomela, Sam AnasLias Andersson, Antti SuomelaSam Anas
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dakota Mermis, Joel Hanley, Radim SimekRadim SimekDakota Mermis, Radim Simek
Tirs de Pénalité
Adam Gaudette, Austin Czarnik, Ryan Carpenter, Trevor Lewis, Marcus Sorensen
Gardien
#1 : Vitek Vanecek, #2 : Adam Wilcox


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
1Admirals2010000146-21000000134-11010000012-110.250481200705055153552347150566331116451616.25%7271.43%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
2Bruins944001001516-152200100810-24220000076190.5001529440170505515166523471505661594912217149816.33%48491.67%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
3Condors21100000853110000005141010000034-120.5008142200705055154852347150566328403711218.18%11281.82%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
4Crunch8320100223221420000021293412010001113-2100.62523426500705055151765234715056614731127176531018.87%53884.91%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
5Flames21000010734100000103211100000041341.000791600705055153652347150566299353614214.29%13192.31%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
6Griffins916010101929-1041300000813-5503010101116-560.3331934531070505515154523471505661945614413836513.89%611181.97%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
7IceHogs3110010011110210001009721010000024-230.500111728007050551557523471505666214444519315.79%17476.47%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
8Marlies84300010141134210001086242200000651100.625142438017050551514952347150566118361121314237.14%47589.36%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
9Monarchs2010010024-21010000012-11000010012-110.25024600705055153552347150566364283510110.00%14285.71%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
10Monsters30100020651200000205321010000012-140.6676814007050551552523471505664814385419315.79%19384.21%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
11Moose2020000014-31010000001-11010000013-200.0001230070505515205234715056638164040800.00%15193.33%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
12Penguins3020000126-42020000014-31000000112-110.1672460070505515425234715056643928571815.56%14378.57%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
13Phantoms3120000057-2110000004312020000014-320.333591400705055155552347150566541732521616.25%15286.67%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
14Rampage22000000523110000001011100000042241.000510150170505515495234715056632172740900.00%11190.91%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
15Senators824002002125-4421001001211140300100914-560.3752137580070505515152523471505661484710013939410.26%43783.72%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
16Sharks2020000018-71010000005-51010000013-200.0001120070505515275234715056634938316116.67%17382.35%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
17Soldiers22000000404110000002021100000020241.0004812027050551532523471505663011293910110.00%100100.00%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
18Sound Tigers541000001741321100000422330000001321180.80017294602705055158852347150566111409710230723.33%35391.43%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
19Stars22000000835110000005321100000030341.000813210170505515375234715056636817428225.00%6183.33%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
20Wolf Pack32000010835100000102112200000062461.0008132100705055156652347150566571636601119.09%16193.75%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
21Wolves20000011330100000102111000000112-130.7503470070505515415234715056635934191119.09%80100.00%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
Total82303302575184177741161300363958874114200221289890880.53718431950318705055151517523471505661476431118414894355713.10%4806486.67%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
_Since Last GM Reset82303302575184177741161300363958874114200221289890880.53718431950318705055151517523471505661476431118414894355713.10%4806486.67%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
_Vs Conference471718013531019832496002525549623812011014649-3520.5531011752760270505515894523471505668032286308762613312.64%2683487.31%01252227754.98%1186221653.52%589108954.09%2090145318935941012523
_Vs Division4213130131292103-112184002124849-12159011004454-10350.417921662581270505515797523471505667662196057552193013.70%2523586.11%01252227754.98%1186221653.52%589108954.09%2090145318935941012523

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8288L1184319503151714764311184148918
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8230332575184177
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41161303639588
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41142022128989
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4355713.10%4806486.67%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
5234715056670505515
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
1252227754.98%1186221653.52%589108954.09%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2090145318935941012523


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 - 2020-09-274Bruins4Rocket2LSommaire du Match
2 - 2020-09-2816Rocket2Senators4LSommaire du Match
4 - 2020-09-3024Senators3Rocket5WSommaire du Match
5 - 2020-10-0135Rocket2Marlies1WSommaire du Match
6 - 2020-10-0250Rocket2Griffins4LSommaire du Match
8 - 2020-10-0458Senators3Rocket2LXSommaire du Match
11 - 2020-10-0776Griffins4Rocket2LSommaire du Match
13 - 2020-10-0988Bruins2Rocket3WSommaire du Match
14 - 2020-10-1090Rocket3Griffins2WXSommaire du Match
16 - 2020-10-12101Rocket1Marlies2LSommaire du Match
18 - 2020-10-14112Rocket4Senators5LSommaire du Match
20 - 2020-10-16122Rocket4Crunch3WXSommaire du Match
21 - 2020-10-17130Marlies1Rocket2WSommaire du Match
22 - 2020-10-18142Rocket1Griffins4LSommaire du Match
23 - 2020-10-19153Griffins4Rocket2LSommaire du Match
25 - 2020-10-21166Marlies1Rocket2WSommaire du Match
26 - 2020-10-22174Rocket2Bruins0WSommaire du Match
28 - 2020-10-24194Senators1Rocket4WSommaire du Match
30 - 2020-10-26203Rampage0Rocket1WSommaire du Match
32 - 2020-10-28212Rocket3Sound Tigers0WSommaire du Match
34 - 2020-10-30228Marlies1Rocket2WXXSommaire du Match
36 - 2020-11-01237Rocket1Admirals2LSommaire du Match
38 - 2020-11-03250Rocket0Phantoms2LSommaire du Match
40 - 2020-11-05259Sharks5Rocket0LSommaire du Match
43 - 2020-11-08272Rocket2Senators3LXSommaire du Match
44 - 2020-11-09278Sound Tigers0Rocket3WSommaire du Match
45 - 2020-11-10292Griffins4Rocket2LSommaire du Match
46 - 2020-11-11299Rocket2Marlies0WSommaire du Match
47 - 2020-11-12307Rocket5Sound Tigers1WSommaire du Match
49 - 2020-11-14323Bruins1Rocket0LSommaire du Match
51 - 2020-11-16334Rocket2Wolf Pack1WSommaire du Match
52 - 2020-11-17344Rocket0Bruins1LSommaire du Match
53 - 2020-11-18352Penguins2Rocket0LSommaire du Match
54 - 2020-11-19366Wolves1Rocket2WXXSommaire du Match
56 - 2020-11-21379Rocket1Phantoms2LSommaire du Match
57 - 2020-11-22389IceHogs6Rocket5LXSommaire du Match
58 - 2020-11-23400Rocket2Crunch6LSommaire du Match
59 - 2020-11-24411Rocket4Bruins3WSommaire du Match
60 - 2020-11-25417Crunch2Rocket3WSommaire du Match
62 - 2020-11-27432Rocket1Bruins2LSommaire du Match
63 - 2020-11-28439Crunch3Rocket2LXXSommaire du Match
65 - 2020-11-30456Admirals4Rocket3LXXSommaire du Match
66 - 2020-12-01466Rocket3Condors4LSommaire du Match
68 - 2020-12-03477Phantoms3Rocket4WSommaire du Match
69 - 2020-12-04487Rocket4Wolf Pack1WSommaire du Match
71 - 2020-12-06498Wolf Pack1Rocket2WXXSommaire du Match
72 - 2020-12-07512Bruins1Rocket2WSommaire du Match
74 - 2020-12-09523Rocket1Crunch2LSommaire du Match
75 - 2020-12-10535Sound Tigers2Rocket1LSommaire du Match
77 - 2020-12-12550Rocket4Crunch2WSommaire du Match
78 - 2020-12-13557Senators4Rocket1LSommaire du Match
79 - 2020-12-14570Rocket1Penguins2LXXSommaire du Match
81 - 2020-12-16581Stars3Rocket5WSommaire du Match
82 - 2020-12-17590Rocket2Soldiers0WSommaire du Match
84 - 2020-12-19600Flames2Rocket3WXXSommaire du Match
85 - 2020-12-20608Rocket1Sharks3LSommaire du Match
86 - 2020-12-21620Rocket2IceHogs4LSommaire du Match
88 - 2020-12-23630IceHogs1Rocket4WSommaire du Match
90 - 2020-12-25643Rocket1Senators2LSommaire du Match
91 - 2020-12-26653Monarchs2Rocket1LSommaire du Match
93 - 2020-12-28665Rocket1Monsters2LSommaire du Match
94 - 2020-12-29675Condors1Rocket5WSommaire du Match
95 - 2020-12-30689Griffins1Rocket2WSommaire du Match
96 - 2020-12-31698Rocket4Griffins3WXXSommaire du Match
97 - 2021-01-01710Penguins2Rocket1LSommaire du Match
99 - 2021-01-03721Rocket4Flames1WSommaire du Match
100 - 2021-01-04730Rocket1Monarchs2LXSommaire du Match
102 - 2021-01-06743Moose1Rocket0LSommaire du Match
103 - 2021-01-07757Soldiers0Rocket2WSommaire du Match
105 - 2021-01-09770Rocket1Griffins3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10779Bruins2Rocket1LXSommaire du Match
108 - 2021-01-12794Crunch2Rocket1LXXSommaire du Match
109 - 2021-01-13802Rocket1Wolves2LXXSommaire du Match
111 - 2021-01-15817Marlies3Rocket2LSommaire du Match
113 - 2021-01-17834Rocket3Stars0WSommaire du Match
114 - 2021-01-18840Monsters2Rocket3WXXSommaire du Match
115 - 2021-01-19850Rocket1Marlies2LSommaire du Match
116 - 2021-01-20857Rocket4Rampage2WSommaire du Match
117 - 2021-01-21867Crunch2Rocket6WSommaire du Match
118 - 2021-01-22876Rocket5Sound Tigers1WSommaire du Match
121 - 2021-01-25888Monsters1Rocket2WXXSommaire du Match
122 - 2021-01-26899Rocket1Moose3LSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
4,651,821$ 3,225,792$ 2,820,209$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 3,015,108$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 39,321$ 39,321$




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