Monsters

GP: 78 | W: 55 | L: 19 | OTL: 4 | P: 114
GF: 312 | GA: 242 | PP%: 21.94% | PK%: 77.67%
DG: Paul-André Desrochers | Morale : 50 | Moyenne d'Équipe : 56
Prochain matchs #1222 vs Chill
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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 Moyen
1Colin WhiteXX100.006949838167708470647061575364640506402263,000,000$
2Matt MartinXX100.00996878748356785937565870257577050630304850,000$
3Nick PaulXX100.00856589718762786362616567255656050630244925,000$
4Brett SeneyXX100.00605670775682876379606258594949050610233782,500$
5Jesper Boqvist (R)X100.00764392866357706635506061754747050600204925,001$
6Carter VerhaegheX100.00705091646860815848596762255959050600241850,000$
7Dmytro TimashovX100.00825186676960755733595770255757050600231925,000$
8Jordan KyrouXX100.00614190816557716436646652254848050600212742,500$
9Otto KoivulaXX100.00754594668350765559505571254545050580212650,000$
10Joona KoppanenXX100.00787389637363655670505864554444050570212753,333$
11Marian StudenicX100.00696284606265685750506060574444050560202775,833$
12Haydn FleuryX100.007750947282636458285248727558590506302322,000,000$
13Caleb JonesX100.00724990677168796026514866755959050620222655,000$
14Carl DahlstromX100.00644390618668586234474670755959050610242825,000$
15Steven KampferX100.00804989687064566025524759256263050600314750,000$
16Adam ClendeningX100.00737358637164685625564462445556050590262900,000$
17Teemu Kivihalme (R)X100.00736786666769755025434160394444050570242650,000$
Rayé
1Oskar Steen (R)X100.00696577686566705468545059484444050560214809,168$
2Grant Mismash (R)X100.00514585666759754755434246445454050510204825,000$
3Linus Lindstrom (R)X100.00364040404935353640363640383230050370212650,000$
4Lucas CarlssonX100.00747084657073785425524262404444050590222792,500$
5Dominik MasinX100.00727366607375814925403963385252050580231725,000$
6Connor HobbsX100.00716875596958584925354062395353050550222730,000$
7Niklas Hansson (R)X100.00354343435333333543353543393230050380241700,000$
8Ziyat Paigin (R)X100.00333737377033333337333337353230050370242792,500$
MOYENNE D'ÉQUIPE100.0068557865706068554250506044515105057
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
1Calvin Petersen100.0059779670566450615756304444050590
2Filip Larsson (R)100.0044496171404250514445304444050480
Rayé
1Tyler Parsons (R)100.0042454467424141414141393230050430
MOYENNE D'ÉQUIPE100.004857676946494751474733403905050
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
1Colin WhiteMonsters (Col)C/RW743054841522053206327972059.17%9147319.9141721551970002993255.69%197000111.1428000691
2Brett SeneyMonsters (Col)C/LW781855731113535185220711978.18%17142918.3211516431930114732260.25%174600001.0222001332
3Nick PaulMonsters (Col)C/LW72324072143801461463149521110.19%17142019.7385135417200041337059.77%44000001.0147000364
4Jesper BoqvistMonsters (Col)LW7833356824180761793269724110.12%18157420.192023400002194232.20%11800010.8600000634
5Matt MartinMonsters (Col)LW/RW643134651152102211162746919811.31%26122319.11710174715120211897245.76%11800011.0600110557
6Haydn FleuryMonsters (Col)D77144963204401978715146989.27%125179223.2861016701860002165110.00%000100.7011000332
7Dmytro TimashovMonsters (Col)LW78283058173551661102789317910.07%24130016.6752718720006686133.04%11500000.8900001333
8Jordan KyrouMonsters (Col)C/RW78243054106035110272841888.82%5129316.59561141190000003140.38%10400010.8301000422
9Carter VerhaegheMonsters (Col)C7823264925115661522055415511.22%16119115.27000231014823346.53%139700010.8201001153
10Otto KoivulaMonsters (Col)LW/RW782524492012065992446514710.25%26145818.7064104018601101047448.23%14100000.6700000316
11Steven KampferMonsters (Col)D784343828560124388434624.76%89135717.411562480000092110.00%000000.5600000123
12Carl DahlstromMonsters (Col)D787243118260828211247766.25%113173822.29235341091124175110.00%000000.3600000201
13Lucas CarlssonMonsters (Col)D755263174715135548928635.62%102151020.1417830189000070000.00%000000.4100012110
14Adam ClendeningMonsters (Col)D503232635210141325816445.17%60100920.1805510111000190010.00%000000.5200101121
15Caleb JonesMonsters (Col)D3371522680423853143613.21%2772021.834152085000167110.00%000000.6100000102
16Teemu KivihalmeMonsters (Col)D6331922352555919467326.52%6997815.53000013000033010.00%000000.4500001100
17Joona KoppanenMonsters (Col)C/LW7891019122210406889257410.11%105657.25000020222662257.45%60400000.6717200101
18Marian StudenicMonsters (Col)RW78991816240392881247311.11%46077.7901104000001247.50%4000000.5900000001
19Grant MismashMonsters (Col)LW20033400468280.00%01829.1200000000000053.33%1500000.3300000000
20Nate ThompsonColoradoC/LW2022100737140.00%04723.9201105000040075.00%400000.8401000010
21Oskar SteenMonsters (Col)C2000000012010.00%084.1000001000000054.55%1100000.0000000000
22Dominik MasinMonsters (Col)D1000020001020.00%11616.600000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne13133055428472975136517331759324196922949.41%7582289917.4452921444911998459431439492754.01%682300250.741028427454643
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
1Calvin PetersenMonsters (Col)66461530.9143.0638596219722910200.77322660712
2Filip LarssonMonsters (Col)95200.9292.5844220192660011.0003573000
3Jon GilliesColorado74210.9103.2242800232550000.500270011
Stats d'équipe Total ou en Moyenne82551940.9153.0347308223928120210.778277873723


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 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 ClendeningMonsters (Col)D261992-10-26No196 Lbs6 ft0NoNoNo2Pro & Farm900,000$38,709$90,000$3,871$No900,000$Lien
Brett SeneyMonsters (Col)C/LW231996-02-28No156 Lbs5 ft9NoNoNo3Pro & Farm782,500$33,655$78,250$3,366$No782,500$782,500$Lien
Caleb JonesMonsters (Col)D221997-06-06No192 Lbs6 ft1NoNoNo2Pro & Farm655,000$28,172$655,000$28,172$No655,000$Lien
Calvin PetersenMonsters (Col)G241994-10-19No185 Lbs6 ft1NoNoNo2Pro & Farm850,000$36,559$85,000$3,656$No850,000$Lien
Carl DahlstromMonsters (Col)D241995-01-28No231 Lbs6 ft4NoNoNo2Pro & Farm825,000$35,483$82,500$3,548$No825,000$Lien
Carter VerhaegheMonsters (Col)C241995-08-14No181 Lbs6 ft1NoNoNo1Pro & Farm850,000$36,559$85,000$3,656$NoLien
Colin WhiteMonsters (Col)C/RW221997-01-30No183 Lbs6 ft0NoNoNo6Pro & Farm3,000,000$129,032$300,000$12,903$No3,000,000$3,000,000$3,000,000$3,000,000$3,000,000$Lien
Connor HobbsMonsters (Col)D221997-01-04No187 Lbs6 ft1NoNoNo2Pro & Farm730,000$31,397$73,000$3,140$No730,000$Lien
Dmytro TimashovMonsters (Col)LW231996-09-30No195 Lbs5 ft10NoNoNo1Pro & Farm925,000$39,784$92,500$3,978$NoLien
Dominik MasinMonsters (Col)D231996-01-31No198 Lbs6 ft2NoNoNo1Pro & Farm725,000$31,182$72,500$3,118$NoLien
Filip LarssonMonsters (Col)G211998-08-17Yes181 Lbs6 ft2NoNoNo3Pro & Farm836,666$35,985$83,667$3,599$No836,666$836,666$Lien
Grant MismashMonsters (Col)LW201999-02-19Yes186 Lbs6 ft0NoNoNo4Pro & Farm825,000$35,483$82,500$3,548$No825,000$825,000$825,000$Lien
Haydn FleuryMonsters (Col)D231996-07-08No221 Lbs6 ft3NoNoNo2Pro & Farm2,000,000$86,021$200,000$8,602$No2,000,000$Lien
Jesper BoqvistMonsters (Col)LW201998-10-30Yes174 Lbs5 ft11NoNoNo4Pro & Farm925,001$39,784$92,500$3,978$No925,001$925,001$925,001$Lien
Joona KoppanenMonsters (Col)C/LW211998-02-25No192 Lbs6 ft3NoNoNo2Pro & Farm753,333$32,401$75,333$3,240$No753,333$Lien
Jordan KyrouMonsters (Col)C/RW211998-05-05No175 Lbs6 ft0NoNoNo2Pro & Farm742,500$31,935$74,250$3,194$No742,500$Lien
Linus LindstromMonsters (Col)C211998-01-08Yes168 Lbs5 ft11NoNoNo2Pro & Farm650,000$27,956$65,000$2,796$No650,000$Lien
Lucas CarlssonMonsters (Col)D221997-07-05No190 Lbs6 ft0NoNoNo2Pro & Farm792,500$34,086$79,250$3,409$No792,500$Lien
Marian StudenicMonsters (Col)RW201998-10-28No163 Lbs6 ft1NoNoNo2Pro & Farm775,833$33,369$77,583$3,337$No775,833$Lien
Matt MartinMonsters (Col)LW/RW301989-05-08No220 Lbs6 ft3NoNoNo4Pro & Farm850,000$36,559$85,000$3,656$No850,000$850,000$850,000$Lien
Nick PaulMonsters (Col)C/LW241995-03-20No230 Lbs6 ft4YesNoNo4Pro & Farm925,000$39,784$92,500$3,978$No925,000$925,000$925,000$Lien
Niklas HanssonMonsters (Col)D241995-01-08Yes175 Lbs6 ft0NoNoNo1Pro & Farm700,000$30,107$70,000$3,011$NoLien
Oskar SteenMonsters (Col)C211998-03-09Yes187 Lbs5 ft9NoNoNo4Pro & Farm809,168$34,802$80,917$3,480$No809,168$809,168$809,168$Lien
Otto KoivulaMonsters (Col)LW/RW211998-10-01No220 Lbs6 ft4NoNoNo2Pro & Farm650,000$27,956$65,000$2,796$No650,000$Lien
Steven KampferMonsters (Col)D311988-09-24No195 Lbs5 ft11NoNoNo4Pro & Farm750,000$32,258$75,000$3,226$No750,000$750,000$750,000$Lien
Teemu KivihalmeMonsters (Col)D241995-06-14Yes181 Lbs6 ft0YesNoNo2Pro & Farm650,000$27,956$65,000$2,796$No650,000$Lien
Tyler ParsonsMonsters (Col)G221997-09-18Yes185 Lbs6 ft1NoNoNo2Pro & Farm742,500$31,935$74,250$3,194$No742,500$Lien
Ziyat PaiginMonsters (Col)D241995-02-08Yes209 Lbs6 ft6NoNoNo2Pro & Farm792,500$34,086$79,250$3,409$No792,500$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2822.96191 Lbs6 ft12.50907,589$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jesper BoqvistBrett SeneyMatt Martin40122
2Nick PaulColin WhiteOtto Koivula30122
3Dmytro TimashovCarter VerhaegheJordan Kyrou20122
4Jesper BoqvistJoona KoppanenMarian Studenic10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl DahlstromHaydn Fleury40122
2Adam ClendeningCaleb Jones30122
3Steven KampferTeemu Kivihalme20122
4Carl DahlstromHaydn Fleury10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt MartinColin WhiteOtto Koivula60122
2Jesper BoqvistBrett SeneyJordan Kyrou40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Haydn FleuryCarl Dahlstrom60122
2Adam ClendeningCaleb Jones40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brett SeneyOtto Koivula60122
2Joona KoppanenMatt Martin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl DahlstromHaydn Fleury60122
2Adam ClendeningSteven Kampfer40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Colin White60122Carl DahlstromHaydn Fleury60122
2Joona Koppanen40122Adam ClendeningSteven Kampfer40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Colin WhiteMatt Martin60122
2Brett SeneyJesper Boqvist40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl DahlstromHaydn Fleury60122
2Adam ClendeningSteven Kampfer40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brett SeneyColin WhiteMatt MartinCarl DahlstromSteven Kampfer
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dmytro TimashovColin WhiteMatt MartinCarl DahlstromHaydn Fleury
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dmytro Timashov, Jesper Boqvist, Carter VerhaegheDmytro Timashov, Jesper BoqvistCarter Verhaeghe
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Haydn Fleury, Steven Kampfer, Adam ClendeningHaydn FleurySteven Kampfer, Adam Clendening
Tirs de Pénalité
Colin White, Joona Koppanen, Carter Verhaeghe, Brett Seney, Jordan Kyrou
Gardien
#1 : Calvin Petersen, #2 : Filip Larsson


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
1Admirals3110001016133211000008621000001087140.6671628440010711186121251009107211325211830187911436.36%9188.89%11595286255.73%1392269151.73%713131754.14%2021143416955441018527
2Baby Hawks41200010121202020000047-32100001085340.5001220320010711186121531009107211325212238279320210.00%11463.64%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
3Bears2110000049-5110000003211010000017-620.5004711001071118612611009107211325292251039600.00%4250.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
4Bruins22000000862110000004311100000043141.00081422001071118612661009107211325267151029200.00%50100.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
5Cabaret Lady Mary Ann220000001147110000004311100000071641.00011213200107111861216310091072113252691710582150.00%50100.00%11595286255.73%1392269151.73%713131754.14%2021143416955441018527
6Caroline2110000057-21010000026-41100000031220.50058130010711186125810091072113252793440474125.00%14285.71%11595286255.73%1392269151.73%713131754.14%2021143416955441018527
7Chiefs430000101697220000007342100001096381.0001623390010711186121361009107211325213428198819421.05%6183.33%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
8Chill32100000111101010000024-22200000097240.667112132001071118612108100910721132521022714741417.14%7185.71%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
9Comets32100000981110000005232110000046-240.667917260010711186121171009107211325299288619222.22%4250.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
10Cougars2110000089-1110000005321010000036-320.50081220001071118612771009107211325282151250300.00%5260.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
11Crunch21000100871110000005321000010034-130.750814220010711186129310091072113252792410395240.00%5260.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
12Heat311010001211120101000810-21100000041340.6671222340010711186121511009107211325211024146610330.00%7271.43%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
13Jayhawks20100010810-2100000103211010000058-320.50081220001071118612881009107211325266186567457.14%3166.67%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
14Las Vegas321000001082110000004222110000066040.66710162600107111861210910091072113252973322531000.00%10190.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
15Manchots21100000871110000004221010000045-120.50081523001071118612661009107211325286222353200.00%9188.89%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
16Marlies201000106601010000045-11000001021120.50069150010711186129110091072113252531164510110.00%30100.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
17Minnesota5500000037172022000000141043300000023716101.00037681050110711186123341009107211325221546369912541.67%17664.71%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
18Monarchs311000011011-11010000034-12100000177030.500101828001071118612124100910721132521503928649222.22%14285.71%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
19Monsters211000009721010000024-21100000073420.5009172600107111861265100910721132527418104812325.00%5260.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
20Oceanics321000009631010000023-12200000073440.6679162500107111861297100910721132521093820647114.29%90100.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
21Oil Kings32100000121201010000025-322000000107340.667122133001071118612104100910721132521153521645120.00%8362.50%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
22Phantoms22000000853110000004221100000043141.000814220010711186126610091072113252732914644125.00%7185.71%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
23Rocket21100000743110000005141010000023-120.50071219001071118612741009107211325265236456116.67%3166.67%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
24Senators210000101064110000006331000001043141.0001015250010711186129210091072113252852715449222.22%5180.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
25Sharks32000001963220000008441000000112-150.8339162500107111861212810091072113252782836603133.33%7271.43%11595286255.73%1392269151.73%713131754.14%2021143416955441018527
26Sound Tigers21001000844100010003211100000052341.00081422001071118612781009107211325267139376233.33%20100.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
27Spiders22000000752110000002111100000054141.000712190010711186126410091072113252671512416116.67%5260.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
28Stars42100100151502110000067-12100010098150.6251525401010711186121761009107211325213835308118633.33%14657.14%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
29Thunder22000000725110000003031100000042241.00071219011071118612731009107211325259151847300.00%90100.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
Total784719022623122427037221202010139112274125700252173130431140.731312541853121071118612323810091072113252281376552517332375221.94%2154877.67%41595286255.73%1392269151.73%713131754.14%2021143416955441018527
30Wolf Pack220000001257110000007341100000052341.00012223400107111861210110091072113252631521453133.33%30100.00%01595286255.73%1392269151.73%713131754.14%2021143416955441018527
_Since Last GM Reset784719022623122427037221202010139112274125700252173130431140.731312541853121071118612323810091072113252281376552517332375221.94%2154877.67%41595286255.73%1392269151.73%713131754.14%2021143416955441018527
_Vs Conference412411012301701333719116010107464102213500220966927580.70717029146111107111861218331009107211325214703982619001303224.62%1123370.54%21595286255.73%1392269151.73%713131754.14%2021143416955441018527
_Vs Division236300200100703010410000035341132200200653629140.304100173273111071118612100410091072113252820212146499901921.11%641871.88%01595286255.73%1392269151.73%713131754.14%2021143416955441018527

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
78114W1031254185332382813765525173312
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7847192262312242
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3722122010139112
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412570252173130
Derniers 10 Matchs
WLOTWOTL SOWSOL
1000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2375221.94%2154877.67%4
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
100910721132521071118612
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
1595286255.73%1392269151.73%713131754.14%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2021143416955441018527


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
2 - 2020-10-2311Heat5Monsters6WXSommaire du Match
4 - 2020-10-2527Minnesota6Monsters7WSommaire du Match
9 - 2020-10-3056Bruins3Monsters4WSommaire du Match
11 - 2020-11-0172Jayhawks2Monsters3WXXSommaire du Match
13 - 2020-11-0383Monsters1Bears7LSommaire du Match
15 - 2020-11-0592Monsters4Manchots5LSommaire du Match
17 - 2020-11-07107Monsters7Cabaret Lady Mary Ann1WSommaire du Match
18 - 2020-11-08117Monsters4Thunder2WSommaire du Match
20 - 2020-11-10131Monsters4Chiefs2WSommaire du Match
24 - 2020-11-14155Monsters1Las Vegas3LSommaire du Match
25 - 2020-11-15168Admirals2Monsters5WSommaire du Match
29 - 2020-11-19192Cabaret Lady Mary Ann3Monsters4WSommaire du Match
31 - 2020-11-21201Stars3Monsters4WSommaire du Match
32 - 2020-11-22214Monsters5Jayhawks8LSommaire du Match
35 - 2020-11-25230Monsters4Stars5LXSommaire du Match
37 - 2020-11-27244Chill4Monsters2LSommaire du Match
39 - 2020-11-29260Monsters4Monsters2LSommaire du Match
42 - 2020-12-02276Monsters4Oceanics2WSommaire du Match
44 - 2020-12-04290Monsters5Oil Kings3WSommaire du Match
46 - 2020-12-06311Monsters2Comets5LSommaire du Match
49 - 2020-12-09328Monsters4Heat1WSommaire du Match
51 - 2020-12-11340Monsters9Minnesota4WSommaire du Match
53 - 2020-12-13351Marlies5Monsters4LSommaire du Match
57 - 2020-12-17387Oil Kings5Monsters2LSommaire du Match
59 - 2020-12-19394Monsters4Baby Hawks2WSommaire du Match
60 - 2020-12-20413Baby Hawks4Monsters2LSommaire du Match
64 - 2020-12-24434Monsters2Marlies1WXXSommaire du Match
65 - 2020-12-25439Monsters2Rocket3LSommaire du Match
67 - 2020-12-27455Monsters4Bruins3WSommaire du Match
69 - 2020-12-29471Heat5Monsters2LSommaire du Match
71 - 2020-12-31486Phantoms2Monsters4WSommaire du Match
73 - 2021-01-02500Spiders1Monsters2WSommaire du Match
76 - 2021-01-05522Monsters5Chiefs4WXXSommaire du Match
78 - 2021-01-07536Monsters4Baby Hawks3WXXSommaire du Match
79 - 2021-01-08544Caroline6Monsters2LSommaire du Match
81 - 2021-01-10562Baby Hawks3Monsters2LSommaire du Match
83 - 2021-01-12580Monsters5Las Vegas3WSommaire du Match
87 - 2021-01-16586Minnesota4Monsters7WSommaire du Match
88 - 2021-01-17593Monsters5Stars3WSommaire du Match
91 - 2021-01-20621Oceanics3Monsters2LSommaire du Match
93 - 2021-01-22634Chiefs2Monsters3WSommaire du Match
95 - 2021-01-24649Monsters5Spiders4WSommaire du Match
97 - 2021-01-26661Monsters5Sound Tigers2WSommaire du Match
98 - 2021-01-27666Monsters5Wolf Pack2WSommaire du Match
101 - 2021-01-30691Manchots2Monsters4WSommaire du Match
105 - 2021-02-03722Stars4Monsters2LSommaire du Match
107 - 2021-02-05738Sharks2Monsters4WSommaire du Match
109 - 2021-02-07744Chiefs1Monsters4WSommaire du Match
111 - 2021-02-09759Cougars3Monsters5WSommaire du Match
123 - 2021-02-21799Monsters4Phantoms3WSommaire du Match
126 - 2021-02-24813Monsters3Crunch4LXSommaire du Match
128 - 2021-02-26833Monsters4Senators3WXXSommaire du Match
130 - 2021-02-28851Monsters7Monsters3WSommaire du Match
131 - 2021-03-01859Monsters8Minnesota0WSommaire du Match
133 - 2021-03-03874Senators3Monsters6WSommaire du Match
135 - 2021-03-05888Bears2Monsters3WSommaire du Match
137 - 2021-03-07902Monarchs4Monsters3LSommaire du Match
139 - 2021-03-09919Thunder0Monsters3WSommaire du Match
141 - 2021-03-11931Sound Tigers2Monsters3WXSommaire du Match
143 - 2021-03-13947Monsters8Admirals7WXXSommaire du Match
144 - 2021-03-14958Monsters3Monarchs4LXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
148 - 2021-03-18981Crunch3Monsters5WSommaire du Match
150 - 2021-03-20996Monsters3Caroline1WSommaire du Match
151 - 2021-03-211008Monsters4Chill3WSommaire du Match
153 - 2021-03-231017Monsters3Cougars6LSommaire du Match
155 - 2021-03-251031Admirals4Monsters3LSommaire du Match
157 - 2021-03-271047Monsters2Comets1WSommaire du Match
159 - 2021-03-291065Monsters1Sharks2LXXSommaire du Match
160 - 2021-03-301069Monsters4Monarchs3WSommaire du Match
162 - 2021-04-011081Wolf Pack3Monsters7WSommaire du Match
164 - 2021-04-031096Comets2Monsters5WSommaire du Match
166 - 2021-04-051110Las Vegas2Monsters4WSommaire du Match
168 - 2021-04-071129Sharks2Monsters4WSommaire du Match
170 - 2021-04-091142Monsters5Chill4WSommaire du Match
172 - 2021-04-111154Rocket1Monsters5WSommaire du Match
174 - 2021-04-131172Monsters6Minnesota3WSommaire du Match
176 - 2021-04-151188Monsters5Oil Kings4WSommaire du Match
178 - 2021-04-171201Monsters3Oceanics1WSommaire du Match
180 - 2021-04-191222Chill-Monsters-
182 - 2021-04-211235Jayhawks-Monsters-
184 - 2021-04-231251Oceanics-Monsters-
186 - 2021-04-251258Chiefs-Monsters-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance70,98735,622
Assistance PCT95.93%96.28%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
4 2881 - 96.04% 81,591$3,018,875$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,362,723$ 3,130,750$ 3,130,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
16,832$ 2,362,925$ 28 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
326,365$ 8 16,832$ 134,656$




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