Minnesota

GP: 78 | W: 13 | L: 63 | OTL: 2 | P: 28
GF: 248 | GA: 454 | PP%: 20.90% | PK%: 75.89%
DG: Fred Villiard | Morale : 50 | Moyenne d'Équipe : 52
Prochain matchs #1220 vs Chiefs
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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
1Chase De LeoX100.00766790626575775771565764555454050590232600,000$
2Kristian VesalainenXX100.00827794627771745950565867554444050590203925,000$
3J.T. BrownXX100.00706078666068795760525461516871050580296700,000$
4Philipp Kurashev (R)X100.00777092667064665974575764544444050580194842,501$
5Anthony LouisXX100.00665591655373775670525661555555050570244560,000$
6Evgeny Svechnikov (R)XX100.00757967687952515850545863554444050570221925,000$
7Pavel Shen (R)X100.00766896656855575063474862464444050540204809,169$
8Santeri Virtanen (R)X100.00534993657459744855365147545454050510204650,000$
9Travis DermottX100.00795284827872776025514868255859050650221825,000$
10Brandon ManningX100.007674686778615959374941673765660506102961,500,000$
11Oliver KylingtonX100.00694590796763715925484763255555050610221700,000$
12Evan Bouchard (R)X100.00757378667365675825554663444444050590193925,000$
13Yegor Rykov (R)X100.00817692647656585125474164394444050570221925,001$
14Bobby Nardella (R)X100.00696186636159605825604260404444050560232825,000$
15Filip Westerlund (R)X100.00474192666566924325433645385454050530204825,000$
16Victor Berglund (R)X100.00504484666666924325374147435454050530204818,333$
Rayé
1Julius Vahatalo (R)X100.00313737376729293137313137333230050350242560,000$
2Mathias From (R)XX100.00333737374633333337333337353230050350212525,000$
3Bryce Van BrabantX100.00288535357125352935292935433532050340275650,000$
4Kasper Kotkansalo (R)X100.00555180627253743625362948305858050510204700,000$
5Filip Berglund (R)X100.00364040406935353640363640383230050390222650,000$
6Miles Gendron (R)X100.00354343435633333543353543393230050390231560,000$
MOYENNE D'ÉQUIPE100.0061587560685662494245445542484705052
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
1Joey Daccord (R)100.0060607577626455646160304444050600
2Tyler Bunz100.0039454176373535353550483532050420
Rayé
MOYENNE D'ÉQUIPE100.005053587750504550485539403805051
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
1Evgeny SvechnikovMinnesota (Min)LW/RW78633598-48771534423554914640411.48%147148919.091462065120000085243.42%15200041.32121111062
Stats d'équipe Total ou en Moyenne78633598-48771534423554914640411.48%147148919.091462065120000085243.42%15200041.32121111062
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'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
Anthony LouisMinnesota (Min)C/LW241995-02-10No151 Lbs5 ft7NoNoNo4Pro & Farm560,000$21,075$56,000$2,108$No560,000$560,000$560,000$Lien
Bobby NardellaMinnesota (Min)D231996-04-22Yes174 Lbs5 ft9NoNoNo2Pro & Farm825,000$31,048$82,500$3,105$No825,000$Lien
Brandon ManningMinnesota (Min)D291990-06-03No205 Lbs6 ft1NoNoNo6Pro & Farm1,500,000$56,451$150,000$5,645$No1,500,000$1,500,000$1,500,000$1,500,000$1,500,000$Lien
Bryce Van BrabantMinnesota (Min)LW271991-11-12No205 Lbs6 ft2NoNoNo5Pro & Farm650,000$24,462$65,000$2,446$No650,000$650,000$650,000$650,000$Lien
Chase De LeoMinnesota (Min)C231995-10-25No185 Lbs5 ft9NoNoNo2Pro & Farm600,000$22,580$60,000$2,258$No600,000$Lien
Evan BouchardMinnesota (Min)D191999-10-20Yes194 Lbs6 ft3NoNoNo3Pro & Farm925,000$34,811$92,500$3,481$No925,000$925,000$Lien
Evgeny SvechnikovMinnesota (Min)LW/RW221996-10-31Yes212 Lbs6 ft3NoNoNo1Pro & Farm925,000$34,811$92,500$3,481$NoLien
Filip BerglundMinnesota (Min)D221997-05-10Yes209 Lbs6 ft3NoNoNo2Pro & Farm650,000$24,462$65,000$2,446$No650,000$Lien
Filip WesterlundMinnesota (Min)D201999-04-17Yes181 Lbs5 ft11NoNoNo4Pro & Farm825,000$31,048$82,500$3,105$No825,000$825,000$825,000$Lien
J.T. BrownMinnesota (Min)C/RW291990-07-02No169 Lbs5 ft10NoNoNo6Pro & Farm700,000$26,344$70,000$2,634$No700,000$700,000$700,000$700,000$700,000$Lien
Joey DaccordMinnesota (Min)G231996-08-19Yes196 Lbs6 ft2NoNoNo5Pro & Farm1,500,000$56,451$150,000$5,645$No1,500,000$1,500,000$1,500,000$1,500,000$Lien
Julius VahataloMinnesota (Min)LW241995-05-23Yes191 Lbs6 ft5NoNoNo2Pro & Farm560,000$21,075$56,000$2,108$No560,000$Lien
Kasper KotkansaloMinnesota (Min)D201998-11-16Yes198 Lbs6 ft2NoNoNo4Pro & Farm700,000$26,344$70,000$2,634$No700,000$700,000$700,000$Lien
Kristian VesalainenMinnesota (Min)LW/RW201999-06-01No207 Lbs6 ft3NoNoNo3Pro & Farm925,000$34,811$92,500$3,481$No925,000$925,000$Lien
Mathias FromMinnesota (Min)LW/RW211997-12-16Yes161 Lbs6 ft0NoNoNo2Pro & Farm525,000$19,758$52,500$1,976$No525,000$Lien
Miles GendronMinnesota (Min)D231996-06-28Yes181 Lbs6 ft1NoNoNo1Pro & Farm560,000$21,075$56,000$2,108$NoLien
Oliver KylingtonMinnesota (Min)D221997-05-19No183 Lbs6 ft0NoNoNo1Pro & Farm700,000$26,344$70,000$2,634$NoLien
Pavel ShenMinnesota (Min)C201999-08-14Yes183 Lbs6 ft1NoNoNo4Pro & Farm809,169$30,452$80,917$3,045$No809,169$809,169$809,169$Lien
Philipp KurashevMinnesota (Min)C191999-10-12Yes192 Lbs6 ft0NoNoNo4Pro & Farm842,501$31,707$84,250$3,171$No842,501$842,501$842,501$Lien
Santeri VirtanenMinnesota (Min)C201999-05-11Yes203 Lbs6 ft2NoNoNo4Pro & Farm650,000$24,462$65,000$2,446$No650,000$650,000$650,000$Lien
Travis DermottMinnesota (Min)D221996-12-21No215 Lbs6 ft0NoNoNo1Pro & Farm825,000$31,048$82,500$3,105$NoLien
Tyler BunzMinnesota (Min)G271992-02-11No205 Lbs6 ft1NoNoNo5Pro & Farm1,000,000$37,634$100,000$3,763$No1,000,000$1,000,000$1,000,000$1,000,000$Lien
Victor BerglundMinnesota (Min)D201999-08-02Yes181 Lbs6 ft0NoNoNo4Pro & Farm818,333$30,797$81,833$3,080$No818,333$818,333$818,333$Lien
Yegor RykovMinnesota (Min)D221997-04-14Yes205 Lbs6 ft2NoNoNo1Pro & Farm925,001$34,811$92,500$3,481$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2422.54191 Lbs6 ft13.17812,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgeny Svechnikov40122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgeny Svechnikov60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Evgeny Svechnikov40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Evgeny Svechnikov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evgeny Svechnikov
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evgeny Svechnikov
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , Evgeny Svechnikov, ,
Gardien
#1 : , #2 :


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
1Admirals30300000418-141010000013-220200000315-1200.00047110092827089710281025106632203671454600.00%8187.50%0785264229.71%1112359530.93%444144030.83%12268052547588930384
2Baby Hawks403000011020-1020200000411-72010000169-310.1251020300092827081461028102510663228080129214428.57%6266.67%0785264229.71%1112359530.93%444144030.83%12268052547588930384
3Bears1010000037-41010000037-40000000000000.00036900928270852102810251066327024434300.00%2150.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
4Bruins20200000514-91010000038-51010000026-400.00059140092827085810281025106632115354434125.00%2150.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
5Cabaret Lady Mary Ann2110000012111110000007431010000057-220.50012243600928270814110281025106632142372682150.00%10100.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
6Caroline201000101012-2100000106511010000047-320.50010142400928270882102810251066321303317467114.29%6266.67%0785264229.71%1112359530.93%444144030.83%12268052547588930384
7Chiefs30300000522-1720200000415-111010000017-600.00059140092827088910281025106632195591069400.00%50100.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
8Chill40400000626-2020200000114-1320200000512-700.000611170092827081671028102510663228179161151119.09%7271.43%0785264229.71%1112359530.93%444144030.83%12268052547588930384
9Comets31200000814-62110000078-11010000016-520.33381624009282708111102810251066321595512508225.00%6266.67%0785264229.71%1112359530.93%444144030.83%12268052547588930384
10Cougars20200000614-81010000026-41010000048-400.0006111700928270859102810251066321253110302150.00%4175.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
11Crunch20200000912-31010000046-21010000056-100.000917261092827089610281025106632125421333200.00%4175.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
12Heat320000102216621000010151141100000075261.00022406200928270815410281025106632158468679444.44%20100.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
13Jayhawks30201000918-91010000035-220101000613-720.333917260092827081081028102510663222461465500.00%20100.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
14Las Vegas30300000616-1020200000510-51010000016-500.000611170092827089510281025106632199571849200.00%9277.78%0785264229.71%1112359530.93%444144030.83%12268052547588930384
15Manchots20200000813-51010000057-21010000036-300.0008162400928270894102810251066321504818464125.00%9277.78%0785264229.71%1112359530.93%444144030.83%12268052547588930384
16Marlies20200000111-101010000017-61010000004-400.000123009282708591028102510663210532835500.00%4250.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
17Monarchs303000001118-71010000067-120200000511-600.000112233009282708169102810251066322246912787228.57%60100.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
18Monsters20200000611-51010000025-31010000046-200.00061218009282708641028102510663210538950700.00%2150.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
19Monsters505000001737-2030300000723-16202000001014-400.00017294600928270821510281025106632334982610717635.29%12558.33%0785264229.71%1112359530.93%444144030.83%12268052547588930384
20Oceanics40400000921-1220200000713-62020000028-600.000918270092827081131028102510663228379238215320.00%9188.89%0785264229.71%1112359530.93%444144030.83%12268052547588930384
21Oil Kings303000001219-720200000913-41010000036-300.000122234009282708118102810251066322005227607571.43%50100.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
22Phantoms20200000214-121010000026-41010000008-800.000246009282708571028102510663213237959300.00%2150.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
23Rocket2110000079-2110000006421010000015-420.500712190092827088510281025106632117341637500.00%7185.71%0785264229.71%1112359530.93%444144030.83%12268052547588930384
24Senators20100100911-21010000045-11000010056-110.2509172600928270890102810251066321623343310440.00%20100.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
25Sharks30300000713-61010000024-22020000059-400.000713200092827081351028102510663212843126212216.67%5340.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
26Sound Tigers1010000046-21010000046-20000000000000.000471100928270853102810251066324811224400.00%10100.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
27Spiders21100000910-11010000036-31100000064220.500918270092827087610281025106632120342405240.00%110.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
28Stars413000001224-1221100000810-220200000414-1020.250122436009282708168102810251066322638514781119.09%7271.43%0785264229.71%1112359530.93%444144030.83%12268052547588930384
29Thunder21000010853100000103211100000053241.0008142200928270890102810251066329426650400.00%30100.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
Total7896301131248454-2064163200030140236-963733101101108218-110280.1792484637111092827083136102810251066324959145433616872014220.90%1413475.89%0785264229.71%1112359530.93%444144030.83%12268052547588930384
30Wolf Pack211000001112-1110000006511010000057-220.500112132009282708951028102510663288294316116.67%20100.00%0785264229.71%1112359530.93%444144030.83%12268052547588930384
_Since Last GM Reset7896301131248454-2064163200030140236-963733101101108218-110280.1792484637111092827083136102810251066324959145433616872014220.90%1413475.89%0785264229.71%1112359530.93%444144030.83%12268052547588930384
_Vs Conference4163101021145244-99235160002087131-44181150100158113-55190.2321452664111092827081667102810251066322651770189851952526.32%761876.32%0785264229.71%1112359530.93%444144030.83%12268052547588930384
_Vs Division240110000179132-531207000004861-131204000013171-4010.02179148227009282708987102810251066321495450107485561526.79%43881.40%0785264229.71%1112359530.93%444144030.83%12268052547588930384

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7828L21248463711313649591454336168710
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
789631131248454
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
416320030140236
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
373311101108218
Derniers 10 Matchs
WLOTWOTL SOWSOL
0100000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2014220.90%1413475.89%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
102810251066329282708
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
785264229.71%1112359530.93%444144030.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12268052547588930384


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 - 2020-10-239Minnesota4Chill8LSommaire du Match
4 - 2020-10-2527Minnesota6Monsters7LSommaire du Match
9 - 2020-10-3053Minnesota1Oceanics5LSommaire du Match
11 - 2020-11-0171Manchots7Minnesota5LSommaire du Match
13 - 2020-11-0379Minnesota5Senators6LXSommaire du Match
14 - 2020-11-0485Minnesota0Marlies4LSommaire du Match
16 - 2020-11-0699Minnesota1Rocket5LSommaire du Match
19 - 2020-11-09125Rocket4Minnesota6WSommaire du Match
21 - 2020-11-11139Oil Kings7Minnesota5LSommaire du Match
23 - 2020-11-13150Minnesota1Chill4LSommaire du Match
25 - 2020-11-15167Monarchs7Minnesota6LSommaire du Match
28 - 2020-11-18186Minnesota2Stars7LSommaire du Match
29 - 2020-11-19190Minnesota1Chiefs7LSommaire du Match
32 - 2020-11-22213Chiefs8Minnesota2LSommaire du Match
35 - 2020-11-25233Minnesota1Admirals7LSommaire du Match
37 - 2020-11-27247Minnesota2Sharks4LSommaire du Match
39 - 2020-11-29259Minnesota5Jayhawks4WXSommaire du Match
42 - 2020-12-02279Minnesota3Monarchs5LSommaire du Match
44 - 2020-12-04289Jayhawks5Minnesota3LSommaire du Match
46 - 2020-12-06299Caroline5Minnesota6WXXSommaire du Match
49 - 2020-12-09318Minnesota5Crunch6LSommaire du Match
51 - 2020-12-11340Monsters9Minnesota4LSommaire du Match
53 - 2020-12-13353Minnesota2Bruins6LSommaire du Match
55 - 2020-12-15366Minnesota5Wolf Pack7LSommaire du Match
56 - 2020-12-16375Minnesota6Spiders4WSommaire du Match
59 - 2020-12-19395Senators5Minnesota4LSommaire du Match
61 - 2020-12-21416Stars3Minnesota4WSommaire du Match
63 - 2020-12-23426Minnesota5Cabaret Lady Mary Ann7LSommaire du Match
65 - 2020-12-25440Minnesota5Thunder3WSommaire du Match
67 - 2020-12-27459Minnesota4Caroline7LSommaire du Match
70 - 2020-12-30476Admirals3Minnesota1LSommaire du Match
72 - 2021-01-01493Oil Kings6Minnesota4LSommaire du Match
74 - 2021-01-03507Phantoms6Minnesota2LSommaire du Match
75 - 2021-01-04516Minnesota2Baby Hawks3LXXSommaire du Match
77 - 2021-01-06533Minnesota1Las Vegas6LSommaire du Match
79 - 2021-01-08546Minnesota1Jayhawks9LSommaire du Match
81 - 2021-01-10554Oceanics5Minnesota3LSommaire du Match
83 - 2021-01-12570Heat5Minnesota8WSommaire du Match
87 - 2021-01-16586Minnesota4Monsters7LSommaire du Match
89 - 2021-01-18605Sound Tigers6Minnesota4LSommaire du Match
91 - 2021-01-20616Marlies7Minnesota1LSommaire du Match
95 - 2021-01-24643Oceanics8Minnesota4LSommaire du Match
96 - 2021-01-25656Heat6Minnesota7WXXSommaire du Match
100 - 2021-01-29685Minnesota7Heat5WSommaire du Match
103 - 2021-02-01704Comets6Minnesota3LSommaire du Match
105 - 2021-02-03718Minnesota3Manchots6LSommaire du Match
107 - 2021-02-05736Thunder2Minnesota3WXXSommaire du Match
109 - 2021-02-07753Stars7Minnesota4LSommaire du Match
111 - 2021-02-09760Cabaret Lady Mary Ann4Minnesota7WSommaire du Match
113 - 2021-02-11767Cougars6Minnesota2LSommaire du Match
123 - 2021-02-21802Bruins8Minnesota3LSommaire du Match
126 - 2021-02-24821Baby Hawks6Minnesota2LSommaire du Match
128 - 2021-02-26835Comets2Minnesota4WSommaire du Match
129 - 2021-02-27842Minnesota2Stars7LSommaire du Match
131 - 2021-03-01859Monsters8Minnesota0LSommaire du Match
133 - 2021-03-03871Las Vegas5Minnesota3LSommaire du Match
135 - 2021-03-05887Wolf Pack5Minnesota6WSommaire du Match
137 - 2021-03-07899Sharks4Minnesota2LSommaire du Match
141 - 2021-03-11932Minnesota1Comets6LSommaire du Match
143 - 2021-03-13946Minnesota3Oil Kings6LSommaire du Match
145 - 2021-03-15964Chiefs7Minnesota2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17978Monsters5Minnesota2LSommaire du Match
149 - 2021-03-19989Minnesota4Cougars8LSommaire du Match
150 - 2021-03-20995Minnesota4Monsters6LSommaire du Match
152 - 2021-03-221014Bears7Minnesota3LSommaire du Match
154 - 2021-03-241023Chill8Minnesota1LSommaire du Match
156 - 2021-03-261042Minnesota3Sharks5LSommaire du Match
158 - 2021-03-281052Minnesota2Monarchs6LSommaire du Match
159 - 2021-03-291063Minnesota2Admirals8LSommaire du Match
163 - 2021-04-021089Las Vegas5Minnesota2LSommaire du Match
165 - 2021-04-041098Minnesota0Phantoms8LSommaire du Match
166 - 2021-04-051116Chill6Minnesota0LSommaire du Match
168 - 2021-04-071127Baby Hawks5Minnesota2LSommaire du Match
170 - 2021-04-091143Minnesota4Baby Hawks6LSommaire du Match
171 - 2021-04-101148Minnesota1Oceanics3LSommaire du Match
174 - 2021-04-131172Monsters6Minnesota3LSommaire du Match
177 - 2021-04-161198Spiders6Minnesota3LSommaire du Match
179 - 2021-04-181213Crunch6Minnesota4LSommaire du Match
180 - 2021-04-191220Minnesota-Chiefs-
182 - 2021-04-211229Minnesota-Sound Tigers-
184 - 2021-04-231248Minnesota-Bears-
186 - 2021-04-251267Minnesota-Chill-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance77,60039,678
Assistance PCT94.63%96.78%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2860 - 95.35% 80,760$3,311,170$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,204,994$ 1,950,000$ 1,950,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
10,484$ 2,204,994$ 24 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 7 10,484$ 73,388$




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