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Minnesota
GP: 82 | W: 34 | L: 41 | OTL: 7 | P: 75
GF: 247 | GA: 277 | PP%: 20.23% | PK%: 79.69%
DG: Fred Villiard | Morale : 50 | Moyenne d’équipe : 53
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Centre de jeu
Oceanics
47-26-9, 103pts
2
FINAL
1 Minnesota
34-41-7, 75pts
Team Stats
W2StreakL4
26-13-2Home Record22-17-2
21-13-7Away Record12-24-5
6-3-1Last 10 Games3-6-1
3.68Buts par match 3.01
3.49Buts contre par match 3.38
24.05%Pourcentage en avantage numérique20.23%
81.07%Pourcentage en désavantage numérique79.69%
Minnesota
34-41-7, 75pts
5
FINAL
8 Chill
32-44-6, 70pts
Team Stats
L4StreakW1
22-17-2Home Record21-19-1
12-24-5Away Record11-25-5
3-6-1Last 10 Games4-4-2
3.01Buts par match 3.54
3.38Buts contre par match 4.13
20.23%Pourcentage en avantage numérique17.00%
79.69%Pourcentage en désavantage numérique76.06%
Meneurs d'équipe
Buts
Jesse Ylonen
62
Passes
Henrik Rybinski
63
Points
Jesse Ylonen
114
Plus/Moins
Kristian Vesalainen
8
Victoires
Maxime Lagace
34
Pourcentage d’arrêts
Jack LaFontaine
0.939

Statistiques d’équipe
Buts pour
247
3.01 GFG
Tirs pour
2848
34.73 Avg
Pourcentage en avantage numérique
20.2%
52 GF
Début de zone offensive
37.0%
Buts contre
277
3.38 GAA
Tirs contre
3389
41.33 Avg
Pourcentage en désavantage numérique
79.7%%
39 GA
Début de la zone défensive
44.4%
Informations de l'équipe

Directeur généralFred Villiard
DivisionMid-Ouest
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,882
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure21
Limite contact 42 / 50
Espoirs32


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
1Jesse Ylonen (R)X100.00634195666959746825666661254545050600223880,833$
2Kristian VesalainenXX100.00794596747752705725525661255253050580221925,000$
3Brayden Tracey (R)X100.00696579706557576150595861554444050570203560,000$
4Henrik Rybinski (R)X100.00474299696870875762554946515454050560204859,167$
5Emilio Pettersen (R)XX100.00706289636253535670505860554444050550213903,333$
6Pavel ShenX100.00757589646852485268504765434444050540222809,169$
7Serron Noel (R)X100.00788268638255575150514663444444050540213894,167$
8Mikhail Abramov (R)X100.00706190636155555569574860464444050540204809,444$
9Alexander Khovanov (R)X100.00716977626941395063484659444444050510213792,500$
10Patrik Puistola (R)X100.00464099666667944550334842505454050510204700,000$
11Dmitry Zavgorodniy (R)XXX100.00696189626137354759444457424444050490213780,000$
12Santeri Virtanen (R)X100.00474991637451644453324547505454050480222650,000$
13Victor Berglund (R)X100.00726881636848485225434660444444050540222818,333$
14Peter DiLiberatore (R)X100.00696872656854555125474158394444050540213800,000$
15Michael Krutil (R)X100.00767689587647494425353662364444050530193800,000$
16Filip Westerlund (R)X100.00434190646557793925383245365454050500222825,000$
17Kasper Kotkansalo (R)X100.00495178607246643225322648285858050490222700,000$
Rayé
1Nikolai Kovalenko (R)X100.00464289656556754049304142455454050470213560,000$
MOYENNE D’ÉQUIPE100.0063588764695361504546465542484805053
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 SPÂgeContratSalaire moyen
1Maxime Lagace100.0057445575606163656665304444050590282950,000$
2Jack LaFontaine (R)100.0046405082464851535151304444050510231800,000$
Rayé
1Max Paddock (R)100.0042545265394341413840405046050450213560,000$
MOYENNE D’ÉQUIPE100.004846527448515253525233464505052
Nom de l’entraîneur 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
1Jesse YlonenMinnesota (Min)RW82625211461206022246613531913.30%46189023.0620143466203112417812430.94%50100021.2109000795
2Kristian VesalainenMinnesota (Min)LW/RW7136518783601771573048422611.84%34146520.641016266117801161306133.59%13100021.1917000664
3Henrik RybinskiMinnesota (Min)C821363763006197189591406.88%10165720.21221232821800011043052.74%213300000.9204000231
4Emilio PettersenMinnesota (Min)C/LW82184260-278052257292932326.16%29154518.8531013331700000212255.40%194400000.7801000203
5Brayden TraceyMinnesota (Min)LW82282957-30160851973791152697.39%36168220.5258136219400051032143.12%21800000.6839000213
6Serron NoelMinnesota (Min)RW79223355-256525205126264661848.33%38148618.82571238178000020341.73%13900000.7400302233
7Mikhail AbramovMinnesota (Min)C82162743-104410142237229631486.99%53135616.5410118490000252352.37%132700000.6300002133
8Peter DiLiberatoreMinnesota (Min)D8242933-63401917510430583.85%126183022.32066402031012145000.00%000000.3600000123
9Dmitry ZavgorodniyMinnesota (Min)C/LW/RW8291827-14260104115164501255.49%24130315.900006350001632250.67%15000000.4100000000
10Patrik PuistolaMinnesota (Min)LW82101323-2100116410839629.26%9132816.200222250001381144.80%12500000.3501000021
11Pavel ShenMinnesota (Min)C27714212235486865154410.77%442615.792136440000141050.45%33500000.9812010111
12Alexander KhovanovMinnesota (Min)C8231720-13515164765929425.08%6696111.730115170000100047.92%14400000.4200010201
13Hunter SkinnerMinnesotaD5521113-1746096405119363.92%102120521.9221320134000198010.00%100000.2200000001
14Josh LeivoMinnesotaLW/RW16571279548245815368.62%224115.12112314000002037.50%1600000.9900010010
15Santeri VirtanenMinnesota (Min)C773811-1110013161371323.08%5586511.24000140000110050.00%2200000.2511000000
16Filip WesterlundMinnesota (Min)D822810-1433560273117236.45%86164720.09000111680002125100.00%100000.1200000100
17Michael KrutilMinnesota (Min)D272810-4804618293196.90%5055320.491121261011045010.00%000000.3600000002
18Victor BerglundMinnesota (Min)D16347-80027121561420.00%2534521.57112638000028000.00%000000.4100000101
19Kasper KotkansaloMinnesota (Min)D82156-8575157203115223.23%114157419.2000071290000105000.00%000000.0800100000
20Connor McMichaelMinnesotaC/LW3145-22048741214.29%16622.1904437000140045.05%9100001.5000000010
21Joey AndersonMinnesotaRW11120003482412.50%12424.4501112000030062.50%800001.6400000000
22Nikolai KovalenkoMinnesota (Min)RW64101-200612172135.88%42523.9500003000000050.00%1200000.0800000000
Statistiques d’équipe totales ou en moyenne1338249444693-1864806017051972288386820418.64%9152371117.7253951484292086235241262341950.52%729800040.58634434283232
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
1Maxime LagaceMinnesota (Min)82344170.9203.2548938126533220410.66733820945
2Jack LaFontaineMinnesota (Min)20000.9393.2474004660000.00%0082000
Statistiques d’équipe totales ou en moyenne84344170.9213.254967812693388041338282945


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 moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexander KhovanovMinnesota (Min)C212000-04-12Yes198 Lbs5 ft10NoNoNo3Pro & Farm792,500$0$0$No792,500$792,500$Lien
Brayden TraceyMinnesota (Min)LW202001-05-28Yes176 Lbs6 ft0NoNoNo3Pro & Farm560,000$0$0$No560,000$560,000$Lien
Dmitry ZavgorodniyMinnesota (Min)C/LW/RW212000-08-11Yes173 Lbs5 ft9NoNoNo3Pro & Farm780,000$0$0$No780,000$780,000$Lien
Emilio PettersenMinnesota (Min)C/LW212000-03-03Yes170 Lbs5 ft10NoNoNo3Pro & Farm903,333$0$0$No903,333$903,333$Lien
Filip WesterlundMinnesota (Min)D221999-04-17Yes181 Lbs5 ft11NoNoNo2Pro & Farm825,000$0$0$No825,000$Lien
Henrik RybinskiMinnesota (Min)C202001-06-26Yes185 Lbs6 ft1NoNoNo4Pro & Farm859,167$0$0$No859,167$859,167$859,167$Lien
Jack LaFontaineMinnesota (Min)G231998-01-06Yes209 Lbs6 ft3YesNoNo1Pro & Farm800,000$0$0$NoLien
Jesse YlonenMinnesota (Min)RW221999-10-03Yes187 Lbs6 ft1NoNoNo3Pro & Farm880,833$0$0$No880,833$880,833$Lien
Kasper KotkansaloMinnesota (Min)D221998-11-16Yes198 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Kristian VesalainenMinnesota (Min)LW/RW221999-06-01No207 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien
Max PaddockMinnesota (Min)G212000-06-15Yes168 Lbs6 ft2NoNoNo3Pro & Farm560,000$0$0$No560,000$560,000$Lien
Maxime Lagace (contrat à 1 volet)Minnesota (Min)G281993-01-12No190 Lbs6 ft2NoNoYes2Pro & Farm950,000$50,000$0$No950,000$Lien
Michael KrutilMinnesota (Min)D192002-06-03Yes203 Lbs6 ft3YesNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Mikhail AbramovMinnesota (Min)C202001-03-26Yes161 Lbs6 ft0NoNoNo4Pro & Farm809,444$0$0$No809,444$809,444$809,444$Lien
Nikolai KovalenkoMinnesota (Min)RW211999-10-17Yes185 Lbs5 ft10NoNoNo3Pro & Farm560,000$0$0$No560,000$560,000$Lien
Patrik PuistolaMinnesota (Min)LW202001-01-11Yes180 Lbs6 ft0NoNoNo4Pro & Farm700,000$0$0$No700,000$700,000$700,000$Lien
Pavel ShenMinnesota (Min)C221999-08-14No183 Lbs6 ft1NoNoNo2Pro & Farm809,169$0$0$No809,169$Lien
Peter DiLiberatoreMinnesota (Min)D212000-03-31Yes185 Lbs6 ft0YesNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Santeri VirtanenMinnesota (Min)C221999-05-11Yes203 Lbs6 ft2NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Serron NoelMinnesota (Min)RW212000-08-08Yes216 Lbs6 ft5NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
Victor BerglundMinnesota (Min)D221999-08-02Yes183 Lbs6 ft1NoNoNo2Pro & Farm818,333$0$0$No818,333$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2121.48188 Lbs6 ft12.67779,855$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kristian VesalainenHenrik RybinskiJesse Ylonen40122
2Brayden TraceyEmilio PettersenSerron Noel30122
3Patrik PuistolaMikhail AbramovDmitry Zavgorodniy20122
4Jesse YlonenAlexander Khovanov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Peter DiLiberatore40122
2Filip WesterlundKasper Kotkansalo30122
3Alexander KhovanovSanteri Virtanen20122
4Peter DiLiberatore10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kristian VesalainenHenrik RybinskiJesse Ylonen60122
2Brayden TraceyEmilio PettersenSerron Noel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Peter DiLiberatore60122
2Filip WesterlundKasper Kotkansalo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jesse YlonenKristian Vesalainen60122
2Brayden TraceyHenrik Rybinski40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Peter DiLiberatore60122
2Filip WesterlundKasper Kotkansalo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jesse Ylonen60122Peter DiLiberatore60122
2Kristian Vesalainen40122Filip WesterlundKasper Kotkansalo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesse YlonenKristian Vesalainen60122
2Brayden TraceyHenrik Rybinski40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Peter DiLiberatore60122
2Filip WesterlundKasper Kotkansalo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kristian VesalainenHenrik RybinskiJesse YlonenPeter DiLiberatore
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kristian VesalainenHenrik RybinskiJesse YlonenPeter DiLiberatore
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikhail Abramov, Patrik Puistola, Dmitry ZavgorodniyMikhail Abramov, Patrik PuistolaDmitry Zavgorodniy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Westerlund, Kasper Kotkansalo, Filip WesterlundKasper Kotkansalo,
Tirs de pénalité
Jesse Ylonen, Kristian Vesalainen, Brayden Tracey, Henrik Rybinski, Emilio Pettersen
Gardien
#1 : Maxime Lagace, #2 : Jack LaFontaine


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
TotalDomicileVisiteur
# 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
1Admirals31000002990110000004222000000257-240.6679162500956778119295788696475114322258900.00%11281.82%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
2Baby Hawks403010001017-72010100069-32020000048-420.250101727009567781110795788696475201582282900.00%10550.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
3Bears21100000660110000005231010000014-320.500611170095677811539578869647577191739300.00%6266.67%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
4Bruins211000007431010000012-11100000062420.50071219009567781181957886964757813103712216.67%40100.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
5Cabaret Lady Mary Ann220000001358110000005321100000082641.000132437009567781114395788696475882314586233.33%6266.67%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
6Caroline21100000761110000006331010000013-220.500712190095677811679578869647572168379333.33%4175.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
7Chiefs4020101069-32020000016-52000101053240.50069150095677811130957886964751663916731700.00%80100.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
8Chill312000001417-31100000065120200000812-420.3331422360095677811113957886964751364512638225.00%6350.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
9Comets30200010813-51010000023-120100010610-420.333814220095677811107957886964751364035825360.00%80100.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
10Cougars2000000268-21000000134-11000000134-120.5006121800956778117195788696475873910328112.50%5260.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
11Crunch2010000146-21010000023-11000000123-110.25047110095677811699578869647566188378112.50%4250.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
12Heat31200000910-1110000004312020000057-220.333917260095677811106957886964751352917717114.29%6266.67%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
13Jayhawks4220000011101211000005412110000066040.5001120310095677811154957886964751423520728112.50%8275.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
14Las Vegas302010001013-32010100078-11010000035-220.33310172710956778111039578869647515345206010220.00%10280.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
15Manchots21000001660110000005411000000112-130.750610160095677811709578869647567246445120.00%30100.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
16Marlies21100000990110000006511010000034-120.500917260095677811629578869647589236348337.50%20100.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
17Monarchs3300000013582200000011561100000020261.00013253801956778111249578869647512034236410330.00%80100.00%11401270451.81%1583324348.81%705135252.14%1794122421146261066509
18Monsters21100000550110000004221010000013-220.50058130095677811859578869647576249489222.22%20100.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
19Monsters3210000012111211000008801100000043140.66712203200956778111039578869647510527124813323.08%6183.33%11401270451.81%1583324348.81%705135252.14%1794122421146261066509
20Oceanics404000001015-52020000057-22020000058-300.00010192900956778111069578869647518453398515640.00%60100.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
21Oil Kings3110100010100210010008531010000025-340.66710192900956778111139578869647511125204313215.38%10460.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
22Phantoms22000000642110000003211100000032141.000611170095677811769578869647559174635120.00%2150.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
23Rocket22000000862110000003211100000054141.000815230095677811629578869647577264356116.67%2150.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
24Seattle31200000811-32110000056-11010000035-220.333814220095677811121957886964751153615759222.22%50100.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
25Senators2020000069-31010000046-21010000023-100.0006101600956778115295788696475632712389222.22%5180.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
26Sharks3020100068-21010000023-12010100045-120.3336111700956778119995788696475137461464300.00%6266.67%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
27Sound Tigers2020000038-51010000014-31010000024-200.0003690095677811529578869647591281941600.00%7185.71%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
28Spiders21100000752110000004131010000034-120.5007142100956778116795788696475721713446233.33%40100.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
29Stars421000011114-3210000016602110000058-350.6251119300095677811139957886964751754428769444.44%130100.00%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
30Thunder2020000028-61010000013-21010000015-400.0002240095677811459578869647581201233400.00%6183.33%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
31Wolf Pack20200000510-51010000025-31010000035-200.0005914009567781176957886964751162418448225.00%9277.78%01401270451.81%1583324348.81%705135252.14%1794122421146261066509
Total82274105027247277-304119170300213513144182402025112146-34750.4572474396861195677811284895788696475338994648516802575220.23%1923979.69%21401270451.81%1583324348.81%705135252.14%1794122421146261066509
_Since Last GM Reset82274105027247277-304119170300213513144182402025112146-34750.4572474396861195677811284895788696475338994648516802575220.23%1923979.69%21401270451.81%1583324348.81%705135252.14%1794122421146261066509
_Vs Conference44142004024133149-162399030027173-221511010226276-14440.500133236369109567781115959578869647518295002498811372618.98%1052477.14%11401270451.81%1583324348.81%705135252.14%1794122421146261066509
_Vs Division2419030127379-6121502001433581204010113044-14120.250731332061195677811865957886964751021287166517661319.70%641281.25%11401270451.81%1583324348.81%705135252.14%1794122421146261066509

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8275L424743968628483389946485168011
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8227415027247277
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119173002135131
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
418242025112146
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2575220.23%1923979.69%2
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
9578869647595677811
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
1401270451.81%1583324348.81%705135252.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1794122421146261066509


Derniers matchs 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
7 - 2022-10-1317Wolf Pack5Minnesota2BLSommaire du match
9 - 2022-10-1534Monarchs2Minnesota6BWSommaire du match
11 - 2022-10-1745Monsters5Minnesota4BLSommaire du match
14 - 2022-10-2067Comets3Minnesota2BLSommaire du match
16 - 2022-10-2274Minnesota6Bruins2AWSommaire du match
19 - 2022-10-25101Minnesota5Rocket4AWSommaire du match
21 - 2022-10-27113Minnesota2Senators3ALSommaire du match
23 - 2022-10-29134Minnesota3Cougars4ALXXSommaire du match
24 - 2022-10-30140Minnesota3Baby Hawks5ALSommaire du match
26 - 2022-11-01151Rocket2Minnesota3BWSommaire du match
28 - 2022-11-03167Seattle4Minnesota1BLSommaire du match
33 - 2022-11-08206Minnesota2Monarchs0AWSommaire du match
34 - 2022-11-09210Minnesota2Admirals3ALXXSommaire du match
36 - 2022-11-11224Minnesota3Seattle5ALSommaire du match
38 - 2022-11-13239Sharks3Minnesota2BLSommaire du match
40 - 2022-11-15254Minnesota3Chill4ALSommaire du match
42 - 2022-11-17268Manchots4Minnesota5BWSommaire du match
44 - 2022-11-19283Caroline3Minnesota6BWSommaire du match
48 - 2022-11-23303Oceanics5Minnesota4BLSommaire du match
50 - 2022-11-25321Marlies5Minnesota6BWSommaire du match
52 - 2022-11-27341Jayhawks2Minnesota1BLSommaire du match
56 - 2022-12-01370Oil Kings2Minnesota3BWXSommaire du match
58 - 2022-12-03379Admirals2Minnesota4BWSommaire du match
59 - 2022-12-04393Minnesota0Stars6ALSommaire du match
62 - 2022-12-07414Minnesota2Heat3ALSommaire du match
64 - 2022-12-09429Minnesota2Oil Kings5ALSommaire du match
65 - 2022-12-10441Minnesota1Comets6ALSommaire du match
67 - 2022-12-12452Oil Kings3Minnesota5BWSommaire du match
69 - 2022-12-14467Cougars4Minnesota3BLXXSommaire du match
71 - 2022-12-16481Baby Hawks5Minnesota1BLSommaire du match
73 - 2022-12-18497Senators6Minnesota4BLSommaire du match
76 - 2022-12-21524Minnesota3Admirals4ALXXSommaire du match
77 - 2022-12-22532Minnesota2Sharks4ALSommaire du match
82 - 2022-12-27552Minnesota3Oceanics4ALSommaire du match
84 - 2022-12-29569Stars4Minnesota3BLXXSommaire du match
86 - 2022-12-31589Minnesota3Chiefs2AWXXSommaire du match
90 - 2023-01-04610Thunder3Minnesota1BLSommaire du match
93 - 2023-01-07631Minnesota2Crunch3ALXXSommaire du match
94 - 2023-01-08642Chiefs3Minnesota1BLSommaire du match
96 - 2023-01-10649Minnesota3Wolf Pack5ALSommaire du match
98 - 2023-01-12669Minnesota2Sound Tigers4ALSommaire du match
100 - 2023-01-14685Jayhawks2Minnesota4BWSommaire du match
103 - 2023-01-17707Minnesota1Bears4ALSommaire du match
105 - 2023-01-19721Minnesota1Caroline3ALSommaire du match
107 - 2023-01-21734Minnesota8Cabaret Lady Mary Ann2AWSommaire du match
110 - 2023-01-24758Minnesota1Thunder5ALSommaire du match
112 - 2023-01-26779Phantoms2Minnesota3BWSommaire du match
114 - 2023-01-28795Crunch3Minnesota2BLSommaire du match
123 - 2023-02-06812Minnesota1Jayhawks3ALSommaire du match
125 - 2023-02-08820Minnesota5Stars2AWSommaire du match
126 - 2023-02-09827Las Vegas4Minnesota5BWXSommaire du match
128 - 2023-02-11843Spiders1Minnesota4BWSommaire du match
130 - 2023-02-13852Cabaret Lady Mary Ann3Minnesota5BWSommaire du match
132 - 2023-02-15867Monsters3Minnesota4BWSommaire du match
134 - 2023-02-17880Stars2Minnesota3BWSommaire du match
136 - 2023-02-19896Chill5Minnesota6BWSommaire du match
138 - 2023-02-21913Monarchs3Minnesota5BWSommaire du match
140 - 2023-02-23924Minnesota1Monsters3ALSommaire du match
141 - 2023-02-24931Minnesota3Marlies4ALSommaire du match
143 - 2023-02-26948Monsters2Minnesota4BWSommaire du match
145 - 2023-02-28962Sound Tigers4Minnesota1BLSommaire du match
147 - 2023-03-02981Minnesota5Comets4AWXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-04999Minnesota3Heat4ALSommaire du match
152 - 2023-03-071018Heat3Minnesota4BWSommaire du match
153 - 2023-03-081022Minnesota2Oceanics4ALSommaire du match
156 - 2023-03-111051Minnesota2Sharks1AWXSommaire du match
157 - 2023-03-121059Minnesota5Jayhawks3AWSommaire du match
160 - 2023-03-151078Minnesota2Chiefs1AWXSommaire du match
163 - 2023-03-181096Bruins2Minnesota1BLSommaire du match
164 - 2023-03-191109Bears2Minnesota5BWSommaire du match
166 - 2023-03-211123Minnesota3Spiders4ALSommaire du match
168 - 2023-03-231136Minnesota3Phantoms2AWSommaire du match
170 - 2023-03-251155Baby Hawks4Minnesota5BWXSommaire du match
172 - 2023-03-271173Seattle2Minnesota4BWSommaire du match
174 - 2023-03-291188Minnesota4Monsters3AWSommaire du match
177 - 2023-04-011214Minnesota3Las Vegas5ALSommaire du match
179 - 2023-04-031226Las Vegas4Minnesota2BLSommaire du match
182 - 2023-04-061244Minnesota1Manchots2ALXXSommaire du match
184 - 2023-04-081258Chiefs3Minnesota0BLSommaire du match
186 - 2023-04-101281Minnesota1Baby Hawks3ALSommaire du match
187 - 2023-04-111291Oceanics2Minnesota1BLSommaire du match
189 - 2023-04-131305Minnesota5Chill8ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance78,48439,698
Assistance PCT95.71%96.82%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2882 - 96.08% 81,522$3,342,410$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,547,638$ 1,542,694$ 1,542,694$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,119$ 1,547,638$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 8,119$ 0$




Minnesota Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Minnesota Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Minnesota Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Minnesota Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Minnesota Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA