Connexion

Minnesota
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Fred Villiard | Morale : 50 | Moyenne d’équipe : 54
Prochains matchs #17 vs Wolf Pack
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Wolf Pack
0-0-0, 0pts
2022-10-13
Minnesota
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Monarchs
0-0-0, 0pts
2022-10-15
Minnesota
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Monsters
0-0-0, 0pts
2022-10-17
Minnesota
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 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
1Connor McMichael (R)XX100.00694294776757776160616460255252050600202894,167$
2Jesse Ylonen (R)X100.00634195666959746825666661254545050600223880,833$
3Kristian VesalainenXX100.00794596747752705725525661255253050580221925,000$
4Brayden Tracey (R)X100.00696579706557576150595861554444050570203560,000$
5Henrik Rybinski (R)X100.00474299696870875762554946515454050560204859,167$
6Emilio Pettersen (R)XX100.00706289636253535670505860554444050550213903,333$
7Pavel ShenX100.00757589646852485268504765434444050540222809,169$
8Serron Noel (R)X100.00788268638255575150514663444444050540213894,167$
9Mikhail Abramov (R)X100.00706190636155555569574860464444050540204809,444$
10Alexander Khovanov (R)X100.00716977626941395063484659444444050510213792,500$
11Patrik Puistola (R)X100.00464099666667944550334842505454050510204700,000$
12Dmitry Zavgorodniy (R)XXX100.00696189626137354759444457424444050490213780,000$
13Santeri Virtanen (R)X100.00474991637451644453324547505454050480222650,000$
14Bobby NardellaX100.00696187626149485625494860464444050540253600,000$
15Victor Berglund (R)X100.00726881636848485225434660444444050540222818,333$
16Filip Westerlund (R)X100.00434190646557793925383245365454050500222825,000$
17Kasper Kotkansalo (R)X100.00495178607246643225322648285858050490222700,000$
Rayé
1Nikolai Kovalenko (R)X100.00464289656556754049304142455454050470213560,000$
MOYENNE D’ÉQUIPE100.0063558865685362514747485542494905053
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
1Aaron Dell100.00644749757652836465637558580506303212,533,333$
2Joey Daccord (R)100.00624556776762636865653045450506102531,500,000$
Rayé
1Maxime Lagace100.0057445575606163656665304444050590282950,000$
2Max Paddock (R)100.0042545265394341413840405046050450213560,000$
MOYENNE D’ÉQUIPE100.005648537361556360595844494805057
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
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


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
Aaron DellMinnesota (Min)G321989-05-04No209 Lbs6 ft0NoNoNo1Pro & Farm2,533,333$2,533,333$253,333$253,333$NoLien
Alexander KhovanovMinnesota (Min)C212000-04-12Yes198 Lbs5 ft10NoNoNo3Pro & Farm792,500$792,500$79,250$79,250$No792,500$792,500$Lien
Bobby NardellaMinnesota (Min)D251996-04-22No174 Lbs5 ft9NoNoNo3Pro & Farm600,000$600,000$60,000$60,000$No600,000$600,000$Lien
Brayden TraceyMinnesota (Min)LW202001-05-28Yes176 Lbs6 ft0NoNoNo3Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$Lien
Connor McMichaelMinnesota (Min)C/LW202001-01-15Yes183 Lbs6 ft0NoNoNo2Pro & Farm894,167$894,167$89,417$89,417$No894,167$Lien
Dmitry ZavgorodniyMinnesota (Min)C/LW/RW212000-08-11Yes173 Lbs5 ft9NoNoNo3Pro & Farm780,000$780,000$78,000$78,000$No780,000$780,000$Lien
Emilio PettersenMinnesota (Min)C/LW212000-03-03Yes170 Lbs5 ft10NoNoNo3Pro & Farm903,333$903,333$90,333$90,333$No903,333$903,333$Lien
Filip WesterlundMinnesota (Min)D221999-04-17Yes181 Lbs5 ft11NoNoNo2Pro & Farm825,000$825,000$82,500$82,500$No825,000$Lien
Henrik RybinskiMinnesota (Min)C202001-06-26Yes185 Lbs6 ft1NoNoNo4Pro & Farm859,167$859,167$85,917$85,917$No859,167$859,167$859,167$Lien
Jesse YlonenMinnesota (Min)RW221999-10-03Yes187 Lbs6 ft1NoNoNo3Pro & Farm880,833$880,833$88,083$88,083$No880,833$880,833$Lien
Joey DaccordMinnesota (Min)G251996-08-19Yes197 Lbs6 ft2NoNoNo3Pro & Farm1,500,000$1,500,000$150,000$150,000$No1,500,000$1,500,000$Lien
Kasper KotkansaloMinnesota (Min)D221998-11-16Yes198 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$70,000$70,000$No700,000$Lien
Kristian VesalainenMinnesota (Min)LW/RW221999-06-01No207 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$92,500$92,500$NoLien
Max PaddockMinnesota (Min)G212000-06-15Yes168 Lbs6 ft2NoNoNo3Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$Lien
Maxime LagaceMinnesota (Min)G281993-01-12No190 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$95,000$95,000$No950,000$Lien
Mikhail AbramovMinnesota (Min)C202001-03-26Yes161 Lbs6 ft0NoNoNo4Pro & Farm809,444$809,444$80,944$80,944$No809,444$809,444$809,444$Lien
Nikolai KovalenkoMinnesota (Min)RW211999-10-17Yes185 Lbs5 ft10NoNoNo3Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$Lien
Patrik PuistolaMinnesota (Min)LW202001-01-11Yes180 Lbs6 ft0NoNoNo4Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$700,000$Lien
Pavel ShenMinnesota (Min)C221999-08-14No183 Lbs6 ft1NoNoNo2Pro & Farm809,169$809,169$80,917$80,917$No809,169$Lien
Santeri VirtanenMinnesota (Min)C221999-05-11Yes203 Lbs6 ft2NoNoNo2Pro & Farm650,000$650,000$65,000$65,000$No650,000$Lien
Serron NoelMinnesota (Min)RW212000-08-08Yes216 Lbs6 ft5NoNoNo3Pro & Farm894,167$894,167$89,417$89,417$No894,167$894,167$Lien
Victor BerglundMinnesota (Min)D221999-08-02Yes183 Lbs6 ft1NoNoNo2Pro & Farm818,333$818,333$81,833$81,833$No818,333$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2222.27187 Lbs6 ft02.64886,566$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Emilio Pettersen30122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Emilio Pettersen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
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
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , , Emilio Pettersen
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
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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 Pack-Minnesota-
9 - 2022-10-1534Monarchs-Minnesota-
11 - 2022-10-1745Monsters-Minnesota-
14 - 2022-10-2067Comets-Minnesota-
16 - 2022-10-2274Minnesota-Bruins-
19 - 2022-10-25101Minnesota-Rocket-
21 - 2022-10-27113Minnesota-Senators-
23 - 2022-10-29134Minnesota-Cougars-
24 - 2022-10-30140Minnesota-Baby Hawks-
26 - 2022-11-01151Rocket-Minnesota-
28 - 2022-11-03167Seattle-Minnesota-
33 - 2022-11-08206Minnesota-Monarchs-
34 - 2022-11-09210Minnesota-Admirals-
36 - 2022-11-11224Minnesota-Seattle-
38 - 2022-11-13239Sharks-Minnesota-
40 - 2022-11-15254Minnesota-Chill-
42 - 2022-11-17268Manchots-Minnesota-
44 - 2022-11-19283Caroline-Minnesota-
48 - 2022-11-23303Oceanics-Minnesota-
50 - 2022-11-25321Marlies-Minnesota-
52 - 2022-11-27341Jayhawks-Minnesota-
56 - 2022-12-01370Oil Kings-Minnesota-
58 - 2022-12-03379Admirals-Minnesota-
59 - 2022-12-04393Minnesota-Stars-
62 - 2022-12-07414Minnesota-Heat-
64 - 2022-12-09429Minnesota-Oil Kings-
65 - 2022-12-10441Minnesota-Comets-
67 - 2022-12-12452Oil Kings-Minnesota-
69 - 2022-12-14467Cougars-Minnesota-
71 - 2022-12-16481Baby Hawks-Minnesota-
73 - 2022-12-18497Senators-Minnesota-
76 - 2022-12-21524Minnesota-Admirals-
77 - 2022-12-22532Minnesota-Sharks-
82 - 2022-12-27552Minnesota-Oceanics-
84 - 2022-12-29569Stars-Minnesota-
86 - 2022-12-31589Minnesota-Chiefs-
90 - 2023-01-04610Thunder-Minnesota-
93 - 2023-01-07631Minnesota-Crunch-
94 - 2023-01-08642Chiefs-Minnesota-
96 - 2023-01-10649Minnesota-Wolf Pack-
98 - 2023-01-12669Minnesota-Sound Tigers-
100 - 2023-01-14685Jayhawks-Minnesota-
103 - 2023-01-17707Minnesota-Bears-
105 - 2023-01-19721Minnesota-Caroline-
107 - 2023-01-21734Minnesota-Cabaret Lady Mary Ann-
110 - 2023-01-24758Minnesota-Thunder-
112 - 2023-01-26779Phantoms-Minnesota-
114 - 2023-01-28795Crunch-Minnesota-
123 - 2023-02-06812Minnesota-Jayhawks-
125 - 2023-02-08820Minnesota-Stars-
126 - 2023-02-09827Las Vegas-Minnesota-
128 - 2023-02-11843Spiders-Minnesota-
130 - 2023-02-13852Cabaret Lady Mary Ann-Minnesota-
132 - 2023-02-15867Monsters-Minnesota-
134 - 2023-02-17880Stars-Minnesota-
136 - 2023-02-19896Chill-Minnesota-
138 - 2023-02-21913Monarchs-Minnesota-
140 - 2023-02-23924Minnesota-Monsters-
141 - 2023-02-24931Minnesota-Marlies-
143 - 2023-02-26948Monsters-Minnesota-
145 - 2023-02-28962Sound Tigers-Minnesota-
147 - 2023-03-02981Minnesota-Comets-
149 - 2023-03-04999Minnesota-Heat-
152 - 2023-03-071018Heat-Minnesota-
153 - 2023-03-081022Minnesota-Oceanics-
156 - 2023-03-111051Minnesota-Sharks-
157 - 2023-03-121059Minnesota-Jayhawks-
160 - 2023-03-151078Minnesota-Chiefs-
163 - 2023-03-181096Bruins-Minnesota-
164 - 2023-03-191109Bears-Minnesota-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211123Minnesota-Spiders-
168 - 2023-03-231136Minnesota-Phantoms-
170 - 2023-03-251155Baby Hawks-Minnesota-
172 - 2023-03-271173Seattle-Minnesota-
174 - 2023-03-291188Minnesota-Monsters-
177 - 2023-04-011214Minnesota-Las Vegas-
179 - 2023-04-031226Las Vegas-Minnesota-
182 - 2023-04-061244Minnesota-Manchots-
184 - 2023-04-081258Chiefs-Minnesota-
186 - 2023-04-101281Minnesota-Baby Hawks-
187 - 2023-04-111291Oceanics-Minnesota-
189 - 2023-04-131305Minnesota-Chill-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,950,444$ 1,950,444$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,265$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 10,265$ 1,950,350$




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