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Minnesota
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Fred Villiard | Morale : 50 | Moyenne d’équipe : 56
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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 Pro24
Équipe Mineure19
Limite contact 43 / 50
Espoirs35


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
1Juraj Slafkovsky (R)XX100.00674762688577646844656364665150050650183950,000$
2Connor McMichaelXX100.00634379736766666861646263685250050640211894,167$
3Matthew Knies (R)X100.00574071698078606540616062655150050630193925,000$
4Antoine RousselX100.006244536466717361435555626085720506203232,000,000$
5Emilio Pettersen (R)X100.00624468725763636342625966655150050620222903,333$
6Xavier Bourgault (R)X100.00624070695957576242625862635050050600193925,000$
7Henrik Rybinski (R)X100.00624069666361615941595460595050050590213859,167$
8Brayden Tracey (R)X100.00564565686162626142615552625050050580212560,000$
9Mikhail Abramov (R)X100.00544373705663626156595553625050050580213809,444$
10Joakim Kemell (R)X100.00604066646254535840555554595050050560183950,000$
11Pavel ShenX100.00717587636848444967464364414444050540231809,169$
12Serron Noel (R)X100.00738267628251524849474262424444050540222894,167$
13Simon Edvinsson (R)X100.00634162676657576240625766625050050610193925,000$
14Hunter SkinnerX100.00624567696461595840545165605050050600212800,000$
15Peter DiLiberatore (R)X100.00564668715762605940545262615150050590222800,000$
16Victor BerglundX100.00544364715761585540535260595150050580231818,333$
17Michael KrutilX100.00717687577643454125323361354444050530202800,000$
Rayé
1Alexander Khovanov (R)X100.00676975616938364762444258424444050510222792,500$
2Patrik Puistola (R)X100.00434097656662864249304441485454050500213700,000$
3Nikolai Kovalenko (R)X100.00434287646552693848283841435454050470222560,000$
4Filip Westerlund (R)X100.00404188636552733725352944355454050500231825,000$
5Kasper Kotkansalo (R)X100.00465176597242593025292447275858050480231700,000$
MOYENNE D’ÉQUIPE100.0059497366675860544451495854525105057
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
1Leevi Merilainen (R)100.0068575757616264626362535050050570203820,000$
2Max Paddock (R)100.0040535065374140393638385042050410222560,000$
Rayé
MOYENNE D’ÉQUIPE100.005455546149525251505046504605049
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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Alexander KhovanovMinnesota (Min)C222000-04-12Yes198 Lbs5 ft10NoNoNoNo2Pro & Farm792,500$792,500$0$0$No792,500$Lien
Antoine Roussel (contrat à 1 volet)Minnesota (Min)LW321989-11-21No199 Lbs5 ft11NoNoYesNo3Pro & Farm2,000,000$2,000,000$1,100,000$1,100,000$No2,000,000$2,000,000$Lien
Brayden TraceyMinnesota (Min)LW212001-05-28Yes176 Lbs6 ft0NoNoNoNo2Pro & Farm560,000$560,000$0$0$No560,000$Lien
Connor McMichaelMinnesota (Min)C/LW212001-01-15No183 Lbs6 ft0NoNoNoNo1Pro & Farm894,167$894,167$0$0$NoLien
Emilio PettersenMinnesota (Min)C222000-04-03Yes170 Lbs5 ft10NoNoNoNo2Pro & Farm903,333$903,333$0$0$No903,333$Lien
Filip WesterlundMinnesota (Min)D231999-04-17Yes181 Lbs5 ft11NoNoNoNo1Pro & Farm825,000$825,000$0$0$NoLien
Henrik RybinskiMinnesota (Min)RW212001-06-26Yes185 Lbs6 ft2NoNoNoNo3Pro & Farm859,167$859,167$0$0$No859,167$859,167$Lien
Hunter SkinnerMinnesota (Min)D212001-04-29No183 Lbs6 ft2NoNoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Joakim KemellMinnesota (Min)RW182004-04-27Yes185 Lbs5 ft10NoNoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Juraj SlafkovskyMinnesota (Min)LW/RW182004-03-30Yes238 Lbs6 ft3NoNoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Kasper KotkansaloMinnesota (Min)D231998-11-16Yes198 Lbs6 ft2NoNoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Leevi MerilainenMinnesota (Min)G202002-08-13Yes159 Lbs6 ft2NoNoNoNo3Pro & Farm820,000$820,000$0$0$No820,000$820,000$
Matthew KniesMinnesota (Min)LW192002-10-17Yes210 Lbs6 ft2NoNoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Max PaddockMinnesota (Min)G222000-06-15Yes168 Lbs6 ft2NoNoNoNo2Pro & Farm560,000$560,000$0$0$No560,000$Lien
Michael KrutilMinnesota (Min)D202002-06-03No203 Lbs6 ft3NoNoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Mikhail AbramovMinnesota (Min)C212001-03-26Yes161 Lbs6 ft0NoNoNoNo3Pro & Farm809,444$809,444$0$0$No809,444$809,444$Lien
Nikolai KovalenkoMinnesota (Min)RW221999-10-17Yes185 Lbs5 ft10NoNoNoNo2Pro & Farm560,000$560,000$0$0$No560,000$Lien
Patrik PuistolaMinnesota (Min)LW212001-01-11Yes180 Lbs6 ft0NoNoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien
Pavel ShenMinnesota (Min)C231999-08-14No183 Lbs6 ft1NoNoNoNo1Pro & Farm809,169$809,169$0$0$NoLien
Peter DiLiberatoreMinnesota (Min)D222000-03-31Yes161 Lbs5 ft11NoNoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Serron NoelMinnesota (Min)RW222000-08-08Yes216 Lbs6 ft5NoNoNoNo2Pro & Farm894,167$894,167$0$0$No894,167$Lien
Simon EdvinssonMinnesota (Min)D192003-02-05Yes198 Lbs6 ft4NoNoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Victor BerglundMinnesota (Min)D231999-08-02No165 Lbs6 ft0NoNoNoNo1Pro & Farm818,333$818,333$0$0$NoLien
Xavier BourgaultMinnesota (Min)RW192002-10-22Yes172 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2421.46186 Lbs6 ft12.21857,512$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyConnor McMichael40122
2Matthew KniesEmilio PettersenXavier Bourgault30122
3Brayden TraceyJoakim KemellHenrik Rybinski20122
4Juraj SlafkovskyJoakim Kemell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter Skinner40122
2Peter DiLiberatoreVictor Berglund30122
3Michael Krutil20122
4Hunter Skinner10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyConnor McMichael60122
2Matthew KniesEmilio PettersenXavier Bourgault40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter Skinner60122
2Peter DiLiberatoreVictor Berglund40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juraj Slafkovsky60122
2Connor McMichaelMatthew Knies40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter Skinner60122
2Peter DiLiberatoreVictor Berglund40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Juraj Slafkovsky60122Hunter Skinner60122
240122Peter DiLiberatoreVictor Berglund40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Juraj Slafkovsky60122
2Connor McMichaelMatthew Knies40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter Skinner60122
2Peter DiLiberatoreVictor Berglund40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyConnor McMichaelHunter Skinner
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyConnor McMichaelHunter Skinner
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Henrik Rybinski, Brayden Tracey, Henrik RybinskiBrayden Tracey
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Krutil, , Peter DiLiberatoreMichael Krutil, Peter DiLiberatore
Tirs de pénalité
Juraj Slafkovsky, , Connor McMichael, Matthew Knies, Emilio Pettersen
Gardien
#1 : Leevi Merilainen, #2 : Max Paddock


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%000%0000%000%000%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%000%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%000%000%
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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,858,028$ 1,858,028$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 14 0$ 0$




Minnesota Leaders statistiques des joueurs (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 des joueurs (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