Connexion

Minnesota
GP: 82 | W: 26 | L: 48 | OTL: 8 | P: 60
GF: 271 | GA: 359 | PP%: 24.50% | PK%: 77.60%
DG: Fred Villiard | Morale : 50 | Moyenne d’équipe : 53
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Centre de jeu
Minnesota
26-48-8, 60pts
3
FINAL
10 Bears
47-29-6, 100pts
Team Stats
W1StreakW3
12-25-4Home Record28-8-5
14-23-4Away Record19-21-1
3-6-1Last 10 Games7-2-1
3.30Goals Per Game3.79
4.38Goals Against Per Game3.30
24.50%Power Play Percentage20.97%
77.60%Penalty Kill Percentage79.47%
Minnesota
26-48-8, 60pts
5
FINAL
4 Chill
29-49-4, 62pts
Team Stats
W1StreakSOL1
12-25-4Home Record16-23-2
14-23-4Away Record13-26-2
3-6-1Last 10 Games1-8-1
3.30Goals Per Game2.98
4.38Goals Against Per Game3.62
24.50%Power Play Percentage16.67%
77.60%Penalty Kill Percentage75.38%
Meneurs d'équipe
Buts
Evan Bouchard
14
Passes
Evan Bouchard
37
Points
Evan Bouchard
51
Plus/Moins
John Moore
1
Victoires
Joey Daccord
25
Pourcentage d’arrêts
Scott Darling
0.923

Statistiques d’équipe
Buts pour
271
3.30 GFG
Tirs pour
3108
37.90 Avg
Pourcentage en avantage numérique
24.5%
61 GF
Début de zone offensive
38.5%
Buts contre
359
4.38 GAA
Tirs contre
3760
45.85 Avg
Pourcentage en désavantage numérique
77.6%
43 GA
Début de la zone défensive
42.3%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,880
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 50
Espoirs17


Historique d'équipe

Saison actuelle26-48-8 (60PTS)
Historique26-48-6 (0.325%)
Apparitions séries éliminatoires
Historique séries éliminatoires (W-L)-


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
1Anthony AngelloX100.00924787667950736925606063254646050600241777,777$
2Anthony LouisXX100.00655392655365666480606262595555050590253560,000$
3Logan BrownX100.00848580628557566176635469514646050590221925,000$
4Joey AndersonX100.00746984766963645950496464614949050590221700,000$
5Jesse Ylonen (R)X100.00736983666965666150556263594444050580214880,833$
6Zack MacEwenXXX100.00849965668152626144535661254950050570242925,000$
7Mathias Emilio Pettersen (R)X100.00746692616659595974555863554444050570204903,333$
8Pavel ShenX100.00797590656856525569545166444444050560213809,169$
9Serron Noel (R)X100.00758257638253535750595163484444050560204894,167$
10Kristian VesalainenXX100.00694399627752625525585556254545050550212925,000$
11Dmitry Zavgorodniy (R)X100.00726197666157604850454559434444050520204780,000$
12Santeri Virtanen (R)X100.00504992647455694654344847525454050500213650,000$
13Brandon ManningX100.007274676678575556374739673665660505903051,500,000$
14Bobby Nardella (R)X100.00656185626155565525574060394444050550241825,000$
15Filip Westerlund (R)X100.00454191656561854125413445375454050520213825,000$
16Victor Berglund (R)X100.00474483656661854125353947425454050520213818,333$
17Kasper Kotkansalo (R)X100.00525179617249693425342848295858050500213700,000$
Rayé
1Nikolai Kovalenko (R)X100.00484290666560814249324442465454050490204560,000$
2Brayden Tracey (R)XX100.00726589716532304455384458424444050480194560,000$
3Alexander Khovanov (R)X100.00534883626937443350263443365050050420204792,500$
4Filip Berglund (R)X100.00344040406933333440343440373230050380231650,000$
MOYENNE D’ÉQUIPE100.0066608264705461514747485642494905053
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
1Scott Darling100.0044516493404350524445304444050510
2Max Paddock (R)100.0043555465404441434042425050050460
Rayé
MOYENNE D’ÉQUIPE100.004453597940444648424436474705049
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
1Anthony LouisMinnesota (Min)C/LW75335083-660622563831002698.62%46167922.40315185419221381233258.51%155700010.9938000336
2Jesse YlonenMinnesota (Min)RW75383371-395951961713871192909.82%36141618.89121527761780001433448.30%14700031.0017010513
3Joey AndersonMinnesota (Min)RW61283866-2295151128358872457.82%25134722.096814711550118793050.00%12000010.9827010824
4Mathias Emilio PettersenMinnesota (Min)C82254065-1822096199258782449.69%37124615.202121447127000003055.27%180400101.0402000325
5Zack MacEwenMinnesota (Min)C/LW/RW5525275204810191117258571609.69%3199518.115712561380003491249.04%10400001.0423020611
6Evan BouchardMinnesotaD53143751-528010598168501128.33%101120122.67991877130022491000.00%000000.8500000050
7Kristian VesalainenMinnesota (Min)LW/RW82143246-181203989209631486.70%17124415.18371034119000091131.09%11900000.7400000110
8Anthony AngelloMinnesota (Min)RW511923422326087491534610312.42%1490817.8134722117000011236.00%7500020.9300000412
9Brandon ManningMinnesota (Min)D6133134-237410159699629753.13%116117119.20291140134011184100.00%000000.5800011010
10Oliver KylingtonMinnesotaD7792534-43180449710437708.65%68124316.15731044106000062100.00%000000.5500000001
11Bobby NardellaMinnesota (Min)D8282533-304401587667245211.94%111104012.69213512000019010.00%000000.6301000110
12John MooreMinnesotaD32922311235796911139788.11%7577924.375274480000161000.00%000000.7900000011
13Pavel ShenMinnesota (Min)C41141024-1112078108150481319.33%1264215.6701103000003055.14%45700000.7500000122
14Travis DermottMinnesotaD2731518-24050354615436.52%5758121.551672166000154000.00%000000.6200000010
15Filip WesterlundMinnesota (Min)D7721012-106023192314258.70%515987.7720234000025000.00%000000.4000000000
16Serron NoelMinnesota (Min)RW643710-2241057235013416.00%33705.7900000000001146.67%3000000.5400020001
17Brayden TraceyMinnesota (Min)C/LW26336-810039404812356.25%940215.5000000000081050.00%3000000.3000000000
18Nikolai KovalenkoMinnesota (Min)RW26426-920792851914.29%040615.6500001000001033.33%2400000.2900000001
19Victor BerglundMinnesota (Min)D27044-14017137050.00%1432912.1900000000019000.00%000000.2400000000
20Kasper KotkansaloMinnesota (Min)D27033-52014911630.00%171897.030000000000000.00%000000.3200000000
21Santeri VirtanenMinnesota (Min)C23213-9003201331215.38%22068.97000010000160054.27%23400000.2900000000
22Logan BrownMinnesota (Min)C1011020231010.00%21919.8700002000000045.45%2200001.0100000000
23Alexander KhovanovMinnesota (Min)C26000-300141030.00%0682.6400005000010051.56%6400000.0000000000
Statistiques d’équipe totales ou en moyenne1151256439695-2204554516581701293084521648.74%8441809215.726299161594157825727754231354.59%478700170.77828071322227
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
1Joey DaccordMinnesota81254770.9054.2444738131633280240.55020810666
2Scott DarlingMinnesota (Min)131110.9234.0748620334280000.7789182001
Statistiques d’équipe totales ou en moyenne94264880.9074.22495910134937560240.621298282667


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 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)C202000-04-12Yes196 Lbs5 ft11NoNoNo4Pro & Farm792,500$79,250$0$No792,500$792,500$792,500$Lien
Anthony AngelloMinnesota (Min)RW241996-03-06No209 Lbs6 ft5NoNoNo1Pro & Farm777,777$77,778$0$NoLien
Anthony LouisMinnesota (Min)C/LW251995-02-10No151 Lbs5 ft7NoNoNo3Pro & Farm560,000$56,000$0$No560,000$560,000$Lien
Bobby NardellaMinnesota (Min)D241996-04-22Yes174 Lbs5 ft9NoNoNo1Pro & Farm825,000$82,500$0$NoLien
Brandon ManningMinnesota (Min)D301990-06-03No205 Lbs6 ft1NoNoNo5Pro & Farm1,500,000$150,000$0$No1,500,000$1,500,000$1,500,000$1,500,000$Lien
Brayden TraceyMinnesota (Min)C/LW192001-05-28Yes176 Lbs6 ft0NoNoNo4Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$Lien
Dmitry ZavgorodniyMinnesota (Min)LW202000-08-11Yes173 Lbs5 ft9NoNoNo4Pro & Farm780,000$78,000$0$No780,000$780,000$780,000$Lien
Filip BerglundMinnesota (Min)D231997-05-10Yes209 Lbs6 ft3NoNoNo1Pro & Farm650,000$65,000$0$NoLien
Filip WesterlundMinnesota (Min)D211999-04-17Yes181 Lbs5 ft11NoNoNo3Pro & Farm825,000$82,500$0$No825,000$825,000$Lien
Jesse YlonenMinnesota (Min)RW211999-10-03Yes187 Lbs6 ft1NoNoNo4Pro & Farm880,833$88,083$0$No880,833$880,833$880,833$Lien
Joey AndersonMinnesota (Min)RW221998-06-19No190 Lbs5 ft11NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Kasper KotkansaloMinnesota (Min)D211998-11-16Yes198 Lbs6 ft2NoNoNo3Pro & Farm700,000$70,000$0$No700,000$700,000$Lien
Kristian VesalainenMinnesota (Min)LW/RW211999-06-01No207 Lbs6 ft3NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Logan BrownMinnesota (Min)C221998-03-04No220 Lbs6 ft6NoNoNo1Pro & Farm925,000$925,000$0$NoLien
Mathias Emilio PettersenMinnesota (Min)C202000-04-03Yes181 Lbs5 ft11NoNoNo4Pro & Farm903,333$90,333$0$No903,333$903,333$903,333$Lien
Max PaddockMinnesota (Min)G202000-06-15Yes168 Lbs6 ft2NoNoNo4Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$Lien
Nikolai KovalenkoMinnesota (Min)RW201999-10-17Yes185 Lbs5 ft10NoNoNo4Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$Lien
Pavel ShenMinnesota (Min)C211999-08-14No183 Lbs6 ft1NoNoNo3Pro & Farm809,169$80,917$0$No809,169$809,169$Lien
Santeri VirtanenMinnesota (Min)C211999-05-11Yes203 Lbs6 ft2NoNoNo3Pro & Farm650,000$65,000$0$No650,000$650,000$Lien
Scott DarlingMinnesota (Min)G311988-12-21No226 Lbs6 ft5NoNoNo4Pro & Farm1,800,000$180,000$0$No1,800,000$1,800,000$1,800,000$Lien
Serron NoelMinnesota (Min)RW202000-08-08Yes216 Lbs6 ft5NoNoNo4Pro & Farm894,167$89,417$0$No894,167$894,167$894,167$Lien
Victor BerglundMinnesota (Min)D211999-08-02Yes181 Lbs6 ft0NoNoNo3Pro & Farm818,333$81,833$0$No818,333$818,333$Lien
Zack MacEwenMinnesota (Min)C/LW/RW241996-07-08No205 Lbs6 ft3NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2322.22192 Lbs6 ft12.96840,048$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack MacEwen40122
2Kristian VesalainenMathias Emilio Pettersen30122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
3Bobby Nardella20122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack MacEwen60122
2Kristian VesalainenMathias Emilio Pettersen40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Zack MacEwen40122
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
2Zack MacEwen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zack MacEwen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zack MacEwen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Bobby Nardella, Bobby Nardella,
Tirs de pénalité
, , , Zack MacEwen, Mathias Emilio Pettersen
Gardien
#1 : , #2 : Scott Darling


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
1Admirals31100001713-61000000134-12110000049-530.50071219001148668811510131049102155137311677800.00%6350.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
2Baby Hawks4220000014140211000006512110000089-140.5001426400011486688137101310491021551895216889222.22%8275.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
3Bears20200000318-151010000008-810100000310-700.00034700114866885710131049102155137372458225.00%10100.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
4Bruins20100001410-61000000145-11010000005-510.2504711001148668884101310491021551021321499222.22%7185.71%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
5Cabaret Lady Mary Ann211000001011-11010000035-21100000076120.500101929001148668887101310491021558727124210330.00%50100.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
6Caroline20000101911-21000010045-11000000156-120.500916250011486688761013104910215583312385360.00%110.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
7Chiefs412001001418-42110000066020100100812-430.37514264010114866881391013104910215517363376713215.38%11463.64%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
8Chill513000101418-42020000028-6311000101210240.400142236001148668818510131049102155231872011915426.67%10280.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
9Comets303000001115-42020000079-21010000046-200.00011213200114866881131013104910215511131216510440.00%7185.71%11397292747.73%1378321442.87%663146445.29%1832126520956011038502
10Cougars2010001068-2100000104311010000025-320.500691500114866886710131049102155113191342400.00%6183.33%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
11Crunch20200000615-91010000028-61010000047-300.0006111700114866889810131049102155932610478450.00%4250.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
12Heat312000001112-120200000610-41100000052320.333112031001148668811210131049102155115353063800.00%13284.62%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
13Jayhawks31200000914-51010000026-42110000078-120.33391625001148668810310131049102155134411458700.00%7357.14%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
14Las Vegas311000011818021000001151051010000038-530.500183250001148668815210131049102155168388749444.44%40100.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
15Manchots22000000853110000004311100000042241.0008142200114866887010131049102155862314426116.67%40100.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
16Marlies220000001064110000005411100000052341.00010182800114866888110131049102155842519375360.00%60100.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
17Monarchs312000001214-21100000043120200000811-320.3331222341011486688112101310491021551434520706233.33%10190.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
18Monsters2020000059-41010000036-31010000023-100.000591410114866887410131049102155972715446233.33%50100.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
19Monsters504000011224-1230300000716-92010000158-310.100122234001148668817710131049102155228531413721419.05%6433.33%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
20Oceanics413000001418-42110000076120200000712-520.25014264000114866881441013104910215518744297714321.43%7185.71%11397292747.73%1378321442.87%663146445.29%1832126520956011038502
21Oil Kings31200000990211000006511010000034-120.333917260011486688109101310491021551373922685240.00%11190.91%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
22Phantoms2020000058-31010000023-11010000035-200.000510150011486688751013104910215597291028400.00%50100.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
23Rocket2110000057-21010000014-31100000043120.50059140011486688731013104910215587358508225.00%4250.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
24Senators2110000068-21010000026-41100000042220.5006121800114866887910131049102155842114447228.57%7271.43%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
25Sharks30300000311-81010000015-42020000026-400.00035810114866888310131049102155139433082300.00%14192.86%11397292747.73%1378321442.87%663146445.29%1832126520956011038502
26Sound Tigers211000009901010000026-41100000073420.5009152400114866887810131049102155113298484125.00%3166.67%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
27Spiders2020000068-21010000034-11010000034-100.00061117001148668865101310491021551052812477114.29%5260.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
28Stars412000011117-62110000069-32010000158-330.37511193000114866881341013104910215515455208817211.76%9455.56%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
29Thunder21000010853100000106511100000020241.000813210111486688117101310491021556825649300.00%3233.33%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
30Wolf Pack220000001266110000006421100000062441.000122234001148668811210131049102155782183510660.00%30100.00%01397292747.73%1378321442.87%663146445.29%1832126520956011038502
Total82234800236271359-8841102500123129181-5241132300113142178-36600.36627148575641114866883108101310491021553760107347118202496124.50%1924377.60%31397292747.73%1378321442.87%663146445.29%1832126520956011038502
_Since Last GM Reset82234800236271359-8841102500123129181-5241132300113142178-36600.36627148575641114866883108101310491021553760107347118202496124.50%1924377.60%31397292747.73%1378321442.87%663146445.29%1832126520956011038502
_Vs Conference42102500214145193-48235150011175101-2619510001037092-22280.333145263408101148668815771013104910215518725452279271343223.88%962771.88%11397292747.73%1378321442.87%663146445.29%1832126520956011038502
_Vs Division24460011180106-261232000114452-81214001003654-18120.250801452252011486688899101310491021551084303161557561221.43%721283.33%21397292747.73%1378321442.87%663146445.29%1832126520956011038502

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8260W1271485756310837601073471182041
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8223480236271359
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4110250123129181
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4113230113142178
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2496124.50%1924377.60%3
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
1013104910215511486688
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
1397292747.73%1378321442.87%663146445.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1832126520956011038502


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
2 - 2021-10-139Minnesota3Chill4LSommaire du match
4 - 2021-10-1527Minnesota2Monsters4LSommaire du match
9 - 2021-10-2053Minnesota3Oceanics6LSommaire du match
11 - 2021-10-2271Manchots3Minnesota4WSommaire du match
13 - 2021-10-2479Minnesota4Senators2WSommaire du match
14 - 2021-10-2585Minnesota5Marlies2WSommaire du match
16 - 2021-10-2799Minnesota4Rocket3WSommaire du match
19 - 2021-10-30125Rocket4Minnesota1LSommaire du match
21 - 2021-11-01139Oil Kings4Minnesota3LSommaire du match
23 - 2021-11-03150Minnesota4Chill2WSommaire du match
25 - 2021-11-05167Monarchs3Minnesota4WSommaire du match
28 - 2021-11-08186Minnesota2Stars4LSommaire du match
29 - 2021-11-09190Minnesota5Chiefs8LSommaire du match
32 - 2021-11-12213Chiefs4Minnesota2LSommaire du match
35 - 2021-11-15233Minnesota3Admirals2WSommaire du match
37 - 2021-11-17247Minnesota0Sharks2LSommaire du match
39 - 2021-11-19259Minnesota2Jayhawks4LSommaire du match
42 - 2021-11-22279Minnesota3Monarchs4LSommaire du match
44 - 2021-11-24289Jayhawks6Minnesota2LSommaire du match
46 - 2021-11-26299Caroline5Minnesota4LXSommaire du match
49 - 2021-11-29318Minnesota4Crunch7LSommaire du match
51 - 2021-12-01340Monsters4Minnesota2LSommaire du match
53 - 2021-12-03353Minnesota0Bruins5LSommaire du match
55 - 2021-12-05366Minnesota6Wolf Pack2WSommaire du match
56 - 2021-12-06375Minnesota3Spiders4LSommaire du match
59 - 2021-12-09395Senators6Minnesota2LSommaire du match
61 - 2021-12-11416Stars3Minnesota4WSommaire du match
63 - 2021-12-13426Minnesota7Cabaret Lady Mary Ann6WSommaire du match
65 - 2021-12-15440Minnesota2Thunder0WSommaire du match
67 - 2021-12-17459Minnesota5Caroline6LXXSommaire du match
70 - 2021-12-20476Admirals4Minnesota3LXXSommaire du match
72 - 2021-12-22493Oil Kings1Minnesota3WSommaire du match
74 - 2021-12-24507Phantoms3Minnesota2LSommaire du match
75 - 2021-12-25516Minnesota5Baby Hawks3WSommaire du match
77 - 2021-12-27533Minnesota3Las Vegas8LSommaire du match
79 - 2021-12-29546Minnesota5Jayhawks4WSommaire du match
81 - 2021-12-31554Oceanics3Minnesota5WSommaire du match
83 - 2022-01-02570Heat6Minnesota3LSommaire du match
87 - 2022-01-06586Minnesota3Monsters4LXXSommaire du match
89 - 2022-01-08605Sound Tigers6Minnesota2LSommaire du match
91 - 2022-01-10616Marlies4Minnesota5WSommaire du match
95 - 2022-01-14643Oceanics3Minnesota2LSommaire du match
96 - 2022-01-15656Heat4Minnesota3LSommaire du match
100 - 2022-01-19685Minnesota5Heat2WSommaire du match
103 - 2022-01-22704Comets4Minnesota3LSommaire du match
105 - 2022-01-24718Minnesota4Manchots2WSommaire du match
107 - 2022-01-26736Thunder5Minnesota6WXXSommaire du match
109 - 2022-01-28753Stars6Minnesota2LSommaire du match
111 - 2022-01-30760Cabaret Lady Mary Ann5Minnesota3LSommaire du match
113 - 2022-02-01767Cougars3Minnesota4WXXSommaire du match
123 - 2022-02-11802Bruins5Minnesota4LXXSommaire du match
126 - 2022-02-14821Baby Hawks3Minnesota2LSommaire du match
128 - 2022-02-16835Comets5Minnesota4LSommaire du match
129 - 2022-02-17842Minnesota3Stars4LXXSommaire du match
131 - 2022-02-19859Monsters6Minnesota2LSommaire du match
133 - 2022-02-21871Las Vegas3Minnesota9WSommaire du match
135 - 2022-02-23887Wolf Pack4Minnesota6WSommaire du match
137 - 2022-02-25899Sharks5Minnesota1LSommaire du match
141 - 2022-03-01932Minnesota4Comets6LSommaire du match
143 - 2022-03-03946Minnesota3Oil Kings4LSommaire du match
145 - 2022-03-05964Chiefs2Minnesota4WSommaire du match
147 - 2022-03-07978Monsters6Minnesota3LSommaire du match
149 - 2022-03-09989Minnesota2Cougars5LSommaire du match
150 - 2022-03-10995Minnesota2Monsters3LSommaire du match
152 - 2022-03-121014Bears8Minnesota0LSommaire du match
154 - 2022-03-141023Chill4Minnesota0LSommaire du match
156 - 2022-03-161042Minnesota2Sharks4LSommaire du match
158 - 2022-03-181052Minnesota5Monarchs7LSommaire du match
159 - 2022-03-191063Minnesota1Admirals7LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-03-231089Las Vegas7Minnesota6LXXSommaire du match
165 - 2022-03-251098Minnesota3Phantoms5LSommaire du match
166 - 2022-03-261116Chill4Minnesota2LSommaire du match
168 - 2022-03-281127Baby Hawks2Minnesota4WSommaire du match
170 - 2022-03-301143Minnesota3Baby Hawks6LSommaire du match
171 - 2022-03-311148Minnesota4Oceanics6LSommaire du match
174 - 2022-04-031172Monsters6Minnesota3LSommaire du match
177 - 2022-04-061198Spiders4Minnesota3LSommaire du match
179 - 2022-04-081213Crunch8Minnesota2LSommaire du match
180 - 2022-04-091220Minnesota3Chiefs4LXSommaire du match
182 - 2022-04-111229Minnesota7Sound Tigers3WSommaire du match
184 - 2022-04-131248Minnesota3Bears10LSommaire du match
186 - 2022-04-151267Minnesota5Chill4WXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance78,29739,777
Assistance PCT95.48%97.02%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2880 - 96.00% 81,391$3,337,050$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,287,311$ 2,764,611$ 2,764,611$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,784$ 2,287,311$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,784$ 0$




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