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Connexion

Wild
GP: 82 | W: 49 | L: 31 | OTL: 2 | P: 100
GF: 433 | GA: 347 | PP%: 19.54% | PK%: 78.41%
DG: David | Morale : 50 | Moyenne d’équipe : 61
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Centre de jeu
Comets
40-38-4, 84pts
7
FINAL
9 Wild
49-31-2, 100pts
Team Stats
L1StreakW5
23-16-2Home Record25-15-1
17-22-2Away Record24-16-1
6-4-0Last 10 Games8-2-0
4.38Buts par match 5.28
4.10Buts contre par match 4.23
20.60%Pourcentage en avantage numérique19.54%
74.21%Pourcentage en désavantage numérique78.41%
Comets
40-38-4, 84pts
1
FINAL
6 Wild
49-31-2, 100pts
Team Stats
L1StreakW5
23-16-2Home Record25-15-1
17-22-2Away Record24-16-1
6-4-0Last 10 Games8-2-0
4.38Buts par match 5.28
4.10Buts contre par match 4.23
20.60%Pourcentage en avantage numérique19.54%
74.21%Pourcentage en désavantage numérique78.41%
Meneurs d'équipe
Riley BarberButs
Riley Barber
111
Seth GriffithPasses
Seth Griffith
107
Riley BarberPoints
Riley Barber
200
Riley BarberPlus/Moins
Riley Barber
114
Victoires
Michael Houser
23
Jonathan BernierPourcentage d’arrêts
Jonathan Bernier
0.929

Statistiques d’équipe
Buts pour
433
5.28 GFG
Tirs pour
2876
35.07 Avg
Pourcentage en avantage numérique
19.5%
60 GF
Début de zone offensive
40.4%
Buts contre
347
4.23 GAA
Tirs contre
2076
25.32 Avg
Pourcentage en désavantage numérique
78.4%%
57 GA
Début de la zone défensive
31.7%
Informations de l'équipe

Directeur généralDavid
EntraîneurTodd McLellan
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,925
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 50
Espoirs41


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
1Fabian Zetterlund (R)X100.007644997776657976567872632545457350680233750,000$
2Rocco GrimaldiXX100.0069618980617171725065726868626271506703022,250,000$
3Riley BarberX100.007773856673686869506272676845457050640293800,000$
4Seth GriffithXX100.007067766167767870506868656549496850640301800,000$
5Yegor Chinakhov (R)XX100.0071429183656360662560606575515165506202221,325,000$
6Connor Dewar (R)XX100.007963806566566962566057742547476450610233800,000$
7Brett RitchieX100.008459807783556360315258582567676150610291800,000$
8Tyler GraovacX100.007544867281545057685874612554546650610301800,000$
9Connor BunnamanX100.007644916875567659825055672549496150600251750,000$
10Hudson FaschingX100.008044996574556255255055677555556150590271800,000$
11Jayce HawrylukXX100.007944906770545858446058622559596050590272800,000$
12Adam BrooksXX100.006341976966535859455458647548496150580272750,000$
13Philip Broberg (R)X100.0063428983746257632548487225464660506302131,713,333$
14Zac Jones (R)X100.006140997062666361255247737546465950610223925,000$
15Kyle WoodX100.008790816690707647253741663944445450610272750,000$
16Conor Timmins (R)X100.006742916570626560255747682547485750610242850,000$
17Vincent Desharnais (R)X100.008183776383656951254741643944445550600273800,000$
Rayé
1Julien Nantel (R)XX100.007770926470616355694759645645456050580262750,000$
2Shane GersichXX100.006966766366676959745558605544446050580262750,000$
3Thomas Di PauliXX100.007267826567575757715158615544445950570292750,000$
4Jonathan Gruden (R)X100.006664716364575853505151574844445550540233802,500$
MOYENNE D’ÉQUIPE100.00735787697262656046555865474949625061
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
1Jonathan Bernier100.006553556875557964696564696966506503414,500,000$
2Michael Houser100.00494380705048505450503044444950520301600,000$
Rayé
MOYENNE D’ÉQUIPE100.0057486869635265596058475757585059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan80867787807469CAN542500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’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
1Riley BarberWild (MIN)RW82111892001141083018410650613734721.94%63161319.6821143564219000515311562.54%283000142.480120322124
2Seth GriffithWild (MIN)LW/RW82801071871024551598340811429719.61%32160419.571223355822501141468258.82%11900082.33010019177
3Jayce HawrylukWild (MIN)C/RW823762995838097972456516815.10%26106012.931343200000303460.83%70200001.8700000363
4Hudson FaschingWild (MIN)RW823550855738053622136816316.43%2292711.323149230001502052.48%10100031.8300000244
5Shane GersichWild (MIN)C/LW8129437249321066601755214216.57%3389811.09000010112794168.60%12100021.6000200122
6Conor TimminsWild (MIN)D82105565287351696367174114.93%83144217.591451113200009330100.00%100000.9000001004
7Rocco GrimaldiWild (MIN)C/RW3115415630100188474176320.27%569222.35213151312410131003061.54%79300011.6201000247
8Brett RitchieWild (MIN)RW43201939135410101421362710214.71%1772416.85336221270000171146.15%2600011.0800101115
9Yegor ChinakhovWild (MIN)LW/RW311424382040154590298515.56%759119.08369181140004770144.00%2500001.2900000332
10Connor DewarWild (MIN)C/LW311421352060325480175917.50%452416.92448201080000161167.49%44300001.3300000011
11Tyler GraovacWild (MIN)C3116173321120243695318216.84%248715.731014260000254070.30%36700001.3500000521
12Zac JonesWild (MIN)D312262820009204313144.65%2366121.3504427108011290000.00%100000.8500000013
13Philip BrobergWild (MIN)D318192721120342143192918.60%2668021.9636925118000185300.00%000000.7900000201
14Vincent DesharnaisWild (MIN)D5021820494610114203011156.67%2490818.1714514104000090000.00%200000.4400011001
15Connor BunnamanWild (MIN)C31513182816025293071116.67%950016.1400013000040062.32%6900000.7200000010
16Evan BouchardWildD947117008593444.44%10889.840000000000100.00%000002.4800000001
17Adam BrooksWild (MIN)C/LW1526812001132411198.33%216310.8900000000000066.67%600000.9800000001
18Kyle WoodWild (MIN)D3115622520776165116.25%1365221.060115111000077000.00%000000.1800000000
19Fabian ZetterlundWild (MIN)RW1011040103130.00%02020.700001700000000.00%200000.9700000000
Statistiques d’équipe totales ou en moyenne85740562310286715507011878462287644165517.71%4011424516.6255861412951578134221138441562.92%3061000291.4403517505447
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
1Michael HouserWild (MIN)3023510.8482.28176603674400110.6673301010
2Jonathan BernierWild (MIN)11000.9291.0060001140000.00%010000
Statistiques d’équipe totales ou en moyenne3124510.8502.23182603684540113311010


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
Adam BrooksWild (MIN)C/LW271996-05-06No185 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Brett RitchieWild (MIN)RW291993-06-30No220 Lbs6 ft4NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Connor BunnamanWild (MIN)C251998-04-16No207 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Connor DewarWild (MIN)C/LW231999-06-26Yes182 Lbs5 ft10NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien / Lien NHL
Conor TimminsWild (MIN)D241998-09-18Yes185 Lbs6 ft2NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Fabian ZetterlundWild (MIN)RW231999-08-25Yes218 Lbs5 ft11NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Hudson FaschingWild (MIN)RW271995-07-28No204 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Jayce HawrylukWild (MIN)C/RW271996-01-01No196 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Jonathan BernierWild (MIN)G341988-08-07No185 Lbs6 ft0NoNoNo1Pro & Farm4,500,000$0$0$NoLien / Lien NHL
Jonathan GrudenWild (MIN)LW232000-05-04Yes172 Lbs6 ft0NoNoNo3Pro & Farm802,500$0$0$No802,500$802,500$Lien
Julien NantelWild (MIN)C/LW261996-09-06Yes193 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Kyle WoodWild (MIN)D271996-05-04No235 Lbs6 ft7NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Michael HouserWild (MIN)G301992-09-12No185 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$NoLien
Philip BrobergWild (MIN)D212001-06-25Yes199 Lbs6 ft3NoNoNo3Pro & Farm1,713,333$0$0$No1,713,333$1,713,333$Lien
Riley BarberWild (MIN)RW291994-02-07No203 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien / Lien NHL
Rocco GrimaldiWild (MIN)C/RW301993-02-08No180 Lbs5 ft6NoNoNo2Pro & Farm2,250,000$0$0$No2,250,000$Lien / Lien NHL
Seth GriffithWild (MIN)LW/RW301993-01-04No190 Lbs5 ft9NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Shane GersichWild (MIN)C/LW261996-07-10No180 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Thomas Di PauliWild (MIN)C/LW291994-04-29No187 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Tyler GraovacWild (MIN)C301993-04-26No212 Lbs6 ft5NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Vincent DesharnaisWild (MIN)D271996-05-29Yes216 Lbs6 ft6NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Yegor ChinakhovWild (MIN)LW/RW222001-02-01Yes179 Lbs6 ft0NoNoNo2Pro & Farm1,325,000$0$0$No1,325,000$Lien
Zac JonesWild (MIN)D222000-10-18Yes172 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.57195 Lbs6 ft02.001,070,254$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Seth GriffithTyler GraovacFabian Zetterlund40122
2Yegor ChinakhovRocco GrimaldiRiley Barber30122
3Adam BrooksConnor DewarHudson Fasching20122
4Jayce HawrylukConnor BunnamanBrett Ritchie10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergZac Jones30122
2Conor TimminsVincent Desharnais30122
3Connor BunnamanKyle Wood30122
4Conor TimminsZac Jones10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Seth GriffithTyler GraovacFabian Zetterlund50104
2Yegor ChinakhovRocco GrimaldiRiley Barber50104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergZac Jones50023
2Conor TimminsVincent Desharnais50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor DewarRocco Grimaldi50131
2Connor BunnamanRiley Barber50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergZac Jones50140
2Conor TimminsKyle Wood50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Connor Dewar50050Philip BrobergZac Jones50140
2Connor Bunnaman50050Conor TimminsKyle Wood50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler GraovacFabian Zetterlund50122
2Rocco GrimaldiRiley Barber50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergZac Jones50122
2Conor TimminsVincent Desharnais50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rocco GrimaldiTyler GraovacFabian ZetterlundPhilip BrobergZac Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rocco GrimaldiConnor DewarRiley BarberPhilip BrobergZac Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rocco Grimaldi, Hudson Fasching, Fabian ZetterlundRiley Barber, Tyler GraovacHudson Fasching
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Conor Timmins, Philip Broberg, Zac JonesKyle WoodVincent Desharnais, Kyle Wood
Tirs de pénalité
Rocco Grimaldi, Seth Griffith, Riley Barber, Yegor Chinakhov, Fabian Zetterlund
Gardien
#1 : Jonathan Bernier, #2 : Michael Houser
Lignes d’attaque personnalisées en prolongation
Tyler Graovac, Fabian Zetterlund, Rocco Grimaldi, Riley Barber, Seth Griffith, Yegor Chinakhov, Yegor Chinakhov, Connor Dewar, Jayce Hawryluk, Adam Brooks, Brett Ritchie
Lignes de défense personnalisées en prolongation
Philip Broberg, Zac Jones, Conor Timmins, Kyle Wood, Vincent Desharnais


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
1 Americans43100000261972200000016610211000001013-360.7502649750017714910431079149949551610734347113323.08%16475.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
2Admirals43001000301515220000001349210010001711681.00030558500177149104317891499495516912220919555.56%9188.89%01130214752.63%799168247.50%733148449.39%224117191794480895465
3Barracudas2200000016412110000008441100000080841.00016213701177149104310791499495516431111365120.00%30100.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
4Bears220000001156110000008441100000031241.00011193000177149104389914994955164781242400.00%6183.33%01130214752.63%799168247.50%733148449.39%224117191794480895465
5Bruins220000001349110000007341100000061541.000132336001771491043559149949551625524308225.00%8275.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
6Canucks20200000716-91010000026-410100000510-500.0007142100177149104332914994955165614263811218.18%12375.00%11130214752.63%799168247.50%733148449.39%224117191794480895465
7Checkers21100000814-61010000018-71100000076120.500810180017714910435591499495516712431316350.00%10370.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
8Comets33000000191182200000015871100000043161.00019345300177149104395914994955165617306121314.29%13561.54%01130214752.63%799168247.50%733148449.39%224117191794480895465
9Condors2010000159-41000000134-11010000025-310.250581300177149104338914994955163416244410110.00%70100.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
10Crunch30200100617-111010000017-620100100510-510.1676915001771491043429149949551610629224010110.00%10370.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
11Eagles2110000058-31010000015-41100000043120.50059140017714910433991499495516521418396116.67%9188.89%01130214752.63%799168247.50%733148449.39%224117191794480895465
12Firebirds55000000421428330000002110112200000021417101.000426410600177149104331491499495516119274810916425.00%14285.71%01130214752.63%799168247.50%733148449.39%224117191794480895465
13Griffins211000006511010000034-11100000031220.5006121800177149104356914994955163914223213215.38%6183.33%01130214752.63%799168247.50%733148449.39%224117191794480895465
14Gulls21100000990110000005411010000045-120.50091423001771491043579149949551669172226700.00%6266.67%01130214752.63%799168247.50%733148449.39%224117191794480895465
15Heat20200000712-51010000046-21010000036-300.000713200017714910436391499495516531318309222.22%7185.71%01130214752.63%799168247.50%733148449.39%224117191794480895465
16IceHogs4310000029236211000001514122000000149560.750294574001771491043164914994955161254630968450.00%15566.67%01130214752.63%799168247.50%733148449.39%224117191794480895465
17Marlies30300000715-81010000012-120200000613-700.0007111800177149104346914994955167025314720420.00%13376.92%01130214752.63%799168247.50%733148449.39%224117191794480895465
18Monsters21001000743110000004221000100032141.000713200017714910434791499495516266143818633.33%7271.43%01130214752.63%799168247.50%733148449.39%224117191794480895465
19Moose40301000823-1520200000315-122010100058-320.250811190017714910431029149949551612423286118211.11%12466.67%01130214752.63%799168247.50%733148449.39%224117191794480895465
20Penguins211000001213-1110000006421010000069-320.5001218300017714910437791499495516852515428225.00%6266.67%01130214752.63%799168247.50%733148449.39%224117191794480895465
21Phantoms20200000713-61010000058-31010000025-300.0007132000177149104357914994955166418143910110.00%5180.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
22Rampage 440000003710272200000018513220000001951481.00037631000017714910432549149949551692338945120.00%30100.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
23Reign2110000069-31010000029-71100000040420.500611170117714910435891499495516639104712325.00%50100.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
24Roadrunners2200000016115110000009091100000071641.0001631470117714910438891499495516141112286233.33%60100.00%11130214752.63%799168247.50%733148449.39%224117191794480895465
25Rocket20200000712-51010000059-41010000023-100.00071320001771491043349149949551656141643700.00%80100.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
26Senators21100000761110000005231010000024-220.500714211017714910433591499495516462018307114.29%9366.67%01130214752.63%799168247.50%733148449.39%224117191794480895465
27Sound Tigers220000001459110000008171100000064241.000142539001771491043729149949551639171236300.00%6266.67%01130214752.63%799168247.50%733148449.39%224117191794480895465
28Stars4400000042142822000000211110220000002131881.000426811000177149104328691499495516101281898500.00%7185.71%01130214752.63%799168247.50%733148449.39%224117191794480895465
29Thunderbirds20200000313-101010000019-81010000024-200.0003581017714910432891499495516692010281119.09%5180.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
30Wolf Pack22000000835110000003121100000052341.0008122000177149104389914994955162491030900.00%50100.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
31Wolves413000001321-821100000710-320200000611-520.2501320330017714910431129149949551611033546012325.00%16475.00%01130214752.63%799168247.50%733148449.39%224117191794480895465
Total8246310310143334786412515000012211853641211603100212162501000.6104337271160231771491043287691499495516207660266215373076019.54%2645778.41%21130214752.63%799168247.50%733148449.39%224117191794480895465
_Since Last GM Reset8246310310143334786412515000012211853641211603100212162501000.6104337271160231771491043287691499495516207660266215373076019.54%2645778.41%21130214752.63%799168247.50%733148449.39%224117191794480895465
_Vs Conference4730140200129119110024167000011461073923147020001458461650.69129148277303177149104319679149949551611973373559301413222.70%1352581.48%11130214752.63%799168247.50%733148449.39%224117191794480895465
_Vs Division2423802000167947312134000008054261210402000874047501.042167282449011771491043111191499495516599177134507571526.32%611280.33%11130214752.63%799168247.50%733148449.39%224117191794480895465

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82100W5433727116028762076602662153723
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8246313101433347
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4125150001221185
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4121163100212162
Derniers 10 matchs
WLOTWOTL SOWSOL
721000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3076019.54%2645778.41%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
914994955161771491043
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
1130214752.63%799168247.50%733148449.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
224117191794480895465


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
1 - 2023-03-222Firebirds3Wild7BWSommaire du match
3 - 2023-03-2425Wild11Rampage 2AWSommaire du match
4 - 2023-03-2538Stars4Wild9BWSommaire du match
7 - 2023-03-2858Wild3Marlies7ALSommaire du match
8 - 2023-03-2968Wild2Moose6ALSommaire du match
10 - 2023-03-3187Moose5Wild1BLSommaire du match
13 - 2023-04-03102 Americans4Wild9BWSommaire du match
14 - 2023-04-04115Wild9Stars2AWSommaire du match
16 - 2023-04-06129Wild11Admirals6AWSommaire du match
18 - 2023-04-08148Firebirds3Wild4BWSommaire du match
19 - 2023-04-09163Wild8IceHogs7AWSommaire du match
21 - 2023-04-11179Wolves7Wild3BLSommaire du match
23 - 2023-04-13196Wild5 Americans9ALSommaire du match
25 - 2023-04-15211Rampage 3Wild9BWSommaire du match
28 - 2023-04-18234IceHogs6Wild9BWSommaire du match
29 - 2023-04-19239Wild1Crunch5ALSommaire du match
31 - 2023-04-21254Wild3Wolves5ALSommaire du match
33 - 2023-04-23274Wild3Heat6ALSommaire du match
34 - 2023-04-24284Bears4Wild8BWSommaire du match
37 - 2023-04-27304Griffins4Wild3BLSommaire du match
40 - 2023-04-30330Barracudas4Wild8BWSommaire du match
42 - 2023-05-02346Wild2Senators4ALSommaire du match
44 - 2023-05-04362IceHogs8Wild6BLSommaire du match
47 - 2023-05-07381Wild6Sound Tigers4AWSommaire du match
49 - 2023-05-09397Crunch7Wild1BLSommaire du match
50 - 2023-05-10412Wild2Condors5ALSommaire du match
52 - 2023-05-12429Moose10Wild2BLSommaire du match
55 - 2023-05-15450Stars7Wild12BWSommaire du match
57 - 2023-05-17467Wild4Gulls5ALSommaire du match
59 - 2023-05-19481Reign9Wild2BLSommaire du match
61 - 2023-05-21500Wild6Penguins9ALSommaire du match
63 - 2023-05-23513Wild3Marlies6ALSommaire du match
64 - 2023-05-24525Eagles5Wild1BLSommaire du match
67 - 2023-05-27548Gulls4Wild5BWSommaire du match
69 - 2023-05-29565Wild4Crunch5ALXSommaire du match
71 - 2023-05-31582Wild6Admirals5AWXSommaire du match
72 - 2023-06-01589Phantoms8Wild5BLSommaire du match
75 - 2023-06-04611Wolves3Wild4BWSommaire du match
77 - 2023-06-06632Wild5Wolf Pack2AWSommaire du match
78 - 2023-06-07644Checkers8Wild1BLSommaire du match
81 - 2023-06-10666Wild11Firebirds3AWSommaire du match
82 - 2023-06-11675Wild5Canucks10ALSommaire du match
83 - 2023-06-12685Penguins4Wild6BWSommaire du match
87 - 2023-06-16708Rampage 2Wild9BWSommaire du match
89 - 2023-06-18728Wild12Stars1AWSommaire du match
91 - 2023-06-20740Thunderbirds9Wild1BLSommaire du match
93 - 2023-06-22756Wild8Rampage 3AWSommaire du match
95 - 2023-06-24773Rocket9Wild5BLSommaire du match
98 - 2023-06-27791Wild7Checkers6AWSommaire du match
100 - 2023-06-29806Firebirds4Wild10BWSommaire du match
102 - 2023-07-01825Wild3Wolves6ALSommaire du match
104 - 2023-07-03840Canucks6Wild2BLSommaire du match
106 - 2023-07-05857Wild10Firebirds1AWSommaire du match
108 - 2023-07-07872Wild2Thunderbirds4ALSommaire du match
109 - 2023-07-08880Wolf Pack1Wild3BWSommaire du match
111 - 2023-07-10896Wild6Bruins1AWSommaire du match
112 - 2023-07-11906Wild8Barracudas0AWSommaire du match
113 - 2023-07-12916Bruins3Wild7BWSommaire du match
116 - 2023-07-15941Senators2Wild5BWSommaire du match
119 - 2023-07-18964Wild3Griffins1AWSommaire du match
120 - 2023-07-19974Condors4Wild3BLXXSommaire du match
123 - 2023-07-22993Wild7Roadrunners1AWSommaire du match
125 - 2023-07-241004Heat6Wild4BLSommaire du match
127 - 2023-07-261020Wild2Phantoms5ALSommaire du match
129 - 2023-07-281039Sound Tigers1Wild8BWSommaire du match
131 - 2023-07-301054Wild3Moose2AWXSommaire du match
133 - 2023-08-011070Roadrunners0Wild9BWSommaire du match
135 - 2023-08-031090Wild4Comets3AWSommaire du match
136 - 2023-08-041096Wild6IceHogs2AWSommaire du match
138 - 2023-08-061111Monsters2Wild4BWSommaire du match
141 - 2023-08-091137Admirals2Wild8BWSommaire du match
143 - 2023-08-111153Wild4Eagles3AWSommaire du match
144 - 2023-08-121165Marlies2Wild1BLSommaire du match
147 - 2023-08-151187Wild3Monsters2AWXSommaire du match
148 - 2023-08-161191Wild5 Americans4AWSommaire du match
149 - 2023-08-171205 Americans2Wild7BWSommaire du match
152 - 2023-08-201227Wild2Rocket3ALSommaire du match
154 - 2023-08-221239Admirals2Wild5BWSommaire du match
155 - 2023-08-231252Wild3Bears1AWSommaire du match
157 - 2023-08-251257Wild4Reign0AWSommaire du match
159 - 2023-08-271279Comets7Wild9BWSommaire du match
165 - 2023-09-021310Comets1Wild6BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance81,40938,535
Assistance PCT99.28%93.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2925 - 97.52% 69,495$2,849,315$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,565,920$ 2,461,583$ 2,461,583$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,829$ 2,065,928$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 17,841$ 0$




Wild 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

Wild 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

Wild 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

Wild 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

Wild 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