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Connexion

Wild
GP: 82 | W: 66 | L: 11 | OTL: 5 | P: 137
GF: 379 | GA: 139 | PP%: 20.10% | PK%: 88.45%
DG: David | Morale : 50 | Moyenne d’équipe : 62

Centre de jeu
Silver Knights
62-17-3, 127pts
3
FINAL
1 Wild
66-11-5, 137pts
Team Stats
W1SéquenceL2
33-8-0Fiche domicile32-7-2
29-9-3Fiche domicile34-4-3
8-2-0Derniers 10 matchs6-4-0
4.40Buts par match 4.62
1.78Buts contre par match 1.70
19.95%Pourcentage en avantage numérique20.10%
88.70%Pourcentage en désavantage numérique88.45%
Wild
66-11-5, 137pts
2
FINAL
3 Monsters
54-24-4, 112pts
Team Stats
L2SéquenceW1
32-7-2Fiche domicile27-13-1
34-4-3Fiche domicile27-11-3
6-4-0Derniers 10 matchs7-3-0
4.62Buts par match 4.24
1.70Buts contre par match 2.40
20.10%Pourcentage en avantage numérique17.18%
88.45%Pourcentage en désavantage numérique83.90%
Meneurs d'équipe
Travis BoydButs
Travis Boyd
57
Travis BoydPasses
Travis Boyd
80
Travis BoydPoints
Travis Boyd
137
Travis BoydPlus/Moins
Travis Boyd
90
Victoires
Ken Appleby
49
Pourcentage d’arrêts
Ken Appleby
0.906

Statistiques d’équipe
Buts pour
379
4.62 GFG
Tirs pour
2419
29.50 Avg
Pourcentage en avantage numérique
20.1%
78 GF
Début de zone offensive
42.9%
Buts contre
139
1.70 GAA
Tirs contre
1364
16.63 Avg
Pourcentage en désavantage numérique
88.5%%
50 GA
Début de la zone défensive
34.5%
Informations de l'équipe

Directeur généralDavid
EntraîneurLane Lambert
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,885
Billets de saison0


Informations de la formation

Équipe Pro18
Équipe Mineure21
Limite contact 39 / 51
Espoirs25


Historique d'équipe

Saison actuelle66-11-5 (137PTS)
Historique66-11-8 (0.776%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)16 - 9 (0.640%)
Coupe Stanley1


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
1Travis BoydXX100.007670897070788267806264716166676950660321950,000$
2Andrew PoturalskiX100.007166837266777971806871646744447050660321950,000$
3Ryan Suzuki (R)X100.007772876772818664806757665444446550640241863,333$
4Egor SokolovXX100.008480926880818761505661685844446650630251850,000$
5Seth GriffithXX100.007165856865778066506861635844446650630331775,000$
6Michael SgarbossaXX100.007265877365595866806758665555556350620332775,000$
7Alex BelzileXX100.006774526874788264506460615744456350620342950,000$
8Sam Morton (R)X100.007568916468828762785960645744446450620261775,000$
9Mike SgarbossaX100.007368846768616164806956645344446250610331950,000$
10T.J. TynanX100.005957627357747764806856575346466250610342950,000$
11Jonathan GrudenX100.007070696470596154684756605344445750560251775,000$
12Curtis HallX100.008479956379373645563846644444445250520251925,000$
13Ian MitchellX100.006141958070677866254647722557576050650272950,000$
14Ben HuttonX100.007344997477613959255347692572735950630321900,000$
15Guillaume BriseboisX100.007367877367616644253340593846465150570283975,000$
Rayé
MOYENNE D’ÉQUIPE100.00726684707069716160585665514949625062
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
1Matthew Murray100.00644050747066697273723044446550640281800,000$
2Ken Appleby100.0056405085576271697272304444625062N0313800,000$
Rayé
1Troy Grosenick100.00594759736466586468663044446150600361950,000$
MOYENNE D’ÉQUIPE100.0060425377646566687170304444635062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lane Lambert85868387908456CAN601925,000$


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
1Travis BoydWild (MIN)C/RW8257801379047510123133712121916.91%35194123.6812213354288268163639267.78%144000031.41250101568
2Egor SokolovWild (MIN)LW/RW82456911490107251571062448317818.44%17166320.2910182849299011417110146.53%10100001.37121138910
3Ryan SuzukiWild (MIN)C823668104667151131772377017215.19%19181722.174242833291426102998168.16%145100011.14050105512
4Seth GriffithWild (MIN)C/RW82386410275460701392846417513.38%15173621.18816245129921342026253.62%20700021.1724000684
5Alex BelzileWild (MIN)C/RW82395594659751301042136016118.31%7138416.89101222331980000319457.61%9200011.3600001376
6Ian MitchellWild (MIN)D8219739285840146831204110915.83%89185622.64111728672971454294310%000010.9900000534
7Sam MortonWild (MIN)LW823941805946055852185715917.89%3147117.9561218342990000196173.68%7600001.0901000594
8Michael SgarbossaWild (MIN)C/RW8228416952440441411924514314.58%12122114.901014430001524069.52%86600001.1300000316
9Ben HuttonWild (MIN)D82134558537201136789204514.61%59167620.447101749265011124610100.00%100000.6900000114
10Andrew PoturalskiWild (MIN)C321440544216026931353910410.37%375023.4529111811121371551168.00%87200011.4402000750
11T.J. TynanWild (MIN)C82182846565009278126389314.29%15124915.2432526107000003073.83%10700010.7400000331
12Mike SgarbossaWild (MIN)C82439436466090414810198.33%29122714.970119451012731060.00%4000000.7000000001
13Jonathan GrudenWild (MIN)LW8210213149495784111635738.62%7122814.9801154000031000070.45%13200000.5000100021
14Guillaume BriseboisWild (MIN)D82912216110201463538142123.68%51164720.09426112430000279210%000000.2500000012
15Curtis HallWild (MIN)C828311588610100112161638.10%30106212.960000000000100%000000.2100200021
Statistiques d’équipe totales ou en moyenne1180377679105696598355146114322418703168715.59%3912193618.59781452234432831121628522290641467.30%5385000100.96519434616264
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
1Ken ApplebyWild (MIN)6049740.9061.613514215949980010.700106012402
2Troy GrosenickWild (MIN)76000.8831.9140800131110000.500461000
3Matthew MurrayWild (MIN)64200.8901.8435901111000000060001
Statistiques d’équipe totales ou en moyenne7359940.9021.6542822161181209001147213403


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex BelzileWild (MIN)C/RW341991-08-31CANNo205 Lbs6 ft0NoNoFree AgentNoYes22024-10-17FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Andrew PoturalskiWild (MIN)C321994-01-14USANo187 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Ben HuttonWild (MIN)D321993-04-20CANNo209 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien / Lien NHL
Curtis HallWild (MIN)C252000-04-26USANo212 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Egor SokolovWild (MIN)LW/RW252000-06-07RUSNo217 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Guillaume BriseboisWild (MIN)D281997-07-21CANNo175 Lbs6 ft2NoNoFree Agent2024-02-12NoYes32024-08-08FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien / Lien NHL
Ian MitchellWild (MIN)D271999-01-18CANNo192 Lbs6 ft0NoNoFree AgentNoYes22024-08-16FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Jonathan GrudenWild (MIN)LW252000-05-04USANo192 Lbs6 ft0NoNoN/ANoYes12024-06-30FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Ken ApplebyWild (MIN)G311995-04-10ONTNo210 Lbs6 ft4YesNoFree AgentNoYes32025-08-21FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------YesYes-------Lien
Matthew MurrayWild (MIN)G281998-02-02ABNo194 Lbs6 ft1NoNoTrade2025-10-13NoYes1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Michael SgarbossaWild (MIN)C/RW331992-07-25CANNo179 Lbs6 ft0NoNoAssign ManuallyNoYes22025-06-14FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Mike SgarbossaWild (MIN)C331992-07-25ONTNo185 Lbs6 ft0NoNoAssign ManuallyNoYes12025-08-28FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Ryan SuzukiWild (MIN)C242001-05-28CANYes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Lien
Sam MortonWild (MIN)LW261999-07-28USAYes185 Lbs6 ft0NoNoAssign ManuallyNoYes12025-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Seth GriffithWild (MIN)C/RW331993-01-04CANNo185 Lbs5 ft9NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
T.J. TynanWild (MIN)C341992-02-25USANo160 Lbs5 ft8NoNoFree AgentNoYes22024-10-17FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Travis BoydWild (MIN)C/RW321993-09-14USANo190 Lbs6 ft0NoNoFree AgentNoYes12024-08-08FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Troy GrosenickWild (MIN)G361989-08-27USANo190 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1829.89192 Lbs6 ft11.44881,296$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor SokolovTravis BoydSeth Griffith40122
2Sam MortonRyan SuzukiAlex Belzile30122
3Jonathan GrudenAndrew PoturalskiMichael Sgarbossa20122
4Andrew PoturalskiT.J. TynanTravis Boyd10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian MitchellBen Hutton40122
2Guillaume BriseboisT.J. Tynan30122
3Mike SgarbossaCurtis Hall20122
4Ian MitchellBen Hutton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor SokolovAndrew PoturalskiTravis Boyd60122
2Sam MortonRyan SuzukiSeth Griffith40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian MitchellBen Hutton60122
2Guillaume BriseboisT.J. Tynan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andrew PoturalskiTravis Boyd60122
2Ryan SuzukiSeth Griffith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian MitchellBen Hutton60122
2Guillaume Brisebois40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andrew Poturalski60122Ian MitchellBen Hutton60122
2Travis Boyd40122Guillaume Brisebois40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andrew PoturalskiTravis Boyd60122
2Ryan SuzukiSeth Griffith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian MitchellBen Hutton60122
2Guillaume Brisebois40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Egor SokolovAndrew PoturalskiTravis BoydIan MitchellBen Hutton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Egor SokolovAndrew PoturalskiTravis BoydIan MitchellBen Hutton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Belzile, Michael Sgarbossa, Mike SgarbossaAlex Belzile, Michael SgarbossaMike Sgarbossa
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Guillaume Brisebois, Ian Mitchell, Ben HuttonGuillaume BriseboisIan Mitchell, Ben Hutton
Tirs de pénalité
Andrew Poturalski, Travis Boyd, Ryan Suzuki, Seth Griffith, Egor Sokolov
Gardien
#1 : Matthew Murray, #2 : Ken Appleby
Lignes d’attaque personnalisées en prolongation
Andrew Poturalski, Travis Boyd, Ryan Suzuki, Seth Griffith, Egor Sokolov, Sam Morton, Alex Belzile, Michael Sgarbossa, T.J. Tynan, Mike Sgarbossa
Lignes de défense personnalisées en prolongation
Ian Mitchell, Ben Hutton, Guillaume Brisebois, ,


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 Americans40300001514-92020000014-320100001410-610.1255101500147141841074787816786497822588117211.76%26676.92%01585229669.03%1213184565.75%827120568.63%251119021515499933521
2Admirals440000002231922000000130132200000093681.000224264021471418410137787816786495717636823521.74%210100.00%11585229669.03%1213184565.75%827120568.63%251119021515499933521
3Barracuda22000000835110000005141100000032141.00081523001471418410437878167864929724445240.00%11281.82%01585229669.03%1213184565.75%827120568.63%251119021515499933521
4Bears2200000015312110000007251100000081741.0001524390014714184101067878167864928920357114.29%90100.00%11585229669.03%1213184565.75%827120568.63%251119021515499933521
5Bruins431000001411332100000111011100000031260.750142539001471418410101787816786497724488116212.50%22577.27%11585229669.03%1213184565.75%827120568.63%251119021515499933521
6Canucks210000015501000000123-11100000032130.7505101500147141841038787816786494663247800.00%13284.62%11585229669.03%1213184565.75%827120568.63%251119021515499933521
7Checkers211000006421010000023-11100000041320.500612180014714184104878781678649221220361119.09%9188.89%01585229669.03%1213184565.75%827120568.63%251119021515499933521
8Comets21000010133101000001021111000000112941.000132134001471418410927878167864941712394250.00%50100.00%01585229669.03%1213184565.75%827120568.63%251119021515499933521
9Condors22000000716110000004041100000031241.000713200114714184106578781678649156143210330.00%70100.00%01585229669.03%1213184565.75%827120568.63%251119021515499933521
10Crunch2110000026-41010000005-51100000021120.5002350014714184103078781678649541422331100.00%11281.82%01585229669.03%1213184565.75%827120568.63%251119021515499933521
11Eagles21000100743110000004041000010034-130.7507132001147141841040787816786494810224012216.67%100100.00%01585229669.03%1213184565.75%827120568.63%251119021515499933521
12Firebirds44000000353322200000023221220000001211181.00035639801147141841016978781678649471030786350.00%15286.67%01585229669.03%1213184565.75%827120568.63%251119021515499933521
13Griffins21001000734100010004311100000030341.0007111801147141841047787816786492510202416212.50%10190.00%11585229669.03%1213184565.75%827120568.63%251119021515499933521
14Gulls220000001801811000000707110000001101141.00018314902147141841011878781678649736364125.00%30100.00%01585229669.03%1213184565.75%827120568.63%251119021515499933521
15Ice Hogs550000004233922000000170173300000025322101.00042771190314714184102547878167864945154910013538.46%21195.24%31585229669.03%1213184565.75%827120568.63%251119021515499933521
16Islanders2200000017116110000009091100000081741.000173148011471418410987878167864920614395120.00%70100.00%11585229669.03%1213184565.75%827120568.63%251119021515499933521
17Marlies22000000844110000003211100000052341.000814220014714184104778781678649421727349333.33%11190.91%11585229669.03%1213184565.75%827120568.63%251119021515499933521
18Monsters31101000972100010003212110000065140.6679162500147141841059787816786494419404930413.33%18288.89%01585229669.03%1213184565.75%827120568.63%251119021515499933521
19Moose430010001376220000006332100100074381.00013253801147141841092787816786497623526730723.33%25196.00%01585229669.03%1213184565.75%827120568.63%251119021515499933521
20Penguins22000000945110000005141100000043141.0009152400147141841071787816786493618262711218.18%13284.62%01585229669.03%1213184565.75%827120568.63%251119021515499933521
21Phantoms210000014401000000123-11100000021130.7504812001471418410347878167864950123725700.00%15286.67%01585229669.03%1213184565.75%827120568.63%251119021515499933521
22Reign22000000835110000005231100000031241.0008162400147141841045787816786493914473614321.43%15286.67%01585229669.03%1213184565.75%827120568.63%251119021515499933521
23Roadrunners210010001239100010003211100000091841.000122234001471418410657878167864933822376233.33%11281.82%01585229669.03%1213184565.75%827120568.63%251119021515499933521
24Rocket22000000303110000001011100000020241.0003580214714184103478781678649241030359111.11%150100.00%01585229669.03%1213184565.75%827120568.63%251119021515499933521
25Senators22000000954110000004311100000052341.000916250014714184105178781678649247333917317.65%13284.62%01585229669.03%1213184565.75%827120568.63%251119021515499933521
26Silver Knights40200110711-42010001045-12010010036-330.3757121900147141841064787816786498423625423313.04%22577.27%01585229669.03%1213184565.75%827120568.63%251119021515499933521
27Stars4310000024111322000000135821100000116560.750244569101471418410112787816786498317319621838.10%12283.33%01585229669.03%1213184565.75%827120568.63%251119021515499933521
28Thunderbirds44000000332312200000019118220000001411381.00033548702147141841016278781678649581630749333.33%15193.33%21585229669.03%1213184565.75%827120568.63%251119021515499933521
29Wolf Pack22000000523110000004221100000010141.000581301147141841043787816786494412283314321.43%140100.00%01585229669.03%1213184565.75%827120568.63%251119021515499933521
30Wolves21001000615100010001011100000051441.000612180114714184104678781678649481440367342.86%18194.44%01585229669.03%1213184565.75%827120568.63%251119021515499933521
31Wranglers2110000068-21010000036-31100000032120.500611170014714184103478781678649401134341317.69%16568.75%01585229669.03%1213184565.75%827120568.63%251119021515499933521
Total825911052233791392404126704022187711164133401201192681241370.83537968010591191471418410241978781678649136439999314893887820.10%4335088.45%121585229669.03%1213184565.75%827120568.63%251119021515499933521
_Since Last GM Reset825911052233791392404126704022187711164133401201192681241370.83537968010591191471418410241978781678649136439999314893887820.10%4335088.45%121585229669.03%1213184565.75%827120568.63%251119021515499933521
_Vs Conference4734702211247761712317401010127319624173012011204575770.81924744969611314714184101474787816786497392025448772065024.27%2302987.39%61585229669.03%1213184565.75%827120568.63%251119021515499933521
_Vs Division25236011111533312012123000107511641311301101782256521.040153278431191471418410862787816786494001062694821143228.07%115793.91%61585229669.03%1213184565.75%827120568.63%251119021515499933521

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82137L23796801059241913643999931489119
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8259115223379139
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41267402218771
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41334120119268
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3887820.10%4335088.45%12
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
787816786491471418410
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
1585229669.03%1213184565.75%827120568.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
251119021515499933521


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
316Bruins5Wild6WSommaire du match
533Silver Knights2Wild3WXXSommaire du match
640Wild8Ice Hogs2WSommaire du match
965Thunderbirds1Wild8WSommaire du match
1077Wild8Firebirds1WSommaire du match
1397Wild7Thunderbirds1WSommaire du match
15105Admirals0Wild7WSommaire du match
17120Wild2Silver Knights3LXSommaire du match
19136Moose3Wild4WSommaire du match
21147Wild8Stars1WSommaire du match
24169 Americans1Wild0LSommaire du match
26187Wild4Moose3WXSommaire du match
29207Wild6Admirals2WSommaire du match
30216Firebirds1Wild11WSommaire du match
32232Wild3 Americans4LXXSommaire du match
35246Bruins3Wild2LSommaire du match
37266Wild5Marlies2WSommaire du match
39274Canucks3Wild2LXXSommaire du match
41294Wild8Bears1WSommaire du match
43304Wild3Eagles4LXSommaire du match
44317Admirals0Wild6WSommaire du match
47337Monsters2Wild3WXSommaire du match
49352Wild2Crunch1WSommaire du match
51369Stars2Wild6WSommaire du match
55396Reign2Wild5WSommaire du match
57413Wild5Senators2WSommaire du match
59427Roadrunners2Wild3WXSommaire du match
61445Wild1Wolf Pack0WSommaire du match
62455Wild1 Americans6LSommaire du match
64468Senators3Wild4WSommaire du match
68490Griffins3Wild4WXSommaire du match
70506Wild9Roadrunners1WSommaire du match
72525Islanders0Wild9WSommaire du match
74533Wild3Admirals1WSommaire du match
77554Eagles0Wild4WSommaire du match
79572Wild4Checkers1WSommaire du match
81588Condors0Wild4WSommaire du match
83602Wild7Thunderbirds0WSommaire du match
85614Wild3Wranglers2WSommaire du match
87626Bruins2Wild3WSommaire du match
89648Wild3Bruins1WSommaire du match
91659Wild8Islanders1WSommaire du match
92668Moose0Wild2WSommaire du match
94689Wranglers6Wild3LSommaire du match
97708Wild3Stars5LSommaire du match
99720Penguins1Wild5WSommaire du match
101737Wild1Silver Knights3LSommaire du match
102749Wild3Moose1WSommaire du match
104761Ice Hogs0Wild7WSommaire du match
107783Thunderbirds0Wild11WSommaire du match
111810Wild11Gulls0WSommaire du match
113820Gulls0Wild7WSommaire du match
115837Wild4Firebirds0WSommaire du match
116849Comets1Wild2WXXSommaire du match
120873 Americans3Wild1LSommaire du match
122888Wild2Phantoms1WSommaire du match
125908Phantoms3Wild2LXXSommaire du match
127924Wild3Reign1WSommaire du match
129936Wild3Griffins0WSommaire du match
130945Wolves0Wild1WXSommaire du match
133966Wild3Barracuda2WSommaire du match
134976Ice Hogs0Wild10WSommaire du match
136989Wild5Ice Hogs0WSommaire du match
1391007Firebirds1Wild12WSommaire du match
1411023Wild5Wolves1WSommaire du match
1431033Wild4Penguins3WSommaire du match
1451046Bears2Wild7WSommaire du match
1471065Wild2Rocket0WSommaire du match
1491074Wild3Canucks2WSommaire du match
1501084Stars3Wild7WSommaire du match
1531109Marlies2Wild3WSommaire du match
1551120Wild3Condors1WSommaire du match
1581142Wolf Pack2Wild4WSommaire du match
1611168Crunch5Wild0LSommaire du match
1631180Wild12Ice Hogs1WSommaire du match
1661204Checkers3Wild2LSommaire du match
1701231Rocket0Wild1WSommaire du match
1711246Wild11Comets2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1741262Barracuda1Wild5WSommaire du match
1751273Wild4Monsters2WSommaire du match
1791294Silver Knights3Wild1LSommaire du match
1801302Wild2Monsters3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets550
Assistance79,29438,984
Assistance PCT96.70%95.08%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2885 - 96.16% 106,370$4,361,170$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,627,192$ 1,586,333$ 1,586,333$ 925,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,621$ 1,702,200$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,649$ 0$




Wild 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
1Travis Boyd825780137904710123133716.91%35194123.6812213354268169267.78%31.4125
2Egor Sokolov8245691149010715710624418.44%17166320.2910182849011410146.53%01.3712
3Ryan Suzuki823668104667111317723715.19%19181722.174242833426108168.16%11.1405
4Seth Griffith82386410275467013928413.38%15173621.18816245121346253.62%21.1724
5Alex Belzile82395594659713010421318.31%7138416.891012223300009457.61%11.3600

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
1Ken Appleby6049740.9061.613514215949980010.70010
2Troy Grosenick76000.8831.9140800131110000.5004
3Matthew Murray64200.8901.84359011110000000

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
Saison régulière
20258259110522337913924041267040221877111641334012011926812413737968010591191471418410241978781678649136439999314893887820.10%4335088.45%121585229669.03%1213184565.75%827120568.63%251119021515499933521
Total Saison régulière8259110522337913924041267040221877111641334012011926812413737968010591191471418410241978781678649136439999314893887820.10%4335088.45%121585229669.03%1213184565.75%827120568.63%251119021515499933521
Séries éliminatoires
20242516900000665791376000003537-21293000003120113266122188132122212478140153167184701334014701422416.90%1501888.00%038771953.82%39470955.57%23140856.62%652444592192331170
Total Séries éliminatoires2516900000665791376000003537-21293000003120113266122188132122212478140153167184701334014701422416.90%1501888.00%038771953.82%39470955.57%23140856.62%652444592192331170

Wild 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
1Sam Gagner2210919488273925.64%037617.136391300014048.15%01.0100
2Egor Sokolov257111844951244216.67%350720.29178700004146.94%00.7100
3Andrew Poturalski25891702933515315.09%151220.503581300031155.27%00.6600
4Ian Mitchell2521517-11214211711.76%1655222.10268140000100%00.6200
5Brett Ritchie25781502347163221.88%044017.63033900002133.33%00.6800

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
1Troy Grosenick2516810.8832.131466435244400100
2Michael Hutchinson30000.8402.221080042500000