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Iowa Wild
GP: 16 | W: 4 | L: 10 | OTL: 2 | P: 10
GF: 47 | GA: 64 | PP%: 20.45% | PK%: 71.05%
DG: Mathieu Petit | Morale : 50 | Moyenne d’équipe : 60
Prochains matchs #247 vs Wilkes-Barre Penguins

Centre de jeu
Iowa Wild
4-10-2, 10pts
2
FINAL
3 Tucson Roadrunners
8-8-0, 16pts
Team Stats
W1SéquenceL1
3-3-1Fiche domicile5-2-0
1-7-1Fiche domicile3-6-0
3-7-0Derniers 10 matchs5-5-0
2.94Buts par match 3.00
4.00Buts contre par match 3.63
20.45%Pourcentage en avantage numérique24.24%
71.05%Pourcentage en désavantage numérique79.49%
Tucson Roadrunners
8-8-0, 16pts
2
FINAL
4 Iowa Wild
4-10-2, 10pts
Team Stats
L1SéquenceW1
5-2-0Fiche domicile3-3-1
3-6-0Fiche domicile1-7-1
5-5-0Derniers 10 matchs3-7-0
3.00Buts par match 2.94
3.63Buts contre par match 4.00
24.24%Pourcentage en avantage numérique20.45%
79.49%Pourcentage en désavantage numérique71.05%
Wilkes-Barre Penguins
2-10-2, 6pts
Jour 37
Iowa Wild
4-10-2, 10pts
Statistiques d’équipe
L6SéquenceW1
2-5-1Fiche domicile3-3-1
0-5-1Fiche visiteur1-7-1
1-8-110 derniers matchs3-7-0
4.29Buts par match 2.94
6.29Buts contre par match 2.94
23.68%Pourcentage en avantage numérique20.45%
71.79%Pourcentage en désavantage numérique71.05%
Iowa Wild
4-10-2, 10pts
Jour 39
Tucson Roadrunners
8-8-0, 16pts
Statistiques d’équipe
W1SéquenceL1
3-3-1Fiche domicile5-2-0
1-7-1Fiche visiteur3-6-0
3-7-010 derniers matchs5-5-0
2.94Buts par match 3.00
4.00Buts contre par match 3.00
20.45%Pourcentage en avantage numérique24.24%
71.05%Pourcentage en désavantage numérique79.49%
Colorado Eagles
10-6-0, 20pts
Jour 41
Iowa Wild
4-10-2, 10pts
Statistiques d’équipe
L1SéquenceW1
4-3-0Fiche domicile3-3-1
6-3-0Fiche visiteur1-7-1
8-2-010 derniers matchs3-7-0
3.56Buts par match 2.94
3.31Buts contre par match 2.94
25.00%Pourcentage en avantage numérique20.45%
74.07%Pourcentage en désavantage numérique71.05%
Meneurs d'équipe
Julien GauthierButs
Julien Gauthier
8
Julien GauthierPasses
Julien Gauthier
12
Julien GauthierPoints
Julien Gauthier
20
Plus/Moins
Dylan Roobroeck
0
Zach SawchenkoVictoires
Zach Sawchenko
3
Pourcentage d’arrêts
Ty Young
0.875

Statistiques d’équipe
Buts pour
47
2.94 GFG
Tirs pour
542
33.88 Avg
Pourcentage en avantage numérique
20.5%
9 GF
Début de zone offensive
41.1%
Buts contre
64
4.00 GAA
Tirs contre
461
28.81 Avg
Pourcentage en désavantage numérique
71.1%%
11 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralMathieu Petit
EntraîneurPierre-Marc Bouchard
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité9,000
Assistance8,529
Billets de saison8,370


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 60
Espoirs9


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
1Walker DuehrXX100.00734083718477726840636364676353050670271775,000$
2Garrett PilonX100.00584567666368666456655760635551050620271775,000$
3Dylan RoobroeckX100.00644264626760586242586059615050050600212850,000$
4Hunter HaightX100.00554265626161606242586054615050050590212865,833$
5Stephen HallidayX97.00624267597064626257605753605150050590231950,000$
6Shane BowersXX100.00554171636366646042575351595350050580261775,000$
7Matthew WoodXX100.00564068627475605845525450555150050570202950,000$
8Casey FitzgeraldX100.00574862686171686340615665625852050630281775,000$
9David SpacekX100.00554270676165636440615559625050050610221862,500$
10Donovan SebrangoX100.00615060676562606040555665615150050610231775,000$
11Michael BuchingerX100.00574264626161595840555558585050050580212838,333$
12Stian SolbergX100.00624066626355535640545561585050050580192975,000$
Rayé
1Olle LycksellX100.005740747365746365456460606657500506302600$
2Julien GauthierX95.00704073637970676140565862617054050620281775,000$
3Tristen RobinsX100.005642726563646262535954526051500505902300$
4Tristan LuneauX89.46604167676261606440635965635050050620212865,000$
5Andrew PerrottX100.006344636566595755405152645751500506002400$
6Will MacKinnonX100.006144646464656258405252645852500506002500$
7Ty GallagherX100.006040666261585756405454615750500505802200$
MOYENNE D’ÉQUIPE99.0060426865666562614358565960535105060
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
1Zach Sawchenko99.0072646462666668646768595550050610271775,000$
2Ty Young100.0067575763636466656562575050050580212825,000$
Rayé
1William Rousseau100.00635757626160605861605450500505602200$
MOYENNE D’ÉQUIPE99.676759596263636562646357525005058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pierre-Marc Bouchard1111111CAN4151$


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
1Julien GauthierIowa Wild (MIN)RW1681220-1180302263215012.70%434121.330447370001180047.83%2300001.1712000221
2Walker DuehrMinnesota WildC/RW126713-100102957183310.53%626822.382248300000150048.04%28100000.9702000001
3David SpacekIowa Wild (MIN)D160880402423157100%1526016.250001400009000%100000.6200000000
4Stephen HallidayIowa Wild (MIN)C16448-24038486216366.45%233220.76000020000250054.95%27300000.4800000100
5Garrett PilonIowa Wild (MIN)C16347-128027464114427.32%229318.310224340000241155.50%40000000.4802000002
6Casey FitzgeraldIowa Wild (MIN)D16336-710030182171714.29%2331119.452241031000019010%100000.3900000000
7Shane BowersIowa Wild (MIN)C/RW16145-11001223299293.45%329018.15000435000060050.00%4400000.3400000000
8Tristan LuneauIowa Wild (MIN)D15235-88017141751211.76%1727118.08224928000016000%000000.3700000000
9Dylan RoobroeckIowa Wild (MIN)C7213000961831211.11%115422.05000216000031045.10%5100000.3900000001
10Michael BuchingerIowa Wild (MIN)D16033-14203410277170%1631619.760113360000130038.10%2100000.1900000000
11Lucas CarlssonMinnesota WildD9022-220715143180%716718.5701132100007000%000000.2400000000
12Donovan SebrangoIowa Wild (MIN)D4011-2001136130%35614.160000000000000%000000.3500000000
Statistiques d’équipe totales ou en moyenne159295281-605602492573701112797.84%99306219.26614205127800011592252.15%109500000.5316000325
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
1Zach SawchenkoIowa Wild (MIN)163920.8693.8086900554190020.4005160210
2Ty YoungIowa Wild (MIN)31100.8753.13960054000000016000
Statistiques d’équipe totales ou en moyenne1941020.8693.73966006045900251616210


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
Andrew PerrottIowa Wild (MIN)D242001-08-24USANo201 Lbs6 ft0NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Casey FitzgeraldIowa Wild (MIN)D281997-02-25USANo179 Lbs5 ft11NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$621,751$0$0$No---------------------------Lien NHL
David SpacekIowa Wild (MIN)D222003-02-18CZENo170 Lbs6 ft0NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm862,500$691,949$0$0$No---------------------------Lien NHL
Donovan SebrangoIowa Wild (MIN)D232002-01-12CANNo194 Lbs6 ft1NoNoFantasy DraftNoNo12025-09-04FalseFalsePro & Farm775,000$621,751$0$0$No---------------------------Lien NHL
Dylan RoobroeckIowa Wild (MIN)C212004-07-27CANNo205 Lbs6 ft7NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm850,000$681,921$0$0$No850,000$--------850,000$--------No--------
Garrett PilonIowa Wild (MIN)C271998-04-13USANo190 Lbs6 ft0NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$621,751$0$0$No---------------------------Lien NHL
Hunter HaightIowa Wild (MIN)C212004-04-04CANNo181 Lbs5 ft11NoNoTrade2025-09-25NoNo22025-05-26FalseFalsePro & Farm865,833$694,623$0$0$No865,833$--------865,833$--------No--------
Julien GauthierIowa Wild (MIN)RW281997-10-15CANNo227 Lbs6 ft4NoNoFantasy DraftNoNo12025-06-29FalseFalsePro & Farm775,000$621,751$0$0$No---------------------------Lien NHL
Matthew WoodIowa Wild (MIN)C/LW202005-02-06CANNo100 Lbs4 ft0NoNoTrade2025-11-05NoNo22025-06-10FalseFalsePro & Farm950,000$762,147$0$0$No950,000$--------950,000$--------No--------
Michael BuchingerIowa Wild (MIN)D212004-04-25CANNo181 Lbs6 ft0NoNoFantasy DraftNoNo22025-05-26FalseFalsePro & Farm838,333$672,561$0$0$No838,333$--------838,333$--------No--------
Olle LycksellIowa Wild (MIN)RW261999-08-24SWENo163 Lbs5 ft10NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Shane BowersIowa Wild (MIN)C/RW261999-07-30CANNo185 Lbs6 ft2NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$621,751$0$0$No---------------------------Lien NHL
Stephen HallidayIowa Wild (MIN)C232002-02-07USANo212 Lbs6 ft4NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm950,000$762,147$0$0$No---------------------------Lien NHL
Stian SolbergIowa Wild (MIN)D192005-12-29NORNo196 Lbs6 ft2NoNoTrade2025-09-25NoNo22025-05-26FalseFalsePro & Farm975,000$782,203$0$0$No975,000$--------975,000$--------No--------
Tristan Luneau (sur la masse salariale)Iowa Wild (MIN)D212004-01-12CANNo190 Lbs6 ft2NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm865,000$693,955$0$0$Yes865,000$--------865,000$--------No--------Lien NHL
Tristen RobinsIowa Wild (MIN)RW232001-11-15CANNo185 Lbs5 ft11NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Ty GallagherIowa Wild (MIN)D222003-03-06USANo187 Lbs6 ft0NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Ty YoungIowa Wild (MIN)G212004-09-11CANNo183 Lbs6 ft3NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm825,000$661,864$0$0$No825,000$--------825,000$--------No--------
Walker DuehrMinnesota WildC/RW271997-11-23USANo210 Lbs6 ft2NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm775,000$633,724$775,000$633,724$No---------------------------Lien NHL
Will MacKinnonIowa Wild (MIN)D252000-04-13USANo201 Lbs5 ft11NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
William RousseauIowa Wild (MIN)G222003-01-09CANNo183 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Zach SawchenkoIowa Wild (MIN)G271997-12-30CANNo185 Lbs6 ft1NoNoFantasy DraftNoNo12025-06-29FalseFalsePro & Farm775,000$621,751$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2223.50187 Lbs6 ft01.05609,394$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
130122
2Michael BuchingerGarrett PilonShane Bowers30122
3Stephen Halliday25122
415122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
130122
2Casey Fitzgerald30122
3David Spacek25122
4Michael Buchinger15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
2Michael BuchingerGarrett PilonShane Bowers50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Casey Fitzgerald50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Garrett PilonStephen Halliday50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Casey Fitzgerald50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15012250122
250122Casey Fitzgerald50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Garrett PilonStephen Halliday50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Casey Fitzgerald50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Shane Bowers, Stephen Halliday, Shane Bowers, Stephen Halliday
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, David Spacek, Michael BuchingerDavid Spacek, Michael Buchinger
Tirs de pénalité
, , Garrett Pilon, Stephen Halliday,
Gardien
#1 : Zach Sawchenko, #2 : Ty Young
Lignes d’attaque personnalisées en prolongation
, , Garrett Pilon, Stephen Halliday, , Shane Bowers, , , ,
Lignes de défense personnalisées en prolongation
, , Casey Fitzgerald, ,


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
1Bakersfield Condors1010000024-2000000000001010000024-200.00024610201314119187175174123313223100.00%10100.00%027653951.21%26250052.40%14127152.03%385270376112207103
2Calgary Wranglers1010000047-3000000000001010000047-300.000459002013141291871751741226122204250.00%10100.00%027653951.21%26250052.40%14127152.03%385270376112207103
3Coachella Valley Firebirds11000000312000000000001100000031221.00035800201314132187175174122712421200.00%20100.00%027653951.21%26250052.40%14127152.03%385270376112207103
4Colorado Eagles1010000045-11010000045-10000000000000.000481200201314135187175174123040203133.33%000%027653951.21%26250052.40%14127152.03%385270376112207103
5Henderson Silver Knights1010000024-21010000024-20000000000000.00024600201314138187175174122464144125.00%220.00%027653951.21%26250052.40%14127152.03%385270376112207103
6Manitoba Moose2110000078-1110000006511010000013-220.50071320102013141691871751741252261744300.00%6183.33%027653951.21%26250052.40%14127152.03%385270376112207103
7Milwaukee Admirals20200000511-61010000035-21010000026-400.000510150020131416718717517412712021516350.00%10460.00%027653951.21%26250052.40%14127152.03%385270376112207103
8Providence Bruins1000000112-11000000112-10000000000010.50012300201314136187175174123810023200.00%000%027653951.21%26250052.40%14127152.03%385270376112207103
9Rockford IceHogs1010000023-1000000000001010000023-100.00023500201314133187175174121872213133.33%10100.00%027653951.21%26250052.40%14127152.03%385270376112207103
10San Diego Gulls11000000541110000005410000000000021.000591400201314122187175174122696275120.00%3166.67%027653951.21%26250052.40%14127152.03%385270376112207103
11San Jose Barracuda1010000025-3000000000001010000025-300.00024600201314132187175174122415824400.00%4175.00%027653951.21%26250052.40%14127152.03%385270376112207103
12Texas Stars1000000145-1000000000001000000145-110.50048120020131414718717517412237030200.00%000%027653951.21%26250052.40%14127152.03%385270376112207103
13Tucson Roadrunners21100000651110000004221010000023-120.50061117002013141831871751741269212138500.00%8275.00%027653951.21%26250052.40%14127152.03%385270376112207103
Total16410000024764-17733000012527-2917000012237-15100.3134786133202013141542187175174124611628735644920.45%381171.05%027653951.21%26250052.40%14127152.03%385270376112207103
_Since Last GM Reset16410000024764-17733000012527-2917000012237-15100.3134786133202013141542187175174124611628735644920.45%381171.05%027653951.21%26250052.40%14127152.03%385270376112207103
_Vs Conference15410000014662-16633000002425-1917000012237-1590.3004684130202013141506187175174124231528733342921.43%381171.05%027653951.21%26250052.40%14127152.03%385270376112207103
_Vs Division926000012837-94220000017170504000011120-950.27828538110201314133418717517412263856120422522.73%25772.00%027653951.21%26250052.40%14127152.03%385270376112207103

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1610W147861335424611628735620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1641000024764
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73300012527
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
91700012237
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
44920.45%381171.05%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
187175174122013141
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
27653951.21%26250052.40%14127152.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
385270376112207103


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
16Iowa Wild2Bakersfield Condors4LSommaire du match
424San Diego Gulls4Iowa Wild5WSommaire du match
741Iowa Wild4Texas Stars5LXXSommaire du match
950Iowa Wild2Rockford IceHogs3LSommaire du match
1161Providence Bruins2Iowa Wild1LXXSommaire du match
1379Iowa Wild4Calgary Wranglers7LSommaire du match
1591Colorado Eagles5Iowa Wild4LSommaire du match
17103Iowa Wild1Manitoba Moose3LSommaire du match
19117Henderson Silver Knights4Iowa Wild2LSommaire du match
22136Iowa Wild2San Jose Barracuda5LSommaire du match
24154Milwaukee Admirals5Iowa Wild3LSommaire du match
26164Iowa Wild3Coachella Valley Firebirds1WSommaire du match
28179Iowa Wild2Milwaukee Admirals6LSommaire du match
29191Manitoba Moose5Iowa Wild6WSommaire du match
32215Iowa Wild2Tucson Roadrunners3LSommaire du match
33223Tucson Roadrunners2Iowa Wild4WSommaire du match
37247Wilkes-Barre Penguins-Iowa Wild-
39259Iowa Wild-Tucson Roadrunners-
41278Colorado Eagles-Iowa Wild-
43293Iowa Wild-Coachella Valley Firebirds-
47312Laval Rocket-Iowa Wild-
50337Rockford IceHogs-Iowa Wild-
55365Iowa Wild-Manitoba Moose-
56371Abbotsford Canucks-Iowa Wild-
59390Iowa Wild-Toronto Marlies-
61401Manitoba Moose-Iowa Wild-
65428Charlotte Checkers-Iowa Wild-
67441Iowa Wild-Calgary Wranglers-
70461Lehigh Valley Phantoms-Iowa Wild-
73478Iowa Wild-San Diego Gulls-
75493Bakersfield Condors-Iowa Wild-
79511Iowa Wild-Rochester Americans-
81524San Jose Barracuda-Iowa Wild-
85550Iowa Wild-Texas Stars-
87560Syracuse Crunch-Iowa Wild-
91584Tucson Roadrunners-Iowa Wild-
93598Iowa Wild-Springfield Thunderbirds-
95616Iowa Wild-Ontario Reign-
97625Texas Stars-Iowa Wild-
101651Milwaukee Admirals-Iowa Wild-
105678Utica Comets-Iowa Wild-
108695Iowa Wild-Rockford IceHogs-
110708Henderson Silver Knights-Iowa Wild-
112726Iowa Wild-Bakersfield Condors-
115740Iowa Wild-Hershey Bears-
116749San Diego Gulls-Iowa Wild-
118764Iowa Wild-Grand Rapids Griffins-
120775Iowa Wild-Belleville Senators-
121783San Diego Gulls-Iowa Wild-
124807Iowa Wild-Abbotsford Canucks-
126816Calgary Wranglers-Iowa Wild-
128824Iowa Wild-Cleveland Monsters-
130838Iowa Wild-Abbotsford Canucks-
132851Ontario Reign-Iowa Wild-
134868Iowa Wild-Henderson Silver Knights-
136880Iowa Wild-Milwaukee Admirals-
137888Texas Stars-Iowa Wild-
140907Iowa Wild-San Jose Barracuda-
142918Iowa Wild-Colorado Eagles-
143922Rockford IceHogs-Iowa Wild-
147951Iowa Wild-Colorado Eagles-
148955Providence Bruins-Iowa Wild-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152984Bridgeport Islanders-Iowa Wild-
1561009Chicago Wolves-Iowa Wild-
1611037Chicago Wolves-Iowa Wild-
1641052Iowa Wild-Chicago Wolves-
1661067Coachella Valley Firebirds-Iowa Wild-
1701087Iowa Wild-Ontario Reign-
1721102Hartford Wolf Pack-Iowa Wild-
1761115Iowa Wild-Chicago Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance39,78719,916
Assistance PCT94.73%94.84%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 8529 - 94.77% 426,386$2,984,700$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
278,059$ 1,176,666$ 1,176,666$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 278,059$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
11,938,800$ 142 6,648$ 944,016$




Iowa 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

Iowa 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

Iowa 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

Iowa 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

Iowa 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