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Iowa Wild
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jerome-William Bisson | Morale : 99 | Moyenne d’équipe : 66
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJerome-William Bisson
EntraîneurJoe Mullen
DivisionWestern
ConférenceConference 1
CapitaineAlexander Edler
Assistant #1
Assistant #2


Informations de l’aréna

Capacité10,000
Assistance
Billets de saison4,000


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 75
Espoirs0


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
1J.T.Miller XXX100.006731788477848366886565696580865499690301510,000$
2Mario KempeX100.0059248387748282695363735768989599968N0353525,000$
3Mike HoffmanXX100.00451099877282826686597069659399999680342500,001$
4Hugo CarpentierX100.007845737876767664886363706599991299680361750,000$
5Jack Dugan (R)X100.008249608776737581527174646845545399680251900,000$
6Yevgeni Oksentyuk (R)XX100.007230758066697283517375707346527299670221925,000$
7Filip Hallander (R)XXX100.005726848777747772846270716855646499670231700,000$
8Noah Ostlund (R)X100.006427787068707081817472717250538099660192925,000$
9Bo HorvatXX100.006834827677818159885560726570886899650292700,000$
10Mason Shaw (R)X100.006732747670737577847267656557545999650242800,000$
11Benoit-Olivier Groulx (R)X100.006837717076687164776164666861666999630232600,000$
12Cole Guttman (R)X100.00633172696764646873666962695558539962N0243525,000$
13Olle Lycksell (R)XXX100.00623272697164646873666862686755529962N0243525,000$
14Serron Noel (R)X100.007340726580646764465863686554517099610231500,000$
15Calen Addison (R)X100.007338747272818179527365626462716999680232915,000$
16Chris Martenet (R)X99.008249727384828350544954746052715699670262800,000$
17Alexander Edler (C)X100.001119889827979606356687969999923996703713,750,000$
18Matthew SpencerX100.008246646577676963526161736076786499660262975,000$
19Ryan Johnson (R)X100.007635777775828258545553725838535499660222640,000$
20Ryan O'Rourke (R)X100.007544687074737660526358766039507499650211900,000$
21Cameron AbneyX100.008255677681656552565561686373722599650322500,001$
22Connor Hall (R)X100.006637817379777947544548745545475499630252675,000$
Rayé
1Patrick BartschiX99.2470396776726059765469756274999819966N0391525,000$
2William Wallinder (R)X70.627340748278747478507070697045457699680201650,000$
MOYENNE D’ÉQUIPE98.67673576777574746765636569666569519966
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
1Semyon Varlamov100.008486838593929182807370827942997003511,499,999$
2Brian Foster100.00828583779180807979727083972999680352500,001$
3Filip Lindberg (R)100.00818081808380808080777860605499640241750,000$
Rayé
MOYENNE D’ÉQUIPE100.0082848281898484808074737579429967
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Mullen74878882999973USA635250,000$


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
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 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
Alexander EdlerIowa Wild (MIN)D371977-08-06 20:38:02No232 Lbs6 ft3NoNoN/ANoNo1Pro & Farm3,750,000$3,482,143$0$0$No------------------
Benoit-Olivier GroulxIowa Wild (MIN)C231991-08-31 20:49:35Yes200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm600,000$557,143$0$0$No600,000$--------No--------
Bo HorvatIowa Wild (MIN)C/LW291985-10-20 09:31:03No220 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$650,000$0$0$No700,000$--------No--------
Brian FosterIowa Wild (MIN)G351979-06-15 16:11:56No207 Lbs6 ft4NoNoN/ANoNo2Pro & Farm500,001$464,287$0$0$No500,001$--------No--------
Calen AddisonIowa Wild (MIN)D231991-08-31 21:37:25Yes189 Lbs5 ft10NoNoN/ANoNo2Pro & Farm915,000$849,643$0$0$No915,000$--------No--------
Cameron AbneyIowa Wild (MIN)D321982-09-15 06:59:45No219 Lbs6 ft5NoNoN/ANoNo2Pro & Farm500,001$464,287$0$0$No500,001$--------No--------
Chris MartenetIowa Wild (MIN)D261988-09-26 15:15:46Yes221 Lbs6 ft10NoNoN/ANoNo2Pro & Farm800,000$742,857$0$0$No800,000$--------No--------
Cole GuttmanIowa Wild (MIN)C241990-09-15 07:04:34Yes169 Lbs5 ft9YesNoN/ANoNo3Pro & Farm525,000$487,500$0$0$No525,000$525,000$-------YesYes-------
Connor HallIowa Wild (MIN)D251989-09-26 15:29:14Yes212 Lbs6 ft5NoNoN/ANoNo2Pro & Farm675,000$626,786$0$0$No675,000$--------No--------
Filip HallanderIowa Wild (MIN)C/LW/RW231991-09-04 18:53:43Yes202 Lbs6 ft3NoNoN/ANoNo1Pro & Farm700,000$650,000$0$0$No------------------
Filip LindbergIowa Wild (MIN)G241990-08-31 21:48:09Yes207 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$696,429$0$0$No------------------
Hugo CarpentierIowa Wild (MIN)C361978-10-20 10:04:16No207 Lbs6 ft2NoNoTrade2024-03-24NoNo1Pro & Farm750,000$696,429$0$0$No------------------
J.T.Miller Iowa Wild (MIN)C/LW/RW301984-10-14 11:39:21No218 Lbs6 ft1NoNoN/ANoNo1Pro & Farm510,000$473,571$0$0$No------------------
Jack DuganIowa Wild (MIN)LW251989-09-07 20:39:40Yes198 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$835,714$0$0$No------------------
Mario KempeIowa Wild (MIN)RW351979-08-06 08:38:02No196 Lbs6 ft0YesNoN/ANoNo3Pro & Farm525,000$487,500$0$0$No525,000$525,000$-------YesYes-------
Mason ShawIowa Wild (MIN)C241990-10-04 07:12:43Yes190 Lbs5 ft9NoNoN/ANoNo2Pro & Farm800,000$742,857$0$0$No800,000$--------No--------
Matthew SpencerIowa Wild (MIN)D261988-08-31 20:26:52No216 Lbs6 ft1NoNoN/ANoNo2Pro & Farm975,000$905,357$0$0$No975,000$--------No--------
Mike HoffmanIowa Wild (MIN)C/LW341980-08-06 14:38:02No190 Lbs5 ft11NoNoN/ANoNo2Pro & Farm500,001$464,287$0$0$No500,001$--------No--------
Noah OstlundIowa Wild (MIN)C191995-08-31 05:49:15Yes166 Lbs5 ft11NoNoTrade2024-03-24NoNo2Pro & Farm925,000$858,929$0$0$No925,000$--------No--------
Olle LycksellIowa Wild (MIN)C/LW/RW241990-09-15 07:06:13Yes178 Lbs5 ft11YesNoN/ANoNo3Pro & Farm525,000$487,500$0$0$No525,000$525,000$-------YesYes-------
Patrick BartschiIowa Wild (MIN)RW391975-09-19 11:01:41No198 Lbs5 ft10YesNoN/ANoNo1Pro & Farm525,000$487,500$0$0$No------------------
Ryan JohnsonIowa Wild (MIN)D221992-10-04 05:01:07Yes187 Lbs6 ft6NoNoN/ANoNo2Pro & Farm640,000$594,286$0$0$No640,000$--------No--------
Ryan O'RourkeIowa Wild (MIN)D211993-08-31 22:14:22Yes189 Lbs6 ft3NoNoTrade2024-03-29NoNo1Pro & Farm900,000$835,714$0$0$No------------------
Semyon VarlamovIowa Wild (MIN)G351979-08-06 08:38:02No217 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,499,999$1,392,856$0$0$No------------------
Serron NoelIowa Wild (MIN)RW231991-09-18 05:26:17Yes220 Lbs6 ft5NoNoN/ANoNo1Pro & Farm500,000$464,286$0$0$No------------------
William Wallinder (sur la masse salariale)Iowa Wild (MIN)D201994-09-18 05:19:08Yes196 Lbs6 ft6NoNoN/ANoNo1Pro & Farm650,000$603,571$0$0$Yes------------------
Yevgeni OksentyukIowa Wild (MIN)LW/RW221992-09-18 05:21:21Yes170 Lbs5 ft8NoNoN/ANoNo1Pro & Farm925,000$858,929$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2727.26201 Lbs6 ft21.67832,037$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack DuganNoah OstlundMario Kempe40122
2Mike HoffmanHugo CarpentierFilip Hallander30122
3Yevgeni OksentyukJ.T.Miller Olle Lycksell20122
4J.T.Miller Bo HorvatSerron Noel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonChris Martenet40122
2Alexander EdlerMatthew Spencer30122
3Ryan JohnsonRyan O'Rourke20122
4Cameron AbneyConnor Hall10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack DuganJ.T.Miller Mario Kempe60122
2Mike HoffmanHugo CarpentierFilip Hallander40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonChris Martenet60122
2Alexander EdlerMatthew Spencer40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1J.T.Miller Jack Dugan60122
2Hugo CarpentierMario Kempe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonChris Martenet60122
2Alexander EdlerMatthew Spencer40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1J.T.Miller 60122Calen AddisonChris Martenet60122
2Jack Dugan40122Alexander EdlerMatthew Spencer40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1J.T.Miller Jack Dugan60122
2Hugo CarpentierMario Kempe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonChris Martenet60122
2Alexander EdlerMatthew Spencer40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack DuganJ.T.Miller Mario KempeCalen AddisonChris Martenet
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack DuganJ.T.Miller Mario KempeCalen AddisonChris Martenet
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, Benoit-Olivier Groulx, Cole GuttmanMason Shaw, Benoit-Olivier GroulxCole Guttman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Johnson, Ryan O'Rourke, Cameron AbneyRyan JohnsonRyan O'Rourke, Cameron Abney
Tirs de pénalité
J.T.Miller , Jack Dugan, Hugo Carpentier, Mario Kempe, Mike Hoffman
Gardien
#1 : Semyon Varlamov, #2 : Brian Foster, #3 : Filip Lindberg
Lignes d’attaque personnalisées en prolongation
J.T.Miller , Jack Dugan, Hugo Carpentier, Mario Kempe, Mike Hoffman, Filip Hallander, Filip Hallander, Yevgeni Oksentyuk, Noah Ostlund, Bo Horvat, Mason Shaw
Lignes de défense personnalisées en prolongation
Calen Addison, Chris Martenet, Alexander Edler, Matthew Spencer, Ryan Johnson


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets3010
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 4,363,000$ 4,363,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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