Connexion

Iowa Wild
GP: 35 | W: 16 | L: 17 | OTL: 2 | P: 34
GF: 109 | GA: 122 | PP%: 35.16% | PK%: 78.18%
DG: Interim | Morale : 99 | Moyenne d’équipe : 65
Prochains matchs #466 vs San Jose Barracuda
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Centre de jeu
Iowa Wild
16-17-2, 34pts
3
FINAL
2 Rockford IceHogs
16-15-2, 34pts
Team Stats
L1SéquenceL1
9-8-1Fiche domicile9-8-1
7-9-1Fiche domicile7-7-1
4-5-1Derniers 10 matchs4-5-1
3.11Buts par match 3.12
3.49Buts contre par match 3.00
35.16%Pourcentage en avantage numérique26.97%
78.18%Pourcentage en désavantage numérique85.57%
Iowa Wild
16-17-2, 34pts
2
FINAL
10 Abbotsford's Canucks
22-9-1, 45pts
Team Stats
L1SéquenceW6
9-8-1Fiche domicile13-2-0
7-9-1Fiche domicile9-7-1
4-5-1Derniers 10 matchs8-2-0
3.11Buts par match 3.75
3.49Buts contre par match 2.94
35.16%Pourcentage en avantage numérique13.64%
78.18%Pourcentage en désavantage numérique82.76%
San Jose Barracuda
15-15-2, 32pts
Jour 79
Iowa Wild
16-17-2, 34pts
Statistiques d’équipe
W1SéquenceL1
7-9-1Fiche domicile9-8-1
8-6-1Fiche visiteur7-9-1
5-5-010 derniers matchs4-5-1
3.41Buts par match 3.11
3.34Buts contre par match 3.11
20.24%Pourcentage en avantage numérique35.16%
74.42%Pourcentage en désavantage numérique78.18%
Texas Stars
21-8-4, 46pts
Jour 83
Iowa Wild
16-17-2, 34pts
Statistiques d’équipe
W1SéquenceL1
10-4-3Fiche domicile9-8-1
11-4-1Fiche visiteur7-9-1
4-3-310 derniers matchs4-5-1
3.39Buts par match 3.11
2.73Buts contre par match 3.11
42.86%Pourcentage en avantage numérique35.16%
81.61%Pourcentage en désavantage numérique78.18%
Iowa Wild
16-17-2, 34pts
Jour 86
Manitoba Moose
17-14-3, 37pts
Statistiques d’équipe
L1SéquenceL3
9-8-1Fiche domicile8-10-1
7-9-1Fiche visiteur9-4-2
4-5-110 derniers matchs3-6-1
3.11Buts par match 3.09
3.49Buts contre par match 3.09
35.16%Pourcentage en avantage numérique12.24%
78.18%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Buts
Mario Kempe
18
Passes
Filip Hallander
23
Points
Filip Hallander
38
Plus/Moins
Serron Noel
8
Victoires
Brian Foster
13
Pourcentage d’arrêts
Filip Lindberg
0.931

Statistiques d’équipe
Buts pour
109
3.11 GFG
Tirs pour
1299
37.11 Avg
Pourcentage en avantage numérique
35.2%
32 GF
Début de zone offensive
38.4%
Buts contre
122
3.49 GAA
Tirs contre
1400
40.00 Avg
Pourcentage en désavantage numérique
78.2%%
24 GA
Début de la zone défensive
39.2%
Informations de l'équipe

Directeur généralInterim
EntraîneurJoe Mullen
DivisionWestern
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité10,000
Assistance10,000
Billets de saison4,000


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 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
1Noah Ostlund (R)X98.006225807869727282847573727251547999680201925,000$
2Filip HallanderXXX96.0056258587767679728662707168576662996802431,100,000$
3Jack DuganX100.0085525987757577835173766368465552996802621,175,000$
4Mario KempeX96.00582383857380806953647456689997799670362525,000$
5Mason ShawX99.006631778470757777867267646559565799670251800,000$
6Bo HorvatXX100.006733837979838359885560726572906699660301700,000$
7Kole LindX98.006027838479747966496666676852516599650253600,000$
8Benoit-Olivier GroulxX97.006837737877707363796063656863686799640241600,000$
9Cole GuttmanX100.006028757768666670756871626957605199640252525,000$
10Cameron HillisX100.006331757769656569766967636862706399640242500,000$
11Olle LycksellXXX100.006030767771666667746567626868565199630252525,000$
12Serron NoelX95.007239757381666962465661676557546799620243550,000$
13Artyom Levshunov (R)X98.007635757379707071637371717138519399670183925,000$
14Ryan Johnson (R)X100.007736768576848458545553715841565199670231640,000$
15Ryan O'Rourke (R)X100.0078476778757578595262577560425371996702221,000,000$
16Cameron AbneyX100.008558667980676752565561676377762199650331500,001$
17Vladislav Kolyachonok (R)X100.006128847377727658506160716455656999640232660,000$
18Connor HallX100.006536827679798146544447745547495299630261675,000$
Rayé
1Mike HoffmanXX100.0042799877382826787607169659799599680351500,001$
2Chris MartenetX100.008552717683848549544853746056755299680271800,000$
MOYENNE D’ÉQUIPE98.85673477807574756566626468656065559966
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
1Brian Foster100.00808381778981818080727085992399680361500,001$
2Filip Lindberg100.00818381808680808080777862625399650253750,000$
3Josef Korenar95.0069707475656565656569657674649957N0263500,001$
Rayé
MOYENNE D’ÉQUIPE98.3377797977807575757573717478479963
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Mullen76888687999969USA654250,000$


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
1Filip HallanderIowa Wild (MIN)C/LW/RW30152338-500304515145819.93%1966622.206101621650004674051.19%2523120001.1413000404
2Mike HoffmanIowa Wild (MIN)C/LW2292231-400154510433518.65%1249422.483111421540000612052.26%6871314201.2501000021
3Noah OstlundIowa Wild (MIN)C35141731-1440506214151799.93%2168319.53751214470002241150.50%6001913000.9101000041
4Mario KempeIowa Wild (MIN)RW35181129-21003536155497911.61%1166819.095492058000260133.33%423010000.8700000213
5Jack DuganIowa Wild (MIN)LW22121426-7420462313942748.63%950222.8252715410110441236.36%1102610011.0403000222
6Mason ShawIowa Wild (MIN)C3510717-740282694275010.64%1044612.77101220003331252.13%305117100.7600000012
7Ryan JohnsonIowa Wild (MIN)D3501010-32754127249130%3764218.36033237000246000%0328000.3100010001
8Ryan O'RourkeIowa Wild (MIN)D324610-840042355421227.41%5871922.484261471011373100%0735010.2800000100
9Benoit-Olivier GroulxIowa Wild (MIN)C35549-514027205217249.62%1739611.32000150000101253.60%12569000.4500000100
10Kole LindIowa Wild (MIN)RW35369-136020254936336.12%1646513.31022618000000044.44%18188000.3900000000
11Olle LycksellIowa Wild (MIN)C/LW/RW26549-38037196315297.94%843716.83011013101181050.00%181410000.4100000011
12Artyom LevshunovIowa Wild (MIN)D35178-616046244419172.27%4668219.49000843011061000%01727000.2301000000
13Serron NoelIowa Wild (MIN)RW35538860272539231612.82%2748513.8800000000000134.78%231012000.3300000001
14Cole GuttmanIowa Wild (MIN)C3535834014104610306.52%72597.42000001121142047.41%135126000.6200000100
15Cameron HillisIowa Wild (MIN)C2915610034195145.26%21043.6000021000020080.00%1541001.1500000000
16Chris MartenetIowa Wild (MIN)D19055-1012040242814110%4954228.55022348000259000%0322000.1800000000
17Bo HorvatIowa Wild (MIN)C/LW22055-3802722359170%1035316.05033429000040055.56%18712000.2800000000
18Connor HallIowa Wild (MIN)D35033-4207103320%132346.700000000009000%016000.2600000000
19Vladislav KolyachonokIowa Wild (MIN)D3503300071816880%3643712.5100000000133000%0114000.1400000000
20Cameron AbneyIowa Wild (MIN)D350220100242116180%2642612.180000200009000%0411000.0900000000
Statistiques d’équipe totales ou en moyenne622105162267-82213556652112724376588.25%434964915.513145761335422462157014950.34%2348237275320.5519010111116
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
1Brian FosterIowa Wild (MIN)25131110.9213.0815024077978462220.5002250430
2Filip LindbergIowa Wild (MIN)52300.9312.763040014204106001.0003526200
3Josef KorenarIowa Wild (MIN)31110.9104.05163001112272000.667337110
Statistiques d’équipe totales ou en moyenne33161520.9223.1119694010213046402283333740


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
Artyom LevshunovIowa Wild (MIN)D181996-09-03Yes209 Lbs6 ft2NoNoProspectNoNo32024-09-02Pro & Farm925,000$552,094$0$0$No925,000$925,000$-------NoNo-------
Benoit-Olivier GroulxIowa Wild (MIN)C241990-08-31No203 Lbs6 ft2NoNoN/ANoNo1Pro & Farm600,000$358,115$0$0$No------------------
Bo HorvatIowa Wild (MIN)C/LW301984-10-20No220 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$417,801$0$0$No------------------
Brian FosterIowa Wild (MIN)G361978-06-15No207 Lbs6 ft4NoNoN/ANoNo1Pro & Farm500,001$298,430$0$0$No------------------
Cameron AbneyIowa Wild (MIN)D331981-09-15No220 Lbs6 ft5NoNoN/ANoNo1Pro & Farm500,001$298,430$0$0$No------------------
Cameron HillisIowa Wild (MIN)C241990-08-17No177 Lbs5 ft9NoNoTrade2024-07-11NoNo2Pro & Farm500,000$298,429$0$0$No500,000$--------No--------
Chris MartenetIowa Wild (MIN)D271987-09-26No221 Lbs6 ft10NoNoN/ANoNo1Pro & Farm800,000$477,487$0$0$No------------------
Cole GuttmanIowa Wild (MIN)C251989-09-15No172 Lbs5 ft9NoNoN/ANoNo2Pro & Farm525,000$313,351$0$0$No525,000$--------No--------
Connor HallIowa Wild (MIN)D261988-09-26No214 Lbs6 ft5NoNoN/ANoNo1Pro & Farm675,000$402,880$0$0$No------------------
Filip HallanderIowa Wild (MIN)C/LW/RW241990-09-04No205 Lbs6 ft3NoNoFree AgentNoNo32024-09-14Pro & Farm1,100,000$656,545$0$0$No1,100,000$1,100,000$-------NoNo-------
Filip LindbergIowa Wild (MIN)G251989-08-31No209 Lbs6 ft1NoNoFree AgentNoNo32024-09-14Pro & Farm750,000$447,644$0$0$No750,000$750,000$-------NoNo-------
Jack DuganIowa Wild (MIN)LW261988-09-07No199 Lbs6 ft2NoNoFree AgentNoNo22024-09-14Pro & Farm1,175,000$701,309$0$0$No1,175,000$--------No--------
Josef Korenar (sur la masse salariale)Iowa Wild (MIN)G261988-09-01No190 Lbs6 ft1YesNoFree AgentNoNo32024-10-23Pro & Farm500,001$298,430$0$0$No500,001$500,001$-------YesYes-------
Kole LindIowa Wild (MIN)RW251989-09-04No207 Lbs6 ft5NoNoFree Agent2024-07-10NoNo32024-09-02Pro & Farm600,000$358,115$0$0$No600,000$600,000$-------NoNo-------
Mario KempeIowa Wild (MIN)RW361978-08-06No196 Lbs6 ft0NoNoN/ANoNo2Pro & Farm525,000$313,351$0$0$No525,000$--------No--------
Mason ShawIowa Wild (MIN)C251989-10-04No191 Lbs5 ft9NoNoN/ANoNo1Pro & Farm800,000$477,487$0$0$No------------------
Mike HoffmanIowa Wild (MIN)C/LW351979-08-06No191 Lbs5 ft11NoNoN/ANoNo1Pro & Farm500,001$298,430$0$0$No------------------
Noah OstlundIowa Wild (MIN)C201994-08-31Yes169 Lbs6 ft0NoNoTrade2024-03-24NoNo1Pro & Farm925,000$552,094$0$0$No------------------
Olle LycksellIowa Wild (MIN)C/LW/RW251989-09-15No182 Lbs5 ft11NoNoN/ANoNo2Pro & Farm525,000$313,351$0$0$No525,000$--------No--------
Ryan JohnsonIowa Wild (MIN)D231991-10-04Yes189 Lbs6 ft6NoNoN/ANoNo1Pro & Farm640,000$381,990$0$0$No------------------
Ryan O'RourkeIowa Wild (MIN)D221992-08-31Yes192 Lbs6 ft3NoNoFree Agent2024-03-29NoNo22024-09-14Pro & Farm1,000,000$596,859$0$0$No1,000,000$--------No--------
Serron Noel (sur la masse salariale)Iowa Wild (MIN)RW241990-09-18No221 Lbs6 ft5NoNoFree AgentNoNo32024-09-02Pro & Farm550,000$328,272$0$0$No550,000$550,000$-------NoNo-------
Vladislav KolyachonokIowa Wild (MIN)D231991-08-29Yes203 Lbs6 ft4NoNoFree Agent2024-07-11NoNo22024-09-14Pro & Farm660,000$393,927$0$0$No660,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.17199 Lbs6 ft21.83694,565$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip HallanderMario Kempe40122
2Benoit-Olivier GroulxNoah OstlundKole Lind30122
3Jack DuganMason ShawSerron Noel20122
4Benoit-Olivier GroulxMario Kempe10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom Levshunov40122
2Ryan JohnsonRyan O'Rourke30122
3Cameron AbneyVladislav Kolyachonok20122
4Connor Hall10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip HallanderMario Kempe60122
2Noah OstlundKole Lind40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom Levshunov60122
2Ryan JohnsonRyan O'Rourke40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Filip Hallander60122
2Noah Ostlund40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom Levshunov60122
2Ryan JohnsonRyan O'Rourke40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Artyom Levshunov60122
2Noah Ostlund40122Ryan JohnsonRyan O'Rourke40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip Hallander60122
2Noah Ostlund40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom Levshunov60122
2Ryan JohnsonRyan O'Rourke40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip HallanderMario KempeArtyom Levshunov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip HallanderMario KempeArtyom Levshunov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mario Kempe, Mason Shaw, Mario Kempe, Mason ShawMario Kempe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Abney, Vladislav Kolyachonok, Connor HallCameron AbneyCameron Abney, Vladislav Kolyachonok
Tirs de pénalité
Filip Hallander, , Jack Dugan, Noah Ostlund, Mario Kempe
Gardien
#1 : , #2 : Josef Korenar
Lignes d’attaque personnalisées en prolongation
Filip Hallander, , Jack Dugan, Noah Ostlund, Mario Kempe, Mason Shaw, Mason Shaw, , Kole Lind, Benoit-Olivier Groulx, Cole Guttman
Lignes de défense personnalisées en prolongation
, Artyom Levshunov, Ryan Johnson, Ryan O'Rourke, Cameron Abney


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
1Abbotsford's Canucks10100000210-80000000000010100000210-800.00023500343637224451414424194515918200.00%2150.00%047094149.95%45696247.40%27555050.00%708391769316637318
2Bakersfield Condors11000000321000000000001100000032121.000336003436372454514144241937152194250.00%110.00%047094149.95%45696247.40%27555050.00%708391769316637318
3Belleville Senators11000000422110000004220000000000021.00048120034363724645141442419381741322100.00%20100.00%047094149.95%45696247.40%27555050.00%708391769316637318
4Bridgeport's Islanders11000000422000000000001100000042221.000471100343637245451414424194012212000%10100.00%047094149.95%45696247.40%27555050.00%708391769316637318
5Calgary Wranglers1010000045-11010000045-10000000000000.0004711003436372384514144241944128144375.00%40100.00%047094149.95%45696247.40%27555050.00%708391769316637318
6Charlotte Checkers1010000034-11010000034-10000000000000.000336003436372504514144241942134206233.33%2150.00%047094149.95%45696247.40%27555050.00%708391769316637318
7Chicago Wolves211000008801010000014-31100000074320.50081321003436372544514144241957171829100.00%9277.78%047094149.95%45696247.40%27555050.00%708391769316637318
8Colorado Eagles1010000025-3000000000001010000025-300.0002350034363723345141442419389819400.00%4175.00%047094149.95%45696247.40%27555050.00%708391769316637318
9Grand Rapids Griffins11000000422000000000001100000042221.00048120034363723445141442419512362133100.00%3166.67%047094149.95%45696247.40%27555050.00%708391769316637318
10Hartford Wolfpack11000000431110000004310000000000021.0004711003436372304514144241940146172150.00%30100.00%147094149.95%45696247.40%27555050.00%708391769316637318
11Henderson Silver Knights1010000025-31010000025-30000000000000.00024600343637238451414424194211812000%4175.00%047094149.95%45696247.40%27555050.00%708391769316637318
12Hershey Bears22000000734110000004221100000031241.00071219003436372754514144241972241032200.00%5180.00%047094149.95%45696247.40%27555050.00%708391769316637318
13Laval Rocket1000000134-11000000134-10000000000010.5003470034363722745141442419471961411100.00%3233.33%047094149.95%45696247.40%27555050.00%708391769316637318
14Lehigh Valley Phantoms1010000023-11010000023-10000000000000.000224003436372334514144241937121412000%7185.71%047094149.95%45696247.40%27555050.00%708391769316637318
15Manitoba Moose1010000035-21010000035-20000000000000.00035810343637232451414424192512422300.00%2150.00%047094149.95%45696247.40%27555050.00%708391769316637318
16Ontario Reign1010000013-2000000000001010000013-200.000112003436372364514144241942138204125.00%4175.00%047094149.95%45696247.40%27555050.00%708391769316637318
17Providence Bruins20100010660100000102111010000045-120.50068140034363728345141442419732582610220.00%40100.00%047094149.95%45696247.40%27555050.00%708391769316637318
18Rochester Americans2020000038-51010000024-21010000014-300.000358003436372694514144241987332038300.00%10370.00%047094149.95%45696247.40%27555050.00%708391769316637318
19Rockford IceHogs2110000046-21010000014-31100000032120.50048120034363726645141442419881520366350.00%10190.00%047094149.95%45696247.40%27555050.00%708391769316637318
20San Diego Gulls 1000000134-1000000000001000000134-110.50034700343637233451414424195216141311100.00%70100.00%047094149.95%45696247.40%27555050.00%708391769316637318
21San Jose Barracuda11000000523000000000001100000052321.000591400343637251451414424193986156233.33%3166.67%047094149.95%45696247.40%27555050.00%708391769316637318
22Springfield Thunderbirds11000000431110000004310000000000021.000481200343637238451414424193718419100.00%20100.00%047094149.95%45696247.40%27555050.00%708391769316637318
23Syracuse Crunch11000000716110000007160000000000021.0007916003436372514514144241929162286350.00%10100.00%047094149.95%45696247.40%27555050.00%708391769316637318
24Texas Stars1010000034-1000000000001010000034-100.00034700343637230451414424194518214400.00%10100.00%047094149.95%45696247.40%27555050.00%708391769316637318
25Toronto Marlies21100000660110000003211010000034-120.500610161034363727645141442419773012307228.57%6183.33%047094149.95%45696247.40%27555050.00%708391769316637318
26Utica Comets20101000880100010005411010000034-120.500812200034363728345141442419902210375360.00%5340.00%147094149.95%45696247.40%27555050.00%708391769316637318
27Wilkes-Barre/Scranton Penguins2110000048-4110000003121010000017-620.50046100034363727945141442419862810344125.00%5180.00%047094149.95%45696247.40%27555050.00%708391769316637318
Total35141701012109122-13187801011575701779000015265-13340.4861091732822034363721299451414424191400467225584913235.16%1102478.18%247094149.95%45696247.40%27555050.00%708391769316637318
_Since Last GM Reset35141701012109122-13187801011575701779000015265-13340.4861091732822034363721299451414424191400467225584913235.16%1102478.18%247094149.95%45696247.40%27555050.00%708391769316637318
_Vs Conference35141701012109122-13187801011575701779000015265-13340.4861091732822034363721299451414424191400467225584913235.16%1102478.18%247094149.95%45696247.40%27555050.00%708391769316637318
_Vs Division1368000013654-18523000001422-8845000012232-10130.5003659951034363724644514144241953416293221391230.77%44881.82%047094149.95%45696247.40%27555050.00%708391769316637318

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3534L11091732821299140046722558420
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3514171012109122
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
187810115757
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
177900015265
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
913235.16%1102478.18%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
451414424193436372
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
47094149.95%45696247.40%27555050.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
708391769316637318


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
11Iowa Wild1Ontario Reign3ALSommaire du match
215Rochester Americans4Iowa Wild2BLSommaire du match
534Calgary Wranglers5Iowa Wild4BLSommaire du match
747Rockford IceHogs4Iowa Wild1BLSommaire du match
852Iowa Wild5San Jose Barracuda2AWSommaire du match
1169Belleville Senators2Iowa Wild4BWSommaire du match
1274Iowa Wild1Wilkes-Barre/Scranton Penguins7ALSommaire du match
1491Iowa Wild4Providence Bruins5ALSommaire du match
17102Utica Comets4Iowa Wild5BWXSommaire du match
23134Iowa Wild2Colorado Eagles5ALSommaire du match
25150Iowa Wild3San Diego Gulls 4ALXXSommaire du match
27161Iowa Wild3Texas Stars4ALSommaire du match
30179Manitoba Moose5Iowa Wild3BLSommaire du match
32190Hartford Wolfpack3Iowa Wild4BWSommaire du match
34197Lehigh Valley Phantoms3Iowa Wild2BLSommaire du match
36214Iowa Wild3Toronto Marlies4ALSommaire du match
38226Iowa Wild7Chicago Wolves4AWSommaire du match
39233Henderson Silver Knights5Iowa Wild2BLSommaire du match
43256Springfield Thunderbirds3Iowa Wild4BWSommaire du match
45265Iowa Wild3Hershey Bears1AWSommaire du match
46274Iowa Wild3Bakersfield Condors2AWSommaire du match
50298Syracuse Crunch1Iowa Wild7BWSommaire du match
52307Hershey Bears2Iowa Wild4BWSommaire du match
55324Toronto Marlies2Iowa Wild3BWSommaire du match
57339Iowa Wild4Grand Rapids Griffins2AWSommaire du match
59348Iowa Wild4Bridgeport's Islanders2AWSommaire du match
60356Iowa Wild3Utica Comets4ALSommaire du match
63374Charlotte Checkers4Iowa Wild3BLSommaire du match
64378Providence Bruins1Iowa Wild2BWXXSommaire du match
66389Iowa Wild1Rochester Americans4ALSommaire du match
69406Wilkes-Barre/Scranton Penguins1Iowa Wild3BWSommaire du match
70409Chicago Wolves4Iowa Wild1BLSommaire du match
73429Laval Rocket4Iowa Wild3BLXXSommaire du match
76445Iowa Wild3Rockford IceHogs2AWSommaire du match
77452Iowa Wild2Abbotsford's Canucks10ALSommaire du match
79466San Jose Barracuda-Iowa Wild-
83487Texas Stars-Iowa Wild-
86507Iowa Wild-Manitoba Moose-
89522Iowa Wild-Henderson Silver Knights-
92538Iowa Wild-Springfield Thunderbirds-
94549Bakersfield Condors-Iowa Wild-
97569Iowa Wild-Hartford Wolfpack-
100585Iowa Wild-Calgary Wranglers-
103605Iowa Wild-Belleville Senators-
105617San Diego Gulls -Iowa Wild-
108631Iowa Wild-Charlotte Checkers-
111651Iowa Wild-Lehigh Valley Phantoms-
113658Iowa Wild-Laval Rocket-
115672Abbotsford's Canucks-Iowa Wild-
117686Colorado Eagles-Iowa Wild-
119697Iowa Wild-Syracuse Crunch-
123721Ontario Reign-Iowa Wild-
125730Bridgeport's Islanders-Iowa Wild-
128748Grand Rapids Griffins-Iowa Wild-
131757Iowa Wild-Utica Comets-
133772Iowa Wild-Ontario Reign-
135787Bridgeport's Islanders-Iowa Wild-
136793Grand Rapids Griffins-Iowa Wild-
139813Charlotte Checkers-Iowa Wild-
141825Iowa Wild-Hershey Bears-
144844Rochester Americans-Iowa Wild-
147861Hartford Wolfpack-Iowa Wild-
149875Iowa Wild-Laval Rocket-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153897Iowa Wild-Colorado Eagles-
155913Bakersfield Condors-Iowa Wild-
159939Iowa Wild-San Jose Barracuda-
161952Iowa Wild-Chicago Wolves-
163968Providence Bruins-Iowa Wild-
165979Iowa Wild-Texas Stars-
167991Henderson Silver Knights-Iowa Wild-
1691005San Diego Gulls -Iowa Wild-
1701011Iowa Wild-Syracuse Crunch-
1721022Iowa Wild-Belleville Senators-
1741039Springfield Thunderbirds-Iowa Wild-
1761052Iowa Wild-Manitoba Moose-
1771056Toronto Marlies-Iowa Wild-
1791071Calgary Wranglers-Iowa Wild-
1811085Wilkes-Barre/Scranton Penguins-Iowa Wild-
1841102Iowa Wild-Rockford IceHogs-
1861112Iowa Wild-Abbotsford's Canucks-
1871125Iowa Wild-Lehigh Valley Phantoms-
1901142Manitoba Moose-Iowa Wild-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets3010
Assistance90,00090,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 10000 - 100.00% 298,000$5,364,000$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,340,065$ 3,195,000$ 3,195,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,239,272$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,854,000$ 114 18,037$ 2,056,218$




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