Connexion

Iowa Wild
GP: 58 | W: 31 | L: 18 | OTL: 9 | P: 71
GF: 171 | GA: 153 | PP%: 35.43% | PK%: 64.49%
DG: Tobias Eriksson | Morale : 55 | Moyenne d’équipe : 59
Prochains matchs #921 vs Syracuse Crunch
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Centre de jeu
Chicago Wolves
26-22-7, 59pts
0
FINAL
4 Iowa Wild
31-18-9, 71pts
Team Stats
W1SéquenceL1
13-12-4Fiche domicile16-8-4
13-10-3Fiche domicile15-10-5
4-4-2Derniers 10 matchs6-3-1
1.85Buts par match 2.95
2.13Buts contre par match 2.64
34.95%Pourcentage en avantage numérique35.43%
71.70%Pourcentage en désavantage numérique64.49%
Iowa Wild
31-18-9, 71pts
0
FINAL
2 Ontario Reign
29-20-7, 65pts
Team Stats
L1SéquenceW1
16-8-4Fiche domicile15-10-4
15-10-5Fiche domicile14-10-3
6-3-1Derniers 10 matchs7-3-0
2.95Buts par match 2.57
2.64Buts contre par match 2.39
35.43%Pourcentage en avantage numérique29.84%
64.49%Pourcentage en désavantage numérique76.53%
Syracuse Crunch
19-30-8, 46pts
Jour 114
Iowa Wild
31-18-9, 71pts
Statistiques d’équipe
L1SéquenceL1
12-13-3Fiche domicile16-8-4
7-17-5Fiche visiteur15-10-5
2-7-110 derniers matchs6-3-1
2.11Buts par match 2.95
2.72Buts contre par match 2.95
36.80%Pourcentage en avantage numérique35.43%
64.75%Pourcentage en désavantage numérique64.49%
Manitoba Moose
28-20-8, 64pts
Jour 116
Iowa Wild
31-18-9, 71pts
Statistiques d’équipe
W1SéquenceL1
18-7-3Fiche domicile16-8-4
10-13-5Fiche visiteur15-10-5
6-2-210 derniers matchs6-3-1
2.46Buts par match 2.95
2.38Buts contre par match 2.95
30.77%Pourcentage en avantage numérique35.43%
70.49%Pourcentage en désavantage numérique64.49%
Iowa Wild
31-18-9, 71pts
Jour 117
Bakersfield Condors
32-16-9, 73pts
Statistiques d’équipe
L1SéquenceW3
16-8-4Fiche domicile16-7-6
15-10-5Fiche visiteur16-9-3
6-3-110 derniers matchs6-2-2
2.95Buts par match 2.61
2.64Buts contre par match 2.61
35.43%Pourcentage en avantage numérique34.86%
64.49%Pourcentage en désavantage numérique66.94%
Meneurs d'équipe
Fabian ZetterlundButs
Fabian Zetterlund
31
Fabian ZetterlundPasses
Fabian Zetterlund
34
Fabian ZetterlundPoints
Fabian Zetterlund
65
Dakota MermisPlus/Moins
Dakota Mermis
12
Victoires
Magnus Hellberg
30
Pourcentage d’arrêts
Remi Poirier
0.923

Statistiques d’équipe
Buts pour
171
2.95 GFG
Tirs pour
1940
33.45 Avg
Pourcentage en avantage numérique
35.4%
45 GF
Début de zone offensive
39.6%
Buts contre
153
2.64 GAA
Tirs contre
1626
28.03 Avg
Pourcentage en désavantage numérique
64.5%%
49 GA
Début de la zone défensive
33.1%
Informations de l'équipe

Directeur généralTobias Eriksson
EntraîneurDean Evason
DivisionCentral Division
ConférenceWestern Conference
CapitaineArtyom Anisimov
Assistant #1Michael Stone
Assistant #2Brad Malone


Informations de l’aréna

Capacité3,000
Assistance2,887
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 60
Espoirs25


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
1Artyom Anisimov (C)0X100.008275946274606068816072766782846483670351750,000$
2Fabian Zetterlund0XX100.007143937972658771367465622558576381650241750,000$
3Nolan Patrick41X100.007544958377353577778660602561595863640251750,000$
4Saku Maenalanen0XX100.008345936578577357365956782559596276630291800,000$
5Mason Shaw0XX100.008299576868598062526464772554536485630251750,000$
6Matthew Peca0XX100.007464967964707167807060655656556482630302953,125$
7Brad Malone (A)0XX100.008079826879687256736044694468685678620342762,500$
8Connor Dewar0XX100.008056836764588559656159772561616280620242800,000$
9Vasily Podkolzin0X100.007858938073629062395960592561606182610221925,000$
10Mitchell Chaffee0X100.007674777075545362505070626747466280600251750,000$
11Lucas Edmonds (R)0XX100.007465956667727658505262615947466080590223861,667$
12Will Bitten0XX100.006760836360798461785761595945456326580252762,500$
13Michael Stone (A)0X100.007756787679625362255154702574745980640331937,500$
14Calen Addison (R)0X100.006040908368727788257058632562586180640231795,000$
15Jon Merrill0X100.006742857674678859255248782565655880630313850,000$
16Tobias Bjornfot0X100.007973937675748149253743664061605380610221894,167$
17Matthew Robertson (R)0X100.007977806579727851254641634047465367590222797,500$
18Dakota Mermis0X100.007071676771737953254840613958575173580292750,000$
Rayé
1Nick Swaney (R)0X100.007163906763697261505364626144446420580261750,000$
2Kyle Rau0XX100.006961886861646659755460615752536029570311750,000$
3Brendan Warren0X100.007570886770495048604546614444445320540261750,000$
4Damien Giroux (R)0XX100.007062876062697453665546594444445620540231818,333$
5Zach Jordan0X100.008180836780464745503846634444445320540271750,000$
6Joe Hicketts0X100.006663736763778355255441584051515352570271750,000$
7Daemon Hunt (R)0X100.007771926771596346253740613844445220550213828,333$
8Ryan O'Rourke (R)0X100.007365916665697645253639593744445120540212894,167$
9Albert Johansson (R)0X100.006762796462657048253942574044445220530222820,000$
10Turner Ottenbreit0X100.007273716373555846253641593944445020530261750,000$
MOYENNE D’ÉQUIPE100.00746485707064715846545365415454585759
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
1Magnus Hellberg (R)0100.00605856836553706265607549485985620322937,500$
2Remi Poirier (R)0100.005851647961595663595830444458815902231,045,833$
Rayé
1Jesper Wallstedt (R)0100.00554658845856546057563044445524560213925,000$
MOYENNE D’ÉQUIPE100.0058525982615660626058454645576359
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason60606060996050CAN601500,000$


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
1Fabian ZetterlundIowa Wild (MIN)C/RW583134655363063472347113613.25%21105318.171213251985000003443.04%799014021.2300213752
2Artyom AnisimovIowa Wild (MIN)C581834529200140701191554710211.61%31113219.536152112841014961159.89%14362930000.9241110513154
3Mason ShawIowa Wild (MIN)C/LW58172037541027012667148338511.49%26101317.48771415710114314149.38%812626000.7328251019231
4Matthew PecaIowa Wild (MIN)C/LW5814223677335715916163778.70%1084114.51257537000013255.96%5453712000.8613214115
5Nolan PatrickIowa Wild (MIN)C34112031800464388205312.50%758217.132464421013253056.34%410318001.0600000412
6Vasily PodkolzinIowa Wild (MIN)RW58141529114620664814139869.93%578613.5601119000012231.58%19526000.7400202122
7Mitchell ChaffeeIowa Wild (MIN)RW5812172928155924313854848.70%1786414.9166121480000003046.88%322912000.67211434102
8Lucas EdmondsIowa Wild (MIN)LW/RW589112013925755683304810.84%1988115.201345581011141148.65%371019000.4515113030
9Jon MerrillIowa Wild (MIN)D5821719733556838031322.50%59128422.151233750223101010%02055000.3001100101
10Michael StoneIowa Wild (MIN)D582171910914579958837342.27%79136123.4828104103000277100%02247000.2800225001
11Connor DewarIowa Wild (MIN)C/LW581271981558455110415810.91%974212.811012241014412055.56%182017100.5100001131
12Saku MaenalanenIowa Wild (MIN)LW/RW5851318060696710431784.81%1381614.0701101902241021034.62%262613000.4400000200
13Calen AddisonIowa Wild (MIN)D215111694011217225236.94%3045921.9033682600001000%01010000.7000000210
14Kyle BurroughsMinnesota WildD3411112831619047475428251.85%3975722.29011345000042000%01224000.320014519000
15Tobias BjornfotIowa Wild (MIN)D5829112917566636227283.23%55127321.96246476000295000%01038000.1703447002
16Marco RossiMinnesota WildC376410-54037387627447.89%545712.3500005000060057.14%2172514000.4400000011
17Dakota MermisIowa Wild (MIN)D5801010121015557433412160%3293816.18000025011023000%0612000.2100146001
18Brad MaloneIowa Wild (MIN)C/LW5828105464078427033572.86%1563811.01000000111430149.32%731016000.3113224100
19Kyle RauIowa Wild (MIN)C/LW24246021153215278187.41%336515.22000070000211059.26%5465000.3302120020
20Matthew RobertsonIowa Wild (MIN)D58066-3130905640347190%50106018.29022140000066000%0432000.1102585000
21Will BittenIowa Wild (MIN)C/RW2112316019171816175.56%522810.8600001000000045.78%8393000.2601000100
22Joe HickettsIowa Wild (MIN)D3702264630252317970%1861816.7100006000020000%0411000.0622213000
Statistiques d’équipe totales ou en moyenne10781662944601081795112513251131199468911278.32%5481816016.854575120100930471128815251356.53%3110488424120.511352784998252725
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
1Magnus HellbergIowa Wild (MIN)57301890.9112.4834420214215961023240.76551570636
2Remi PoirierIowa Wild (MIN)21000.9231.229800226201000157001
Statistiques d’équipe totales ou en moyenne59311890.9112.443540021441622104334515857637


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 Plafond 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
Albert JohanssonIowa Wild (MIN)D222001-12-31Yes168 Lbs6 ft0NoNoN/ANoNo2Pro & Farm820,000$0$0$No820,000$--------No--------
Artyom AnisimovIowa Wild (MIN)C351988-12-31No198 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Brad MaloneIowa Wild (MIN)C/LW341989-12-31No217 Lbs6 ft2NoNoN/ANoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Brendan WarrenIowa Wild (MIN)LW261997-12-31No192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Calen AddisonIowa Wild (MIN)D232000-12-31Yes178 Lbs5 ft10NoNoN/ANoNo1Pro & Farm795,000$0$0$No------------------Lien / Lien NHL
Connor DewarIowa Wild (MIN)C/LW241999-12-31No170 Lbs5 ft10NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien / Lien NHL
Daemon HuntIowa Wild (MIN)D212002-12-31Yes198 Lbs6 ft0NoNoN/ANoNo3Pro & Farm828,333$0$0$No828,333$828,333$-------NoNo-------
Dakota MermisIowa Wild (MIN)D291994-12-31No195 Lbs6 ft0NoNoN/ANoNo22024-02-13Pro & Farm750,000$0$0$No775,000$--------No--------Lien / Lien NHL
Damien GirouxIowa Wild (MIN)C/LW232000-12-31Yes177 Lbs5 ft9NoNoN/ANoNo1Pro & Farm818,333$0$0$No------------------Lien / Lien NHL
Fabian ZetterlundIowa Wild (MIN)C/RW241999-12-31No196 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jesper WallstedtIowa Wild (MIN)G212002-12-31Yes214 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Joe HickettsIowa Wild (MIN)D271996-12-31No180 Lbs5 ft8NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jon MerrillIowa Wild (MIN)D311992-12-31No195 Lbs6 ft3NoNoN/ANoNo32024-02-13Pro & Farm850,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Kyle RauIowa Wild (MIN)C/LW311992-12-31No176 Lbs5 ft8NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Lucas EdmondsIowa Wild (MIN)LW/RW222001-12-31Yes181 Lbs5 ft10NoNoN/ANoNo3Pro & Farm861,667$0$0$No861,667$861,667$-------NoNo-------
Magnus HellbergIowa Wild (MIN)G321991-12-31Yes190 Lbs6 ft5NoNoN/ANoNo22024-02-13Pro & Farm937,500$0$0$No785,000$--------No--------Lien
Mason ShawIowa Wild (MIN)C/LW251998-12-31No181 Lbs5 ft9NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Matthew PecaIowa Wild (MIN)C/LW301993-12-31No182 Lbs5 ft9NoNoN/ANoNo2Pro & Farm953,125$0$0$No953,125$--------No--------Lien / Lien NHL
Matthew RobertsonIowa Wild (MIN)D222001-12-31Yes202 Lbs6 ft4NoNoN/ANoNo2Pro & Farm797,500$0$0$No797,500$--------No--------Lien / Lien NHL
Michael StoneIowa Wild (MIN)D331990-12-31No210 Lbs6 ft3NoNoN/ANoNo1Pro & Farm937,500$0$0$No------------------Lien / Lien NHL
Mitchell ChaffeeIowa Wild (MIN)RW251998-12-31No207 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Nick SwaneyIowa Wild (MIN)RW261997-12-31Yes175 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Nolan PatrickIowa Wild (MIN)C251998-12-31 05:24:29No198 Lbs6 ft2NoNoFree AgentNoYes12024-01-18Pro & Farm750,000$0$0$No------------------
Remi PoirierIowa Wild (MIN)G222001-12-31Yes205 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,045,833$0$0$No1,045,833$1,045,833$-------NoNo-------Lien
Ryan O'RourkeIowa Wild (MIN)D212002-12-31Yes178 Lbs6 ft0NoNoN/ANoNo2Pro & Farm894,167$0$0$No894,167$--------No--------
Saku MaenalanenIowa Wild (MIN)LW/RW291994-12-31No207 Lbs6 ft4NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Tobias BjornfotIowa Wild (MIN)D222001-12-31No202 Lbs6 ft0NoNoN/ANoNo1Pro & Farm894,167$0$0$No------------------Lien / Lien NHL
Turner OttenbreitIowa Wild (MIN)D261997-12-31No192 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Vasily PodkolzinIowa Wild (MIN)RW222001-12-31 17:46:56No190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Lien / Lien NHL
Will BittenIowa Wild (MIN)C/RW251998-12-31No168 Lbs5 ft10NoNoN/ANoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Zach JordanIowa Wild (MIN)RW271996-12-31No216 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.97192 Lbs6 ft01.61819,617$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason ShawArtyom AnisimovFabian Zetterlund35113
2Lucas EdmondsNolan PatrickMitchell Chaffee27113
3Connor DewarMatthew PecaVasily Podkolzin23113
4Brad MaloneWill BittenSaku Maenalanen15221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael StoneCalen Addison38131
2Jon MerrillTobias Bjornfot34140
3Matthew RobertsonDakota Mermis28140
4Michael StoneTobias Bjornfot0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason ShawArtyom AnisimovFabian Zetterlund50005
2Lucas EdmondsNolan PatrickMitchell Chaffee50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael StoneCalen Addison60014
2Dakota MermisJon Merrill40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Artyom AnisimovSaku Maenalanen60140
2Brad MaloneConnor Dewar40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael StoneJon Merrill60050
2Matthew RobertsonTobias Bjornfot40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Artyom Anisimov50050Michael StoneJon Merrill60050
2Brad Malone50050Matthew RobertsonTobias Bjornfot40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Artyom AnisimovFabian Zetterlund50131
2Nolan PatrickMason Shaw50131
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael StoneCalen Addison50131
2Jon MerrillTobias Bjornfot50140
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason ShawArtyom AnisimovFabian ZetterlundCalen AddisonMichael Stone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason ShawArtyom AnisimovSaku MaenalanenJon MerrillMichael Stone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Artyom Anisimov, Mason Shaw, Fabian ZetterlundArtyom Anisimov, Mason ShawArtyom Anisimov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calen Addison, Michael Stone, Jon MerrillCalen AddisonJon Merrill, Michael Stone
Tirs de pénalité
Mitchell Chaffee, Artyom Anisimov, Mason Shaw, Lucas Edmonds, Matthew Peca
Gardien
#1 : Magnus Hellberg, #2 : Remi Poirier


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 Canucks2020000037-41010000013-21010000024-200.0003581033636517635876616786547107044500.00%5260.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
2Bakersfield Condors11000000523110000005230000000000021.000571200336365174958766167865331152011100.00%000%0677121655.67%593101658.37%48883658.37%125869811295671159563
3Belleville Senators1000000134-1000000000001000000134-110.500369003363651734587661678652761726200.00%110.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
4Bridgeport Islanders21100000752110000004131010000034-120.5007111800336365177358766167865631046368562.50%3233.33%0677121655.67%593101658.37%48883658.37%125869811295671159563
5Calgary Wranglers3010001178-1201000105501000000123-130.50071118003363651710658766167865102369261300.00%60100.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
6Charlotte Checkers10001000431000000000001000100043121.0004812003363651738587661678652512211011100.00%3166.67%0677121655.67%593101658.37%48883658.37%125869811295671159563
7Chicago Wolves320000101138110000004042100001073461.000111728013363651710058766167865592541889444.44%80100.00%1677121655.67%593101658.37%48883658.37%125869811295671159563
8Cleveland Monsters22000000862110000004311100000043141.0008142200336365176758766167865492737405360.00%6350.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
9Coachella Valley Firebirds32100000963211000006511100000031240.667917260033636517985876616786575271138512433.33%9455.56%0677121655.67%593101658.37%48883658.37%125869811295671159563
10Colorado Eagles21000010514110000003031000001021141.00058130133636517605876616786536124742200.00%6183.33%0677121655.67%593101658.37%48883658.37%125869811295671159563
11Grand Rapids Griffins3010011067-1200001104401010000023-130.5006814003363651711458766167865662259628225.00%7442.86%0677121655.67%593101658.37%48883658.37%125869811295671159563
12Hartford Wolf Pack11000000312110000003120000000000021.0003580033636517405876616786520132193266.67%10100.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
13Henderson Silver Knights211000007611010000025-31100000051420.5007111800336365175758766167865652513383133.33%4325.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
14Hershey Bears2020000058-31010000035-21010000023-100.000591400336365175758766167865822538382150.00%4250.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
15Laval Rocket210001006511000010034-11100000031230.7506121800336365177158766167865672861332150.00%3233.33%0677121655.67%593101658.37%48883658.37%125869811295671159563
16Lehigh Valley Phantoms2110000067-1110000004221010000025-320.500611170033636517675876616786538155559400.00%5340.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
17Manitoba Moose22000000624000000000002200000062441.000691500336365176158766167865521251543133.33%3166.67%0677121655.67%593101658.37%48883658.37%125869811295671159563
18Milwaukee Admirals1000000112-1000000000001000000112-110.5001120033636517295876616786526332227114.29%10100.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
19Ontario Reign2020000047-31010000045-11010000002-200.000461010336365176658766167865701524314250.00%7357.14%0677121655.67%593101658.37%48883658.37%125869811295671159563
20Rochester Americans21100000752110000005141010000024-220.5007121900336365177158766167865591387465480.00%6266.67%0677121655.67%593101658.37%48883658.37%125869811295671159563
21Rockford IceHogs3010011079-23010011079-20000000000030.5007101710336365178758766167865923179687457.14%13376.92%1677121655.67%593101658.37%48883658.37%125869811295671159563
22San Diego Gulls21100000990000000000002110000099020.5009152400336365176558766167865721756529555.56%3233.33%0677121655.67%593101658.37%48883658.37%125869811295671159563
23San Jose Barracuda2010001078-1100000105411010000024-220.500710171033636517685876616786568218935000%7357.14%0677121655.67%593101658.37%48883658.37%125869811295671159563
24Syracuse Crunch11000000431000000000001100000043121.0004610003363651730587661678651964421000%20100.00%1677121655.67%593101658.37%48883658.37%125869811295671159563
25Texas Stars3010110068-21010000013-22000110055030.500691500336365171025876616786589127871500.00%4175.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
26Toronto Marlies2000000246-21000000123-11000000123-120.50047110033636517545876616786567294252400.00%60100.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
27Tucson Roadrunners21100000660110000005321010000013-220.500612180033636517745876616786559234535300.00%5180.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
28Utica Comets22000000954110000006421100000031241.000915240033636517625876616786547587476233.33%6433.33%1677121655.67%593101658.37%48883658.37%125869811295671159563
29Wilkes-Barre Scranton Penguins20002000642100010004311000100021141.0006111700336365177758766167865521848434125.00%4175.00%0677121655.67%593101658.37%48883658.37%125869811295671159563
Total582118044651711531828118013419075153010100312481783710.61217128345442336365171940587661678651626509147912781274535.43%1384964.49%4677121655.67%593101658.37%48883658.37%125869811295671159563
_Since Last GM Reset582118044651711531828118013419075153010100312481783710.61217128345442336365171940587661678651626509147912781274535.43%1384964.49%4677121655.67%593101658.37%48883658.37%125869811295671159563
_Vs Conference341111013629684121756002405145617650112245396410.603961512473233636517113658766167865964292824764762532.89%832668.67%2677121655.67%593101658.37%48883658.37%125869811295671159563
_Vs Division1764013315153-2923002202829-1841011112324-1240.7065182133303363651757258766167865532162462366371335.14%411758.54%0677121655.67%593101658.37%48883658.37%125869811295671159563

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5871L1171283454194016265091479127842
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5821184465171153
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2811813419075
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30101031248178
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1274535.43%1384964.49%4
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
5876616786533636517
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
677121655.67%593101658.37%48883658.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
125869811295671159563


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
19Iowa Wild4Charlotte Checkers3AWXSommaire du match
319Iowa Wild3Texas Stars2AWXSommaire du match
431Rockford IceHogs4Iowa Wild3BLXSommaire du match
752Iowa Wild1Milwaukee Admirals2ALXXSommaire du match
863Calgary Wranglers3Iowa Wild2BLSommaire du match
1185Grand Rapids Griffins1Iowa Wild2BWXXSommaire du match
1297Iowa Wild4Chicago Wolves1AWSommaire du match
14108Iowa Wild7San Diego Gulls6AWSommaire du match
16124Rockford IceHogs2Iowa Wild3BWXXSommaire du match
20150Iowa Wild2Manitoba Moose1AWSommaire du match
21161Coachella Valley Firebirds3Iowa Wild2BLSommaire du match
24185Rochester Americans1Iowa Wild5BWSommaire du match
26202Calgary Wranglers2Iowa Wild3BWXXSommaire du match
27211Iowa Wild2Grand Rapids Griffins3ALSommaire du match
30230Iowa Wild3Chicago Wolves2AWXXSommaire du match
31245Laval Rocket4Iowa Wild3BLXSommaire du match
34266Bakersfield Condors2Iowa Wild5BWSommaire du match
35275Iowa Wild2Lehigh Valley Phantoms5ALSommaire du match
38297Iowa Wild2Rochester Americans4ALSommaire du match
39308Lehigh Valley Phantoms2Iowa Wild4BWSommaire du match
42329Iowa Wild2Calgary Wranglers3ALXXSommaire du match
44344Iowa Wild1Tucson Roadrunners3ALSommaire du match
45351San Jose Barracuda4Iowa Wild5BWXXSommaire du match
47369Cleveland Monsters3Iowa Wild4BWSommaire du match
50391Iowa Wild3Coachella Valley Firebirds1AWSommaire du match
51404Hershey Bears5Iowa Wild3BLSommaire du match
53423Iowa Wild5Henderson Silver Knights1AWSommaire du match
55437Utica Comets4Iowa Wild6BWSommaire du match
58461Hartford Wolf Pack1Iowa Wild3BWSommaire du match
60479Iowa Wild2Abbotsford Canucks4ALSommaire du match
62493Bridgeport Islanders1Iowa Wild4BWSommaire du match
64504Iowa Wild3Bridgeport Islanders4ALSommaire du match
66516Iowa Wild2Texas Stars3ALXSommaire du match
68536Wilkes-Barre Scranton Penguins3Iowa Wild4BWXSommaire du match
69547Iowa Wild2Hershey Bears3ALSommaire du match
71563Henderson Silver Knights5Iowa Wild2BLSommaire du match
74582Iowa Wild2San Jose Barracuda4ALSommaire du match
76593Coachella Valley Firebirds2Iowa Wild4BWSommaire du match
78615Iowa Wild3Utica Comets1AWSommaire du match
79625Colorado Eagles0Iowa Wild3BWSommaire du match
81642Iowa Wild2San Diego Gulls3ALSommaire du match
83660Abbotsford Canucks3Iowa Wild1BLSommaire du match
85680Toronto Marlies3Iowa Wild2BLXXSommaire du match
86689Iowa Wild3Belleville Senators4ALXXSommaire du match
88708Iowa Wild2Wilkes-Barre Scranton Penguins1AWXSommaire du match
90722Texas Stars3Iowa Wild1BLSommaire du match
92738Iowa Wild4Manitoba Moose1AWSommaire du match
94755Grand Rapids Griffins3Iowa Wild2BLXSommaire du match
96775Tucson Roadrunners3Iowa Wild5BWSommaire du match
98789Iowa Wild4Syracuse Crunch3AWSommaire du match
100807Iowa Wild3Laval Rocket1AWSommaire du match
102823Ontario Reign5Iowa Wild4BLSommaire du match
104840Iowa Wild4Cleveland Monsters3AWSommaire du match
105853Iowa Wild2Toronto Marlies3ALXXSommaire du match
107862Rockford IceHogs3Iowa Wild1BLSommaire du match
109880Iowa Wild2Colorado Eagles1AWXXSommaire du match
110892Chicago Wolves0Iowa Wild4BWSommaire du match
112903Iowa Wild0Ontario Reign2ALSommaire du match
114921Syracuse Crunch-Iowa Wild-
116944Manitoba Moose-Iowa Wild-
117947Iowa Wild-Bakersfield Condors-
120972Iowa Wild-Springfield Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122986Charlotte Checkers-Iowa Wild-
123999Iowa Wild-Rockford IceHogs-
1251017Belleville Senators-Iowa Wild-
1281042Springfield Thunderbirds-Iowa Wild-
1301054Iowa Wild-Hartford Wolf Pack-
1321075Providence Bruins-Iowa Wild-
1331082Iowa Wild-Milwaukee Admirals-
1361106Milwaukee Admirals-Iowa Wild-
1381114Iowa Wild-Providence Bruins-
1421146San Diego Gulls-Iowa Wild-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3520
Assistance54,70626,143
Assistance PCT97.69%93.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
8 2887 - 96.25% 87,984$2,463,550$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,812,512$ 3,931,313$ 3,947,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,426,310$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
703,871$ 33 30,561$ 1,008,513$




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