Connexion

IOWA Wild
GP: 68 | W: 52 | L: 13 | OTL: 3 | P: 107
GF: 435 | GA: 207 | PP%: 51.00% | PK%: 66.01%
DG: Benoit Paulin | Morale : 99 | Moyenne d’équipe : 62
Prochains matchs #912 vs BROOKLYN Wolfpack
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Centre de jeu
IOWA Wild
52-13-3, 107pts
4
FINAL
6 SCRANTON Penguins
52-13-3, 107pts
Team Stats
L2SéquenceW5
29-5-1Fiche domicile27-6-2
23-8-2Fiche domicile25-7-1
7-3-0Derniers 10 matchs9-1-0
6.40Buts par match 7.99
3.04Buts contre par match 4.03
51.00%Pourcentage en avantage numérique64.80%
66.01%Pourcentage en désavantage numérique56.86%
TUSCON Roadrunners
50-15-5, 105pts
5
FINAL
2 IOWA Wild
52-13-3, 107pts
Team Stats
W4SéquenceL2
26-7-1Fiche domicile29-5-1
24-8-4Fiche domicile23-8-2
8-2-0Derniers 10 matchs7-3-0
7.67Buts par match 6.40
3.87Buts contre par match 3.04
61.51%Pourcentage en avantage numérique51.00%
62.37%Pourcentage en désavantage numérique66.01%
BROOKLYN Wolfpack
19-46-5, 43pts
2024-05-11
IOWA Wild
52-13-3, 107pts
Statistiques d’équipe
L1SéquenceL2
10-23-2Fiche domicile29-5-1
9-23-3Fiche visiteur23-8-2
1-7-210 derniers matchs7-3-0
4.39Buts par match 6.40
7.81Buts contre par match 6.40
35.14%Pourcentage en avantage numérique51.00%
42.66%Pourcentage en désavantage numérique66.01%
IOWA Wild
52-13-3, 107pts
2024-05-12
HERSEY Bears
12-53-4, 28pts
Statistiques d’équipe
L2SéquenceW1
29-5-1Fiche domicile5-26-3
23-8-2Fiche visiteur7-27-1
7-3-010 derniers matchs3-7-0
6.40Buts par match 3.72
3.04Buts contre par match 3.72
51.00%Pourcentage en avantage numérique33.50%
66.01%Pourcentage en désavantage numérique37.50%
SAN DIEGO Gulls
13-54-2, 28pts
2024-05-14
IOWA Wild
52-13-3, 107pts
Statistiques d’équipe
W1SéquenceL2
7-26-1Fiche domicile29-5-1
6-28-1Fiche visiteur23-8-2
1-9-010 derniers matchs7-3-0
3.58Buts par match 6.40
7.99Buts contre par match 6.40
27.46%Pourcentage en avantage numérique51.00%
44.52%Pourcentage en désavantage numérique66.01%
Meneurs d'équipe
Matthew PhillipsButs
Matthew Phillips
77
Tyson JostPasses
Tyson Jost
86
Matthew PhillipsPoints
Matthew Phillips
144
Braden SchneiderPlus/Moins
Braden Schneider
88
Alex D'OrioVictoires
Alex D'Orio
49
Alex D'OrioPourcentage d’arrêts
Alex D'Orio
0.9

Statistiques d’équipe
Buts pour
435
6.40 GFG
Tirs pour
2238
32.91 Avg
Pourcentage en avantage numérique
51.0%
128 GF
Début de zone offensive
33.1%
Buts contre
207
3.04 GAA
Tirs contre
1970
28.97 Avg
Pourcentage en désavantage numérique
66.0%%
69 GA
Début de la zone défensive
34.4%
Informations de l'équipe

Directeur généralBenoit Paulin
EntraîneurChris Kelly
DivisionGuitard
ConférenceConference B
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 55
Espoirs49


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
1Tyson JostX100.0073578585686593586470597575687168997202411,500,000$
2Joseph VelenoX100.0084458880716396617262606725606066997002221,000,000$
3Juuso Parssinen (R)X100.008257897775686574768064692548487199700213750,000$
4Oliver WahlstromX100.0079857580806271673771725941606170997002261,900,000$
5Matthew PhillipsXX100.006553936353808370806571616744446999660241750,000$
6Rasmus AsplundXX100.006542967769588059416156722561616399660241750,000$
7Raphael Lavoie (R)X100.007675796875727564805767656444446699650212750,000$
8Jasper Weatherby (R)X100.008081797381818950634747644544445799640242750,000$
9Isaac RatcliffeX100.007886606786707454505648644644445799620232750,000$
10Sampo Ranta (R)X100.007873887073697355504957645445466199620222750,000$
11Luke Henman (R)XX100.006862826662697550634648584644445599580222750,000$
12Johnathan KovacevicX100.007754856379728963255248862555556399670253750,000$
13Braden Schneider (R)X100.008358937575689155255248762558596399670202750,000$
14Marcus Bjork (R)X100.007944666776758176255850752547476399660243750,000$
15Michael StoneX100.007656797679625361254954692571726299640322750,000$
16Guillaume BriseboisX100.006742896867706057255048882555556199630251775,000$
17Ville HeinolaX100.006764738064687257255642604047475799610213750,000$
18David Farrance (R)X100.007367887967504954255241613944445599560232750,000$
Rayé
1Jeremy McKenna (R)X100.007162916262515059505558615544446099570232750,000$
2Jesper LindgrenX100.0058378854676368543058525345676461996002500$
3Noel Hoefenmayer (R)X100.006570536570727658255051584844445799590222750,000$
4Michael Vukojevic (R)X100.008179866679596343253041623944445299550212750,000$
5John Ludvig (R)X100.007174646574505150254441593944445199540212750,000$
6Josh Brook (R)X100.0073717865714240522549416139444452995302200$
MOYENNE D’ÉQUIPE100.00746281707265725843555366415151619963
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
1Alex D'Orio100.00707273826968706968706963694499640231775,000$
2Anton Khudobin100.00484455694948515450503065675099480361750,000$
Rayé
1Gage Alexander (R)100.00474961864649505350503044444999460203750,000$
MOYENNE D’ÉQUIPE100.0055556379555557595657435760489953
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Kelly40404040404040TUR8130$


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
1Matthew PhillipsIOWA Wild (MIN)C/RW6877671447725151119931510519924.44%42150122.08171431211270001359268.07%7116247071.92002011386
2Juuso ParssinenIOWA Wild (MIN)LW606367130363030108452257215328.00%35122320.382632583813321391357270.42%715128082.13011141238
3Oliver WahlstromIOWA Wild (MIN)RW6755681233911365125562238313924.66%18121318.1131316240145000006249.30%717036152.0301814766
4Tyson JostIOWA Wild (MIN)C61298611544443093117129449122.48%33126020.66749561213312391454166.46%13153262011.8301105774
5Joseph VelenoIOWA Wild (MIN)C653562975327511083159409422.01%1899815.36822301211411251005065.46%9124437011.9400001345
6Rasmus AsplundIOWA Wild (MIN)C/LW684055955329584471415910428.37%29115817.041417311812612351206258.14%864134021.6400010356
7Braden SchneiderIOWA Wild (MIN)D65124456883935958590384213.33%91170126.18111627151560006158210%02199000.6600133034
8Jasper WeatherbyIOWA Wild (MIN)C6823325544873512173108235921.30%2490613.3302209000062161.90%3991924011.2100322224
9Jeremy McKennaIOWA Wild (MIN)RW6327265342201077331734210315.61%1483213.2200001000003064.71%172819001.2700020135
10Sampo RantaIOWA Wild (MIN)LW682231535122209336131418716.79%2088513.0200002000043272.22%183921011.2000211211
11Raphael LavoieIOWA Wild (MIN)RW682222442763356829149389614.77%1580611.85011113000003273.47%494717001.0900223100
12Johnathan KovacevicIOWA Wild (MIN)D5753540884010107759037445.56%81155827.33391271320222134020%01187000.5100011010
13Michael StoneIOWA Wild (MIN)D687293658772587458239418.54%69137120.17538611400001101050.00%21379000.5200122111
14Marcus BjorkIOWA Wild (MIN)D52522274448080355830328.62%52101619.544486112011078000%0840000.5300000010
15Isaac RatcliffeIOWA Wild (MIN)LW6851217258030105405116319.80%2176711.290110230000220050.00%3899000.4400024000
16Ville HeinolaIOWA Wild (MIN)D680131326471560415013140%42107415.80022017000151000%0741000.2400102000
17Noel HoefenmayerIOWA Wild (MIN)D5311112287840601722884.55%2076614.460000200009000%0326000.3100026010
18Guillaume BriseboisIOWA Wild (MIN)D231785201226227114.55%1338016.5411222000012600100.00%1224000.4200000001
19David FarranceIOWA Wild (MIN)D6033100101110%0559.320000000000000%003001.0700000000
20Luke HenmanIOWA Wild (MIN)C/LW51013207162216.67%26813.6200000000000150.00%220000.2900000000
21Mattias NorlinderMINNESOTA WildD4000000310000%0297.450000000000000%01100000000000
Statistiques d’équipe totales ou en moyenne1125430692112283287340516079842225738135119.33%6391957517.4012720433117813865914391142511865.52%36925107341261.1503222039524651
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
1Alex D'OrioIOWA Wild (MIN)63491130.9002.823772231771778928600.5002630351
2Anton KhudobinIOWA Wild (MIN)63200.8495.4232100291921112000568000
Statistiques d’équipe totales ou en moyenne69521330.8953.02409423206197010398026868351


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex D'OrioIOWA Wild (MIN)G231999-04-28No95 Kg188 CMNoNoN/ANoNo12024-01-30FalseFalsePro & Farm775,000$142,202$0$0$No---------------------------Lien NHL
Anton KhudobinIOWA Wild (MIN)G361986-05-07No89 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$137,615$0$0$No---------------------------Lien / Lien NHL
Braden SchneiderIOWA Wild (MIN)D202001-09-20Yes92 Kg188 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
David FarranceIOWA Wild (MIN)D231999-06-23Yes86 Kg180 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Gage AlexanderIOWA Wild (MIN)G202002-02-07Yes93 Kg198 CMNoNoN/ANoNo3FalseFalsePro & Farm750,000$137,615$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Guillaume BriseboisIOWA Wild (MIN)D251997-07-21No80 Kg188 CMNoNoN/ANoNo12024-01-30FalseFalsePro & Farm775,000$142,202$0$0$No---------------------------Lien / Lien NHL
Isaac RatcliffeIOWA Wild (MIN)LW231999-02-15No102 Kg198 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Jasper WeatherbyIOWA Wild (MIN)C241998-01-22Yes98 Kg193 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Jeremy McKennaIOWA Wild (MIN)RW231999-04-20Yes79 Kg178 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Jesper LindgrenIOWA Wild (MIN)D251997-05-19No75 Kg183 CMNoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
John LudvigIOWA Wild (MIN)D212001-08-02Yes91 Kg185 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien
Johnathan KovacevicIOWA Wild (MIN)D251997-07-12No95 Kg193 CMNoNoN/ANoNo3FalseFalsePro & Farm750,000$137,615$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Joseph VelenoIOWA Wild (MIN)C222000-01-13No87 Kg185 CMNoNoN/ANoNo2FalseFalsePro & Farm1,000,000$183,486$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Josh BrookIOWA Wild (MIN)D222000-06-17Yes88 Kg185 CMNoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Juuso ParssinenIOWA Wild (MIN)LW212001-01-02Yes92 Kg188 CMNoNoN/ANoNo3FalseFalsePro & Farm750,000$137,615$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Luke HenmanIOWA Wild (MIN)C/LW222000-04-29Yes76 Kg183 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Marcus BjorkIOWA Wild (MIN)D241997-11-24Yes92 Kg191 CMNoNoN/ANoNo3FalseFalsePro & Farm750,000$137,615$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Matthew PhillipsIOWA Wild (MIN)C/RW241998-04-06No68 Kg170 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$137,615$0$0$No---------------------------Lien / Lien NHL
Michael StoneIOWA Wild (MIN)D321990-06-07No95 Kg191 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Michael VukojevicIOWA Wild (MIN)D212001-06-08Yes96 Kg191 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Noel HoefenmayerIOWA Wild (MIN)D222000-01-06Yes87 Kg183 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien
Oliver WahlstromIOWA Wild (MIN)RW222000-06-13No96 Kg188 CMNoNoN/ANoNo62024-01-30FalseFalsePro & Farm1,900,000$348,624$0$0$No1,900,000$1,900,000$1,900,000$1,900,000$1,900,000$----1,900,000$1,900,000$1,900,000$1,900,000$1,900,000$----NoNoNoNoNo----Lien / Lien NHL
Raphael LavoieIOWA Wild (MIN)RW212000-09-25Yes89 Kg193 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Rasmus AsplundIOWA Wild (MIN)C/LW241997-12-03No86 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$137,615$0$0$No---------------------------Lien / Lien NHL
Sampo RantaIOWA Wild (MIN)LW222000-05-31Yes89 Kg188 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$137,615$0$0$No750,000$--------750,000$--------No--------Lien
Tyson JostIOWA Wild (MIN)C241998-03-14No85 Kg180 CMNoNoN/ANoNo12024-01-30FalseFalsePro & Farm1,500,000$275,229$0$0$No---------------------------Lien / Lien NHL
Ville HeinolaIOWA Wild (MIN)D212001-03-02No81 Kg180 CMNoNoN/ANoNo3FalseFalsePro & Farm750,000$137,615$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.4188 Kg185 CM1.96775,926$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juuso ParssinenTyson JostOliver Wahlstrom31122
2Rasmus AsplundJoseph VelenoMatthew Phillips26122
3Isaac RatcliffeMatthew PhillipsRaphael Lavoie23122
4Sampo RantaJasper WeatherbyOliver Wahlstrom20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicBraden Schneider31122
2Marcus BjorkMichael Stone26122
3Guillaume BriseboisVille Heinola23122
4David FarranceJohnathan Kovacevic20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juuso ParssinenTyson JostOliver Wahlstrom55122
2Rasmus AsplundJoseph VelenoMatthew Phillips45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicBraden Schneider55122
2Marcus BjorkMichael Stone45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyson JostJuuso Parssinen55122
2Joseph VelenoRasmus Asplund45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicBraden Schneider55122
2Marcus BjorkMichael Stone45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyson Jost55122Johnathan KovacevicBraden Schneider55122
2Joseph Veleno45122Marcus BjorkMichael Stone45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyson JostJuuso Parssinen55122
2Joseph VelenoRasmus Asplund45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Johnathan KovacevicBraden Schneider55122
2Marcus BjorkMichael Stone45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juuso ParssinenTyson JostOliver WahlstromJohnathan KovacevicBraden Schneider
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juuso ParssinenTyson JostOliver WahlstromJohnathan KovacevicBraden Schneider
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Phillips, Rasmus Asplund, Raphael LavoieMatthew Phillips, Rasmus AsplundMatthew Phillips
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Guillaume Brisebois, Ville Heinola, David FarranceGuillaume BriseboisGuillaume Brisebois, Ville Heinola
Tirs de pénalité
Tyson Jost, Oliver Wahlstrom, Juuso Parssinen, Joseph Veleno, Matthew Phillips
Gardien
#1 : Alex D'Orio, #2 : Anton Khudobin
Lignes d’attaque personnalisées en prolongation
Tyson Jost, Oliver Wahlstrom, Juuso Parssinen, Joseph Veleno, Matthew Phillips, Rasmus Asplund, Rasmus Asplund, Raphael Lavoie, Jasper Weatherby, Isaac Ratcliffe, Sampo Ranta
Lignes de défense personnalisées en prolongation
Johnathan Kovacevic, Braden Schneider, Marcus Bjork, Michael Stone, Guillaume Brisebois


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1BAKERSFIELD Condors31101000913-420101000510-51100000043140.667913220010316416351126587338302010629367010440.00%8450.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
2BELLEVILLE Senators2200000024618110000001046110000001421241.000243458001031641635756587338302085277240161062.50%16568.75%0816126064.76%830131263.26%818124065.97%163887611365401323790
3BINGHAMTON Devils211000001716111000000114710100000612-620.5001730470010316416357665873383020882430477457.14%10730.00%1816126064.76%830131263.26%818124065.97%163887611365401323790
4BRIDGEPORT Sound Tigers22000000191361100000095411000000108241.0001928470010316416357165873383020723619426350.00%7442.86%1816126064.76%830131263.26%818124065.97%163887611365401323790
5BROOKLYN Wolfpack1100000011290000000000011000000112921.0001119300010316416353465873383020216142411545.45%2150.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
6CAROLINA Checkers2200000021516110000001046110000001111041.00021284900103164163574658733830207113485410660.00%40100.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
7CHICAGO Wolves3120000078-1110000004132020000037-420.3337132000103164163510265873383020701323587114.29%9277.78%0816126064.76%830131263.26%818124065.97%163887611365401323790
8CLEVELAND Monsters41102000181712010100078-121001000119260.75018314900103164163514165873383020143481810715853.33%9366.67%0816126064.76%830131263.26%818124065.97%163887611365401323790
9COLORADO Eagles41300000911-2211000006512020000036-320.25091524001031641635109658733830207625361068112.50%13653.85%0816126064.76%830131263.26%818124065.97%163887611365401323790
10GRAND RAPIDS Griffins210010001156110000008351000100032141.0001117280010316416356065873383020462053583266.67%4175.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
11HERSEY Bears1100000010281100000010280000000000021.00010152500103164163527658733830201829333133.33%20100.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
12LAVAL Rocket220000001138110000006151100000052341.0001120310010316416356465873383020722354397457.14%7271.43%0816126064.76%830131263.26%818124065.97%163887611365401323790
13LEHIGH VALLEY Phantoms22000000523110000003121100000021141.000571200103164163539658733830206414433300.00%2150.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
14MANITOBA Moose5500000053124133000000337262200000020515101.0005389142001031641635173658733830201154456166211571.43%13284.62%1816126064.76%830131263.26%818124065.97%163887611365401323790
15MILWAUKEE Admirals550000003892933000000194152200000019514101.0003860980010316416351806587338302099252615616956.25%8275.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
16PROVIDENCE Bruins220000001569110000009271100000064241.000152439001031641635676587338302051178616350.00%4175.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
17ROCHESTER Americans21100000862110000005231010000034-120.5008142200103164163579658733830201003022397571.43%6433.33%1816126064.76%830131263.26%818124065.97%163887611365401323790
18ROCKFORD IceHogs63100101312110430001002613132010000158-380.667315384011031641635200658733830202016710213218844.44%21766.67%0816126064.76%830131263.26%818124065.97%163887611365401323790
19SAN ANTONIO Rampage33000000346281100000012111220000002251761.000345185001031641635916587338302051181960181372.22%70100.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
20SAN DIEGO Gulls330000003232900000000000330000003232961.000325385011031641635956587338302047131972191368.42%70100.00%1816126064.76%830131263.26%818124065.97%163887611365401323790
21SCRANTON Penguins20200000814-61010000048-41010000046-200.0008122000103164163555658733830209936413511100.00%13746.15%1816126064.76%830131263.26%818124065.97%163887611365401323790
22STOCKTON Flames11000000422110000004220000000000021.0004711001031641635456587338302031174213133.33%2150.00%1816126064.76%830131263.26%818124065.97%163887611365401323790
23SYRACUSE Crunch11000000532110000005320000000000021.000571200103164163525658733830201422286116.67%110.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
24TUSCON Roadrunners53100100221842110000078-1320001001510570.7002235570010316416351506587338302015766619013753.85%13561.54%0816126064.76%830131263.26%818124065.97%163887611365401323790
25UTICA Comets320010001349210010007341100000061561.000132235011031641635946587338302073341056017317.65%15380.00%0816126064.76%830131263.26%818124065.97%163887611365401323790
Total68471305201435207228352650310022010111933218021012151061091070.78743569711320310316416352238658733830201970649881163125112851.00%2036966.01%7816126064.76%830131263.26%818124065.97%163887611365401323790
_Since Last GM Reset68471305201435207228352650310022010111933218021012151061091070.78743569711320310316416352238658733830201970649881163125112851.00%2036966.01%7816126064.76%830131263.26%818124065.97%163887611365401323790
_Vs Conference45299042012701241462315403100130626822145011011406278690.767270442712031031641635149265873383020116939950510981658350.30%1253572.00%3816126064.76%830131263.26%818124065.97%163887611365401323790
_Vs Division291860220117188831611301100984553137301101734330430.74117128345401103164163595365873383020791275299757914852.75%772567.53%1816126064.76%830131263.26%818124065.97%163887611365401323790

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
68107L2435697113222381970649881163103
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6847135201435207
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
352653100220101
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
332182101215106
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
25112851.00%2036966.01%7
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
658733830201031641635
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
816126064.76%830131263.26%818124065.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
163887611365401323790


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
2 - 2024-02-1213ROCKFORD IceHogs2IOWA Wild12WSommaire du match
3 - 2024-02-1330UTICA Comets3IOWA Wild4WXR3Sommaire du match
4 - 2024-02-1437IOWA Wild11SAN DIEGO Gulls1WSommaire du match
6 - 2024-02-1650IOWA Wild5CLEVELAND Monsters4WXSommaire du match
7 - 2024-02-1763COLORADO Eagles2IOWA Wild5WSommaire du match
8 - 2024-02-1874IOWA Wild4TUSCON Roadrunners5LXSommaire du match
9 - 2024-02-1990ROCKFORD IceHogs4IOWA Wild6WSommaire du match
10 - 2024-02-2099IOWA Wild5LAVAL Rocket2WSommaire du match
11 - 2024-02-21114IOWA Wild10MILWAUKEE Admirals2WSommaire du match
12 - 2024-02-22124MILWAUKEE Admirals2IOWA Wild7WSommaire du match
14 - 2024-02-24143MANITOBA Moose3IOWA Wild13WSommaire du match
16 - 2024-02-26158ROCKFORD IceHogs0IOWA Wild2WSommaire du match
19 - 2024-02-29178IOWA Wild4TUSCON Roadrunners1WSommaire du match
20 - 2024-03-01189TUSCON Roadrunners3IOWA Wild5WSommaire du match
21 - 2024-03-02203IOWA Wild12SAN DIEGO Gulls0WSommaire du match
22 - 2024-03-03213SAN ANTONIO Rampage1IOWA Wild12WSommaire du match
23 - 2024-03-04229SYRACUSE Crunch3IOWA Wild5WSommaire du match
25 - 2024-03-06241IOWA Wild10BRIDGEPORT Sound Tigers8WSommaire du match
26 - 2024-03-07257IOWA Wild11CAROLINA Checkers1WSommaire du match
27 - 2024-03-08266CLEVELAND Monsters4IOWA Wild5WXSommaire du match
29 - 2024-03-10281IOWA Wild3ROCHESTER Americans4LSommaire du match
30 - 2024-03-11291GRAND RAPIDS Griffins3IOWA Wild8WSommaire du match
31 - 2024-03-12306IOWA Wild9MILWAUKEE Admirals3WSommaire du match
32 - 2024-03-13317CAROLINA Checkers4IOWA Wild10WSommaire du match
33 - 2024-03-14330IOWA Wild14BELLEVILLE Senators2WR3Sommaire du match
35 - 2024-03-16344CHICAGO Wolves1IOWA Wild4WSommaire du match
36 - 2024-03-17358IOWA Wild2ROCKFORD IceHogs4LSommaire du match
37 - 2024-03-18369UTICA Comets0IOWA Wild3WR3Sommaire du match
38 - 2024-03-19382IOWA Wild8MANITOBA Moose2WSommaire du match
39 - 2024-03-20393ROCHESTER Americans2IOWA Wild5WSommaire du match
41 - 2024-03-22411IOWA Wild7TUSCON Roadrunners4WSommaire du match
42 - 2024-03-23421CLEVELAND Monsters4IOWA Wild2LSommaire du match
44 - 2024-03-25438IOWA Wild11BROOKLYN Wolfpack2WSommaire du match
45 - 2024-03-26448LAVAL Rocket1IOWA Wild6WSommaire du match
46 - 2024-03-27462IOWA Wild6PROVIDENCE Bruins4WSommaire du match
47 - 2024-03-28474MILWAUKEE Admirals1IOWA Wild7WSommaire du match
49 - 2024-03-30495HERSEY Bears2IOWA Wild10WSommaire du match
50 - 2024-03-31511IOWA Wild2CHICAGO Wolves3LSommaire du match
51 - 2024-04-01514IOWA Wild3GRAND RAPIDS Griffins2WXSommaire du match
52 - 2024-04-02525COLORADO Eagles3IOWA Wild1LSommaire du match
54 - 2024-04-04547MANITOBA Moose2IOWA Wild11WSommaire du match
56 - 2024-04-06564IOWA Wild4BAKERSFIELD Condors3WSommaire du match
57 - 2024-04-07572IOWA Wild6CLEVELAND Monsters5WSommaire du match
58 - 2024-04-08579BINGHAMTON Devils4IOWA Wild11WSommaire du match
59 - 2024-04-09598SCRANTON Penguins8IOWA Wild4LSommaire du match
62 - 2024-04-12623ROCKFORD IceHogs7IOWA Wild6LXSommaire du match
63 - 2024-04-13634IOWA Wild12MANITOBA Moose3WSommaire du match
64 - 2024-04-14644IOWA Wild2COLORADO Eagles4LSommaire du match
65 - 2024-04-15653BRIDGEPORT Sound Tigers5IOWA Wild9WSommaire du match
66 - 2024-04-16667IOWA Wild1CHICAGO Wolves4LSommaire du match
67 - 2024-04-17676STOCKTON Flames2IOWA Wild4WSommaire du match
69 - 2024-04-19694IOWA Wild3ROCKFORD IceHogs4LXXSommaire du match
71 - 2024-04-21701IOWA Wild6UTICA Comets1WR3Sommaire du match
72 - 2024-04-22712MILWAUKEE Admirals1IOWA Wild5WSommaire du match
73 - 2024-04-23729BAKERSFIELD Condors8IOWA Wild2LSommaire du match
74 - 2024-04-24740IOWA Wild6BINGHAMTON Devils12LSommaire du match
75 - 2024-04-25755BAKERSFIELD Condors2IOWA Wild3WXSommaire du match
76 - 2024-04-26764IOWA Wild2LEHIGH VALLEY Phantoms1WSommaire du match
78 - 2024-04-28781BELLEVILLE Senators4IOWA Wild10WR3Sommaire du match
80 - 2024-04-30804MANITOBA Moose2IOWA Wild9WSommaire du match
81 - 2024-05-01810IOWA Wild1COLORADO Eagles2LSommaire du match
82 - 2024-05-02822IOWA Wild12SAN ANTONIO Rampage1WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
83 - 2024-05-03835PROVIDENCE Bruins2IOWA Wild9WSommaire du match
85 - 2024-05-05848IOWA Wild9SAN DIEGO Gulls2WSommaire du match
86 - 2024-05-06863LEHIGH VALLEY Phantoms1IOWA Wild3WSommaire du match
87 - 2024-05-07872IOWA Wild10SAN ANTONIO Rampage4WSommaire du match
88 - 2024-05-08887IOWA Wild4SCRANTON Penguins6LSommaire du match
89 - 2024-05-09890TUSCON Roadrunners5IOWA Wild2LSommaire du match
91 - 2024-05-11912BROOKLYN Wolfpack-IOWA Wild-
92 - 2024-05-12926IOWA Wild-HERSEY Bears-
94 - 2024-05-14939SAN DIEGO Gulls-IOWA Wild-
96 - 2024-05-16963IOWA Wild-SYRACUSE Crunch-
97 - 2024-05-17967COLORADO Eagles-IOWA Wild-
99 - 2024-05-19990BELLEVILLE Senators-IOWA Wild-
100 - 2024-05-20996IOWA Wild-STOCKTON Flames-
101 - 2024-05-211004IOWA Wild-LAVAL Rocket-
103 - 2024-05-231016UTICA Comets-IOWA Wild-
104 - 2024-05-241018IOWA Wild-CLEVELAND Monsters-
105 - 2024-05-251024IOWA Wild-STOCKTON Flames-
107 - 2024-05-271036IOWA Wild-LAVAL Rocket-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,703,031$ 2,095,000$ 2,095,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
19,220$ 1,703,031$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 20 19,220$ 384,400$




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