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Iowa
GP: 82 | W: 33 | L: 45 | OTL: 4 | P: 70
GF: 278 | GA: 338 | PP%: 17.01% | PK%: 75.24%
DG: Martin Mercier | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
San Jose
53-27-2, 108pts
12
FINAL
5 Iowa
33-45-4, 70pts
Team Stats
L1SéquenceL4
29-11-1Fiche domicile20-19-2
24-16-1Fiche domicile13-26-2
7-3-0Derniers 10 matchs3-6-1
4.51Buts par match 3.39
3.62Buts contre par match 4.12
25.54%Pourcentage en avantage numérique17.01%
78.13%Pourcentage en désavantage numérique75.24%
Iowa
33-45-4, 70pts
5
FINAL
6 Bridgeport
42-37-3, 87pts
Team Stats
L4SéquenceW1
20-19-2Fiche domicile22-18-1
13-26-2Fiche domicile20-19-2
3-6-1Derniers 10 matchs6-4-0
3.39Buts par match 4.11
4.12Buts contre par match 4.13
17.01%Pourcentage en avantage numérique28.53%
75.24%Pourcentage en désavantage numérique75.58%
Meneurs d'équipe
Buts
Justin Bailey
32
Passes
Alexander True
48
Points
Alexander True
72
Plus/Moins
Justin Bailey
6
Victoires
Jon Gillies
14
Pourcentage d’arrêts
Tuukka Rask
0.92

Statistiques d’équipe
Buts pour
278
3.39 GFG
Tirs pour
3420
41.71 Avg
Pourcentage en avantage numérique
17.0%
58 GF
Début de zone offensive
41.5%
Buts contre
338
4.12 GAA
Tirs contre
3672
44.78 Avg
Pourcentage en désavantage numérique
75.2%%
78 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralMartin Mercier
EntraîneurRalph Krueger
DivisionCentrale
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,285
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure20
Limite contact 40 / 50
Espoirs32


Historique d'équipe

Saison actuelle33-45-4 (70PTS)
Historique99-132-16 (0.401%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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 moyen
1Danny O'ReganX100.00682398757673786574656562756058435000281700,000$
2Nicolas DeslauriersXX100.009388587290739468706770637569762550003121,300,000$
3Alexander True (R)X100.00773475819778877175707068794341575000241600,000$
4Nikita GusevXX97.00672799817082827268687457925955605000292975,000$
5Michael AmadioX98.006833998288858973876876648049455650002622,000,000$
6Dylan SikuraXXX100.00643097847572856868676869765453485000273875,000$
7Jonathan Dahlen (R)XX98.00633297848085887573727664784544715000241800,000$
8Darren Raddysh (R)X100.00752893758472754150384083765656435000263750,000$
9Sebastian Aho (D) (R)X100.00712781827677815051464681724949625000262725,000$
10Dysin MayoX100.008132827987928251515149887749465950002511,500,000$
11Tarmo Reunanen (R)X100.00762980868781854553454481744242645000241500,000$
12Kevin GravelX100.00723174689474875250525284776159465000303775,000$
13Brandon DavidsonX100.00683180698784885450525289776456355000303890,000$
14Fredrik ClaessonX100.00753277788684855350515084715754525000292675,000$
15Lawrence PilutX100.00693887867793875355505087764844635000261700,000$
Rayé
1Justin BaileyXX100.00633391849180797177707167734947455000272850,000$
2Oscar LindbergXXX100.00683285757674957387687366775953365000302650,000$
MOYENNE D’ÉQUIPE99.5972348579848085616459607477545251500
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 moyen
Rayé
1Tuukka Rask100.00689092787987878588768095873650003523,000,000$
2Jon Gillies100.0064757384748383818078755858595000281650,000$
3Nico Daws (R)100.0066867978748281828179773434765000211800,000$
MOYENNE D’ÉQUIPE100.006684818076848483837877626057500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ralph Krueger82828583968661CAN6132,000,000$


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
1Alexander TrueIowa (MIN)C75244872-97420192149289792268.30%27156620.89516217225410131422149.42%231300000.9200111334
2Justin BaileyIowa (MIN)LW/RW76322860617576903138520310.22%23142818.80661250176000101262148.86%26400020.8400001713
3Nikita GusevIowa (MIN)LW/RW82252954-1621551104319882297.84%11149318.214711602261014673248.31%17800000.7200001252
4Nicolas DeslauriersIowa (MIN)LW/RW78252752-1114830273572475618210.12%10135917.434812371670111544052.50%20000000.7700312142
5Dysin MayoIowa (MIN)D69124052-2170010273186701116.45%145158022.913811852430111199100%000000.6600000010
6Fredrik ClaessonIowa (MIN)D82113849-1469510863167521006.59%149154818.894610742000110170400%000000.6300010224
7Oscar LindbergIowa (MIN)C/LW/RW67192948-2318083136284751766.69%15127419.03448591910005604055.06%168000100.7511000114
8Connor CliftonMinnesotaD5893544-5971514378161521085.59%139132122.7941014842030005150110%000000.6700021022
9Dylan SikuraIowa (MIN)C/LW/RW82232144-295411552256416010.22%19126115.381019440007771146.28%146700000.7000001331
10Kevin GravelIowa (MIN)D8293443-136157955163491185.52%147171520.9251116812710002227210%000000.5000010312
11Danny O'ReganIowa (MIN)C8212243622403884129361109.30%9119014.52000031014451048.68%56700010.6000000012
12Jonathan DahlenIowa (MIN)LW/RW43152035-231002778226571556.64%594922.0914536119011101112253.54%25400000.7401000020
13Eeli TolvanenMinnesotaLW/RW3372229-3180492913542865.19%359518.042810361170002321052.94%6800000.9700000300
14Brandon DavidsonIowa (MIN)D3981624-116026318729619.20%8983921.53415461340001114000%000000.5700000111
15Tarmo ReunanenIowa (MIN)D7941418-651575427523335.33%87102913.0300041901127201100.00%100000.3500001001
16Carson SoucyMinnesotaD2651116-1241554235617478.93%7155721.434373189000168100%000000.5700000001
17Lawrence PilutIowa (MIN)D4131013-118025335116355.88%4855413.52000819000013000%000000.4700000011
18Sebastian Aho (D)Iowa (MIN)D823912-232050334416296.82%657719.41000030000391016.67%1200000.3100000000
19Michael AmadioIowa (MIN)C1621012-142013426718702.99%838223.910339461013540056.44%50500000.6300000000
20Darren RaddyshIowa (MIN)D823710-11601617347208.82%294905.99000340000120128.57%1400000.4100000000
21Zach BogosianMinnesotaD5235-340571941010.53%1312925.90101522000011100%000000.7700000000
Statistiques d’équipe totales ou en moyenne1279253475728-18280610015261379327793522697.72%11122204117.2352951477892561459611855311150.60%752300130.6612468262830
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
1Jon GilliesIowa (MIN)33141720.9113.7019286111913370410.50043337133
2Tuukka RaskIowa (MIN)29131510.9203.73173940108134600100292441
3Nico DawsIowa (MIN)155810.9153.838770056655011001429011
Statistiques d’équipe totales ou en moyenne77324040.9153.744545101283333805347668585


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 Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Lien
Alexander TrueIowa (MIN)C241997-07-17Yes202 Lbs6 ft5NoNoNoNo1Pro & Farm600,000$3,509$0$0$NoLien
Brandon DavidsonIowa (MIN)D301991-08-21No219 Lbs6 ft2NoNoNoNo3Pro & Farm890,000$5,205$0$0$No890,000$890,000$Lien
Danny O'ReganIowa (MIN)C281994-01-30 05:12:53No180 Lbs5 ft10NoNoNoNo1Pro & Farm700,000$4,094$0$0$NoLien
Darren RaddyshIowa (MIN)D261996-02-28 05:20:14Yes200 Lbs6 ft1NoNoNoNo3Pro & Farm750,000$4,386$0$0$No750,000$750,000$Lien
Dylan SikuraIowa (MIN)C/LW/RW271995-06-01 21:26:40No170 Lbs5 ft11NoNoNoNo3Pro & Farm875,000$5,117$0$0$No875,000$875,000$Lien
Dysin Mayo (contrat à 1 volet)Iowa (MIN)D251996-08-17 07:55:39No195 Lbs6 ft2NoNoYesYes1Pro & Farm1,500,000$15,000$0$NoLien
Fredrik ClaessonIowa (MIN)D291992-11-24No198 Lbs6 ft1NoNoNoNo2Pro & Farm675,000$3,947$0$0$No675,000$Lien
Jon GilliesIowa (MIN)G281994-01-22 09:32:13No225 Lbs6 ft6NoNoNoNo1Pro & Farm650,000$3,801$0$0$NoLien
Jonathan DahlenIowa (MIN)LW/RW241997-12-20 21:32:48Yes180 Lbs5 ft11NoNoNoNo1Pro & Farm800,000$4,678$0$0$NoLien
Justin BaileyIowa (MIN)LW/RW271995-07-01No220 Lbs6 ft3NoNoNoNo2Pro & Farm850,000$4,971$0$0$No850,000$Lien
Kevin GravelIowa (MIN)D301992-03-06No214 Lbs6 ft4NoNoNoNo3Pro & Farm775,000$4,532$0$0$No775,000$775,000$Lien
Lawrence PilutIowa (MIN)D261995-12-30No186 Lbs5 ft11NoNoNoNo1Pro & Farm700,000$4,094$0$0$NoLien
Michael Amadio (contrat à 1 volet)Iowa (MIN)C261996-05-13No207 Lbs6 ft1NoNoYesYes2Pro & Farm2,000,000$20,000$0$No2,000,000$Lien
Nico DawsIowa (MIN)G212000-12-22 08:20:49Yes197 Lbs6 ft2NoNoNoNo1Pro & Farm800,000$4,678$0$0$No
Nicolas DeslauriersIowa (MIN)LW/RW311991-02-22 07:15:59No219 Lbs6 ft3NoNoNoNo2Pro & Farm1,300,000$7,602$0$0$No1,300,000$Lien
Nikita GusevIowa (MIN)LW/RW291992-07-08No165 Lbs5 ft9NoNoNoNo2Pro & Farm975,000$5,702$0$0$No975,000$
Oscar Lindberg (contrat à 1 volet)Iowa (MIN)C/LW/RW301991-10-29No201 Lbs6 ft1NoNoYesYes2Pro & Farm650,000$6,500$0$No650,000$Lien
Sebastian Aho (D)Iowa (MIN)D261996-02-17 17:00:24Yes188 Lbs5 ft10NoNoNoNo2Pro & Farm725,000$4,240$0$0$No725,000$Lien
Tarmo ReunanenIowa (MIN)D241998-03-01Yes186 Lbs6 ft0NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Tuukka Rask (contrat à 1 volet)Iowa (MIN)G351987-03-10 05:37:02No198 Lbs6 ft3NoNoYesYes2Pro & Farm3,000,000$30,000$0$No3,000,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.30198 Lbs6 ft11.80985,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan DahlenMichael AmadioNikita Gusev35122
2Nicolas DeslauriersAlexander TrueDylan Sikura33122
3Sebastian Aho (D)Danny O'ReganDarren Raddysh30122
4Michael AmadioJonathan DahlenNikita Gusev2122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoFredrik Claesson35122
2Brandon DavidsonKevin Gravel30122
3Lawrence PilutTarmo Reunanen25122
4Sebastian Aho (D)Darren Raddysh10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonathan DahlenMichael AmadioNikita Gusev50122
2Nicolas DeslauriersAlexander TrueDylan Sikura50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoFredrik Claesson50122
2Brandon DavidsonKevin Gravel50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jonathan DahlenMichael Amadio50122
2Nikita GusevAlexander True50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoFredrik Claesson50122
2Brandon DavidsonKevin Gravel50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonathan Dahlen50122Dysin MayoFredrik Claesson50122
2Michael Amadio50122Brandon DavidsonKevin Gravel50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonathan DahlenMichael Amadio50122
2Nikita GusevAlexander True50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoFredrik Claesson50122
2Brandon DavidsonKevin Gravel50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan DahlenMichael AmadioNikita GusevDysin MayoFredrik Claesson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonathan DahlenMichael AmadioNikita GusevDysin MayoFredrik Claesson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Danny O'Regan, Nicolas Deslauriers, Dylan SikuraDanny O'Regan, Nicolas DeslauriersDylan Sikura
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Lawrence Pilut, Tarmo Reunanen, Sebastian Aho (D)Lawrence PilutTarmo Reunanen, Sebastian Aho (D)
Tirs de pénalité
Jonathan Dahlen, Michael Amadio, Nikita Gusev, Alexander True, Nicolas Deslauriers
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Jonathan Dahlen, Michael Amadio, Nikita Gusev, Alexander True, Nicolas Deslauriers, Dylan Sikura, Dylan Sikura, Danny O'Regan, , ,
Lignes de défense personnalisées en prolongation
Dysin Mayo, Fredrik Claesson, Brandon Davidson, Kevin Gravel, Lawrence Pilut


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
1Abbotsford440000002071322000000103722000000104681.00020385800102937871661152113811082616745167515320.00%7185.71%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
2Bakersfield412000101624-821100000910-120100010714-740.50016264200102937871901152113811082620839468323313.04%211147.62%11730353948.88%1673358146.72%711139850.86%1909127919386291095547
3Bridgeport3120000012102211000007431010000056-120.33312213300102937871261152113811082611750483920315.00%6183.33%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
4Charlotte22000000752110000004311100000032141.000713200010293787861152113811082611238224510220.00%10190.00%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
5Cleveland211000001013-310100000610-41100000043120.500101727001029378781115211381108268828213211327.27%8537.50%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
6Coachella Valley2010010049-51000010034-11010000015-410.2504812001029378780115211381108261122923268112.50%90100.00%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
7Eagles513010001820-231101000109120200000811-340.400183250001029378719211521138110826237755810913323.08%27677.78%11730353948.88%1673358146.72%711139850.86%1909127919386291095547
8Grand Rapids2110000067-1110000004131010000026-420.500610160010293787911152113811082681332938600.00%12375.00%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
9Hartford20002000862100010005411000100032141.00081321001029378710211521138110826953420408337.50%10370.00%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
10Hershey211000008711010000035-21100000052320.50081523101029378781115211381108261023218407228.57%9188.89%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
11Laval210010001073110000005321000100054141.00010162600102937877811521138110826892723326350.00%50100.00%11730353948.88%1673358146.72%711139850.86%1909127919386291095547
12Lehigh Valley20200000611-51010000057-21010000014-300.000612181010293787111115211381108268520441900.00%20100.00%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
13Manitoba6410010026206330000001486311001001212090.750264773001029378725411521138110826236705113233412.12%18572.22%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
14Ontario412001001219-72110000066020100100613-730.37512213300102937871611152113811082615747367316318.75%16475.00%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
15Providence2020000027-51010000003-31010000024-200.0002460010293787741152113811082673211043400.00%5260.00%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
16Rochester20200000410-61010000003-31010000047-300.000481210102937877611521138110826762214466233.33%7271.43%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
17Rockford624000001319-63120000088031200000511-640.3331321340010293787213115211381108262466453942328.70%24579.17%11730353948.88%1673358146.72%711139850.86%1909127919386291095547
18San Diego413000001017-72110000077020200000310-720.2501016260010293787167115211381108261984933791400.00%13561.54%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
19San Jose606000001636-2020200000917-840400000719-1200.00016304600102937872111152113811082629387639920315.00%28967.86%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
20Springfield624000001928-931200000710-3312000001218-640.333192948001029378725111521138110826291805310630620.00%18477.78%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
21Syracuse623001002526-13110010014140312000001112-150.417254671001029378728711521138110826294855810927622.22%27581.48%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
22Texas624000001722-531200000911-231200000811-340.333173047011029378722211521138110826239766510523313.04%25292.00%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
23Wilkes-Barre/Scranton21100000981110000006331010000035-220.50091625001029378712011521138110826761718359333.33%8362.50%01730353948.88%1673358146.72%711139850.86%1909127919386291095547
Total82284504410278338-6041181902200151153-241102602210127185-58700.42727848976731102937873420115211381108263672106878215213415817.01%3157875.24%41730353948.88%1673358146.72%711139850.86%1909127919386291095547
_Since Last GM Reset82284504410278338-6041181902200151153-241102602210127185-58700.42727848976731102937873420115211381108263672106878215213415817.01%3157875.24%41730353948.88%1673358146.72%711139850.86%1909127919386291095547
_Vs Conference57203201310192238-46281313011001031030297190021089135-46470.4121923365280110293787231411521138110826256671753210642373615.19%2245774.55%31730353948.88%1673358146.72%711139850.86%1909127919386291095547
_Vs Division2912160020093109-16157700100484621459001004563-18260.44893159252011029378711321152113811082612493652805461221814.75%1122280.36%21730353948.88%1673358146.72%711139850.86%1909127919386291095547

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8270L4278489767342036721068782152131
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8228454410278338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118192200151153
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4110262210127185
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3415817.01%3157875.24%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
1152113811082610293787
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
1730353948.88%1673358146.72%711139850.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1909127919386291095547


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
12Iowa3San Jose5ALSommaire du match
212Iowa2Rockford1AWSommaire du match
423Texas0Iowa4BWSommaire du match
638Manitoba1Iowa5BWSommaire du match
849Iowa2Texas3ALSommaire du match
1164Rockford1Iowa3BWSommaire du match
1380Iowa2Texas6ALSommaire du match
1586Springfield6Iowa3BLSommaire du match
17102Iowa4Manitoba5ALXSommaire du match
19110Eagles2Iowa3BWSommaire du match
20120Iowa4Springfield6ALSommaire du match
22133Iowa5Syracuse2AWSommaire du match
24143Syracuse6Iowa5BLXSommaire du match
26154Iowa0San Jose4ALSommaire du match
28167San Jose5Iowa4BLSommaire du match
30180Iowa4Syracuse5ALSommaire du match
32191Manitoba6Iowa7BWSommaire du match
34204Iowa1Lehigh Valley4ALSommaire du match
35214Laval3Iowa5BWSommaire du match
38230Springfield1Iowa3BWSommaire du match
39240Iowa2Syracuse5ALSommaire du match
41253Syracuse4Iowa6BWSommaire du match
44268Iowa5Laval4AWXSommaire du match
45277Syracuse4Iowa3BLSommaire du match
48293Wilkes-Barre/Scranton3Iowa6BWSommaire du match
50303Iowa4Springfield3AWSommaire du match
52315Iowa5Eagles7ALSommaire du match
54323Iowa2Grand Rapids6ALSommaire du match
56333Bakersfield4Iowa6BWSommaire du match
58349Iowa6Bakersfield5AWXXSommaire du match
59358Coachella Valley4Iowa3BLXSommaire du match
62374Bridgeport2Iowa6BWSommaire du match
64384Iowa6Manitoba3AWSommaire du match
66395Iowa2Providence4ALSommaire du match
67403Hartford4Iowa5BWXSommaire du match
70419Iowa4Rochester7ALSommaire du match
71428Rockford3Iowa2BLSommaire du match
74444Iowa4Springfield9ALSommaire du match
75455Hershey5Iowa3BLSommaire du match
77467Bridgeport2Iowa1BLSommaire du match
78477Iowa3Eagles4ALSommaire du match
81492Lehigh Valley7Iowa5BLSommaire du match
83501Iowa2San Diego5ALSommaire du match
85516Iowa1San Diego5ALSommaire du match
87522Providence3Iowa0BLSommaire du match
89534Iowa0Rockford4ALSommaire du match
90545Ontario2Iowa5BWSommaire du match
93563Iowa2Manitoba4ALSommaire du match
94569Eagles4Iowa5BWXSommaire du match
98586Iowa3Rockford6ALSommaire du match
100596Springfield3Iowa1BLSommaire du match
102612Rochester3Iowa0BLSommaire du match
105631Abbotsford1Iowa5BWSommaire du match
107642Iowa5Hershey2AWSommaire du match
108656Texas6Iowa4BLSommaire du match
110665Iowa3Wilkes-Barre/Scranton5ALSommaire du match
112680Iowa2San Jose6ALSommaire du match
114686Iowa4Cleveland3AWSommaire du match
115693Ontario4Iowa1BLSommaire du match
118710Eagles3Iowa2BLSommaire du match
120726Grand Rapids1Iowa4BWSommaire du match
122737Iowa3Charlotte2AWSommaire du match
125750Iowa3Hartford2AWXSommaire du match
126759San Diego2Iowa5BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
130777Iowa1Coachella Valley5ALSommaire du match
131783Manitoba1Iowa2BWSommaire du match
136803Bakersfield6Iowa3BLSommaire du match
139822San Diego5Iowa2BLSommaire du match
141834Iowa4Texas2AWSommaire du match
144847Texas5Iowa1BLSommaire du match
146861Iowa1Bakersfield9ALSommaire du match
147870Charlotte3Iowa4BWSommaire du match
149877Iowa6Abbotsford2AWSommaire du match
151892Abbotsford2Iowa5BWSommaire du match
153902Iowa2San Jose4ALSommaire du match
155909Iowa4Abbotsford2AWSommaire du match
156921Rockford4Iowa3BLSommaire du match
157928Iowa4Ontario5ALXSommaire du match
160944Cleveland10Iowa6BLSommaire du match
163959Iowa2Ontario8ALSommaire du match
167968San Jose12Iowa5BLSommaire du match
168973Iowa5Bridgeport6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,70430,973
Assistance PCT76.47%75.54%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2285 - 76.16% 133,828$5,486,928$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,431,528$ 1,256,500$ 1,256,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,348$ 1,443,208$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 19,044$ 19,044$




Iowa 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
1Laurent Dauphin19864140204-15701884487868.14%47416421.031955741822131711651.59%10.9826
2Maxim Mamin2348297179710833421279010.38%28388116.59152944147000016346.74%30.9202
3Ben Hutton19249129178-11721002425169.50%374436622.742135562830008530%00.8200
4Nikolai Prokhorkin22677991765111226927262512.32%40406918.0115223711504494653.01%20.8608
5Travis Dermott24558115173-61502731996029.63%465527221.523338712980225420%00.6600

Iowa 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
1Antti Raanta94424660.9093.9656058037040600220.66724
2Mike Smith49311520.9092.8928610213815100400.7789
3Spencer Martin62223060.9133.84365412023427000400.75016
4Jeff Zatkoff2912930.8973.33145900817860010.6676

Iowa 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
Saison régulière
208238270103223092595041211205111157124334117150521115213517105309526835121179189133042980972103868263676161114113777519.89%2655579.25%21802331754.33%1561295752.79%711135052.67%2045142318616161066540
2182284301433301344-4341141901232151169-1841142400201150175-257130151982010127917973390110211371120513670111174914993317322.05%3268773.31%21695347048.85%1660363645.65%665141946.86%1911128819636341084534
2182284301433301344-4341141901232151169-1841142400201150175-257130151982010127917973390110211371120513670111174914993317322.05%3268773.31%21695347048.85%1660363645.65%665141946.86%1911128819636341084534
Total Saison régulière246831320121144780972-192123515806611417458-41123327406533363514-151213780137121517429725221523931730983053308911110263295025024614100317217.15%100822677.58%1148851002848.71%48251037546.51%1994407648.92%569638165895189632601610
Séries éliminatoires
201486000004446-28620000027234624000001723-6164476120001511171471175140155146811312123768913.24%56689.29%229856852.46%26654448.90%10723345.92%33923132210317887
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Iowa 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
1Laurent Dauphin14105155419315318.87%429020.765051810113048.95%11.0300
2Sven Andrighetto1431013541016368.33%224617.63022800000065.00%01.0500
3Jack Johnson143811569142611.54%2530621.89022170000010%00.7200
4Maxim Mamin146511561973616.67%024417.43112400000057.14%10.9000
5Jordan Schroeder14459-741013478.51%225218.01134900002028.57%00.7100

Iowa 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
1Mike Smith148600.8993.32814204544400000
2Jeff Zatkoff10000.9582.40250012400000