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Iowa
GP: 82 | W: 34 | L: 44 | OTL: 4 | P: 72
GF: 257 | GA: 305 | PP%: 17.43% | PK%: 77.18%
DG: Martin Mercier | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Rockford
49-27-6, 104pts
4
3 Iowa
34-44-4, 72pts
Team Stats
W7SéquenceW1
27-11-3Fiche domicile17-21-3
22-16-3Fiche domicile17-23-1
8-2-0Derniers 10 matchs7-1-2
2.95Buts par match 3.13
2.62Buts contre par match 3.72
19.34%Pourcentage en avantage numérique17.43%
81.70%Pourcentage en désavantage numérique77.18%
Texas
42-33-7, 91pts
2
3 Iowa
34-44-4, 72pts
Team Stats
L1SéquenceW1
23-15-3Fiche domicile17-21-3
19-18-4Fiche domicile17-23-1
6-4-0Derniers 10 matchs7-1-2
3.18Buts par match 3.13
2.74Buts contre par match 3.72
15.08%Pourcentage en avantage numérique17.43%
81.67%Pourcentage en désavantage numérique77.18%
Meneurs d'équipe
Buts
Alexander True
27
Passes
Tarmo Reunanen
45
Points
Alexander True
66
Plus/Moins
Matt Irwin
12
Victoires
Jon Gillies
17
Nico DawsPourcentage d’arrêts
Nico Daws
0.923

Statistiques d’équipe
Buts pour
257
3.13 GFG
Tirs pour
2814
34.32 Avg
Pourcentage en avantage numérique
17.4%
53 GF
Début de zone offensive
40.0%
Buts contre
305
3.72 GAA
Tirs contre
3198
39.00 Avg
Pourcentage en désavantage numérique
77.2%%
76 GA
Début de la zone défensive
41.9%
Informations de l'équipe

Directeur généralMartin Mercier
EntraîneurRalph Krueger
DivisionCentrale
ConférenceConference ouest
CapitainePatrik Berglund
Assistant #1Mike Santorelli
Assistant #2Devin Setoguchi


Informations de l’aréna

Capacité3,000
Assistance2,149
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 50
Espoirs30


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
1Gabriel BourqueXX100.00613693726682876653666667796771295000331500,000$
2Alexander TrueX100.0075357580977889707570686679494547500X02611,050,000$
3Wayne SimmondsXX100.00824071638376926568636861798174255000351500,000$
4Derek GrantXXX100.00663185598064816893686762826962295000341500,000$
5Christian FischerXX100.00762699788982986972687070795753575000272925,000$
6Devin Setoguchi (A)XX100.00693488547368886771656864789378185000371500,000$
7Patrik Berglund (C)XXX100.00673193557364866761666867788784185000361500,000$
8Kevin LabancX100.00763792848190987176717252825649555000282975,000$
9Valeri NichushkinXX100.007530967692859073736873718360525250002911,000,000$
10Dylan SikuraXXX100.00612898847671856863676764766257405000291875,000$
11Jonathan DahlenXX100.006435989078909373757272638050476650002611,100,000$
12Mike Santorelli (A)XXX100.00532797467368966488616564817880235000381500,000$
13Linus Karlsson (R)XX100.00713092678072996870666763704646585000242500,000$
14Dysin MayoX100.00723279798890835351525288775446525000273950,000$
15Tarmo Reunanen (R)X100.00743377899084884755454879764944555000262750,000$
16Kevin GravelX100.00702970649171895350495583766764375000321775,000$
17Matt IrwinX100.00603480527171965350495491556864275000362500,000$
18Ben HarpurX100.00744958729589894654465286735351515000291500,000$
19Lawrence PilutX100.00674089877793885156504781755445545000282825,000$
20Emil Martinsen Lilleberg (R)X100.00856072758377995150574489704242775000232500,000$
Rayé
1Sam GagnerXXX100.00632190628061856669656557786659255000351500,000$
MOYENNE D’ÉQUIPE100.0070348571827790626561627176625843500
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
1Jon Gillies100.0063757584768585838278756161565000301500,000$
2Nico Daws (R)100.0066868078798785868679773737735000231975,000$
Rayé
MOYENNE D’ÉQUIPE100.006581788178868585847976494965500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ralph Krueger82828583968661CAN6312,000,000$


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)C82273966-23801411392385417211.34%10136716.6751116441840004913149.60%187500100.9702000137
2Tarmo ReunanenIowa (MIN)D82124557988010783149531148.05%131179821.93510157421801132012050.00%600000.6300000115
3Dysin MayoIowa (MIN)D65193655-946084821735611410.98%151155523.9391120772040112185040%000100.7100000431
4Gabriel BourqueIowa (MIN)LW/RW82193554-1428104082255821817.45%26156419.085152058212011132274037.60%12500000.6902011210
5Linus KarlssonIowa (MIN)C/RW82163046-173008483182621388.79%12124115.145813291620001164048.72%62600010.7411000213
6Kevin LabancIowa (MIN)RW82133144150108265217591455.99%6136816.6905524930002812146.23%10600000.6411101123
7Derek GrantIowa (MIN)C/LW/RW77192443-618051110167458811.38%9120615.671101141175213101674157.87%146200000.7103000243
8Patrik BerglundIowa (MIN)C/LW/RW6217223941604078120288314.17%688614.30145954000072146.55%117300000.8812000051
9Dylan SikuraIowa (MIN)C/LW/RW82201737-66016881516013413.25%696911.8240410490003182143.95%76000010.7602000500
10Matt IrwinIowa (MIN)D6511193012360294279204913.92%9394714.581342472011195010%000000.6300000212
11Kevin GravelIowa (MIN)D8272229-8480764815454954.55%123170420.78448882420112242000%000000.3400000000
12Jonathan DahlenIowa (MIN)LW/RW75141529-201551893197491387.11%699913.3321313540003483143.81%19400100.5800100112
13Lawrence PilutIowa (MIN)D8252328-7351530515615298.93%84107713.1401102000013000%100000.5200102002
14Wayne SimmondsIowa (MIN)LW/RW7761723-26001563511230955.36%6102813.3601112951015950049.40%8300000.4500000122
15Christian FischerIowa (MIN)LW/RW6181220-5260463112134776.61%1769911.4700016000051043.75%6400000.5700000120
16Devin SetoguchiIowa (MIN)LW/RW6281119-1426049218633669.30%677212.47246201260000400148.44%6400010.4900000112
17Valeri NichushkinIowa (MIN)LW/RW27107179100222910218739.80%538714.3514519450000180054.17%12000010.8800000211
18Ben HarpurIowa (MIN)D5741216-11851581545615557.14%81100617.6713418680001130000%100000.3200003001
19Emil Martinsen LillebergIowa (MIN)D2811314-1040062353712252.70%6059521.260337450000580016.67%600000.4700000110
20Sam GagnerIowa (MIN)C/LW/RW3831013-11802022369418.33%453013.951013640001550046.61%33900000.4900000000
21Mike SantorelliIowa (MIN)C/LW/RW724913-2206205616347.14%126028.3710116790001931053.01%16600000.4312000000
22Darren RaddyshMinnesotaD273912-660201722141413.64%5152819.570111076000069200%000000.4501000120
23Connor CliftonMinnesotaD177411-34010361938242218.42%3136621.565052151000162010%000000.6000011100
Statistiques d’équipe totales ou en moyenne1466253462715-1187576512961327280484219829.02%9362320615.8353991526182385369532026301349.60%717100340.62416328293135
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)36171710.9113.3420874011613040131.00083421420
2Nico DawsIowa (MIN)32151420.9232.931866219111850001.00093238610
Statistiques d’équipe totales ou en moyenne68323130.9173.1439536120724890131766591030


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Alexander TrueIowa (MIN)C261997-07-17DENNo202 Lbs6 ft5NoYesN/ANoNo12024-09-15FalseFalsePro & Farm1,050,000$0$0$No---------------------------Lien
Ben HarpurIowa (MIN)D291995-01-12CANNo224 Lbs6 ft6NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Christian FischerIowa (MIN)LW/RW271997-04-15USANo214 Lbs6 ft2NoNoTrade2025-03-01NoNo22025-09-11FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Derek GrantIowa (MIN)C/LW/RW341990-04-20CANNo219 Lbs6 ft3NoNoFree AgentNoNo12025-10-08FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Devin SetoguchiIowa (MIN)LW/RW371987-01-01CANNo213 Lbs6 ft0NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$0$0$No---------------------------
Dylan SikuraIowa (MIN)C/LW/RW291995-06-01CANNo170 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm875,000$0$0$No---------------------------Lien
Dysin MayoIowa (MIN)D271996-08-17CANNo195 Lbs6 ft2NoNoN/ANoNo32024-09-15FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Emil Martinsen LillebergIowa (MIN)D232001-02-02NORYes192 Lbs6 ft2NoNoProspectNoNo22025-10-16FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Gabriel BourqueIowa (MIN)LW/RW331990-09-23CANNo200 Lbs5 ft10NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Jon GilliesIowa (MIN)G301994-01-22canNo225 Lbs6 ft6NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Jonathan DahlenIowa (MIN)LW/RW261997-12-20SWENo180 Lbs5 ft11NoNoN/ANoNo12024-09-15FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Kevin GravelIowa (MIN)D321992-03-06USANo214 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Kevin LabancIowa (MIN)RW281995-12-12USANo189 Lbs5 ft11NoNoN/ANoNo22025-09-11FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Lawrence PilutIowa (MIN)D281995-12-30SWENo186 Lbs5 ft11NoNoN/ANoNo22024-09-15FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Linus KarlssonIowa (MIN)C/RW241999-11-16SWEYes178 Lbs6 ft1NoNoProspectNoNo22025-10-16FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Matt Irwin (contrat à 1 volet)Iowa (MIN)D361987-11-29CANNo217 Lbs6 ft2NoNoTrade2025-07-25YesYes22024-09-28FalseFalsePro & Farm500,000$5,000$0$No500,000$--------500,000$--------No--------Lien
Mike SantorelliIowa (MIN)C/LW/RW381985-12-14CANNo197 Lbs6 ft0NoNoFree AgentNoNo12025-10-08FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Nico DawsIowa (MIN)G232000-12-22CANYes197 Lbs6 ft2NoNoN/ANoNo12024-09-15FalseFalsePro & Farm975,000$0$0$No---------------------------Lien NHL
Patrik BerglundIowa (MIN)C/LW/RW361988-06-02SWENo201 Lbs6 ft4NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Sam GagnerIowa (MIN)C/LW/RW351989-05-10CANNo210 Lbs5 ft11NoNoFree AgentNoNo12025-10-08FalseFalsePro & Farm500,000$0$0$No---------------------------Lien NHL
Tarmo ReunanenIowa (MIN)D261998-03-01FINYes186 Lbs6 ft0NoNoN/ANoNo22024-09-15FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Valeri NichushkinIowa (MIN)LW/RW291995-03-04RUSNo215 Lbs6 ft4NoNoTrade2024-10-09NoNo12025-09-11FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Wayne SimmondsIowa (MIN)LW/RW351988-08-26CANNo188 Lbs6 ft2NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.04201 Lbs6 ft21.39704,348$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valeri NichushkinAlexander TrueLinus Karlsson35122
2Jonathan DahlenDerek GrantKevin Labanc30122
3Wayne SimmondsPatrik BerglundGabriel Bourque25122
4Christian FischerDylan SikuraDevin Setoguchi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoTarmo Reunanen35122
2Kevin GravelEmil Martinsen Lilleberg30122
3Ben HarpurLawrence Pilut25122
4Dysin MayoTarmo Reunanen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valeri NichushkinAlexander TrueLinus Karlsson50122
2Gabriel BourqueDerek GrantDevin Setoguchi50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoTarmo Reunanen50122
2Kevin GravelBen Harpur50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexander TrueLinus Karlsson50122
2Derek GrantGabriel Bourque50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoTarmo Reunanen50122
2Kevin GravelBen Harpur50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexander True50122Dysin MayoTarmo Reunanen50122
2Derek Grant50122Kevin GravelEmil Martinsen Lilleberg50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexander TrueValeri Nichushkin50122
2Derek GrantGabriel Bourque50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoTarmo Reunanen50122
2Kevin GravelLawrence Pilut50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valeri NichushkinAlexander TrueLinus KarlssonDysin MayoTarmo Reunanen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valeri NichushkinAlexander TrueGabriel BourqueDysin MayoTarmo Reunanen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander True, Gabriel Bourque, Wayne SimmondsAlexander True, Gabriel BourqueAlexander True
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dysin Mayo, Ben Harpur, Lawrence PilutTarmo ReunanenDysin Mayo, Ben Harpur
Tirs de pénalité
Alexander True, Derek Grant, Patrik Berglund, Dylan Sikura, Gabriel Bourque
Gardien
#1 : Nico Daws, #2 : Jon Gillies
Lignes d’attaque personnalisées en prolongation
Alexander True, Derek Grant, Patrik Berglund, Dylan Sikura, Linus Karlsson, Gabriel Bourque, Wayne Simmonds, Christian Fischer, Devin Setoguchi, Jonathan Dahlen
Lignes de défense personnalisées en prolongation
Dysin Mayo, Tarmo Reunanen, Kevin Gravel, Lawrence Pilut, Ben Harpur


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
1Abbotsford6320010018180422000001011-12100010087170.583183149009275846206910939953281976251802528.00%22577.27%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
2Bakersfield420000201587210000109542100001063381.0001524390092758461439109399532812742296915320.00%10280.00%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
3Bridgeport2020000049-51010000024-21010000025-300.00047111092758465191093995328833428337114.29%13469.23%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
4Charlotte21100000810-2110000005321010000037-420.500813210092758466391093995328951917257342.86%6183.33%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
5Cleveland211000005411010000013-21100000041320.500510150092758465991093995328722029257114.29%100100.00%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
6Coachella Valley714011001524-93010110089-141300000715-850.3571528430092758462179109399532826882739921419.05%33390.91%11422306846.35%1558321448.48%662138647.76%1856123920056371091533
7Eagles413000001013-32020000038-52110000075220.250101626009275846102910939953281504946651317.69%22481.82%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
8Grand Rapids211000006511010000024-21100000041320.500610161092758468991093995328541512431400.00%6266.67%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
9Hartford3120000078-1211000006601010000012-120.33371320009275846100910939953281163129579111.11%11281.82%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
10Hershey2110000067-1110000003211010000035-220.500612180092758467991093995328682927329111.11%10280.00%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
11Laval2110000059-41010000016-51100000043120.500510150092758468791093995328651918279222.22%9366.67%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
12Lehigh Valley31200000417-131100000031220200000116-1520.33348120092758467991093995328148502350600.00%9277.78%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
13Manitoba514000001322-92110000077030300000615-920.2001325380092758461749109399532818543438221523.81%18761.11%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
14Ontario412010001315-22010100069-32110000076140.5001324371092758461569109399532815343336923730.43%13376.92%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
15Providence311001001617-121000100121201010000045-130.5001628440092758461059109399532814039245117529.41%12191.67%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
16Rochester2020000058-31010000045-11010000013-200.00051015009275846699109399532892241429500.00%70100.00%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
17Rockford41200100612-62010010046-22110000026-430.375612180092758461469109399532818553437215320.00%19668.42%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
18San Diego403000101116-52020000049-52010001077020.250111930009275846128910939953281784447611516.67%20385.00%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
19San Jose522000102221120100010880321000001413160.6002236580092758461799109399532821858467119421.05%221150.00%11422306846.35%1558321448.48%662138647.76%1856123920056371091533
20Springfield54100000332013321000001516-1220000001841480.8003361940092758462069109399532819158288118633.33%13469.23%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
21Syracuse2110000067-11010000017-61100000050520.500612180192758466891093995328762224208225.00%12375.00%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
22Texas41300000814-6211000005502020000039-620.25081422009275846128910939953281555042771119.09%20290.00%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
23Utica 220000001257110000007161100000054141.00012233500927584675910939953286313631100.00%3166.67%11422306846.35%1558321448.48%662138647.76%1856123920056371091533
24Wilkes-Barre/Scranton30300000916-71010000034-120200000612-600.0009172600927584610591093995328119433151900.00%13561.54%01422306846.35%1558321448.48%662138647.76%1856123920056371091533
Total82284402440257305-4841132102320129151-2241152300120128154-26720.439257463720319275846281491093995328319894276313003045317.43%3337677.18%31422306846.35%1558321448.48%662138647.76%1856123920056371091533
_Since Last GM Reset82284402440257305-4841132102320129151-2241152300120128154-26720.439257463720319275846281491093995328319894276313003045317.43%3337677.18%31422306846.35%1558321448.48%662138647.76%1856123920056371091533
_Vs Conference52172602340164183-1926713022207993-14261013001208590-5490.47116429045410927584617859109399532820075844818261963718.88%2125076.42%21422306846.35%1558321448.48%662138647.76%1856123920056371091533
_Vs Division22813001007081-111146001003442-81147000003639-3170.3867012819800927584675691093995328866253202377781620.51%922375.00%01422306846.35%1558321448.48%662138647.76%1856123920056371091533

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8272W125746372028143198942763130031
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8228442440257305
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113212320129151
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115230120128154
Derniers 10 matchs
WLOTWOTL SOWSOL
710200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3045317.43%3337677.18%3
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
910939953289275846
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
1422306846.35%1558321448.48%662138647.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1856123920056371091533


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
211Iowa1Coachella Valley8LSommaire du match
522Abbotsford4Iowa2LSommaire du match
627Iowa1Coachella Valley2LSommaire du match
1144Abbotsford3Iowa5WSommaire du match
1248Iowa2Manitoba5LSommaire du match
1566Coachella Valley3Iowa2LSommaire du match
1985Iowa5San Jose3WSommaire du match
2193Springfield2Iowa4WSommaire du match
23106Iowa2San Diego3LSommaire du match
25116Hartford5Iowa3LSommaire du match
28132San Jose4Iowa3LSommaire du match
32153Abbotsford3Iowa0LSommaire du match
34161Iowa4Abbotsford5LXSommaire du match
36176Bakersfield4Iowa5WXXSommaire du match
38183Iowa1Texas3LSommaire du match
40197Iowa2Rockford1WSommaire du match
41204Iowa2Coachella Valley4LSommaire du match
43214Providence5Iowa6WSommaire du match
47234Hartford1Iowa3WSommaire du match
50250Iowa1Rochester3LSommaire du match
52260Charlotte3Iowa5WSommaire du match
54266Iowa2Texas6LSommaire du match
56275Iowa2Bridgeport5LSommaire du match
58289Wilkes-Barre/Scranton4Iowa3LSommaire du match
61303Iowa1Lehigh Valley8LSommaire du match
63314Springfield7Iowa3LSommaire du match
66329Iowa3Hershey5LSommaire du match
68339Providence7Iowa6LXSommaire du match
70350Iowa5Utica 4WSommaire du match
72363Rochester5Iowa4LSommaire du match
74375Iowa0Lehigh Valley8LSommaire du match
76385Iowa5San Jose7LSommaire du match
77394Bakersfield1Iowa4WSommaire du match
80411Iowa1Eagles2LSommaire du match
82421Grand Rapids4Iowa2LSommaire du match
84434Iowa4Abbotsford2WSommaire du match
85444Ontario3Iowa4WXSommaire du match
87459Iowa4San Jose3WSommaire du match
89468Hershey2Iowa3WSommaire du match
92480Iowa4Cleveland1WSommaire du match
94492Lehigh Valley1Iowa3WSommaire du match
98510Iowa3Wilkes-Barre/Scranton4LSommaire du match
100518Iowa1Manitoba5LSommaire du match
101522Ontario6Iowa2LSommaire du match
104542Iowa1Hartford2LSommaire du match
105547San Jose4Iowa5WXXSommaire du match
107564Syracuse7Iowa1LSommaire du match
110583Iowa3Wilkes-Barre/Scranton8LSommaire du match
111591San Diego5Iowa2LSommaire du match
113600Iowa3Charlotte7LSommaire du match
115612Iowa0Rockford5LSommaire du match
116620Eagles5Iowa2LSommaire du match
119631Iowa4Providence5LSommaire du match
121642Iowa6Eagles3WSommaire du match
122648Cleveland3Iowa1LSommaire du match
125665Iowa4Laval3WSommaire du match
126674Bridgeport4Iowa2LSommaire du match
130693Iowa3Coachella Valley1WSommaire du match
132699San Diego4Iowa2LSommaire du match
134714Iowa4Ontario1WSommaire du match
135723Utica 1Iowa7WSommaire du match
138743Laval6Iowa1LSommaire du match
140751Iowa3Manitoba5LSommaire du match
142768Manitoba4Iowa2LSommaire du match
143773Iowa5San Diego4WXXSommaire du match
145781Iowa3Ontario5LSommaire du match
147791Iowa4Grand Rapids1WSommaire du match
149800Rockford2Iowa1LSommaire du match
152820Iowa2Bakersfield1WXXSommaire du match
153821Iowa5Syracuse0WSommaire du match
155833Coachella Valley2Iowa3WXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157849Eagles3Iowa1LSommaire du match
161872Iowa4Bakersfield2WSommaire du match
162874Coachella Valley4Iowa3LXSommaire du match
165894Texas3Iowa2LSommaire du match
167905Iowa9Springfield2WSommaire du match
171923Springfield7Iowa8WSommaire du match
174936Iowa9Springfield2WSommaire du match
177948Manitoba3Iowa5WSommaire du match
182972Abbotsford1Iowa3WSommaire du match
188994Rockford4Iowa3LXSommaire du match
1941023Texas2Iowa3WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance58,84429,253
Assistance PCT71.76%71.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2149 - 71.62% 125,773$5,156,709$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,568,834$ 1,570,000$ 1,570,000$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,051$ 1,568,820$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 18,308$ 0$




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

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

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

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

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