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Iowa
GP: 74 | W: 28 | L: 43 | OTL: 3 | P: 59
GF: 215 | GA: 281 | PP%: 15.64% | PK%: 77.24%
DG: Martin Mercier | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #894 vs Texas

Centre de jeu
Iowa
28-43-3, 59pts
4
2 Bakersfield
28-37-7, 63pts
Team Stats
OTL1SéquenceL3
13-20-2Fiche domicile12-19-4
15-23-1Fiche domicile16-18-3
6-3-1Derniers 10 matchs3-5-2
2.91Buts par match 2.90
3.80Buts contre par match 3.31
15.64%Pourcentage en avantage numérique17.41%
77.24%Pourcentage en désavantage numérique83.19%
Coachella Valley
40-21-10, 90pts
4
3 Iowa
28-43-3, 59pts
Team Stats
W2SéquenceOTL1
22-10-3Fiche domicile13-20-2
18-11-7Fiche domicile15-23-1
7-2-1Derniers 10 matchs6-3-1
3.20Buts par match 2.91
2.75Buts contre par match 3.80
14.90%Pourcentage en avantage numérique15.64%
81.78%Pourcentage en désavantage numérique77.24%
Texas
34-29-7, 75pts
Jour 165
Iowa
28-43-3, 59pts
Statistiques d’équipe
W1SéquenceOTL1
19-13-3Fiche domicile13-20-2
15-16-4Fiche visiteur15-23-1
5-4-110 derniers matchs6-3-1
3.10Buts par match 2.91
2.76Buts contre par match 2.91
15.99%Pourcentage en avantage numérique15.64%
82.68%Pourcentage en désavantage numérique77.24%
Iowa
28-43-3, 59pts
Jour 167
Springfield
36-28-6, 78pts
Statistiques d’équipe
OTL1SéquenceL7
13-20-2Fiche domicile17-15-3
15-23-1Fiche visiteur19-13-3
6-3-110 derniers matchs2-8-0
2.91Buts par match 3.30
3.80Buts contre par match 3.30
15.64%Pourcentage en avantage numérique20.29%
77.24%Pourcentage en désavantage numérique81.73%
Springfield
36-28-6, 78pts
Jour 171
Iowa
28-43-3, 59pts
Statistiques d’équipe
L7SéquenceOTL1
17-15-3Fiche domicile13-20-2
19-13-3Fiche visiteur15-23-1
2-8-010 derniers matchs6-3-1
3.30Buts par match 2.91
3.36Buts contre par match 2.91
20.29%Pourcentage en avantage numérique15.64%
81.73%Pourcentage en désavantage numérique77.24%
Meneurs d'équipe
Buts
Alexander True
23
Passes
Tarmo Reunanen
36
Points
Alexander True
48
Plus/Moins
Matt Irwin
12
Victoires
Jon Gillies
16
Nico DawsPourcentage d’arrêts
Nico Daws
0.924

Statistiques d’équipe
Buts pour
215
2.91 GFG
Tirs pour
2479
33.50 Avg
Pourcentage en avantage numérique
15.6%
43 GF
Début de zone offensive
40.0%
Buts contre
281
3.80 GAA
Tirs contre
2904
39.24 Avg
Pourcentage en désavantage numérique
77.2%%
71 GA
Début de la zone défensive
42.0%
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
Assistance2,145
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 BourqueXX96.00613693726682876553666667796771295000331500,000$
2Alexander TrueX98.0074357580977889707569686679494547500X02611,050,000$
3Wayne SimmondsXX100.00824071638376926568636861798173255000351500,000$
4Derek GrantXXX100.00663184598064816893676762826862295000341500,000$
5Christian FischerXX100.00762699788982986972687070795653585000272925,000$
6Devin Setoguchi (A)XX100.00693488547368886771656964789378195000371500,000$
7Patrik Berglund (C)XXX100.00673193557364866761666867788784195000361500,000$
8Kevin LabancX100.00763792848190987176717252825649555000282975,000$
9Valeri NichushkinXX100.007530967692859072736872718360525250002911,000,000$
10Dylan SikuraXXX100.00612898847671856864676764766257405000291875,000$
11Jonathan DahlenXX100.006435989078909373757272638049476750002611,100,000$
12Mike Santorelli (A)XXX100.00532797467368966488616564817880235000381500,000$
13Linus Karlsson (R)XX100.00713092667972996870666763704646585000242500,000$
14Dysin MayoX97.00723279798890835351525287775446525000273950,000$
15Tarmo Reunanen (R)X96.00743377899084884755454878764944555000262750,000$
16Kevin GravelX99.00702970649171895250495483766764375000321775,000$
17Matt IrwinX100.00603480527171965350495491556864285000362500,000$
18Ben HarpurX100.00744958729589894554455185735351515000291500,000$
19Lawrence PilutX100.00674089877793885156494681755445545000282825,000$
Rayé
1Sam GagnerXXX100.00632190628061856669656557786659255000351500,000$
2Darren RaddyshX100.00662693748571754250394379766059385000281750,000$
MOYENNE D’ÉQUIPE99.3369338671827789626560627077635941500
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)97.0065868078788785878679773737735000231975,000$
Rayé
MOYENNE D’ÉQUIPE98.506481788177868585847976494965500
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)C74232548-113201221172104414410.95%9119016.094812421610004743048.62%162900100.8102000035
2Tarmo ReunanenIowa (MIN)D749364528401027513246936.82%113159721.5939126919501131861050.00%600000.5600000114
3Gabriel BourqueIowa (MIN)LW/RW74162844-1526103873225761617.11%22142419.263111448189011112103037.29%11800000.6202011110
4Dysin MayoIowa (MIN)D57162743-174407569153499810.46%132135023.697714651810112168040%000100.6400000431
5Kevin LabancIowa (MIN)RW74102737-448107263191541315.24%4125216.9205524930002811146.15%9100000.5911101013
6Linus KarlssonIowa (MIN)C/RW74122537-262807779155531217.74%12106714.43471125139000003049.02%61200000.6911000203
7Derek GrantIowa (MIN)C/LW/RW69181836-101804398148407912.16%8104815.1916734152213101504158.16%122600000.6903000232
8Patrik BerglundIowa (MIN)C/LW/RW5415213631603867112247513.39%578514.54145954000051146.09%103700000.9212000041
9Dylan SikuraIowa (MIN)C/LW/RW74191534-46016811415912513.48%691912.4340410490003182143.70%68200010.7402000500
10Matt IrwinIowa (MIN)D6211193012360294279204913.92%9294615.261342472011194010%000000.6300000212
11Kevin GravelIowa (MIN)D7452126-8460744113250793.79%112154220.84347752200112226000%000000.3400000000
12Jonathan DahlenIowa (MIN)LW/RW67101323-251351482170451145.88%588313.1821313540003482143.89%18000100.5200100012
13Lawrence PilutIowa (MIN)D7441721-13351526474314229.30%7296213.0001102000013000%100000.4400102001
14Wayne SimmondsIowa (MIN)LW/RW6951520-35401363210125864.95%592613.4301112941015940052.05%7300000.4300000112
15Christian FischerIowa (MIN)LW/RW5371219-4260432811432696.14%1565112.2800016000051042.62%6100000.5800000120
16Devin SetoguchiIowa (MIN)LW/RW5481018-1326047208129569.88%570313.02235171030000400148.28%5800010.5100000112
17Sam GagnerIowa (MIN)C/LW/RW3831013-11802022369418.33%453013.951013640001550046.61%33900000.4900000000
18Mike SantorelliIowa (MIN)C/LW/RW644913-2206205616347.14%126029.4210116790001931053.01%16600000.4312000000
19Darren RaddyshIowa (MIN)D223912-660201722141413.64%5152423.850111075000066200%000000.4601000120
20Connor CliftonMinnesotaD177411-34010361938242218.42%3136621.565052151000162010%000000.6000011100
21Emil Martinsen LillebergMinnesotaD2011011-103204124266213.85%5447223.610337450000570016.67%600000.4700000110
22Ben HarpurIowa (MIN)D492810-1779157047407365.00%7085317.430339450001113000%100000.2300003001
23Valeri NichushkinIowa (MIN)LW/RW193580801319648394.69%322812.0513412220000180050.93%10800000.7000000110
Statistiques d’équipe totales ou en moyenne1306211384595-1857136511581182246974417098.55%8422083115.9543801235462156369501885241249.16%639400320.57416328242629
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)35161710.9113.3420464011412820131.00083413420
2Nico DawsIowa (MIN)24101310.9242.91142221699130001.00092438510
Statistiques d’équipe totales ou en moyenne59263020.9173.173469611832195013175851930


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$177,692$0$0$No---------------------------Lien
Ben HarpurIowa (MIN)D291995-01-12CANNo224 Lbs6 ft6NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Christian FischerIowa (MIN)LW/RW271997-04-15USANo214 Lbs6 ft2NoNoTrade2025-03-01NoNo22025-09-11FalseFalsePro & Farm925,000$156,538$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Darren RaddyshIowa (MIN)D281996-02-28CANNo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$126,923$0$0$No---------------------------Lien / Lien NHL
Derek GrantIowa (MIN)C/LW/RW341990-04-20CANNo219 Lbs6 ft3NoNoFree AgentNoNo12025-10-08FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Devin SetoguchiIowa (MIN)LW/RW371987-01-01CANNo213 Lbs6 ft0NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------
Dylan SikuraIowa (MIN)C/LW/RW291995-06-01CANNo170 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm875,000$148,077$0$0$No---------------------------Lien
Dysin MayoIowa (MIN)D271996-08-17CANNo195 Lbs6 ft2NoNoN/ANoNo32024-09-15FalseFalsePro & Farm950,000$160,769$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Gabriel BourqueIowa (MIN)LW/RW331990-09-23CANNo200 Lbs5 ft10NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Jon GilliesIowa (MIN)G301994-01-22canNo225 Lbs6 ft6NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Jonathan DahlenIowa (MIN)LW/RW261997-12-20SWENo180 Lbs5 ft11NoNoN/ANoNo12024-09-15FalseFalsePro & Farm1,100,000$186,154$0$0$No---------------------------Lien
Kevin GravelIowa (MIN)D321992-03-06USANo214 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm775,000$131,154$0$0$No---------------------------Lien
Kevin LabancIowa (MIN)RW281995-12-12USANo189 Lbs5 ft11NoNoN/ANoNo22025-09-11FalseFalsePro & Farm975,000$165,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Lawrence PilutIowa (MIN)D281995-12-30SWENo186 Lbs5 ft11NoNoN/ANoNo22024-09-15FalseFalsePro & Farm825,000$139,615$0$0$No825,000$--------825,000$--------No--------Lien
Linus KarlssonIowa (MIN)C/RW241999-11-16SWEYes178 Lbs6 ft1NoNoProspectNoNo22025-10-16FalseFalsePro & Farm500,000$84,615$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$95,000$5,000$950$No500,000$--------500,000$--------No--------Lien
Mike SantorelliIowa (MIN)C/LW/RW381985-12-14CANNo197 Lbs6 ft0NoNoFree AgentNoNo12025-10-08FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Nico DawsIowa (MIN)G232000-12-22CANYes197 Lbs6 ft2NoNoN/ANoNo12024-09-15FalseFalsePro & Farm975,000$165,000$0$0$No---------------------------Lien NHL
Patrik BerglundIowa (MIN)C/LW/RW361988-06-02SWENo201 Lbs6 ft4NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Sam GagnerIowa (MIN)C/LW/RW351989-05-10CANNo210 Lbs5 ft11NoNoFree AgentNoNo12025-10-08FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien NHL
Tarmo ReunanenIowa (MIN)D261998-03-01FINYes186 Lbs6 ft0NoNoN/ANoNo22024-09-15FalseFalsePro & Farm750,000$126,923$0$0$No750,000$--------750,000$--------No--------Lien
Valeri NichushkinIowa (MIN)LW/RW291995-03-04RUSNo215 Lbs6 ft4NoNoTrade2024-10-09NoNo12025-09-11FalseFalsePro & Farm1,000,000$169,231$0$0$No---------------------------Lien / Lien NHL
Wayne SimmondsIowa (MIN)LW/RW351988-08-26CANNo188 Lbs6 ft2NoNoFree AgentNoNo12025-09-27FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.26201 Lbs6 ft21.35715,217$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander 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 GravelMatt Irwin30122
3Ben HarpurLawrence Pilut25122
4Dysin MayoTarmo Reunanen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander TrueLinus Karlsson50122
2Gabriel BourqueDerek GrantDevin Setoguchi50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoTarmo Reunanen50122
2Kevin GravelMatt Irwin50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexander True50122
2Derek GrantGabriel Bourque50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoTarmo Reunanen50122
2Kevin GravelMatt Irwin50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexander True50122Dysin MayoTarmo Reunanen50122
2Derek Grant50122Kevin GravelMatt Irwin50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexander True50122
2Derek GrantGabriel Bourque50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoTarmo Reunanen50122
2Kevin GravelMatt Irwin50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander TrueLinus KarlssonDysin MayoTarmo Reunanen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander TrueGabriel BourqueDysin MayoTarmo Reunanen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Gabriel Bourque, Wayne Simmonds, Gabriel Bourque
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Irwin, Ben Harpur, Lawrence PilutMatt IrwinMatt Irwin, Ben Harpur
Tirs de pénalité
Alexander True, Derek Grant, Patrik Berglund, Dylan Sikura,
Gardien
#1 : , #2 : Nico Daws
Lignes d’attaque personnalisées en prolongation
Alexander True, Derek Grant, Patrik Berglund, Dylan Sikura, , Gabriel Bourque, Wayne Simmonds, Christian Fischer, Devin Setoguchi, Jonathan Dahlen
Lignes de défense personnalisées en prolongation
Dysin Mayo, Tarmo Reunanen, Kevin Gravel, Matt Irwin, 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
1Abbotsford522001001517-231200000710-32100010087150.500152540007468676161790838841261735647682229.09%20575.00%01261275845.72%1383289847.72%584124247.02%165210961830577985478
2Bakersfield420000201587210000109542100001063381.0001524390074686761437908388412612742296915320.00%10280.00%01261275845.72%1383289847.72%584124247.02%165210961830577985478
3Bridgeport2020000049-51010000024-21010000025-300.00047111074686765179083884126833428337114.29%13469.23%01261275845.72%1383289847.72%584124247.02%165210961830577985478
4Charlotte21100000810-2110000005321010000037-420.500813210074686766379083884126951917257342.86%6183.33%01261275845.72%1383289847.72%584124247.02%165210961830577985478
5Cleveland211000005411010000013-21100000041320.500510150074686765979083884126722029257114.29%100100.00%01261275845.72%1383289847.72%584124247.02%165210961830577985478
6Coachella Valley714011001524-93010110089-141300000715-850.3571528430074686762177908388412626882739921419.05%33390.91%11261275845.72%1383289847.72%584124247.02%165210961830577985478
7Eagles413000001013-32020000038-52110000075220.250101626007468676102790838841261504946651317.69%22481.82%01261275845.72%1383289847.72%584124247.02%165210961830577985478
8Grand Rapids211000006511010000024-21100000041320.500610161074686768979083884126541512431400.00%6266.67%01261275845.72%1383289847.72%584124247.02%165210961830577985478
9Hartford3120000078-1211000006601010000012-120.33371320007468676100790838841261163129579111.11%11281.82%01261275845.72%1383289847.72%584124247.02%165210961830577985478
10Hershey2110000067-1110000003211010000035-220.500612180074686767979083884126682927329111.11%10280.00%01261275845.72%1383289847.72%584124247.02%165210961830577985478
11Laval2110000059-41010000016-51100000043120.500510150074686768779083884126651918279222.22%9366.67%01261275845.72%1383289847.72%584124247.02%165210961830577985478
12Lehigh Valley31200000417-131100000031220200000116-1520.33348120074686767979083884126148502350600.00%9277.78%01261275845.72%1383289847.72%584124247.02%165210961830577985478
13Manitoba40400000819-111010000024-230300000615-900.000816240074686761307908388412615138376315320.00%15660.00%01261275845.72%1383289847.72%584124247.02%165210961830577985478
14Ontario412010001315-22010100069-32110000076140.5001324371074686761567908388412615343336923730.43%13376.92%01261275845.72%1383289847.72%584124247.02%165210961830577985478
15Providence311001001617-121000100121201010000045-130.5001628440074686761057908388412614039245117529.41%12191.67%01261275845.72%1383289847.72%584124247.02%165210961830577985478
16Rochester2020000058-31010000045-11010000013-200.00051015007468676697908388412692241429500.00%70100.00%01261275845.72%1383289847.72%584124247.02%165210961830577985478
17Rockford3120000038-51010000012-12110000026-420.333369007468676106790838841261403537551218.33%16475.00%01261275845.72%1383289847.72%584124247.02%165210961830577985478
18San Diego403000101116-52020000049-52010001077020.250111930007468676128790838841261784447611516.67%20385.00%01261275845.72%1383289847.72%584124247.02%165210961830577985478
19San Jose522000102221120100010880321000001413160.6002236580074686761797908388412621858467119421.05%221150.00%11261275845.72%1383289847.72%584124247.02%165210961830577985478
20Springfield2110000079-22110000079-20000000000020.500713200074686766179083884126701914317114.29%7271.43%01261275845.72%1383289847.72%584124247.02%165210961830577985478
21Syracuse2110000067-11010000017-61100000050520.500612180174686766879083884126762224208225.00%12375.00%01261275845.72%1383289847.72%584124247.02%165210961830577985478
22Texas2020000039-6000000000002020000039-600.000358007468676677908388412685242837500.00%13284.62%01261275845.72%1383289847.72%584124247.02%165210961830577985478
23Utica 220000001257110000007161100000054141.00012233500746867675790838841266313631100.00%3166.67%11261275845.72%1383289847.72%584124247.02%165210961830577985478
24Wilkes-Barre/Scranton30300000916-71010000034-120200000612-600.0009172600746867610579083884126119433151900.00%13561.54%01261275845.72%1383289847.72%584124247.02%165210961830577985478
Total74224302340215281-663592002220105131-2639132300120110150-40590.399215385600317468676247979083884126290484871911622754315.64%3127177.24%31261275845.72%1383289847.72%584124247.02%165210961830577985478
_Since Last GM Reset74224302340215281-663592002220105131-2639132300120110150-40590.399215385600317468676247979083884126290484871911622754315.64%3127177.24%31261275845.72%1383289847.72%584124247.02%165210961830577985478
_Vs Conference44112502240122159-3720312021205573-1824813001206786-19360.40912221233410746867614507908388412617134904376881672716.17%1914576.44%21261275845.72%1383289847.72%584124247.02%165210961830577985478
_Vs Division15312000003158-27615000001323-10927000001835-1760.2003156870074686764667908388412659616516225152611.54%731875.34%01261275845.72%1383289847.72%584124247.02%165210961830577985478

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7459OTL121538560024792904848719116231
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7422432340215281
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
359202220105131
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3913230120110150
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2754315.64%3127177.24%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
790838841267468676
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
1261275845.72%1383289847.72%584124247.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
165210961830577985478


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
165894Texas-Iowa-
167905Iowa-Springfield-
171923Springfield-Iowa-
174936Iowa-Springfield-
177948Manitoba-Iowa-
182972Abbotsford-Iowa-
188994Rockford-Iowa-
1941023Texas-Iowa-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance50,19824,893
Assistance PCT71.71%71.12%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2145 - 71.52% 125,615$4,396,524$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,957,758$ 1,595,000$ 1,595,000$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,179$ 1,296,207$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
753,690$ 33 18,436$ 608,388$




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