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Iowa Chops
GP: 9 | W: 5 | L: 4
GF: 65 | GA: 33 | PP%: 37.50% | PK%: 63.89%
DG: Mathieu Landreville | Morale : 15 | Moyenne d’équipe : 57

Centre de jeu
Iowa Chops
5-4-0, 10pts
1
2 Quad City Flames
9-5-0, 18pts
Team Stats
L2SéquenceOTL2
2-3-0Fiche domicile3-3-0
3-1-0Fiche domicile6-2-0
5-3-1Derniers 10 matchs5-3-2
7.22Buts par match 5.71
3.67Buts contre par match 3.36
37.50%Pourcentage en avantage numérique39.47%
63.89%Pourcentage en désavantage numérique72.92%
Quad City Flames
9-5-0, 18pts
4
1 Iowa Chops
5-4-0, 10pts
Team Stats
OTL2SéquenceL2
3-3-0Fiche domicile2-3-0
6-2-0Fiche domicile3-1-0
5-3-2Derniers 10 matchs5-3-1
5.71Buts par match 7.22
3.36Buts contre par match 3.67
39.47%Pourcentage en avantage numérique37.50%
72.92%Pourcentage en désavantage numérique63.89%
Meneurs d'équipe
Buts
Kasperi Kapanen
12
Passes
Nicholas Robertson
14
Points
Kasperi Kapanen
24
Plus/Moins
Ian Moore
14
Victoires
Jacob Ingham
5
Pourcentage d’arrêts
Jacob Ingham
0.884

Statistiques d’équipe
Buts pour
65
7.22 GFG
Tirs pour
361
40.11 Avg
Pourcentage en avantage numérique
37.5%
12 GF
Début de zone offensive
32.9%
Buts contre
33
3.67 GAA
Tirs contre
257
28.56 Avg
Pourcentage en désavantage numérique
63.9%%
13 GA
Début de la zone défensive
33.3%
Informations de l'équipe

Directeur généralMathieu Landreville
DivisionPACIFIQUE
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,996
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure22
Limite contact 55 / 59
Espoirs39


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
1Nicholas Robertson0X100.0069359574657885716568726673646768506302221,825,000$
2Michael Carcone0X100.006842827466788470576371627269713650620273775,000$
3Kasperi Kapanen0X100.0071359373768286675765626866737165506202731,300,000$
4Will Smith (R)0X100.005534927371867375657068627661639150620191775,000$
5Jonatan Berggren0X100.0063398470738986727168696370656774506202321,825,000$
6Anthony Richard0X100.006538837068878367696566636769715050610273775,000$
7Elmer Soderblom0X100.008552896599848363596461625864654850610221878,000$
8Oskar Back0X100.007339956687788563726561696265676350610242825,000$
9Axel Jonsson-Fjallby0X100.007037936475798562586059616367695250590261775,000$
10Bradly Nadeau (R)0X100.006137836768847266626764636861638050590181775,000$
11Nikolai Kovalenko (R)0X100.006933916766797066546561626466684750590241775,000$
12Tristan Broz (R)0X100.006639796275837061676062616463656950580211775,000$
13Nathan Gaucher0X100.0076506958857384556256575958626482505602021,129,000$
14Victor Mancini (R)0X100.007740876689827263306558605063654950590211775,000$
15Ian Moore (R)0X100.007139946384806162306458605163656650580221775,000$
16Nikolai Knyzhov0X100.0079427958886774553057566147676937505702611,250,000$
17Luke Prokop (R)0X100.008851925497656653305551594563656750560211775,000$
Rayé
1Dylan Peterson (R)0X100.007644635985826956655758555963656250560221775,000$
2Matyas Sapovaliv (R)0X100.007839915587737454615356585561637350550201775,000$
3Alexander Khovanov (R)0X100.006339745872736457625653545962646650540242843,000$
4Coulson Pitre (R)0X100.006538905574717254585653575461636750540191775,000$
5Jayden Grubbe0X100.007541765484758352615553575462646750540212925,000$
6Trevor Kuntar0X100.006643625775858356615554585964666250540222925,000$
7Max McCue (R)0X100.006549505574656853605453565262644950520211775,000$
8Markus Niemelainen0X100.008035865990747656305453584766686450560252775,000$
9Madison Bowey0X100.007243685581647054305653574670725650550291900,000$
10Jakub Dvorak (R)0X100.008142815590626854305250574560627250540181775,000$
11Joni Jurmo (R)0X100.007238935381616252305150544563656450530221775,000$
12Layton Ahac0X100.006939865478657953305251554563656350530231925,000$
13Ole Bjorgvik-Holm0X100.006941705578646854305253564563655750530211896,000$
MOYENNE D’ÉQUIPE100.00714082627976756052595860576466625057
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
1Hunter Jones0100.00676970856665676665676662676950510231787,000$
2Jacob Ingham0100.00667369846564666564666565734750500231775,000$
3Damian Clara (R)0100.00637067956261636261636260636950490191775,000$
Rayé
MOYENNE D’ÉQUIPE100.0065716988646365646365646268625050
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Kasperi KapanenIowa Chops (ANA)RW91212248208956143821.43%518020.05437722000012060.00%5103022.6600000130
2Nicholas RobertsonIowa Chops (ANA)LW99142370091255203316.36%620622.962574220002241027.78%18149022.2300000110
3Will SmithIowa Chops (ANA)C9812201200682931927.59%013715.30156314000021046.29%17562012.9000000111
4Michael CarconeIowa Chops (ANA)LW999181260592381839.13%313615.16325314000000140.00%1091012.6400000004
5Anthony RichardIowa Chops (ANA)C9781511003333151921.21%210812.02000000003120045.45%3342012.7700000110
6Jonatan BerggrenIowa Chops (ANA)RW959141220442261822.73%413515.09134114000000062.50%823002.0600000100
7Elmer SoderblomIowa Chops (ANA)LW957121200463181716.13%19310.410000000000000%082002.5600000000
8Ian MooreIowa Chops (ANA)D9077140041019250%216718.560000200000000%033000.8400000000
9Oskar BackIowa Chops (ANA)C9134200311185135.56%3728.1100000000001045.83%2410001.1000000000
10Axel Jonsson-FjallbyIowa Chops (ANA)LW9000100101200%0182.050000600005000%01000000000000
11Tristan BrozIowa Chops (ANA)C9000000000000%070.820000500000000%00000000000000
Statistiques d’équipe totales ou en moyenne9956811379110047722878318019.51%26126412.78111829181030005455145.42%2735825072.1700000565
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
1Jacob InghamIowa Chops (ANA)95310.8843.305270029250139200099000
Statistiques d’équipe totales ou en moyenne95310.8843.30527002925013920099000


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexander KhovanovIowa Chops (ANA)C242000-04-12RUSYes198 Lbs5 ft11NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm843,000$0$0$No843,000$--------843,000$--------No--------
Anthony RichardIowa Chops (ANA)C271996-12-20CANNo185 Lbs5 ft10NoNoFree AgentNoNo32025-10-14FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Axel Jonsson-FjallbyIowa Chops (ANA)LW261998-02-10SWENo189 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Bradly NadeauIowa Chops (ANA)LW182005-05-05CANYes172 Lbs5 ft11NoNoDraftNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Coulson PitreIowa Chops (ANA)RW192004-12-13CANYes185 Lbs6 ft1NoNoDraftNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Damian ClaraIowa Chops (ANA)G192005-01-13ITAYes214 Lbs6 ft6NoNoDraftNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Dylan PetersonIowa Chops (ANA)C222002-01-08USAYes192 Lbs6 ft4NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Elmer SoderblomIowa Chops (ANA)LW222001-07-05SWENo246 Lbs6 ft8NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm878,000$0$0$No---------------------------Lien
Hunter JonesIowa Chops (ANA)G232000-09-21CANNo194 Lbs6 ft4NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm787,000$0$0$No---------------------------Lien
Ian MooreIowa Chops (ANA)D222002-01-04USAYes203 Lbs6 ft3NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Jacob InghamIowa Chops (ANA)G232000-06-10CANNo186 Lbs6 ft4NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Jakub DvorakIowa Chops (ANA)D182005-05-25CZEYes203 Lbs6 ft5NoNoTrade2025-09-26NoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Jayden GrubbeIowa Chops (ANA)C212003-01-12CANNo201 Lbs6 ft3NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Jonatan BerggrenIowa Chops (ANA)RW232000-07-16SWENo197 Lbs5 ft11NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm1,825,000$0$0$No1,825,000$--------1,825,000$--------No--------Lien
Joni JurmoIowa Chops (ANA)D222002-04-19FINYes190 Lbs6 ft3NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Kasperi KapanenIowa Chops (ANA)RW271996-07-23FINNo194 Lbs6 ft1NoNoFree AgentNoNo32025-10-14FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Layton AhacIowa Chops (ANA)D232001-02-22CANNo188 Lbs6 ft2NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Luke ProkopIowa Chops (ANA)D212002-06-05CANYes224 Lbs6 ft6NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Madison BoweyIowa Chops (ANA)D291995-04-22CANNo202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Markus NiemelainenIowa Chops (ANA)D251998-06-08FINNo190 Lbs6 ft6NoNoFree AgentNoNo22024-09-07FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Matyas SapovalivIowa Chops (ANA)C202004-02-12CZEYes203 Lbs6 ft4NoNoTrade2025-09-29NoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Max McCueIowa Chops (ANA)C212003-02-10CANYes182 Lbs6 ft1NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Michael CarconeIowa Chops (ANA)LW271996-05-19CANNo182 Lbs5 ft9NoNoFree AgentNoNo32025-10-14FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Nathan GaucherIowa Chops (ANA)C202003-11-06CANNo207 Lbs6 ft3NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm1,129,000$0$0$No1,129,000$--------1,129,000$--------No--------Lien
Nicholas RobertsonIowa Chops (ANA)LW222001-09-11USANo178 Lbs5 ft9NoNoFree Agent2025-09-21NoNo22025-10-14FalseFalsePro & Farm1,825,000$0$0$No1,825,000$--------1,825,000$--------No--------Lien
Nikolai KnyzhovIowa Chops (ANA)D261998-03-20RUSNo222 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien
Nikolai KovalenkoIowa Chops (ANA)RW241999-10-17USAYes180 Lbs5 ft10NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Ole Bjorgvik-HolmIowa Chops (ANA)D212002-05-23NORNo190 Lbs6 ft2NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm896,000$0$0$No---------------------------Lien
Oskar BackIowa Chops (ANA)C242000-03-12SWENo202 Lbs6 ft4NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Trevor KuntarIowa Chops (ANA)C222001-06-20USANo205 Lbs6 ft0NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Tristan BrozIowa Chops (ANA)C212002-10-10USAYes205 Lbs6 ft0NoNoTrade2025-09-26NoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Victor ManciniIowa Chops (ANA)D212002-05-26USAYes229 Lbs6 ft3NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Will SmithIowa Chops (ANA)C192005-03-17USAYes181 Lbs6 ft0NoNoDraftNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3322.48198 Lbs6 ft21.42907,818$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonKasperi Kapanen40122
2Michael CarconeWill SmithJonatan Berggren30122
3Elmer SoderblomAnthony Richard20122
4Oskar Back10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Ian Moore30122
320122
4Ian Moore10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonKasperi Kapanen60122
2Michael CarconeWill SmithJonatan Berggren40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ian Moore40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nicholas Robertson60122
2Kasperi KapanenWill Smith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ian Moore40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Nicholas Robertson40122Ian Moore40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nicholas Robertson60122
2Kasperi KapanenWill Smith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ian Moore40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonKasperi Kapanen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonKasperi Kapanen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Axel Jonsson-Fjallby, Tristan Broz, Anthony RichardAxel Jonsson-Fjallby, Tristan BrozAnthony Richard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Ian Moore, Ian Moore
Tirs de pénalité
, Nicholas Robertson, Kasperi Kapanen, Will Smith, Michael Carcone
Gardien
#1 : , #2 : Jacob Ingham
Lignes d’attaque personnalisées en prolongation
, Nicholas Robertson, Kasperi Kapanen, Will Smith, Michael Carcone, Jonatan Berggren, Anthony Richard, Elmer Soderblom, Oskar Back,
Lignes de défense personnalisées en prolongation
, , Ian Moore, ,


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
1Quad City Flames514000001524-9303000001019-92110000055020.200152439003123110196110136111416754484616425.00%24962.50%04817327.75%5317530.29%6117834.27%1961321919015862
2Rockford IceHogs44000000509412200000028523220000002241881.000508913900312311016511013611149018244016850.00%12466.67%04817327.75%5317530.29%6117834.27%1961321919015862
Total95400000653332523000003824144310000027918100.556651131780031231103611101361114257727286321237.50%361363.89%04817327.75%5317530.29%6117834.27%1961321919015862
_Since Last GM Reset95400000653332523000003824144310000027918100.556651131780031231103611101361114257727286321237.50%361363.89%04817327.75%5317530.29%6117834.27%1961321919015862
_Vs Conference95400000653332523000003824144310000027918100.556651131780031231103611101361114257727286321237.50%361363.89%04817327.75%5317530.29%6117834.27%1961321919015862

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
910L26511317836125772728600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
95400006533
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300003824
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4310000279
Derniers 10 matchs
WLOTWOTL SOWSOL
530100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
321237.50%361363.89%0
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
11013611143123110
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
4817327.75%5317530.29%6117834.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1961321919015862


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
26Rockford IceHogs3Iowa Chops16WSommaire du match
414Rockford IceHogs2Iowa Chops12WSommaire du match
622Iowa Chops10Rockford IceHogs2WSommaire du match
830Iowa Chops12Rockford IceHogs2WSommaire du match
1660Quad City Flames6Iowa Chops5LXSommaire du match
1864Quad City Flames9Iowa Chops4LSommaire du match
2068Iowa Chops4Quad City Flames3WSommaire du match
2272Iowa Chops1Quad City Flames2LSommaire du match
2476Quad City Flames4Iowa Chops1LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4022
Assistance10,0004,982
Assistance PCT100.00%99.64%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 2996 - 99.88% 103,959$519,796$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,995,800$ 2,995,800$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Iowa Chops 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 Chops 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 Chops 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 Chops 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 Chops 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