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Indianapolis Ice (CHI)
GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Michael Harvey | Morale : 50 | Moyenne d’équipe : 59
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMichael Harvey
EntraîneurDarryl Sutter
DivisionNorris
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro16
Équipe Mineure20
Limite contact 36 / 50
Espoirs2


Historique d'équipe

Saison actuelle0-0-0 ( 0PTS)
Historique28-36-14 (0.346%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Tim Sweeney0X100.00472884696384737772757463693839050620231108,400$
2Mike Hudson0X100.00655077707075586676686869654750050600231165,000$
3Mike Peluso0X100.00878243618274646261616371623663050590251130,000$
4Warren Rychel0X100.0087774161767767656263646564385505059023195,000$
5Mike Stapleton0X100.00584282685978696079615870604645050580242150,000$
6Steve Dubinsky0X100.0072707365708170617161606560404205058020265,000$
7Stu Grimson0X100.008377566085767152565353695440690505702500$
8Mike McNeil0X100.00513083706775665964585865583737050560241112,736$
9Jeff Serowik0X100.00594269676876657135686967663838050590231105,000$
10Milan Tichy0X100.00664765667673567035716465603737050580212130,000$
11Cam Russell0X100.00817655677872654630454568473849050570211115,000$
12Karl Dykhuis0X100.0064617464758283533054506554363805057018245,000$
13Jeff Bloemberg0X100.00453084627582706435655663583737050560221120,000$
14Adam Bennett (R)0X100.007365636279757053405256635736360505600245,000$
Rayé
MOYENNE D’ÉQUIPE100.0067566865737768615361606660394505058
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
1Jimmy Waite100.0076737474757475797776734038050680211110,000$
2Jacques Cloutier100.0078655755647474807970747875050680303195,000$
Rayé
MOYENNE D’ÉQUIPE100.007769666570747580787374595705068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darryl Sutter78797077848588CAN332150,000$


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
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


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam BennettIndianapolis Ice (CHI) (CHI)D01997-08-21 02:24:12Yes212 Lbs6 ft5NoNoNo2Pro & Farm45,000$45,000$45,000$45,000$0$0$No45,000$Lien
Cam RussellIndianapolis Ice (CHI) (CHI)D211969-07-26 15:57:47No202 Lbs6 ft4NoNoNo1Pro & Farm115,000$115,000$115,000$115,000$0$0$No
Jacques CloutierIndianapolis Ice (CHI) (CHI)G301960-07-27 09:57:47No161 Lbs5 ft7NoNoNo3Pro & Farm195,000$195,000$195,000$195,000$0$0$No195,000$195,000$
Jeff BloembergIndianapolis Ice (CHI) (CHI)D221968-07-27 09:57:47No209 Lbs6 ft2NoNoNo1Pro & Farm120,000$120,000$120,000$120,000$0$0$No
Jeff SerowikIndianapolis Ice (CHI) (CHI)D231967-07-27 03:57:47No192 Lbs6 ft1NoNoNo1Pro & Farm105,000$105,000$105,000$105,000$0$0$No
Jimmy WaiteIndianapolis Ice (CHI) (CHI)G211969-07-26 15:57:47No184 Lbs6 ft1NoNoNo1Pro & Farm110,000$110,000$110,000$110,000$0$0$No
Karl DykhuisIndianapolis Ice (CHI) (CHI)D181972-07-08 02:26:57No217 Lbs6 ft5NoNoNo2Pro & Farm45,000$45,000$45,000$45,000$0$0$No45,000$Lien
Mike HudsonIndianapolis Ice (CHI) (CHI)C231967-07-27 03:57:47No189 Lbs6 ft1NoNoNo1Pro & Farm165,000$165,000$165,000$165,000$0$0$No
Mike McNeilIndianapolis Ice (CHI) (CHI)LW241966-07-26 21:57:47No186 Lbs6 ft1NoNoNo1Pro & Farm112,736$112,736$112,736$112,736$0$0$No
Mike PelusoIndianapolis Ice (CHI) (CHI)LW251965-07-26 15:57:47No226 Lbs6 ft4NoNoNo1Pro & Farm130,000$130,000$130,000$130,000$0$0$No
Mike StapletonIndianapolis Ice (CHI) (CHI)C241966-07-26 21:57:47No184 Lbs5 ft10NoNoNo2Pro & Farm150,000$150,000$150,000$150,000$0$0$No150,000$
Milan TichyIndianapolis Ice (CHI) (CHI)D211969-07-26 15:57:47No203 Lbs6 ft3NoNoNo2Pro & Farm130,000$130,000$130,000$130,000$0$0$No130,000$
Steve DubinskyIndianapolis Ice (CHI) (CHI)C201970-07-09 02:29:53No195 Lbs6 ft0NoNoNo2Pro & Farm65,000$65,000$65,000$65,000$0$0$No65,000$Lien
Stu GrimsonIndianapolis Ice (CHI) (CHI)LW251965-07-26 15:57:47No232 Lbs6 ft5NoNoNo0Pro & Farm0$0$No
Tim SweeneyIndianapolis Ice (CHI) (CHI)LW231967-07-27 03:57:47No184 Lbs5 ft11NoNoNo1Pro & Farm108,400$108,400$108,400$108,400$0$0$No
Warren RychelIndianapolis Ice (CHI) (CHI)LW231967-07-27 03:57:47No208 Lbs6 ft0NoNoNo1Pro & Farm95,000$95,000$95,000$95,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1621.44199 Lbs6 ft21.38105,696$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim SweeneyMike HudsonMike McNeil40122
2Warren RychelMike Stapleton30122
3Steve Dubinsky20122
4Mike McNeilTim SweeneyWarren Rychel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff Serowik40122
2Milan TichyJeff Bloemberg30122
3Cam RussellAdam Bennett20122
4Jeff Serowik10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tim SweeneyMike HudsonMike McNeil60122
2Warren RychelMike Stapleton40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff Serowik60122
2Milan TichyJeff Bloemberg40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tim SweeneyWarren Rychel60122
2Mike Hudson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff Serowik60122
2Milan TichyJeff Bloemberg40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tim Sweeney60122Jeff Serowik60122
2Warren Rychel40122Milan TichyJeff Bloemberg40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tim SweeneyWarren Rychel60122
2Mike Hudson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff Serowik60122
2Milan TichyJeff Bloemberg40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tim SweeneyMike HudsonMike McNeilJeff Serowik
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tim SweeneyMike HudsonMike McNeilJeff Serowik
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Steve Dubinsky, Mike Stapleton, Steve Dubinsky, Mike Stapleton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam Russell, Adam Bennett, Milan TichyCam RussellAdam Bennett, Milan Tichy
Tirs de pénalité
Tim Sweeney, Warren Rychel, Mike Hudson, , Mike Stapleton
Gardien
#1 : Jacques Cloutier, #2 : Jimmy Waite
Lignes d’attaque personnalisées en prolongation
Tim Sweeney, Warren Rychel, Mike Hudson, , Mike Stapleton, Steve Dubinsky, Steve Dubinsky, Mike McNeil, , ,
Lignes de défense personnalisées en prolongation
, Jeff Serowik, Milan Tichy, Jeff Bloemberg, Cam Russell


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL TGFGA
00000000
Matchs locaux
GPWLOTWOTL TGFGA
00000000
Matchs extérieurs
GPWLOTWOTL TGFGA
00000000
Derniers 10 matchs
WLOTWOTL T
00000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 845,568$ 845,568$ 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$




Indianapolis Ice (CHI) Leaders statistiques (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
1Tim Sweeney69304272610275324612.20%24138120.0379162900065047.9101.0400
2Mike Hudson39191837318503112814.84%3269717.9056111700016357.2601.0600
3Mike McNeil80142236-3456732625.34%38139717.4764105000003144.8300.5200
4Milan Tichy68191534-10261025117211.05%64120917.782241000014250.0000.5600
5Jeff Serowik42161228726425414111.35%54107225.53426200005310.00%00.5200

Indianapolis Ice (CHI) 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
1Jacques Cloutier562619110.9221.73340826981258765200.00%0
2Jimmy Waite61410.9052.47365001515893000.00%0

Indianapolis Ice (CHI) Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
1802536143200128161-334013158220071701401221610005791-3470128215343083942443177848264163421175366814039981982713.64%1291786.82%0555109950.50%521106448.97%47991652.29%2034150118035271047518
Total Saison régulière802536143200128161-334013158220071701401221610005791-3470128215343083942443177848264163421175366814039981982713.64%1291786.82%0555109950.50%521106448.97%47991652.29%2034150118035271047518
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Indianapolis Ice (CHI) Leaders statistiques (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

Indianapolis Ice (CHI) 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