Connexion

Indianapolis Checkers
GP: 71 | W: 23 | L: 43 | OTL: 5 | P: 51
GF: 201 | GA: 290 | PP%: 19.06% | PK%: 73.08%
DG: Christophe Beauchamp | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #777 vs Peoria Rivermen
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Centre de jeu
Rochester Americans
33-34-7, 73pts
2
FINAL
5 Indianapolis Checkers
23-43-5, 51pts
Team Stats
L3SéquenceW3
20-14-2Fiche domicile11-24-2
13-20-5Fiche domicile12-19-3
5-5-0Derniers 10 matchs4-3-3
3.82Buts par match 2.83
3.88Buts contre par match 4.08
24.44%Pourcentage en avantage numérique19.06%
74.13%Pourcentage en désavantage numérique73.08%
Indianapolis Checkers
23-43-5, 51pts
3
FINAL
1 Baltimore Skipjacks
35-27-9, 79pts
Team Stats
W3SéquenceL1
11-24-2Fiche domicile16-14-7
12-19-3Fiche domicile19-13-2
4-3-3Derniers 10 matchs5-3-2
2.83Buts par match 3.44
4.08Buts contre par match 3.54
19.06%Pourcentage en avantage numérique21.67%
73.08%Pourcentage en désavantage numérique75.23%
Peoria Rivermen
37-29-7, 81pts
Jour 109
Indianapolis Checkers
23-43-5, 51pts
Statistiques d’équipe
L1SéquenceW3
17-17-3Fiche domicile11-24-2
20-12-4Fiche visiteur12-19-3
5-4-110 derniers matchs4-3-3
3.62Buts par match 2.83
3.47Buts contre par match 2.83
21.26%Pourcentage en avantage numérique19.06%
77.87%Pourcentage en désavantage numérique73.08%
Indianapolis Checkers
23-43-5, 51pts
Jour 110
Peoria Rivermen
37-29-7, 81pts
Statistiques d’équipe
W3SéquenceL1
11-24-2Fiche domicile17-17-3
12-19-3Fiche visiteur20-12-4
4-3-310 derniers matchs5-4-1
2.83Buts par match 3.62
4.08Buts contre par match 3.62
19.06%Pourcentage en avantage numérique21.26%
73.08%Pourcentage en désavantage numérique77.87%
Indianapolis Checkers
23-43-5, 51pts
Jour 111
Moncton Golden Flames
32-31-10, 74pts
Statistiques d’équipe
W3SéquenceW2
11-24-2Fiche domicile19-17-1
12-19-3Fiche visiteur13-14-9
4-3-310 derniers matchs4-5-1
2.83Buts par match 3.60
4.08Buts contre par match 3.60
19.06%Pourcentage en avantage numérique23.82%
73.08%Pourcentage en désavantage numérique74.42%
Meneurs d'équipe
Buts
Ed Hospodar
23
Passes
Ed Hospodar
39
Points
Ed Hospodar
62
Plus/Moins
Len Barrie
1
Victoires
Murray Bannerman
18
Pourcentage d’arrêts
Kari Takko
1

Statistiques d’équipe
Buts pour
201
2.83 GFG
Tirs pour
1660
23.38 Avg
Pourcentage en avantage numérique
19.1%
61 GF
Début de zone offensive
35.1%
Buts contre
290
4.08 GAA
Tirs contre
2391
33.68 Avg
Pourcentage en désavantage numérique
73.1%%
91 GA
Début de la zone défensive
45.2%
Informations de l'équipe

Directeur généralChristophe Beauchamp
EntraîneurRon Ullyot
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 250
Espoirs0


Historique d'équipe

Saison actuelle23-43-5 (51PTS)
Historique108-181-15 (0.355%)
Apparitions en séries éliminatoires 3
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
1Don LeverXXX99.00674979737175757264716971668487040700354500,000$
2Steve VickersX100.00696580747471757449767170677770040700373170,000$
3Bob MacMillanXXX100.00632486717071767371726966657976040690354500,000$
4Don BarberXX100.00624075676568686446656662542525040600232145,000$
5Paul HouckX100.00633274626562636048626364512625040580252120,000$
6Ray StaszakXXX100.00635654646762586357626661572525040580252145,000$
7Len Barrie (R)XX100.0066524468666661676164615553272504058019355,000$
8Bill TerryX100.0063268060656061616662635950272504057027145,000$
9Jim ArchibaldX100.0066634061706363624862636049272604057027145,000$
10Larry DePalmaX100.0064574062696266624761645953262504057022145,000$
11Jeff JacksonX100.0065335359665961584861606051272604056023145,000$
12Jiri PonerXXX100.0058277260605960544656575344252504053024145,000$
13Pat MichelettiX100.0057258360605556565556575347252504053024390,000$
14Ed HospodarX100.00857832688879796640706976546248040700293300,000$
15Craig LevieX100.00654272797474757540767576595347040690293300,000$
16Dan MandichX100.00695436647362606540666569443130040610283150,000$
17Wayne McBean (R)X100.0064297466606465644063626141282804058019250,000$
18Tom HirschX100.0067535362696155604062606345302804057025145,000$
19David JensenX100.0057288965625657646163635651292704056027150,000$
Rayé
1Randy SmithX100.0053258560556361566258585544404504056023390,000$
2Emanuel ViveirosX100.0057327466626362574063596244252504056022145,000$
MOYENNE D’ÉQUIPE99.9564426565676565635164646252383604060
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
1Murray Bannerman100.007578778279787973827771633904073031190,000$
2Steve Weeks99.0074757875747373767774726255040720304500,000$
Rayé
1Kari Takko100.007373777674727073746868322804066026170,000$
2Mike Sands100.006663657366626262616359282604059025155,000$
MOYENNE D’ÉQUIPE99.757272747773717171747168463704068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ron Ullyot50505050505070CAN42125,000$


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
1Ed HospodarIndianapolis Checkers (MIN)D71233962-3223535254103146287515.75%138180325.40141125902450001204310%100010.6901403445
2Don LeverIndianapolis Checkers (MIN)C/LW/RW52183654-939559141163569711.04%18121123.29613194320901161972150.00%146200000.8912001322
3Steve VickersIndianapolis Checkers (MIN)LW56183351-42755794140579912.86%25115420.61514193820301112202145.56%27000000.8803001226
4Craig LevieIndianapolis Checkers (MIN)D49113849-16801478109368610.09%105121224.7471320641791012201200%100000.8100000331
5Ray StaszakIndianapolis Checkers (MIN)C/LW/RW69142236-349157062111408012.61%13114916.6556112621200011201041.10%39900000.6323003111
6Dan MandichIndianapolis Checkers (MIN)D7192635-15955141649425589.57%97147520.783811532150000181010%000000.4700010220
7Don BarberIndianapolis Checkers (MIN)LW/RW71151732-2018050691384310110.87%10130818.433693724610152073034.41%9300000.4923000004
8Bob MacMillanIndianapolis Checkers (MIN)C/LW/RW3691928-9120248011131688.11%684823.563710151500111791050.34%73900000.6602000300
9Len BarrieIndianapolis Checkers (MIN)C/LW631414281280755079206017.72%277812.361234320001381041.88%16000000.7201000202
10Wayne McBeanIndianapolis Checkers (MIN)D6322527-829553344817474.17%60111117.641452111100021341050.00%200000.4900010010
11Paul HouckIndianapolis Checkers (MIN)RW71101222-273810395792287110.87%23111015.63033141540000462132.75%17100000.4000010210
12Bill TerryIndianapolis Checkers (MIN)C7181220-292002310875195510.67%15118016.63112113000070142.04%93000000.3400000100
13Jim ArchibaldIndianapolis Checkers (MIN)RW7113619-1280622052133125.00%55277.4331416107000091035.90%7800000.7200000031
14Larry DePalmaIndianapolis Checkers (MIN)LW7171118-2954101193666286410.61%1189812.650110140000130034.69%4900000.4011002111
15David JensenIndianapolis Checkers (MIN)D6941216-238064731112112.90%54110115.971121248000091000%000000.2900000021
16Jeff JacksonIndianapolis Checkers (MIN)LW546511-184801013149204612.24%788116.33000662000070032.31%19500000.2500000111
17Scott BjugstadMinnesota North StarsC/LW/RW16369-720630348268.82%530719.232358550000570047.59%29000000.5901000100
18Tom HirschIndianapolis Checkers (MIN)D39369-64207035346178.82%4980520.641231690000098000%200000.2200000000
19Pat MichelettiIndianapolis Checkers (MIN)C26437-3205261831322.22%236113.9200001000000043.10%23900000.3900000000
20Jiri PonerIndianapolis Checkers (MIN)C/LW/RW40213-90012301541413.33%448012.011012450000360033.85%45500000.1200000000
21George McPheeMinnesota North StarsC/LW/RW2011-620836340%24120.8801116000060043.86%5700000.4800000000
22Ken MorrowMinnesota North StarsD2011-200100400%64120.810110500008000%000000.4800000000
23Tim CoulisMinnesota North StarsC/LW/RW3011120583020%15217.3900006000070051.39%7200000.3800000000
Statistiques d’équipe totales ou en moyenne1136193346539-27478690125412061614500113511.96%6581984217.475798155467242123520197819644.17%566500010.546174310262325
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
1Murray BannermanIndianapolis Checkers (MIN)55183320.8814.0828970019716620610.824175410400
2Steve WeeksIndianapolis Checkers (MIN)285930.8743.9812824085672000001759010
3Kari TakkoIndianapolis Checkers (MIN)10001.000048000280000002000
Statistiques d’équipe totales ou en moyenne84234250.8814.004228402822362061177171410


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange 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 Plafond salarial Non Activé 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 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
Bill TerryIndianapolis Checkers (MIN)C271961-06-29No175 Lbs5 ft8NoNoN/ANoNo12024-01-06FalseFalsePro & Farm45,000$0$0$No------------------Lien
Bob MacMillanIndianapolis Checkers (MIN)C/LW/RW351952-12-03No185 Lbs5 ft11NoNoFree AgentNoNo42024-02-28FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------NoNoNo------Lien
Craig LevieIndianapolis Checkers (MIN)D291959-06-29No190 Lbs5 ft11NoNoN/ANoNo32024-01-06FalseFalsePro & Farm300,000$0$0$No300,000$300,000$-------NoNo-------Lien
Dan MandichIndianapolis Checkers (MIN)D281960-06-12No205 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm150,000$0$0$No150,000$150,000$-------NoNo-------Lien
David JensenIndianapolis Checkers (MIN)D271961-05-03No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm50,000$0$0$No------------------Lien
Don BarberIndianapolis Checkers (MIN)LW/RW231964-12-02No205 Lbs6 ft2NoNoN/ANoNo22024-01-08FalseFalsePro & Farm145,000$0$0$No145,000$--------No--------Lien
Don LeverIndianapolis Checkers (MIN)C/LW/RW351952-11-14No185 Lbs5 ft11NoNoFree AgentNoNo42024-02-28FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------NoNoNo------Lien
Ed HospodarIndianapolis Checkers (MIN)D291959-02-09No210 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm300,000$0$0$No300,000$300,000$-------NoNo-------Lien
Emanuel ViveirosIndianapolis Checkers (MIN)D221966-01-08No175 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm45,000$0$0$No------------------Lien
Jeff JacksonIndianapolis Checkers (MIN)LW231965-04-24No195 Lbs6 ft1NoNoTrade2024-01-30NoNo1FalseFalsePro & Farm45,000$0$0$No------------------Lien
Jim ArchibaldIndianapolis Checkers (MIN)RW271961-06-06No175 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm45,000$0$0$No------------------Lien
Jiri PonerIndianapolis Checkers (MIN)C/LW/RW241964-02-09No175 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm45,000$0$0$No------------------Lien
Kari TakkoIndianapolis Checkers (MIN)G261962-06-23No189 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm70,000$0$0$No------------------Lien
Larry DePalmaIndianapolis Checkers (MIN)LW221965-10-27No195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm45,000$0$0$No------------------Lien
Len BarrieIndianapolis Checkers (MIN)C/LW191969-06-04Yes200 Lbs6 ft1NoNoTrade2024-03-01NoNo32023-12-21FalseFalsePro & Farm55,000$0$0$No55,000$55,000$-------NoNo-------Lien
Mike SandsIndianapolis Checkers (MIN)G251963-04-06No170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm55,000$0$0$No------------------Lien
Murray BannermanIndianapolis Checkers (MIN)G311957-04-27No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm90,000$0$0$No------------------Lien
Pat MichelettiIndianapolis Checkers (MIN)C241963-12-11No175 Lbs5 ft10NoNoN/ANoNo32024-01-08FalseFalsePro & Farm90,000$0$0$No90,000$90,000$-------NoNo-------Lien
Paul HouckIndianapolis Checkers (MIN)RW251963-06-29No185 Lbs5 ft11NoNoN/ANoNo22024-01-08FalseFalsePro & Farm120,000$0$0$No120,000$--------No--------Lien
Randy SmithIndianapolis Checkers (MIN)C231965-06-29No200 Lbs6 ft4NoNoN/ANoNo32024-01-07FalseFalsePro & Farm90,000$0$0$No90,000$90,000$-------NoNo-------Lien
Ray StaszakIndianapolis Checkers (MIN)C/LW/RW251962-12-01No200 Lbs6 ft0NoNoN/ANoNo22024-01-08FalseFalsePro & Farm145,000$0$0$No145,000$--------No--------Lien
Steve VickersIndianapolis Checkers (MIN)LW371951-04-21No180 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm170,000$0$0$No170,000$170,000$-------NoNo-------Lien
Steve WeeksIndianapolis Checkers (MIN)G301958-06-30No170 Lbs5 ft11NoNoFree AgentNoNo42024-01-26FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------NoNoNo------Lien
Tom HirschIndianapolis Checkers (MIN)D251963-01-27No210 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm45,000$0$0$No------------------Lien
Wayne McBeanIndianapolis Checkers (MIN)D191969-02-21Yes190 Lbs6 ft2NoNoTrade2024-03-01NoNo2FalseFalsePro & Farm50,000$0$0$No50,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.40188 Lbs6 ft02.08147,800$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Steve VickersDon LeverBob MacMillan40122
2Don BarberBob MacMillanDon Lever30122
3Len BarrieRay StaszakPat Micheletti20122
4Larry DePalmaBill TerryPaul Houck10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ed HospodarCraig Levie40122
2Dan MandichWayne McBean30122
3Tom HirschDavid Jensen20122
4Ed HospodarCraig Levie10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Steve VickersDon LeverBob MacMillan60122
2Don BarberBob MacMillanDon Lever40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ed HospodarCraig Levie60122
2Dan MandichWayne McBean40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Don LeverSteve Vickers60122
2Bob MacMillanDon Barber40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ed HospodarCraig Levie60122
2Dan MandichWayne McBean40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Don Lever60122Ed HospodarCraig Levie60122
2Bob MacMillan40122Dan MandichWayne McBean40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Don LeverSteve Vickers60122
2Bob MacMillanDon Barber40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ed HospodarCraig Levie60122
2Dan MandichWayne McBean40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steve VickersDon LeverBob MacMillanEd HospodarCraig Levie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steve VickersDon LeverBob MacMillanEd HospodarCraig Levie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ray Staszak, Paul Houck, Len BarrieRay Staszak, Paul HouckRay Staszak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Wayne McBean, Tom Hirsch, David JensenWayne McBeanWayne McBean, Tom Hirsch
Tirs de pénalité
Don Lever, Steve Vickers, Bob MacMillan, Don Barber, Ray Staszak
Gardien
#1 : Steve Weeks, #2 : Murray Bannerman
Lignes d’attaque personnalisées en prolongation
Don Lever, Steve Vickers, Bob MacMillan, Don Barber, Ray Staszak, Paul Houck, Paul Houck, Len Barrie, Jim Archibald, Larry DePalma, Bill Terry
Lignes de défense personnalisées en prolongation
Ed Hospodar, Craig Levie, Dan Mandich, Wayne McBean, Tom Hirsch


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
1Adirondack Red Wings605001001431-1730300000712-530200100719-1210.08314253900836153712956953553934225647513424416.67%331069.70%0923205744.87%1113264742.05%493115642.65%153110051846553912444
2Baltimore Skipjacks53200000161332110000054132100000119260.6001629450083615371155695355393412948578320420.00%22577.27%0923205744.87%1113264742.05%493115642.65%153110051846553912444
3Binghamton Whalers30200100615-91000010034-120200000311-810.16761218008361537765695355393410440465315213.33%21861.90%0923205744.87%1113264742.05%493115642.65%153110051846553912444
4Fort Wayne Komets30300000411-72020000039-61010000012-100.0004711008361537665695355393410427655922313.64%17570.59%0923205744.87%1113264742.05%493115642.65%153110051846553912444
5Fredericton Express412000101618-22110000098120100010710-340.500162541008361537945695355393414328316920210.00%12375.00%1923205744.87%1113264742.05%493115642.65%153110051846553912444
6Hamilton Canucks20200000211-90000000000020200000211-900.000246008361537445695355393482194547600.00%11463.64%0923205744.87%1113264742.05%493115642.65%153110051846553912444
7Hartford Wolf Pack11000000523110000005230000000000021.0005813008361537235695355393423132315500.00%4175.00%0923205744.87%1113264742.05%493115642.65%153110051846553912444
8Maine Mariners20200000212-101010000015-41010000017-600.000235008361537535695355393471271430800.00%70100.00%0923205744.87%1113264742.05%493115642.65%153110051846553912444
9Manitoba Moose4210001010100220000006242010001048-460.750101727008361537935695355393413537417715320.00%18288.89%1923205744.87%1113264742.05%493115642.65%153110051846553912444
10Milwaukee Admirals614000102228-6303000001017-7311000101211140.33322386010836153716356953553934200557811927622.22%30970.00%0923205744.87%1113264742.05%493115642.65%153110051846553912444
11Moncton Golden Flames413000001115-42110000078-12020000047-320.2501120310083615371195695355393412035207230516.67%10460.00%0923205744.87%1113264742.05%493115642.65%153110051846553912444
12New Haven Nighthawks3210000014952110000067-11100000082640.667142741008361537615695355393410139384810330.00%13192.31%0923205744.87%1113264742.05%493115642.65%153110051846553912444
13Nova Scotia Oilers413000001318-530300000816-81100000052320.250132437008361537905695355393411024468722418.18%12283.33%0923205744.87%1113264742.05%493115642.65%153110051846553912444
14Peoria Rivermen41300000619-132110000059-420200000110-920.25061218008361537885695355393413349516413430.77%23865.22%0923205744.87%1113264742.05%493115642.65%153110051846553912444
15Philadelphia Phantoms311001001011-11010000035-22100010076130.50010192900836153762569535539349318244523521.74%11372.73%0923205744.87%1113264742.05%493115642.65%153110051846553912444
16Providence Bruins412010001014-430201000712-51100000032140.500101929008361537835695355393416542347418422.22%16287.50%0923205744.87%1113264742.05%493115642.65%153110051846553912444
17Rochester Americans330000001266220000008441100000042261.00012213300836153791569535539349725285216531.25%12191.67%0923205744.87%1113264742.05%493115642.65%153110051846553912444
18Sherbrooke Canadiens2020000037-41010000024-21010000013-200.0003690083615373356953553934513230364125.00%15566.67%0923205744.87%1113264742.05%493115642.65%153110051846553912444
19Springfield Indians20000200911-21000010045-11000010056-120.500916250083615375456953553934772328338112.50%13561.54%0923205744.87%1113264742.05%493115642.65%153110051846553912444
20St. Catharines Saints615000001629-1330300000613-7312000001016-620.16716264200836153712356953553934228648211014535.71%381365.79%0923205744.87%1113264742.05%493115642.65%153110051846553912444
Total71194301530201290-8937102401200105146-41349190033096144-48510.359201358559108361537166056953553934239170985613073206119.06%3389173.08%2923205744.87%1113264742.05%493115642.65%153110051846553912444
_Since Last GM Reset71194301530201290-8937102401200105146-41349190033096144-48510.359201358559108361537166056953553934239170985613073206119.06%3389173.08%2923205744.87%1113264742.05%493115642.65%153110051846553912444
_Vs Conference369250002098150-5219514000005181-3017411000204769-22220.306981752731083615378475695355393412133494666831593320.75%1724872.09%1923205744.87%1113264742.05%493115642.65%153110051846553912444
_Vs Division223150001058107-491119000002851-231126000103056-2680.1825810115910836153750356953553934786232286427781924.36%1244067.74%0923205744.87%1113264742.05%493115642.65%153110051846553912444

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7151W320135855916602391709856130710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7119431530201290
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3710241200105146
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
34919033096144
Derniers 10 matchs
WLOTWOTL SOWSOL
430300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3206119.06%3389173.08%2
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
569535539348361537
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
923205744.87%1113264742.05%493115642.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
153110051846553912444


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
13Adirondack Red Wings4Indianapolis Checkers3LSommaire du match
214Indianapolis Checkers1Peoria Rivermen5LSommaire du match
424Peoria Rivermen7Indianapolis Checkers2LSommaire du match
641Indianapolis Checkers4St. Catharines Saints3WSommaire du match
953St. Catharines Saints5Indianapolis Checkers1LSommaire du match
1065Milwaukee Admirals6Indianapolis Checkers5LSommaire du match
1172Indianapolis Checkers0Adirondack Red Wings5LSommaire du match
1284Indianapolis Checkers3Philadelphia Phantoms4LXSommaire du match
1595Providence Bruins6Indianapolis Checkers3LSommaire du match
16107Manitoba Moose1Indianapolis Checkers3WSommaire du match
18117Indianapolis Checkers4Milwaukee Admirals3WXXSommaire du match
19127Indianapolis Checkers5Baltimore Skipjacks2WSommaire du match
20135Indianapolis Checkers1Moncton Golden Flames3LSommaire du match
21144Adirondack Red Wings5Indianapolis Checkers2LSommaire du match
23157Nova Scotia Oilers7Indianapolis Checkers1LSommaire du match
25170Fort Wayne Komets4Indianapolis Checkers2LSommaire du match
28185Indianapolis Checkers5Nova Scotia Oilers2WSommaire du match
29195Moncton Golden Flames5Indianapolis Checkers2LSommaire du match
31207Indianapolis Checkers3Baltimore Skipjacks6LSommaire du match
32217Adirondack Red Wings3Indianapolis Checkers2LSommaire du match
34231Sherbrooke Canadiens4Indianapolis Checkers2LSommaire du match
35244Indianapolis Checkers3Providence Bruins2WSommaire du match
36253Rochester Americans2Indianapolis Checkers3WSommaire du match
38263Indianapolis Checkers5Milwaukee Admirals2WSommaire du match
40274Fort Wayne Komets5Indianapolis Checkers1LSommaire du match
41284Indianapolis Checkers4Rochester Americans2WSommaire du match
42294Milwaukee Admirals6Indianapolis Checkers2LSommaire du match
44307Indianapolis Checkers2Hamilton Canucks4LSommaire du match
45316Manitoba Moose1Indianapolis Checkers3WSommaire du match
46325Indianapolis Checkers1Binghamton Whalers8LSommaire du match
47335Milwaukee Admirals5Indianapolis Checkers3LSommaire du match
49349Indianapolis Checkers2St. Catharines Saints8LSommaire du match
50357Baltimore Skipjacks2Indianapolis Checkers5WSommaire du match
52369Indianapolis Checkers4St. Catharines Saints5LSommaire du match
53379Baltimore Skipjacks2Indianapolis Checkers0LSommaire du match
55390Indianapolis Checkers2Binghamton Whalers3LSommaire du match
56399Fredericton Express7Indianapolis Checkers3LSommaire du match
59411Indianapolis Checkers5Fredericton Express4WXXSommaire du match
60423Philadelphia Phantoms5Indianapolis Checkers3LSommaire du match
61427Indianapolis Checkers0Peoria Rivermen5LSommaire du match
62438Indianapolis Checkers3Milwaukee Admirals6LSommaire du match
63446Moncton Golden Flames3Indianapolis Checkers5WSommaire du match
64456Indianapolis Checkers3Manitoba Moose2WXXSommaire du match
66468Fredericton Express1Indianapolis Checkers6WSommaire du match
68479Indianapolis Checkers2Fredericton Express6LSommaire du match
69489Binghamton Whalers4Indianapolis Checkers3LXSommaire du match
70503Hartford Wolf Pack2Indianapolis Checkers5WSommaire du match
73517Indianapolis Checkers4Philadelphia Phantoms2WSommaire du match
74527New Haven Nighthawks4Indianapolis Checkers1LSommaire du match
75538Indianapolis Checkers3Moncton Golden Flames4LSommaire du match
76547Providence Bruins2Indianapolis Checkers3WXSommaire du match
80568Indianapolis Checkers1Maine Mariners7LSommaire du match
81575Providence Bruins4Indianapolis Checkers1LSommaire du match
82589Nova Scotia Oilers6Indianapolis Checkers5LSommaire du match
84601Indianapolis Checkers0Hamilton Canucks7LSommaire du match
85611St. Catharines Saints4Indianapolis Checkers3LSommaire du match
86618Indianapolis Checkers1Fort Wayne Komets2LSommaire du match
88631St. Catharines Saints4Indianapolis Checkers2LSommaire du match
89637Indianapolis Checkers1Sherbrooke Canadiens3LSommaire du match
91653Peoria Rivermen2Indianapolis Checkers3WSommaire du match
93663Indianapolis Checkers5Adirondack Red Wings11LSommaire du match
94672Maine Mariners5Indianapolis Checkers1LSommaire du match
96682Indianapolis Checkers2Adirondack Red Wings3LXSommaire du match
97694Springfield Indians5Indianapolis Checkers4LXSommaire du match
99712Indianapolis Checkers5Springfield Indians6LXSommaire du match
100714Nova Scotia Oilers3Indianapolis Checkers2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
101723Indianapolis Checkers8New Haven Nighthawks2WSommaire du match
103735Indianapolis Checkers1Manitoba Moose6LSommaire du match
104740New Haven Nighthawks3Indianapolis Checkers5WSommaire du match
106757Rochester Americans2Indianapolis Checkers5WSommaire du match
107759Indianapolis Checkers3Baltimore Skipjacks1WSommaire du match
109777Peoria Rivermen-Indianapolis Checkers-
110785Indianapolis Checkers-Peoria Rivermen-
111791Indianapolis Checkers-Moncton Golden Flames-
112800Hamilton Canucks-Indianapolis Checkers-
114811Indianapolis Checkers-Hartford Wolf Pack-
116821Manitoba Moose-Indianapolis Checkers-
117822Indianapolis Checkers-Nova Scotia Oilers-
119841Hamilton Canucks-Indianapolis Checkers-
120843Indianapolis Checkers-Manitoba Moose-
122851Indianapolis Checkers-New Haven Nighthawks-
123860Indianapolis Checkers-Sherbrooke Canadiens-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
300,865$ 369,500$ 359,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 294,450$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 17 2,980$ 50,660$




Indianapolis Checkers 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
1Craig Levie25167208275-585411942062210.77%479598323.8436911274031458650%10.9211
2George McPhee235102109211-1830464547571314.31%108452719.273947862171451613550.27%50.9337
3Bob Rouse24142128170-6943860624241010.24%372528021.912657832462355230%00.6400
4John Markell2137988167-35348729064212.31%96394418.52223860166415184344.85%40.8527
5Willi Plett1695973132-2026650324041314.29%39308318.2519355411010174248.33%20.8635

Indianapolis Checkers 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
1Kari Takko942943100.8784.0147846532026150610.70020
2Murray Bannerman70234050.8833.9837390124821200610.72722
3Jim Craig61222870.8853.8033752121418540220.5569
4Tom Barrasso2514640.8823.59132200796670200.7508
5Ed Belfour116410.9143.3466520374290210.3333

Indianapolis Checkers 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
198582234205741280352-7241112002521135172-3741122203220145180-357228048576520108828111230575875475851286287398617054019122.69%41911073.75%41032259539.77%1194307638.82%565139140.62%1787119421386351042502
198682224704612276368-9241132202301162181-194192502311114187-73622764937694210973897235583171878431290583695115793447922.97%40910674.08%41279268347.67%1455309746.98%692142948.43%1802120721176301033495
198782234901621236359-12341172100111129162-334162801510107197-90592364206561579817372057668739638232787830101317013758322.13%44112272.34%31165254645.76%1340301844.40%613139044.10%1809119320886271048509
198871194301530201290-8937102401200105146-41349190033096144-4851201358559108361537166056953553934239170985613073206119.06%3389173.08%2923205744.87%1113264742.05%493115642.65%153110051846553912444
Total Saison régulière31787181011241049931369-3761605187051133531661-1301573694061371462708-246244993175627498737929729632837728262746271913910945324838066292144031421.81%160742973.30%134399988144.52%51021183843.10%2363536644.04%693146018190244640371952
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Indianapolis Checkers 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

Indianapolis Checkers 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