Troy Indians

GP: 6 | W: 3 | L: 3 | T: 0 | P: 6
GF: 10 | GA: 9 | PP%: 33.33% | PK%: 93.75%
DG: | Morale : 51 | Moyenne d'Équipe : 64
Prochain matchs vs Elmira Roadrunners
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1Brock NazarenoX100.009836577967888470835074808093731550710
2Lee BehmeX100.006836516774778887497867527093834450700
3Ben RothenbergX100.003120906463757386698093507086754850700
4Darrell FriskneyX100.009038647973596063856588589799741250690
5Dion GoedeX100.008134666676746975497891457499652450690
6Charlie PietrzykX100.004140927556818872456674575081846750670
7Andrew FaganX100.00191996375596877837469507299993050660
8Tony McNeilX100.009940605977506258777163687299993850660
9Loren RempeX100.006245276860747458718586427082414850650
10Kenny MillwoodX100.005340777260747054595673707088776250640
11Tim McCaskeyX100.009939397473464871246463545077994050630
12Nick SchannoX100.00452099657176626574989617069476250630
13Justin ShufordX100.003924877976697470686994707090535547690
14Chad LazarczykX100.00221996280665754484468926499994850670
15Kyle CoutureX100.00996237578167823213225845099891950660
16Cary BivensX100.006151517264757964265561757081386350650
17Wayne LesleyX100.004015997871627161464776517072674150610
18Eli KrawczykX100.004340996462787933263041677089996650600
Rayé
1Jarrett HerzogX100.007540577358844883844384407081566150630
2Ben ChildressX100.001710997468745040224386637097944850610
3Anthony HerbertX100.005217996773716563115749597087753750600
4Heath RobakX100.004376217651846960758036477074787650600
5Sven JahnsenX100.006941357072727431464481477072996350590
6Kevin StieglerX100.004725867669787352834579397065465750590
7Kevin TuccilloX100.00594573777180666173759567097395950590
8Michel BoucherX100.004025996365758656115065537064835350590
9Donald HardyX100.005225647065806847796169457091365150590
10Larry PerrinsX100.004640816763777048386361517096405650590
11Courtney TondreauX100.003520996676736140675461637093584750580
12Joel DownieX100.00525170717274794854446667084396250570
13Pasquale DeClercX100.00703791687077665884656447099455350570
14Jimmy RoekerX100.007029556070755057544566497094835150590
15Grayson WintleX100.008928626354867172342553477080885750590
16Nicolas SchubertX100.002315997575818036293139645083455050580
17Anthony CrandellX100.006437516671766367526764287091385450580
MOYENNE D'ÉQUIPE100.00573372696973695946556757698769495063
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 SP
1Darryl Haist100.00997464687499756764657099924850750
2Carey Nack100.00718666706977747566626778826650710
Rayé
1Devin DeGasperis100.00798475837668746753627199564950700
2Nick Delfierro100.00786866726999705854587376684450680
MOYENNE D'ÉQUIPE100.0082786873728673675962708875525071
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Don Creasman71576858688852USA532400,000$


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'ÉquipePOS GP 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
1Brock NazarenoTroy Indians (Alb)LW674111202773041523.33%315325.642243140000160047.37%3851011.4300000301
2Ben RothenbergTroy Indians (Alb)C62790007122412168.33%413222.141343140001150065.85%16470001.3500000010
3Macklin ConliskAlbany IndiansD6055-20071012830.00%616828.06011017000017000.00%008000.5900000000
4Dion GoedeTroy Indians (Alb)RW3235340102114818.18%25016.8411214000041050.00%412001.9800000010
5Larson ReyerAlbany IndiansD6235-100391711511.76%1016728.00123417000017100.00%055000.6000000010
6Tony McNeilTroy Indians (Alb)RW6224-220175112718.18%410517.60123312000000172.73%1110000.7600000000
7Darrell FriskneyTroy Indians (Alb)C6123-240712125108.33%09315.6600018000021049.32%7320000.6400000000
8Andrew FaganTroy Indians (Alb)C62021000371328.57%0477.9300000000160066.67%1221000.8400000002
9Tim McCaskeyTroy Indians (Alb)LW6022300432140.00%0416.850000200002000.00%131000.9700000000
10Loren RempeTroy Indians (Alb)RW6112-48013884612.50%18914.9100005000000075.00%420000.4500000000
11Chad LazarczykTroy Indians (Alb)D6011000164210.00%510317.2400007000010000.00%011000.1900000000
12Charlie PietrzykTroy Indians (Alb)C6011-50014162140.00%18514.1800003000000048.15%2740000.2400000000
13Kyle CoutureTroy Indians (Alb)D60110201565110.00%911919.9400019000010000.00%104000.1700000000
14Wayne LesleyTroy Indians (Alb)D6011-200125120.00%27813.080000000000000.00%000000.2500000000
15Lee BehmeTroy Indians (Alb)LW6011-180106188130.00%310717.99000110000350028.57%710000.1900000000
16Cary BivensTroy Indians (Alb)D6101-2205670214.29%38614.350000100000000.00%001000.2300000000
17Kenny MillwoodTroy Indians (Alb)LW6011-500566080.00%17712.900000000000000.00%112000.2600000000
18Anthony HerbertTroy Indians (Alb)RW3000-300914020.00%14314.380000000000000.00%001000.0000000000
19Nick SchannoTroy Indians (Alb)C3000000020000.00%0144.810000100000000.00%100000.0000000000
20Jarrett HerzogTroy Indians (Alb)LW3000000112020.00%0155.310000000000000.00%010000.0000000000
Stats d'équipe Total ou en Moyenne108203555-21320143111201661229.95%55178216.51611171713300051093157.56%3443627010.6200000333
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
1Darryl HaistTroy Indians (Alb)63300.8873.15362001916864000.000060010
Stats d'équipe Total ou en Moyenne63300.8873.15362001916864000.000060010


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 CONT StatusType Salaire Actuel Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andrew FaganTroy Indians (Alb)C352/26/1982No204 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm394,000$394,000$394,000$
Anthony CrandellTroy Indians (Alb)D214/26/1996No208 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm202,548$
Anthony HerbertTroy Indians (Alb)RW211/13/1996No206 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm356,575$
Ben ChildressTroy Indians (Alb)C236/9/1994No171 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm232,883$
Ben RothenbergTroy Indians (Alb)C205/23/1997No226 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm419,712$419,712$
Brock NazarenoTroy Indians (Alb)LW273/23/1990No158 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm528,000$
Carey NackTroy Indians (Alb)RW199/8/1997No174 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm242,087$242,087$242,087$
Cary BivensTroy Indians (Alb)D1912/31/1997No186 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm316,077$316,077$316,077$
Chad LazarczykTroy Indians (Alb)D255/1/1992No216 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm389,000$389,000$389,000$
Charlie PietrzykTroy Indians (Alb)C194/4/1998No170 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm398,269$398,269$398,269$
Courtney TondreauTroy Indians (Alb)C228/20/1994No210 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm243,000$243,000$243,000$
Darrell FriskneyTroy Indians (Alb)C278/13/1989No172 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm485,000$485,000$485,000$
Darryl HaistTroy Indians (Alb)LW251/15/1992No147 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$
Devin DeGasperisTroy Indians (Alb)RW288/26/1988No206 Lbs6 ft9NoNoNo3Sans RestrictionPro & Farm255,000$255,000$255,000$
Dion GoedeTroy Indians (Alb)RW264/13/1991No203 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm492,000$492,000$492,000$
Donald HardyTroy Indians (Alb)LW2012/8/1996No193 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm219,073$219,073$
Eli KrawczykTroy Indians (Alb)D197/17/1997No205 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm235,547$235,547$235,547$
Grayson WintleTroy Indians (Alb)D2211/7/1994No208 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm250,000$250,000$250,000$
Heath RobakTroy Indians (Alb)C194/14/1998No161 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm250,873$250,873$250,873$
Jarrett HerzogTroy Indians (Alb)LW1911/10/1997No180 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm269,443$269,443$269,443$
Jimmy RoekerTroy Indians (Alb)D217/13/1995No217 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm224,764$
Joel DownieTroy Indians (Alb)RW214/8/1996No193 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm213,526$
Justin ShufordTroy Indians (Alb)D226/14/1995No180 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm485,000$485,000$485,000$
Kenny MillwoodTroy Indians (Alb)LW194/17/1998No187 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm313,960$313,960$313,960$
Kevin StieglerTroy Indians (Alb)C236/6/1994No174 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm262,000$262,000$262,000$
Kevin TuccilloTroy Indians (Alb)RW218/19/1995No183 Lbs6 ft7NoNoNo1Contrat d'EntréePro & Farm280,229$
Kyle CoutureTroy Indians (Alb)D282/26/1989No233 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm441,000$441,000$441,000$
Larry PerrinsTroy Indians (Alb)LW204/4/1997No203 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm229,659$229,659$
Lee BehmeTroy Indians (Alb)LW219/20/1995No200 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm325,625$
Loren RempeTroy Indians (Alb)RW202/21/1997No167 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm326,274$326,274$
Michel BoucherTroy Indians (Alb)LW2011/27/1996No207 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm224,690$224,690$
Nick DelfierroTroy Indians (Alb)D283/14/1989No182 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm248,000$248,000$248,000$
Nick SchannoTroy Indians (Alb)C207/11/1996No216 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm268,570$268,570$
Nicolas SchubertTroy Indians (Alb)D2412/26/1992No182 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm254,000$254,000$254,000$
Pasquale DeClercTroy Indians (Alb)RW207/14/1996No205 Lbs6 ft7NoNoNo2Contrat d'EntréePro & Farm246,547$246,547$
Sven JahnsenTroy Indians (Alb)C222/10/1995No195 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm250,000$250,000$250,000$
Tim McCaskeyTroy Indians (Alb)LW243/2/1993No176 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm233,770$
Tony McNeilTroy Indians (Alb)RW346/30/1982No219 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm404,000$404,000$404,000$
Wayne LesleyTroy Indians (Alb)D222/24/1995No174 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm249,000$249,000$249,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3922.72192 Lbs6 ft32.31311,787$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock NazarenoBen RothenbergDion Goede40122
2Lee BehmeDarrell FriskneyTony McNeil30122
3Kenny MillwoodCharlie PietrzykLoren Rempe20122
4Andrew FaganBrock Nazareno10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Shuford40122
2Chad LazarczykKyle Couture30122
3Cary BivensWayne Lesley20122
4Justin Shuford10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock NazarenoBen RothenbergDion Goede60122
2Lee BehmeDarrell FriskneyTony McNeil40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Shuford60122
2Chad LazarczykKyle Couture40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brock NazarenoBen Rothenberg60122
2Lee BehmeDarrell Friskney40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Shuford60122
2Chad LazarczykKyle Couture40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brock Nazareno60122Justin Shuford60122
2Ben Rothenberg40122Chad LazarczykKyle Couture40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brock NazarenoBen Rothenberg60122
2Lee BehmeDarrell Friskney40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Shuford60122
2Chad LazarczykKyle Couture40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock NazarenoBen RothenbergDion GoedeJustin Shuford
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock NazarenoBen RothenbergDion GoedeJustin Shuford
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tim McCaskey, Charlie Pietrzyk, Andrew FaganTim McCaskey, Charlie PietrzykAndrew Fagan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cary Bivens, Wayne Lesley, Chad LazarczykCary BivensWayne Lesley, Chad Lazarczyk
Tirs de Pénalité
Brock Nazareno, Ben Rothenberg, Lee Behme, Darrell Friskney, Dion Goede
Gardien
#1 : Darryl Haist, #2 : Carey Nack


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
LigueDomicileVisiteur
# 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
1Charlesbourg Cavaliers2020000059-41010000024-21010000035-200.00059140051041677481433631864010330.00%3166.67%08113161.83%6413746.72%537669.74%128691155711860
2Elmira Roadrunners11000000523000000000001100000052321.000571200510413274814333611101711100.00%50100.00%08113161.83%6413746.72%537669.74%128691155711860
3Longueuil Voyageurs11000000312110000003120000000000021.00036900510413174814331466363266.67%30100.00%08113161.83%6413746.72%537669.74%128691155711860
4Montpelier Cougars20101000770100010005411010000023-120.50071320005104171748143355201050400.00%50100.00%08113161.83%6413746.72%537669.74%128691155711860
Since Last GM Reset6230100020191311010001091312000001010060.50020355500510412017481433168553214318633.33%16193.75%08113161.83%6413746.72%537669.74%128691155711860
Total6230100020191311010001091312000001010060.50020355500510412017481433168553214318633.33%16193.75%08113161.83%6413746.72%537669.74%128691155711860
Vs Conference6230100020191311010001091312000001010060.50020355500510412017481433168553214318633.33%16193.75%08113161.83%6413746.72%537669.74%128691155711860
Vs Division6230100020191311010001091312000001010060.50020355500510412017481433168553214318633.33%16193.75%08113161.83%6413746.72%537669.74%128691155711860

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
66L1203555201168553214300
Tous les Matchs
GPWLOTWOTL TGFGA
6231002019
Matchs locaux
GPWLOTWOTL TGFGA
311100109
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
3120001010
Derniers 10 Matchs
WLOTWOTL T
23100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
18633.33%16193.75%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
748143351041
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
8113161.83%6413746.72%537669.74%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
128691155711860


Derniers Match 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
1 - 2017-12-094Troy Indians5Elmira Roadrunners2WSommaire du Match
2 - 2017-12-1010Troy Indians2Montpelier Cougars3LSommaire du Match
5 - 2017-12-1321Troy Indians3Charlesbourg Cavaliers5LSommaire du Match
6 - 2017-12-1428Longueuil Voyageurs1Troy Indians3WSommaire du Match
10 - 2017-12-1851Montpelier Cougars4Troy Indians5WXSommaire du Match
14 - 2017-12-2273Charlesbourg Cavaliers4Troy Indians2LSommaire du Match
18 - 2017-12-2691Napean Spartans-Troy Indians-
19 - 2017-12-27102Troy Indians-Napean Spartans-
22 - 2017-12-30117Troy Indians-Lowell Plainsmen-
23 - 2017-12-31127Amherst Winterhawks-Troy Indians-
28 - 2018-01-05149Amherst Winterhawks-Troy Indians-
31 - 2018-01-08164Troy Indians-Napean Spartans-
33 - 2018-01-10171Beverly Jr. Eagles-Troy Indians-
37 - 2018-01-14194Reading Patriots-Troy Indians-
39 - 2018-01-16211Troy Indians-Amherst Winterhawks-
41 - 2018-01-18222Williamsburg Dragons-Troy Indians-
44 - 2018-01-21241Troy Indians-Lafayette Racers-
46 - 2018-01-23252Napean Spartans-Troy Indians-
48 - 2018-01-25261Troy Indians-Virginia Beach Mariners-
50 - 2018-01-27275Canadaigua Lakers-Troy Indians-
54 - 2018-01-31300Columbia Tigers-Troy Indians-
59 - 2018-02-05322Troy Indians-Watertown Bulls-
60 - 2018-02-06328Johnstown Yellow Jackets-Troy Indians-
64 - 2018-02-10352Harrisburg Rockets-Troy Indians-
66 - 2018-02-12365Troy Indians-Pawtucket Reds-
69 - 2018-02-15380Longueuil Voyageurs-Troy Indians-
71 - 2018-02-17390Troy Indians-Augusta Wolves-
74 - 2018-02-20405Virginia Beach Mariners-Troy Indians-
76 - 2018-02-22415Troy Indians-Scarborough Royals-
78 - 2018-02-24422Troy Indians-Cape Breton Kings-
80 - 2018-02-26434Charlesbourg Cavaliers-Troy Indians-
82 - 2018-02-28446Troy Indians-Watertown Bulls-
84 - 2018-03-02456Troy Indians-Charlottesville Robins-
86 - 2018-03-04466Augusta Wolves-Troy Indians-
88 - 2018-03-06484Troy Indians-Longueuil Voyageurs-
90 - 2018-03-08491Elmira Roadrunners-Troy Indians-
93 - 2018-03-11509Troy Indians-Bowling Green Red Devils-
95 - 2018-03-13518Elmira Roadrunners-Troy Indians-
98 - 2018-03-16534Troy Indians-Elmira Roadrunners-
100 - 2018-03-18547Pawtucket Reds-Troy Indians-
101 - 2018-03-19554Troy Indians-Dayton Clippers-
104 - 2018-03-22568Troy Indians-Montpelier Cougars-
106 - 2018-03-24578Arlington Americans-Troy Indians-
108 - 2018-03-26593Troy Indians-Montpelier Cougars-
110 - 2018-03-28603Troy Indians-Charlesbourg Cavaliers-
112 - 2018-03-30610Watertown Bulls-Troy Indians-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
117 - 2018-04-04630Troy Indians-Niagara Falls Wings-
119 - 2018-04-06641Lowell Plainsmen-Troy Indians-
122 - 2018-04-09656Montpelier Cougars-Troy Indians-
124 - 2018-04-11667Troy Indians-Longueuil Voyageurs-
127 - 2018-04-14682Cape Breton Kings-Troy Indians-
130 - 2018-04-17703Watertown Bulls-Troy Indians-
132 - 2018-04-19711Troy Indians-Beverly Jr. Eagles-
133 - 2018-04-20713Troy Indians-Lowell Plainsmen-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
24 0 - 0.00% 0$0$3000110

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,039,926$ 3,039,926$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
378,264$ 22,189$ 378,264$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 120 22,189$ 2,662,680$




LigueDomicileVisiteur
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
07-0880303942500274332-5840122022400137164-2740181920100137168-31642744407140377979822471726917807212348807159719132444920.08%2847374.30%8921175552.48%887171851.63%720142550.53%161278715178051707852
08-0980343163600298299-140191322400145141440151841200153158-57429847777503771171013249780582284822237575379917562215223.53%2587172.48%8875175549.86%860165452.00%684134250.97%1613784317817051741879
09-1080264423500247306-5940152110300129150-2140112313200118156-38542474086550263101803236867287480715237580375314541943819.59%2405875.83%8932171054.50%880165553.17%727129955.97%1577732495326601787926
10-11802832965002812691240151923100128133-54013137340015313617652814707515277901086259686285183845234875448914681894925.93%2023682.18%61043186156.05%900172752.11%655118355.37%162579014857971756900
11-1280323672300295318-2340181551100153159-640142121200142159-177129549579020871079922914100098391516276094544115792145023.36%2146271.03%31006201050.05%983198749.47%613126948.31%158382616547971609774
12-1380323394200308314-640161444200149150-140161950000159164-573308506814201071178042846105994581626268296441516802303916.96%1845371.20%31023199651.25%954183052.13%646128450.31%166989015757721613807
13-1480284145200297329-3240121944100143163-2040162201100154166-126029748478130941039552779978101776717296496965015031784123.03%2707472.59%9862190445.27%988218645.20%598128946.39%157582316837931571759
14-1580303354800305345-404091734700152185-3340211620100153160-7653055198242098991044308311551005904193105109754715732165224.07%2255874.22%31027211148.65%1046222946.93%666133649.85%165991216797501505752
15-1680333282500330331-140131752300163174-114020153020016715710743305518811012110998232911266102298716303999146017412253816.89%2134678.40%41051216648.52%968214245.19%642138146.49%1755101016327371467737
16-17803234121100279293-1440131791000143159-16401917301001361342762794597381180100981269796592879212264184362515942364418.64%2716775.28%81074193955.39%1072198254.09%694126155.04%172095516207581519749
100162301000201913110100010913120000010100620355500510412017481433168553214318633.33%16193.75%08113161.83%6413746.72%537669.74%128691155711860
Total Saison Régulière8063073586633420029343155-2214031431733724260014521587-135403164185299160014821568-86682293448447778161188610509653327743956294458524212268058981680816404216545821.15%237759974.80%6098951933851.17%96021924749.89%66981314550.95%1652285822109610637163988201