Columbia Tigers

GP: 6 | W: 2 | L: 2 | T: 2 | P: 6
GF: 17 | GA: 16 | PP%: 33.33% | PK%: 75.00%
DG: Terrance Westerlund | Morale : 50 | Moyenne d'Équipe : 64
Prochain matchs vs Arlington Americans
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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
1Trevor CravenX100.0048592677294907933809188499932648680
2Andrew TuttonX99.50145996288958672417281455093843546680
3Alan PiccolaX99.502010997575756674408286417095754849680
4Alexander-Denis RoupeX100.007282807670768565596778567089763852680
5David LombardiX100.006434537264837268588176417099995548680
6Tommy FontesX100.004222776863757368417069627096865548660
7Richard VillalobosX100.009941576377496462826659686899993148650
8Owen BrowningX100.007627877480857447506383325099993848650
9Will JuncajX100.009348557477777546654987687082524748650
10Dave ZiskX100.004326837864826164267371567074775848650
11Taylor LindellX100.00343175866873769937989818199991849680
12Jon LeuckX100.009345168264757373256693387099832549680
13Will TabelingX100.0011995482546592357870885099762248670
14Clint JustinianoX100.0092326468767273352393981429984948670
15Philip ArciaX100.005925868074828076566584305097963648670
16Dustin TrivisonnoX100.004522857078718860405067707076873348660
17Cory PrussX100.002621827275728745414479667096975948630
18Ty BurtonX100.006560817959797752144847625099565748630
Rayé
1Mark AbeleX100.005919906674786461545764517099844549620
2Garrett ResslerX100.00171199666464537226077587099434449620
3Justin McWrightX100.0026899747171615335867517099855149610
4Derrick EllenX100.002611997670616361533092555084465449600
5Koby GrattonX100.006754416769736939517469447099434949600
6Dean PenneyX100.003525806964747256503878617087574849600
7Drew MangioneX100.008447436671766958643068487079907849590
8Darin KennedyX100.00462599646774895944156647083574549590
9Glenn AmmonX100.0011996873626546913779469883963449580
10Brett RamseyX100.002310997970678046434862537099455349580
11Ryan FusilierX100.003120997273767258144737647088474149570
12David RotelliX100.005146996774786538232749737072994349570
13Joe PalazziX100.005165597470766749152846697099623849560
14Nate MartinX100.004940946964776843253231795099615649620
15Christopher SteckerX100.009957506376788218132019603899993149610
16Mason McFarlaneX100.005749637359717941203938707096365349600
17Raphael SanmiguelX100.005840807358824257563544707069575049600
18Geoff StolbergX100.003520996574778749253791477078717249590
19Danny FedericoX100.004425866858756930294440765092427249590
MOYENNE D'ÉQUIPE99.97503080717075725737536755659274454963
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
1Joshua Gilling100.00797243836681806483769290854845740
2Jayson Sandrock100.00815670827569867665607087554948710
Rayé
1Jeff McNease100.00846861686876786376706754826049700
2Stuart Conboy100.00797264756675697574595370815549700
MOYENNE D'ÉQUIPE100.0081676077697578707566717576534871
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mario Cicchane79578572638357CAN412300,000$


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
1Alan PiccolaColumbia Tigers (Bal)LW6511166001052292222.73%215025.01213214000090146.67%1571002.1300000310
2Taylor LindellColumbia Tigers (Bal)D63912420272891310.71%415125.2012351400009100.00%051001.5900000003
3Carlo SpitaleBaltimore TigersC56511500417193531.58%110120.3012348000140045.45%13210002.1700000020
4Alexander-Denis RoupeColumbia Tigers (Bal)RW6415695155146128.57%314223.81000113000080037.93%2913000.7000100001
5Trevor CravenColumbia Tigers (Bal)RW6044-400811129110.00%212120.2401129000040042.86%761000.6600000000
6Andrew TuttonColumbia Tigers (Bal)C1022100023040.00%02525.0501104000000042.86%3511001.6000000000
7Philip ArciaColumbia Tigers (Bal)D6022-400434420.00%011318.9601111000006000.00%020000.3500000000
8Jon LeuckColumbia Tigers (Bal)D6112412020911119.09%714524.2411251400005000.00%036000.2800000000
9David LombardiColumbia Tigers (Bal)LW6202-400186115818.18%711619.3500009000121050.00%213000.3400000000
10Richard VillalobosColumbia Tigers (Bal)RW6101-2209715376.67%09315.6300013000000025.00%402000.2100000000
11Will TabelingColumbia Tigers (Bal)D6011200052230.00%36711.320000100000000.00%013000.2900000000
12Clint JustinianoColumbia Tigers (Bal)D6011-4007115120.00%511519.2501101000006000.00%003000.1700000000
13Owen BrowningColumbia Tigers (Bal)C6011-100784480.00%48414.1600000000020048.65%3721000.2400000000
14Dustin TrivisonnoColumbia Tigers (Bal)D6011320145020.00%37011.770000000005000.00%003000.2800000000
15Tommy FontesColumbia Tigers (Bal)C6101-40061647325.00%110918.2410119000000045.31%6422000.1800000000
16Dave ZiskColumbia Tigers (Bal)LW6011-20051212480.00%29115.2600000000000033.33%360000.2200000000
17Will JuncajColumbia Tigers (Bal)C6000-220403110.00%0376.2900000000000046.15%1300000.0000000000
18Cory PrussColumbia Tigers (Bal)D6000-200050000.00%6406.730000000000000.00%001000.0000000000
19Ty BurtonColumbia Tigers (Bal)D6000-200040000.00%1416.900000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne10823406302951201371746810113.22%51182016.8661016221280002672144.57%3413831000.6900100334
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
1Jayson SandrockColumbia Tigers (Bal)52120.8982.90310001514776000.000051100
2Joshua GillingColumbia Tigers (Bal)10100.8395.09590053117000.000010000
Stats d'équipe Total ou en Moyenne62220.8883.25369002017893000.000061100


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
Alan PiccolaColumbia Tigers (Bal)LW2212/21/1994No182 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm448,000$448,000$448,000$
Alexander-Denis RoupeColumbia Tigers (Bal)RW212/14/1996No180 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm410,125$
Andrew TuttonColumbia Tigers (Bal)C242/19/1993No240 Lbs6 ft9NoNoNo1Avec RestrictionPro & Farm400,000$
Brett RamseyColumbia Tigers (Bal)LW224/11/1995No173 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm245,000$245,000$245,000$
Christopher SteckerColumbia Tigers (Bal)D2611/21/1990No209 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm264,000$264,000$264,000$
Clint JustinianoColumbia Tigers (Bal)D274/4/1990No194 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm457,500$
Cory PrussColumbia Tigers (Bal)D211/13/1996No205 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm290,097$
Danny FedericoColumbia Tigers (Bal)D256/3/1992No193 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm221,418$221,418$
Darin KennedyColumbia Tigers (Bal)C209/21/1996No209 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm227,331$227,331$
Dave ZiskColumbia Tigers (Bal)LW202/20/1997No177 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm252,456$252,456$
David LombardiColumbia Tigers (Bal)LW209/13/1996No181 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm374,279$374,279$
David RotelliColumbia Tigers (Bal)RW2111/12/1995No213 Lbs6 ft8NoNoNo1Contrat d'EntréePro & Farm206,279$
Dean PenneyColumbia Tigers (Bal)C206/10/1997No193 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm239,296$239,296$
Derrick EllenColumbia Tigers (Bal)C241/21/1993No169 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm263,000$263,000$263,000$
Drew MangioneColumbia Tigers (Bal)LW216/13/1996No207 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm221,584$
Dustin TrivisonnoColumbia Tigers (Bal)D246/12/1993No198 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm403,000$403,000$403,000$
Garrett ResslerColumbia Tigers (Bal)C223/19/1995No212 Lbs6 ft7NoNoNo3Contrat d'EntréePro & Farm258,000$258,000$258,000$
Geoff StolbergColumbia Tigers (Bal)D215/31/1996No222 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm211,568$
Glenn AmmonColumbia Tigers (Bal)C272/14/1990No191 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm249,000$249,000$249,000$
Jayson SandrockColumbia Tigers (Bal)RW251/14/1992No206 Lbs6 ft8NoNoNo3Avec RestrictionPro & Farm266,000$266,000$266,000$
Jeff McNeaseColumbia Tigers (Bal)C2310/6/1993No163 Lbs5 ft8NoNoNo1Avec RestrictionPro & Farm227,438$
Joe PalazziColumbia Tigers (Bal)RW213/2/1996No185 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm256,545$
Jon LeuckColumbia Tigers (Bal)D225/1/1995No152 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm439,000$439,000$439,000$
Joshua GillingColumbia Tigers (Bal)RW222/16/1995No208 Lbs6 ft8NoNoNo3Contrat d'EntréePro & Farm364,000$364,000$364,000$
Justin McWrightColumbia Tigers (Bal)LW234/23/1994No175 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm271,000$271,000$271,000$
Koby GrattonColumbia Tigers (Bal)RW2010/27/1996No206 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm296,310$296,310$
Mark AbeleColumbia Tigers (Bal)LW245/25/1993No196 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm287,000$287,000$287,000$
Mason McFarlaneColumbia Tigers (Bal)D191/20/1998No182 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm239,025$239,025$239,025$
Nate MartinColumbia Tigers (Bal)D191/16/1998No200 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm249,409$249,409$249,409$
Owen BrowningColumbia Tigers (Bal)C2412/10/1992No196 Lbs6 ft8NoNoNo3Avec RestrictionPro & Farm370,000$370,000$370,000$
Philip ArciaColumbia Tigers (Bal)D2410/30/1992No175 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm345,000$345,000$
Raphael SanmiguelColumbia Tigers (Bal)D205/7/1997No181 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm233,049$233,049$233,049$
Richard VillalobosColumbia Tigers (Bal)RW336/1/1984No207 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm404,000$404,000$404,000$
Ryan FusilierColumbia Tigers (Bal)RW2211/27/1994No184 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm235,000$235,000$235,000$
Stuart ConboyColumbia Tigers (Bal)C222/28/1995No180 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm215,882$
Taylor LindellColumbia Tigers (Bal)D253/12/1992No153 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm454,000$454,000$454,000$
Tommy FontesColumbia Tigers (Bal)C202/19/1997No198 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm320,281$320,281$
Trevor CravenColumbia Tigers (Bal)RW2612/27/1990No188 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm455,000$455,000$455,000$
Ty BurtonColumbia Tigers (Bal)D194/24/1998No189 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm262,535$262,535$262,535$
Will JuncajColumbia Tigers (Bal)C2211/18/1994No187 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm355,000$355,000$355,000$
Will TabelingColumbia Tigers (Bal)D278/25/1989No243 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm422,000$422,000$422,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
4122.68193 Lbs6 ft32.32307,547$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alan PiccolaAndrew TuttonAlexander-Denis Roupe40122
2David LombardiTommy FontesTrevor Craven30122
3Dave ZiskWill JuncajRichard Villalobos20122
4Alan PiccolaOwen BrowningAndrew Tutton10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor LindellJon Leuck40122
2Philip ArciaClint Justiniano30122
3Will TabelingDustin Trivisonno20122
4Ty BurtonCory Pruss10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alan PiccolaAndrew TuttonAlexander-Denis Roupe60122
2David LombardiTommy FontesTrevor Craven40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor LindellJon Leuck60122
2Philip ArciaClint Justiniano40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alan PiccolaAndrew Tutton60122
2Alexander-Denis RoupeTrevor Craven40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor LindellJon Leuck60122
2Philip ArciaClint Justiniano40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Alan Piccola60122Taylor LindellJon Leuck60122
2Andrew Tutton40122Philip ArciaClint Justiniano40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alan PiccolaAndrew Tutton60122
2Alexander-Denis RoupeTrevor Craven40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor LindellJon Leuck60122
2Philip ArciaClint Justiniano40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alan PiccolaAndrew TuttonAlexander-Denis RoupeTaylor LindellJon Leuck
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alan PiccolaAndrew TuttonAlexander-Denis RoupeTaylor LindellJon Leuck
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Richard Villalobos, Dave Zisk, Will JuncajRichard Villalobos, Dave ZiskWill Juncaj
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Will Tabeling, Dustin Trivisonno, Ty BurtonWill TabelingDustin Trivisonno, Ty Burton
Tirs de Pénalité
Alan Piccola, Andrew Tutton, Alexander-Denis Roupe, Trevor Craven, David Lombardi
Gardien
#1 : Joshua Gilling, #2 : Jayson Sandrock


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
1Arlington Americans1010000036-31010000036-30000000000000.0003690088703954566133441017300.00%5180.00%06113246.21%4711839.83%449148.35%127651195812263
2Lowell Plainsmen10010000330100100003300000000000010.50035800887027545661322154184250.00%2150.00%06113246.21%4711839.83%449148.35%127651195812263
3Niagara Falls Wings11000000312000000000001100000031221.000369008870255456613296222100.00%10100.00%06113246.21%4711839.83%449148.35%127651195812263
Since Last GM Reset64200000232034121000017161230-1000064280.6672340630088701745456613178512912018633.33%12375.00%06113246.21%4711839.83%449148.35%127651195812263
Total622200002320341210000171612101000064260.5002340630088701745456613178512912018633.33%12375.00%06113246.21%4711839.83%449148.35%127651195812263
6Virginia Beach Mariners1010000045-11010000045-10000000000000.00048120088702954566133197185120.00%110.00%06113246.21%4711839.83%449148.35%127651195812263
Vs Conference532000002017331200000141312200000064260.6002035550088701475456613156362510214428.57%10280.00%06113246.21%4711839.83%449148.35%127651195812263
Vs Division422000001716131200000141311100000033040.500172946008870122545661312730238013430.77%9277.78%06113246.21%4711839.83%449148.35%127651195812263
9Williamsburg Dragons210100001055110000007251001000033030.75010152500887054545661362176455360.00%30100.00%06113246.21%4711839.83%449148.35%127651195812263

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
66L1234063174178512912000
Tous les Matchs
GPWLOTWOTL TGFGA
6220022320
Matchs locaux
GPWLOTWOTL TGFGA
4120011716
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
21000164
Derniers 10 Matchs
WLOTWOTL T
22002
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%12375.00%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
54566138870
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
6113246.21%4711839.83%449148.35%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
127651195812263


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
4 - 2017-12-1215Arlington Americans6Columbia Tigers3LSommaire du Match
6 - 2017-12-1430Lowell Plainsmen3Columbia Tigers3TXSommaire du Match
8 - 2017-12-1643Columbia Tigers3Niagara Falls Wings1WSommaire du Match
10 - 2017-12-1856Williamsburg Dragons2Columbia Tigers7WSommaire du Match
14 - 2017-12-2272Columbia Tigers3Williamsburg Dragons3TXSommaire du Match
16 - 2017-12-2483Virginia Beach Mariners5Columbia Tigers4LSommaire du Match
21 - 2017-12-29109Harrisburg Rockets-Columbia Tigers-
23 - 2017-12-31122Columbia Tigers-Reading Patriots-
25 - 2018-01-02136Reading Patriots-Columbia Tigers-
26 - 2018-01-03141Columbia Tigers-Charlottesville Robins-
31 - 2018-01-08163Reading Patriots-Columbia Tigers-
33 - 2018-01-10176Columbia Tigers-Dayton Clippers-
35 - 2018-01-12187Columbia Tigers-Arlington Americans-
37 - 2018-01-14195Lafayette Racers-Columbia Tigers-
39 - 2018-01-16210Columbia Tigers-Reading Patriots-
40 - 2018-01-17221Augusta Wolves-Columbia Tigers-
43 - 2018-01-20234Columbia Tigers-Williamsburg Dragons-
46 - 2018-01-23249Canadaigua Lakers-Columbia Tigers-
48 - 2018-01-25263Columbia Tigers-Scarborough Royals-
50 - 2018-01-27277Virginia Beach Mariners-Columbia Tigers-
52 - 2018-01-29290Columbia Tigers-Canadaigua Lakers-
54 - 2018-01-31300Columbia Tigers-Troy Indians-
57 - 2018-02-03311Elmira Roadrunners-Columbia Tigers-
59 - 2018-02-05323Columbia Tigers-Arlington Americans-
61 - 2018-02-07336Bowling Green Red Devils-Columbia Tigers-
63 - 2018-02-09347Columbia Tigers-Watertown Bulls-
65 - 2018-02-11361Columbia Tigers-Lafayette Racers-
67 - 2018-02-13368Lafayette Racers-Columbia Tigers-
69 - 2018-02-15382Columbia Tigers-Johnstown Yellow Jackets-
72 - 2018-02-18396Johnstown Yellow Jackets-Columbia Tigers-
76 - 2018-02-22416Pawtucket Reds-Columbia Tigers-
78 - 2018-02-24424Columbia Tigers-Niagara Falls Wings-
81 - 2018-02-27439Longueuil Voyageurs-Columbia Tigers-
85 - 2018-03-03464Arlington Americans-Columbia Tigers-
87 - 2018-03-05476Columbia Tigers-Beverly Jr. Eagles-
89 - 2018-03-07489Columbia Tigers-Amherst Winterhawks-
92 - 2018-03-10500Charlottesville Robins-Columbia Tigers-
94 - 2018-03-12514Columbia Tigers-Montpelier Cougars-
96 - 2018-03-14527Cape Breton Kings-Columbia Tigers-
99 - 2018-03-17537Columbia Tigers-Charlottesville Robins-
101 - 2018-03-19552Charlottesville Robins-Columbia Tigers-
103 - 2018-03-21559Columbia Tigers-Bowling Green Red Devils-
106 - 2018-03-24577Niagara Falls Wings-Columbia Tigers-
107 - 2018-03-25585Columbia Tigers-Charlesbourg Cavaliers-
110 - 2018-03-28601Williamsburg Dragons-Columbia Tigers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
117 - 2018-04-04629Dayton Clippers-Columbia Tigers-
121 - 2018-04-08650Scarborough Royals-Columbia Tigers-
123 - 2018-04-10666Columbia Tigers-Harrisburg Rockets-
125 - 2018-04-12675Columbia Tigers-Napean Spartans-
126 - 2018-04-13681Lowell Plainsmen-Columbia Tigers-
127 - 2018-04-14685Columbia Tigers-Virginia Beach Mariners-
131 - 2018-04-18707Harrisburg Rockets-Columbia Tigers-
132 - 2018-04-19712Columbia Tigers-Virginia Beach Mariners-
134 - 2018-04-21718Columbia Tigers-Harrisburg Rockets-



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
23 0 - 0.00% 0$0$3000110

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,152,352$ 3,152,352$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
383,246$ 23,010$ 383,246$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 120 23,010$ 2,761,200$




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
07-0880264154400245275-3040132131200121139-1840132023200124136-12572453926373270947742308702833751222328820120716702274318.94%2315377.06%11857167751.10%849171449.53%668127952.23%150267815688351770882
08-098039277340027125021401715512001321311402212222001391192085271445716047599943245073685683820242782547117042094923.44%1703579.41%4850169350.21%807166648.44%591125247.20%1527709330117651769881
09-1080343170800294290440181810300149154-54016136050014513697529448077403661171110268285994085429266985164416521883418.09%1974975.13%17772174544.24%847190744.42%615137844.63%1522731519127361721836
10-118034307540028727314402110522001461202640132023200141153-127528745874521701061065264785292983828245578547518412125325.00%1863481.72%3973188351.67%826163850.43%604118950.80%163781515087951706850
11-1280303346700287309-2240151615300146155-940151731400141154-1364287469756219892916267793891180226266993231916351933920.21%1473377.55%3886190846.44%813184044.18%562124845.03%161180315637691666852
12-1380451974500355271844019963300185142434026101120017012941973555729272112312010842907106397884026272090837916491995929.65%1613379.50%5998198650.25%989186153.14%649130149.88%166088716067711583792
13-1480264743000292324-3240112513000148174-2640152230000144150-65629248077252100959432756111184678514276588147614481973517.77%2185375.69%9952191149.82%1005199050.50%653124052.66%162185416107751594799
14-1580243775700308360-5240112223200152191-3940131552500156169-135530850781510981099652998105997394521301794972715942224620.72%2445477.87%21094204053.63%1070203852.50%723137652.54%167690916387581535774
15-1680323780300299328-2940152320000141162-2140171460300158166-872299492791209911387029241076998832182968100846716112024120.30%2174479.72%4897199145.05%1024210648.62%610129946.96%164687916417621557780
16-1780333462500281288-740151831300140151-11401816312001411374722814807612080991002262689382289120267990362615722423916.12%2435378.19%8958190850.21%939184750.84%609125048.72%165590716637641525742
1001622200002320341210000171612101000064262340630088701745456613178512912018633.33%12375.00%06113246.21%4711839.83%449148.35%127651195812263
Total Saison Régulière8063253386432470029422988-464041561793019200014771535-58402169159341327001465145312714294248157757191488710529713227149934391428437227268758913582016496210944421.05%202644478.08%6692981887449.26%92161872549.22%63281290349.04%1619082422141310792165538255