Canadaigua Lakers

GP: 7 | W: 3 | L: 4 | T: 0 | P: 6
GF: 9 | GA: 9 | PP%: 13.33% | PK%: 72.00%
DG: Buredemann Ltd. | Morale : 49 | Moyenne d'Équipe : 63
Prochain matchs vs Bowling Green Red Devils
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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
1Ryan KabelX99.50857678718080797816371607089534153680
2Jonathon OlquinX100.003620997671798089535784287099874753670
3Ronald WymanX100.008927735881536571827272497599984552660
4Scott PospisilX100.009942526177627756923959885099994652650
5Craig StahlX100.009957416181506568716267555799992752640
6Vernon AsherX100.00292996677746563467283397079562453630
7Raymond HamonX100.005015996878765477615661327089905552610
8Ross NiederX100.00375996674627949624575517099653049600
9Will McCarthyX100.005840577169777548246958537081495252600
10Andrew SmythX100.003825727567775265245945527099793852590
11Greg BarschX100.0011995584526368326863984999991352680
12Ty GoldthwaitX100.009950446177566961204744753799992052680
13Keith MardirosianX100.005542587871777872666077597099836352680
14Tom WakeX100.00101995480163495817990828399993452660
15Alton KesichX100.009958426776847360223954556199994052660
16Tony CrandallX100.00172996780715750454261865099994752650
17Samuel ManigaultX100.004012996378797560586067497099895752630
18Austin LedayX100.004627997777515677184067645085633952620
Rayé
1Brent ClerkleyX100.006240738058766679295149257087995649600
2Stephen VanstoneX100.007725807071756730417144675083607549590
3Rob WoodhamX100.005525746671816453504566617069505549590
4Carey EmersonX100.004040946959717263534981387094376449590
5Cole HungerfordX100.004620996862797848354972387080665249580
6Kurtis MattieXX100.005740657258766856624275337088786649580
7Harrison WadeX100.005242537468826761475174477067695949610
8Brent LeibelX100.003521996074855741846673517098595149600
9Adam CrespoX100.00523372637811166737353705887886549580
10Aaron SonnierX100.001135896378415556475942734693554649580
11Nate LangleyX100.003712846274699053761732617072855949580
12Cris LittleX100.004332716769688252675372287090345849550
MOYENNE D'ÉQUIPE99.98522979677366666251556456649176475162
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
1Conor Phillips100.00837063716988688883677295504553740
2Joe Applin100.00898079717792567069657099774152740
Rayé
1Collin Lee100.00695480897665868552607878756149710
2Shelby Kempler100.00758774797376516963646499764749700
3Bryan Killoran100.00706477847472656562627396764349700
MOYENNE D'ÉQUIPE100.0077717579747965756664719371475072
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Resler69837376547466USA411255,000$


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
1Jonathon OlquinCanadaigua Lakers (Roc)LW783113006644111718.18%415722.482024130002152240.00%20100011.4000000301
2Ryan KabelCanadaigua Lakers (Roc)RW62465006101731511.76%513923.300000120000130020.00%3060000.8600000000
3Dylan OhlerRochester LakersC624632012151131018.18%414924.930110120000150031.44%19455000.8000000001
4Vernon AsherCanadaigua Lakers (Roc)C41341000681912.50%07518.8601104000031054.17%7210001.0600000000
5Ronald WymanCanadaigua Lakers (Roc)RW7112000157167116.25%913819.730001110000120060.00%1021000.2900000000
6Greg BarschCanadaigua Lakers (Roc)D7022-3200127240.00%1015321.90000113000117000.00%019000.2600000000
7Ty GoldthwaitCanadaigua Lakers (Roc)D702221809123200.00%714821.28000111000013000.00%006000.2700000000
8Rob WoodhamCanadaigua Lakers (Roc)LW6202-3205101221016.67%09816.49000060000000100.00%140000.4000000001
9Will McCarthyCanadaigua Lakers (Roc)C5022-440562030.00%67715.4900000000030034.38%3221000.5200000000
10Craig StahlCanadaigua Lakers (Roc)RW7101-2409272414.29%1598.54000000001100100.00%201000.3300000000
11Alton KesichCanadaigua Lakers (Roc)D7011-21151452010.00%612718.24000010000014000.00%003000.1600010001
12Tony CrandallCanadaigua Lakers (Roc)D7011-100071000.00%58111.710000000004000.00%012000.2400000000
13Austin LedayCanadaigua Lakers (Roc)D7011-100012310.00%1476.730000000002000.00%001000.4200000000
14Ross NiederCanadaigua Lakers (Roc)C6011-5003612140.00%59515.9400006000020051.85%5421000.2100000000
15Samuel ManigaultCanadaigua Lakers (Roc)D7011-200031000.00%17811.150000000008000.00%001000.2600000000
16Raymond HamonCanadaigua Lakers (Roc)LW1011000031130.00%01818.15000000000100100.00%100001.1000000000
17Tom WakeCanadaigua Lakers (Roc)D1000-100010000.00%21010.400000000000000.00%001000.0000000000
18Scott PospisilCanadaigua Lakers (Roc)RW7000-4401586210.00%19513.6500000000010050.00%611000.0000000000
19Keith MardirosianCanadaigua Lakers (Roc)D7000-1606515960.00%1016123.12000314000316000.00%012000.0000000000
20Andrew SmythCanadaigua Lakers (Roc)LW7000-500377370.00%510915.6600003000150066.67%331000.0000000000
21Harrison WadeCanadaigua Lakers (Roc)D6000-120102300.00%1376.280000000000000.00%010000.0000000000
Stats d'équipe Total ou en Moyenne125172744-21555109132176551069.66%83206216.502241012200081543239.53%4254036010.4300010304
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
1Conor PhillipsCanadaigua Lakers (Roc)73400.8993.67376002322899000.000070020
2Joe ApplinCanadaigua Lakers (Roc)10000.8424.0944003195000.000007000
Stats d'équipe Total ou en Moyenne83400.8953.714200026247104000.000077020


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
Aaron SonnierCanadaigua Lakers (Roc)D295/9/1988No210 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm200,000$200,000$
Adam CrespoCanadaigua Lakers (Roc)D3310/17/1983No211 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm200,000$200,000$
Alton KesichCanadaigua Lakers (Roc)D2610/18/1990No197 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm435,000$435,000$435,000$
Andrew SmythCanadaigua Lakers (Roc)LW219/3/1995No175 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm213,079$
Austin LedayCanadaigua Lakers (Roc)D244/8/1993No182 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm225,000$
Brent ClerkleyCanadaigua Lakers (Roc)RW2011/11/1996No170 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm286,568$286,568$286,568$
Brent LeibelCanadaigua Lakers (Roc)D223/13/1995No234 Lbs6 ft7NoNoNo1Contrat d'EntréePro & Farm219,286$
Bryan KilloranCanadaigua Lakers (Roc)D276/24/1989No225 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm200,000$
Carey EmersonCanadaigua Lakers (Roc)RW1910/22/1997No193 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm249,897$249,897$249,897$
Cole HungerfordCanadaigua Lakers (Roc)LW208/8/1996No192 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm224,908$224,908$
Collin LeeCanadaigua Lakers (Roc)C303/9/1987No244 Lbs6 ft8NoNoNo3Sans RestrictionPro & Farm273,000$273,000$273,000$
Conor PhillipsCanadaigua Lakers (Roc)LW274/13/1990No171 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm371,000$371,000$371,000$
Craig StahlCanadaigua Lakers (Roc)RW3410/1/1982No225 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm361,000$361,000$361,000$
Cris LittleCanadaigua Lakers (Roc)D217/1/1995No205 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm207,529$
Greg BarschCanadaigua Lakers (Roc)D295/19/1988No248 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm465,000$465,000$465,000$
Harrison WadeCanadaigua Lakers (Roc)D211/30/1996No189 Lbs6 ft6NoNoNo1Contrat d'EntréePro & Farm234,679$
Joe ApplinCanadaigua Lakers (Roc)LW251/10/1992No166 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm371,000$371,000$371,000$
Jonathon OlquinCanadaigua Lakers (Roc)LW202/21/1997No193 Lbs6 ft8NoNoNo2Contrat d'EntréePro & Farm250,898$250,898$
Keith MardirosianCanadaigua Lakers (Roc)D219/3/1995No178 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm353,600$
Kurtis MattieCanadaigua Lakers (Roc)C/LW2012/23/1996No187 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm229,885$229,885$
Nate LangleyCanadaigua Lakers (Roc)D229/2/1994No207 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm246,000$246,000$246,000$
Raymond HamonCanadaigua Lakers (Roc)LW219/3/1995No214 Lbs6 ft8NoNoNo1Contrat d'EntréePro & Farm224,293$
Rob WoodhamCanadaigua Lakers (Roc)LW225/17/1995No201 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm202,340$
Ronald WymanCanadaigua Lakers (Roc)RW326/27/1984No232 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm446,000$446,000$446,000$
Ross NiederCanadaigua Lakers (Roc)C2310/8/1993No190 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm253,000$253,000$253,000$
Ryan KabelCanadaigua Lakers (Roc)RW213/25/1996No216 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm455,000$
Samuel ManigaultCanadaigua Lakers (Roc)D225/22/1995No210 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm295,000$295,000$295,000$
Scott PospisilCanadaigua Lakers (Roc)RW281/9/1989No213 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm417,000$417,000$417,000$
Shelby KemplerCanadaigua Lakers (Roc)LW289/10/1988No204 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm250,000$
Stephen VanstoneCanadaigua Lakers (Roc)C231/20/1994No185 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm267,000$267,000$267,000$
Tom WakeCanadaigua Lakers (Roc)D3311/13/1983No235 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm398,000$398,000$398,000$
Tony CrandallCanadaigua Lakers (Roc)D242/22/1993No210 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm364,100$
Ty GoldthwaitCanadaigua Lakers (Roc)D296/1/1988No214 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm415,000$
Vernon AsherCanadaigua Lakers (Roc)C244/30/1993No205 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm330,000$330,000$330,000$
Will McCarthyCanadaigua Lakers (Roc)C192/15/1998No224 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm242,576$242,576$242,576$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3524.57204 Lbs6 ft32.11296,475$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathon OlquinRyan Kabel40122
2Raymond HamonVernon AsherRonald Wyman30122
3Andrew SmythWill McCarthyCraig Stahl20122
4Ryan KabelScott Pospisil10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ty GoldthwaitKeith Mardirosian40122
2Greg BarschAlton Kesich30122
3Tom WakeTony Crandall20122
4Samuel ManigaultAustin Leday10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathon OlquinRyan Kabel60122
2Raymond HamonVernon AsherRonald Wyman40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ty GoldthwaitKeith Mardirosian60122
2Greg BarschAlton Kesich40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Kabel60122
2Jonathon OlquinRonald Wyman40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ty GoldthwaitKeith Mardirosian60122
2Greg BarschAlton Kesich40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Ty GoldthwaitKeith Mardirosian60122
2Ryan Kabel40122Greg BarschAlton Kesich40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Kabel60122
2Jonathon OlquinRonald Wyman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ty GoldthwaitKeith Mardirosian60122
2Greg BarschAlton Kesich40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathon OlquinRyan KabelTy GoldthwaitKeith Mardirosian
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jonathon OlquinRyan KabelTy GoldthwaitKeith Mardirosian
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Craig Stahl, Scott Pospisil, Will McCarthyCraig Stahl, Scott PospisilWill McCarthy
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tom Wake, Tony Crandall, Samuel ManigaultTom WakeTony Crandall, Samuel Manigault
Tirs de Pénalité
, Ryan Kabel, Jonathon Olquin, Ronald Wyman, Craig Stahl
Gardien
#1 : Conor Phillips, #2 : Joe Applin


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
1Bowling Green Red Devils21100000770110000004221010000035-220.50071017004391595354681852916275120.00%8275.00%05012839.06%7819340.41%4010438.46%128631556813767
2Dayton Clippers10001000211000000000001000100021121.0002240043911153546811911622200.00%30100.00%05012839.06%7819340.41%4010438.46%128631556813767
3Johnstown Yellow Jackets1010000017-6000000000001010000017-600.0001230043912153546813091115200.00%3233.33%05012839.06%7819340.41%4010438.46%128631556813767
4Niagara Falls Wings11000000321110000003210000000000021.0003580043912453546813616101811100.00%5180.00%05012839.06%7819340.41%4010438.46%128631556813767
5Scarborough Royals2020000049-51010000025-31010000024-200.000481200439161535468177181227500.00%6266.67%05012839.06%7819340.41%4010438.46%128631556813767
Since Last GM Reset724010001726-93210000099040301000817-960.4291727440043911765354681247835510915213.33%25772.00%05012839.06%7819340.41%4010438.46%128631556813767
Total724010001726-93210000099040301000817-960.4291727440043911765354681247835510915213.33%25772.00%05012839.06%7819340.41%4010438.46%128631556813767
Vs Conference724010001726-93210000099040301000817-960.4291727440043911765354681247835510915213.33%25772.00%05012839.06%7819340.41%4010438.46%128631556813767
Vs Division724010001726-93210000099040301000817-960.4291727440043911765354681247835510915213.33%25772.00%05012839.06%7819340.41%4010438.46%128631556813767

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76W1172744176247835510900
Tous les Matchs
GPWLOTWOTL TGFGA
7241001726
Matchs locaux
GPWLOTWOTL TGFGA
32100099
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
403100817
Derniers 10 Matchs
WLOTWOTL T
24100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
15213.33%25772.00%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
53546814391
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
5012839.06%7819340.41%4010438.46%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
128631556813767


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
2 - 2017-12-108Canadaigua Lakers3Bowling Green Red Devils5LSommaire du Match
4 - 2017-12-1217Canadaigua Lakers1Johnstown Yellow Jackets7LSommaire du Match
5 - 2017-12-1322Canadaigua Lakers2Dayton Clippers1WXSommaire du Match
6 - 2017-12-1429Niagara Falls Wings2Canadaigua Lakers3WSommaire du Match
10 - 2017-12-1853Scarborough Royals5Canadaigua Lakers2LSommaire du Match
14 - 2017-12-2274Canadaigua Lakers2Scarborough Royals4LSommaire du Match
16 - 2017-12-2479Bowling Green Red Devils2Canadaigua Lakers4WSommaire du Match
19 - 2017-12-2799Johnstown Yellow Jackets-Canadaigua Lakers-
21 - 2017-12-29114Dayton Clippers-Canadaigua Lakers-
25 - 2018-01-02139Lafayette Racers-Canadaigua Lakers-
29 - 2018-01-06152Canadaigua Lakers-Lafayette Racers-
31 - 2018-01-08165Montpelier Cougars-Canadaigua Lakers-
34 - 2018-01-11180Canadaigua Lakers-Williamsburg Dragons-
36 - 2018-01-13192Dayton Clippers-Canadaigua Lakers-
38 - 2018-01-15205Canadaigua Lakers-Augusta Wolves-
40 - 2018-01-17218Canadaigua Lakers-Virginia Beach Mariners-
42 - 2018-01-19231Charlottesville Robins-Canadaigua Lakers-
44 - 2018-01-21237Canadaigua Lakers-Napean Spartans-
46 - 2018-01-23249Canadaigua Lakers-Columbia Tigers-
48 - 2018-01-25264Elmira Roadrunners-Canadaigua Lakers-
50 - 2018-01-27275Canadaigua Lakers-Troy Indians-
52 - 2018-01-29290Columbia Tigers-Canadaigua Lakers-
55 - 2018-02-01305Arlington Americans-Canadaigua Lakers-
59 - 2018-02-05327Canadaigua Lakers-Longueuil Voyageurs-
61 - 2018-02-07337Virginia Beach Mariners-Canadaigua Lakers-
64 - 2018-02-10354Reading Patriots-Canadaigua Lakers-
66 - 2018-02-12367Canadaigua Lakers-Bowling Green Red Devils-
68 - 2018-02-14373Canadaigua Lakers-Charlottesville Robins-
70 - 2018-02-16385Niagara Falls Wings-Canadaigua Lakers-
75 - 2018-02-21409Bowling Green Red Devils-Canadaigua Lakers-
80 - 2018-02-26435Harrisburg Rockets-Canadaigua Lakers-
83 - 2018-03-01454Canadaigua Lakers-Arlington Americans-
85 - 2018-03-03461Cape Breton Kings-Canadaigua Lakers-
88 - 2018-03-06479Canadaigua Lakers-Niagara Falls Wings-
89 - 2018-03-07488Williamsburg Dragons-Canadaigua Lakers-
92 - 2018-03-10501Canadaigua Lakers-Niagara Falls Wings-
94 - 2018-03-12512Canadaigua Lakers-Reading Patriots-
95 - 2018-03-13520Longueuil Voyageurs-Canadaigua Lakers-
99 - 2018-03-17539Canadaigua Lakers-Lafayette Racers-
100 - 2018-03-18549Beverly Jr. Eagles-Canadaigua Lakers-
103 - 2018-03-21564Canadaigua Lakers-Johnstown Yellow Jackets-
105 - 2018-03-23572Scarborough Royals-Canadaigua Lakers-
106 - 2018-03-24579Canadaigua Lakers-Scarborough Royals-
108 - 2018-03-26594Canadaigua Lakers-Lowell Plainsmen-
110 - 2018-03-28602Canadaigua Lakers-Pawtucket Reds-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
114 - 2018-04-01614Canadaigua Lakers-Harrisburg Rockets-
115 - 2018-04-02619Amherst Winterhawks-Canadaigua Lakers-
118 - 2018-04-05637Lafayette Racers-Canadaigua Lakers-
120 - 2018-04-07647Canadaigua Lakers-Dayton Clippers-
123 - 2018-04-10663Watertown Bulls-Canadaigua Lakers-
125 - 2018-04-12672Canadaigua Lakers-Dayton Clippers-
128 - 2018-04-15690Canadaigua Lakers-Charlesbourg Cavaliers-
130 - 2018-04-17700Montpelier Cougars-Canadaigua Lakers-
134 - 2018-04-21719Johnstown Yellow Jackets-Canadaigua Lakers-



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
2,594,159$ 2,594,159$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
312,937$ 18,935$ 312,937$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 120 18,935$ 2,272,200$




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
07-08803231935002492445401715323001221184401516612001271261732494086570375937832527906844745322307784104517632404920.42%1883879.79%5883174850.51%840170949.15%604126147.90%155775015698291733855
08-09804028624002902405040231311200151115364017155120013912514862904907803482107992248881384980224235380957016292225725.68%1853780.00%5863171050.47%863168751.16%620122850.49%1577749340018131756884
09-1080352972700247229184015173140012612244020124130012110714772473886351458871002226466776581418229474971213912065024.27%2124479.25%9840160152.47%810159350.85%629123650.89%1472663527228181828896
10-11802533116500277294-1740131393200136139-340122023300141155-14612774597363171961046257175588989136246684348014501915026.18%1864078.49%4989183953.78%879175949.97%603117551.32%154072515618191771889
11-1280303385400270282-1240131843200128145-17401715422001421375682704367064268105925242373886178242246183046914381685432.14%2224977.93%4885170351.97%915179750.92%588113951.62%149869816058321750856
12-1380313294400279292-13401913422001471341340121952200132158-267127946274111861078242770104986383325259985067817961904925.79%2997076.59%71050191354.89%1099197455.67%626122151.27%161480616018131645808
13-14802835114200298335-3740151491100154157-340132123100144178-346729850280010979210543005111098887928286095752518052084622.12%2264878.76%31069212850.23%1026210248.81%636134347.36%162184916567921588771
14-1580283478300327347-2040161733100158166-840121745200169181-126332753986610111111978311611471000951183137109556817692165324.54%2164877.78%7941207045.46%1031226345.56%586139242.10%162188217327651494729
15-1680214791200269334-6540102441100136171-3540112350100133163-3051269446715207310590128781085958822132945101547816832113516.59%1983781.31%51017202650.20%1067208051.30%649125651.67%164085316307671578797
16-1780293576300273278-5401714441001301181240122132200143160-1765273432705228198886250283283780033260979756814682486225.00%2335675.97%3783184442.46%860199443.13%489119640.89%156578016727851621816
1001724010001726-93210000099040301000817-961727440043911765354681247835510915213.33%25772.00%05012839.06%7819340.41%4010438.46%128631556813767
Total Saison Régulière8073013418442390027962901-105403160159442119001397139434041411824021200013991507-108688279645897385181780610049444226720915589088387270262788812614816301211550723.97%219047478.36%5293701871050.08%94681915149.44%60701255148.36%1583878232185811106169088374