Snipers

GP: 18 | W: 10 | L: 5 | T: 2 | P: 23
GF: 67 | GA: 58 | PP%: 13.45% | PK%: 78.41%
DG: Farlou Ferland | Morale : 55 | Moyenne d'Équipe : 64
Prochain matchs #124 vs Chiefs
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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
1Mike HoughX100.006852696774717376687574666859663360680
2Kevin MillerX100.005639846773767970677571786755604660680
3Bobby Smith (A)X100.00574773617869736964686680659094160680
4Todd KrygierX100.007552757070757375677571686641524760670
5Rob ZamunerX100.006550777277777867647373797030407560670
6Alexandre Daigle (R)X100.005644747462757278617776587535358860660
7Bob KudelskiX100.006348766574737670657164776245444149650
8Dave ChyzowskiX100.007360606675676863606564726241439060620
9Brian LawtonX100.006353646371636465637070666752484560620
10Sean ProngerX100.006050756876656663596563686028349660610
11Mike Knuble (R)X100.005646716778707059556259685626359760590
12Rene Corbet (R)X100.005648647072686858566357675429299660590
13Mikhail Tatarinov (A)X100.006145776574737375667864825758615460680
14Chris Dahlquist (C)X100.006243856072838259566446824570772460670
15Roger JohanssonX100.007151736776727264706560805858446160660
16Bill HoulderX100.007049756376777865586460775551595960660
17Brad ShawX100.006748806772737561606852795058643861660
18Jim KyteX100.007368536179677154525642814063654162640
Rayé
1Jan ErixonX100.006035966472747371646863856052672232670
2Wayne PresleyX100.006255666871727571667270656837474832650
3Evgeny DavydovX100.006748786871707270656674687041355432640
4Paul KruseX100.007572416774646759576661755831318332610
5Ben HankinsonX100.006661606876666762596463746229297432610
6Viktor GordioukX100.005245747369666664586665596431288232600
7Martin Lapointe (R)X100.006056626674636362656264676427279832590
8Grant LedyardX100.005440835875747360576151815069741832650
9Craig WolaninX100.007960676578777856525856745352575932650
10Brian GlynnX100.006848816667767852516058815637446232640
MOYENNE D'ÉQUIPE100.00645072667371726561676373604650585064
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
1Geoff Sarjeant100.00697276737556696663726838427560630
2Chad Erickson100.00687271716937606855655826358232570
Rayé
1Robb Stauber100.00717673727168818176717251546055690
MOYENNE D'ÉQUIPE100.0069737372725470726569663844724963
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lou Lamoriello75756981828265USA52295,000$


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
1Bob KudelskiSnipers (EDM)C181011211380285050162920.00%335719.8924615910000300053.32%48200001.1700000232
2Alexandre DaigleSnipers (EDM)RW18813211260183758223313.79%237320.7414515980000250345.10%5100001.1300000112
3Rob ZamunerSnipers (EDM)LW18513181360333449174110.20%434919.392241398000000042.86%3500001.0300000022
4Mikhail TatarinovSnipers (EDM)D1841317520104235172711.43%2239421.942572295000018000.00%000000.8600000110
5Kevin MillerSnipers (EDM)RW1811617060112659155718.64%636020.0352722920002763253.13%3200000.9400000212
6Bobby SmithSnipers (EDM)C186713-1100355248113112.50%335419.7023521920001601053.00%48300000.7300000210
7Jim KyteSnipers (EDM)D1829115441058111971410.53%1237120.63123159100006100.00%000000.5900002000
8Rene CorbetSnipers (EDM)LW1828100602920222219.09%132518.060335910000390037.04%2700000.6200000001
9Chris DahlquistSnipers (EDM)D18369110012152461512.50%2642323.541121596000066100.00%000000.4200000101
10Brian LawtonSnipers (EDM)C18538010019313271515.63%119610.9200000000001054.15%20500000.8100000100
11Roger JohanssonSnipers (EDM)D180776220312015240.00%1330416.90000110000065000.00%000000.4600000110
12Bill HoulderSnipers (EDM)D1807722804519318160.00%1940222.390222291000054000.00%000000.3500000000
13Todd KrygierSnipers (EDM)LW18437012013254092910.00%422712.61000040001260160.00%2500000.6200000011
14Sean ProngerSnipers (EDM)C18145-10021615576.67%21176.5000000000151049.61%12900000.8500000000
15Dave ChyzowskiSnipers (EDM)LW1823501201118181411.11%11317.33000211000000045.16%3100000.7600000000
16Mike KnubleSnipers (EDM)RW181230203714687.14%020011.1100002000000066.67%600000.3000000000
17Mike HoughSnipers (EDM)RW18303-1608171731717.65%01096.1100000000002071.43%700000.5500000000
18Brad ShawSnipers (EDM)D18033513511167190.00%1328615.9000003000163000.00%000000.2100001000
Stats d'équipe Total ou en Moyenne32467118185592031537745655315537712.12%132528616.32162844168972000654210652.28%151300000.7000003111111
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
1Geoff SarjeantSnipers (EDM)115320.8813.1762500332770100.0000108200
2Robb StauberSnipers (EDM)85300.8683.2246620251900000.0000810000
Stats d'équipe Total ou en Moyenne1910620.8763.19109120584670100.00001818200


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexandre DaigleSnipers (EDM)RW192001-08-11 9:18:49 AMYes200 Lbs6 ft0NoNoNo3Pro & Farm250,000$25,000$19,485$No250,000$250,000$
Ben HankinsonSnipers (EDM)RW241996-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo1Pro & Farm417,000$41,700$32,501$No
Bill HoulderSnipers (EDM)D261994-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo3Pro & Farm450,000$45,000$35,074$No450,000$450,000$
Bob KudelskiSnipers (EDM)C291991-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo3Pro & Farm511,000$51,100$39,828$No511,000$511,000$
Bobby SmithSnipers (EDM)C351985-02-09 9:08:37 PMNo210 Lbs6 ft4NoNoNo3Pro & Farm694,000$69,400$54,091$No694,000$694,000$
Brad ShawSnipers (EDM)D291991-02-09 9:08:37 PMNo190 Lbs6 ft0NoNoNo3Pro & Farm675,000$67,500$52,610$No675,000$675,000$
Brian GlynnSnipers (EDM)D261994-02-09 9:08:37 PMNo165 Lbs5 ft10NoNoNo1Pro & Farm370,000$37,000$28,838$No
Brian LawtonSnipers (EDM)C281992-02-09 9:08:37 PMNo180 Lbs6 ft0NoNoNo3Pro & Farm410,000$41,000$31,956$No410,000$410,000$
Chad EricksonSnipers (EDM)G231997-02-09 9:08:37 PMNo176 Lbs5 ft9NoNoNo3Pro & Farm150,000$15,000$11,691$No150,000$150,000$
Chris DahlquistSnipers (EDM)D311989-02-09 9:08:37 PMNo195 Lbs6 ft1NoNoNo1Pro & Farm300,000$30,000$23,382$No
Craig WolaninSnipers (EDM)D261994-02-09 9:08:37 PMNo207 Lbs6 ft3NoNoNo3Pro & Farm543,000$54,300$42,322$No543,000$543,000$
Dave ChyzowskiSnipers (EDM)LW221998-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo3Pro & Farm386,000$38,600$30,085$No386,000$386,000$
Evgeny DavydovSnipers (EDM)LW271993-02-09 9:08:37 PMNo183 Lbs6 ft0NoNoNo2Pro & Farm575,000$57,500$44,816$No575,000$
Geoff SarjeantSnipers (EDM)G241996-02-09 9:08:37 PMNo180 Lbs5 ft9NoNoNo2Pro & Farm325,000$32,500$25,331$No325,000$
Grant LedyardSnipers (EDM)D321988-02-09 9:08:37 PMNo202 Lbs6 ft2NoNoNo1Pro & Farm425,000$42,500$33,125$No
Jan ErixonSnipers (EDM)LW311989-02-09 9:08:37 PMNo196 Lbs6 ft0NoNoNo2Pro & Farm495,000$49,500$38,581$No495,000$
Jim KyteSnipers (EDM)D291991-02-09 9:08:37 PMNo211 Lbs6 ft5NoNoNo1Pro & Farm620,000$62,000$48,324$No
Kevin MillerSnipers (EDM)RW281992-02-09 9:08:37 PMNo190 Lbs5 ft11NoNoNo1Pro & Farm435,000$43,500$33,904$No
Martin LapointeSnipers (EDM)RW202000-02-09 9:08:37 PMYes200 Lbs6 ft0NoNoNo2Pro & Farm500,000$50,000$38,971$No500,000$
Mike HoughSnipers (EDM)RW301990-02-09 9:08:37 PMNo192 Lbs6 ft1NoNoNo2Pro & Farm482,500$48,250$37,607$No482,500$
Mike KnubleSnipers (EDM)RW211999-02-09 9:08:37 PMYes215 Lbs6 ft3NoNoNo2Pro & Farm200,000$20,000$15,588$No200,000$
Mikhail TatarinovSnipers (EDM)D271993-02-09 9:08:37 PMNo195 Lbs6 ft0NoNoNo2Pro & Farm480,000$48,000$37,412$No480,000$
Paul KruseSnipers (EDM)LW231997-02-09 9:08:37 PMNo202 Lbs6 ft0NoNoNo1Pro & Farm200,000$20,000$15,588$No
Rene CorbetSnipers (EDM)LW202000-02-09 9:08:37 PMYes187 Lbs6 ft0NoNoNo2Pro & Farm285,000$28,500$22,213$No285,000$
Rob ZamunerSnipers (EDM)LW241996-02-09 9:08:37 PMNo203 Lbs6 ft3NoNoNo2Pro & Farm625,000$62,500$48,713$No625,000$
Robb StauberSnipers (EDM)G261994-02-09 9:08:37 PMNo170 Lbs6 ft0NoNoNo3Pro & Farm425,000$42,500$33,125$No425,000$425,000$
Roger JohanssonSnipers (EDM)D261994-02-09 9:08:37 PMNo193 Lbs6 ft4NoNoNo3Pro & Farm532,000$53,200$41,465$No532,000$532,000$
Sean ProngerSnipers (EDM)C211999-02-09 9:08:37 PMNo202 Lbs6 ft3NoNoNo2Pro & Farm300,000$30,000$23,382$No300,000$
Todd KrygierSnipers (EDM)LW281992-02-09 9:08:37 PMNo180 Lbs5 ft11NoNoNo2Pro & Farm475,000$47,500$37,022$No475,000$
Viktor GordioukSnipers (EDM)LW231997-02-09 9:08:37 PMNo178 Lbs5 ft10NoNoNo2Pro & Farm275,000$27,500$21,434$No275,000$
Wayne PresleySnipers (EDM)RW281992-02-09 9:08:37 PMNo180 Lbs5 ft11NoNoNo3Pro & Farm514,000$51,400$40,062$No514,000$514,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3126.00194 Lbs6 ft12.16429,823$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rob ZamunerBob KudelskiAlexandre Daigle35032
2Rene CorbetBobby SmithKevin Miller30032
3Todd KrygierBrian LawtonMike Knuble25032
4Dave ChyzowskiSean ProngerMike Hough10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jim KyteMikhail Tatarinov38032
2Chris DahlquistBill Houlder35032
3Brad ShawRoger Johansson27032
4Jim KyteMikhail Tatarinov0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rob ZamunerBob KudelskiAlexandre Daigle60005
2Rene CorbetBobby SmithKevin Miller40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jim KyteMikhail Tatarinov60005
2Chris DahlquistBill Houlder40005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Bobby SmithKevin Miller60050
2Todd KrygierRene Corbet40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brad ShawRoger Johansson51140
2Chris DahlquistBill Houlder49140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Bobby Smith52050Brad ShawRoger Johansson54050
2Todd Krygier48050Chris DahlquistBill Houlder46050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Rob ZamunerAlexandre Daigle53032
2Bobby SmithRene Corbet47032
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jim KyteMikhail Tatarinov54032
2Chris DahlquistBill Houlder46032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rob ZamunerBob KudelskiAlexandre DaigleJim KyteMikhail Tatarinov
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rob ZamunerBobby SmithKevin MillerJim KyteMikhail Tatarinov
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dave Chyzowski, Rob Zamuner, Alexandre DaigleDave Chyzowski, Rob ZamunerAlexandre Daigle
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mikhail Tatarinov, Roger Johansson, Chris DahlquistMikhail TatarinovRoger Johansson, Chris Dahlquist
Tirs de Pénalité
Alexandre Daigle, Rob Zamuner, Mike Hough, Kevin Miller, Brian Lawton
Gardien
#1 : Geoff Sarjeant, #2 : Chad Erickson


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
1As11000000835000000000001100000083521.000814220028182104217518618752434138112.50%10100.00%033665251.53%30156753.09%15429452.38%441296411141240122
2Banshees2110000046-2000000000002110000046-220.5004711002818210391751861875431518408112.50%9277.78%033665251.53%30156753.09%15429452.38%441296411141240122
3Canadiens11000000642110000006420000000000021.000612180028182103817518618752371014700.00%5420.00%033665251.53%30156753.09%15429452.38%441296411141240122
4Citadelles10010000220100100002200000000000010.5002460028182103017518618752586269111.11%3166.67%033665251.53%30156753.09%15429452.38%441296411141240122
5Harvard210100001275110000007251001000055030.750122234002818210671751861875531219371218.33%5340.00%033665251.53%30156753.09%15429452.38%441296411141240122
6Pacifiques de la route8520010031292422000001618-24300010015114110.688315182002818210254175186187521663103178541018.52%45784.44%033665251.53%30156753.09%15429452.38%441296411141240122
7Riverman21100000440110000003211010000012-120.50048120028182105017518618755716285417211.76%14192.86%033665251.53%30156753.09%15429452.38%441296411141240122
Total181052010067589852100003428610531010033303230.6396711818500281821055317518618754671322053771191613.45%881978.41%033665251.53%30156753.09%15429452.38%441296411141240122
9Wolves1010000003-3000000000001010000003-300.0000000028182103317518618752681715400.00%6183.33%033665251.53%30156753.09%15429452.38%441296411141240122
_Since Last GM Reset18125001006758985210000342861073-1010033303250.6946711818500281821055317518618754671322053771191613.45%881978.41%033665251.53%30156753.09%15429452.38%441296411141240122
_Vs Conference12740010043394532000001920-17420010024195150.6254373116002818210379175186187532390152260831315.66%66986.36%033665251.53%30156753.09%15429452.38%441296411141240122
_Vs Division10630010035332532000001920-15310010016133130.650355994002818210304175186187527379131232711216.90%59886.44%033665251.53%30156753.09%15429452.38%441296411141240122

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1823L16711818555346713220537700
Tous les Matchs
GPWLOTWOTL TGFGA
181050126758
Matchs locaux
GPWLOTWOTL TGFGA
8520013428
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
10530113330
Derniers 10 Matchs
WLOTWOTL T
64000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1191613.45%881978.41%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
17518618752818210
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
33665251.53%30156753.09%15429452.38%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
441296411141240122


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 - 2020-09-216Snipers5Harvard5TXSommaire du Match
2 - 2020-09-227Snipers4Pacifiques de la route5LXSommaire du Match
3 - 2020-09-2313Citadelles2Snipers2TXSommaire du Match
5 - 2020-09-2525Pacifiques de la route2Snipers3WSommaire du Match
6 - 2020-09-2631Snipers3Pacifiques de la route1WSommaire du Match
7 - 2020-09-2736Pacifiques de la route5Snipers6WSommaire du Match
9 - 2020-09-2944Snipers4Pacifiques de la route3WSommaire du Match
10 - 2020-09-3047Snipers1Riverman2LR2Sommaire du Match
11 - 2020-10-0154Riverman2Snipers3WSommaire du Match
13 - 2020-10-0364Pacifiques de la route4Snipers3LSommaire du Match
15 - 2020-10-0569Snipers0Banshees3LSommaire du Match
17 - 2020-10-0778Harvard2Snipers7WSommaire du Match
19 - 2020-10-0984Snipers4Banshees3WSommaire du Match
21 - 2020-10-1190Snipers0Wolves3LSommaire du Match
23 - 2020-10-1396Canadiens4Snipers6WSommaire du Match
25 - 2020-10-15105Snipers4Pacifiques de la route2WSommaire du Match
27 - 2020-10-17110Snipers8As3WSommaire du Match
29 - 2020-10-19117Pacifiques de la route7Snipers4LSommaire du Match
31 - 2020-10-21124Chiefs-Snipers-
33 - 2020-10-23134Snipers-Ailes Rouges-
35 - 2020-10-25139Banshees-Snipers-
37 - 2020-10-27149Wolves-Snipers-
39 - 2020-10-29154Snipers-Chiefs-
41 - 2020-10-31161Snipers-Pacifiques de la route-
42 - 2020-11-01167Canadiens-Snipers-
44 - 2020-11-03173Snipers-Canadiens-
46 - 2020-11-05182Harvard-Snipers-
47 - 2020-11-06190Ailes Rouges-Snipers-
49 - 2020-11-08196Snipers-As-
50 - 2020-11-09205Snipers-As-
52 - 2020-11-11208Citadelles-Snipers-
53 - 2020-11-12217Snipers-Harvard-
55 - 2020-11-14220Snipers-Riverman-
56 - 2020-11-15227Spoonman's-Snipers-
58 - 2020-11-17236Riverman-Snipers-
60 - 2020-11-19246Snipers-Chiefs-
61 - 2020-11-20249Riverman-Snipers-
62 - 2020-11-21260Snipers-Pacifiques de la route-
64 - 2020-11-23262Isotopes-Snipers-
66 - 2020-11-25274Snipers-Banshees-
67 - 2020-11-26279Canadiens-Snipers-
68 - 2020-11-27288As-Snipers-
70 - 2020-11-29290Snipers-Isotopes-
71 - 2020-11-30299Snipers-Spoonman's-
73 - 2020-12-02307Banshees-Snipers-
74 - 2020-12-03316Snipers-Banshees-
75 - 2020-12-04320Citadelles-Snipers-
77 - 2020-12-06329Snipers-Croque-Morts-
78 - 2020-12-07333Citadelles-Snipers-
79 - 2020-12-08344Harvard-Snipers-
80 - 2020-12-09350Snipers-Chiefs-
83 - 2020-12-12357Snipers-Riverman-
84 - 2020-12-13364Spoonman's-Snipers-
86 - 2020-12-15372Snipers-Ailes Rouges-
88 - 2020-12-17377Croque-Morts-Snipers-
90 - 2020-12-19381Snipers-Spoonman's-
92 - 2020-12-21388Ailes Rouges-Snipers-
94 - 2020-12-23396Snipers-Citadelles-
96 - 2020-12-25405Pacifiques de la route-Snipers-
98 - 2020-12-27413Snipers-Croque-Morts-
100 - 2020-12-29419Chiefs-Snipers-
101 - 2020-12-30421Snipers-Harvard-
103 - 2021-01-01433Riverman-Snipers-
104 - 2021-01-02435Snipers-Citadelles-
106 - 2021-01-04445As-Snipers-
108 - 2021-01-06451Snipers-Isotopes-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
111 - 2021-01-09462Wolves-Snipers-
112 - 2021-01-10467Snipers-Wolves-
113 - 2021-01-11474Canadiens-Snipers-
115 - 2021-01-13481Snipers-Wolves-
116 - 2021-01-14488Citadelles-Snipers-
117 - 2021-01-15493Snipers-Citadelles-
119 - 2021-01-17503Banshees-Snipers-
120 - 2021-01-18511Croque-Morts-Snipers-
121 - 2021-01-19516Snipers-Harvard-
122 - 2021-01-20522Snipers-Canadiens-
123 - 2021-01-21529Ailes Rouges-Snipers-
126 - 2021-01-24540Croque-Morts-Snipers-
127 - 2021-01-25545Snipers-Riverman-
129 - 2021-01-27552Snipers-Spoonman's-
131 - 2021-01-29559Isotopes-Snipers-
135 - 2021-02-02574Isotopes-Snipers-



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
33 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
314,880$ 1,332,450$ 1,332,450$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,332,450$ 314,880$ 31 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 106 10,496$ 1,112,576$




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
1993181052010067589852100003428610531010033303236711818500281821055317518618754671322053771191613.45%881978.41%033665251.53%30156753.09%15429452.38%441296411141240122
Total Saison Régulière181052010067589852100003428610531010033303236711818500281821055317518618754671322053771191613.45%881978.41%033665251.53%30156753.09%15429452.38%441296411141240122