Snipers

GP: 52 | W: 25 | L: 20 | T: 3 | P: 57
GF: 178 | GA: 179 | PP%: 15.56% | PK%: 78.39%
DG: Farlou Ferland | Morale : 51 | Moyenne d'Équipe : 64
Prochain matchs #364 vs Spoonman's
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 SPÂgeContratSalaire
1Mike HoughX100.006852696774717376687574666859663364680302482,500$
2Bobby Smith (A)X100.00574773617869736964686680659094164680353694,000$
3Michael Peca (R)X99.005647677470676777677772856427319853670193480,000$
4Todd KrygierX100.007552757070757375677571686641524767670282475,000$
5Rob ZamunerX100.006550777277777867647373797030407560670242625,000$
6Alexandre Daigle (R)X100.005644747462757278617776587535358863660193250,000$
7Bob KudelskiX98.876348766574737670657164776245444141650293511,000$
8Brian LawtonX100.006353646371636465637070666752484557630283410,000$
9Dave ChyzowskiX100.007360606675676863606564726241439064620223386,000$
10Mike Knuble (R)X100.005646716778707059556259685626359751590212200,000$
11Craig Darby (R)X100.006348826872606261576360605836369628590212225,000$
12Rene Corbet (R)X100.005648647072686858566357675429299661590202285,000$
13Mikhail Tatarinov (A)X100.006145776574737375667864825758615464680272480,000$
14Chris Dahlquist (C)X100.006243856072838259566446824570772464670311300,000$
15Roger JohanssonX100.007151736776727264706560805858446165660263532,000$
16Bill HoulderX100.007049756376777865586460775551595964660263450,000$
17Brad ShawX100.006748806772737561606852795058643865660293675,000$
18Jim KyteX100.007368536179677154525642814063654167640291620,000$
Rayé
1Kevin MillerX95.835639846773767970677571786755604641680281435,000$
2Jan ErixonX100.006035966472747371646863856052672220670312495,000$
3Wayne PresleyX100.006255666871727571667270656837474820650283514,000$
4Evgeny DavydovX100.006748786871707270656674687041355420640272575,000$
5Paul KruseX100.007572416774646759576661755831318321610231200,000$
6Sean ProngerX100.006050756876656663596563686028349648610212300,000$
7Ben HankinsonX100.006661606876666762596463746229297420610241417,000$
8Viktor GordioukX100.005245747369666664586665596431288220600232275,000$
9Grant LedyardX100.005440835875747360576151815069741820650321425,000$
10Craig WolaninX100.007960676578777856525856745352575920650263543,000$
11Brian GlynnX100.006848816667767852516058815637446220640261370,000$
MOYENNE D'ÉQUIPE99.78645072677371726561676374604649604664
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 Sarjeant100.00697276737556696663726838427539630
2Chad Erickson100.00687271716937606855655826358233570
Rayé
1Robb Stauber100.00717673727168818176717251546023690
MOYENNE D'ÉQUIPE100.0069737372725470726569663844723263
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)C50213152520084133124307716.94%6103220.65317203125510141150151.08%139200001.0100000433
2Alexandre DaigleSnipers (EDM)RW5226265251604774166538715.66%6104120.037916502710000634347.66%12800011.0000000413
3Rob ZamunerSnipers (EDM)LW5212344641759884150501318.00%14107220.6379164727201131000150.83%12000000.8600010433
4Mikhail TatarinovSnipers (EDM)D5293039-132603910310141798.91%54114121.946131965258000054000.00%000000.6800000111
5Bobby SmithSnipers (EDM)C52152237-8300781471443310310.42%5100719.37312154523510141422153.54%135600000.7300000351
6Bill HoulderSnipers (EDM)D52728351680101708327598.43%54114522.035813622530000149010.00%000000.6100000022
7Kevin MillerSnipers (EDM)RW4720123216030771223011616.39%876516.2964103515900031264452.67%13100000.8400000512
8Todd KrygierSnipers (EDM)LW5214132713755879114228212.28%867613.000004220002590253.23%6200000.8000100021
9Jim KyteSnipers (EDM)D501116279106201452450193822.00%41101420.2963935235000022300.00%000000.5300103010
10Chris DahlquistSnipers (EDM)D5261723-520051446093810.00%70121023.274610392550000179300.00%000000.3800000112
11Roger JohanssonSnipers (EDM)D52615214561079573691816.67%5988717.060112250000174100.00%000000.4700001222
12Rene CorbetSnipers (EDM)LW5051621-1024075467514516.67%290718.16167222250000951040.32%6200000.4600000001
13Brian LawtonSnipers (EDM)C5261218239550807120338.45%259211.3900009000011052.01%59600000.6100100100
14Brad ShawSnipers (EDM)D521161742554541265163.85%4385616.470001150112169000.00%000000.4000001110
15Mike KnubleSnipers (EDM)RW50410141100112234153511.76%257611.53000011000020052.94%3400000.4900000000
16Mike HoughSnipers (EDM)RW5295144140224052103717.31%23636.990002130112103047.62%2100000.7700000011
17Dave ChyzowskiSnipers (EDM)LW52381142003431495156.12%33496.72000213000020046.15%5200000.6300000001
18Sean ProngerSnipers (EDM)C381780401027238174.35%52606.8600015000191046.60%29400000.6100000000
19Michael PecaSnipers (EDM)C53361003131561720.00%411422.831235200000231042.67%15000001.0500000110
20Craig DarbySnipers (EDM)C16123-62010612098.33%023714.87112861000051063.64%5500000.2500000000
21Paul KruseSnipers (EDM)LW1000000000000.00%011.570000000001000.00%000000.0000000000
22Evgeny DavydovSnipers (EDM)LW2000000010000.00%052.580000000000000.00%000000.0000000000
23Wayne PresleySnipers (EDM)RW2000020304130.00%02814.2100000000000050.00%200000.0000000000
24Craig WolaninSnipers (EDM)D2000120401010.00%03015.040000000004000.00%000000.0000000000
25Jan ErixonSnipers (EDM)LW2000000005260.00%03015.1100000000010033.33%300000.0000000000
Stats d'équipe Total ou en Moyenne939180323503554450107711991517409106811.87%3881534816.3550911414562623235211517251351.28%445800010.6600315272523
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)43191730.8703.4024010013610450220.00004210310
2Robb StauberSnipers (EDM)106400.8762.9459120292330000.00001010000
3Chad EricksonSnipers (EDM)50300.8484.831490012790000.0000032000
Stats d'équipe Total ou en Moyenne58252430.8703.3831422017713570220.00005252310


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$9,743$No250,000$250,000$
Ben HankinsonSnipers (EDM)RW241996-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo1Pro & Farm417,000$41,700$16,251$No
Bill HoulderSnipers (EDM)D261994-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo3Pro & Farm450,000$45,000$17,537$No450,000$450,000$
Bob KudelskiSnipers (EDM)C291991-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo3Pro & Farm511,000$51,100$19,914$No511,000$511,000$
Bobby SmithSnipers (EDM)C351985-02-09 9:08:37 PMNo210 Lbs6 ft4NoNoNo3Pro & Farm694,000$69,400$27,046$No694,000$694,000$
Brad ShawSnipers (EDM)D291991-02-09 9:08:37 PMNo190 Lbs6 ft0NoNoNo3Pro & Farm675,000$67,500$26,305$No675,000$675,000$
Brian GlynnSnipers (EDM)D261994-02-09 9:08:37 PMNo165 Lbs5 ft10NoNoNo1Pro & Farm370,000$37,000$14,419$No
Brian LawtonSnipers (EDM)C281992-02-09 9:08:37 PMNo180 Lbs6 ft0NoNoNo3Pro & Farm410,000$41,000$15,978$No410,000$410,000$
Chad EricksonSnipers (EDM)G231997-02-09 9:08:37 PMNo176 Lbs5 ft9NoNoNo3Pro & Farm150,000$15,000$5,846$No150,000$150,000$
Chris DahlquistSnipers (EDM)D311989-02-09 9:08:37 PMNo195 Lbs6 ft1NoNoNo1Pro & Farm300,000$30,000$11,691$No
Craig DarbySnipers (EDM)C211999-02-09 9:08:37 PMYes200 Lbs6 ft3NoNoNo2Pro & Farm225,000$22,500$8,768$No225,000$
Craig WolaninSnipers (EDM)D261994-02-09 9:08:37 PMNo207 Lbs6 ft3NoNoNo3Pro & Farm543,000$54,300$21,161$No543,000$543,000$
Dave ChyzowskiSnipers (EDM)LW221998-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo3Pro & Farm386,000$38,600$15,043$No386,000$386,000$
Evgeny DavydovSnipers (EDM)LW271993-02-09 9:08:37 PMNo183 Lbs6 ft0NoNoNo2Pro & Farm575,000$57,500$22,408$No575,000$
Geoff SarjeantSnipers (EDM)G241996-02-09 9:08:37 PMNo180 Lbs5 ft9NoNoNo2Pro & Farm325,000$32,500$12,665$No325,000$
Grant LedyardSnipers (EDM)D321988-02-09 9:08:37 PMNo202 Lbs6 ft2NoNoNo1Pro & Farm425,000$42,500$16,562$No
Jan ErixonSnipers (EDM)LW311989-02-09 9:08:37 PMNo196 Lbs6 ft0NoNoNo2Pro & Farm495,000$49,500$19,290$No495,000$
Jim KyteSnipers (EDM)D291991-02-09 9:08:37 PMNo211 Lbs6 ft5NoNoNo1Pro & Farm620,000$62,000$24,162$No
Kevin MillerSnipers (EDM)RW281992-02-09 9:08:37 PMNo190 Lbs5 ft11NoNoNo1Pro & Farm435,000$43,500$16,952$No
Michael PecaSnipers (EDM)C192001-02-09 9:08:37 PMYes181 Lbs5 ft11NoNoNo3Pro & Farm480,000$480,000$187,059$No480,000$480,000$
Mike HoughSnipers (EDM)RW301990-02-09 9:08:37 PMNo192 Lbs6 ft1NoNoNo2Pro & Farm482,500$48,250$18,803$No482,500$
Mike KnubleSnipers (EDM)RW211999-02-09 9:08:37 PMYes215 Lbs6 ft3NoNoNo2Pro & Farm200,000$20,000$7,794$No200,000$
Mikhail TatarinovSnipers (EDM)D271993-02-09 9:08:37 PMNo195 Lbs6 ft0NoNoNo2Pro & Farm480,000$48,000$18,706$No480,000$
Paul KruseSnipers (EDM)LW231997-02-09 9:08:37 PMNo202 Lbs6 ft0NoNoNo1Pro & Farm200,000$20,000$7,794$No
Rene CorbetSnipers (EDM)LW202000-02-09 9:08:37 PMYes187 Lbs6 ft0NoNoNo2Pro & Farm285,000$28,500$11,107$No285,000$
Rob ZamunerSnipers (EDM)LW241996-02-09 9:08:37 PMNo203 Lbs6 ft3NoNoNo2Pro & Farm625,000$62,500$24,357$No625,000$
Robb StauberSnipers (EDM)G261994-02-09 9:08:37 PMNo170 Lbs6 ft0NoNoNo3Pro & Farm425,000$42,500$16,562$No425,000$425,000$
Roger JohanssonSnipers (EDM)D261994-02-09 9:08:37 PMNo193 Lbs6 ft4NoNoNo3Pro & Farm532,000$53,200$20,732$No532,000$532,000$
Sean ProngerSnipers (EDM)C211999-02-09 9:08:37 PMNo202 Lbs6 ft3NoNoNo2Pro & Farm300,000$30,000$11,691$No300,000$
Todd KrygierSnipers (EDM)LW281992-02-09 9:08:37 PMNo180 Lbs5 ft11NoNoNo2Pro & Farm475,000$47,500$18,511$No475,000$
Viktor GordioukSnipers (EDM)LW231997-02-09 9:08:37 PMNo178 Lbs5 ft10NoNoNo2Pro & Farm275,000$27,500$10,717$No275,000$
Wayne PresleySnipers (EDM)RW281992-02-09 9:08:37 PMNo180 Lbs5 ft11NoNoNo3Pro & Farm514,000$51,400$20,031$No514,000$514,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3225.81193 Lbs6 ft12.19422,797$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rob ZamunerMichael PecaAlexandre Daigle35032
2Rene CorbetBob KudelskiCraig Darby30032
3Todd KrygierBobby SmithMike Knuble25032
4Dave ChyzowskiBrian LawtonMike Hough10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jim KyteMikhail Tatarinov38032
2Bill HoulderChris Dahlquist35032
3Brad ShawRoger Johansson27032
4Jim KyteMikhail Tatarinov0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rob ZamunerMichael PecaAlexandre Daigle60005
2Rene CorbetBob KudelskiCraig Darby40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Bill HoulderMikhail Tatarinov60005
2Jim KyteChris Dahlquist40005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael PecaRob Zamuner60050
2Bobby SmithRene Corbet40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brad ShawRoger Johansson51140
2Jim KyteBill Houlder49140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Rob Zamuner52050Brad ShawRoger Johansson54050
2Bobby Smith48050Jim KyteBill Houlder46050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael PecaAlexandre Daigle53032
2Bob KudelskiRene Corbet47032
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Bill HoulderMikhail Tatarinov54032
2Jim KyteChris Dahlquist46032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rob ZamunerMichael PecaAlexandre DaigleBill HoulderMikhail Tatarinov
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rob ZamunerBobby SmithMichael PecaJim KyteMikhail Tatarinov
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Peca, Rob Zamuner, Alexandre DaigleMichael Peca, 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, Bobby Smith, 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
1Ailes Rouges22000000633110000004221100000021141.000612180072525317150451347414469265210220.00%13284.62%1964183852.45%815161950.34%44987151.55%12708531184408694350
2As42000200171341000010023-1320001001510560.750173249007252531118504513474149830326829724.14%14285.71%0964183852.45%815161950.34%44987151.55%12708531184408694350
3Banshees614001001021-1120200000510-541200100511-630.25010192900725253113650451347414145504911830620.00%25772.00%0964183852.45%815161950.34%44987151.55%12708531184408694350
4Canadiens431000002013732100000141041100000063360.750203858107252531121504513474149618417224729.17%17570.59%0964183852.45%815161950.34%44987151.55%12708531184408694350
5Chiefs412010001317-41010000046-231101000911-240.5001320330072525311245045134741410332416822313.64%16568.75%1964183852.45%815161950.34%44987151.55%12708531184408694350
6Citadelles411200001212041120000121200000000000040.5001222340072525311085045134741411228289529310.34%14378.57%0964183852.45%815161950.34%44987151.55%12708531184408694350
7Croque-Morts1010000047-3000000000001010000047-300.0004812007252531395045134741441106224125.00%3166.67%0964183852.45%815161950.34%44987151.55%12708531184408694350
8Harvard513100001820-2312000001210220110000610-430.3001833510072525311415045134741412440431182314.35%16662.50%0964183852.45%815161950.34%44987151.55%12708531184408694350
9Isotopes22000000743110000003121100000043141.0007121900725253165504513474146016283911218.18%12283.33%0964183852.45%815161950.34%44987151.55%12708531184408694350
10Pacifiques de la route1054001003638-2422000001618-26320010020200110.5503659950072525313125045134741426776120207661015.15%51884.31%0964183852.45%815161950.34%44987151.55%12708531184408694350
11Riverman6510000025169330000001495321000001174100.83325477200725253115850451347414156468613842511.90%37586.49%0964183852.45%815161950.34%44987151.55%12708531184408694350
12Spoonman's2110000067-1110000003211010000035-220.500612181072525315150451347414588175115213.33%6350.00%0964183852.45%815161950.34%44987151.55%12708531184408694350
Total52242031400178179-12512102010093885271210113008591-6570.548178321499207252531150550451347414135938454610763154915.56%2365178.39%2964183852.45%815161950.34%44987151.55%12708531184408694350
13Wolves2020000048-41010000045-11010000003-300.00047110072525316150451347414532129281000.00%12283.33%0964183852.45%815161950.34%44987151.55%12708531184408694350
_Since Last GM Reset52272001400178179-12512102010093885271510-213008591-6600.577178321499207252531150550451347414135938454610763154915.56%2365178.39%2964183852.45%815161950.34%44987151.55%12708531184408694350
_Vs Conference2514800300928571063001004037315850020052484310.62092165257007252531759504513474146611922995151612515.53%1302084.62%1964183852.45%815161950.34%44987151.55%12708531184408694350
_Vs Division16105001006154775200000302739530010031274210.65661106167007252531470504513474144231222063451081513.89%881385.23%0964183852.45%815161950.34%44987151.55%12708531184408694350

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5257W117832149915051359384546107620
Tous les Matchs
GPWLOTWOTL TGFGA
522420143178179
Matchs locaux
GPWLOTWOTL TGFGA
2512100129388
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
2712101318591
Derniers 10 Matchs
WLOTWOTL T
26101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3154915.56%2365178.39%2
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
504513474147252531
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
964183852.45%815161950.34%44987151.55%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12708531184408694350


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 - 2020-10-21124Chiefs6Snipers4LSommaire du Match
33 - 2020-10-23134Snipers2Ailes Rouges1WSommaire du Match
35 - 2020-10-25139Banshees5Snipers3LSommaire du Match
37 - 2020-10-27149Wolves5Snipers4LSommaire du Match
39 - 2020-10-29154Snipers2Chiefs7LSommaire du Match
41 - 2020-10-31161Snipers5Pacifiques de la route7LSommaire du Match
42 - 2020-11-01167Canadiens3Snipers1LSommaire du Match
44 - 2020-11-03173Snipers6Canadiens3WSommaire du Match
46 - 2020-11-05182Harvard3Snipers2LSommaire du Match
47 - 2020-11-06190Ailes Rouges2Snipers4WSommaire du Match
49 - 2020-11-08196Snipers4As5LXSommaire du Match
50 - 2020-11-09205Snipers3As2WSommaire du Match
52 - 2020-11-11208Citadelles1Snipers3WSommaire du Match
53 - 2020-11-12217Snipers1Harvard5LSommaire du Match
55 - 2020-11-14220Snipers6Riverman2WR2Sommaire du Match
56 - 2020-11-15227Spoonman's2Snipers3WSommaire du Match
58 - 2020-11-17236Riverman4Snipers5WR2Sommaire du Match
60 - 2020-11-19246Snipers4Chiefs2WSommaire du Match
61 - 2020-11-20249Riverman3Snipers6WR2Sommaire du Match
62 - 2020-11-21260Snipers0Pacifiques de la route2LSommaire du Match
64 - 2020-11-23262Isotopes1Snipers3WSommaire du Match
66 - 2020-11-25274Snipers1Banshees2LXSommaire du Match
67 - 2020-11-26279Canadiens3Snipers7WSommaire du Match
68 - 2020-11-27288As3Snipers2LXSommaire du Match
70 - 2020-11-29290Snipers4Isotopes3WSommaire du Match
71 - 2020-11-30299Snipers3Spoonman's5LSommaire du Match
73 - 2020-12-02307Banshees5Snipers2LSommaire du Match
74 - 2020-12-03316Snipers0Banshees3LSommaire du Match
75 - 2020-12-04320Citadelles5Snipers3LSommaire du Match
77 - 2020-12-06329Snipers4Croque-Morts7LSommaire du Match
78 - 2020-12-07333Citadelles4Snipers4TXSommaire du Match
79 - 2020-12-08344Harvard5Snipers3LSommaire du Match
80 - 2020-12-09350Snipers3Chiefs2WXSommaire du Match
83 - 2020-12-12357Snipers4Riverman3WR2Sommaire du Match
84 - 2020-12-13364Spoonman's-Snipers-
86 - 2020-12-15372Snipers-Ailes Rouges-R2
88 - 2020-12-17377Croque-Morts-Snipers-
90 - 2020-12-19381Snipers-Spoonman's-R2
92 - 2020-12-21388Ailes Rouges-Snipers-
94 - 2020-12-23396Snipers-Citadelles-R2
96 - 2020-12-25405Pacifiques de la route-Snipers-
98 - 2020-12-27413Snipers-Croque-Morts-R2
100 - 2020-12-29419Chiefs-Snipers-
101 - 2020-12-30421Snipers-Harvard-R2
103 - 2021-01-01433Riverman-Snipers-
104 - 2021-01-02435Snipers-Citadelles-R2
106 - 2021-01-04445As-Snipers-
108 - 2021-01-06451Snipers-Isotopes-R2
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-R2
113 - 2021-01-11474Canadiens-Snipers-
115 - 2021-01-13481Snipers-Wolves-R2
116 - 2021-01-14488Citadelles-Snipers-
117 - 2021-01-15493Snipers-Citadelles-R2
119 - 2021-01-17503Banshees-Snipers-
120 - 2021-01-18511Croque-Morts-Snipers-R2
121 - 2021-01-19516Snipers-Harvard-
122 - 2021-01-20522Snipers-Canadiens-R2
123 - 2021-01-21529Ailes Rouges-Snipers-
126 - 2021-01-24540Croque-Morts-Snipers-R2
127 - 2021-01-25545Snipers-Riverman-
129 - 2021-01-27552Snipers-Spoonman's-R2
131 - 2021-01-29559Isotopes-Snipers-
135 - 2021-02-02574Isotopes-Snipers-R2



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
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
871,800$ 1,784,950$ 1,784,950$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,784,950$ 871,800$ 32 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 53 13,823$ 732,619$




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