Spoonman's
GP: 82 | W: 43 | L: 31 | T: 8 | P: 94
GF: 260 | GA: 233 | PP%: 19.87% | PK%: 82.63%
DG: Louis-Philippe Fraser | Morale : 68 | Moyenne d'Équipe : 65
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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 SPÂgeContratSalaire
1Dave SnuggerudX100.006448816772737475657774716649535481680282850,000$
2Mike DonnellyX100.006748736468777874677572706854553349670313680,000$
3Dave ReidX100.006244856276697272587271866245544070670301425,000$
4Bob SweeneyX100.008072536375737467627170786657604081670302620,000$
5Petri SkrikoX100.006447817368747566627075627165722446670322885,000$
6Mike EaglesX100.007055666571707267626760835849533381650311485,000$
7Dave BarrX100.005543805771707163616965776681811081650342500,000$
8Jamie BakerX100.006245756573727269647361805845505481650284700,000$
9Derek LaxdalX100.008272546476707061566370756851515481640281520,000$
10Glen Murray (R)X100.006452656476616270617071696634359652630222185,000$
11Todd Marchant (R)X100.007863736173777463646864716436468066630213100,000$
12Scott ThorntonX100.006760626476666965617165696129328221620242225,000$
13Luke RichardsonX100.008778496979767761586654875143407564680251650,000$
14Dan KeczmerX100.007053697072747473627565785551596875680262285,000$
15Ric NattressX100.006847796476787758556144844354652581670322405,000$
16Cam RussellX100.008066526976666664596652785034347568640254550,000$
17Rich PilonX100.008778506276687053546551834932396881640261285,000$
18Kevin HallerX100.007662616876717363566244764234348281630243400,000$
Rayé
1Mike McPheeX100.006245816176767568677167696666651023660341640,000$
2Scott Pellerin (R)X100.006652697173697070657363755844478132650242350,000$
3Joe Sacco (R)X100.006452677371646665616964726234347519630253250,000$
4Kirk Maltby (R)X100.005746786974646664626760745733299520610223395,000$
5Turner Stevenson (R)X100.007160566480686859576661695828289620600223240,000$
6Rob PearsonX100.006861627072666857546061696227279020590232200,000$
7Doug CrossmanX100.006345816072787971677156795571811012680343800,000$
8Chris Tamer (R)X100.006661606578687255566350774832328220620243375,000$
9Sean O'DonnellX100.007364536281626465576346714232329020610233350,000$
MOYENNE D'ÉQUIPE100.00695667657470716560686175584548605365
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
1Danny Lorenz100.00687581787872807676747047557663710
2Rick Tabaracci (R)100.00697876747574817878747328277568680
Rayé
1Peter Sidorkiewicz100.00757070697172708777727338406119670
MOYENNE D'ÉQUIPE100.0071747674757377807773723841715069
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Johnson71797472948755USA63295,000$


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
1Dave SnuggerudSpoonman's (HAR)RW7940519119200341362777319314.44%8161020.38142236783800001766450.31%32000011.13000001246
2Dan KeczmerSpoonman's (HAR)D82146579037555137165611028.48%101201424.56929381153930222401310.00%000000.7800010526
3Joel OttoWhalersC80314576217552012432247118113.84%32171821.4812263868348112104444253.39%237300110.8800001485
4Bob SweeneySpoonman's (HAR)C8130316115124102971762365014312.71%13154919.13713207835210131247451.88%191200020.79000111063
5Ric NattressSpoonman's (HAR)D8215375220200248895408015.79%109190923.28111223723580112388210.00%000000.5400000124
6Luke RichardsonSpoonman's (HAR)D76830383175252279311119627.21%82160821.1671320692570002318200.00%000000.4700212331
7Dave ReidSpoonman's (HAR)LW7517213812407861514913011.26%12101913.594372513600021153145.00%8000000.7500000113
8Dave BarrSpoonman's (HAR)RW82181533560563116287815.52%8102312.4865114422200021803047.30%7400000.6400000152
9Todd MarchantSpoonman's (HAR)LW70112233125601086913331808.27%9129918.5631013403320002921150.00%12400110.5100000132
10Jamie BakerSpoonman's (HAR)C82151732-1240044183145319410.34%11108313.22257104910141191451.27%117800000.5900000021
11Cam RussellSpoonman's (HAR)D8242630-21515183785920326.78%80141117.21426361660111176100.00%000000.4300000121
12Rich PilonSpoonman's (HAR)D8272330191555240727729629.09%74152818.64448532321121178210.00%000000.3900001011
13Mike DonnellySpoonman's (HAR)LW5614152901603257120278911.67%278614.0533623980001544045.31%6400100.7400000022
14Derek LaxdalSpoonman's (HAR)RW81111425-613002116212332618.94%10117614.5212341500031231048.86%8800000.4300000113
15Kevin HallerSpoonman's (HAR)D8132124-457582674715346.38%53132716.39257301390000158000.00%000000.3600010011
16Petri SkrikoSpoonman's (HAR)LW50111122820182073124115.07%462512.515712332200002322054.35%4600210.7000000111
17Glen MurraySpoonman's (HAR)RW6221113-920028123113236.45%34246.84167997000000132.00%2500000.6100000001
18Mike McPheeSpoonman's (HAR)LW442810-816013304910344.08%245510.36033323000090061.67%6000000.4400000000
19Mike EaglesSpoonman's (HAR)C82279-732036936615363.03%95807.080000001111060049.38%56700000.3100000101
20Scott PellerinSpoonman's (HAR)LW45437-280132232112412.50%33527.840001410111071050.00%4200100.4000000100
21Mike KeaneWhalersRW8156320711124108.33%215219.060445390000420046.15%1300000.7900000001
22Joe SaccoSpoonman's (HAR)LW1000000000000.00%022.750000000000000.00%100000.0000000000
23Scott ThorntonSpoonman's (HAR)C2000-120032110.00%02713.6400014000020047.06%3400000.0000000000
24Turner StevensonSpoonman's (HAR)RW3000000100010.00%062.290000000000000.00%000000.0000000000
25Sean O'DonnellSpoonman's (HAR)D5000100720000.00%57915.8300001000024000.00%000000.0000000000
26Chris TamerSpoonman's (HAR)D1000000210000.00%01616.520000000006000.00%000000.0000000000
27Doug CrossmanSpoonman's (HAR)D1000100303110.00%22222.770003400005000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne147526047873888114860187818042347643159211.08%6342381316.149517426980038775712403292432051.74%700100660.6200245434445
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
1Danny LorenzSpoonman's (HAR)55262150.8882.9131606315313670400.00005329321
2Rick TabaracciSpoonman's (HAR)34171030.9032.60179902788010020.00002948110
Stats d'équipe Total ou en Moyenne89433180.8932.7949606523121680420.00008277431


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
Bob SweeneySpoonman's (HAR)C301991-02-09 9:08:37 PMNo200 Lbs6 ft3NoNoNo2Pro & Farm620,000$62,000$456$No620,000$
Cam RussellSpoonman's (HAR)D251996-02-09 9:08:37 PMNo200 Lbs6 ft4NoNoNo4Pro & Farm550,000$55,000$404$No550,000$550,000$550,000$
Chris TamerSpoonman's (HAR)D241997-02-09 9:08:37 PMYes215 Lbs6 ft1NoNoNo3Pro & Farm375,000$37,500$276$No375,000$375,000$
Dan KeczmerSpoonman's (HAR)D261995-02-09 9:08:37 PMNo180 Lbs6 ft1NoNoNo2Pro & Farm285,000$28,500$210$No285,000$
Danny LorenzSpoonman's (HAR)G251996-02-09 9:08:37 PMNo185 Lbs5 ft10NoNoNo3Pro & Farm746,000$74,600$549$No746,000$746,000$
Dave BarrSpoonman's (HAR)RW341987-02-09 9:08:37 PMNo195 Lbs6 ft1NoNoNo2Pro & Farm500,000$50,000$368$No500,000$
Dave ReidSpoonman's (HAR)LW301991-02-09 9:08:37 PMNo205 Lbs6 ft0NoNoNo1Pro & Farm425,000$42,500$312$No
Dave SnuggerudSpoonman's (HAR)RW281993-02-09 9:08:37 PMNo190 Lbs6 ft0NoNoNo2Pro & Farm850,000$85,000$625$No850,000$
Derek LaxdalSpoonman's (HAR)RW281993-02-09 9:08:37 PMNo210 Lbs6 ft1NoNoNo1Pro & Farm520,000$52,000$382$No
Doug CrossmanSpoonman's (HAR)D341987-02-09 9:08:37 PMNo190 Lbs6 ft2NoNoNo3Pro & Farm800,000$80,000$588$No800,000$800,000$
Glen MurraySpoonman's (HAR)RW221999-02-09 9:08:37 PMYes221 Lbs6 ft2NoNoNo2Pro & Farm185,000$18,500$136$No185,000$
Jamie BakerSpoonman's (HAR)C281993-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo4Pro & Farm700,000$70,000$515$No700,000$700,000$700,000$
Joe SaccoSpoonman's (HAR)LW251996-02-09 9:08:37 PMYes180 Lbs6 ft1NoNoNo3Pro & Farm250,000$25,000$184$No250,000$250,000$
Kevin HallerSpoonman's (HAR)D241997-02-09 9:08:37 PMNo195 Lbs6 ft2NoNoNo3Pro & Farm400,000$40,000$294$No400,000$400,000$
Kirk MaltbySpoonman's (HAR)LW221999-02-09 9:08:37 PMYes200 Lbs6 ft0NoNoNo3Pro & Farm395,000$39,500$290$No395,000$395,000$
Luke RichardsonSpoonman's (HAR)D251996-02-09 9:08:37 PMNo210 Lbs6 ft4NoNoNo1Pro & Farm650,000$65,000$478$No
Mike DonnellySpoonman's (HAR)LW311990-02-09 9:08:37 PMNo170 Lbs5 ft11NoNoNo3Pro & Farm680,000$68,000$500$No680,000$680,000$
Mike EaglesSpoonman's (HAR)C311990-02-09 9:08:37 PMNo190 Lbs5 ft10NoNoNo1Pro & Farm485,000$48,500$357$No
Mike McPheeSpoonman's (HAR)LW341987-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo1Pro & Farm640,000$64,000$471$No
Peter SidorkiewiczSpoonman's (HAR)G271994-02-09 9:08:37 PMNo165 Lbs5 ft9NoNoNo1Pro & Farm650,000$65,000$478$No
Petri SkrikoSpoonman's (HAR)LW321989-02-09 9:08:37 PMNo170 Lbs5 ft10NoNoNo2Pro & Farm885,000$88,500$651$No885,000$
Ric NattressSpoonman's (HAR)D321989-02-09 9:08:37 PMNo210 Lbs6 ft3NoNoNo2Pro & Farm405,000$40,500$298$No405,000$
Rich PilonSpoonman's (HAR)D261995-02-09 9:08:37 PMNo216 Lbs6 ft0NoNoNo1Pro & Farm285,000$28,500$210$No
Rick TabaracciSpoonman's (HAR)G251996-02-09 9:08:37 PMYes190 Lbs5 ft11NoNoNo1Pro & Farm475,000$47,500$349$No
Rob PearsonSpoonman's (HAR)RW231998-02-09 9:08:37 PMNo185 Lbs6 ft1NoNoNo2Pro & Farm200,000$20,000$147$No200,000$
Scott PellerinSpoonman's (HAR)LW241997-02-09 9:08:37 PMYes190 Lbs5 ft11NoNoNo2Pro & Farm350,000$35,000$257$No350,000$
Scott ThorntonSpoonman's (HAR)C241997-02-09 9:08:37 PMNo206 Lbs6 ft3NoNoNo2Pro & Farm225,000$22,500$165$No225,000$
Sean O'DonnellSpoonman's (HAR)D231998-02-09 9:08:37 PMNo230 Lbs6 ft3NoNoNo3Pro & Farm350,000$35,000$257$No350,000$350,000$
Todd MarchantSpoonman's (HAR)LW211999-08-11 9:10:52 AMYes175 Lbs5 ft10NoNoNo3Pro & Farm100,000$10,000$74$No250,000$250,000$
Turner StevensonSpoonman's (HAR)RW221999-02-09 9:08:37 PMYes226 Lbs6 ft3NoNoNo3Pro & Farm240,000$24,000$176$No240,000$240,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3026.83196 Lbs6 ft12.20474,033$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Petri SkrikoBob SweeneyDave Snuggerud35122
2Todd MarchantJamie BakerDave Barr30122
3Mike DonnellyScott ThorntonDerek Laxdal20122
4Dave ReidMike EaglesGlen Murray15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dan KeczmerLuke Richardson35122
2Ric NattressRich Pilon30122
3Cam RussellKevin Haller20122
4Dan KeczmerLuke Richardson15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Todd MarchantBob SweeneyDave Snuggerud60122
2Petri SkrikoJamie BakerDave Barr40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dan KeczmerLuke Richardson60122
2Ric NattressRich Pilon40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mike EaglesTodd Marchant60122
2Jamie BakerDave Barr40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dan KeczmerLuke Richardson60122
2Ric NattressRich Pilon40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mike Eagles60122Dan KeczmerLuke Richardson60122
2Bob Sweeney40122Ric NattressRich Pilon40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Bob SweeneyMike Donnelly60122
2Mike EaglesPetri Skriko40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dan KeczmerLuke Richardson60122
2Ric NattressRich Pilon40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Petri SkrikoJamie BakerDerek LaxdalDan KeczmerLuke Richardson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Petri SkrikoMike EaglesDave SnuggerudDan KeczmerLuke Richardson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Derek Laxdal, Dave Reid, Mike DonnellyTodd Marchant, Dave ReidTodd Marchant
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cam Russell, Kevin Haller, Ric NattressCam RussellKevin Haller, Ric Nattress
Tirs de Pénalité
Dave Reid, Derek Laxdal, Todd Marchant, Petri Skriko, Mike Donnelly
Gardien
#1 : Danny Lorenz, #2 : Rick Tabaracci


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 Rouges7430000025187321000001147422000001414080.57125467111778396422370378684517169597314442819.05%31583.87%11476286551.52%1441281351.23%707132553.36%1937126519436641091549
2As53101000191093210000011652100100084480.80019325100778396414670378684517136375411637924.32%21290.48%01476286551.52%1441281351.23%707132553.36%1937126519436641091549
3Banshees513100001518-32110000065130210000913-430.30015284300778396414570378684517155476411327725.93%30486.67%01476286551.52%1441281351.23%707132553.36%1937126519436641091549
4Canadiens1044110003331253110000171525130100016160110.5503362950077839642807037868451728777220273781620.51%911286.81%01476286551.52%1441281351.23%707132553.36%1937126519436641091549
5Chiefs962100002520543100000111015311000014104130.72225446902778396426670378684517235529820453815.09%46686.96%01476286551.52%1441281351.23%707132553.36%1937126519436641091549
6Citadelles622110001817130111000810-232100000107370.58318335100778396417370378684517156575714426623.08%24675.00%01476286551.52%1441281351.23%707132553.36%1937126519436641091549
7Croque-Morts513010001618-22110000077030201000911-240.40016304610778396413270378684517144406210227414.81%27870.37%01476286551.52%1441281351.23%707132553.36%1937126519436641091549
8Harvard871000003019114400000013764310000017125140.8753056860177839642297037868451720259136204561425.00%65986.15%31476286551.52%1441281351.23%707132553.36%1937126519436641091549
9Isotopes532000001515032100000131122110000024-260.6001526410177839641217037868451715839881152229.09%42490.48%11476286551.52%1441281351.23%707132553.36%1937126519436641091549
10Pacifiques de la route632100001816242110000131122110000055070.58318355300778396418370378684517134458712233412.12%32875.00%01476286551.52%1441281351.23%707132553.36%1937126519436641091549
11Riverman624000001622-621100000660413000001016-640.33316314700778396414870378684517154638611529620.69%381365.79%01476286551.52%1441281351.23%707132553.36%1937126519436641091549
12Snipers53200000191453300000014772020000057-260.60019355400778396414670378684517119277510918633.33%27388.89%01476286551.52%1441281351.23%707132553.36%1937126519436641091549
13Wolves502300001115-43012000089-12011000036-330.30011203100778396415970378684517121325411730516.67%27774.07%01476286551.52%1441281351.23%707132553.36%1937126519436641091549
Total8239318400026023327412411510001381083041152033000122125-3940.5732604787382577839642351703786845172170634115418784789519.87%5018782.63%51476286551.52%1441281351.23%707132553.36%1937126519436641091549
_Since Last GM Reset82473104000260233274124115100013810830412320-53000122125-31020.6222604787382577839642351703786845172170634115418784789519.87%5018782.63%51476286551.52%1441281351.23%707132553.36%1937126519436641091549
_Vs Conference4327140200013612016211352100068581022149-2100068626580.674136249385047783964121470378684517119333166310532625320.23%2984186.24%41476286551.52%1441281351.23%707132553.36%1937126519436641091549
_Vs Division27197010008870181310210000413291495-1100047389400.74188162250037783964775703786845177241884546811873820.32%2022786.63%31476286551.52%1441281351.23%707132553.36%1937126519436641091549

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8294OTW1260478738235121706341154187825
Tous les Matchs
GPWLOTWOTL TGFGA
823931408260233
Matchs locaux
GPWLOTWOTL TGFGA
412411105138108
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
411520303122125
Derniers 10 Matchs
WLOTWOTL T
34102
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4789519.87%5018782.63%5
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
703786845177783964
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
1476286551.52%1441281351.23%707132553.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1937126519436641091549


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 - 2020-09-211Canadiens6Spoonman's3LSommaire du Match
2 - 2020-09-2211Spoonman's3Canadiens2WXSommaire du Match
3 - 2020-09-2315Spoonman's3Chiefs1WSommaire du Match
5 - 2020-09-2524Harvard0Spoonman's1WR3Sommaire du Match
7 - 2020-09-2733Canadiens2Spoonman's3WSommaire du Match
9 - 2020-09-2940Spoonman's4Harvard3WR3Sommaire du Match
10 - 2020-09-3046Pacifiques de la route1Spoonman's2WSommaire du Match
11 - 2020-10-0156Chiefs0Spoonman's1WSommaire du Match
12 - 2020-10-0260Spoonman's2Riverman5LSommaire du Match
14 - 2020-10-0467Spoonman's1Isotopes0WSommaire du Match
16 - 2020-10-0674Isotopes4Spoonman's3LSommaire du Match
18 - 2020-10-0881Spoonman's5Citadelles3WSommaire du Match
20 - 2020-10-1088Spoonman's2Riverman5LSommaire du Match
22 - 2020-10-1294Citadelles1Spoonman's2WXSommaire du Match
24 - 2020-10-14102Riverman5Spoonman's4LSommaire du Match
26 - 2020-10-16109Spoonman's3Citadelles1WSommaire du Match
28 - 2020-10-18116Citadelles3Spoonman's3TXSommaire du Match
30 - 2020-10-20123Spoonman's1Isotopes4LSommaire du Match
32 - 2020-10-22130Riverman1Spoonman's2WSommaire du Match
34 - 2020-10-24136Spoonman's2Riverman3LSommaire du Match
36 - 2020-10-26143Spoonman's2Citadelles3LSommaire du Match
38 - 2020-10-28151Isotopes5Spoonman's6WSommaire du Match
40 - 2020-10-30158Spoonman's4Riverman3WSommaire du Match
42 - 2020-11-01165Croque-Morts2Spoonman's0LSommaire du Match
43 - 2020-11-02171Spoonman's6Ailes Rouges4WSommaire du Match
46 - 2020-11-05179Ailes Rouges2Spoonman's5WSommaire du Match
47 - 2020-11-06187Wolves3Spoonman's2LSommaire du Match
48 - 2020-11-07193Spoonman's2Croque-Morts3LSommaire du Match
49 - 2020-11-08200Isotopes2Spoonman's4WSommaire du Match
52 - 2020-11-11207Spoonman's3Ailes Rouges5LSommaire du Match
53 - 2020-11-12215Wolves2Spoonman's2TXSommaire du Match
55 - 2020-11-14223Spoonman's2Banshees5LSommaire du Match
56 - 2020-11-15227Spoonman's2Snipers3LSommaire du Match
57 - 2020-11-16234Citadelles6Spoonman's3LSommaire du Match
58 - 2020-11-17240Spoonman's5Canadiens3WSommaire du Match
61 - 2020-11-20248Canadiens2Spoonman's4WSommaire du Match
62 - 2020-11-21256Banshees3Spoonman's2LSommaire du Match
64 - 2020-11-23265Spoonman's3Banshees3TXSommaire du Match
65 - 2020-11-24269Spoonman's1Wolves1TXSommaire du Match
66 - 2020-11-25275Canadiens4Spoonman's4TXSommaire du Match
67 - 2020-11-26283Spoonman's4Banshees5LSommaire du Match
70 - 2020-11-29291Ailes Rouges0Spoonman's5WSommaire du Match
71 - 2020-11-30299Snipers3Spoonman's5WSommaire du Match
74 - 2020-12-03311Harvard3Spoonman's4WR3Sommaire du Match
75 - 2020-12-04321As1Spoonman's5WSommaire du Match
78 - 2020-12-07336Chiefs4Spoonman's5WSommaire du Match
79 - 2020-12-08338Spoonman's5Ailes Rouges2WSommaire du Match
80 - 2020-12-09349Spoonman's0Ailes Rouges3LSommaire du Match
82 - 2020-12-11353As1Spoonman's6WSommaire du Match
84 - 2020-12-13364Spoonman's3Snipers4LSommaire du Match
86 - 2020-12-15366Chiefs2Spoonman's3WSommaire du Match
88 - 2020-12-17374Spoonman's6Chiefs0WSommaire du Match
90 - 2020-12-19381Snipers2Spoonman's5WSommaire du Match
92 - 2020-12-21387Spoonman's2Canadiens3LSommaire du Match
94 - 2020-12-23395Harvard1Spoonman's2WR3Sommaire du Match
96 - 2020-12-25402Spoonman's5Croque-Morts4WXSommaire du Match
98 - 2020-12-27408Pacifiques de la route2Spoonman's4WSommaire du Match
100 - 2020-12-29420Croque-Morts5Spoonman's7WSommaire du Match
101 - 2020-12-30426Spoonman's2Chiefs2TXSommaire du Match
103 - 2021-01-01432Spoonman's4As1WSommaire du Match
104 - 2021-01-02436Ailes Rouges2Spoonman's1LSommaire du Match
106 - 2021-01-04446Spoonman's3Harvard4LR3Sommaire du Match
108 - 2021-01-06450As4Spoonman's0LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
110 - 2021-01-08461Spoonman's4Harvard3WR3Sommaire du Match
111 - 2021-01-09464Harvard3Spoonman's6WSommaire du Match
113 - 2021-01-11475Chiefs4Spoonman's2LSommaire du Match
115 - 2021-01-13482Spoonman's1Pacifiques de la route2LSommaire du Match
116 - 2021-01-14489Canadiens1Spoonman's3WSommaire du Match
118 - 2021-01-16497Spoonman's3Canadiens4LSommaire du Match
119 - 2021-01-17504Spoonman's6Harvard2WR3Sommaire du Match
120 - 2021-01-18506Banshees2Spoonman's4WSommaire du Match
121 - 2021-01-19513Spoonman's0Chiefs5LSommaire du Match
122 - 2021-01-20519Pacifiques de la route4Spoonman's4TXSommaire du Match
123 - 2021-01-21525Spoonman's3Chiefs2WSommaire du Match
124 - 2021-01-22530Spoonman's2Croque-Morts4LSommaire du Match
125 - 2021-01-23536Spoonman's3Canadiens4LSommaire du Match
126 - 2021-01-24539Wolves4Spoonman's4TXSommaire du Match
127 - 2021-01-25547Spoonman's2Wolves5LSommaire du Match
129 - 2021-01-27552Snipers2Spoonman's4WSommaire du Match
132 - 2021-01-30562Pacifiques de la route4Spoonman's3LSommaire du Match
133 - 2021-01-31564Spoonman's4Pacifiques de la route3WSommaire du Match
134 - 2021-02-01569Spoonman's4As3WXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,493,922$ 1,422,100$ 1,432,100$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,422,100$ 1,493,922$ 30 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 11,155$ 11,155$




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