Pacifiques de la route
GP: 82 | W: 37 | L: 37 | T: 6 | P: 82
GF: 270 | GA: 259 | PP%: 19.00% | PK%: 83.21%
DG: Sébustien Tessier | Morale : 47 | Moyenne d'Équipe : 63
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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
1Zdeno CigerX100.005346707473737374697877647226436856660261600,000$
2Sheldon KennedyX99.006746817369696968667371686843297468650251345,000$
3Yanic Perreault (R)X100.006050657272676870647069706628358861640232200,000$
4Claude Vilgrain (A)X100.006851706376686870657573576854533369640311195,000$
5Philippe BozonX100.005747706769727268647267646543465268630282370,000$
6Rob MurrayX100.009576606871727360586562686042426041630273350,000$
7Geoff SandersonX100.004945687373666666637576627232329765630223509,000$
8Gino Odjick (C)X100.009082396779697063586357755536368270620241230,000$
9Eric LacroixX100.006954696577666968646356745428358929610233250,000$
10Cory Stillman (R)X100.005244757272666866656864656230349745610213550,000$
11Stephane Yelle (R)X100.005347706970656863596960745628309837610203425,000$
12Pat FalloonX100.005648746873676966616867636431319765610223450,000$
13Jyrki LummeX100.006245826377828277728168796536465458680281695,000$
14Igor UlanovX100.007563596777676861586446804427417556630252500,000$
15Roman Hamrlik (R)X100.006050666877686872657558705228349768630203800,000$
16Patrice BriseboisX100.005343777076656662596863756028288938620231325,000$
17Drake Berehowsky (R)X100.006859606279636562576450764828288956610231305,000$
18Alain CoteX100.006462495975687061566050674845486025600273250,000$
Rayé
1Dave Tippett (A)X100.006347736569737168667463826162671655670331650,000$
2David OliverX100.005444786973707362606566566622348220600241150,000$
3Warren RychelX100.009275505976626456525658735638366120590273475,000$
4Andreas Johansson (R)X100.005144766874636662586663576032299620590213400,000$
5Guy Leveque (R)X100.005246646667525259566455575233369620550223400,000$
6Craig RivetX100.006452756272576057545740703828289725570202350,000$
MOYENNE D'ÉQUIPE99.96645368677467686561686269593538774762
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
1Stephane Fiset (R)98.00697475777475818580727034388224700
2Peter Ing100.00787970737260727669727054557563680
Rayé
MOYENNE D'ÉQUIPE99.0074777375736877817572704447794469
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Herb Brooks71687579899363USA57295,000$


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
1Jyrki LummePacifiques de la route (CAL)D82235780-3400791421495413915.44%129205625.071619351053900220321400.00%000110.7800000634
2Yanic PerreaultPacifiques de la route (CAL)C82344478542101161992045112916.67%9159319.441419336637612342085147.03%217500000.9800020155
3Zdeno CigerPacifiques de la route (CAL)LW802945749180501062425718711.98%13157119.65515205933101151964350.75%19900110.9400000441
4Roman HamrlikPacifiques de la route (CAL)D82155065-1596201509298397615.31%79178421.76102232683681122265220.00%000000.7300220125
5Sheldon KennedyPacifiques de la route (CAL)RW82273360-34801361371915617214.14%15161219.67817255535100031853152.10%16700020.7400000343
6Claude VilgrainPacifiques de la route (CAL)RW821733501139588711605211210.63%1145517.755914483600002692256.19%10500000.6900001033
7Geoff SandersonPacifiques de la route (CAL)LW82202242430040981865713610.75%5130315.90257261620000431050.44%11300000.6400000114
8Dave TippettPacifiques de la route (CAL)LW72212142-5235841141333910915.79%24127017.6448121811910163264250.00%40200000.6600100521
9Patrice BriseboisPacifiques de la route (CAL)D68122234-4260306891236113.19%82147121.636915562470000248200.00%000000.4600000303
10Pat FalloonPacifiques de la route (CAL)RW82161834-23557168117317113.68%397011.83112518000001144.90%4900000.7000010335
11Drake BerehowskyPacifiques de la route (CAL)D818253311136301736777185510.39%82143217.684711452070001136300.00%000000.4600312121
12Philippe BozonPacifiques de la route (CAL)LW82131629-121602460105267512.38%783610.20369159111271172046.24%9300000.6900000101
13Igor UlanovPacifiques de la route (CAL)D7742529-101315216805622357.14%92158820.64246341630000253000.00%000000.3700001021
14Cory StillmanPacifiques de la route (CAL)C68619253180291038226527.32%583612.300001160001242045.48%84000000.6000000211
15Rob MurrayPacifiques de la route (CAL)C54912211117151759870204312.86%879514.73325131390000151145.29%92300000.5300102010
16Stephane YellePacifiques de la route (CAL)C562911-14000494511354.44%24117.3400000000010045.70%45300000.5300000000
17Alain CotePacifiques de la route (CAL)D522810960107617267137.69%3882015.78022779000052000.00%000000.2400110201
18Gino OdjickPacifiques de la route (CAL)LW82369-178010121295911335.08%105456.6600013500000211048.19%8300000.3300002000
19Craig RivetPacifiques de la route (CAL)D5016712604818174175.88%4272214.45011111000033000.00%000000.1900000000
20Eric LacroixPacifiques de la route (CAL)LW35011-100120210.00%1391.13000010011070040.00%500000.5100000000
Stats d'équipe Total ou en Moyenne1431262472734-32981115170716182108606155112.43%6472311916.168314622963534974812312530371347.12%560700240.6300878333339
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
1Stephane FisetPacifiques de la route (CAL)82363650.8873.0845260523220490420.0000811531
2Peter IngPacifiques de la route (CAL)151310.8793.5642140252060000.0000181000
Stats d'équipe Total ou en Moyenne97373960.8863.1249484525722550420.00008282531


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
Alain CotePacifiques de la route (CAL)D271994-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo3Pro & Farm250,000$25,000$184$No250,000$250,000$
Andreas JohanssonPacifiques de la route (CAL)C212000-02-09 9:08:37 PMYes209 Lbs6 ft2NoNoNo3Pro & Farm400,000$40,000$294$No400,000$400,000$
Claude VilgrainPacifiques de la route (CAL)RW311990-02-09 9:08:37 PMNo205 Lbs6 ft1NoNoNo1Pro & Farm195,000$19,500$143$No
Cory StillmanPacifiques de la route (CAL)C212000-02-09 9:08:37 PMYes190 Lbs6 ft0NoNoNo3Pro & Farm550,000$55,000$404$No550,000$550,000$
Craig RivetPacifiques de la route (CAL)D202001-02-09 9:08:37 PMNo195 Lbs6 ft2NoNoNo2Pro & Farm350,000$35,000$257$No350,000$
Dave TippettPacifiques de la route (CAL)LW331988-02-09 9:08:37 PMNo175 Lbs5 ft10NoNoNo1Pro & Farm650,000$65,000$478$No
David OliverPacifiques de la route (CAL)RW241997-02-09 9:08:37 PMNo195 Lbs6 ft0NoNoNo1Pro & Farm150,000$15,000$110$No
Drake BerehowskyPacifiques de la route (CAL)D231998-02-09 9:08:37 PMYes225 Lbs6 ft2NoNoNo1Pro & Farm305,000$30,500$224$No
Eric LacroixPacifiques de la route (CAL)LW231998-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo3Pro & Farm250,000$25,000$184$No250,000$250,000$
Geoff SandersonPacifiques de la route (CAL)LW221999-02-09 9:08:37 PMNo190 Lbs6 ft0NoNoNo3Pro & Farm509,000$50,900$374$No509,000$509,000$
Gino OdjickPacifiques de la route (CAL)LW241997-02-09 9:08:37 PMNo215 Lbs6 ft3NoNoNo1Pro & Farm230,000$23,000$169$No
Guy LevequePacifiques de la route (CAL)C221999-02-09 9:08:37 PMYes162 Lbs5 ft11NoNoNo3Pro & Farm400,000$40,000$294$No400,000$400,000$
Igor UlanovPacifiques de la route (CAL)D251996-02-09 9:08:37 PMNo211 Lbs6 ft1NoNoNo2Pro & Farm500,000$50,000$368$No500,000$
Jyrki LummePacifiques de la route (CAL)D281993-02-09 9:08:37 PMNo210 Lbs6 ft1NoNoNo1Pro & Farm695,000$69,500$511$No
Pat FalloonPacifiques de la route (CAL)RW221999-02-09 9:08:37 PMNo200 Lbs5 ft11NoNoNo3Pro & Farm450,000$45,000$331$No450,000$450,000$
Patrice BriseboisPacifiques de la route (CAL)D231998-02-09 9:08:37 PMNo204 Lbs6 ft2NoNoNo1Pro & Farm325,000$32,500$239$No
Peter IngPacifiques de la route (CAL)G251996-02-09 9:08:37 PMNo170 Lbs6 ft2NoNoNo3Pro & Farm400,000$40,000$294$No400,000$400,000$
Philippe BozonPacifiques de la route (CAL)LW281993-02-09 9:08:37 PMNo175 Lbs5 ft10NoNoNo2Pro & Farm370,000$37,000$272$No370,000$
Rob MurrayPacifiques de la route (CAL)C271994-02-09 9:08:37 PMNo180 Lbs6 ft1NoNoNo3Pro & Farm350,000$35,000$257$No350,000$350,000$
Roman HamrlikPacifiques de la route (CAL)D202001-02-09 9:08:37 PMYes210 Lbs6 ft2NoNoNo3Pro & Farm800,000$80,000$588$No800,000$800,000$
Sheldon KennedyPacifiques de la route (CAL)RW251996-02-09 9:08:37 PMNo170 Lbs5 ft10NoNoNo1Pro & Farm345,000$34,500$254$No
Stephane FisetPacifiques de la route (CAL)G241997-02-09 9:08:37 PMYes197 Lbs6 ft1NoNoNo3Pro & Farm613,000$61,300$451$No613,000$613,000$
Stephane YellePacifiques de la route (CAL)C202001-02-09 9:08:37 PMYes175 Lbs6 ft1NoNoNo3Pro & Farm425,000$42,500$312$No425,000$425,000$
Warren RychelPacifiques de la route (CAL)LW271994-02-09 9:08:37 PMNo205 Lbs6 ft0NoNoNo3Pro & Farm475,000$47,500$349$No475,000$475,000$
Yanic PerreaultPacifiques de la route (CAL)C231998-02-09 9:08:37 PMYes189 Lbs5 ft11NoNoNo2Pro & Farm200,000$20,000$147$No200,000$
Zdeno CigerPacifiques de la route (CAL)LW261995-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo1Pro & Farm600,000$60,000$441$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2624.38195 Lbs6 ft12.15414,885$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zdeno CigerYanic PerreaultSheldon Kennedy35122
2Geoff SandersonRob MurrayClaude Vilgrain30122
3Philippe BozonCory StillmanPat Falloon20122
4Gino OdjickStephane YelleSheldon Kennedy15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jyrki LummeIgor Ulanov35122
2Roman HamrlikPatrice Brisebois30122
3Drake BerehowskyAlain Cote20122
4Jyrki LummeIgor Ulanov15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zdeno CigerYanic PerreaultSheldon Kennedy60122
2Philippe BozonRob MurrayClaude Vilgrain40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jyrki LummeIgor Ulanov60122
2Roman HamrlikPatrice Brisebois40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Yanic PerreaultZdeno Ciger60122
2Rob MurrayPhilippe Bozon40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jyrki LummeIgor Ulanov60122
2Roman HamrlikPatrice Brisebois40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Yanic Perreault60122Jyrki LummeIgor Ulanov60122
2Rob Murray40122Roman HamrlikPatrice Brisebois40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Yanic PerreaultZdeno Ciger60122
2Rob MurrayPhilippe Bozon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jyrki LummeIgor Ulanov60122
2Roman HamrlikPatrice Brisebois40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zdeno CigerYanic PerreaultSheldon KennedyJyrki LummeIgor Ulanov
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zdeno CigerYanic PerreaultSheldon KennedyJyrki LummeIgor Ulanov
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Philippe Bozon, Geoff Sanderson, Rob MurrayPhilippe Bozon, Geoff SandersonPhilippe Bozon
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrice Brisebois, Drake Berehowsky, Alain CotePatrice BriseboisPatrice Brisebois, Drake Berehowsky
Tirs de Pénalité
Zdeno Ciger, Sheldon Kennedy, Claude Vilgrain, Yanic Perreault, Philippe Bozon
Gardien
#1 : Stephane Fiset, #2 : Peter Ing


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 Rouges521101001916321010000844311001001112-160.6001936550090888931857267207691612332389736822.22%18477.78%01290268448.06%1343275248.80%635131548.29%1922128119666531071529
2As724100001821-33021000069-3422000001212050.35718325000908889319672672076916178438012745715.56%25580.00%01290268448.06%1343275248.80%635131548.29%1922128119666531071529
3Banshees513100001522-7311100001010020200000512-730.30015254000908889310272672076916148495910116212.50%27774.07%01290268448.06%1343275248.80%635131548.29%1922128119666531071529
4Canadiens6330000016133312000007703210000096360.50016294501908889318872672076916145436412231412.90%27581.48%11290268448.06%1343275248.80%635131548.29%1922128119666531071529
5Chiefs523000001515031200000101002110000055040.4001527421190888931057267207691614853509624833.33%25484.00%01290268448.06%1343275248.80%635131548.29%1922128119666531071529
6Citadelles505000001121-1030300000814-62020000037-400.0001120310090888931217267207691613342381122428.33%18477.78%01290268448.06%1343275248.80%635131548.29%1922128119666531071529
7Croque-Morts641010002214832001000139432100000954100.83322426400908889316072672076916151487711236822.22%28389.29%01290268448.06%1343275248.80%635131548.29%1922128119666531071529
8Harvard5410000021165220000001147321000001012-280.80021406100908889317872672076916125343793301033.33%15566.67%01290268448.06%1343275248.80%635131548.29%1922128119666531071529
9Isotopes52111000181532101000076131101000119270.70018314900908889311072672076916142357511623417.39%30486.67%01290268448.06%1343275248.80%635131548.29%1922128119666531071529
10Riverman936000002430-6514000001318-5422000001112-160.333244670009088893232726720769162527114123856916.07%56885.71%11290268448.06%1343275248.80%635131548.29%1922128119666531071529
11Snipers1146010004141062301000202005230000021210100.4554175116019088893301726720769163369519528355814.55%731184.93%21290268448.06%1343275248.80%635131548.29%1922128119666531071529
12Spoonman's623100001618-221100000550412100001113-250.41716294510908889313472672076916183578911632825.00%33487.88%01290268448.06%1343275248.80%635131548.29%1922128119666531071529
13Wolves750101003417174301000020119320001001468120.85734659902908889321972672076916193454812334617.65%24387.50%01290268448.06%1343275248.80%635131548.29%1922128119666531071529
Total82343763200270259114116185200013812711411819112001321320820.500270497767259088893223172672076916225764799117364428419.00%3996783.21%41290268448.06%1343275248.80%635131548.29%1922128119666531071529
_Since Last GM Reset82403703200270259114116185200013812711412419-512001321320880.537270497767259088893223172672076916225764799117364428419.00%3996783.21%41290268448.06%1343275248.80%635131548.29%1922128119666531071529
_Vs Conference45231802200158139192399320008071922149-30200786810520.57815829645403908889312937267207691612333345799802624617.56%2243484.82%31290268448.06%1343275248.80%635131548.29%1922128119666531071529
_Vs Division20712010006571-61137010003338-5945000003233-1160.40065121186019088893533726720769165881663365211111715.32%1291985.27%31290268448.06%1343275248.80%635131548.29%1922128119666531071529

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8282W127049776722312257647991173625
Tous les Matchs
GPWLOTWOTL TGFGA
823437326270259
Matchs locaux
GPWLOTWOTL TGFGA
411618205138127
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
411819121132132
Derniers 10 Matchs
WLOTWOTL T
63001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4428419.00%3996783.21%4
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
726720769169088893
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
1290268448.06%1343275248.80%635131548.29%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1922128119666531071529


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 - 2020-09-227Snipers4Pacifiques de la route5WXR5Sommaire du Match
3 - 2020-09-2316Riverman2Pacifiques de la route5WR3Sommaire du Match
5 - 2020-09-2525Pacifiques de la route2Snipers3LSommaire du Match
6 - 2020-09-2631Snipers3Pacifiques de la route1LR5Sommaire du Match
7 - 2020-09-2736Pacifiques de la route5Snipers6LSommaire du Match
9 - 2020-09-2944Snipers4Pacifiques de la route3LR5Sommaire du Match
10 - 2020-09-3046Pacifiques de la route1Spoonman's2LSommaire du Match
11 - 2020-10-0157Wolves3Pacifiques de la route8WSommaire du Match
13 - 2020-10-0364Pacifiques de la route4Snipers3WR5Sommaire du Match
15 - 2020-10-0572Ailes Rouges1Pacifiques de la route5WSommaire du Match
17 - 2020-10-0777Pacifiques de la route2As3LSommaire du Match
19 - 2020-10-0982Pacifiques de la route4Croque-Morts1WSommaire du Match
21 - 2020-10-1191As2Pacifiques de la route2TXSommaire du Match
23 - 2020-10-1397Pacifiques de la route4Harvard2WSommaire du Match
25 - 2020-10-15105Snipers4Pacifiques de la route2LR5Sommaire du Match
27 - 2020-10-17113Banshees2Pacifiques de la route3WSommaire du Match
29 - 2020-10-19117Pacifiques de la route7Snipers4WR5Sommaire du Match
31 - 2020-10-21128As3Pacifiques de la route2LSommaire du Match
33 - 2020-10-23135Pacifiques de la route2Croque-Morts3LSommaire du Match
35 - 2020-10-25141Pacifiques de la route6Wolves0WSommaire du Match
37 - 2020-10-27146Pacifiques de la route2Canadiens0WSommaire du Match
39 - 2020-10-29152Harvard2Pacifiques de la route5WSommaire du Match
41 - 2020-10-31161Snipers5Pacifiques de la route7WR5Sommaire du Match
42 - 2020-11-01168Pacifiques de la route2Harvard8LSommaire du Match
44 - 2020-11-03174Croque-Morts4Pacifiques de la route5WXSommaire du Match
46 - 2020-11-05181Pacifiques de la route5Banshees6LSommaire du Match
47 - 2020-11-06188Canadiens2Pacifiques de la route1LSommaire du Match
49 - 2020-11-08197Banshees5Pacifiques de la route5TXSommaire du Match
50 - 2020-11-09201Pacifiques de la route2Canadiens5LSommaire du Match
52 - 2020-11-11210Pacifiques de la route6Isotopes2WSommaire du Match
53 - 2020-11-12214Pacifiques de la route0Citadelles3LSommaire du Match
55 - 2020-11-14222Citadelles5Pacifiques de la route4LSommaire du Match
56 - 2020-11-15231Canadiens4Pacifiques de la route2LSommaire du Match
58 - 2020-11-17239Chiefs0Pacifiques de la route5WSommaire du Match
60 - 2020-11-19247Pacifiques de la route1As6LSommaire du Match
61 - 2020-11-20254Pacifiques de la route3Croque-Morts1WSommaire du Match
62 - 2020-11-21260Snipers0Pacifiques de la route2WR5Sommaire du Match
65 - 2020-11-24267Chiefs7Pacifiques de la route4LSommaire du Match
66 - 2020-11-25276Pacifiques de la route1Isotopes4LSommaire du Match
67 - 2020-11-26278Pacifiques de la route2Ailes Rouges5LSommaire du Match
68 - 2020-11-27286Ailes Rouges3Pacifiques de la route3TXSommaire du Match
71 - 2020-11-30295Pacifiques de la route3Ailes Rouges4LXSommaire du Match
72 - 2020-12-01300Pacifiques de la route3Wolves4LXSommaire du Match
73 - 2020-12-02305Wolves6Pacifiques de la route6TXSommaire du Match
74 - 2020-12-03313Citadelles5Pacifiques de la route1LSommaire du Match
75 - 2020-12-04322Pacifiques de la route5Canadiens1WSommaire du Match
77 - 2020-12-06328Pacifiques de la route4Chiefs2WSommaire du Match
78 - 2020-12-07331Riverman2Pacifiques de la route1LR3Sommaire du Match
79 - 2020-12-08341Riverman6Pacifiques de la route2LSommaire du Match
80 - 2020-12-09351Croque-Morts2Pacifiques de la route3WSommaire du Match
83 - 2020-12-12358Pacifiques de la route6Ailes Rouges3WSommaire du Match
84 - 2020-12-13365Riverman4Pacifiques de la route2LR3Sommaire du Match
86 - 2020-12-15369Pacifiques de la route5Wolves2WSommaire du Match
89 - 2020-12-18379Pacifiques de la route2Riverman3LR3Sommaire du Match
90 - 2020-12-19386As4Pacifiques de la route2LSommaire du Match
92 - 2020-12-21393Pacifiques de la route4Isotopes3WXSommaire du Match
94 - 2020-12-23399Chiefs3Pacifiques de la route1LSommaire du Match
96 - 2020-12-25405Pacifiques de la route3Snipers5LR5Sommaire du Match
98 - 2020-12-27408Pacifiques de la route2Spoonman's4LSommaire du Match
100 - 2020-12-29416Harvard2Pacifiques de la route6WSommaire du Match
101 - 2020-12-30422Pacifiques de la route3Citadelles4LSommaire du Match
103 - 2021-01-01429Isotopes2Pacifiques de la route2TXSommaire du Match
104 - 2021-01-02438Wolves0Pacifiques de la route2WSommaire du Match
106 - 2021-01-04448Canadiens1Pacifiques de la route4WSommaire du Match
108 - 2021-01-06452Pacifiques de la route2Riverman5LR3Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
110 - 2021-01-08459Pacifiques de la route6As2WSommaire du Match
112 - 2021-01-10469Banshees3Pacifiques de la route2LSommaire du Match
113 - 2021-01-11472Pacifiques de la route0Banshees6LSommaire du Match
115 - 2021-01-13482Spoonman's1Pacifiques de la route2WSommaire du Match
116 - 2021-01-14490Croque-Morts3Pacifiques de la route5WSommaire du Match
117 - 2021-01-15492Pacifiques de la route4Harvard2WSommaire du Match
118 - 2021-01-16498Pacifiques de la route1Chiefs3LSommaire du Match
120 - 2021-01-18510Citadelles4Pacifiques de la route3LSommaire du Match
121 - 2021-01-19515Pacifiques de la route3As1WSommaire du Match
122 - 2021-01-20519Pacifiques de la route4Spoonman's4TXSommaire du Match
123 - 2021-01-21526Isotopes4Pacifiques de la route5WSommaire du Match
126 - 2021-01-24538Riverman4Pacifiques de la route3LR3Sommaire du Match
128 - 2021-01-26550Wolves2Pacifiques de la route4WSommaire du Match
129 - 2021-01-27554Pacifiques de la route4Riverman3WR3Sommaire du Match
132 - 2021-01-30562Pacifiques de la route4Spoonman's3WSommaire du Match
133 - 2021-01-31564Spoonman's4Pacifiques de la route3LSommaire du Match
134 - 2021-02-01571Pacifiques de la route3Riverman1WR3Sommaire 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
1,199,951$ 1,078,700$ 1,078,700$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,078,700$ 1,199,951$ 26 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 8,630$ 8,630$




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