Pacifiques de la route

GP: 17 | W: 9 | L: 7 | T: 1 | P: 19
GF: 63 | GA: 49 | PP%: 23.60% | PK%: 87.13%
DG: Sébustien Tessier | Morale : 52 | Moyenne d'Équipe : 63
Prochain matchs #128 vs As
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Dave Tippett (A)X100.006347736569737168667463826162671656670
2Bobby CarpenterX100.005841846575707075677475717051513147670
3Zdeno CigerX99.005346707473737374697877647226436856660
4Sheldon KennedyX100.006746817369696968667371686843297456650
5Yanic Perreault (R)X99.006050657272676870647069706628358856640
6Claude Vilgrain (A)X100.006851706376686870657573576854533356640
7Philippe BozonX100.005747706769727268647267646543465256630
8Rob MurrayX100.009576606871727360586562686042426056630
9Geoff SandersonX100.004945687373666666637576627232329753630
10Gino Odjick (C)X100.009082396779697063586357755536368257620
11Stephane Yelle (R)X100.005347706970656863596960745628309854610
12Pat FalloonX100.005648746873676966616867636431319756610
13Jyrki LummeX100.006245826377828277728168796536465456680
14Igor UlanovX100.007563596777676861586446804427417556630
15Patrice BriseboisX100.005343777076656662596863756028288956620
16Roman Hamrlik (R)X100.006050666877686872657558705228349756620
17Drake Berehowsky (R)X100.006859606279636562576450764828288948610
18Craig RivetX100.006452756272576057545740703828289751570
Rayé
1Eric LacroixX100.006954696577666968646356745428358935610
2Cory Stillman (R)X100.005244757272666866656864656230349733610
3David OliverX100.005444786973707362606566566622348233600
4Warren RychelX100.009275505976626456525658735638366133590
5Andreas Johansson (R)X100.005144766874636662586663576032299633590
6Guy Leveque (R)X100.005246646667525259566455575233369633550
7Alain CoteX100.006462495975687061566050674845486040600
MOYENNE D'ÉQUIPE99.92635268677467686561686269593538754962
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)99.00697475777475818580727034388246700
2Peter Ing100.00787970737260727669727054557556670
Rayé
MOYENNE D'ÉQUIPE99.5074777375736877817572704447795169
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
1Zdeno CigerPacifiques de la route (CAL)LW1771219680202660214711.67%334920.5422414750111490157.81%6400001.0900000100
2Jyrki LummePacifiques de la route (CAL)D17413173120123526123315.38%2243525.623361877000080100.00%000000.7800000211
3Sheldon KennedyPacifiques de la route (CAL)RW17610162140302940104015.00%331718.6725710640001461150.00%2200001.0100000100
4Yanic PerreaultPacifiques de la route (CAL)C1761016-120253751143611.76%233419.7025716700000543047.26%47400000.9600000021
5Patrice BriseboisPacifiques de la route (CAL)D176915-21009142781622.22%2337422.053581761000071000.00%000000.8000000201
6Philippe BozonPacifiques de la route (CAL)LW1777142606223763018.92%324914.6524611491013291047.37%3800001.1200000001
7Roman HamrlikPacifiques de la route (CAL)D174913-124035242291318.18%1634820.493251574011063110.00%000000.7500000101
8Bobby CarpenterPacifiques de la route (CAL)C14481234073738133410.53%027119.370559530000390056.61%40100000.8900000030
9Drake BerehowskyPacifiques de la route (CAL)D161101181954710174145.88%2029418.42145947000035000.00%000000.7500100110
10Claude VilgrainPacifiques de la route (CAL)RW1737104120271229122410.34%028416.76123875000001037.50%1600000.7000000001
11Dave TippettPacifiques de la route (CAL)LW17628-1207182641623.08%925515.0321351400011020251.85%2700000.6300000010
12Pat FalloonPacifiques de la route (CAL)RW172460002131861611.11%017610.3901113000000026.67%1500000.6800000011
13Rob MurrayPacifiques de la route (CAL)C17145132048291910165.26%119011.2000001000020039.81%20600000.5300000000
14Igor UlanovPacifiques de la route (CAL)D17044-3360481212360.00%2033919.96000721000068000.00%000000.2400000000
15Geoff SandersonPacifiques de la route (CAL)LW172241403112711107.41%117710.4400000000000055.56%900000.4500000000
16Stephane YellePacifiques de la route (CAL)C16033-10001210360.00%11086.8000000000000049.60%12500000.5500000000
17Alain CotePacifiques de la route (CAL)D321366030202100.00%04515.320000200006000.00%000001.3100000100
18Gino OdjickPacifiques de la route (CAL)LW17112017539613157.69%11347.8900009000041051.85%2700000.3000001000
19Craig RivetPacifiques de la route (CAL)D1502211401574140.00%821414.310110200008000.00%000000.1900000000
20Cory StillmanPacifiques de la route (CAL)C31012201340225.00%13612.33000111000010041.30%4600000.5400000000
21Eric LacroixPacifiques de la route (CAL)LW1000000000000.00%000.270000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne30663118181302241038435748214837013.07%134494016.1421406114171912366669549.18%147000000.7300101997
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)178610.9002.9296600474700200.0000170011
2Peter IngPacifiques de la route (CAL)21100.9512.0359002410000.0000017000
Stats d'équipe Total ou en Moyenne199710.9042.87102500495110200.00001717011


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)D261994-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo3Pro & Farm250,000$25,000$19,669$No250,000$250,000$
Andreas JohanssonPacifiques de la route (CAL)C202000-02-09 9:08:37 PMYes209 Lbs6 ft2NoNoNo3Pro & Farm400,000$40,000$31,471$No400,000$400,000$
Bobby CarpenterPacifiques de la route (CAL)C301990-02-09 9:08:37 PMNo200 Lbs6 ft0NoNoNo2Pro & Farm750,000$75,000$59,007$No750,000$
Claude VilgrainPacifiques de la route (CAL)RW301990-02-09 9:08:37 PMNo205 Lbs6 ft1NoNoNo1Pro & Farm195,000$19,500$15,342$No
Cory StillmanPacifiques de la route (CAL)C202000-02-09 9:08:37 PMYes190 Lbs6 ft0NoNoNo3Pro & Farm550,000$55,000$43,272$No550,000$550,000$
Craig RivetPacifiques de la route (CAL)D192001-02-09 9:08:37 PMNo195 Lbs6 ft2NoNoNo2Pro & Farm350,000$35,000$27,537$No350,000$
Dave TippettPacifiques de la route (CAL)LW321988-02-09 9:08:37 PMNo175 Lbs5 ft10NoNoNo1Pro & Farm650,000$65,000$51,140$No
David OliverPacifiques de la route (CAL)RW231997-02-09 9:08:37 PMNo195 Lbs6 ft0NoNoNo1Pro & Farm150,000$15,000$11,801$No
Drake BerehowskyPacifiques de la route (CAL)D221998-02-09 9:08:37 PMYes225 Lbs6 ft2NoNoNo1Pro & Farm305,000$30,500$23,996$No
Eric LacroixPacifiques de la route (CAL)LW221998-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo3Pro & Farm250,000$25,000$19,669$No250,000$250,000$
Geoff SandersonPacifiques de la route (CAL)LW211999-02-09 9:08:37 PMNo190 Lbs6 ft0NoNoNo3Pro & Farm509,000$50,900$40,046$No509,000$509,000$
Gino OdjickPacifiques de la route (CAL)LW231997-02-09 9:08:37 PMNo215 Lbs6 ft3NoNoNo1Pro & Farm230,000$23,000$18,096$No
Guy LevequePacifiques de la route (CAL)C211999-02-09 9:08:37 PMYes162 Lbs5 ft11NoNoNo3Pro & Farm400,000$40,000$31,471$No400,000$400,000$
Igor UlanovPacifiques de la route (CAL)D241996-02-09 9:08:37 PMNo211 Lbs6 ft1NoNoNo2Pro & Farm500,000$50,000$39,338$No500,000$
Jyrki LummePacifiques de la route (CAL)D271993-02-09 9:08:37 PMNo210 Lbs6 ft1NoNoNo1Pro & Farm695,000$69,500$54,680$No
Pat FalloonPacifiques de la route (CAL)RW211999-02-09 9:08:37 PMNo200 Lbs5 ft11NoNoNo3Pro & Farm450,000$45,000$35,404$No450,000$450,000$
Patrice BriseboisPacifiques de la route (CAL)D221998-02-09 9:08:37 PMNo204 Lbs6 ft2NoNoNo1Pro & Farm325,000$32,500$25,570$No
Peter IngPacifiques de la route (CAL)G241996-02-09 9:08:37 PMNo170 Lbs6 ft2NoNoNo3Pro & Farm400,000$40,000$31,471$No400,000$400,000$
Philippe BozonPacifiques de la route (CAL)LW271993-02-09 9:08:37 PMNo175 Lbs5 ft10NoNoNo2Pro & Farm370,000$37,000$29,110$No370,000$
Rob MurrayPacifiques de la route (CAL)C261994-02-09 9:08:37 PMNo180 Lbs6 ft1NoNoNo3Pro & Farm350,000$35,000$27,537$No350,000$350,000$
Roman HamrlikPacifiques de la route (CAL)D192001-02-09 9:08:37 PMYes210 Lbs6 ft2NoNoNo3Pro & Farm800,000$80,000$62,941$No800,000$800,000$
Sheldon KennedyPacifiques de la route (CAL)RW241996-02-09 9:08:37 PMNo170 Lbs5 ft10NoNoNo1Pro & Farm345,000$34,500$27,143$No
Stephane FisetPacifiques de la route (CAL)G231997-02-09 9:08:37 PMYes197 Lbs6 ft1NoNoNo3Pro & Farm613,000$61,300$48,229$No613,000$613,000$
Stephane YellePacifiques de la route (CAL)C192001-02-09 9:08:37 PMYes175 Lbs6 ft1NoNoNo3Pro & Farm425,000$42,500$33,438$No425,000$425,000$
Warren RychelPacifiques de la route (CAL)LW261994-02-09 9:08:37 PMNo205 Lbs6 ft0NoNoNo3Pro & Farm475,000$47,500$37,371$No475,000$475,000$
Yanic PerreaultPacifiques de la route (CAL)C221998-02-09 9:08:37 PMYes189 Lbs5 ft11NoNoNo2Pro & Farm200,000$20,000$15,735$No200,000$
Zdeno CigerPacifiques de la route (CAL)LW251995-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo1Pro & Farm600,000$60,000$47,206$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2723.63195 Lbs6 ft12.15427,296$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zdeno CigerBobby CarpenterSheldon Kennedy35122
2Geoff SandersonYanic PerreaultClaude Vilgrain30122
3Philippe BozonRob MurrayPat Falloon20122
4Dave TippettStephane YelleGino Odjick15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Igor UlanovJyrki Lumme35122
2Patrice BriseboisRoman Hamrlik30122
3Craig RivetDrake Berehowsky20122
4Patrice BriseboisJyrki Lumme15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zdeno CigerYanic PerreaultClaude Vilgrain60122
2Philippe BozonBobby CarpenterSheldon Kennedy40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roman HamrlikJyrki Lumme60122
2Patrice BriseboisDrake Berehowsky40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Yanic PerreaultDave Tippett60122
2Zdeno CigerSheldon Kennedy40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jyrki LummeIgor Ulanov60122
2Patrice BriseboisRoman Hamrlik40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dave Tippett60122Igor UlanovJyrki Lumme60122
2Yanic Perreault40122Roman HamrlikPatrice Brisebois40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Yanic PerreaultZdeno Ciger60122
2Rob MurrayClaude Vilgrain40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Igor UlanovJyrki Lumme60122
2Patrice BriseboisRoman Hamrlik40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zdeno CigerBobby CarpenterClaude VilgrainPatrice BriseboisJyrki Lumme
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dave TippettYanic PerreaultGino OdjickIgor UlanovJyrki Lumme
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gino Odjick, Pat Falloon, Philippe BozonGino Odjick, Pat FalloonPhilippe Bozon
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrice Brisebois, Drake Berehowsky, Igor UlanovPatrice BriseboisDrake Berehowsky, Igor Ulanov
Tirs de Pénalité
Gino Odjick, Dave Tippett, Zdeno Ciger, Sheldon Kennedy, Claude Vilgrain
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 Rouges11000000514110000005140000000000021.000591400172124141148151180321810146233.33%50100.00%029758251.03%29661548.13%13027347.62%397264406138224110
2As2011000045-1100100002201010000023-110.250471100172124161148151180355616558225.00%8187.50%029758251.03%29661548.13%13027347.62%397264406138224110
3Banshees11000000321110000003210000000000021.000358001721241201481511803261210254250.00%5180.00%029758251.03%29661548.13%13027347.62%397264406138224110
4Croque-Morts11000000413000000000001100000041321.0004812001721241201481511803205101410330.00%50100.00%029758251.03%29661548.13%13027347.62%397264406138224110
5Harvard11000000422000000000001100000042221.00047110017212414014815118032954192150.00%2150.00%029758251.03%29661548.13%13027347.62%397264406138224110
6Riverman11000000523110000005230000000000021.0005914001721241281481511803401222204125.00%100100.00%029758251.03%29661548.13%13027347.62%397264406138224110
7Snipers825010002931-2403010001115-4422000001816260.37529558400172124121614815118032546512120745715.56%541081.48%129758251.03%29661548.13%13027347.62%397264406138224110
8Spoonman's1010000012-1000000000001010000012-100.000123001721241201481511803371119184125.00%60100.00%029758251.03%29661548.13%13027347.62%397264406138224110
Total17871100063491494311000342598440000029245190.559631181810017212414821481511803511134224384892123.60%1011387.13%129758251.03%29661548.13%13027347.62%397264406138224110
10Wolves11000000835110000008350000000000021.00081624001721241361481511803291012126233.33%60100.00%029758251.03%29661548.13%13027347.62%397264406138224110
_Since Last GM Reset1797010006349149431100034259854-1000029245200.588631181810017212414821481511803511134224384892123.60%1011387.13%129758251.03%29661548.13%13027347.62%397264406138224110
_Vs Conference1476010005543128331100031238643-1000024204160.571551041590017212414021481511803419106191322791721.52%881187.50%129758251.03%29661548.13%13027347.62%397264406138224110
_Vs Division9350100034331513010001617-1422000001816280.44434649800172124124414815118032947714322749816.33%641084.38%129758251.03%29661548.13%13027347.62%397264406138224110

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1719W26311818148251113422438400
Tous les Matchs
GPWLOTWOTL TGFGA
17871016349
Matchs locaux
GPWLOTWOTL TGFGA
9431013425
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
8440002924
Derniers 10 Matchs
WLOTWOTL T
72001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
892123.60%1011387.13%1
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
14815118031721241
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
29758251.03%29661548.13%13027347.62%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
397264406138224110


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 - 2020-10-21128As-Pacifiques de la route-
33 - 2020-10-23135Pacifiques de la route-Croque-Morts-R5
35 - 2020-10-25141Pacifiques de la route-Wolves-
37 - 2020-10-27146Pacifiques de la route-Canadiens-R5
39 - 2020-10-29152Harvard-Pacifiques de la route-
41 - 2020-10-31161Snipers-Pacifiques de la route-R5
42 - 2020-11-01168Pacifiques de la route-Harvard-
44 - 2020-11-03174Croque-Morts-Pacifiques de la route-R5
46 - 2020-11-05181Pacifiques de la route-Banshees-
47 - 2020-11-06188Canadiens-Pacifiques de la route-R5
49 - 2020-11-08197Banshees-Pacifiques de la route-
50 - 2020-11-09201Pacifiques de la route-Canadiens-R5
52 - 2020-11-11210Pacifiques de la route-Isotopes-
53 - 2020-11-12214Pacifiques de la route-Citadelles-R5
55 - 2020-11-14222Citadelles-Pacifiques de la route-
56 - 2020-11-15231Canadiens-Pacifiques de la route-R5
58 - 2020-11-17239Chiefs-Pacifiques de la route-
60 - 2020-11-19247Pacifiques de la route-As-R5
61 - 2020-11-20254Pacifiques de la route-Croque-Morts-
62 - 2020-11-21260Snipers-Pacifiques de la route-R5
65 - 2020-11-24267Chiefs-Pacifiques de la route-
66 - 2020-11-25276Pacifiques de la route-Isotopes-R5
67 - 2020-11-26278Pacifiques de la route-Ailes Rouges-
68 - 2020-11-27286Ailes Rouges-Pacifiques de la route-R5
71 - 2020-11-30295Pacifiques de la route-Ailes Rouges-
72 - 2020-12-01300Pacifiques de la route-Wolves-R5
73 - 2020-12-02305Wolves-Pacifiques de la route-
74 - 2020-12-03313Citadelles-Pacifiques de la route-R5
75 - 2020-12-04322Pacifiques de la route-Canadiens-
77 - 2020-12-06328Pacifiques de la route-Chiefs-R5
78 - 2020-12-07331Riverman-Pacifiques de la route-
79 - 2020-12-08341Riverman-Pacifiques de la route-R5
80 - 2020-12-09351Croque-Morts-Pacifiques de la route-
83 - 2020-12-12358Pacifiques de la route-Ailes Rouges-R5
84 - 2020-12-13365Riverman-Pacifiques de la route-
86 - 2020-12-15369Pacifiques de la route-Wolves-R5
89 - 2020-12-18379Pacifiques de la route-Riverman-
90 - 2020-12-19386As-Pacifiques de la route-R5
92 - 2020-12-21393Pacifiques de la route-Isotopes-
94 - 2020-12-23399Chiefs-Pacifiques de la route-R5
96 - 2020-12-25405Pacifiques de la route-Snipers-
98 - 2020-12-27408Pacifiques de la route-Spoonman's-R5
100 - 2020-12-29416Harvard-Pacifiques de la route-
101 - 2020-12-30422Pacifiques de la route-Citadelles-R5
103 - 2021-01-01429Isotopes-Pacifiques de la route-
104 - 2021-01-02438Wolves-Pacifiques de la route-R5
106 - 2021-01-04448Canadiens-Pacifiques de la route-
108 - 2021-01-06452Pacifiques de la route-Riverman-R5
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
110 - 2021-01-08459Pacifiques de la route-As-
112 - 2021-01-10469Banshees-Pacifiques de la route-R5
113 - 2021-01-11472Pacifiques de la route-Banshees-
115 - 2021-01-13482Spoonman's-Pacifiques de la route-R5
116 - 2021-01-14490Croque-Morts-Pacifiques de la route-
117 - 2021-01-15492Pacifiques de la route-Harvard-R5
118 - 2021-01-16498Pacifiques de la route-Chiefs-
120 - 2021-01-18510Citadelles-Pacifiques de la route-R5
121 - 2021-01-19515Pacifiques de la route-As-
122 - 2021-01-20519Pacifiques de la route-Spoonman's-R5
123 - 2021-01-21526Isotopes-Pacifiques de la route-
126 - 2021-01-24538Riverman-Pacifiques de la route-R5
128 - 2021-01-26550Wolves-Pacifiques de la route-
129 - 2021-01-27554Pacifiques de la route-Riverman-R5
132 - 2021-01-30562Pacifiques de la route-Spoonman's-
133 - 2021-01-31564Spoonman's-Pacifiques de la route-R5
134 - 2021-02-01571Pacifiques de la route-Riverman-



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
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
263,845$ 1,153,700$ 1,153,700$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,153,700$ 263,845$ 27 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 107 9,182$ 982,474$




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
19931787110006349149431100034259844000002924519631181810017212414821481511803511134224384892123.60%1011387.13%129758251.03%29661548.13%13027347.62%397264406138224110
Total Saison Régulière1787110006349149431100034259844000002924519631181810017212414821481511803511134224384892123.60%1011387.13%129758251.03%29661548.13%13027347.62%397264406138224110