Riverman
GP: 82 | W: 47 | L: 31 | T: 3 | P: 98
GF: 287 | GA: 250 | PP%: 22.02% | PK%: 80.70%
DG: Patrick Poulin | Morale : 61 | Moyenne d'Équipe : 61
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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
1Shaun Van AllenX100.007467586275777572677870736443415366660281650,000$
2Brent HughesX100.007965546970747465566674726845465342650281350,000$
3Mike StapletonX100.006547836771667070666966756657565457650282525,000$
4Kris Draper (R)X100.006150737272666872647265786030288979640231350,000$
5Jamie LeachX100.007864636776747564637566606350477561640251250,000$
6Jeff NielsenX100.007661666674686671606970666245478179640241150,000$
7Michael Nylander (R)X100.005241777172707172657469586435329680630222400,000$
8Valery Bure (R)X100.004538777470666673647371576526299879620203450,000$
9Dan BylsmaX100.006750736778686859566461735836337579610251150,000$
10Andrei Nazarov (R)X100.008476496580666664636856725328289779610202350,000$
11Peter Ferraro (R)X100.006559557071636461576460615830359759590211325,000$
12Yan Kaminsky (R)X100.004035787168606061586560625829288933580233400,000$
13Alexander KarpovtsevX100.006346807078707062616759755840398364640241400,000$
14Jaroslav ModryX100.005645777076717266647257765435358965640232350,000$
15Chris TherienX100.007056646483707161596652765030308979630231800,000$
16Marcus RagnarssonX100.005848676678696976647667715637298858630233456,000$
17Richard Matvichuk (R)X100.007263556274697062505850804230309770620213350,000$
18Adrian Aucoin (R)X100.005449626976666662576449734730349755610211400,000$
Rayé
1Shawn Antoski (R)X100.007972426282676759566447674535378223580242180,000$
2Sergei Brylin (R)X100.005245736971585963606656675428319719580203495,000$
3Steve Staios (R)X100.006150717075596159556145654329329620560212330,000$
4Alexei Zhitnik (R)X100.005747676774727171647162665828289636610223375,000$
5Karl Dykhuis (R)X100.007164576278636457546242774029299019600231275,000$
6Dmitri Motkov (R)X100.005449637276626461566748684231388820600232200,000$
7Aaron Ward (R)X100.006152686672606261576348774628289720600211300,000$
8Michal Sykora (R)X100.006152735980575964526944673228279820580212320,000$
9Joel Bouchard (R)X100.005049676170575951465035653327309720540202300,000$
MOYENNE D'ÉQUIPE100.00635366677566676459675770533434875161
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
1Corey Schwab100.00677076747262707469686529418350640
2Andrew Verner (R)100.00656678767358667566686227279771620
Rayé
MOYENNE D'ÉQUIPE100.0066687775736068756868642834906163
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock72777679778387CAN43295,000$


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
1Mike StapletonRiverman (VAN)C6930447422160321671874613316.04%10133419.34818266027911261693350.42%155500001.1100000572
2Shaun Van AllenRiverman (VAN)C67204565103351181801806013911.11%20150122.41821295427900093113151.49%177500110.8700001464
3Jeff NielsenRiverman (VAN)RW82342963178525153742005614017.00%4137916.82131326663360001329139.29%8400000.9100113445
4Yvon CorriveauCanucksLW69303060229597941794813616.76%9136319.771119305128600072328349.01%20200010.8800000681
5Jaroslav ModryRiverman (VAN)D63173451650080105101406916.83%81148023.50131124742690111246010.00%000100.6900000323
6Alexander KarpovtsevRiverman (VAN)D669415079001288277327311.69%85154823.4761925422720110248220.00%000000.6500000113
7Chris TherienRiverman (VAN)D821334471411151477686396115.12%89179521.89101727553340000274400.00%000000.5200001142
8Kris DraperRiverman (VAN)C822719461200581881955412713.85%22121214.793811251010000553049.28%124800000.7600000515
9Bryan EricksonCanucksLW4916254112401864142238811.27%792118.8161117342060008864055.32%9400000.8900000322
10Andrei NazarovRiverman (VAN)LW82132538013802258798449213.27%11113513.850449870000102145.33%7500000.6700000332
11Richard MatvichukRiverman (VAN)D781025356116201827383215512.05%76146818.836915432100001163000.00%000000.4800211122
12Marcus RagnarssonRiverman (VAN)D44727341930045527522439.33%4396922.033912531720110161120.00%000000.7000000202
13Valery BureRiverman (VAN)RW80101828-38014104143361056.99%5113114.151347540000493045.54%11200000.4900000021
14Randy McKayCanucksRW3681927-974101426511733896.84%1088924.71310133016000071441048.75%44100000.6100011311
15Adrian AucoinRiverman (VAN)D683192276515606230112210.00%74111116.351347640000111000.00%000000.4000101010
16Michael NylanderRiverman (VAN)C8281220-1113568771187111.27%57158.73000180004740048.71%73700000.5600100001
17Jamie LeachRiverman (VAN)RW3291019710041265993015.25%353916.87426241250001161145.71%3500100.7000000123
18Alexei ZhitnikRiverman (VAN)D5621517-735550592051410.00%4587715.67011528000086100.00%000000.3900010010
19Dan BylsmaRiverman (VAN)RW8289172120143447143317.02%45336.51000180000192054.55%3300000.6400000001
20Brent HughesRiverman (VAN)LW2531013837569364420446.82%149419.76123149620231010037.84%7400000.5300001001
21Yan KaminskyRiverman (VAN)LW4844828021531112312.90%44589.56000000000380045.16%3100000.3500000011
22Dmitri MotkovRiverman (VAN)D13145-18015843425.00%620615.9100005000023000.00%100000.4800000000
23Sergei GoncharCanucksD5145-140101013497.69%712024.14022927000019000.00%000000.8300000000
24Sergei BrylinRiverman (VAN)C241344201762416.67%1672.8200007000000050.00%6000001.1800000000
25Peter FerraroRiverman (VAN)RW661234602614103910.00%11973.00011024000000037.93%5800000.3000000000
26Aaron WardRiverman (VAN)D15022-614018122230.00%1223715.8600002000027000.00%000000.1700000000
27Karl DykhuisRiverman (VAN)D2011040401000.00%32713.920000000002000.00%000000.7200000000
28Shawn AntoskiRiverman (VAN)LW5000-220412000.00%0479.550000000008000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne14722855107951101024100175917822203656161612.94%6382377116.15971832806643453347482716471549.64%661500320.6700549424842
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
1Corey SchwabRiverman (VAN)73412630.8913.0741112221019320220.00007111222
2Andrew VernerRiverman (VAN)176600.8992.7881921383750000.00001171100
Stats d'équipe Total ou en Moyenne90473230.8933.0249304324823070220.00008282322


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
Aaron WardRiverman (VAN)D212000-02-09 9:08:37 PMYes200 Lbs6 ft2NoNoNo1Pro & Farm300,000$30,000$221$No
Adrian AucoinRiverman (VAN)D212000-02-09 9:08:37 PMYes210 Lbs6 ft2NoNoNo1Pro & Farm400,000$40,000$294$No
Alexander KarpovtsevRiverman (VAN)D241997-02-09 9:08:37 PMNo205 Lbs6 ft3NoNoNo1Pro & Farm400,000$40,000$294$No
Alexei ZhitnikRiverman (VAN)D221999-02-09 9:08:37 PMYes204 Lbs5 ft11NoNoNo3Pro & Farm375,000$37,500$276$No375,000$375,000$
Andrei NazarovRiverman (VAN)LW202001-02-09 9:08:37 PMYes228 Lbs6 ft5NoNoNo2Pro & Farm350,000$35,000$257$No350,000$
Andrew VernerRiverman (VAN)G221999-02-09 9:08:37 PMYes194 Lbs6 ft0NoNoNo1Pro & Farm200,000$20,000$147$No
Brent HughesRiverman (VAN)LW281993-02-09 9:08:37 PMNo180 Lbs5 ft11NoNoNo1Pro & Farm350,000$35,000$257$No
Chris TherienRiverman (VAN)D231998-02-09 9:08:37 PMNo230 Lbs6 ft5NoNoNo1Pro & Farm800,000$80,000$588$No
Corey SchwabRiverman (VAN)G241997-02-09 9:08:37 PMNo185 Lbs6 ft0NoNoNo2Pro & Farm150,000$15,000$110$No150,000$
Dan BylsmaRiverman (VAN)RW251996-02-09 9:08:37 PMNo215 Lbs6 ft2NoNoNo1Pro & Farm150,000$15,000$110$No
Dmitri MotkovRiverman (VAN)D231998-02-09 9:08:37 PMYes198 Lbs6 ft4NoNoNo2Pro & Farm200,000$20,000$147$No200,000$
Jamie LeachRiverman (VAN)RW251996-02-09 9:08:37 PMNo205 Lbs6 ft1NoNoNo1Pro & Farm250,000$25,000$184$No
Jaroslav ModryRiverman (VAN)D231998-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo2Pro & Farm350,000$350,000$2,574$No350,000$
Jeff NielsenRiverman (VAN)RW241997-02-09 9:08:37 PMNo200 Lbs6 ft0NoNoNo1Pro & Farm150,000$15,000$110$No
Joel BouchardRiverman (VAN)D202001-02-09 9:08:37 PMYes183 Lbs6 ft0NoNoNo2Pro & Farm300,000$30,000$221$No300,000$
Karl DykhuisRiverman (VAN)D231998-02-09 9:08:37 PMYes214 Lbs6 ft3NoNoNo1Pro & Farm275,000$27,500$202$No
Kris DraperRiverman (VAN)C231998-02-09 9:08:37 PMYes188 Lbs5 ft11NoNoNo1Pro & Farm350,000$35,000$257$No
Marcus RagnarssonRiverman (VAN)D231998-02-09 9:08:37 PMNo215 Lbs6 ft1NoNoNo3Pro & Farm456,000$456,000$3,353$No456,000$456,000$
Michael NylanderRiverman (VAN)C221999-02-09 9:08:37 PMYes194 Lbs5 ft11NoNoNo2Pro & Farm400,000$40,000$294$No400,000$
Michal SykoraRiverman (VAN)D212000-02-09 9:08:37 PMYes223 Lbs6 ft5NoNoNo2Pro & Farm320,000$32,000$235$No320,000$
Mike StapletonRiverman (VAN)C281993-02-09 9:08:37 PMNo183 Lbs5 ft10NoNoNo2Pro & Farm525,000$52,500$386$No525,000$
Peter FerraroRiverman (VAN)RW212000-02-09 9:08:37 PMYes180 Lbs5 ft10NoNoNo1Pro & Farm325,000$32,500$239$No
Richard MatvichukRiverman (VAN)D212000-02-09 9:08:37 PMYes190 Lbs6 ft2NoNoNo3Pro & Farm350,000$35,000$257$No350,000$350,000$
Sergei BrylinRiverman (VAN)C202001-02-09 9:08:37 PMYes190 Lbs5 ft10NoNoNo3Pro & Farm495,000$49,500$364$No495,000$495,000$
Shaun Van AllenRiverman (VAN)C281993-02-09 9:08:37 PMNo206 Lbs6 ft1NoNoNo1Pro & Farm650,000$65,000$478$No
Shawn AntoskiRiverman (VAN)LW241997-02-09 9:08:37 PMYes235 Lbs6 ft4NoNoNo2Pro & Farm180,000$18,000$132$No180,000$
Steve StaiosRiverman (VAN)RW212000-02-09 9:08:37 PMYes200 Lbs6 ft0NoNoNo2Pro & Farm330,000$33,000$243$No330,000$
Valery BureRiverman (VAN)RW202001-02-09 9:08:37 PMYes179 Lbs5 ft11NoNoNo3Pro & Farm450,000$45,000$331$No450,000$450,000$
Yan KaminskyRiverman (VAN)LW231998-02-09 9:08:37 PMYes176 Lbs6 ft1NoNoNo3Pro & Farm400,000$40,000$294$No400,000$400,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2922.86201 Lbs6 ft11.76352,793$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brent HughesShaun Van AllenJeff Nielsen35122
2Andrei NazarovMike StapletonJamie Leach30122
3Yan KaminskyKris DraperValery Bure20122
4Shaun Van AllenMichael NylanderDan Bylsma15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaroslav ModryAlexander Karpovtsev35122
2Chris TherienMarcus Ragnarsson30122
3Richard MatvichukAdrian Aucoin20122
4Jaroslav ModryAlexander Karpovtsev15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brent HughesShaun Van AllenJeff Nielsen60122
2Andrei NazarovMike StapletonJamie Leach40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaroslav ModryAlexander Karpovtsev60122
2Chris TherienMarcus Ragnarsson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Shaun Van AllenBrent Hughes60122
2Mike StapletonJeff Nielsen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaroslav ModryAlexander Karpovtsev60122
2Chris TherienMarcus Ragnarsson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Shaun Van Allen60122Jaroslav ModryAlexander Karpovtsev60122
2Brent Hughes40122Chris TherienMarcus Ragnarsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Shaun Van AllenBrent Hughes60122
2Mike StapletonJeff Nielsen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaroslav ModryAlexander Karpovtsev60122
2Chris TherienMarcus Ragnarsson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brent HughesShaun Van AllenJeff NielsenJaroslav ModryAlexander Karpovtsev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brent HughesShaun Van AllenJeff NielsenJaroslav ModryAlexander Karpovtsev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Peter Ferraro, Kris Draper, Michael NylanderPeter Ferraro, Kris DraperMichael Nylander
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Richard Matvichuk, Adrian Aucoin, Chris TherienRichard MatvichukAdrian Aucoin, Chris Therien
Tirs de Pénalité
Shaun Van Allen, Brent Hughes, Mike Stapleton, Jeff Nielsen, Jamie Leach
Gardien
#1 : Corey Schwab, #2 : Andrew Verner


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 Rouges5311000016124311100009722200000075270.7001626420010295891135725714770714241679930723.33%24387.50%11325267449.55%1377273950.27%640133248.05%1915127119486481076536
2As5401000018993201000084422000000105590.90018335101102958911587257147707138385311229827.59%23291.30%01325267449.55%1377273950.27%640133248.05%1915127119486481076536
3Banshees642000002520521100000660431000001914580.66725457000102958911677257147707190586111626934.62%26965.38%01325267449.55%1377273950.27%640133248.05%1915127119486481076536
4Canadiens54100000171163210000076122000000105580.8001732490110295891135725714770710126429831516.13%20385.00%01325267449.55%1377273950.27%640133248.05%1915127119486481076536
5Chiefs66000000261016220000008264400000018810121.00026477301102958911737257147707175426711638718.42%29389.66%01325267449.55%1377273950.27%640133248.05%1915127119486481076536
6Citadelles624000001720-32110000067-1413000001113-240.33317314800102958911387257147707176446510326726.92%28775.00%01325267449.55%1377273950.27%640133248.05%1915127119486481076536
7Croque-Morts623010001724-730201000715-832100000109160.50017304700102958911557257147707195577313326415.38%31583.87%11325267449.55%1377273950.27%640133248.05%1915127119486481076536
8Harvard632001002324-1421001001415-12110000099070.58323406300102958911417257147707193588911319526.32%341264.71%01325267449.55%1377273950.27%640133248.05%1915127119486481076536
9Isotopes94410000372985230000019154421100001814490.50037671041010295891296725714770727067113183501428.00%501178.00%01325267449.55%1377273950.27%640133248.05%1915127119486481076536
10Pacifiques de la route963000003024642200000121115410000018135120.667305383101029589125272571477072326615422056814.29%56983.93%01325267449.55%1377273950.27%640133248.05%1915127119486481076536
11Snipers826000002332-941300000815-7413000001517-240.250233962001029589119172571477072156113021849714.29%58886.21%11325267449.55%1377273950.27%640133248.05%1915127119486481076536
12Spoonman's642000002216643100000161062110000066080.667224062001029589115472571477071483968131381334.21%29679.31%01325267449.55%1377273950.27%640133248.05%1915127119486481076536
13Wolves523000001619-32110000079-231200000910-140.40016294500102958911217257147707134454611927414.81%22577.27%01325267449.55%1377273950.27%640133248.05%1915127119486481076536
Total82463131100287250374120172110012712254126141000016012832980.5982875127992310295891221672571477072309642102817614459822.02%4308380.70%31325267449.55%1377273950.27%640133248.05%1915127119486481076536
_Since Last GM Reset8249310110028725037412017211001271225412914-20000160128321010.6162875127992310295891221672571477072309642102817614459822.02%4308380.70%31325267449.55%1377273950.27%640133248.05%1915127119486481076536
_Vs Conference3821160100012012001979210005161-1019147-20000695910440.57912021033011102958911012725714770710563085239012173817.51%2143285.05%31325267449.55%1377273950.27%640133248.05%1915127119486481076536
_Vs Division1789000005356-3835000002026-69540000033303160.4715392145101029589144372571477074471272844381051514.29%1141785.09%11325267449.55%1377273950.27%640133248.05%1915127119486481076536

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8298L1287512799221623096421028176123
Tous les Matchs
GPWLOTWOTL TGFGA
824631113287250
Matchs locaux
GPWLOTWOTL TGFGA
412017112127122
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
412614001160128
Derniers 10 Matchs
WLOTWOTL T
55000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4459822.02%4308380.70%3
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
725714770710295891
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
1325267449.55%1377273950.27%640133248.05%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1915127119486481076536


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 - 2020-09-214Riverman7Chiefs2WSommaire du Match
2 - 2020-09-229Harvard7Riverman3LSommaire du Match
3 - 2020-09-2316Riverman2Pacifiques de la route5LSommaire du Match
4 - 2020-09-2421Riverman1Isotopes4LSommaire du Match
6 - 2020-09-2627Isotopes2Riverman6WSommaire du Match
8 - 2020-09-2837Isotopes2Riverman6WSommaire du Match
10 - 2020-09-3047Snipers1Riverman2WSommaire du Match
11 - 2020-10-0154Riverman2Snipers3LSommaire du Match
12 - 2020-10-0260Spoonman's2Riverman5WSommaire du Match
14 - 2020-10-0465Riverman1Citadelles3LSommaire du Match
16 - 2020-10-0673Riverman6Citadelles4WSommaire du Match
18 - 2020-10-0880Isotopes4Riverman2LSommaire du Match
20 - 2020-10-1088Spoonman's2Riverman5WSommaire du Match
22 - 2020-10-1295Riverman4Isotopes4TXSommaire du Match
24 - 2020-10-14102Riverman5Spoonman's4WSommaire du Match
26 - 2020-10-16108Chiefs2Riverman3WSommaire du Match
28 - 2020-10-18115Riverman7Isotopes4WSommaire du Match
30 - 2020-10-20122Citadelles3Riverman4WSommaire du Match
32 - 2020-10-22130Riverman1Spoonman's2LSommaire du Match
34 - 2020-10-24136Spoonman's2Riverman3WSommaire du Match
36 - 2020-10-26144Riverman6Isotopes2WSommaire du Match
38 - 2020-10-28150Citadelles4Riverman2LSommaire du Match
40 - 2020-10-30158Spoonman's4Riverman3LSommaire du Match
42 - 2020-11-01166Riverman6As2WSommaire du Match
43 - 2020-11-02172Isotopes3Riverman2LSommaire du Match
46 - 2020-11-05180Riverman4Croque-Morts3WSommaire du Match
47 - 2020-11-06185Riverman3Citadelles4LSommaire du Match
48 - 2020-11-07192Canadiens3Riverman4WSommaire du Match
49 - 2020-11-08199Riverman1Citadelles2LSommaire du Match
51 - 2020-11-10206Isotopes4Riverman3LSommaire du Match
52 - 2020-11-11213Riverman2Croque-Morts4LSommaire du Match
55 - 2020-11-14220Snipers6Riverman2LSommaire du Match
56 - 2020-11-15229Ailes Rouges1Riverman4WSommaire du Match
58 - 2020-11-17236Riverman4Snipers5LSommaire du Match
59 - 2020-11-18242Banshees3Riverman1LSommaire du Match
61 - 2020-11-20249Riverman3Snipers6LSommaire du Match
62 - 2020-11-21258Ailes Rouges3Riverman3TXSommaire du Match
64 - 2020-11-23263Riverman3Ailes Rouges2WSommaire du Match
65 - 2020-11-24271As2Riverman4WSommaire du Match
67 - 2020-11-26280Riverman7Harvard3WSommaire du Match
68 - 2020-11-27285Wolves5Riverman2LSommaire du Match
70 - 2020-11-29294Croque-Morts2Riverman3WXSommaire du Match
71 - 2020-11-30296Riverman4Chiefs2WSommaire du Match
73 - 2020-12-02310Riverman4Chiefs2WSommaire du Match
74 - 2020-12-03315Chiefs0Riverman5WSommaire du Match
75 - 2020-12-04323Riverman2Wolves4LSommaire du Match
77 - 2020-12-06327As2Riverman2TXSommaire du Match
78 - 2020-12-07331Riverman2Pacifiques de la route1WSommaire du Match
79 - 2020-12-08341Riverman6Pacifiques de la route2WSommaire du Match
80 - 2020-12-09345Harvard2Riverman5WSommaire du Match
83 - 2020-12-12357Snipers4Riverman3LSommaire du Match
84 - 2020-12-13365Riverman4Pacifiques de la route2WSommaire du Match
86 - 2020-12-15368Canadiens0Riverman2WSommaire du Match
89 - 2020-12-18379Pacifiques de la route2Riverman3WSommaire du Match
90 - 2020-12-19385Riverman4Croque-Morts2WSommaire du Match
92 - 2020-12-21391Riverman2Harvard6LSommaire du Match
94 - 2020-12-23397Croque-Morts7Riverman2LSommaire du Match
96 - 2020-12-25403Riverman2Banshees3LSommaire du Match
98 - 2020-12-27409Harvard2Riverman3WSommaire du Match
100 - 2020-12-29417Riverman5Banshees3WSommaire du Match
101 - 2020-12-30424As0Riverman2WSommaire du Match
103 - 2021-01-01433Riverman6Snipers3WSommaire du Match
105 - 2021-01-03440Banshees3Riverman5WSommaire du Match
106 - 2021-01-04443Riverman6Wolves2WSommaire du Match
108 - 2021-01-06452Pacifiques de la route2Riverman5WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
110 - 2021-01-08460Riverman4Ailes Rouges3WSommaire du Match
112 - 2021-01-10468Riverman3Chiefs2WSommaire du Match
113 - 2021-01-11471Harvard4Riverman3LXSommaire du Match
115 - 2021-01-13480Riverman6Canadiens3WSommaire du Match
116 - 2021-01-14485Wolves4Riverman5WSommaire du Match
118 - 2021-01-16495Ailes Rouges3Riverman2LSommaire du Match
119 - 2021-01-17501Riverman1Wolves4LSommaire du Match
120 - 2021-01-18507Riverman4Canadiens2WSommaire du Match
121 - 2021-01-19514Canadiens3Riverman1LSommaire du Match
122 - 2021-01-20523Croque-Morts6Riverman2LSommaire du Match
123 - 2021-01-21527Riverman6Banshees4WSommaire du Match
125 - 2021-01-23537Riverman6Banshees4WSommaire du Match
126 - 2021-01-24538Riverman4Pacifiques de la route3WSommaire du Match
127 - 2021-01-25545Snipers4Riverman1LSommaire du Match
129 - 2021-01-27554Pacifiques de la route4Riverman3LSommaire du Match
130 - 2021-01-28556Riverman4As3WSommaire du Match
134 - 2021-02-01571Pacifiques de la route3Riverman1LSommaire 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
1,459,222$ 1,748,500$ 1,708,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,748,500$ 1,459,222$ 29 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 13,555$ 13,555$




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