Riverman

GP: 53 | W: 29 | L: 21 | T: 3 | P: 61
GF: 186 | GA: 156 | PP%: 23.10% | PK%: 80.38%
DG: Patrick Poulin | Morale : 56 | Moyenne d'Équipe : 62
Prochain matchs #379 vs Pacifiques de la route
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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 AllenX100.007467586275777572677870736443415358660271650,000$
2Yvon CorriveauX100.007563626572676678697973676439376061660263400,000$
3Brent HughesX100.007965546970747465566674726845465349650271350,000$
4Mike StapletonX100.006547836771667070666966756657565445650272525,000$
5Kris Draper (R)X100.006150737272666872647265786030288969640221350,000$
6Jamie LeachX100.007864636776747564637566606350477549640241250,000$
7Jeff NielsenX100.007661666674686671606970666245478172640231150,000$
8Michael Nylander (R)X100.005241777172707172657469586435329669630212400,000$
9Valery Bure (R)X100.004538777470666673647371576526299869620193450,000$
10Dan BylsmaX100.006750736778686859566461735836337569610241150,000$
11Andrei Nazarov (R)X100.008476496580666664636856725328289769610192350,000$
12Peter Ferraro (R)X100.006559557071636461576460615830359747590201325,000$
13Alexander KarpovtsevX100.006346807078707062616759755840398352640231400,000$
14Jaroslav ModryX100.005645777076717266647257765435358953640222350,000$
15Chris TherienX100.007056646483707161596652765030308970630221800,000$
16Marcus RagnarssonX100.005848676678696976647667715637298846630223456,000$
17Richard Matvichuk (R)X100.007263556274697062505850804230309776620203350,000$
18Alexei Zhitnik (R)X100.005747676774727171647162665828289644610213375,000$
Rayé
1Shawn Antoski (R)X100.007972426282676759566447674535378250580232180,000$
2Yan Kaminsky (R)X100.004035787168606061586560625829288938580223400,000$
3Sergei Brylin (R)X100.005245736971585963606656675428319720580193495,000$
4Steve Staios (R)X100.006150717075596159556145654329329620560202330,000$
5Adrian Aucoin (R)XS15449626976666662576449734730349761610201400,000$
6Karl Dykhuis (R)X100.007164576278636457546242774029299019600221275,000$
7Dmitri Motkov (R)X100.005449637276626461566748684231388820600222200,000$
8Aaron Ward (R)X100.006152686672606261576348774628289725600201300,000$
9Michal Sykora (R)X100.006152735980575964526944673228279820580202320,000$
10Joel Bouchard (R)X100.005049676170575951465035653327309720540192300,000$
MOYENNE D'ÉQUIPE100.00645466677566676559685869543434864961
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 Schwab100.00677076747262707469686529418348640
2Andrew Verner (R)100.00656678767358667566686227279769620
Rayé
MOYENNE D'ÉQUIPE100.0066687775736068756868642834905963
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
1Shaun Van AllenRiverman (VAN)C441429431023554115119378811.76%1493121.16716234320200051961152.27%103700010.9200001233
2Jeff NielsenRiverman (VAN)RW5322204210672512048121339518.18%289816.961192049225000164140.00%5500000.9300113233
3Bryan EricksonCanucksLW4916254112401864142238811.27%792118.8161117342060008864055.32%9400000.8900000322
4Mike StapletonRiverman (VAN)C4015264151402685102247914.71%575118.7951318361670005812153.54%82000001.0900000142
5Yvon CorriveauRiverman (VAN)LW4818224041956369127339614.17%692219.22814223520800061366248.25%14300000.8700000480
6Kris DraperRiverman (VAN)C53181331210035108132398113.64%1477614.6517814700000292044.39%79300000.8000000413
7Richard MatvichukRiverman (VAN)D53102131785151385874174613.51%54111621.076814422030001153000.00%000000.5600201112
8Alexander KarpovtsevRiverman (VAN)D37722298460654438164818.42%3986423.385914231630110129220.00%000000.6700000112
9Jaroslav ModryRiverman (VAN)D341118296300354855244720.00%4179623.438614401590001122000.00%000000.7300000210
10Chris TherienRiverman (VAN)D53821294575734856254414.29%48118122.2861319372230000174200.00%000000.4900001112
11Randy McKayCanucksRW3681927-974101426511733896.84%1088924.71310133016000071441048.75%44100000.6100011311
12Andrei NazarovRiverman (VAN)LW539152418201395064246114.06%868712.98000326000062140.38%5200000.7000000211
13Valery BureRiverman (VAN)RW51615212206678825746.82%272914.311347540000261045.31%6400000.5800000011
14Adrian AucoinRiverman (VAN)D52313162481045492772011.11%5685916.52134760000080000.00%000000.3700100010
15Alexei ZhitnikRiverman (VAN)D3911213-22403841155126.67%3161615.81011424000054000.00%000000.4200000010
16Michael NylanderRiverman (VAN)C535712-84025949155410.20%55009.45000060003460049.61%51400000.4800000001
17Dan BylsmaRiverman (VAN)RW53461002013253192612.90%33977.49000050000152060.00%2500000.5000000001
18Marcus RagnarssonRiverman (VAN)D1509971202014189130.00%1634723.200331362000051000.00%000000.5200000000
19Dmitri MotkovRiverman (VAN)D13145-18015843425.00%620615.9100005000023000.00%100000.4800000000
20Yan KaminskyRiverman (VAN)LW302350200102061610.00%42418.06000000000230060.00%1500000.4100000011
21Sergei GoncharCanucksD5145-140101013497.69%712024.14022927000019000.00%000000.8300000000
22Sergei BrylinRiverman (VAN)C241344201762416.67%1672.8200007000000050.00%6000001.1800000000
23Aaron WardRiverman (VAN)D15022-614018122230.00%1223715.8600002000027000.00%000000.1700000000
24Brent HughesRiverman (VAN)LW311212011774914.29%05919.84011215101213000.00%100000.6700000001
25Jamie LeachRiverman (VAN)RW32020002370228.57%04816.211013110000000100.00%200100.8200000001
26Peter FerraroRiverman (VAN)RW371123602312102610.00%11494.03000012000000042.86%2800000.2700000000
27Karl DykhuisRiverman (VAN)D2011040401000.00%32713.920000000002000.00%000000.7200000000
28Shawn AntoskiRiverman (VAN)LW2000-200112000.00%03015.460000000005000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne9501843325165964575111711271447421111412.72%3951538116.1969129198431231711239165829849.79%414500110.6700427263127
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)49261930.8903.0427812114112800210.0000494121
2Andrew VernerRiverman (VAN)83200.9272.0540921141920000.0000449100
Stats d'équipe Total ou en Moyenne57292130.8952.9131914215514720210.00005353221


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)D202000-02-09 9:08:37 PMYes200 Lbs6 ft2NoNoNo1Pro & Farm300,000$30,000$10,588$No
Adrian AucoinRiverman (VAN)D202000-02-09 9:08:37 PMYes210 Lbs6 ft2NoNoNo1Pro & Farm400,000$40,000$14,118$No
Alexander KarpovtsevRiverman (VAN)D231997-02-09 9:08:37 PMNo205 Lbs6 ft3NoNoNo1Pro & Farm400,000$40,000$14,118$No
Alexei ZhitnikRiverman (VAN)D211999-02-09 9:08:37 PMYes204 Lbs5 ft11NoNoNo3Pro & Farm375,000$37,500$13,235$No375,000$375,000$
Andrei NazarovRiverman (VAN)LW192001-02-09 9:08:37 PMYes228 Lbs6 ft5NoNoNo2Pro & Farm350,000$35,000$12,353$No350,000$
Andrew VernerRiverman (VAN)G211999-02-09 9:08:37 PMYes194 Lbs6 ft0NoNoNo1Pro & Farm200,000$20,000$7,059$No
Brent HughesRiverman (VAN)LW271993-02-09 9:08:37 PMNo180 Lbs5 ft11NoNoNo1Pro & Farm350,000$35,000$12,353$No
Chris TherienRiverman (VAN)D221998-02-09 9:08:37 PMNo230 Lbs6 ft5NoNoNo1Pro & Farm800,000$80,000$28,235$No
Corey SchwabRiverman (VAN)G231997-02-09 9:08:37 PMNo185 Lbs6 ft0NoNoNo2Pro & Farm150,000$15,000$5,294$No150,000$
Dan BylsmaRiverman (VAN)RW241996-02-09 9:08:37 PMNo215 Lbs6 ft2NoNoNo1Pro & Farm150,000$15,000$5,294$No
Dmitri MotkovRiverman (VAN)D221998-02-09 9:08:37 PMYes198 Lbs6 ft4NoNoNo2Pro & Farm200,000$20,000$7,059$No200,000$
Jamie LeachRiverman (VAN)RW241996-02-09 9:08:37 PMNo205 Lbs6 ft1NoNoNo1Pro & Farm250,000$25,000$8,824$No
Jaroslav ModryRiverman (VAN)D221998-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo2Pro & Farm350,000$350,000$123,529$No350,000$
Jeff NielsenRiverman (VAN)RW231997-02-09 9:08:37 PMNo200 Lbs6 ft0NoNoNo1Pro & Farm150,000$15,000$5,294$No
Joel BouchardRiverman (VAN)D192001-02-09 9:08:37 PMYes183 Lbs6 ft0NoNoNo2Pro & Farm300,000$30,000$10,588$No300,000$
Karl DykhuisRiverman (VAN)D221998-02-09 9:08:37 PMYes214 Lbs6 ft3NoNoNo1Pro & Farm275,000$27,500$9,706$No
Kris DraperRiverman (VAN)C221998-02-09 9:08:37 PMYes188 Lbs5 ft11NoNoNo1Pro & Farm350,000$35,000$12,353$No
Marcus RagnarssonRiverman (VAN)D221998-02-09 9:08:37 PMNo215 Lbs6 ft1NoNoNo3Pro & Farm456,000$456,000$160,941$No456,000$456,000$
Michael NylanderRiverman (VAN)C211999-02-09 9:08:37 PMYes194 Lbs5 ft11NoNoNo2Pro & Farm400,000$40,000$14,118$No400,000$
Michal SykoraRiverman (VAN)D202000-02-09 9:08:37 PMYes223 Lbs6 ft5NoNoNo2Pro & Farm320,000$32,000$11,294$No320,000$
Mike StapletonRiverman (VAN)C271993-02-09 9:08:37 PMNo183 Lbs5 ft10NoNoNo2Pro & Farm525,000$52,500$18,529$No525,000$
Peter FerraroRiverman (VAN)RW202000-02-09 9:08:37 PMYes180 Lbs5 ft10NoNoNo1Pro & Farm325,000$32,500$11,471$No
Richard MatvichukRiverman (VAN)D202000-02-09 9:08:37 PMYes190 Lbs6 ft2NoNoNo3Pro & Farm350,000$35,000$12,353$No350,000$350,000$
Sergei BrylinRiverman (VAN)C192001-02-09 9:08:37 PMYes190 Lbs5 ft10NoNoNo3Pro & Farm495,000$49,500$17,471$No495,000$495,000$
Shaun Van AllenRiverman (VAN)C271993-02-09 9:08:37 PMNo206 Lbs6 ft1NoNoNo1Pro & Farm650,000$65,000$22,941$No
Shawn AntoskiRiverman (VAN)LW231997-02-09 9:08:37 PMYes235 Lbs6 ft4NoNoNo2Pro & Farm180,000$18,000$6,353$No180,000$
Steve StaiosRiverman (VAN)RW202000-02-09 9:08:37 PMYes200 Lbs6 ft0NoNoNo2Pro & Farm330,000$33,000$11,647$No330,000$
Valery BureRiverman (VAN)RW192001-02-09 9:08:37 PMYes179 Lbs5 ft11NoNoNo3Pro & Farm450,000$45,000$15,882$No450,000$450,000$
Yan KaminskyRiverman (VAN)LW221998-02-09 9:08:37 PMYes176 Lbs6 ft1NoNoNo3Pro & Farm400,000$40,000$14,118$No400,000$400,000$
Yvon CorriveauRiverman (VAN)LW261994-02-09 9:08:37 PMNo194 Lbs6 ft1NoNoNo3Pro & Farm400,000$40,000$14,118$No400,000$400,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3022.00200 Lbs6 ft11.80354,367$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Yvon CorriveauShaun Van AllenJamie Leach35122
2Brent HughesMike StapletonJeff Nielsen30122
3Andrei NazarovKris DraperValery Bure20122
4Shaun Van AllenMichael NylanderDan Bylsma15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaroslav ModryAlexander Karpovtsev35122
2Marcus RagnarssonChris Therien30122
3Richard MatvichukAlexei Zhitnik20122
4Jaroslav ModryAlexander Karpovtsev15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Yvon CorriveauShaun Van AllenJamie Leach60122
2Brent HughesMike StapletonJeff Nielsen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaroslav ModryAlexander Karpovtsev60122
2Marcus RagnarssonChris Therien40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Shaun Van AllenYvon Corriveau60122
2Brent HughesMike Stapleton40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaroslav ModryAlexander Karpovtsev60122
2Marcus RagnarssonChris Therien40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Shaun Van Allen60122Jaroslav ModryAlexander Karpovtsev60122
2Yvon Corriveau40122Marcus RagnarssonChris Therien40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Shaun Van AllenYvon Corriveau60122
2Brent HughesMike Stapleton40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jaroslav ModryAlexander Karpovtsev60122
2Marcus RagnarssonChris Therien40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Yvon CorriveauShaun Van AllenJamie LeachJaroslav ModryAlexander Karpovtsev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Yvon CorriveauShaun Van AllenJamie LeachJaroslav 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, Alexei Zhitnik, Marcus RagnarssonRichard MatvichukAlexei Zhitnik, Marcus Ragnarsson
Tirs de Pénalité
Shaun Van Allen, Yvon Corriveau, Brent Hughes, Mike Stapleton, 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 Rouges320100001064210100007431100000032150.8331017270074575418748845651068423345919526.32%11281.82%0873173050.46%853171149.85%39683447.48%12678471233413699350
2As320100001266210100006421100000062450.83312213300745754110348845651068526356621523.81%14285.71%0873173050.46%853171149.85%39683447.48%12678471233413699350
3Banshees1010000013-21010000013-20000000000000.0001230074575411848845651062888203133.33%4250.00%0873173050.46%853171149.85%39683447.48%12678471233413699350
4Canadiens22000000633220000006330000000000041.00061117017457541314884565106253143411218.18%7185.71%0873173050.46%853171149.85%39683447.48%12678471233413699350
5Chiefs550000002381522000000826330000001569101.000234265017457541153488456510614232539731619.35%23386.96%0873173050.46%853171149.85%39683447.48%12678471233413699350
6Citadelles624000001720-32110000067-1413000001113-240.3331731480074575411384884565106176446510326726.92%28775.00%0873173050.46%853171149.85%39683447.48%12678471233413699350
7Croque-Morts31101000990100010003212110000067-140.667917260074575419448845651067219317318211.11%12191.67%0873173050.46%853171149.85%39683447.48%12678471233413699350
8Harvard32100000151232110000089-11100000073440.6671526410074575415748845651061183353538337.50%17758.82%0873173050.46%853171149.85%39683447.48%12678471233413699350
9Isotopes94410000372985230000019154421100001814490.5003767104107457541296488456510627067113183501428.00%501178.00%0873173050.46%853171149.85%39683447.48%12678471233413699350
10Pacifiques de la route431000001410400000000000431000001410460.7501424380074575411224884565106105396510328725.00%22481.82%0873173050.46%853171149.85%39683447.48%12678471233413699350
11Snipers615000001625-931200000711-430300000914-520.1671628440074575411564884565106158479615337513.51%42588.10%1873173050.46%853171149.85%39683447.48%12678471233413699350
12Spoonman's642000002216643100000161062110000066080.66722406200745754115448845651061483968131381334.21%29679.31%0873173050.46%853171149.85%39683447.48%12678471233413699350
Total53282131000186156302714102100089751426141110000978116610.57518633452012745754114604884565106147339964911193037023.10%2655280.38%1873173050.46%853171149.85%39683447.48%12678471233413699350
13Wolves2020000049-51010000025-31010000024-200.0004812007457541514884565106621914441300.00%6183.33%0873173050.46%853171149.85%39683447.48%12678471233413699350
_Since Last GM Reset533121010001861563027141021000897514261711-20000978116640.60418633452012745754114604884565106147339964911193037023.10%2655280.38%1873173050.46%853171149.85%39683447.48%12678471233413699350
_Vs Conference211190100065650933210002526-11286-2000040391240.5716511518000745754161348845651065661732754981362417.65%1071585.98%1873173050.46%853171149.85%39683447.48%12678471233413699350
_Vs Division1046000003035-531200000711-4734000002324-180.400305282007457541278488456510626386161256651218.46%64985.94%1873173050.46%853171149.85%39683447.48%12678471233413699350

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5361W218633452014601473399649111912
Tous les Matchs
GPWLOTWOTL TGFGA
532821103186156
Matchs locaux
GPWLOTWOTL TGFGA
2714101028975
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
2614110019781
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
3037023.10%2655280.38%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
48845651067457541
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
873173050.46%853171149.85%39683447.48%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12678471233413699350


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 route-Riverman-
90 - 2020-12-19385Riverman-Croque-Morts-
92 - 2020-12-21391Riverman-Harvard-
94 - 2020-12-23397Croque-Morts-Riverman-
96 - 2020-12-25403Riverman-Banshees-
98 - 2020-12-27409Harvard-Riverman-
100 - 2020-12-29417Riverman-Banshees-
101 - 2020-12-30424As-Riverman-
103 - 2021-01-01433Riverman-Snipers-
105 - 2021-01-03440Banshees-Riverman-
106 - 2021-01-04443Riverman-Wolves-
108 - 2021-01-06452Pacifiques de la route-Riverman-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
110 - 2021-01-08460Riverman-Ailes Rouges-
112 - 2021-01-10468Riverman-Chiefs-
113 - 2021-01-11471Harvard-Riverman-
115 - 2021-01-13480Riverman-Canadiens-
116 - 2021-01-14485Wolves-Riverman-
118 - 2021-01-16495Ailes Rouges-Riverman-
119 - 2021-01-17501Riverman-Wolves-
120 - 2021-01-18507Riverman-Canadiens-
121 - 2021-01-19514Canadiens-Riverman-
122 - 2021-01-20523Croque-Morts-Riverman-
123 - 2021-01-21527Riverman-Banshees-
125 - 2021-01-23537Riverman-Banshees-
126 - 2021-01-24538Riverman-Pacifiques de la route-
127 - 2021-01-25545Snipers-Riverman-
129 - 2021-01-27554Pacifiques de la route-Riverman-
130 - 2021-01-28556Riverman-As-
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
14 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
815,668$ 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$ 815,668$ 30 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 48 13,555$ 650,640$




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