Las Vegas

GP: 78 | W: 50 | L: 21 | OTL: 7 | P: 107
GF: 293 | GA: 233 | PP%: 21.46% | PK%: 83.02%
DG: Jeremy Verville | Morale : 50 | Moyenne d'Équipe : 53
Prochain matchs #1218 vs Oceanics
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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 Moyen
1Lucas Elvenes (R)XX100.00736590656567686550685864554444050600204776,669$
2Justin DowlingXXX100.00744692706660706549585771255152050600293850,000$
3Rudolfs BalcersX100.00754597656164816828615857254949050590221525,000$
4Carsen TwarynskiX100.00924691667357755626505864254545050570212700,000$
5Nick LappinXX100.00756293676668725747475063484949050560261843,000$
6Nathan Schnarr (R)X100.00737079687067715468574661444444050560204786,669$
7Jakob StukelX100.00767090627065695350455662534444050550222525,000$
8David KaseXXX100.00716391626363665569525360504444050550221525,000$
9Joseph CramarossaXX100.006572446770667152524750585046460505402611,000,000$
10Marcus Davidsson (R)X100.00494495656956714553364544475858050500204825,000$
11Gabriel CarlssonX100.00787090787567755025414164395252050610221925,000$
12Luke WitkowskiXX100.00938669718049585327504858255657050590291700,000$
13Jake DotchinX100.00767352657958595228414167385656050580251615,000$
14Brandon HickeyX100.00787584637551534325314061384444050540232650,000$
15Noah JuulsenX100.00806090536755475425444163374545050540221895,000$
16Jacob Cederholm (R)X100.00364040406735353640363640383230050390212650,000$
Rayé
1Radovan Bondra (R)XX100.00323737377831313237323237343230050360221525,000$
2Bill ArnoldX100.00288535357525392935292935433532050340272900,000$
MOYENNE D'ÉQUIPE100.0068627661715662514146475740464605053
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
1Oscar Dansk100.0061688179596557646163304444050610
2Joseph Woll (R)100.0050648080455250554949304444050540
Rayé
1Antoine Bibeau100.0049527182454951565047304444050530
2Vasili Demchenko (R)100.0042454459424141414141393230050420
MOYENNE D'ÉQUIPE100.005157697548525054505032414105053
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Lucas ElvenesLas Vegas (Las)LW/RW76355388321601271513119022811.25%30148819.59715225719310131665545.58%21500111.18312000872
2Justin DowlingLas Vegas (Las)C/LW/RW72344882253201251713681022719.24%45156921.80613195817520281918343.08%32500001.04513000369
3Gabriel CarlssonLas Vegas (Las)D781654702770020272170571119.41%161188924.2291322522000224204500.00%000000.7400000343
4Rudolfs BalcersLas Vegas (Las)LW763333661012082136360612409.17%14153220.1678155918902251075030.97%15500010.8626000435
5Nick LappinLas Vegas (Las)LW/RW78342862161401071242889025411.81%20144618.54671350192000007350.51%9900030.8600000612
6Carsen TwarynskiLas Vegas (Las)LW782525503440144122285792178.77%12118515.200002210004442134.91%10600000.8400000520
7Nathan SchnarrLas Vegas (Las)C761335489320167207191541586.81%16140318.47191034192000111255.34%190100000.6800000041
8Dylan GambrellLas VegasC3820264610140571351753712311.43%2089823.653710209400031182057.57%119500101.0238000624
9Joseph CramarossaLas Vegas (Las)LW/RW781826445395130106228641407.89%17111914.36000180000111263.70%13500000.7900001225
10David KaseLas Vegas (Las)C/LW/RW7616274304022193174631329.20%23116415.320111170001221356.70%130500000.7401000142
11Luke WitkowskiLas Vegas (Las)RW/D78533381210715245539834675.10%89157420.191672616100021640037.50%800000.4813111032
12Jake DotchinLas Vegas (Las)D768303813795160698926768.99%126145519.15459381420001128000.00%000000.5200010201
13Noah JuulsenLas Vegas (Las)D763222514320109495520445.45%89125316.49011751000064100.00%000000.4000000120
14Brandon DavidsonLas VegasD30517221338076295114389.80%4770223.432462478000073010.00%000000.6300000232
15Brandon HickeyLas Vegas (Las)D59312153771597213910267.69%6090815.3911237000075110.00%000000.3300111110
16Jakob StukelLas Vegas (Las)LW7610414-2155544083164912.05%246318.31202520004880237.31%6700000.4412001000
17Zach TrotmanLas VegasD16156-72024252312254.35%2734321.451011245000054100.00%000000.3500000000
18Marcus DavidssonLas Vegas (Las)C280004001162340.00%01826.50000220000140055.44%19300000.0000000000
Stats d'équipe Total ou en Moyenne11652794787571876274519291719299083222039.33%8202075017.8150901404511777347361532402353.89%570400250.731545234444438
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
1Oscar DanskLas Vegas (Las)76471970.9252.9045090221829060300.78747760986
2Joseph WollLas Vegas (Las)51200.9481.81133004770011.0003076000
Stats d'équipe Total ou en Moyenne81482170.9262.8746420222229830310.800507676986


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 Salaire RestantCap 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
Antoine BibeauLas Vegas (Las)G251994-05-01No207 Lbs6 ft3NoNoNo1Pro & Farm675,000$25,403$67,500$2,540$NoLien
Bill ArnoldLas Vegas (Las)C271992-05-13No218 Lbs6 ft0NoNoNo2Pro & Farm900,000$33,870$90,000$3,387$No900,000$Lien
Brandon HickeyLas Vegas (Las)D231996-04-13No201 Lbs6 ft2NoNoNo2Pro & Farm650,000$24,462$65,000$2,446$No650,000$Lien
Carsen TwarynskiLas Vegas (Las)LW211997-11-24No198 Lbs6 ft2NoNoNo2Pro & Farm700,000$26,344$70,000$2,634$No700,000$Lien
David KaseLas Vegas (Las)C/LW/RW221997-01-28No170 Lbs5 ft11NoNoNo1Pro & Farm525,000$19,758$52,500$1,976$NoLien
Gabriel CarlssonLas Vegas (Las)D221997-01-02No192 Lbs6 ft5NoNoNo1Pro & Farm925,000$34,811$92,500$3,481$NoLien
Jacob CederholmLas Vegas (Las)D211998-01-30Yes203 Lbs6 ft3NoNoNo2Pro & Farm650,000$24,462$65,000$2,446$No650,000$Lien
Jake DotchinLas Vegas (Las)D251994-03-24No210 Lbs6 ft3NoNoNo1Pro & Farm615,000$23,145$61,500$2,315$NoLien
Jakob StukelLas Vegas (Las)LW221997-03-06No190 Lbs6 ft0NoNoNo2Pro & Farm525,000$19,758$52,500$1,976$No525,000$Lien
Joseph CramarossaLas Vegas (Las)LW/RW261992-10-26No192 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$37,634$100,000$3,763$NoLien
Joseph WollLas Vegas (Las)G211998-07-12Yes200 Lbs6 ft3NoNoNo2Pro & Farm700,000$26,344$70,000$2,634$No700,000$Lien
Justin DowlingLas Vegas (Las)C/LW/RW291990-10-01No185 Lbs5 ft10NoNoNo3Pro & Farm850,000$31,989$85,000$3,199$No850,000$850,000$Lien
Lucas ElvenesLas Vegas (Las)LW/RW201999-08-18Yes172 Lbs6 ft1NoNoNo4Pro & Farm776,669$29,229$77,667$2,923$No776,669$776,669$776,669$Lien
Luke WitkowskiLas Vegas (Las)RW/D291990-04-14No210 Lbs6 ft2NoNoNo1Pro & Farm700,000$26,344$70,000$2,634$NoLien
Marcus DavidssonLas Vegas (Las)C201998-11-18Yes192 Lbs6 ft0NoNoNo4Pro & Farm825,000$31,048$82,500$3,105$No825,000$825,000$825,000$Lien
Nathan SchnarrLas Vegas (Las)C201999-02-25Yes181 Lbs6 ft3NoNoNo4Pro & Farm786,669$29,605$78,667$2,961$No786,669$786,669$786,669$Lien
Nick LappinLas Vegas (Las)LW/RW261992-11-01No175 Lbs6 ft1NoNoNo1Pro & Farm843,000$31,725$84,300$3,173$NoLien
Noah JuulsenLas Vegas (Las)D221997-04-02No175 Lbs6 ft2NoNoNo1Pro & Farm895,000$33,682$89,500$3,368$NoLien
Oscar DanskLas Vegas (Las)G251994-02-28No195 Lbs6 ft3YesNoNo3Pro & Farm560,000$21,075$56,000$2,108$No560,000$560,000$Lien
Radovan BondraLas Vegas (Las)LW/RW221997-01-27Yes221 Lbs6 ft5NoNoNo1Pro & Farm525,000$19,758$52,500$1,976$NoLien
Rudolfs BalcersLas Vegas (Las)LW221997-04-08No165 Lbs5 ft11NoNoNo1Pro & Farm525,000$19,758$52,500$1,976$NoLien
Vasili DemchenkoLas Vegas (Las)G251994-03-16Yes165 Lbs6 ft2NoNoNo2Pro & Farm825,000$31,048$82,500$3,105$No825,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2223.41192 Lbs6 ft21.91726,197$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Justin DowlingLucas Elvenes40122
2Rudolfs BalcersNathan SchnarrNick Lappin30122
3Carsen TwarynskiDavid KaseJoseph Cramarossa20122
4Jakob StukelJustin Dowling10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gabriel Carlsson40122
2Luke WitkowskiJake Dotchin30122
3Noah JuulsenBrandon Hickey20122
4Gabriel Carlsson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Justin DowlingLucas Elvenes60122
2Rudolfs BalcersNathan SchnarrNick Lappin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gabriel Carlsson60122
2Luke WitkowskiJake Dotchin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Justin Dowling60122
2Lucas ElvenesRudolfs Balcers40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gabriel Carlsson60122
2Luke WitkowskiJake Dotchin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Gabriel Carlsson60122
2Justin Dowling40122Luke WitkowskiJake Dotchin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Justin Dowling60122
2Lucas ElvenesRudolfs Balcers40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gabriel Carlsson60122
2Luke WitkowskiJake Dotchin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Justin DowlingLucas ElvenesGabriel Carlsson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Justin DowlingLucas ElvenesGabriel Carlsson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Carsen Twarynski, David Kase, Jakob StukelCarsen Twarynski, David KaseJakob Stukel
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Noah Juulsen, Brandon Hickey, Luke WitkowskiNoah JuulsenBrandon Hickey, Luke Witkowski
Tirs de Pénalité
, Justin Dowling, Lucas Elvenes, Rudolfs Balcers, Luke Witkowski
Gardien
#1 : Oscar Dansk, #2 : Joseph Woll


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
1Admirals401001111113-22000010157-22010001066040.50011162700100929016140102710179749714655361019111.11%17476.47%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
2Baby Hawks3120000047-32110000045-11010000002-220.3334812001009290169310271017974971334024851119.09%12191.67%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
3Bears22000000853110000003211100000053241.0008122000100929016791027101797497812416468337.50%7357.14%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
4Bruins21000010752110000002111000001054141.00071118001009290167210271017974979219842900.00%30100.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
5Cabaret Lady Mary Ann220000001046110000004221100000062441.0001019290010092901610410271017974971023158712150.00%7185.71%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
6Caroline22000000853110000003211100000053241.000813210010092901680102710179749773124565240.00%10100.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
7Chiefs3100002014772100001011561000001032161.000142034001009290169610271017974971334424829222.22%12191.67%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
8Chill330000001174110000003122200000086261.0001119300010092901691102710179749712942307011327.27%15286.67%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
9Comets311000101211120100010910-11100000031240.66712172900100929016105102710179749712326306812541.67%15473.33%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
10Cougars2110000056-1110000004041010000016-520.5005813011009290167410271017974977323124811218.18%5340.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
11Crunch210000101385110000007341000001065141.00013223500100929016100102710179749793141449400.00%6350.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
12Heat321000001477211000009541100000052340.66714264001100929016159102710179749791231079800.00%4175.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
13Jayhawks53200000161153210000011742110000054160.600162945001009290162151027101797497158613811420315.00%17288.24%11441280651.35%1505303349.62%636128349.57%1912132718365701018514
14Manchots20000101810-21000000134-11000010056-120.50081422001009290166310271017974978121204010110.00%10370.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
15Marlies20001001660100010003211000000134-130.7506111700100929016611027101797497681824386233.33%11190.91%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
16Minnesota33000000166101100000061522000000105561.00016284400100929016199102710179749795316839222.22%20100.00%11441280651.35%1505303349.62%636128349.57%1912132718365701018514
17Monarchs4210001015132220000008442010001079-260.75015254000100929016161102710179749719958341045120.00%16193.75%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
18Monsters210000101183110000004221000001076141.00011193000100929016701027101797497812212626233.33%6266.67%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
19Monsters31200000810-2211000006601010000024-220.333815231010092901697102710179749710931227510110.00%100100.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
20Oceanics21100000541110000003121010000023-120.50051015001009290166510271017974971012121367228.57%70100.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
21Oil Kings31200000812-42110000067-11010000025-320.33381422001009290169510271017974971414426814125.00%13192.31%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
22Phantoms211000009811010000045-11100000053220.50091524001009290166910271017974975711185212216.67%4175.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
23Rocket21000001862110000004131000000145-130.7508152300100929016841027101797497741915458225.00%5180.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
24Senators2020000049-51010000024-21010000025-300.000471100100929016551027101797497852228438337.50%14378.57%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
25Sharks43100000181082200000010372110000087160.7501828460010092901622710271017974971473118122400.00%9188.89%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
26Sound Tigers2010000169-31000000134-11010000035-210.2506101600100929016681027101797497712916595120.00%80100.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
27Spiders2110000078-11010000024-21100000054120.5007132000100929016641027101797497901914506116.67%7185.71%11441280651.35%1505303349.62%636128349.57%1912132718365701018514
28Stars3110001012111110000005412010001077040.667122133001009290169510271017974971282722806350.00%10370.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
29Thunder22000000927110000004131100000051441.0009172600100929016921027101797497562515466350.00%5180.00%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
Total7839210121052932336041259011231541054937141200182139128111070.6862934987911210092901630641027101797497306486162919602335021.46%2654583.02%31441280651.35%1505303349.62%636128349.57%1912132718365701018514
30Wolf Pack210000101055110000006241000001043141.0001016260010092901691102710179749754181433200.00%7185.71%01441280651.35%1505303349.62%636128349.57%1912132718365701018514
_Since Last GM Reset7839210121052932336041259011231541054937141200182139128111070.6862934987911210092901630641027101797497306486162919602335021.46%2654583.02%31441280651.35%1505303349.62%636128349.57%1912132718365701018514
_Vs Conference3921120005114811137221460002089583117760003159536530.6791482554031210092901615961027101797497152642630510161192521.01%1192182.35%21441280651.35%1505303349.62%636128349.57%1912132718365701018514
_Vs Division26630002094771715410001058431511220001036342160.3089415524901100929016110210271017974971005298192669621117.74%911484.62%11441280651.35%1505303349.62%636128349.57%1912132718365701018514

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
78107W129349879130643064861629196012
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
78392112105293233
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412591123154105
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3714120182139128
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2335021.46%2654583.02%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
1027101797497100929016
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
1441280651.35%1505303349.62%636128349.57%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1912132718365701018514


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 - 2020-10-224Sharks2Las Vegas8WSommaire du Match
3 - 2020-10-2417Las Vegas6Sharks3WSommaire du Match
7 - 2020-10-2843Bruins1Las Vegas2WSommaire du Match
9 - 2020-10-3057Las Vegas4Jayhawks2WSommaire du Match
11 - 2020-11-0174Heat0Las Vegas5WSommaire du Match
12 - 2020-11-0276Las Vegas5Monarchs4WXXSommaire du Match
14 - 2020-11-0490Chill1Las Vegas3WSommaire du Match
16 - 2020-11-06105Senators4Las Vegas2LSommaire du Match
18 - 2020-11-08119Las Vegas5Manchots6LXSommaire du Match
20 - 2020-11-10130Las Vegas5Phantoms3WSommaire du Match
21 - 2020-11-11141Las Vegas0Baby Hawks2LSommaire du Match
24 - 2020-11-14155Monsters1Las Vegas3WSommaire du Match
26 - 2020-11-16176Admirals3Las Vegas2LXXSommaire du Match
30 - 2020-11-20195Rocket1Las Vegas4WSommaire du Match
32 - 2020-11-22215Oceanics1Las Vegas3WSommaire du Match
35 - 2020-11-25227Las Vegas7Monsters6WXXSommaire du Match
37 - 2020-11-27237Las Vegas3Marlies4LXXSommaire du Match
39 - 2020-11-29258Las Vegas5Bears3WSommaire du Match
40 - 2020-11-30266Las Vegas1Cougars6LSommaire du Match
43 - 2020-12-03285Baby Hawks3Las Vegas0LSommaire du Match
46 - 2020-12-06312Las Vegas2Monarchs5LSommaire du Match
47 - 2020-12-07315Heat5Las Vegas4LSommaire du Match
49 - 2020-12-09329Marlies2Las Vegas3WXSommaire du Match
51 - 2020-12-11344Sharks1Las Vegas2WSommaire du Match
53 - 2020-12-13360Oil Kings4Las Vegas1LSommaire du Match
55 - 2020-12-15371Las Vegas5Stars4WXXSommaire du Match
57 - 2020-12-17385Las Vegas3Chill2WSommaire du Match
59 - 2020-12-19399Jayhawks1Las Vegas6WSommaire du Match
62 - 2020-12-22420Las Vegas4Wolf Pack3WXXSommaire du Match
63 - 2020-12-23427Las Vegas5Spiders4WSommaire du Match
65 - 2020-12-25441Las Vegas3Sound Tigers5LSommaire du Match
68 - 2020-12-28465Wolf Pack2Las Vegas6WSommaire du Match
70 - 2020-12-30482Baby Hawks2Las Vegas4WSommaire du Match
72 - 2021-01-01492Las Vegas3Chiefs2WXXSommaire du Match
73 - 2021-01-02499Las Vegas2Stars3LSommaire du Match
75 - 2021-01-04518Comets4Las Vegas5WXXSommaire du Match
77 - 2021-01-06533Minnesota1Las Vegas6WSommaire du Match
79 - 2021-01-08547Las Vegas3Comets1WSommaire du Match
82 - 2021-01-11568Las Vegas2Sharks4LSommaire du Match
83 - 2021-01-12580Monsters5Las Vegas3LSommaire du Match
87 - 2021-01-16591Las Vegas4Admirals3WXXSommaire du Match
88 - 2021-01-17600Jayhawks5Las Vegas2LSommaire du Match
91 - 2021-01-20615Admirals4Las Vegas3LXSommaire du Match
93 - 2021-01-22638Phantoms5Las Vegas4LSommaire du Match
95 - 2021-01-24644Chiefs1Las Vegas6WSommaire du Match
98 - 2021-01-27673Manchots4Las Vegas3LXXSommaire du Match
100 - 2021-01-29686Monarchs2Las Vegas4WSommaire du Match
102 - 2021-01-31700Monsters2Las Vegas4WSommaire du Match
105 - 2021-02-03714Las Vegas6Crunch5WXXSommaire du Match
107 - 2021-02-05734Las Vegas2Senators5LSommaire du Match
109 - 2021-02-07748Las Vegas4Rocket5LXXSommaire du Match
112 - 2021-02-10761Las Vegas5Bruins4WXXSommaire du Match
122 - 2021-02-20788Las Vegas5Caroline3WSommaire du Match
123 - 2021-02-21801Las Vegas5Chill4WSommaire du Match
126 - 2021-02-24814Las Vegas5Thunder1WSommaire du Match
128 - 2021-02-26830Las Vegas6Cabaret Lady Mary Ann2WSommaire du Match
130 - 2021-02-28854Caroline2Las Vegas3WSommaire du Match
133 - 2021-03-03871Las Vegas5Minnesota3WSommaire du Match
135 - 2021-03-05889Chiefs4Las Vegas5WXXSommaire du Match
137 - 2021-03-07905Sound Tigers4Las Vegas3LXXSommaire du Match
139 - 2021-03-09918Bears2Las Vegas3WSommaire du Match
142 - 2021-03-12939Thunder1Las Vegas4WSommaire du Match
144 - 2021-03-14957Cabaret Lady Mary Ann2Las Vegas4WSommaire du Match
145 - 2021-03-15965Las Vegas2Admirals3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
148 - 2021-03-18982Oil Kings3Las Vegas5WSommaire du Match
150 - 2021-03-20997Crunch3Las Vegas7WSommaire du Match
152 - 2021-03-221016Monarchs2Las Vegas4WSommaire du Match
154 - 2021-03-241027Spiders4Las Vegas2LSommaire du Match
157 - 2021-03-271045Las Vegas2Oceanics3LSommaire du Match
159 - 2021-03-291061Las Vegas5Heat2WSommaire du Match
160 - 2021-03-301068Las Vegas2Oil Kings5LSommaire du Match
163 - 2021-04-021089Las Vegas5Minnesota2WSommaire du Match
166 - 2021-04-051110Las Vegas2Monsters4LSommaire du Match
168 - 2021-04-071130Stars4Las Vegas5WSommaire du Match
169 - 2021-04-081135Las Vegas1Jayhawks2LSommaire du Match
172 - 2021-04-111160Cougars0Las Vegas4WSommaire du Match
174 - 2021-04-131175Comets6Las Vegas4LSommaire du Match
176 - 2021-04-151190Jayhawks1Las Vegas3WSommaire du Match
180 - 2021-04-191218Las Vegas-Oceanics-
182 - 2021-04-211237Las Vegas-Oil Kings-
184 - 2021-04-231252Las Vegas-Heat-
186 - 2021-04-251268Las Vegas-Comets-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4020
Assistance61,38127,013
Assistance PCT74.85%65.89%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2156 - 71.87% 73,061$2,995,500$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,631,250$ 1,597,634$ 1,597,634$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
8,589$ 1,631,250$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 7 8,589$ 60,123$




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