Admirals

GP: 82 | W: 37 | L: 36 | OTL: 9 | P: 83
GF: 286 | GA: 293 | PP%: 19.14% | PK%: 74.59%
DG: Jean-François Dos Santos | Morale : 50 | Moyenne d'Équipe : 46
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Remi Elie (R)X100.00623588677362705335505667483734050580
2Nic DowdXX100.00643584716859564785445062454336050550
3Ryan ReavesX100.00896668617854744845455050485750050550
4Drew ShoreX100.00564385647258394653494263474741050530
5Jayson MegnaXX100.00473592636753384950435457484541050520
6Michael BournivalXX100.00523594666755364835425451484540050510
7Dennis EverbergXX100.00513590647249384236424266463532050500
8Tye McGinnXX100.00524383677250334335414459464338050500
9Trent Frederic (R)X100.00505050507550505050505050503230050500
10Luke GazdicX100.00595072618046353835334262474538050490
11Dominic Turgeon (R)X100.00493585726953353556353569483532050490
12Rocco GrimaldiXX100.00473592695259404235414258483936050490
13Linus Hultstrom (R)X100.00454545455545454545454545453230050450
14James Greenway (R)X100.00434343436843434343434343433230050440
15Ryan Collins (R)X100.00414545456839394145414145433230050440
16Jonathan-Ismael Diaby (R)X100.00394343437637373943393943413230050430
17Justin Sefton (R)X100.00394343436937373943393943413230050430
Rayé
1Matt LoritoXX100.00453594804952333535363366473532050480
2Zack Phillips (R)X100.00455049495343434549454550473230050460
3Patrick Russell (R)XX100.00454545457145454545454545453230050460
4Malte Stromwall (R)XX100.00454545455445454545454545453230050450
5Garrett Pilon (R)X100.00434343435943434343434343433230050440
6Michael KeranenXXX100.00453593705140313235323256463532050440
7Raphael Bussieres (R)X100.00414545456739394145414145433230050440
8Brendan Warren (R)X100.00414343436440404143414143423230050430
9Cameron Abney (R)X100.00394343437237373943393943413230050420
10Connor Chatham (R)X100.00394343437737373943393943413230050420
11Josh Birkholz (R)X100.00394343436337373943393943413230050420
12Christophe Lalancette (R)X100.00364040405035353640363640383230050390
13Emil Molin (R)X100.00364040405035353640363640383230050390
14Philip McRaeX100.00309228446929323135313147453532050390
15Drew OlsonX100.00364040407035353640363640383230050410
16Shawn LalondeX100.00308733336729403135313133453532050370
MOYENNE D'ÉQUIPE100.0046456053664541414341425044363305046
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
1Christopher Gibson (R)100.0037457968374850384595533734050500
2Spencer Martin (R)100.0028455780314343334362603532050450
Rayé
1Ales Stezka (R)100.0039403971393838383838373230050420
2Alexander Pechurski100.0032363468333333333333333532050380
MOYENNE D'ÉQUIPE100.003442527235414136405746353205044
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'ÉquipePOS GP 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
1Nic DowdAdmirals (Ana)C/RW7032427414260792052636918212.17%33143520.516142058230202102504267.18%143200011.0315000951
2Dennis EverbergAdmirals (Ana)LW/RW8228467411200551442335615312.02%31132016.116612501840000316138.98%11800001.1200000278
3Jayson MegnaAdmirals (Ana)LW/RW8228447212403912427310519910.26%23146317.85415195625900071354257.14%14000010.9824000237
4Drew ShoreAdmirals (Ana)C6324456920355741451894711612.70%37120519.13715224718910141392255.17%120900021.1525100834
5Michael BournivalAdmirals (Ana)LW/RW68233760-620048761895414212.17%10116517.139918422140001673153.16%7900001.0313000324
6Trent FredericAdmirals (Ana)C82223658-2109351451181555210414.19%5122614.95481218860000563052.55%121400000.9502214251
7Tye McGinnAdmirals (Ana)LW/RW82164157612076116192481578.33%30121514.8326818700004781047.92%9600000.9400000123
8Ryan ReavesAdmirals (Ana)RW48202646271152516269133319715.04%1191819.1468143015101171275149.61%25400001.0004014453
9Rocco GrimaldiAdmirals (Ana)C/RW82122537614021110155461177.74%1499512.141015180003341041.97%30500010.7400000030
10Luke GazdicAdmirals (Ana)LW82141226-543510765103308113.59%2990211.000110100002390150.79%6300000.5800010013
11Joshua Ho-SangAnaheimRW21816241140157467193811.94%1147022.3931412730111740050.21%23900001.0201000040
12Gustav OlofssonAnaheimD26914231100233551192817.65%4658822.651343073000081100.00%000000.7801000020
13Remi ElieAdmirals (Ana)LW17716238004407117449.86%1638422.6313416530003610041.03%15600011.2012000130
14Dominic TurgeonAdmirals (Ana)C728917-818030919130718.79%4676010.560223220000630059.01%52700000.4511000100
15Lukas BengtssonAnaheimD6541216225601041637112110.81%62134920.77224121890000176100.00%000000.2400000001
16Ryan CollinsAdmirals (Ana)D8231316118601171719111115.79%76154918.9013491830000182100.00%000000.2100000011
17Matt LoritoAdmirals (Ana)LW/RW4631215-3204475626425.36%124279.2800036000170037.14%3500000.7000000000
18Dillon HeatheringtonAnaheimD20651112553210204930.00%3132416.242131042000042010.00%000000.6800100201
19Linus HultstromAdmirals (Ana)D82291116640131242910236.90%79171320.89123122240000226000.00%000000.1300000000
20Zack PhillipsAdmirals (Ana)C313690120151732779.38%22086.740334160000180050.35%14100000.8600000010
21James GreenwayAdmirals (Ana)D802685615151202210189.09%66153619.20112121970000183100.00%100000.1000010010
22Andy AndreoffAnaheimC/LW11336-22410261829102710.34%521719.731014250113280050.00%22000000.5513002100
23Rob O'GaraAnaheimD7336400471131127.27%1315622.303141026000017000.00%000000.7700000000
24Jonathan-Ismael DiabyAdmirals (Ana)D61235-155807611134915.38%38104217.09000150011083100.00%000000.1000000000
25Patrick RussellAdmirals (Ana)LW/RW332350601791752211.76%02357.1311225000031058.33%2400000.4300000001
26Justin SeftonAdmirals (Ana)D3103392003347100.00%2352416.90000326000045000.00%000000.1100000000
27Drew OlsonAdmirals (Ana)D6000-120401000.00%39716.230000300018000.00%000000.0000000000
28Stephen GiontaAnaheimC/LW/RW1000-100031010.00%22020.0800014000000066.67%2700000.0000000000
Stats d'équipe Total ou en Moyenne143328448777114184690159216152459725173011.55%7542345416.37621051674682641347472266351155.54%628000060.669314410364838
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
1Christopher GibsonAdmirals (Ana)73323190.8823.4741174223820140300.52934730202
2Spencer MartinAdmirals (Ana)162300.9092.7747600222430010.0000477000
Stats d'équipe Total ou en Moyenne89343490.8853.4045944226022570310.529347777202


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Ales StezkaAdmirals (Ana)G201997-01-06Yes192 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Alexander PechurskiAdmirals (Ana)G271990-06-04No187 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Brendan WarrenAdmirals (Ana)LW201997-05-07Yes191 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Cameron AbneyAdmirals (Ana)RW261991-05-23Yes205 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Christophe LalancetteAdmirals (Ana)RW231994-05-06Yes162 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Christopher GibsonAdmirals (Ana)G241992-12-27Yes188 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm675,000$67,500$0$NoLien
Connor ChathamAdmirals (Ana)RW211995-10-30Yes222 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Dennis EverbergAdmirals (Ana)LW/RW251991-12-31No205 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm600,000$60,000$0$NoLien
Dominic TurgeonAdmirals (Ana)C211996-02-25Yes200 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm667,000$66,700$0$NoLien
Drew OlsonAdmirals (Ana)D271990-04-04No215 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Drew ShoreAdmirals (Ana)C261991-01-29No205 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm800,000$80,000$0$NoLien
Emil MolinAdmirals (Ana)C241993-02-03Yes170 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm625,000$62,500$0$NoLien
Garrett PilonAdmirals (Ana)C191998-04-13Yes188 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm742,500$74,250$0$NoLien
James GreenwayAdmirals (Ana)D191998-04-27Yes205 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Jayson MegnaAdmirals (Ana)LW/RW271990-02-01No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm600,000$60,000$0$NoLien
Jonathan-Ismael DiabyAdmirals (Ana)D221994-11-16Yes223 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm637,000$63,700$0$NoLien
Josh BirkholzAdmirals (Ana)RW261991-03-28Yes190 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Justin SeftonAdmirals (Ana)D241993-04-14Yes209 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Linus HultstromAdmirals (Ana)D241992-12-09Yes181 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Luke GazdicAdmirals (Ana)LW281989-07-25No225 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm550,000$55,000$0$NoLien
Malte StromwallAdmirals (Ana)LW/RW231994-08-24Yes180 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm742,500$74,250$0$NoLien
Matt LoritoAdmirals (Ana)LW/RW271990-07-03No170 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm575,000$57,500$0$NoLien
Michael BournivalAdmirals (Ana)LW/RW251992-05-31No198 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm600,000$60,000$0$NoLien
Michael KeranenAdmirals (Ana)C/LW/RW271990-01-04No170 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm675,000$67,500$0$NoLien
Nic DowdAdmirals (Ana)C/RW271990-05-27No197 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm600,000$60,000$0$NoLien
Patrick RussellAdmirals (Ana)LW/RW241993-01-04Yes205 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Philip McRaeAdmirals (Ana)C271990-03-15No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$90,000$0$NoLien
Raphael BussieresAdmirals (Ana)LW231993-11-05Yes195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm818,000$81,800$0$NoLien
Remi ElieAdmirals (Ana)LW221995-04-16Yes210 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm767,000$767,000$0$NoLien
Rocco GrimaldiAdmirals (Ana)C/RW241993-02-08No180 Lbs5 ft6NoNoNo1Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Ryan CollinsAdmirals (Ana)D211996-05-06Yes202 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Ryan ReavesAdmirals (Ana)RW301987-01-20No225 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm750,000$75,000$0$NoLien
Shawn LalondeAdmirals (Ana)D271990-03-10No204 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Spencer MartinAdmirals (Ana)G221995-06-08Yes210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm693,000$69,300$0$NoLien
Trent FredericAdmirals (Ana)C191998-02-11Yes215 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm895,000$89,500$0$NoLien
Tye McGinnAdmirals (Ana)LW/RW271990-07-29No205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Zack PhillipsAdmirals (Ana)C241992-10-28Yes175 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm833,000$83,300$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3724.11197 Lbs6 ft12.32709,324$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Remi ElieNic DowdRyan Reaves40122
2Jayson MegnaDrew ShoreMichael Bournival30122
3Dennis EverbergTrent FredericTye McGinn20122
4Luke GazdicRocco GrimaldiRemi Elie10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Linus HultstromRyan Collins40122
2James GreenwayJonathan-Ismael Diaby30122
3Justin SeftonRocco Grimaldi20122
4Linus HultstromRyan Collins10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Remi ElieNic DowdRyan Reaves60122
2Jayson MegnaDrew ShoreMichael Bournival40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Linus HultstromRyan Collins60122
2James GreenwayJonathan-Ismael Diaby40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Remi ElieRyan Reaves60122
2Nic DowdDrew Shore40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Linus HultstromRyan Collins60122
2James GreenwayJonathan-Ismael Diaby40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Remi Elie60122Linus HultstromRyan Collins60122
2Ryan Reaves40122James GreenwayJonathan-Ismael Diaby40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Remi ElieRyan Reaves60122
2Nic DowdDrew Shore40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Linus HultstromRyan Collins60122
2James GreenwayJonathan-Ismael Diaby40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Remi ElieNic DowdRyan ReavesLinus HultstromRyan Collins
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Remi ElieNic DowdRyan ReavesLinus HultstromRyan Collins
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dominic Turgeon, Dennis Everberg, Trent FredericDominic Turgeon, Dennis EverbergTrent Frederic
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Justin Sefton, James Greenway, Jonathan-Ismael DiabyJustin SeftonJames Greenway, Jonathan-Ismael Diaby
Tirs de Pénalité
Remi Elie, Ryan Reaves, Nic Dowd, Drew Shore, Jayson Megna
Gardien
#1 : Christopher Gibson, #2 : Spencer Martin


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
1Baby Hawks30100011912-32010000159-41000001043130.500915240011686791276850820784569126414913430.77%13376.92%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
2Bears2020000048-41010000034-11010000014-300.0004812001168679123885082078456883439489111.11%17288.24%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
3Bruins2020000025-31010000013-21010000012-100.00023500116867912498508207845648171644600.00%8187.50%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
4Cabaret Lady Mary Ann21100000990110000006511010000034-120.50091625001168679128385082078456682214398337.50%7271.43%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
5Caroline210000019631000000134-11100000062430.75091726001168679128085082078456792316467228.57%8362.50%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
6Chiefs31200000911-2211000009901010000002-220.3339162500116867912788508207845690343563600.00%14378.57%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
7Chill330000001459220000009361100000052361.0001422360111686791289850820784565513255514428.57%10190.00%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
8Comets4110110015150210001009902010100066050.62515264100116867912138850820784561224638659222.22%19857.89%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
9Cougars200010018801000000134-11000100054130.750811190011686791283850820784567017174412216.67%6350.00%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
10Crunch2000000268-21000000134-11000000134-120.5006713001168679125885082078456571018385120.00%9188.89%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
11Heat421000011013-3210000016602110000047-350.62510182800116867912114850820784561023446781516.67%23673.91%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
12Jayhawks50400010921-1220200000212-103020001079-220.200915240011686791211385082078456156435510113215.38%25868.00%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
13Las Vegas413000001415-1211000009722020000058-320.250142236001168679121038508207845611934376821628.57%15473.33%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
14Manchots220000001073110000004221100000065141.000101626001168679126485082078456432030368337.50%10280.00%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
15Marlies20101000810-21010000036-31000100054120.50081523001168679124485082078456792629509222.22%12375.00%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
16Minnesota31200000611-51010000014-32110000057-220.333611170011686791268850820784569022275913215.38%11372.73%11397253055.22%1345246654.54%768136356.35%1964134119286271080537
17Monarchs440000002181322000000114722000000104681.000213859011168679121848508207845610821247323313.04%11281.82%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
18Monsters220000001064110000006331100000043141.000101727001168679125785082078456672326536350.00%110100.00%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
19Monsters312000001215-320200000812-41100000043120.3331223351011686791294850820784567620204911327.27%9277.78%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
20Oceanics30300000714-71010000024-220200000510-500.000713200011686791266850820784561153633501119.09%14657.14%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
21Oil Kings431000001679211000008442200000083560.75016284400116867912118850820784568726287814535.71%13376.92%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
22Phantoms20200000911-21010000045-11010000056-100.00091625001168679126385082078456552622346233.33%11463.64%21397253055.22%1345246654.54%768136356.35%1964134119286271080537
23Rocket22000000945110000004311100000051441.00091726001168679125985082078456361814401417.14%7185.71%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
24Senators220000001165110000007341100000043141.0001119300011686791281850820784565816192811218.18%7185.71%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
25Sharks413000001419-52110000099020200000510-520.25014233700116867912123850820784561524753862114.76%19478.95%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
26Sound Tigers210000019721000000156-11100000041330.75091524001168679124885082078456501618438225.00%9366.67%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
27Spiders21100000770110000006331010000014-320.50071219001168679127185082078456632733575120.00%13561.54%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
28Stars3120000068-2110000004312020000025-320.333610160011686791284850820784567420466013215.38%13376.92%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
29Thunder2010010035-21000010023-11010000012-110.25035800116867912658508207845672252051800.00%10370.00%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
Total82323603227286293-741171600206157162-541152003021129131-2830.50628649177712116867912247785082078456245876986216143246219.14%3629274.59%31397253055.22%1345246654.54%768136356.35%1964134119286271080537
31Wolf Pack211000001012-21010000059-41100000053220.500101727001168679128685082078456882723295120.00%8275.00%01397253055.22%1345246654.54%768136356.35%1964134119286271080537
_Since Last GM Reset82323603227286293-741171600206157162-541152003021129131-2830.50628649177712116867912247785082078456245876986216143246219.14%3629274.59%31397253055.22%1345246654.54%768136356.35%1964134119286271080537
_Vs Conference3617160110113913091897001017767101889010006263-1380.5281392393780211686791211288508207845611413744107371502617.33%1703977.06%21397253055.22%1345246654.54%768136356.35%1964134119286271080537

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8283W128649177724772458769862161412
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8232363227286293
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117160206157162
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4115203021129131
Derniers 10 Matchs
WLOTWOTL SOWSOL
720001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3246219.14%3629274.59%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
85082078456116867912
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
1397253055.22%1345246654.54%768136356.35%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1964134119286271080537


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 - 2018-10-034Admirals3Sharks4LSommaire du Match
4 - 2018-10-0626Admirals3Jayhawks5LSommaire du Match
6 - 2018-10-0835Cougars4Admirals3LXXSommaire du Match
8 - 2018-10-1044Jayhawks7Admirals1LSommaire du Match
11 - 2018-10-1367Admirals1Stars3LSommaire du Match
12 - 2018-10-1472Admirals0Chiefs2LSommaire du Match
15 - 2018-10-1789Sound Tigers6Admirals5LXXSommaire du Match
18 - 2018-10-20112Admirals2Las Vegas3LSommaire du Match
19 - 2018-10-21117Crunch4Admirals3LXXSommaire du Match
21 - 2018-10-23127Admirals4Baby Hawks3WXXSommaire du Match
23 - 2018-10-25140Admirals1Stars2LSommaire du Match
26 - 2018-10-28164Sharks3Admirals4WSommaire du Match
28 - 2018-10-30176Phantoms5Admirals4LSommaire du Match
30 - 2018-11-01189Wolf Pack9Admirals5LSommaire du Match
33 - 2018-11-04209Monsters3Admirals6WSommaire du Match
35 - 2018-11-06222Admirals5Monarchs4WSommaire du Match
36 - 2018-11-07226Heat2Admirals3WSommaire du Match
38 - 2018-11-09241Minnesota4Admirals1LSommaire du Match
41 - 2018-11-12263Chill0Admirals4WSommaire du Match
43 - 2018-11-14276Admirals3Las Vegas5LSommaire du Match
45 - 2018-11-16291Marlies6Admirals3LSommaire du Match
47 - 2018-11-18306Monsters6Admirals4LSommaire du Match
50 - 2018-11-21329Comets3Admirals4WSommaire du Match
52 - 2018-11-23333Oil Kings3Admirals2LSommaire du Match
54 - 2018-11-25360Admirals5Chill2WSommaire du Match
56 - 2018-11-27370Admirals1Thunder2LSommaire du Match
57 - 2018-11-28378Admirals3Cabaret Lady Mary Ann4LSommaire du Match
59 - 2018-11-30392Admirals6Caroline2WSommaire du Match
61 - 2018-12-02407Admirals1Bears4LSommaire du Match
64 - 2018-12-05427Baby Hawks3Admirals0LSommaire du Match
66 - 2018-12-07443Caroline4Admirals3LXXSommaire du Match
68 - 2018-12-09458Spiders3Admirals6WSommaire du Match
71 - 2018-12-12478Stars3Admirals4WSommaire du Match
74 - 2018-12-15501Admirals4Monsters3WSommaire du Match
76 - 2018-12-17512Admirals6Manchots5WSommaire du Match
77 - 2018-12-18519Admirals5Wolf Pack3WSommaire du Match
79 - 2018-12-20530Admirals1Bruins2LSommaire du Match
81 - 2018-12-22552Admirals3Crunch4LXXSommaire du Match
86 - 2018-12-27579Admirals2Sharks6LSommaire du Match
88 - 2018-12-29596Jayhawks5Admirals1LSommaire du Match
90 - 2018-12-31611Thunder3Admirals2LXSommaire du Match
94 - 2019-01-04635Las Vegas5Admirals3LSommaire du Match
96 - 2019-01-06650Oil Kings1Admirals6WSommaire du Match
99 - 2019-01-09670Senators3Admirals7WSommaire du Match
101 - 2019-01-11686Manchots2Admirals4WSommaire du Match
103 - 2019-01-13700Admirals1Oceanics3LSommaire du Match
105 - 2019-01-15715Admirals5Cougars4WXSommaire du Match
107 - 2019-01-17731Admirals2Minnesota1WSommaire du Match
109 - 2019-01-19740Admirals1Spiders4LSommaire du Match
110 - 2019-01-20752Admirals4Sound Tigers1WSommaire du Match
113 - 2019-01-23769Chiefs8Admirals3LSommaire du Match
123 - 2019-02-02791Admirals4Oceanics7LSommaire du Match
125 - 2019-02-04805Admirals5Marlies4WXSommaire du Match
126 - 2019-02-05815Admirals5Rocket1WSommaire du Match
128 - 2019-02-07829Admirals4Senators3WSommaire du Match
130 - 2019-02-09842Admirals5Phantoms6LSommaire du Match
134 - 2019-02-13876Comets6Admirals5LXSommaire du Match
136 - 2019-02-15891Bruins3Admirals1LSommaire du Match
138 - 2019-02-17909Bears4Admirals3LSommaire du Match
140 - 2019-02-19922Admirals3Minnesota6LSommaire du Match
143 - 2019-02-22943Admirals1Heat5LSommaire du Match
144 - 2019-02-23955Admirals4Oil Kings2WSommaire du Match
146 - 2019-02-25967Admirals3Comets4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
148 - 2019-02-27983Baby Hawks6Admirals5LXXSommaire du Match
150 - 2019-03-01997Las Vegas2Admirals6WSommaire du Match
152 - 2019-03-031012Monsters6Admirals4LSommaire du Match
154 - 2019-03-051027Admirals3Jayhawks2WXXSommaire du Match
155 - 2019-03-061031Chiefs1Admirals6WSommaire du Match
157 - 2019-03-081047Rocket3Admirals4WSommaire du Match
159 - 2019-03-101064Monarchs1Admirals5WSommaire du Match
161 - 2019-03-121079Chill3Admirals5WSommaire du Match
163 - 2019-03-141090Admirals1Jayhawks2LSommaire du Match
164 - 2019-03-151096Admirals4Monsters3WSommaire du Match
166 - 2019-03-171116Cabaret Lady Mary Ann5Admirals6WSommaire du Match
169 - 2019-03-201135Oceanics4Admirals2LSommaire du Match
171 - 2019-03-221149Sharks6Admirals5LSommaire du Match
172 - 2019-03-231163Admirals5Monarchs0WSommaire du Match
175 - 2019-03-261183Admirals3Comets2WXSommaire du Match
178 - 2019-03-291201Admirals3Heat2WSommaire du Match
179 - 2019-03-301213Admirals4Oil Kings1WSommaire du Match
183 - 2019-04-031241Heat4Admirals3LXXSommaire du Match
185 - 2019-04-051256Monarchs3Admirals6WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3520
Assistance61,92130,950
Assistance PCT75.51%75.49%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2265 - 75.50% 67,957$2,786,235$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,831,313$ 3,314,800$ 3,314,800$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
17,726$ 2,831,313$ 37 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 17,726$ 0$




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
201882323603227286293-741171600206157162-541152003021129131-28328649177712116867912247785082078456245876986216143246219.14%3629274.59%31397253055.22%1345246654.54%768136356.35%1964134119286271080537
Total Saison Régulière82323603227286293-741171600206157162-541152003021129131-28328649177712116867912247785082078456245876986216143246219.14%3629274.59%31397253055.22%1345246654.54%768136356.35%1964134119286271080537