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Wild

GP: 81 | W: 57 | L: 18 | OTL: 6 | P: 120
GF: 388 | GA: 200 | PP%: 23.89% | PK%: 79.35%
DG: Philippe Lanois | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #1267 vs Admirals
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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
1Daniel SprongXX100.00573892657172776452636658726365063630
2Alexander VolkovXX100.00613983627694956163595860596362050620
3Austin CzarnikXXX100.00513693616369675963655857607370050610
4Dominic ToninatoX100.00583788598076715868596157626965050610
5Logan BrownX100.00653692589680695762595660546163050610
6Zack MacEwenXX100.00614384598477715862595759556563050610
7Sam LaffertyXX100.00614275607493915970625457536764050610
8Lukas VejdemoXXX100.00643691578093905659555457556563050600
9Liam O'BrienXX100.00684371598094955658545356556965050600
10Brandon GignacXX100.00543692576679715663585457526362050590
11Cameron HughesX100.00533787595490845861575652576563050590
12Samuel KurkerX100.00663885588177715652535356546965050590
13Steven SantiniX100.00823983648183526330665876496764015650
14Lawrence Pilut (R)X100.00563983666882626430735761486764045630
15Nelson NogierX100.00573691577981735630545356456563050590
16Niko MikkolaX100.00653787548393915330525156486563050590
17Lucas JohansenX100.00603788567786805530565154456362050580
Rayé
1JC LiponX100.00564467577191875660565456557166050590
2Nick MoutreyXX100.00743789558889835354525157536764050590
MOYENNE D'ÉQUIPE100.0062388559768478585259565854666404960
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
1Merrick Madsen100.0077686685767577767577766771050660
2Matiss Kivlenieks100.0069706876686769686769686569050610
Rayé
MOYENNE D'ÉQUIPE100.007369678172717372717372667005064
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
1Logan BrownWild (MIN)C814959108671201311923388824514.50%26152918.896511321270000644161.76%190100011.41030001078
2Lawrence PilutWild (MIN)D7312879958360144109148481208.11%133178424.4551419551450000147200.00%000001.1100000365
3Jason DickinsonWildC/LW613944837518081882887021913.54%11114218.746410401201127971166.42%13700131.4535000376
4Dominic ToninatoWild (MIN)C813349825960471863521042559.38%12140317.3302210570001214262.38%173600011.1701000264
5Liam O'BrienWild (MIN)C/LW81324779825402091002677714211.99%21134316.59000020000145058.82%18700131.1800000624
6Austin CzarnikWild (MIN)C/LW/RW81334578498030126355882369.30%18145217.9436927121000003154.12%19400011.0701000433
7Zack MacEwenWild (MIN)C/RW813642783222101071243499525410.32%22147718.25961550134000033360.55%25600011.0600200351
8Sam LaffertyWild (MIN)C/LW81354378523551061813036518311.55%15137917.04369181120004736259.97%155400011.1302100322
9Lukas VejdemoWild (MIN)C/LW/RW813243757722060902838421111.31%30126415.61000020004575055.56%12600011.1901000331
10Alexander VolkovWild (MIN)LW/RW81294574401801261443791182877.65%29166720.5959143316301182094059.90%19200010.8937000533
11Nelson NogierWild (MIN)D81103848612201015512937857.75%105173121.384812381420003146020.00%000000.5500000022
12Lucas JohansenWild (MIN)D811036465780844393265310.75%82136316.84101740000153000.00%000000.6700000100
13Steven SantiniWild (MIN)D34123345213401155289305713.48%6781123.874482053011070610.00%000001.1100000312
14Niko MikkolaWild (MIN)D8153944564401885011746904.27%112171721.21088331390110149010.00%000000.5100000014
15Nick MoutreyWild (MIN)C/LW40517224222091265715478.77%2265616.4100001000000055.81%21500000.6700000100
16Daniel SprongWild (MIN)LW/RW2291019220164110431778.65%546921.3312314500000443040.56%14300000.8113000013
17Samuel KurkerWild (MIN)RW54712192314062258430598.33%74338.0300000000001047.62%2100000.8800000201
18Brandon GignacWild (MIN)C/LW373912136026194417516.82%1545212.2300000000010057.14%4200000.5300000000
19Cameron HughesWild (MIN)C1817811001415226144.55%724213.48000214000010052.31%6500000.6600000000
20JC LiponWild (MIN)RW21303000181327102611.11%61828.6900000000002054.55%1100000.3300000000
Stats d'équipe Total ou en Moyenne12513957051100877383151756167938281085271110.32%7452251017.9947741213791431145281158491460.28%6780002130.98723300494949
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
1Merrick MadsenWild (MIN)81571760.9232.39477141119024800200.71421810585
2Matiss KivlenieksWild (MIN)40100.9202.73132006750000.0000081000
Stats d'équipe Total ou en Moyenne85571860.9232.40490341119625550200.714218181585


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
Alexander VolkovWild (MIN)LW/RW211997-08-02No192 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Austin CzarnikWild (MIN)C/LW/RW251992-12-12No170 Lbs5 ft9NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$Lien / Lien NHL
Brandon GignacWild (MIN)C/LW201997-11-07No170 Lbs5 ft11NoNoNo3Pro & Farm921,666$0$0$No921,666$921,666$Lien / Lien NHL
Cameron HughesWild (MIN)C221996-10-06No160 Lbs5 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Daniel SprongWild (MIN)LW/RW211997-03-17No180 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Dominic ToninatoWild (MIN)C241994-03-09No200 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
JC LiponWild (MIN)RW251993-07-10No183 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Lawrence PilutWild (MIN)D221995-12-30Yes180 Lbs5 ft11NoNoNo2Pro & Farm1,350,000$0$0$No1,350,000$Lien / Lien NHL
Liam O'BrienWild (MIN)C/LW241994-07-29No215 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Logan BrownWild (MIN)C201998-03-05No220 Lbs6 ft6NoNoNo3Pro & Farm1,573,333$0$0$No1,573,333$1,573,333$Lien / Lien NHL
Lucas JohansenWild (MIN)D201997-11-16No182 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Lukas VejdemoWild (MIN)C/LW/RW221996-01-25No196 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Matiss KivlenieksWild (MIN)G221996-08-26No178 Lbs6 ft2NoNoNo2Pro & Farm1,066,667$0$0$No1,066,667$Lien / Lien NHL
Merrick MadsenWild (MIN)G231995-08-22No177 Lbs6 ft5NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Nelson NogierWild (MIN)D221996-05-27No191 Lbs6 ft2NoNoNo1Pro & Farm771,667$0$0$NoLien / Lien NHL
Nick MoutreyWild (MIN)C/LW231995-06-24No222 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Niko MikkolaWild (MIN)D221996-04-27No185 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Sam LaffertyWild (MIN)C/LW231995-03-06No184 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Samuel KurkerWild (MIN)RW241994-04-08No202 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Steven SantiniWild (MIN)D231995-03-07No205 Lbs6 ft2NoNoNo3Pro & Farm1,416,666$0$0$No1,416,666$1,416,666$Lien / Lien NHL
Zack MacEwenWild (MIN)C/RW221996-07-08No205 Lbs6 ft3NoNoNo2Pro & Farm995,833$0$0$No995,833$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2122.38190 Lbs6 ft11.90956,944$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel SprongDominic ToninatoAlexander Volkov30122
2Austin CzarnikLogan BrownZack MacEwen30122
3Lukas VejdemoSam LaffertySamuel Kurker25122
4Brandon GignacLiam O'BrienDaniel Sprong15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven SantiniLawrence Pilut30122
2Nelson NogierNiko Mikkola30122
3Lucas JohansenLiam O'Brien25122
4Steven SantiniLawrence Pilut15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel SprongDominic ToninatoAlexander Volkov60122
2Austin CzarnikLogan BrownZack MacEwen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven SantiniLawrence Pilut60122
2Nelson NogierNiko Mikkola40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Daniel SprongAlexander Volkov60122
2Dominic ToninatoLogan Brown40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven SantiniLawrence Pilut60122
2Nelson NogierNiko Mikkola40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Daniel Sprong60122Steven SantiniLawrence Pilut60122
2Alexander Volkov40122Nelson NogierNiko Mikkola40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Daniel SprongAlexander Volkov60122
2Dominic ToninatoLogan Brown40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Steven SantiniLawrence Pilut60122
2Nelson NogierNiko Mikkola40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel SprongDominic ToninatoAlexander VolkovSteven SantiniLawrence Pilut
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel SprongDominic ToninatoAlexander VolkovSteven SantiniLawrence Pilut
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cameron Hughes, Sam Lafferty, Lukas VejdemoCameron Hughes, Sam LaffertyLukas Vejdemo
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lucas Johansen, Nelson Nogier, Niko MikkolaLucas JohansenNelson Nogier, Niko Mikkola
Tirs de Pénalité
Daniel Sprong, Alexander Volkov, Dominic Toninato, Logan Brown, Austin Czarnik
Gardien
#1 : Merrick Madsen, #2 : Matiss Kivlenieks


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
1Admirals43000001171072200000010552100000175270.875173148001661308510222125712751284591303919916350.00%7357.14%01900314260.47%1527267457.11%790132859.49%231917471634499954509
2Americans2110000067-1110000004311010000024-220.5006121800166130851073125712751284594116839500.00%3166.67%01900314260.47%1527267457.11%790132859.49%231917471634499954509
3Barracuda32100000770110000002112110000056-140.66771219001661308510102125712751284599943677200.00%20100.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
4Bears2020000025-31010000013-21010000012-100.0002460016613085107612571275128459913018534125.00%9366.67%01900314260.47%1527267457.11%790132859.49%231917471634499954509
5Bruins20200000312-91010000038-51010000004-400.000369001661308510521257127512845971171648500.00%8625.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
6Checkers21000010752100000104311100000032141.000712190016613085107712571275128459621112513266.67%6266.67%01900314260.47%1527267457.11%790132859.49%231917471634499954509
7Comets330000002842422000000203171100000081761.0002851790116613085102631257127512845966141063300.00%4175.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
8Condors330000002412322000000171161100000070761.0002447710216613085102421257127512845965196614250.00%20100.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
9Crunch2020000038-51010000024-21010000014-300.000358001661308510501257127512845968161054300.00%5340.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
10Devils220000002141711000000112911000000102841.0002139600016613085101621257127512845952198362150.00%40100.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
11Eagles51101011151323100101012842010000135-270.70015243900166130851016412571275128459169493610718316.67%16381.25%01900314260.47%1527267457.11%790132859.49%231917471634499954509
12Griffins210001009541000010012-11100000083530.750918270016613085101301257127512845948152664125.00%10100.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
13Gulls330000001257110000005232200000073461.00012233500166130851097125712751284591082712618225.00%60100.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
14Heat330000002512422000000160161100000091861.0002548730216613085102231257127512845984171287100.00%40100.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
15IceHogs422000001918121100000111012110000088040.50019335200166130851013912571275128459166493310613538.46%13376.92%01900314260.47%1527267457.11%790132859.49%231917471634499954509
16Marlies21100000660110000003211010000034-120.50061016001661308510721257127512845971271844600.00%90100.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
17Monsters2110000057-21010000014-31100000043120.50051015001661308510731257127512845974204411000.00%2150.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
18Moose4300100028622220000001611521001000125781.000285179011661308510239125712751284591253922875360.00%110100.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
19Penguins220000001367110000005231100000084441.0001324370016613085101051257127512845968181043100.00%4175.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
20Phantoms210000101055110000006241000001043141.0001018280016613085101021257127512845979188445120.00%4175.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
21Rampage43001000191182100100095422000000106481.0001934530016613085101811257127512845913643149514535.71%7271.43%01900314260.47%1527267457.11%790132859.49%231917471634499954509
22Reign3300000011471100000010122000000104661.00011203102166130851087125712751284598626106813215.38%5180.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
23Roadrunners30300000310-71010000013-22020000027-500.00036900166130851087125712751284591143726686116.67%13284.62%01900314260.47%1527267457.11%790132859.49%231917471634499954509
24Rocket2010000146-21010000045-11000000101-110.250471100166130851072125712751284595728938800.00%20100.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
25Senators2200000016511110000007341100000092741.0001631470016613085101331257127512845941141244100.00%6183.33%01900314260.47%1527267457.11%790132859.49%231917471634499954509
26Sound Tigers2110000078-1110000004221010000036-320.500713200016613085107612571275128459661810556233.33%5180.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
27Stars44000000314272200000012210220000001921781.0003157880116613085102881257127512845995308757457.14%40100.00%11900314260.47%1527267457.11%790132859.49%231917471634499954509
28Thunderbirds220000001468110000008531100000061541.0001427410016613085108612571275128459671810484125.00%5180.00%11900314260.47%1527267457.11%790132859.49%231917471634499954509
Total8150180423438820018841287021212149711740221102113174103711200.74138871211000101661308510385212571275128459255576940918441804323.89%1843879.35%21900314260.47%1527267457.11%790132859.49%231917471634499954509
30Wolf Pack21001000927110000006061000100032141.000914230116613085107112571275128459662316357342.86%7185.71%01900314260.47%1527267457.11%790132859.49%231917471634499954509
31Wolves3100010114952100000112661000010023-140.66714253900166130851010812571275128459902924596116.67%10190.00%01900314260.47%1527267457.11%790132859.49%231917471634499954509
_Since Last GM Reset8150180423438820018841287021212149711740221102113174103711200.74138871211000101661308510385212571275128459255576940918441804323.89%1843879.35%21900314260.47%1527267457.11%790132859.49%231917471634499954509
_Vs Conference50338032132391111282517302111126507625165011021136152790.790239439678081661308510238212571275128459158948223411491173227.35%1031684.47%11900314260.47%1527267457.11%790132859.49%231917471634499954509
_Vs Division24143022021244183127201101741658127101101502525360.75012423235607166130851012091257127512845971221210654443818.60%46589.13%01900314260.47%1527267457.11%790132859.49%231917471634499954509

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
81120L23887121100385225557694091844010
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8150184234388200
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41287212121497
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4022112113174103
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1804323.89%1843879.35%2
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
125712751284591661308510
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
1900314260.47%1527267457.11%790132859.49%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
231917471634499954509


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2019-10-039Wild5Admirals2WSommaire du Match
4 - 2019-10-0527Wild0Eagles1LSommaire du Match
9 - 2019-10-1053Wild4Moose3WXSommaire du Match
11 - 2019-10-1271Penguins2Wild5WSommaire du Match
13 - 2019-10-1479Wild9Senators2WSommaire du Match
14 - 2019-10-1585Wild3Marlies4LSommaire du Match
16 - 2019-10-1799Wild0Rocket1LXXSommaire du Match
19 - 2019-10-20125Rocket5Wild4LSommaire du Match
21 - 2019-10-22139Condors1Wild11WSommaire du Match
23 - 2019-10-24150Wild2Admirals3LXXSommaire du Match
25 - 2019-10-26167Reign0Wild1WSommaire du Match
28 - 2019-10-29186Wild8Stars0WSommaire du Match
29 - 2019-10-30190Wild5Rampage2WSommaire du Match
32 - 2019-11-02213Rampage3Wild6WSommaire du Match
35 - 2019-11-05233Wild3Gulls2WSommaire du Match
37 - 2019-11-07247Wild4Barracuda3WSommaire du Match
39 - 2019-11-09259Wild0Roadrunners3LSommaire du Match
42 - 2019-11-12279Wild4Reign0WSommaire du Match
44 - 2019-11-14289Roadrunners3Wild1LSommaire du Match
46 - 2019-11-16299Checkers3Wild4WXXSommaire du Match
49 - 2019-11-19318Wild2Americans4LSommaire du Match
51 - 2019-11-21340Eagles5Wild6WXXSommaire du Match
53 - 2019-11-23353Wild0Bruins4LSommaire du Match
55 - 2019-11-25366Wild3Wolf Pack2WXSommaire du Match
56 - 2019-11-26375Wild10Devils2WSommaire du Match
59 - 2019-11-29395Senators3Wild7WSommaire du Match
61 - 2019-12-01416Stars1Wild8WSommaire du Match
63 - 2019-12-03426Wild6Thunderbirds1WSommaire du Match
65 - 2019-12-05440Wild1Crunch4LSommaire du Match
67 - 2019-12-07459Wild3Checkers2WSommaire du Match
70 - 2019-12-10476Gulls2Wild5WSommaire du Match
72 - 2019-12-12493Condors0Wild6WSommaire du Match
74 - 2019-12-14507Phantoms2Wild6WSommaire du Match
75 - 2019-12-15516Wild6IceHogs1WSommaire du Match
77 - 2019-12-17533Wild2Wolves3LXSommaire du Match
79 - 2019-12-19546Wild2Roadrunners4LSommaire du Match
81 - 2019-12-21554Moose1Wild8WSommaire du Match
83 - 2019-12-23570Heat0Wild6WSommaire du Match
87 - 2019-12-27586Wild3Eagles4LXXSommaire du Match
89 - 2019-12-29605Sound Tigers2Wild4WSommaire du Match
91 - 2019-12-31616Marlies2Wild3WSommaire du Match
95 - 2020-01-04643Moose0Wild8WSommaire du Match
96 - 2020-01-05656Heat0Wild10WSommaire du Match
100 - 2020-01-09685Wild9Heat1WSommaire du Match
103 - 2020-01-12704Comets3Wild9WSommaire du Match
105 - 2020-01-14718Wild8Penguins4WSommaire du Match
107 - 2020-01-16736Crunch4Wild2LSommaire du Match
109 - 2020-01-18753Stars1Wild4WSommaire du Match
111 - 2020-01-20760Thunderbirds5Wild8WSommaire du Match
113 - 2020-01-22767Griffins2Wild1LXSommaire du Match
123 - 2020-02-01802Bruins8Wild3LSommaire du Match
126 - 2020-02-04821IceHogs4Wild7WSommaire du Match
128 - 2020-02-06835Comets0Wild11WSommaire du Match
129 - 2020-02-07842Wild11Stars2WSommaire du Match
131 - 2020-02-09859Eagles2Wild3WXSommaire du Match
133 - 2020-02-11871Wolves2Wild9WSommaire du Match
135 - 2020-02-13887Wolf Pack0Wild6WSommaire du Match
137 - 2020-02-15899Barracuda1Wild2WSommaire du Match
141 - 2020-02-19932Wild8Comets1WSommaire du Match
143 - 2020-02-21946Wild7Condors0WSommaire du Match
145 - 2020-02-23964Rampage2Wild3WXSommaire du Match
147 - 2020-02-25978Monsters4Wild1LSommaire du Match
149 - 2020-02-27989Wild8Griffins3WSommaire du Match
150 - 2020-02-28995Wild4Monsters3WSommaire du Match
152 - 2020-03-011014Bears3Wild1LSommaire du Match
154 - 2020-03-031023Admirals1Wild4WSommaire du Match
156 - 2020-03-051042Wild1Barracuda3LSommaire du Match
158 - 2020-03-071052Wild6Reign4WSommaire du Match
159 - 2020-03-081063Wild4Gulls1WSommaire du Match
163 - 2020-03-121089Wolves4Wild3LXXSommaire du Match
165 - 2020-03-141098Wild4Phantoms3WXXSommaire du Match
166 - 2020-03-151116Admirals4Wild6WSommaire du Match
168 - 2020-03-171127IceHogs6Wild4LSommaire du Match
170 - 2020-03-191143Wild2IceHogs7LSommaire du Match
171 - 2020-03-201148Wild8Moose2WSommaire du Match
174 - 2020-03-231172Eagles1Wild3WSommaire du Match
177 - 2020-03-261198Devils2Wild11WSommaire du Match
179 - 2020-03-281213Americans3Wild4WSommaire du Match
180 - 2020-03-291220Wild5Rampage4WSommaire du Match
182 - 2020-03-311229Wild3Sound Tigers6LSommaire du Match
184 - 2020-04-021248Wild1Bears2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
186 - 2020-04-041267Wild-Admirals-



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,948,218$ 2,009,584$ 1,978,751$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,948,218$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 3 10,746$ 32,238$




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
Saison Régulière
282244402336228294-6641151802024122129-74192600312106165-5948228394622038875609237881677376353260373897614753396619.47%3728876.34%51348263851.10%1156255645.23%616135345.53%1956133819616181058524
382254304073204241-3741161901032107109-2419240304197132-35502043445481271715115252681682184385265077577715813404713.82%3125283.33%21382271350.94%1349280348.13%608125748.37%1980135319416051058528
4823829010682582015741221201042150925841161700026108109-176258461719079284751428739209349888625447581405186456810919.19%5728884.62%21799313657.37%1645310852.93%687123955.45%2008134719306551051529
58233320524624423774115130502610910634118190022013513146624442566932103716113295795896699966281279355618892053215.61%2564980.86%11691283959.56%1528283153.97%712128055.63%2009144119665621004502
68243300212432421610841231501011180998141201501113144117278632458390709122105939344911751110115036268577458021342074220.29%2333684.55%41738313755.40%1433287149.91%690128853.57%2164156117665531025533
78237310434334625294411617021321581144441211402211188138507434660194714146969612384212121273130474292879942520042114219.91%1814674.59%11960333358.81%1589288655.06%800138057.97%2145157618215431009519
881501804234388200188412870212121497117402211021131741037112038871211000101661308510385212571275128459255576940918441804323.89%1843879.35%21900314260.47%1527267457.11%790132859.49%231917471634499954509
Total Saison Régulière573250227022112934199216413512871351010142171810407462942861151260891216952895575201992352055125377886325218221877715471527331459187775406512812791205038118.59%211039781.18%17118182093856.44%102271972951.84%4903912553.73%145851036713022403871623647
Séries
4159600000423847610000022139835000002025-51842761180017159147016915814124881402763351191915.97%1131685.84%128556450.53%27257747.14%11623549.36%34822636012219194
562400000917-83120000058-33120000049-549142301431115561533011252753817319315.79%180100.00%06119830.81%8726532.83%358242.68%12782189507937
Total Séries211110000005155-4107300000272161147000002434-10225190141012118102625230211171137402153145081382215.94%1311687.79%134676245.41%35984242.64%15131747.63%475309550172270131