Wolf Pack
GP: 82 | W: 53 | L: 23 | OTL: 6 | P: 112
GF: 217 | GA: 162 | PP%: 13.90% | PK%: 88.08%
DG: Sebastien Regnier | Morale : 50 | Moyenne d'Équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Aleksi SaarelaX100.007670916670768063796161665847486550002331,152,500$
2Alexander TrueX100.008445946778557763657055562556566350002231,050,000$
3Kaapo Kakko (R)X100.006141928272677874346568617552526850001933,575,000$
4Rudolfs BalcersX100.00784399656162817326615859254949635000232925,000$
5Jack Hughes (R)XX100.005940948262727584696860554851516550001933,775,000$
6Isac LundestromX100.00614199806866687276725564254646645000202925,000$
7Logan BrownX100.006744946285596972627556572546466350002221,573,333$
8Sam LaffertyXXX100.00845786677154806165626276254848675000253975,000$
9Vitaly AbramovXX100.00686183696176796550626461614444655000222880,000$
10Gabriel Vilardi (R)X100.005741878076634868877575542544446954002031,627,000$
11Joachim Blichfeld (R)X100.007369836669727564505965646244446550002131,290,000$
12Rem Pitlick (R)XX100.00747082657066686075536263594444625000233925,000$
13Vladislav KamenevXXX100.00734392807252566462645661255151625000233800,000$
14Kody Clark (R)X100.00716683606659625050494759454444545000203894,167$
15Brendan LemieuxXX100.009396508379637867386559717559596750002411,039,167$
16Matt RoyX100.008445956274758762255448752556566250002531,200,000$
17Adam Boqvist (R)X100.007142948064697274255650602547476250001931,744,167$
18Ryan GravesX100.00815581818376815925595489255656685000252650,000$
19Christian DjoosX100.00594099806277677925535070255961635000251650,000$
Rayé
1Hayden VerbeekXX100.00726589546550524455384458424444505000223776,666$
2Aleksi Heponiemi (R)XX100.006656896156636750635046574444445350002131,775,000$
3Logan StanleyX100.007887566287687447253741623944445250002221,075,833$
MOYENNE D'ÉQUIPE100.0072558771716572645159566440494962500
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
1Connor Ingram100.0069648076707172777373304444704600
2Igor Shesterkin (R)100.0069636071776288697769754545715000
Rayé
MOYENNE D'ÉQUIPE100.006964707474678073757153454571480
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Ott70656067545089CAN393975,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jack HughesWolf Pack (NYR)C/LW82242852-4140411231633912114.72%5143217.47716234639800001016351.95%7700000.7314000724
2Kaapo KakkoWolf Pack (NYR)RW82212647100191011624611112.96%8139517.027111840378000016339.53%8600000.67410000553
3Ryan GravesWolf Pack (NYR)D8211364712108019298110346810.00%69172321.0281422823380000252020.00%000100.5500000361
4Sam LaffertyWolf Pack (NYR)C/LW/RW822225472862092101121319818.18%25111913.6500001402211672347.44%7800000.8400000647
5Brendan LemieuxWolf Pack (NYR)LW/RW82192847515352441231503911712.67%18158619.349101947354112112754239.10%13300000.5937001273
6Isac LundestromWolf Pack (NYR)C76732391840181439627867.29%7109014.3404485210111532158.40%94000000.7201000222
7Adam BoqvistWolf Pack (NYR)D8273138-13235505068265610.29%36150318.3471421514130000120010.00%000000.5100001222
8Christian DjoosWolf Pack (NYR)D827303716220187211639636.03%45182822.3051318944030111293110.00%000000.4000000112
9Gabriel VilardiWolf Pack (NYR)C741125365175315212133989.09%3133218.00411152931300021212162.20%153700000.5425010213
10Logan BrownWolf Pack (NYR)C82102535050107810572155413.89%5141817.30114151338300021112252.86%138100000.4900011242
11Vitaly AbramovWolf Pack (NYR)LW/RW82142135680226996349614.58%2100112.221091937363000002150.00%4600000.7000000031
12Rem PitlickWolf Pack (NYR)C/LW681815332236104752100236418.00%981011.92000410000037069.44%3600100.8100002455
13Vladislav KamenevWolf Pack (NYR)C/LW/RW8251621336091686414527.81%9100012.201015430000602261.70%4700000.4200000123
14Matt RoyWolf Pack (NYR)D8261319-212420140516622319.09%68156719.124610483021011278300.00%000000.2400022213
15Rudolfs BalcersWolf Pack (NYR)LW82811193200354556234714.29%66437.8410110000004124.14%2900000.5900000412
16Johan LarssonRangersC/LW4849134120331044719448.51%1665613.6901134900012082057.99%73800000.4025000211
17Alexander TrueWolf Pack (NYR)C428412526040363891921.05%03929.33000018000031154.55%29700000.6100000014
18Joachim BlichfeldWolf Pack (NYR)RW142131401271241016.67%015911.42000000002231025.00%400000.3800000000
19Logan StanleyWolf Pack (NYR)D181010591553341025.00%1828515.8600003000028000.00%000000.0700003001
Stats d'équipe Total ou en Moyenne132420537658111077870122815031662478123512.33%3492094815.82641231875083843347222206472456.60%542900200.5512320410454849
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
1Igor ShesterkinWolf Pack (NYR)82532360.8911.9148430615414160200.73330820420
2Connor IngramWolf Pack (NYR)40000.9331.15104002300000.0000066000
Stats d'équipe Total ou en Moyenne86532360.8921.8949470615614460200.733308266420


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 RestantSalaire MoyenSalaire Moyen 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
Adam BoqvistWolf Pack (NYR)D192000-08-14Yes179 Lbs5 ft11NoNoNo3Pro & Farm1,744,167$14,066$1,744,167$14,066$0$0$No1,744,167$1,744,167$
Aleksi HeponiemiWolf Pack (NYR)C/RW211999-01-09Yes150 Lbs5 ft10NoNoNo3Pro & Farm1,775,000$14,315$1,775,000$14,315$0$0$No1,775,000$1,775,000$
Aleksi SaarelaWolf Pack (NYR)C231997-01-07No198 Lbs5 ft11NoNoNo3Pro & Farm1,152,500$9,294$902,500$7,278$0$0$No902,500$902,500$Lien
Alexander TrueWolf Pack (NYR)C221997-07-17No201 Lbs6 ft5NoNoNo3Pro & Farm1,050,000$8,468$800,000$6,452$0$0$No800,000$800,000$Lien
Brendan LemieuxWolf Pack (NYR)LW/RW241996-03-14No210 Lbs6 ft1NoNoNo1Pro & Farm1,039,167$8,380$1,039,167$8,380$0$0$NoLien
Christian DjoosWolf Pack (NYR)D251994-08-06No169 Lbs6 ft0NoNoNo1Pro & Farm650,000$5,242$650,000$5,242$0$0$NoLien
Connor IngramWolf Pack (NYR)G231997-03-31No204 Lbs6 ft1NoNoNo2Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$Lien
Gabriel VilardiWolf Pack (NYR)C201999-08-15Yes201 Lbs6 ft3NoNoNo3Pro & Farm1,627,000$13,121$1,627,000$13,121$0$0$No1,627,000$1,627,000$
Hayden VerbeekWolf Pack (NYR)C/LW221997-10-17No183 Lbs5 ft10NoNoNo3Pro & Farm776,666$6,263$776,666$6,263$0$0$No776,666$776,666$Lien
Igor ShesterkinWolf Pack (NYR)G241995-12-30Yes187 Lbs6 ft1NoNoNo2Pro & Farm3,775,000$30,444$3,775,000$30,444$0$0$No3,775,000$
Isac LundestromWolf Pack (NYR)C201999-11-06No185 Lbs6 ft0NoNoNo2Pro & Farm925,000$7,460$450,000$3,629$0$0$No925,000$Lien
Jack HughesWolf Pack (NYR)C/LW192001-05-13Yes171 Lbs5 ft10NoNoNo3Pro & Farm3,775,000$30,444$3,775,000$30,444$0$0$No3,775,000$3,775,000$
Joachim BlichfeldWolf Pack (NYR)RW211998-07-16Yes180 Lbs6 ft2NoNoNo3Pro & Farm1,290,000$10,403$790,000$6,371$0$0$No790,000$790,000$Lien
Kaapo KakkoWolf Pack (NYR)RW192001-02-13Yes190 Lbs6 ft2NoNoNo3Pro & Farm3,575,000$28,831$3,575,000$28,831$0$0$No3,575,000$3,575,000$
Kody ClarkWolf Pack (NYR)RW201999-10-12Yes179 Lbs6 ft1NoNoNo3Pro & Farm894,167$7,211$894,167$7,211$0$0$No894,167$894,167$
Logan BrownWolf Pack (NYR)C221998-03-04No220 Lbs6 ft6NoNoNo2Pro & Farm1,573,333$12,688$1,573,333$12,688$0$0$No1,573,333$Lien
Logan StanleyWolf Pack (NYR)D221998-05-25No228 Lbs6 ft7NoNoNo2Pro & Farm1,075,833$8,676$1,075,833$8,676$0$0$No1,075,833$Lien
Matt RoyWolf Pack (NYR)D251995-02-28No200 Lbs6 ft1NoNoNo3Pro & Farm1,200,000$9,677$700,000$5,645$0$0$No700,000$700,000$Lien
Rem PitlickWolf Pack (NYR)C/LW231997-04-01Yes196 Lbs5 ft11NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Rudolfs BalcersWolf Pack (NYR)LW231997-04-08No165 Lbs5 ft11NoNoNo2Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$Lien
Ryan GravesWolf Pack (NYR)D251995-05-20No216 Lbs6 ft5NoNoNo2Pro & Farm650,000$5,242$650,000$5,242$0$0$No650,000$Lien
Sam LaffertyWolf Pack (NYR)C/LW/RW251995-03-06No194 Lbs6 ft1NoNoNo3Pro & Farm975,000$7,863$925,000$7,460$0$0$No925,000$925,000$Lien
Vitaly AbramovWolf Pack (NYR)LW/RW221998-05-08No172 Lbs5 ft9NoNoNo2Pro & Farm880,000$7,097$880,000$7,097$0$0$No880,000$Lien
Vladislav KamenevWolf Pack (NYR)C/LW/RW231996-08-12No194 Lbs6 ft2NoNoNo3Pro & Farm800,000$6,452$750,000$6,048$0$0$No750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2422.17191 Lbs6 ft12.501,415,743$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan LemieuxGabriel VilardiKaapo Kakko35023
2Jack HughesLogan BrownVladislav Kamenev30023
3Rem PitlickIsac LundestromSam Lafferty25032
4Rudolfs BalcersAlexander TrueVitaly Abramov10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesChristian Djoos35122
2Matt RoyAdam Boqvist30122
325122
4Ryan GravesChristian Djoos10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jack HughesLogan BrownKaapo Kakko60122
2Brendan LemieuxGabriel VilardiVitaly Abramov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam BoqvistChristian Djoos60122
2Ryan GravesMatt Roy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel VilardiBrendan Lemieux60122
2Isac LundestromSam Lafferty40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesChristian Djoos60122
2Matt Roy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Sam Lafferty60122Ryan GravesChristian Djoos60122
2Isac Lundestrom40122Matt Roy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel VilardiKaapo Kakko60122
2Brendan LemieuxJack Hughes40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan GravesChristian Djoos60122
2Matt RoyAdam Boqvist40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jack HughesGabriel VilardiKaapo KakkoRyan GravesChristian Djoos
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan LemieuxSam LaffertyKaapo KakkoRyan GravesMatt Roy
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Logan Brown, Gabriel Vilardi, Vladislav KamenevLogan Brown, Kaapo KakkoLogan Brown
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Boqvist, Matt Roy, Christian DjoosAdam BoqvistMatt Roy, Adam Boqvist
Tirs de Pénalité
Gabriel Vilardi, Kaapo Kakko, Brendan Lemieux, Jack Hughes, Isac Lundestrom
Gardien
#1 : Igor Shesterkin, #2 :


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
1Admirals32100000532110000003032110000023-140.667591401747760135754958155847401153411417.14%17288.24%01300231056.28%1160207255.98%638113256.36%214815311846588979505
2Bruins3110000156-1110000002112010000135-230.50051015007477601356549581558475815404320210.00%20290.00%01300231056.28%1160207255.98%638113256.36%214815311846588979505
3Condors22000000725110000003121100000041341.00071219007477601352549581558473411162721314.29%8187.50%01300231056.28%1160207255.98%638113256.36%214815311846588979505
4Crunch422000001174211000005232110000065140.500111728017477601382549581558478929426426415.38%20195.00%11300231056.28%1160207255.98%638113256.36%214815311846588979505
5Flames421000017521000000112-13210000063350.62571320017477601374549581558477323557126311.54%25292.00%01300231056.28%1160207255.98%638113256.36%214815311846588979505
6Griffins44000000166103300000014591100000021181.000163046007477601399549581558476720435720315.00%16568.75%11300231056.28%1160207255.98%638113256.36%214815311846588979505
7IceHogs2010010047-31010000013-21000010034-110.250461000747760133354958155847401426398112.50%13284.62%01300231056.28%1160207255.98%638113256.36%214815311846588979505
8Marlies330000001165110000004222200000074361.00011203100747760137254958155847521132621516.67%16381.25%01300231056.28%1160207255.98%638113256.36%214815311846588979505
9Monarchs22000000743110000004221100000032141.00071320007477601343549581558472712183613323.08%90100.00%01300231056.28%1160207255.98%638113256.36%214815311846588979505
10Monsters871000002314944000000147743100000972140.875234568007477601314454958155847114346912446817.39%28582.14%01300231056.28%1160207255.98%638113256.36%214815311846588979505
11Moose22000000514110000001011100000041341.000581301747760133354958155847339163012216.67%80100.00%01300231056.28%1160207255.98%638113256.36%214815311846588979505
12Penguins83300020181714120001078-1421000101192100.625183149007477601316654958155847128321001474948.16%38781.58%01300231056.28%1160207255.98%638113256.36%214815311846588979505
13Phantoms84200011241864210000113103421000101183110.6882444680174776013155549581558471474487126591118.64%39294.87%01300231056.28%1160207255.98%638113256.36%214815311846588979505
14Rampage2200000013112110000007161100000060641.00013233601747760137854958155847368414414321.43%40100.00%01300231056.28%1160207255.98%638113256.36%214815311846588979505
15Rocket3020000138-52020000026-41000000112-110.16736900747760135754958155847661126621616.25%11190.91%01300231056.28%1160207255.98%638113256.36%214815311846588979505
16Senators3210000010822110000067-11100000041340.667101929007477601379549581558475318344213323.08%15193.33%01300231056.28%1160207255.98%638113256.36%214815311846588979505
17Sharks2020000037-41010000025-31010000012-100.00036900747760133454958155847431618367114.29%9277.78%01300231056.28%1160207255.98%638113256.36%214815311846588979505
18Soldiers2110000034-11010000003-31100000031220.5003690074776013415495815584737930281616.25%15193.33%01300231056.28%1160207255.98%638113256.36%214815311846588979505
19Sound Tigers824010011624-8412010001013-341200001611-570.43816304600747760131725495815584717750711483837.89%32778.13%01300231056.28%1160207255.98%638113256.36%214815311846588979505
20Stars21100000541110000004221010000012-120.500510150074776013375495815584743102835700.00%14192.86%01300231056.28%1160207255.98%638113256.36%214815311846588979505
21Wolves75000020211011420000201055330000001156141.00021335400747760131395495815584796287413542921.43%29196.55%11300231056.28%1160207255.98%638113256.36%214815311846588979505
Total82472301155217162554123120103211385284124110012310477271120.6832173916080674776013170354958155847145341591913974826713.90%3864688.08%31300231056.28%1160207255.98%638113256.36%214815311846588979505
_Since Last GM Reset82472301155217162554123120103211385284124110012310477271120.6832173916080674776013170354958155847145341591913974826713.90%3864688.08%31300231056.28%1160207255.98%638113256.36%214815311846588979505
_Vs Conference4424130003411289232111700012544592313600022584414580.6591122053170374776013885549581558477802174857412703713.70%2122488.68%11300231056.28%1160207255.98%638113256.36%214815311846588979505
_Vs Division3216700032817381673000124438616940002037352400.625811502310174776013637549581558475661603275451922613.54%1372184.67%01300231056.28%1160207255.98%638113256.36%214815311846588979505

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82112L121739160817031453415919139706
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8247231155217162
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412312103211385
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412411012310477
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4826713.90%3864688.08%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
5495815584774776013
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
1300231056.28%1160207255.98%638113256.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
214815311846588979505


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-09-271Phantoms5Wolf Pack4LXXSommaire du Match
3 - 2020-09-2923Wolves1Wolf Pack2WSommaire du Match
4 - 2020-09-3031Wolf Pack4Wolves2WSommaire du Match
5 - 2020-10-0143Wolves2Wolf Pack3WXXSommaire du Match
7 - 2020-10-0354Wolf Pack5Penguins3WSommaire du Match
8 - 2020-10-0461Wolf Pack2Phantoms1WSommaire du Match
10 - 2020-10-0675Wolf Pack4Phantoms2WSommaire du Match
12 - 2020-10-0885Sound Tigers2Wolf Pack3WSommaire du Match
14 - 2020-10-1091Monsters3Wolf Pack5WSommaire du Match
17 - 2020-10-13110IceHogs3Wolf Pack1LSommaire du Match
19 - 2020-10-15120Wolf Pack2Bruins3LXXSommaire du Match
21 - 2020-10-17134Penguins2Wolf Pack3WXXSommaire du Match
22 - 2020-10-18140Wolf Pack3Sound Tigers1WSommaire du Match
24 - 2020-10-20156Phantoms3Wolf Pack2LSommaire du Match
26 - 2020-10-22172Wolf Pack1Flames2LSommaire du Match
27 - 2020-10-23181Senators2Wolf Pack3WSommaire du Match
28 - 2020-10-24188Wolf Pack0Sound Tigers4LSommaire du Match
30 - 2020-10-26198Wolf Pack2Admirals1WSommaire du Match
32 - 2020-10-28209Wolves1Wolf Pack3WSommaire du Match
34 - 2020-10-30224Phantoms0Wolf Pack3WSommaire du Match
36 - 2020-11-01232Wolf Pack3Flames1WSommaire du Match
38 - 2020-11-03244Sound Tigers2Wolf Pack3WXSommaire du Match
40 - 2020-11-05260Marlies2Wolf Pack4WSommaire du Match
42 - 2020-11-07268Wolf Pack1Sound Tigers3LSommaire du Match
44 - 2020-11-09280Wolf Pack4Marlies2WSommaire du Match
45 - 2020-11-10287Wolf Pack1Phantoms2LSommaire du Match
46 - 2020-11-11295Monsters1Wolf Pack2WSommaire du Match
48 - 2020-11-13309Monsters1Wolf Pack2WSommaire du Match
49 - 2020-11-14318Wolf Pack1Penguins3LSommaire du Match
51 - 2020-11-16334Rocket2Wolf Pack1LSommaire du Match
52 - 2020-11-17347Wolf Pack1Monsters2LSommaire du Match
53 - 2020-11-18356Griffins3Wolf Pack4WSommaire du Match
54 - 2020-11-19362Wolf Pack3Monsters2WSommaire du Match
55 - 2020-11-20377Bruins1Wolf Pack2WSommaire du Match
57 - 2020-11-22390Wolf Pack0Admirals2LSommaire du Match
58 - 2020-11-23399Wolf Pack4Wolves2WSommaire du Match
59 - 2020-11-24408Crunch0Wolf Pack5WSommaire du Match
60 - 2020-11-25421Stars2Wolf Pack4WSommaire du Match
62 - 2020-11-27433Condors1Wolf Pack3WSommaire du Match
64 - 2020-11-29445Wolf Pack4Condors1WSommaire du Match
65 - 2020-11-30457Wolf Pack3Crunch4LSommaire du Match
66 - 2020-12-01465Sharks5Wolf Pack2LSommaire du Match
68 - 2020-12-03479Wolf Pack2Griffins1WSommaire du Match
69 - 2020-12-04487Rocket4Wolf Pack1LSommaire du Match
71 - 2020-12-06498Wolf Pack1Rocket2LXXSommaire du Match
72 - 2020-12-07509Wolf Pack2Flames0WSommaire du Match
73 - 2020-12-08518Phantoms2Wolf Pack4WSommaire du Match
74 - 2020-12-09529Wolf Pack3Marlies2WSommaire du Match
76 - 2020-12-11541Penguins1Wolf Pack0LSommaire du Match
78 - 2020-12-13553Wolf Pack4Moose1WSommaire du Match
79 - 2020-12-14560Monarchs2Wolf Pack4WSommaire du Match
80 - 2020-12-15571Wolf Pack3Monarchs2WSommaire du Match
81 - 2020-12-16583Wolf Pack3Wolves1WSommaire du Match
83 - 2020-12-18594Rampage1Wolf Pack7WSommaire du Match
85 - 2020-12-20607Crunch2Wolf Pack0LSommaire du Match
86 - 2020-12-21618Penguins3Wolf Pack1LSommaire du Match
87 - 2020-12-22629Wolf Pack1Bruins2LSommaire du Match
89 - 2020-12-24638Wolf Pack3IceHogs4LXSommaire du Match
91 - 2020-12-26648Flames2Wolf Pack1LXXSommaire du Match
92 - 2020-12-27663Sound Tigers5Wolf Pack1LSommaire du Match
94 - 2020-12-29672Wolf Pack1Stars2LSommaire du Match
95 - 2020-12-30680Wolf Pack1Sharks2LSommaire du Match
96 - 2020-12-31694Moose0Wolf Pack1WSommaire du Match
97 - 2021-01-01705Wolf Pack2Monsters1WSommaire du Match
98 - 2021-01-02712Monsters2Wolf Pack5WSommaire du Match
99 - 2021-01-03724Wolf Pack6Rampage0WSommaire du Match
101 - 2021-01-05735Griffins1Wolf Pack7WSommaire du Match
102 - 2021-01-06748Wolf Pack4Phantoms3WXXSommaire du Match
103 - 2021-01-07754Wolf Pack3Penguins2WXXSommaire du Match
104 - 2021-01-08765Penguins2Wolf Pack3WSommaire du Match
105 - 2021-01-09776Wolf Pack2Penguins1WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
107 - 2021-01-11787Admirals0Wolf Pack3WSommaire du Match
108 - 2021-01-12798Wolf Pack4Senators1WSommaire du Match
109 - 2021-01-13804Wolf Pack2Sound Tigers3LXXSommaire du Match
111 - 2021-01-15816Senators5Wolf Pack3LSommaire du Match
112 - 2021-01-16830Griffins1Wolf Pack3WSommaire du Match
113 - 2021-01-17838Wolf Pack3Soldiers1WSommaire du Match
115 - 2021-01-19849Wolves1Wolf Pack2WXXSommaire du Match
117 - 2021-01-21864Sound Tigers4Wolf Pack3LSommaire du Match
118 - 2021-01-22871Wolf Pack3Crunch1WSommaire du Match
119 - 2021-01-23882Wolf Pack3Monsters2WSommaire du Match
122 - 2021-01-26894Soldiers3Wolf Pack0LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
4,508,879$ 3,397,784$ 3,190,284$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 3,541,757$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 35,264$ 35,264$




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