Wolf Pack

GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 4 | GA: 2 | PP%: 0.00% | PK%: 75.00%
DG: Harry Huet | Morale : 50 | Moyenne d'Équipe : 66
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 SP
1Devante Smith-PellyX97.00823991797070765250475669546374050690
2Daniel WinnikX98.00523593826963615148485471538480050680
3Dominic MooreX100.00643294845960525054455468539988050670
4Joel WardX100.00543393797262525252475665549987047670
5Jussi JokinenX100.00503394855963535349515566569082047670
6Trevor SmithX100.00733992836562425152495370528483047670
7Nikolay KuleminX100.00623395797359425146465573558180047670
8Marian GaborikX100.00503392846461445446496059599383047661
9Matt StajanX100.00573393846261574956465369529083050660
10Tommy WingelsX100.00713692836262585051455565547577047660
11David DesharnaisX100.00493194844562545359515460548176047640
12Adam CracknellX100.00553595827159384753415265528478050640
13Marc MethotX99.00953978807764445151505281518488050740
14Clayton StonerX98.00724585827261255151505568538483044680
15Johnny OduyaX99.00563292845660445152495570549686047670
16Cody FransonX100.00563394817762405150525360527876047660
17Nate ProsserX100.00573394846363445151485364528177047660
18Patrick WierciochX100.00493395847055364849475257526969050620
Rayé
1Andreas MartinsenX100.00773993797861394850435261516973050650
2Shawn MatthiasX100.00553494808058394946445463537574047640
3Matt ReadX100.00583495845463404950445467528178050640
4Corban KnightX100.00523495856457275057475266526971050630
5Mike RibeiroX100.00493195865557385047485257519984050630
6Darren ArchibaldX100.00574194827158284748425266516971050620
7David ClarksonX100.00493395816452284641415155518776047600
8Carson Soucy (R)X100.00453295837250254548455055505761050590
MOYENNE D'ÉQUIPE99.6559359382666043505047546553827804865
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
1Kari Lehtonen100.0070428579667071706967599781050700
Rayé
1Joonas Korpisalo91.2878377071827579788065615360050730
2Adin Hill (R)100.0078278078757478777665574553050700
3Antoine Bibeau (R)100.0060257778576060606065555349050570
MOYENNE D'ÉQUIPE97.757233787770707271716658626105068
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Sacco76728378767575USA5031,000,000$


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
1Nate ProsserWolf Pack (NYR)D2022200161110.00%23417.240000001102000.00%001001.1600000001
2Daniel WinnikWolf Pack (NYR)RW2011100117340.00%04120.6200001000070066.67%310000.4900000000
3Dominic MooreWolf Pack (NYR)C2011100436500.00%03517.5200001000010042.86%2102000.5700000000
4Jussi JokinenWolf Pack (NYR)LW21011002361216.67%03517.9400001000000140.00%511000.5600000010
5Devante Smith-PellyWolf Pack (NYR)RW21012005461616.67%04422.1900002000181050.00%1831000.4500000100
6Trevor SmithWolf Pack (NYR)C21011204861516.67%03819.0000002000120048.72%3910000.5300000000
7Johnny OduyaWolf Pack (NYR)D2011220411200.00%04422.420000100002000.00%034000.4500000001
8Nikolay KuleminWolf Pack (NYR)LW2011100245120.00%23015.4200001000010033.33%310000.6500000000
9Tommy WingelsWolf Pack (NYR)LW21011001220150.00%0157.910000010110100.00%100001.2600000010
10David DesharnaisWolf Pack (NYR)C2000000132010.00%0168.4700000000000025.00%400000.0000000000
11Joel WardWolf Pack (NYR)LW2000100421020.00%03015.1900000000020066.67%300000.0000000000
12Marian GaborikWolf Pack (NYR)RW2000000213120.00%02412.13000000000000100.00%210000.0000000000
13Matt StajanWolf Pack (NYR)C2000000143010.00%12412.2000000000000057.14%1420000.0000000000
14Andreas MartinsenWolf Pack (NYR)LW1000100001000.00%033.580000000000000.00%000000.0000000000
15Clayton StonerWolf Pack (NYR)D2000220726120.00%25326.670000200017000.00%040000.0000000000
16Cody FransonWolf Pack (NYR)D2000140113120.00%33718.760000000013000.00%001000.0000000000
17Marc MethotWolf Pack (NYR)D2000160534220.00%15125.840000200014000.00%004000.0000000000
18Adam CracknellWolf Pack (NYR)RW2000000200000.00%0157.630000000000000.00%000000.0000000000
19Patrick WierciochWolf Pack (NYR)D1000000000100.00%01515.730000000003000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne3646101816047486321336.35%1159316.490000191126472148.67%1131714000.3400000122
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
1Kari LehtonenWolf Pack (NYR)22000.9591.111080024930000.000011000
2Joonas KorpisaloWolf Pack (NYR)10001.0000.0013000118000.000010000
Stats d'équipe Total ou en Moyenne32000.9670.991210026038000.000021000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam CracknellWolf Pack (NYR)RW351985-01-01No209 Lbs6 ft3NoNoNo1Pro & Farm600,000$600,000$0$0$NoLien NHL
Adin HillWolf Pack (NYR)G241996-01-01Yes202 Lbs6 ft6NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien NHL
Andreas MartinsenWolf Pack (NYR)LW301990-01-01No229 Lbs6 ft3NoNoNo1Pro & Farm550,000$550,000$0$0$NoLien NHL
Antoine BibeauWolf Pack (NYR)G261994-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm900,000$900,000$0$0$No
Carson SoucyWolf Pack (NYR)D261994-01-01Yes208 Lbs6 ft5NoNoNo1Pro & Farm500,000$500,000$0$0$NoLien / Lien NHL
Clayton StonerWolf Pack (NYR)D351985-01-01No216 Lbs6 ft4NoNoNo4Pro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$Lien
Cody FransonWolf Pack (NYR)D331987-01-01No224 Lbs6 ft5NoNoNo1Pro & Farm625,000$625,000$0$0$NoLien / Lien NHL
Corban KnightWolf Pack (NYR)C301990-01-01No195 Lbs6 ft2NoNoNo1Pro & Farm550,000$550,000$0$0$No
Daniel WinnikWolf Pack (NYR)RW351985-01-01No210 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien NHL
Darren ArchibaldWolf Pack (NYR)RW301990-01-01No210 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien NHL
David ClarksonWolf Pack (NYR)RW361984-01-01No207 Lbs6 ft0NoNoNo1Pro & Farm575,000$575,000$0$0$No
David DesharnaisWolf Pack (NYR)C341986-01-01No180 Lbs5 ft7NoNoNo2Pro & Farm600,000$600,000$0$0$No600,000$Lien NHL
Devante Smith-PellyWolf Pack (NYR)RW281992-01-01No223 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien NHL
Dominic MooreWolf Pack (NYR)C401980-01-01No192 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien NHL
Joel WardWolf Pack (NYR)LW401980-01-01No225 Lbs6 ft1NoNoNo4Pro & Farm600,000$600,000$0$0$No600,000$600,000$600,000$Lien NHL
Johnny OduyaWolf Pack (NYR)D391981-01-01No195 Lbs6 ft0NoNoNo4Pro & Farm650,000$650,000$0$0$No650,000$650,000$650,000$Lien / Lien NHL
Joonas KorpisaloWolf Pack (NYR)G261994-01-01No182 Lbs6 ft3NoNoNo4Pro & Farm1,750,000$1,750,000$0$0$No1,750,000$1,750,000$1,750,000$Lien NHL
Jussi JokinenWolf Pack (NYR)LW371983-01-01No191 Lbs6 ft0NoNoNo3Pro & Farm675,000$675,000$0$0$No675,000$675,000$Lien NHL
Kari LehtonenWolf Pack (NYR)G371983-01-01No209 Lbs6 ft4NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien NHL
Marc MethotWolf Pack (NYR)D351985-01-01No230 Lbs6 ft4NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien / Lien NHL
Marian GaborikWolf Pack (NYR)RW381982-01-01No200 Lbs6 ft1NoNoNo4Pro & Farm900,000$900,000$0$0$No900,000$900,000$900,000$Lien NHL
Matt Read (Contrat à 1 Volet)Wolf Pack (NYR)RW341986-01-01No188 Lbs5 ft10NoNoNo1Farm Only600,000$600,000$60,000$60,000$NoLien NHL
Matt StajanWolf Pack (NYR)C371983-01-01No195 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien NHL
Mike RibeiroWolf Pack (NYR)C401980-01-01No179 Lbs6 ft0NoNoNo1Pro & Farm575,000$575,000$0$0$No
Nate ProsserWolf Pack (NYR)D341986-01-01No201 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Nikolay KuleminWolf Pack (NYR)LW341986-01-01No228 Lbs6 ft1NoNoNo4Pro & Farm600,000$600,000$0$0$No600,000$600,000$600,000$Lien NHL
Patrick WierciochWolf Pack (NYR)D301990-01-01No202 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Shawn MatthiasWolf Pack (NYR)LW321988-01-01No231 Lbs6 ft4NoNoNo2Pro & Farm600,000$600,000$0$0$No600,000$Lien NHL
Tommy WingelsWolf Pack (NYR)LW321988-01-01No200 Lbs6 ft0NoNoNo3Pro & Farm650,000$650,000$0$0$No650,000$650,000$Lien NHL
Trevor SmithWolf Pack (NYR)C331987-01-01No202 Lbs6 ft1NoNoNo4Pro & Farm875,000$875,000$0$0$No875,000$875,000$875,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3033.33206 Lbs6 ft22.23742,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jussi JokinenTrevor SmithDevante Smith-Pelly40122
2Joel WardDominic MooreDaniel Winnik30122
3Nikolay KuleminMatt StajanMarian Gaborik20122
4Tommy WingelsDavid DesharnaisAdam Cracknell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc MethotClayton Stoner40122
2Johnny OduyaNate Prosser30122
3Cody FransonPatrick Wiercioch20122
4Marc MethotClayton Stoner10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jussi JokinenTrevor SmithDevante Smith-Pelly60122
2Joel WardDominic MooreDaniel Winnik40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc MethotClayton Stoner60122
2Johnny OduyaNate Prosser40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Devante Smith-PellyDaniel Winnik60122
2Trevor SmithDominic Moore40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc MethotClayton Stoner60122
2Johnny OduyaNate Prosser40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Devante Smith-Pelly60122Marc MethotClayton Stoner60122
2Daniel Winnik40122Johnny OduyaNate Prosser40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Devante Smith-PellyDaniel Winnik60122
2Trevor SmithDominic Moore40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marc MethotClayton Stoner60122
2Johnny OduyaNate Prosser40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jussi JokinenTrevor SmithDevante Smith-PellyMarc MethotClayton Stoner
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jussi JokinenTrevor SmithDevante Smith-PellyMarc MethotClayton Stoner
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nikolay Kulemin, Marian Gaborik, Tommy WingelsNikolay Kulemin, Marian GaborikTommy Wingels
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cody Franson, Patrick Wiercioch, Johnny OduyaCody FransonPatrick Wiercioch, Johnny Oduya
Tirs de Pénalité
Devante Smith-Pelly, Daniel Winnik, Trevor Smith, Dominic Moore, Jussi Jokinen
Gardien
#1 : , #2 : Kari Lehtonen


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
1Spartans10001000321100010003210000000000021.0003580010213510153442841029100.00%5260.00%0204742.55%224252.38%132454.17%382045203717
Total21001000422100010003211100000010141.000461001102163101534460111647200.00%8275.00%1204742.55%224252.38%132454.17%382045203717
3Trashers11000000101000000000001100000010121.000112011021281015344327618100.00%30100.00%1204742.55%224252.38%132454.17%382045203717
_Since Last GM Reset21001000422100010003211100000010141.000461001102163101534460111647200.00%8275.00%1204742.55%224252.38%132454.17%382045203717
_Vs Conference21001000422100010003211100000010141.000461001102163101534460111647200.00%8275.00%1204742.55%224252.38%132454.17%382045203717

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
24W24610636011164701
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
210100042
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100100032
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
110000010
Derniers 10 Matchs
WLOTWOTL SOWSOL
200000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
200.00%8275.00%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
10153441021
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
204742.55%224252.38%132454.17%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
382045203717


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
3 - 2020-01-118Wolf Pack1Trashers0WSommaire du Match
4 - 2020-01-1216Spartans2Wolf Pack3WXSommaire du Match



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
0$ 2,167,500$ 2,167,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 0$ 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
Saison Régulière
1178402601263255218373922100123113098323918160003212512058025539765222331061091024796069479024924208381084181330012240.67%28911061.94%4900167253.83%843164551.25%686120556.93%163488316687171435734
128234310454423522694112180152396115-19412213030211391112868235368603303598941025176409259285326629131167186931711335.65%33911665.78%71036178158.17%1012188553.69%654118455.24%173191917367551510784
1382452006245290182108412411020221408258412190422315010050902904437333647112121152511597883982782476811680184132213842.86%2929866.44%3945163557.80%1033186655.36%677116957.91%173791617097531538808
1482323101486210188224115150136199861341171600125111102964210319529151988941225626669189351002568858674181229110335.40%29210364.73%11104183260.26%1130196657.48%657108060.83%177396217207451511790
158235230861002571896841207072501428854411516014501151011470257395652143599105242582675942928752607919581175128911238.75%2689166.04%5980162360.38%1108188058.94%728118961.23%176396917677171466772
168245220236425917485412511000231408060412011023411199425902594216803432116103172552717924886702434821620170132312839.63%2938869.97%91019164561.95%1102183460.09%728116562.49%1828101617077041447784
17824921022262851879841269011131458659412312011131401013998285458743193711213262602642965966552410795595184733715345.40%2839367.14%71063171961.84%1048173760.33%729119860.85%175595017187391495781
1882461701288278178100412360115513984554123110013313994459227842870613311241141525666528731014842562919536168634115043.99%2688966.79%6980165159.36%1062182358.26%746119762.32%171891717807371504796
19824219021108252184684121901082138924641211001126114922284252381633034089111212520605933952972599895459194430613243.14%2317866.23%4947167856.44%1072189756.51%640114555.90%169890217987531516777
Total Saison Régulière7343682100272758442321172659536718896015143420116981135836718011401213242411529152377362321361059311536309944983130228915800831084936612273877696396162642826115140.73%255586666.11%4689741523658.90%94101653356.92%62451053259.30%156408437156086625134277030
Séries
112416800000735914121020000038271112660000035323327311018312102434576318124332019725258366594973839.18%842965.48%325352648.10%24254844.16%15733347.15%514274493228455232
121174000003627965100000211110523000001516-114365894019917130496991054336108129275442250.00%391951.28%012021954.79%11224146.47%7615748.41%235125216103213108
13261511000005458-41495000003237-5126600000222113054901440081924388223433728526885311227630762228.95%1003070.00%035961658.28%37964558.76%19233657.14%571314542241482245
1451400000914-52020000026-43120000078-12914230025111703854699167584511520525.00%17758.82%08213759.85%6611656.90%356256.45%10658105479448
152115600000524210119200000352510106400000171703052811330162218668514925724831643206155469652538.46%712367.61%026947556.63%27446958.42%16426661.65%455251432203403196
162115600000524210119200000352510106400000171703052811330162218668514925724831643206155469652538.46%712367.61%026947556.63%27446958.42%16426661.65%455251432203403196
1711560000027270615000001319-6541000001486102738650131680350841361191135213266264341647.06%33972.73%014822366.37%16124166.80%11817069.41%24713222697210113
18201190000041383108200000241591037000001723-62241651060241618368216727620138566202134451481327.08%672267.16%024444055.45%25246654.08%13425552.55%450252409201397192
19149500000322758530000017170642000001510518325183026151014351101741401134711674439501734.00%381657.89%016731752.68%14526953.90%8416052.50%296159283142282135
Total Séries15394590000037633442805624000002171823573383500000159152718837658896411054148148264956120818331735180466415971351370649918336.67%52017865.77%31911342855.75%1905346454.99%1124200556.06%333418193142146929421468