Wolf Pack

GP: 10 | W: 6 | L: 4 | OTL: 0 | P: 12
GF: 22 | GA: 13 | PP%: 5.88% | PK%: 88.00%
DG: Steve Lechasseur | Morale : 53 | Moyenne d'Équipe : 61
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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
1Johan Larsson (A)XX100.008145776473778663796258776173675955650
2TJ TynanXX100.005436906461949263756659656273705655640
3Chris Terry (C)XX100.005437876469939163686162586378705555630
4Corey TroppXX100.005745656272908561645960576178705155620
5Lane PedersonX100.005837876172939060645859576063626355610
6Mitch CallahanX100.005936905972928858625756585775685753610
7Tyler GaudetXX100.006938855884898357635853595571665940610
8Jayce HawrylukXXX100.007442905972736958645657635865637755600
9Wade MeganX100.005637885976756759675958595677695155600
10Michael BuntingXX100.005439836072786859585960565867645856590
11Marko DanoXXX100.006145805875766857615856625469657755590
12Kole SherwoodXX100.007338865978796958545657555463625455590
13Slater Koekkoek (A)X100.007339846579815063306462715369658355650
14Sean WalkerX100.006738866772796266307164625369655455640
15Keegan LoweX100.006339815679939054305752564871766255620
16Austin StrandX100.007238855787857956305653594663626355620
17Julius HonkaX100.005638876468755663306258665767648255610
18Ryan CulkinX100.005634805580767255305652564564655151590
Rayé
1Jimmy HayesX100.007636905792949356585555615678705443620
2Colton HargroveX100.006837885680949555575354565573675840600
3Tye McGinnXX100.007339825587928854565254585477695640600
4Luke GazdicX100.007744685691777155585453595478705540590
5Joseph CramarossaXX100.005944675573918654585551545373675640580
6Ryan BourqueXX100.005038865566918754565352585475685340580
7Cody BassXXX100.006345655475817553545251535280725340570
8Cameron HebigXXX100.005037885758928956615654505563626340570
9Ty LewisX100.005138865657908455585554525361636440570
10Michael PaliottaX100.007239835488807453305351574671666340610
11Steve OleksyX100.005844695672837755305351594582735240600
12Vincent LoVerdeX100.006137885373939152305250534578705540600
13Kevin DavisX100.006344645470778053305552585573675242590
14Zachary LeslieX100.006344645272778052305351585573665340590
MOYENNE D'ÉQUIPE100.00634081587585795751575559547267594860
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
1Alex Lyon100.00786866787776787776787773774250730
2Ukko-Pekka Luukkonen (R)100.00746462867372747372747360637855700
Rayé
MOYENNE D'ÉQUIPE100.0076666482757476757476756770605372
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo75858080686380CAN4558,000,000$


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'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
1Johan LarssonWolf Pack (NYR)C/LW10551010120343439142312.82%222222.240004450003441053.71%28300000.9000000201
2Chris TerryWolf Pack (NYR)LW/RW101671000411276173.70%018818.880116460000100050.00%1000000.7400000010
3Slater KoekkoekWolf Pack (NYR)D10246718017121941010.53%722722.731011143000035100.00%000000.5300000100
4TJ TynanWolf Pack (NYR)C/RW10246120424359315.71%321721.7810110440000371061.94%13400000.5500000001
5Michael BuntingWolf Pack (NYR)LW/RW103251951041941415.79%215015.00011434000001066.67%600000.6700001101
6Corey TroppWolf Pack (NYR)LW/RW102354601361971610.53%015915.96000521000040045.45%1100000.6300000001
7Austin StrandWolf Pack (NYR)D102359180173651133.33%722122.10101242000039000.00%000000.4500000020
8Julius HonkaWolf Pack (NYR)D10134740251051210.00%321021.05000539000133100.00%000000.3800000010
9Jayce HawrylukWolf Pack (NYR)C/LW/RW10112240119931311.11%311211.24000030000210040.00%1500000.3600000002
10Lane PedersonWolf Pack (NYR)C1011220031114797.14%110110.1500016000001054.13%10900000.3900000010
11Keegan LoweWolf Pack (NYR)D100117401134330.00%621221.29011141000023000.00%000000.0900000000
12Wade MeganWolf Pack (NYR)C10011-1005861130.00%0959.54011220000000050.60%8300000.2100000000
13Marko DanoWolf Pack (NYR)C/LW/RW10011-1208693100.00%411111.11000000000400050.00%800000.1800000000
14Mitch CallahanWolf Pack (NYR)RW90111007911370.00%110311.54000030000140062.50%1600000.1900000000
15Kole SherwoodWolf Pack (NYR)C/RW100110809311370.00%0666.6100000000000055.56%900000.3000000000
16Ryan CulkinWolf Pack (NYR)D4011140530110.00%25914.920000000000000.00%000000.3400000000
17Jimmy HayesWolf Pack (NYR)RW1000000113040.00%01717.85000020000000100.00%100000.0000000000
18Kevin DavisWolf Pack (NYR)D6000-5255511000.00%07813.100000000005000.00%000000.0000001000
Stats d'équipe Total ou en Moyenne1602038585511610166153242782018.26%41255615.983475139600043126054.89%68500000.4500002456
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
1Alex LyonWolf Pack (NYR)86200.9431.204510391590000.000082201
2Ukko-Pekka LuukkonenWolf Pack (NYR)30200.8891.64146004360000.000028000
Stats d'équipe Total ou en Moyenne116400.9331.3159703131950000.00001010201


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
Alex LyonWolf Pack (NYR)G261992-12-09No201 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Austin StrandWolf Pack (NYR)D221997-02-17No216 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Cameron HebigWolf Pack (NYR)C/LW/RW221997-01-21No184 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Chris TerryWolf Pack (NYR)LW/RW301989-04-07No191 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Cody BassWolf Pack (NYR)C/LW/RW321987-01-07No205 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Colton HargroveWolf Pack (NYR)LW271992-06-25No215 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Corey TroppWolf Pack (NYR)LW/RW291989-07-25No186 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm300,000$0$0$NoLien
Jayce HawrylukWolf Pack (NYR)C/LW/RW231996-01-01No196 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Jimmy HayesWolf Pack (NYR)RW291989-11-21No215 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Johan LarssonWolf Pack (NYR)C/LW261992-07-25No202 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Joseph CramarossaWolf Pack (NYR)C/LW261992-10-26No192 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Julius HonkaWolf Pack (NYR)D231995-12-03No180 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Keegan LoweWolf Pack (NYR)D261993-03-29No191 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Kevin DavisWolf Pack (NYR)D221997-03-14No172 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Kole SherwoodWolf Pack (NYR)C/RW221997-01-22No202 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Lane PedersonWolf Pack (NYR)C211997-08-04No190 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Luke GazdicWolf Pack (NYR)LW291989-07-25No225 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Marko DanoWolf Pack (NYR)C/LW/RW241994-11-30No212 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Michael BuntingWolf Pack (NYR)LW/RW231995-09-17No197 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Michael PaliottaWolf Pack (NYR)D261993-04-06No207 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Mitch CallahanWolf Pack (NYR)RW271991-08-17No198 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Ryan BourqueWolf Pack (NYR)C/LW281991-01-03No185 Lbs5 ft9NoNoNo3Sans RestrictionPro & Farm300,000$0$0$NoLien
Ryan CulkinWolf Pack (NYR)D251993-12-15No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Sean WalkerWolf Pack (NYR)D241994-11-13No196 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Slater KoekkoekWolf Pack (NYR)D251994-02-18No193 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Steve OleksyWolf Pack (NYR)D331986-02-04No188 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm300,000$0$0$NoLien
TJ TynanWolf Pack (NYR)C/RW271992-02-25No165 Lbs5 ft8NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Ty LewisWolf Pack (NYR)RW211998-03-05No180 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Tye McGinnWolf Pack (NYR)LW/RW281990-07-29No218 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Tyler GaudetWolf Pack (NYR)C/LW261993-04-04No205 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Ukko-Pekka LuukkonenWolf Pack (NYR)G201999-03-09Yes196 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Vincent LoVerdeWolf Pack (NYR)D301989-04-14No205 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Wade MeganWolf Pack (NYR)C281990-07-22No191 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm300,000$0$0$NoLien
Zachary LeslieWolf Pack (NYR)D251994-01-31No195 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3425.74197 Lbs6 ft02.47382,353$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris TerryJohan LarssonCorey Tropp39113
2Michael BuntingTJ TynanMarko Dano33113
3Jayce HawrylukLane PedersonMitch Callahan18113
4Tyler GaudetWade MeganKole Sherwood10113
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekSean Walker40122
2Julius HonkaAustin Strand38122
3Keegan LoweRyan Culkin16131
4Slater KoekkoekSean Walker6113
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris TerryJohan LarssonCorey Tropp60014
2Michael BuntingTJ TynanMarko Dano40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekSean Walker60014
2Julius HonkaAustin Strand40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Johan LarssonJayce Hawryluk60131
2TJ TynanMarko Dano40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekSean Walker60131
2Austin StrandJulius Honka40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Johan Larsson60140Slater KoekkoekSean Walker60140
2TJ Tynan40140Julius HonkaAustin Strand40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Johan LarssonChris Terry55122
2TJ TynanMichael Bunting45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekSean Walker55122
2Julius HonkaAustin Strand45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris TerryJohan LarssonTJ TynanSlater KoekkoekSean Walker
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris TerryJohan LarssonTJ TynanSlater KoekkoekJulius Honka
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
TJ Tynan, Chris Terry, Johan LarssonJayce Hawryluk, Wade MeganMitch Callahan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sean Walker, Slater Koekkoek, Julius HonkaSean WalkerSlater Koekkoek, Julius Honka
Tirs de Pénalité
Johan Larsson, Chris Terry, TJ Tynan, Corey Tropp, Jayce Hawryluk
Gardien
#1 : Alex Lyon, #2 : Ukko-Pekka Luukkonen


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
1Checkers11000000404110000004040000000000021.00047110179604910282780186929300.00%10100.00%016530254.64%14626854.48%7213254.55%2661962186911458
2Devils22000000624110000004131100000021141.00061016007960511028278044102439600.00%11281.82%016530254.64%14626854.48%7213254.55%2661962186911458
3Eagles11000000413000000000001100000041321.0004812007960271028278024710236116.67%50100.00%016530254.64%14626854.48%7213254.55%2661962186911458
4Monsters21100000440110000001011010000034-120.50047110179604310282780388373116212.50%110100.00%016530254.64%14626854.48%7213254.55%2661962186911458
5Phantoms2020000014-31010000012-11010000002-200.000123007960431028278028526361400.00%12375.00%016530254.64%14626854.48%7213254.55%2661962186911458
6Sound Tigers211000003211010000002-21100000030320.500369017960491028278043122026600.00%10190.00%016530254.64%14626854.48%7213254.55%2661962186911458
Total10640000022139532000001055532000001284120.60022406203796026210282780195481261845135.88%50688.00%016530254.64%14626854.48%7213254.55%2661962186911458
_Since Last GM Reset10640000022139532000001055532000001284120.60022406203796026210282780195481261845135.88%50688.00%016530254.64%14626854.48%7213254.55%2661962186911458
_Vs Conference8440000014122422000006514220000087180.50014253902796018610282780153351071324224.76%44686.36%016530254.64%14626854.48%7213254.55%2661962186911458

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1012W42240622621954812618403
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
106400002213
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5320000105
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
5320000128
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
5135.88%50688.00%0
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
102827807960
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
16530254.64%14626854.48%7213254.55%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2661962186911458


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 - 2019-09-0313Wolf Pack2Devils1WSommaire du Match
3 - 2019-09-0425Devils1Wolf Pack4WSommaire du Match
6 - 2019-09-0743Sound Tigers2Wolf Pack0LSommaire du Match
8 - 2019-09-0959Wolf Pack3Monsters4LSommaire du Match
10 - 2019-09-1174Phantoms2Wolf Pack1LSommaire du Match
11 - 2019-09-1290Wolf Pack0Phantoms2LSommaire du Match
12 - 2019-09-1396Wolf Pack3Sound Tigers0WSommaire du Match
15 - 2019-09-16117Checkers0Wolf Pack4WSommaire du Match
16 - 2019-09-17131Monsters0Wolf Pack1WSommaire du Match
18 - 2019-09-19144Wolf Pack4Eagles1WSommaire 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$ 130,000$ 37,000$ 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$ 0 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