Wolf Pack

GP: 7 | W: 3 | L: 4 | OTL: 0 | P: 6
GF: 13 | GA: 12 | PP%: 3.23% | PK%: 84.62%
DG: Steve Lechasseur | Morale : 49 | Moyenne d'Équipe : 61
Prochain matchs #117 vs Checkers
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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)XX100.008145776473778663796258776173675950650
2TJ TynanXX100.005436906461949263756659656273705650640
3Chris Terry (C)XX100.005437876469939163686162586378705550630
4Corey TroppXX100.005745656272908561645960576178705150620
5Lane PedersonX100.005837876172939060645859576063626350610
6Mitch CallahanX100.005936905972928858625756585775685748610
7Jayce HawrylukXXX100.007442905972736958645657635865637750600
8Wade MeganX100.005637885976756759675958595677695150600
9Joshua Ho-SangXX100.005236916069856959626157585365638050590
10Michael BuntingXX100.005439836072786859585960565867645850590
11Marko DanoXXX100.006145805875766857615856625469657750590
12Kole SherwoodXX100.007338865978796958545657555463625450590
13Slater Koekkoek (A)X100.007339846579815063306462715369658350650
14Keegan LoweX100.006339815679939054305752564871766250620
15Austin StrandX100.007238855787857956305653594663626350620
16William Borgen (R)X100.006836905883897257305453594565636250620
17Julius HonkaX100.005638876468755663306258665767648250610
18Ryan CulkinX100.005634805580767255305652564564655146590
Rayé
1Jimmy HayesX100.007636905792949356585555615678705446620
2Tyler GaudetXX100.006938855884898357635853595571665943610
3Colton HargroveX100.006837885680949555575354565573675843600
4Tye McGinnXX100.007339825587928854565254585477695643600
5Luke GazdicX100.007744685691777155585453595478705543590
6Joseph CramarossaXX100.005944675573918654585551545373675643580
7Ryan BourqueXX100.005038865566918754565352585475685343580
8Cody BassXXX100.006345655475817553545251535280725343570
9Cameron HebigXXX100.005037885758928956615654505563626343570
10Ty LewisX100.005138865657908455585554525361636443570
11Michael PaliottaX100.007239835488807453305351574671666343610
12Steve OleksyX100.005844695672837755305351594582735243600
13Vincent LoVerdeX100.006137885373939152305250534578705543600
14Kevin DavisX100.006344645470778053305552585573675245590
15Zachary LeslieX100.006344645272778052305351585573665343590
MOYENNE D'ÉQUIPE100.00633982587585795751575559547167604760
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 Lyon100.00786866787776787776787773774245730
2Ukko-Pekka Luukkonen (R)100.00746462867372747372747360637850700
Rayé
MOYENNE D'ÉQUIPE100.0076666482757476757476756770604872
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/LW733668024262171414.29%215722.440003290002360049.77%21500000.7600000101
2Chris TerryWolf Pack (NYR)LW/RW704460019163140.00%012918.45000430000070033.33%600000.6200000000
3Michael BuntingWolf Pack (NYR)LW/RW721304042132815.38%010214.590002200000010100.00%300000.5900000100
4Corey TroppWolf Pack (NYR)LW/RW72130601161561313.33%010414.9700036000040033.33%600000.5700000001
5Austin StrandWolf Pack (NYR)D70337140712370.00%415422.14000026000030000.00%000000.3900000010
6Julius HonkaWolf Pack (NYR)D712342023641116.67%114320.53000423000024100.00%000000.4200000010
7Slater KoekkoekWolf Pack (NYR)D7123418012711189.09%515922.80101929000025000.00%000000.3800000000
8TJ TynanWolf Pack (NYR)C/RW7123020318247244.17%315822.570006290000290052.63%7600000.3800000000
9Joshua Ho-SangWolf Pack (NYR)C/RW711260026104610.00%010414.94011219000150038.46%1300000.3800000001
10Jayce HawrylukWolf Pack (NYR)C/LW/RW71122007872714.29%27510.72000020000160042.86%1400000.5300000002
11Lane PedersonWolf Pack (NYR)C71122003665716.67%1699.9200016000001051.35%7400000.5800000010
12Wade MeganWolf Pack (NYR)C7011-200555090.00%07510.82011220000000041.54%6500000.2600000000
13Mitch CallahanWolf Pack (NYR)RW6011100345330.00%06510.8800003000090058.33%1200000.3100000000
14Keegan LoweWolf Pack (NYR)D7000540534210.00%315021.50000126000020000.00%000000.0000000000
15Marko DanoWolf Pack (NYR)C/LW/RW7000-220656370.00%38011.44000000000290057.14%700000.0000000000
16Jimmy HayesWolf Pack (NYR)RW1000000113040.00%01717.85000020000000100.00%100000.0000000000
17Kevin DavisWolf Pack (NYR)D6000-5255511000.00%07813.100000000005000.00%000000.0000001000
18Kole SherwoodWolf Pack (NYR)C/RW7000-140536140.00%0466.6300000000000050.00%800000.0000000000
19Ryan CulkinWolf Pack (NYR)D1000020000000.00%11515.420000000000000.00%000000.0000000000
20William BorgenWolf Pack (NYR)D7000-360933140.00%413619.4700006000032000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne12613233630975115117164541517.93%29202416.071233728500032773049.20%50000000.3600001235
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)53200.9211.772710181010000.000052100
2Ukko-Pekka LuukkonenWolf Pack (NYR)30200.8891.64146004360000.000025000
Stats d'équipe Total ou en Moyenne83400.9121.7341701121370000.000077100


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
Joshua Ho-SangWolf Pack (NYR)C/RW231996-01-22No173 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm900,000$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
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
William BorgenWolf Pack (NYR)D221996-12-19Yes196 Lbs6 ft3NoNoNo4Contrat d'EntréePro & 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
3525.60196 Lbs6 ft02.46397,143$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris TerryJohan LarssonCorey Tropp39113
2Michael BuntingTJ TynanJoshua Ho-Sang33113
3Marko DanoWade MeganKole Sherwood18122
4Jayce HawrylukLane PedersonMitch Callahan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekJulius Honka40122
2Keegan LoweAustin Strand34122
3William BorgenRyan Culkin20131
4Slater KoekkoekJulius Honka6113
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris TerryJohan LarssonTJ Tynan60014
2Michael BuntingWade MeganJoshua Ho-Sang40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekJulius Honka60113
2Keegan LoweAustin Strand40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Johan LarssonMarko Dano60131
2TJ TynanJayce Hawryluk40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekJulius Honka60131
2Austin StrandWilliam Borgen40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Johan Larsson60140Slater KoekkoekJulius Honka60140
2TJ Tynan40140William BorgenAustin Strand40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Johan LarssonChris Terry55122
2TJ TynanJoshua Ho-Sang45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Slater KoekkoekJulius Honka60122
2Keegan LoweAustin Strand40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris TerryJohan LarssonTJ TynanSlater KoekkoekJulius Honka
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
Slater Koekkoek, Julius Honka, Keegan LoweSlater KoekkoekSlater Koekkoek, Austin Strand
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
1Devils22000000624110000004131100000021141.0006101600463051565652044102439600.00%11281.82%010221148.34%9519249.48%499750.52%166117168528440
2Monsters1010000034-1000000000001010000034-100.00035800463021565652022227145120.00%60100.00%010221148.34%9519249.48%499750.52%166117168528440
3Phantoms2020000014-31010000012-11010000002-200.00012300463043565652028526361400.00%12375.00%010221148.34%9519249.48%499750.52%166117168528440
4Sound Tigers211000003211010000002-21100000030320.50036901463049565652043122026600.00%10190.00%010221148.34%9519249.48%499750.52%166117168528440
Total7340000013121312000005504220000087160.429132336014630164565652013729971153113.23%39684.62%010221148.34%9519249.48%499750.52%166117168528440
_Since Last GM Reset7340000013121312000005504220000087160.429132336014630164565652013729971153113.23%39684.62%010221148.34%9519249.48%499750.52%166117168528440
_Vs Conference7340000013121312000005504220000087160.429132336014630164565652013729971153113.23%39684.62%010221148.34%9519249.48%499750.52%166117168528440

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76W1132336164137299711501
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73400001312
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000055
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
422000087
Derniers 10 Matchs
WLOTWOTL SOWSOL
340000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3113.23%39684.62%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
56565204630
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
10221148.34%9519249.48%499750.52%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
166117168528440


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 - 2019-09-16117Checkers-Wolf Pack-
16 - 2019-09-17131Monsters-Wolf Pack-
18 - 2019-09-19144Wolf Pack-Eagles-



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
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 139,000$ 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$ 7 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