Wolf Pack

GP: 71 | W: 45 | L: 22 | OTL: 4 | P: 94
GF: 231 | GA: 149 | PP%: 13.27% | PK%: 86.35%
DG: Steve Lechasseur | Morale : 80 | Moyenne d'Équipe : 61
Prochain matchs #1088 vs Comets
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
1Johan Larsson (A)XX100.008145776473778663796258776173675990660
2Chris Terry (C)XX100.005437876469939163686162586378705589640
3TJ Tynan (A)XX100.005436906461949263756659656273705689640
4Jimmy HayesX100.007636905792949356585555615678705478630
5Corey TroppXX100.005745656272908561645960576178705190620
6Dmytro TimashovXX100.005438856461949365586254536566626350610
7Tyler GaudetXX100.006938855884898357635853595571665989610
8Jayce HawrylukXXX100.007442905972736958645657635865637789600
9Wade MeganX100.005637885976756759675958595677695189600
10Michael BuntingXX100.005439836072786859585960565867645889590
11Marko DanoXXX100.006145805875766857615856625469657790590
12Kole SherwoodXX100.007338865978796958545657555463625489590
13Gustav ForslingX100.006439816872756266307262715365636847650
14Keegan LoweX100.006339815679939054305752564871766289630
15Austin StrandX100.007238855787857956305653594663626390630
16Julius HonkaX100.005638876468755663306258665767648289620
17Michael PaliottaX100.007239835488807453305351574671666365610
18Kevin DavisX100.006344645470778053305552585573675289600
19Zachary LeslieX100.006344645272778052305351585573665344590
Rayé
1Colton HargroveX100.006837885680949555575354565573675820600
2Mitch CallahanX100.005936905972928858625756585775685719600
3Tye McGinnXX100.007339825587928854565254585477695620600
4Luke GazdicX100.007744685691777155585453595478705520590
5Joseph CramarossaXX100.005944675573918654585551545373675620580
6Ryan BourqueXX100.005038865566918754565352585475685320580
7Cameron HebigXXX100.005037885758928956615654505563626320570
8Cody BassXXX100.006345655475817553545251535280725320560
9Ty LewisX100.005138865657908455585554525361636420560
10Steve OleksyX100.005844695672837755305351594582735220600
11Vincent LoVerdeX100.006137885373939152305250534578705520600
12Ryan CulkinX100.005634805580767255305652564564655120580
MOYENNE D'ÉQUIPE100.00634081587485805751575559547267595760
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 Lyon100.00786866787776787776787773774281740
Rayé
MOYENNE D'ÉQUIPE100.0078686678777678777678777377428174
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'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
1Johan LarssonWolf Pack (NYR)C/LW7126467243130202031932578516310.12%27150521.203121547250033112924462.37%179900000.9614211684
2TJ TynanWolf Pack (NYR)C/RW7123456841240491472115617210.90%19157722.2259145727103382915356.54%108600000.8607000555
3Julius HonkaWolf Pack (NYR)D71113950324610496711428669.65%77160522.628917822410112304100.00%000000.6200101034
4Corey TroppWolf Pack (NYR)LW/RW7122234519591592671543310214.29%6109615.45461026194000012149.12%5700010.8212102414
5Chris TerryWolf Pack (NYR)LW/RW712321443220028581774911512.99%4129018.18336382610001343157.55%10600000.6807000441
6Dmytro TimashovWolf Pack (NYR)LW/RW5017163381204165121299114.05%492018.416410281800000516051.39%14400000.7215000231
7Gustav ForslingWolf Pack (NYR)D3452732936056427129457.04%4979223.304812511300001113110.00%000000.8100000133
8Jayce HawrylukWolf Pack (NYR)C/LW/RW71161531134957365105336815.24%892613.05224103721393164052.57%40900000.6700001131
9Austin StrandWolf Pack (NYR)D713283137715139425519335.45%69162722.92268312450112316000.00%000000.3800100202
10Wade MeganWolf Pack (NYR)C7111172810140328712235879.02%788312.4404413118000090157.35%91200000.6300000201
11Michael BuntingWolf Pack (NYR)LW/RW71914231114019309830629.18%473910.4116717130000002066.67%3900000.6200000112
12Tyler GaudetWolf Pack (NYR)C/LW71715222148049317818618.97%87049.93011517000051152.43%10300000.6200000111
13Kiefer SherwoodNew York RangersC/LW/RW24814229160374464194912.50%545919.1606614930002752054.24%29500000.9613000131
14Marko DanoWolf Pack (NYR)C/LW/RW7191221163925404910320608.74%678211.022136551014592150.86%11600000.5400104110
15Keegan LoweWolf Pack (NYR)D71415193072067264616278.70%39130218.3512328148101190100.00%000000.2900000012
16Kevin DavisWolf Pack (NYR)D6521719228315111294013285.00%30108416.6910117112000048100.00%000000.3500210100
17Kole SherwoodWolf Pack (NYR)C/RW717111814280373560193511.67%25027.0800001000002247.75%22200000.7200000012
18Michael PaliottaWolf Pack (NYR)D4901717284607427174120.00%3881216.58000120112189000.00%000000.4200000011
19Jimmy HayesWolf Pack (NYR)RW571151610300492841123626.83%85219.140000920221743159.09%4400000.6100000131
20Zachary LeslieWolf Pack (NYR)D4046101850106014144928.57%2465116.27000040000146000.00%000000.3100001010
21Mitch CallahanWolf Pack (NYR)RW9011200147140.00%19810.92000000000190055.17%2900000.2000000000
22Ryan CulkinWolf Pack (NYR)D6000-260121030.00%18514.230000000001000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1257218404622423893105130711521956552132811.15%4361997015.894279121471251061016452542401657.53%536100010.624288210334336
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)62411730.9051.9736490912012590220.917246110322
Stats d'équipe Total ou en Moyenne62411730.9051.9736490912012590220.917246110322


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alex LyonWolf Pack (NYR)G261992-12-09No201 Lbs6 ft1NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Austin StrandWolf Pack (NYR)D221997-02-17No216 Lbs6 ft3NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Cameron HebigWolf Pack (NYR)C/LW/RW221997-01-21No184 Lbs5 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Chris TerryWolf Pack (NYR)LW/RW301989-04-07No191 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Cody BassWolf Pack (NYR)C/LW/RW321987-01-07No205 Lbs6 ft0NoNoNo1Pro & Farm300,000$0$0$NoLien
Colton HargroveWolf Pack (NYR)LW271992-06-25No215 Lbs6 ft1NoNoNo1Pro & Farm300,000$0$0$NoLien
Corey TroppWolf Pack (NYR)LW/RW291989-07-25No186 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Dmytro TimashovWolf Pack (NYR)LW/RW221996-10-01No195 Lbs5 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Gustav ForslingWolf Pack (NYR)D231996-06-12No186 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jayce HawrylukWolf Pack (NYR)C/LW/RW231996-01-01No196 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jimmy HayesWolf Pack (NYR)RW291989-11-21No215 Lbs6 ft5NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Johan LarssonWolf Pack (NYR)C/LW261992-07-25No202 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Joseph CramarossaWolf Pack (NYR)C/LW261992-10-26No192 Lbs6 ft0NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Julius HonkaWolf Pack (NYR)D231995-12-03No180 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$NoLien
Keegan LoweWolf Pack (NYR)D261993-03-29No191 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Kevin DavisWolf Pack (NYR)D221997-03-14No172 Lbs5 ft11NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Kole SherwoodWolf Pack (NYR)C/RW221997-01-22No202 Lbs6 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Luke GazdicWolf Pack (NYR)LW291989-07-25No225 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
Marko DanoWolf Pack (NYR)C/LW/RW241994-11-30No212 Lbs5 ft11NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Michael BuntingWolf Pack (NYR)LW/RW231995-09-17No197 Lbs5 ft11NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Michael PaliottaWolf Pack (NYR)D261993-04-06No207 Lbs6 ft4NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Mitch CallahanWolf Pack (NYR)RW271991-08-17No198 Lbs5 ft11NoNoNo1Pro & Farm300,000$0$0$NoLien
Ryan BourqueWolf Pack (NYR)C/LW281991-01-03No185 Lbs5 ft9NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Ryan CulkinWolf Pack (NYR)D251993-12-15No200 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$NoLien
Steve OleksyWolf Pack (NYR)D331986-02-04No188 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
TJ TynanWolf Pack (NYR)C/RW271992-02-25No165 Lbs5 ft8NoNoNo1Pro & Farm500,000$0$0$NoLien
Ty LewisWolf Pack (NYR)RW211998-03-05No180 Lbs5 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Tye McGinnWolf Pack (NYR)LW/RW281990-07-29No218 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Tyler GaudetWolf Pack (NYR)C/LW261993-04-04No205 Lbs6 ft3NoNoNo1Pro & Farm300,000$0$0$NoLien
Vincent LoVerdeWolf Pack (NYR)D301989-04-14No205 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Wade MeganWolf Pack (NYR)C281990-07-22No191 Lbs6 ft1NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Zachary LeslieWolf Pack (NYR)D251994-01-31No195 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3225.94197 Lbs5 ft112.28387,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Corey TroppJohan LarssonTJ Tynan40023
2Dmytro TimashovWade MeganChris Terry32032
3Marko DanoJayce HawrylukMichael Bunting22032
4Tyler GaudetKole SherwoodJimmy Hayes6032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav ForslingKeegan Lowe40032
2Julius HonkaAustin Strand40032
3Kevin DavisMichael Paliotta20041
4Julius HonkaGustav Forsling0113
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris TerryJohan LarssonCorey Tropp65014
2Jayce HawrylukWade MeganDmytro Timashov35014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav ForslingTJ Tynan65014
2Julius HonkaMichael Bunting35014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Johan LarssonJayce Hawryluk55041
2TJ TynanJimmy Hayes45041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav ForslingJulius Honka60140
2Michael PaliottaAustin Strand40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Johan Larsson60050Gustav ForslingJulius Honka60140
2TJ Tynan40050Michael PaliottaAustin Strand40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Johan LarssonKole Sherwood55032
2TJ TynanChris Terry45032
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav ForslingKeegan Lowe55023
2Julius HonkaAustin Strand45032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris TerryJohan LarssonDmytro TimashovGustav ForslingTJ Tynan
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
TJ TynanJohan LarssonJayce HawrylukJulius HonkaGustav Forsling
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
TJ Tynan, Chris Terry, Marko DanoTJ Tynan, Dmytro TimashovChris Terry
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gustav Forsling, Julius Honka, Austin StrandKeegan LoweGustav Forsling, Zachary Leslie
Tirs de Pénalité
TJ Tynan, Chris Terry, Dmytro Timashov, Johan Larsson, Corey Tropp
Gardien
#1 : Alex Lyon, #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
1Americans40200011812-4201000105502010000137-430.3758132100886175711266960671844942641601915.26%16475.00%01319228257.80%1135197657.44%619102760.27%193113881512490858449
2Bears430010001394210010007522200000064281.0001324370088617571156696067184410329598216212.50%24387.50%11319228257.80%1135197657.44%619102760.27%193113881512490858449
3Bruins1045000012532-752300000916-7522000011616090.45025467101886175722066960671844233681292014037.50%601083.33%21319228257.80%1135197657.44%619102760.27%193113881512490858449
4Checkers880000005775044000000286224400000029128161.0005710015704886175737266960671844133418416834617.65%34197.06%11319228257.80%1135197657.44%619102760.27%193113881512490858449
5Comets311010001082100010002112110000087140.66710182810886175794669606718446918344723313.04%16475.00%01319228257.80%1135197657.44%619102760.27%193113881512490858449
6Crunch211000006601010000024-21100000042220.500611171088617575066960671844601333439111.11%13376.92%01319228257.80%1135197657.44%619102760.27%193113881512490858449
7Devils32000001853110000004132100000144050.8338132100886175758669606718446916444517211.76%20385.00%01319228257.80%1135197657.44%619102760.27%193113881512490858449
8Marlies2200000016214110000008081100000082641.0001629450188617571106696067184424712466233.33%50100.00%01319228257.80%1135197657.44%619102760.27%193113881512490858449
9Penguins6320001015114311000106603210000095480.66715264102886175713366960671844120307110235514.29%29196.55%01319228257.80%1135197657.44%619102760.27%193113881512490858449
10Phantoms52200100101003110010067-12110000043150.500101929018861757141669606718449339778525312.00%28678.57%01319228257.80%1135197657.44%619102760.27%193113881512490858449
11Rocket21100000651110000004221010000023-120.500610160088617573666960671844431433358112.50%14564.29%01319228257.80%1135197657.44%619102760.27%193113881512490858449
12Senators21000010624100000102111100000041341.00068140088617574966960671844395283112216.67%13192.31%01319228257.80%1135197657.44%619102760.27%193113881512490858449
13Sound Tigers1045010001719-25220100098152300000811-3100.50017324911886175724766960671844185571171953438.82%48491.67%11319228257.80%1135197657.44%619102760.27%193113881512490858449
14Thunderbirds106300010342113531000102010105320000014113140.700346094008861757272669606718442237116019931722.58%61788.52%11319228257.80%1135197657.44%619102760.27%193113881512490858449
Total7138220314323114982351710031401127240362112000031197742940.6622314096403108861757200966960671844148843492213393094113.27%3815286.35%61319228257.80%1135197657.44%619102760.27%193113881512490858449
_Since Last GM Reset7138220314323114982351710031401127240362112000031197742940.6622314096403108861757200966960671844148843492213393094113.27%3815286.35%61319228257.80%1135197657.44%619102760.27%193113881512490858449
_Vs Conference422015021221009462188021204548-3211270000255469510.6071001792792588617571013669606718449022575587841882111.17%2353186.81%41319228257.80%1135197657.44%619102760.27%193113881512490858449
_Vs Division328701101101802116430110050381216440000151429200.313101177278128861757849669606718447162044366151251713.60%1823083.52%31319228257.80%1135197657.44%619102760.27%193113881512490858449

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7194W1231409640200914884349221339310
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7138223143231149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
351710314011272
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
362112000311977
Derniers 10 Matchs
WLOTWOTL SOWSOL
810010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3094113.27%3815286.35%6
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
669606718448861757
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
1319228257.80%1135197657.44%619102760.27%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
193113881512490858449


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 - 2019-09-044Bruins4Wolf Pack1LSommaire du Match
5 - 2019-09-0624Rocket2Wolf Pack4WSommaire du Match
8 - 2019-09-0929Wolf Pack1Devils2LXXSommaire du Match
10 - 2019-09-1136Bruins1Wolf Pack2WSommaire du Match
11 - 2019-09-1251Wolf Pack3Bruins4LSommaire du Match
15 - 2019-09-1667Wolf Pack2Rocket3LSommaire du Match
17 - 2019-09-1871Wolf Pack4Senators1WSommaire du Match
18 - 2019-09-1983Wolf Pack8Marlies2WSommaire du Match
22 - 2019-09-23103Phantoms0Wolf Pack1WSommaire du Match
25 - 2019-09-26126Sound Tigers2Wolf Pack0LSommaire du Match
26 - 2019-09-27132Wolf Pack1Thunderbirds2LSommaire du Match
31 - 2019-10-02143Wolf Pack1Penguins3LSommaire du Match
32 - 2019-10-03161Wolf Pack3Penguins0WSommaire du Match
33 - 2019-10-04168Wolf Pack3Bears2WSommaire du Match
38 - 2019-10-09181Wolf Pack2Comets4LSommaire du Match
39 - 2019-10-10193Penguins0Wolf Pack2WSommaire du Match
43 - 2019-10-14215Sound Tigers1Wolf Pack2WXSommaire du Match
46 - 2019-10-17237Comets1Wolf Pack2WXSommaire du Match
47 - 2019-10-18249Americans2Wolf Pack3WXXSommaire du Match
50 - 2019-10-21257Bruins4Wolf Pack2LSommaire du Match
52 - 2019-10-23264Wolf Pack1Sound Tigers3LSommaire du Match
53 - 2019-10-24285Sound Tigers1Wolf Pack3WSommaire du Match
60 - 2019-10-31321Checkers2Wolf Pack7WSommaire du Match
64 - 2019-11-04340Wolf Pack2Sound Tigers0WSommaire du Match
66 - 2019-11-06355Checkers0Wolf Pack9WSommaire du Match
67 - 2019-11-07364Wolf Pack3Bears2WSommaire du Match
72 - 2019-11-12390Wolf Pack8Checkers0WSommaire du Match
74 - 2019-11-14402Wolf Pack8Checkers1WSommaire du Match
78 - 2019-11-18424Bruins6Wolf Pack2LSommaire du Match
80 - 2019-11-20437Wolf Pack2Americans3LXXSommaire du Match
81 - 2019-11-21453Wolf Pack1Americans4LSommaire du Match
86 - 2019-11-26471Wolf Pack3Sound Tigers2WSommaire du Match
88 - 2019-11-28487Sound Tigers2Wolf Pack1LSommaire du Match
89 - 2019-11-29499Thunderbirds2Wolf Pack3WSommaire du Match
94 - 2019-12-04523Thunderbirds3Wolf Pack4WXXSommaire du Match
95 - 2019-12-05533Phantoms4Wolf Pack3LSommaire du Match
96 - 2019-12-06546Wolf Pack3Bruins1WSommaire du Match
101 - 2019-12-11565Wolf Pack4Bruins5LXXSommaire du Match
102 - 2019-12-12576Wolf Pack1Sound Tigers3LSommaire du Match
108 - 2019-12-18609Phantoms3Wolf Pack2LXSommaire du Match
109 - 2019-12-19619Thunderbirds2Wolf Pack1LSommaire du Match
110 - 2019-12-20634Wolf Pack4Bruins0WSommaire du Match
113 - 2019-12-23646Thunderbirds1Wolf Pack4WSommaire du Match
115 - 2019-12-25659Wolf Pack3Devils2WSommaire du Match
116 - 2019-12-26670Checkers2Wolf Pack5WSommaire du Match
122 - 2020-01-01687Wolf Pack8Thunderbirds3WSommaire du Match
123 - 2020-01-02701Americans3Wolf Pack2LSommaire du Match
126 - 2020-01-05712Sound Tigers2Wolf Pack3WSommaire du Match
129 - 2020-01-08726Crunch4Wolf Pack2LSommaire du Match
130 - 2020-01-09745Wolf Pack1Phantoms2LSommaire du Match
131 - 2020-01-10751Wolf Pack3Phantoms1WSommaire du Match
134 - 2020-01-13763Marlies0Wolf Pack8WSommaire du Match
137 - 2020-01-16780Wolf Pack1Sound Tigers3LSommaire du Match
138 - 2020-01-17793Penguins3Wolf Pack4WXXSommaire du Match
143 - 2020-01-22824Thunderbirds2Wolf Pack8WSommaire du Match
144 - 2020-01-23830Bruins1Wolf Pack2WSommaire du Match
145 - 2020-01-24842Wolf Pack2Bruins6LSommaire du Match
148 - 2020-01-27851Bears2Wolf Pack3WXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29862Wolf Pack2Thunderbirds1WSommaire du Match
151 - 2020-01-30876Penguins3Wolf Pack0LSommaire du Match
157 - 2020-02-05903Wolf Pack5Penguins2WSommaire du Match
158 - 2020-02-06914Wolf Pack1Thunderbirds4LSommaire du Match
159 - 2020-02-07923Bears3Wolf Pack4WSommaire du Match
162 - 2020-02-10936Devils1Wolf Pack4WSommaire du Match
164 - 2020-02-12943Wolf Pack4Crunch2WSommaire du Match
165 - 2020-02-13957Wolf Pack6Comets3WSommaire du Match
172 - 2020-02-20995Wolf Pack6Checkers0WSommaire du Match
173 - 2020-02-211008Wolf Pack7Checkers0WSommaire du Match
178 - 2020-02-261033Checkers2Wolf Pack7WSommaire du Match
179 - 2020-02-271042Senators1Wolf Pack2WXXSommaire du Match
183 - 2020-03-021065Wolf Pack2Thunderbirds1WSommaire du Match
186 - 2020-03-051088Comets-Wolf Pack-
187 - 2020-03-061098Devils-Wolf Pack-
192 - 2020-03-111122Bears-Wolf Pack-
193 - 2020-03-121133Wolf Pack-Phantoms-
194 - 2020-03-131146Wolf Pack-Bears-



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
3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
7,666,714$ 124,000$ 37,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 120,275$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 11 41,876$ 460,636$




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
147138220314323114982351710031401127240362112000031197742942314096403108861757200966960671844148843492213393094113.27%3815286.35%61319228257.80%1135197657.44%619102760.27%193113881512490858449
Total Saison Régulière7138220314323114982351710031401127240362112000031197742942314096403108861757200966960671844148843492213393094113.27%3815286.35%61319228257.80%1135197657.44%619102760.27%193113881512490858449