Wolf Pack

GP: 27 | W: 17 | L: 9 | OTL: 1 | P: 35
GF: 80 | GA: 48 | PP%: 12.80% | PK%: 87.60%
DG: Steve Lechasseur | Morale : 62 | Moyenne d'Équipe : 61
Prochain matchs #402 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)XX100.008145776473778663796258776173675969650
2TJ Tynan (A)XX100.005436906461949263756659656273705668640
3Chris Terry (C)XX100.005437876469939163686162586378705568630
4Sonny MilanoXX100.005637926873707266526369587265638366630
5Corey TroppXX100.005745656272908561645960576178705173620
6Jimmy HayesX100.007636905792949356585555615678705449620
7Tyler GaudetXX100.006938855884898357635853595571665968610
8Jayce HawrylukXXX100.007442905972736958645657635865637768600
9Wade MeganX100.005637885976756759675958595677695168600
10Michael BuntingXX100.005439836072786859585960565867645868590
11Marko DanoXXX100.006145805875766857615856625469657768590
12Kole SherwoodXX100.007338865978796958545657555463625468590
13Keegan LoweX100.006339815679939054305752564871766268620
14Austin StrandX100.007238855787857956305653594663626371620
15Julius HonkaX100.005638876468755663306258665767648270620
16Michael PaliottaX100.007239835488807453305351574671666336610
17Kevin DavisX100.006344645470778053305552585573675264590
18Zachary LeslieX100.006344645272778052305351585573665326590
Rayé
1Colton HargroveX100.006837885680949555575354565573675823600
2Mitch CallahanX100.005936905972928858625756585775685729600
3Tye McGinnXX100.007339825587928854565254585477695623600
4Luke GazdicX100.007744685691777155585453595478705523590
5Joseph CramarossaXX100.005944675573918654585551545373675623580
6Ryan BourqueXX100.005038865566918754565352585475685323580
7Cameron HebigXXX100.005037885758928956615654505563626323570
8Cody BassXXX100.006345655475817553545251535280725323560
9Ty LewisX100.005138865657908455585554525361636423560
10Steve OleksyX100.005844695672837755305351594582735223600
11Vincent LoVerdeX100.006137885373939152305250534578705523600
12Ryan CulkinX100.005634805580767255305652564564655127580
MOYENNE D'ÉQUIPE100.00634081587584805752575558557267594760
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 Lyon100.00786866787776787776787773774258740
2Ukko-Pekka Luukkonen (R)100.00746462867372747372747360637863700
Rayé
MOYENNE D'ÉQUIPE100.0076666482757476757476756770606172
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
1TJ TynanWolf Pack (NYR)C/RW27716231716024467512669.33%659221.93123191120112971257.67%40400000.7802000321
2Sonny MilanoWolf Pack (NYR)LW/RW18138211420172163164220.63%034619.252241473000184054.84%3100011.2101000401
3Johan LarssonWolf Pack (NYR)C/LW278132113571568659228598.70%1255520.5615613970113991363.82%65500000.7612111112
4Julius HonkaWolf Pack (NYR)D276121810135182550141612.00%3157821.4143734910001102100.00%000000.6200100012
5Chris TerryWolf Pack (NYR)LW/RW277916120082257154212.28%049018.1802213990001160154.76%4200000.6502000110
6Wade MeganWolf Pack (NYR)C2757122407284572311.11%12649.7800027000070061.42%25400000.9100000200
7Corey TroppWolf Pack (NYR)LW/RW2757126291516225217359.62%337113.77213647000000045.45%2200000.6501102000
8Austin StrandWolf Pack (NYR)D27111121223556211710135.88%2859722.13044101000000106000.00%000000.4000100001
9Tyler GaudetWolf Pack (NYR)C/LW273912131802314349208.82%331511.68011517000051146.27%6700000.7600000011
10Michael BuntingWolf Pack (NYR)LW/RW27549440121036133013.89%238014.10112584000002065.00%2000000.4700000011
11Marko DanoWolf Pack (NYR)C/LW/RW2752788016263182916.13%335313.112134431013421061.70%4700000.4000000100
12Kevin DavisWolf Pack (NYR)D21066143610371664100.00%1132115.2900021600007000.00%000000.3700110000
13Jayce HawrylukWolf Pack (NYR)C/LW/RW27235012019194210114.76%032912.210002410161091044.90%9800000.3000000010
14Kole SherwoodWolf Pack (NYR)C/RW2732511001562071015.00%21897.0300000000002042.86%2100000.5300000010
15Keegan LoweWolf Pack (NYR)D271349160241064716.67%1844216.37101323000030100.00%000000.1800000012
16Michael PaliottaWolf Pack (NYR)D5011620720130.00%38517.0400000000014000.00%000000.2300000000
17Jimmy HayesWolf Pack (NYR)RW1310104018813867.69%11269.7500009000090050.00%1400000.1600000000
18Mitch CallahanWolf Pack (NYR)RW8000000136140.00%19211.56000000000190055.17%2900000.0000000000
19Ryan CulkinWolf Pack (NYR)D6000-260121030.00%18514.230000000001000.00%000000.0000000000
20Zachary LeslieWolf Pack (NYR)D1000100000000.00%11515.870000000001000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne423721131851402605038736664618442911.15%127653415.451422361328332241768215759.04%170400010.5718523121011
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)1813400.9261.42101805243260111.00051710211
2Ukko-Pekka LuukkonenWolf Pack (NYR)124510.9012.0661301212130010.75041017002
Stats d'équipe Total ou en Moyenne3017910.9171.65163206455390120.88992727213


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
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
Sonny MilanoWolf Pack (NYR)LW/RW231996-05-12No195 Lbs6 ft0NoNoNo4Avec 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
3225.88197 Lbs6 ft02.41387,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tyler GaudetTJ TynanSonny Milano40113
2Chris TerryJohan LarssonCorey Tropp35122
3Michael BuntingWade MeganKole Sherwood15122
4Jayce HawrylukMarko DanoJimmy Hayes10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Julius HonkaKevin Davis40122
2Keegan LoweAustin Strand35131
3Zachary LeslieMichael Paliotta20131
4Julius HonkaAustin Strand5014
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sonny MilanoTJ TynanChris Terry60014
2Corey TroppJohan LarssonMichael Bunting40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Julius HonkaAustin Strand60014
2Kevin DavisKeegan Lowe40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Johan LarssonJayce Hawryluk50140
2TJ TynanMarko Dano50140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Julius HonkaMichael Paliotta60140
2Austin StrandZachary Leslie40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Johan Larsson60050Julius HonkaMichael Paliotta60140
2TJ Tynan40050Zachary LeslieAustin Strand40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1TJ TynanSonny Milano60023
2Johan LarssonChris Terry40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Julius HonkaKevin Davis60122
2Keegan LoweAustin Strand40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sonny MilanoJohan LarssonTJ TynanJulius HonkaAustin Strand
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
TJ TynanJohan LarssonJayce HawrylukJulius HonkaAustin Strand
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sonny Milano, Chris Terry, Wade MeganJohan Larsson, Sonny MilanoJimmy Hayes
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Julius Honka, Austin Strand, Keegan LoweKeegan LoweJulius Honka, Austin Strand
Tirs de Pénalité
TJ Tynan, Chris Terry, Sonny Milano, Johan Larsson, Corey Tropp
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
1Americans10000010321100000103210000000000021.00034700312224324238248256152691113400.00%20100.00%051586859.33%42073557.14%22036061.11%743533564187328174
2Bears22000000642000000000002200000064241.000611170031222435323824825615471827378225.00%90100.00%051586859.33%42073557.14%22036061.11%743533564187328174
3Bruins41300000813-53120000059-41010000034-120.250815230031222438023824825615913665781417.14%30583.33%151586859.33%42073557.14%22036061.11%743533564187328174
4Checkers330000002422222000000162141100000080861.000244064023122243150238248256156114276513323.08%110100.00%151586859.33%42073557.14%22036061.11%743533564187328174
5Comets2010100045-1100010002111010000024-220.50047111031222435223824825615471022341500.00%11372.73%051586859.33%42073557.14%22036061.11%743533564187328174
6Devils1000000112-1000000000001000000112-110.5001230031222432223824825615191813700.00%4175.00%051586859.33%42073557.14%22036061.11%743533564187328174
7Marlies11000000826000000000001100000082621.00081422003122243552382482561592622400.00%20100.00%051586859.33%42073557.14%22036061.11%743533564187328174
8Penguins32100000633110000002022110000043140.6676111702312224371238248256154818385320315.00%140100.00%051586859.33%42073557.14%22036061.11%743533564187328174
9Phantoms11000000101110000001010000000000021.000123013122243232382482561513513165120.00%30100.00%051586859.33%42073557.14%22036061.11%743533564187328174
10Rocket21100000651110000004221010000023-120.500610160031222433623824825615431433358112.50%14564.29%051586859.33%42073557.14%22036061.11%743533564187328174
11Senators11000000413000000000001100000041321.0004610003122243252382482561519112124250.00%60100.00%051586859.33%42073557.14%22036061.11%743533564187328174
12Sound Tigers52201000871311010005412110000033060.60081422113122243134238248256159529498920210.00%16193.75%051586859.33%42073557.14%22036061.11%743533564187328174
13Thunderbirds1010000012-1000000000001010000012-100.000123003122243232382482561523914213133.33%7185.71%051586859.33%42073557.14%22036061.11%743533564187328174
Total2714902011804832137302010382018147600001422814350.64880138218263122243748238248256155411663254881251612.80%1291687.60%251586859.33%42073557.14%22036061.11%743533564187328174
_Since Last GM Reset2714902011804832137302010382018147600001422814350.64880138218263122243748238248256155411663254881251612.80%1291687.60%251586859.33%42073557.14%22036061.11%743533564187328174
_Vs Conference1796010013430484301000131309530000121174210.61834619514312224340823824825615332108212298781114.10%82791.46%151586859.33%42073557.14%22036061.11%743533564187328174
_Vs Division10320100130255521010001213-1511000011812690.450305181003122243243238248256152117114118137513.51%611181.97%151586859.33%42073557.14%22036061.11%743533564187328174

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2735W68013821874854116632548826
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2714920118048
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
137320103820
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
147600014228
Derniers 10 Matchs
WLOTWOTL SOWSOL
621010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1251612.80%1291687.60%2
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
238248256153122243
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
51586859.33%42073557.14%22036061.11%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
743533564187328174


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 Pack-Checkers-
78 - 2019-11-18424Bruins-Wolf Pack-
80 - 2019-11-20437Wolf Pack-Americans-
81 - 2019-11-21453Wolf Pack-Americans-
86 - 2019-11-26471Wolf Pack-Sound Tigers-
88 - 2019-11-28487Sound Tigers-Wolf Pack-
89 - 2019-11-29499Thunderbirds-Wolf Pack-
94 - 2019-12-04523Thunderbirds-Wolf Pack-
95 - 2019-12-05533Phantoms-Wolf Pack-
96 - 2019-12-06546Wolf Pack-Bruins-
101 - 2019-12-11565Wolf Pack-Bruins-
102 - 2019-12-12576Wolf Pack-Sound Tigers-
108 - 2019-12-18609Phantoms-Wolf Pack-
109 - 2019-12-19619Thunderbirds-Wolf Pack-
110 - 2019-12-20634Wolf Pack-Bruins-
113 - 2019-12-23646Thunderbirds-Wolf Pack-
115 - 2019-12-25659Wolf Pack-Devils-
116 - 2019-12-26670Checkers-Wolf Pack-
122 - 2020-01-01687Wolf Pack-Thunderbirds-
123 - 2020-01-02701Americans-Wolf Pack-
126 - 2020-01-05712Sound Tigers-Wolf Pack-
129 - 2020-01-08726Crunch-Wolf Pack-
130 - 2020-01-09745Wolf Pack-Phantoms-
131 - 2020-01-10751Wolf Pack-Phantoms-
134 - 2020-01-13763Marlies-Wolf Pack-
137 - 2020-01-16780Wolf Pack-Sound Tigers-
138 - 2020-01-17793Penguins-Wolf Pack-
143 - 2020-01-22824Thunderbirds-Wolf Pack-
144 - 2020-01-23830Bruins-Wolf Pack-
145 - 2020-01-24842Wolf Pack-Bruins-
148 - 2020-01-27851Bears-Wolf Pack-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29862Wolf Pack-Thunderbirds-
151 - 2020-01-30876Penguins-Wolf Pack-
157 - 2020-02-05903Wolf Pack-Penguins-
158 - 2020-02-06914Wolf Pack-Thunderbirds-
159 - 2020-02-07923Bears-Wolf Pack-
162 - 2020-02-10936Devils-Wolf Pack-
164 - 2020-02-12943Wolf Pack-Crunch-
165 - 2020-02-13957Wolf Pack-Comets-
172 - 2020-02-20995Wolf Pack-Checkers-
173 - 2020-02-211008Wolf Pack-Checkers-
178 - 2020-02-261033Checkers-Wolf Pack-
179 - 2020-02-271042Senators-Wolf Pack-
183 - 2020-03-021065Wolf Pack-Thunderbirds-
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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,061,997$ 124,000$ 37,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 51,686$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 121 41,876$ 5,066,996$




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
1427149020118048321373020103820181476000014228143580138218263122243748238248256155411663254881251612.80%1291687.60%251586859.33%42073557.14%22036061.11%743533564187328174
Total Saison Régulière27149020118048321373020103820181476000014228143580138218263122243748238248256155411663254881251612.80%1291687.60%251586859.33%42073557.14%22036061.11%743533564187328174