Lumberjacks

GP: 8 | W: 5 | L: 1 | OTL: 2 | P: 12
GF: 27 | GA: 19 | PP%: 19.44% | PK%: 90.00%
DG: Kevin | Morale : 51 | Moyenne d'Équipe : 65
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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 SPÂgeContratSalaire
1Jimmy VeseyXX100.007657918076629866376370796373740537003121,000,005$
2Kirby DachXX98.007355798481798146537572668088890517002313,362,500$
3Zach PariseX98.00694291806963736740637076729298053700401750,000$
4David KampfX100.00764392767065976587625984757273053690291925,000$
5Egor AfanasyevXX99.00797687707678816780626868654545053680232789,167$
6Martin PospisilX100.009978557570636365427064632551510486702433,801,000$
7Valtteri PuustinenXX100.00714295786259907431745965254949053670253775,000$
8Michael CarconeX99.00715286776159906634607963255656053670282650,000$
9Noel AcciariXX100.008845937471638366915558912568720536703231,250,000$
10Adam KlapkaXX100.00869663679677816379596370604444048660243915,000$
11Linus KarlssonX100.00726686666679836750656564624444053650243883,750$
12Elmer Soderblom (R)XX100.00949395609366685873535873554545042620232878,333$
13Mike ReillyX100.007143858174717074256450652567680537003121,000,000$
14Jonas SiegenthalerX100.008045897877788662255147842567680536902721,125,000$
15Marc-edouard VlasicX100.00674386797569856525495187469292053690373925,000$
16Nikita ZaitsevX100.008345888072686265255048732569690506703231,100,001$
17Travis HamonicX100.00764477797665796225474880257979050670343850,000$
18Christian WolaninX100.00757085657067705725544267406060042620292650,000$
Rayé
1Michael EyssimontXX100.00829165757261896839636666255960055660282750,000$
2Tanner Laczynski (R)XX100.007671876571616066806364666146460466502721,497,500$
3Alex SteevesX100.00736787666779836650626664634444046650242750,000$
4Olle LycksellX100.00594089656055746637675757254646042600252750,000$
5Lukas RousekX100.00614099706357846126615561254545042600252750,000$
6Taylor HallX100.008275998875545747503844734279810425903226,000,000$
7Ville HeinolaX100.00696482706463655825475461514747051600233863,333$
8Jack Rathbone (R)X100.00756989656969745025404561434545042570253850,000$
MOYENNE D'ÉQUIPE99.7776608574726778634558597044606104966
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
1James Reimer99.0064646583656275657364787172053670
2Jonas Johansson100.0062575684655869636562755151053620
Rayé
1Jaxson Stauber100.0052465870545553585756304444042540
2Magnus Chrona100.0049526585484950554949304444048520
MOYENNE D'ÉQUIPE99.755755618158566260615853535304959
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Essensa40404040404040TUR802500,000$


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
1Zach PariseLumberjacks (GKV)LW8448200392272418.18%215319.130224270000232038.10%2100001.0500000020
2Jonas SiegenthalerLumberjacks (GKV)D835811601313175817.65%717521.963031026000128000.00%000000.9100000010
3Marc-edouard VlasicLumberjacks (GKV)D83586804172671711.54%815619.621011428000012100.00%000001.0200000102
4Mike ReillyLumberjacks (GKV)D8167210010814337.14%717421.761231128000014010.00%000000.8000000000
5Jimmy VeseyLumberjacks (GKV)LW/RW84263608152652315.38%114918.641125260000170257.69%2600000.8001000110
6David KampfLumberjacks (GKV)C82465206232310258.70%115118.881231270000120065.28%19300000.7900000100
7Noel AcciariLumberjacks (GKV)C/RW81451401110223184.55%011113.9800036000010065.38%2600000.8900000100
8Egor AfanasyevLumberjacks (GKV)C/LW82243401814227229.09%015919.880005210003271056.45%6200000.5000000011
9Kirby DachLumberjacks (GKV)C/RW7033-14010961110.00%215822.600224230001180053.63%17900000.3801000001
10Valtteri PuustinenLumberjacks (GKV)LW/RW8123240217165126.25%012115.18011060001170030.00%1000000.4900000000
11Michael CarconeLumberjacks (GKV)RW8112520281510126.67%213316.72011727000000050.00%1000000.3000000000
12Travis HamonicLumberjacks (GKV)D811211009561516.67%813016.3400002000023000.00%000000.3100000001
13Michael EyssimontLumberjacks (GKV)C/RW70221201244450.00%2517.3800000000000043.90%4100000.7700000000
14Linus KarlssonLumberjacks (GKV)RW81010002263616.67%1617.670000000000100.00%300000.3300000000
15Nikita ZaitsevLumberjacks (GKV)D8000-2401035220.00%613116.5000016000025000.00%000000.0000000000
16Ville HeinolaLumberjacks (GKV)D6000100410000.00%1406.770000000009000.00%000000.0000000000
17Tanner LaczynskiLumberjacks (GKV)C/RW1000000000000.00%000.570000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne125244165307601241582307319310.43%48206116.49711186526000062325356.57%57100000.6302000455
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
1James ReimerLumberjacks (GKV)85120.9212.2148921182280100.333380200
Stats d'équipe Total ou en Moyenne85120.9212.2148921182280100.333380200


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam KlapkaLumberjacks (GKV)C/RW242000-09-14No244 Lbs6 ft8NoNoNo3Pro & Farm915,000$915,000$0$0$No915,000$915,000$Lien
Alex SteevesLumberjacks (GKV)RW241999-12-10No185 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Christian WolaninLumberjacks (GKV)D291995-03-17No185 Lbs6 ft2NoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien / Lien NHL
David KampfLumberjacks (GKV)C291995-01-12No189 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Egor AfanasyevLumberjacks (GKV)C/LW232001-01-23No205 Lbs6 ft2NoNoNo2Pro & Farm789,167$789,167$0$0$No789,167$Lien
Elmer SoderblomLumberjacks (GKV)C/LW232001-05-07Yes246 Lbs6 ft8NoNoNo2Pro & Farm878,333$878,333$0$0$No878,333$Lien
Jack RathboneLumberjacks (GKV)D251999-05-20Yes190 Lbs5 ft11NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$Lien
James ReimerLumberjacks (GKV)G361988-03-15No220 Lbs6 ft2NoNoNo3Pro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$Lien / Lien NHL
Jaxson StauberLumberjacks (GKV)G251999-04-27No175 Lbs6 ft3NoNoNo3Pro & Farm685,125$685,125$0$0$No685,125$685,125$Lien
Jimmy VeseyLumberjacks (GKV)LW/RW311993-05-26No202 Lbs6 ft3NoNoNo2Pro & Farm1,000,005$1,000,005$0$0$No1,000,005$Lien / Lien NHL
Jonas JohanssonLumberjacks (GKV)G291995-09-18No205 Lbs6 ft4NoNoNo3Pro & Farm3,750,000$3,750,000$0$0$No3,750,000$3,750,000$Lien / Lien NHL
Jonas SiegenthalerLumberjacks (GKV)D271997-05-06No209 Lbs6 ft3NoNoNo2Pro & Farm1,125,000$1,125,000$0$0$No1,125,000$Lien / Lien NHL
Kirby DachLumberjacks (GKV)C/RW232001-01-21No218 Lbs6 ft4NoNoNo1Pro & Farm3,362,500$3,362,500$0$0$NoLien / Lien NHL
Linus KarlssonLumberjacks (GKV)RW241999-11-16No178 Lbs6 ft1NoNoNo3Pro & Farm883,750$883,750$0$0$No883,750$883,750$Lien
Lukas RousekLumberjacks (GKV)RW251999-04-20No174 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Magnus ChronaLumberjacks (GKV)G242000-08-28No209 Lbs6 ft4NoNoNo3Pro & Farm1,010,000$1,010,000$0$0$No1,010,000$1,010,000$Lien
Marc-edouard VlasicLumberjacks (GKV)D371987-03-30No205 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien / Lien NHL
Martin PospisilLumberjacks (GKV)RW241999-11-19No180 Lbs6 ft2NoNoNo3Pro & Farm3,801,000$3,801,000$0$0$No3,801,000$3,801,000$Lien
Michael CarconeLumberjacks (GKV)RW281996-05-19No169 Lbs5 ft10NoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Lien / Lien NHL
Michael EyssimontLumberjacks (GKV)C/RW281996-09-09No191 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Mike ReillyLumberjacks (GKV)D311993-07-13No200 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Nikita ZaitsevLumberjacks (GKV)D321991-10-29No194 Lbs6 ft2NoNoNo3Pro & Farm1,100,001$1,100,001$0$0$No1,100,001$1,100,001$Lien / Lien NHL
Noel AcciariLumberjacks (GKV)C/RW321991-12-01No202 Lbs5 ft10NoNoNo3Pro & Farm1,250,000$1,250,000$0$0$No1,250,000$1,250,000$Lien / Lien NHL
Olle LycksellLumberjacks (GKV)RW251999-08-24No165 Lbs5 ft10NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Tanner LaczynskiLumberjacks (GKV)C/RW271997-06-01Yes190 Lbs6 ft1NoNoNo2Pro & Farm1,497,500$1,497,500$0$0$No1,497,500$Lien
Taylor HallLumberjacks (GKV)LW321991-11-13No205 Lbs6 ft1NoNoNo2Pro & Farm6,000,000$6,000,000$0$0$No6,000,000$Lien / Lien NHL
Travis HamonicLumberjacks (GKV)D341990-08-16No205 Lbs6 ft2NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$Lien / Lien NHL
Valtteri PuustinenLumberjacks (GKV)LW/RW251999-06-04No178 Lbs5 ft9NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien
Ville HeinolaLumberjacks (GKV)D232001-03-02No178 Lbs5 ft11NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$Lien / Lien NHL
Zach PariseLumberjacks (GKV)LW401984-07-28No194 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3027.97196 Lbs6 ft12.371,359,524$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jimmy VeseyDavid KampfKirby Dach28023
2Zach PariseNoel AcciariMartin Pospisil28023
3Valtteri PuustinenEgor AfanasyevMichael Carcone26032
4Elmer SoderblomAdam KlapkaLinus Karlsson18032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike ReillyJonas Siegenthaler33032
2Marc-edouard VlasicNikita Zaitsev33032
3Travis HamonicChristian Wolanin33032
4Mike ReillyJonas Siegenthaler1032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jimmy VeseyKirby DachMartin Pospisil60023
2Zach PariseEgor AfanasyevMichael Carcone40023
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike ReillyChristian Wolanin60023
2Marc-edouard VlasicNikita Zaitsev40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1David KampfJimmy Vesey54041
2Noel AcciariZach Parise46041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis HamonicJonas Siegenthaler52032
2Marc-edouard VlasicNikita Zaitsev48041
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1David Kampf53041Mike ReillyJonas Siegenthaler60122
2Noel Acciari47041Marc-edouard VlasicNikita Zaitsev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Egor AfanasyevValtteri Puustinen60122
2Noel AcciariZach Parise40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike ReillyJonas Siegenthaler60122
2Marc-edouard VlasicNikita Zaitsev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael CarconeDavid KampfKirby DachMike ReillyChristian Wolanin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jimmy VeseyNoel AcciariZach PariseMarc-edouard VlasicNikita Zaitsev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Valtteri Puustinen, Noel Acciari, Michael CarconeValtteri Puustinen, Noel AcciariValtteri Puustinen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nikita Zaitsev, Travis Hamonic, Christian WolaninNikita ZaitsevNikita Zaitsev, Travis Hamonic
Tirs de Pénalité
Jimmy Vesey, Zach Parise, David Kampf, Egor Afanasyev, Valtteri Puustinen
Gardien
#1 : James Reimer, #2 : Jonas Johansson


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
1Bulls 22000000734110000004221100000031241.00071320009990709287726451412385240.00%5180.00%017028060.71%15027255.15%7413256.06%2001361806210854
2Comets211000006601010000024-21100000042220.5006101600999056928772665132445600.00%12191.67%017028060.71%15027255.15%7413256.06%2001361806210854
3Moose2000010157-21000000123-11000010034-120.50059140099905292877265617203112216.67%10190.00%017028060.71%15027255.15%7413256.06%2001361806210854
4Oildogs22000000936110000006331100000030341.000915240199907792877266218262913323.08%13192.31%017028060.71%15027255.15%7413256.06%2001361806210854
Total85100101271984210000114122430001001376120.7502747740199902559287726228628214336719.44%40490.00%017028060.71%15027255.15%7413256.06%2001361806210854
_Since Last GM Reset85100101271984210000114122430001001376120.7502747740199902559287726228628214336719.44%40490.00%017028060.71%15027255.15%7413256.06%2001361806210854
_Vs Conference85100101271984210000114122430001001376120.7502747740199902559287726228628214336719.44%40490.00%017028060.71%15027255.15%7413256.06%2001361806210854
_Vs Division65100101221210321000011293330001001037121.0002238600199902039287726172456211224520.83%30390.00%017028060.71%15027255.15%7413256.06%2001361806210854

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
812W4274774255228628214301
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
85101012719
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42100011412
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4300100137
Derniers 10 Matchs
WLOTWOTL SOWSOL
510101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
36719.44%40490.00%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
92877269990
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
17028060.71%15027255.15%7413256.06%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2001361806210854


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 - 2024-09-1912Moose3Lumberjacks 2LXXSommaire du Match
4 - 2024-09-2022Oildogs3Lumberjacks 6WSommaire du Match
6 - 2024-09-2233Lumberjacks 3Moose4LXSommaire du Match
7 - 2024-09-2342Comets4Lumberjacks 2LSommaire du Match
9 - 2024-09-2551Lumberjacks 3Bulls 1WSommaire du Match
11 - 2024-09-2760Lumberjacks 3Oildogs0WSommaire du Match
12 - 2024-09-2866Lumberjacks 4Comets2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
14 - 2024-09-3072Bulls 2Lumberjacks 4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3017
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$ 4,078,570$ 3,082,738$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Séries
20212010100000091829117400000533716936000003845-7209116225300283625273821724124931754213204482942324.47%982376.53%139272953.77%45080056.25%20238352.74%473317505163275136
Total Séries2010100000091829117400000533716936000003845-7209116225300283625273821724124931754213204482942324.47%982376.53%139272953.77%45080056.25%20238352.74%473317505163275136