Wolfpack
GP: 80 | W: 38 | L: 36 | OTL: 6 | P: 82
GF: 353 | GA: 367 | PP%: 22.29% | PK%: 77.52%
DG: Éric Mercier | Morale : 35 | Moyenne d'Équipe : 63
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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
1Richard Panik (R)X100.006832807479757373687178667355483955710241750,000$
2Artem AnisimovX100.0069267873827771727372796263605031557002711,000,000$
3Stefan Noesen (R)X100.007637717273636872627474616444444855680222800,000$
4Dave DziurzynskiX100.007225737381677469666972666860562846680261600,000$
5Henrik Samuelsson (R)X100.006434757864755573736868648045435512670212750,000$
6Seth Griffith (R)X100.007028817665677073706668527446465155660221500,000$
7David Pope (R)X100.006033807465756070717071576947455149660212600,000$
8Phillip Danault (R)X100.006131746871707268675867606946444755640222500,000$
9Kevin Roy (R)X100.006127766070647062656875556145454355630222550,000$
10Sebastian Collberg (R)X100.005632837164697156657366575943435155630211500,000$
11Samuel Blais (R)X100.007835706971497069596061595941417143620191500,000$
12Connor Chatam (R)X100.006834576064476062476359565241416255570191500,000$
13Morgan Ellis (R)X100.007233807370706767566466746252454026690232650,000$
14Derrick Pouliot (R)X100.006722806563657472457167715846435534660212500,000$
15Steven Santini (R)X100.006535727657626375467651644842426044640202600,000$
16Will Borgen (R)X100.006545595665714850235251564042416519570192500,000$
17Colton White (R)X100.006143705164545755315845584940407219570182500,000$
18Joshua Jacobs (R)X100.006342775358526552395746574641416619570191500,000$
Rayé
1Dryden Hunt (R)X100.005037655365556164656574436443446319590202500,000$
2Adam Lowry (R)X100.005830636362607157565663485944444919570222500,000$
3Joel Kiviranta (R)X100.005638646355565164635158466243426419560192500,000$
4Jake Marchment (R)X100.005526716158625553546150615141416226560191500,000$
5Mikhail Vorobyev (R)X100.005025635241625252716763334740408019530182500,000$
6Keegan Kolesar (R)X100.004736574247515143435841433840405919460182500,000$
7Brett Ponich (R)X97.017626747475746771537263705552463546700241800,000$
8Vince Dunn (R)X51.486738835556716172406976605741427349650192500,000$
9Ryan Culkin (R)X100.006236767562556074456855655246454612640221500,000$
10Jacob Middleton (R)X100.006143595261674448236440503241416119540191500,000$
MOYENNE D'ÉQUIPE98.16643372656564636455656258584544553662
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
1Samuel Montembeault (R)100.00587051567270737284625443416352680
2Jordan Binnington100.00636170616269736156716144444455630
Rayé
1Harru Sateri100.00706881686480866868767059573124720
MOYENNE D'ÉQUIPE100.0064666762667377676970624947464468
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano63706156474458USA471300,000$


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
1Richard PanikWolfpack (NYR)RW8060761361244014715636210021316.57%55184823.111022325626551682855151.02%6376145241.47280001275
2Artem AnisimovWolfpack (NYR)C8050781281236011417631612018615.82%68184423.061523385126704492837250.98%24406834011.3928000767
3Dave DziurzynskiWolfpack (NYR)LW764353968740154922587214416.67%42156720.631119304124511261112142.55%1414330021.2237000466
4Stefan NoesenWolfpack (NYR)RW8038428095401441162287415416.67%23134816.86771420190235111264242.86%704122021.1924000384
5Seth GriffithWolfpack (NYR)C8024547881801061031966611812.24%31121915.253811161751011441448.52%8474413001.2812000512
6David PopeWolfpack (NYR)LW7524315582605662173669913.87%2094512.61561111146000034148.57%352314011.1600000223
7Henrik SamuelssonWolfpack (NYR)C66212950-1832089951676511612.57%30106916.216915291671014661051.34%7832813000.9312000131
8Brett PonichWolfpack (NYR)D6564450-1470012214212470434.84%87177527.3141115262300221231100.00%04261000.5600000001
9Kevin RoyWolfpack (NYR)C80142034-132008058112447412.50%2688911.12000021012542151.67%420248010.7600000211
10Samuel BlaisWolfpack (NYR)LW77201434-94209356110385618.18%2188411.48336475000002136.00%251913010.7700000203
11Sebastian CollbergWolfpack (NYR)RW80131932-28405472114328711.40%2590811.36000271123331142.86%281814000.7000000002
12Morgan EllisWolfpack (NYR)D5282129-932068938336379.64%82139726.886612201910002197010.00%02353000.4100000000
13Jonas BrodinRangersD6132528-4240509110541582.86%74132621.7403351520117176000.00%02555000.4200000110
14Phillip DanaultWolfpack (NYR)LW80121527-253001089313443868.96%2795011.880001200112491045.61%572414000.5700000010
15Vince DunnWolfpack (NYR)D622171936040704515184.44%4790814.65123247000069000.00%01526000.4200000010
16Derrick PouliotWolfpack (NYR)D7221719-10360871016830262.94%85142219.7512331520000185000.00%02037000.2700000001
17Steven SantiniWolfpack (NYR)D7831619744053747228364.17%56107613.80101250000285000.00%01339000.3500000000
18Connor ChatamWolfpack (NYR)RW809817-3380573175234312.00%126187.7400002000002061.54%1339000.5500000000
19Ryan CulkinWolfpack (NYR)D4531316519525403511188.57%4059113.15213341011132000.00%0621000.5400001010
20Adam LowryWolfpack (NYR)C51347-314023151861316.67%53276.4200000000000145.11%13334000.4300000002
21Dryden HuntWolfpack (NYR)LW40235-3409818111011.11%31644.10000030001420160.00%540000.6100000010
22Colton WhiteWolfpack (NYR)D4531431603327165918.75%2649310.97101336000041000.00%009000.1600000010
23Joshua JacobsWolfpack (NYR)D440441402421105100.00%143267.42000026000037000.00%027000.2500000000
24Will BorgenWolfpack (NYR)D43022-1180141231030.00%72435.670000400007000.00%114000.1600000000
25Mikhail VorobyevWolfpack (NYR)C27112-1205150120.00%0582.1500000000000060.87%2301000.6900000000
26Jacob MiddletonWolfpack (NYR)D24011-380630100.00%21295.4000000000010000.00%003000.1500000000
27Jake MarchmentWolfpack (NYR)C50101-26081183612.50%31933.87000010000190044.29%7003000.1000000000
28Ryan StromeRangersRW2000-200522210.00%03316.53000020000000100.00%222000.0000000000
29Joel KivirantaWolfpack (NYR)LW37000-200000100.00%0250.70000000000100066.67%300000.0000000000
30Keegan KolesarWolfpack (NYR)RW9000000000000.00%000.100000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1741365608973-7472151774182128571018166512.78%9112459014.12761221982952510121527602206331750.11%57335525542120.791131001394038
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
1Samuel MontembeaultWolfpack (NYR)53251820.8724.302863412051606841610.750205030121
2Jordan BinningtonWolfpack (NYR)39131840.8604.791978201581125584310.77893050001
Stats d'équipe Total ou en Moyenne92383660.8674.5048426136327311425920.759298080122


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 LowryWolfpack (NYR)C221993-01-01Yes210 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Artem AnisimovWolfpack (NYR)C271988-01-01No200 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$0$0$No
Brett PonichWolfpack (NYR)D241991-01-01Yes225 Lbs6 ft7NoNoNo1Pro & Farm800,000$0$0$No
Colton WhiteWolfpack (NYR)D181997-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Connor ChatamWolfpack (NYR)RW191996-01-01Yes225 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Dave DziurzynskiWolfpack (NYR)LW261989-01-01No204 Lbs6 ft3NoNoNo1Pro & Farm600,000$0$0$No
David PopeWolfpack (NYR)LW211994-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No650,000$
Derrick PouliotWolfpack (NYR)D211994-01-01Yes192 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No550,000$
Dryden HuntWolfpack (NYR)LW201995-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Harru SateriWolfpack (NYR)G261989-01-01No205 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Henrik SamuelssonWolfpack (NYR)C211994-01-01Yes216 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No950,000$
Jacob MiddletonWolfpack (NYR)D191996-01-01Yes214 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Jake MarchmentWolfpack (NYR)C191996-01-01Yes225 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Joel KivirantaWolfpack (NYR)LW191996-01-01Yes180 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jordan BinningtonWolfpack (NYR)G231992-01-01No173 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Joshua JacobsWolfpack (NYR)D191996-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Keegan KolesarWolfpack (NYR)RW181997-01-01Yes227 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Kevin RoyWolfpack (NYR)C221993-01-01Yes156 Lbs5 ft8NoNoNo2Pro & Farm550,000$0$0$No600,000$
Mikhail VorobyevWolfpack (NYR)C181997-01-01Yes194 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Morgan EllisWolfpack (NYR)D231992-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm650,000$0$0$No700,000$
Phillip DanaultWolfpack (NYR)LW221993-01-01Yes201 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No600,000$
Richard PanikWolfpack (NYR)RW241991-01-01Yes208 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
Ryan CulkinWolfpack (NYR)D221993-01-01Yes176 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Samuel BlaisWolfpack (NYR)LW191996-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Samuel MontembeaultWolfpack (NYR)G191996-01-01Yes199 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Sebastian CollbergWolfpack (NYR)RW211994-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Seth GriffithWolfpack (NYR)C221993-01-01Yes180 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Stefan NoesenWolfpack (NYR)RW221993-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No900,000$
Steven SantiniWolfpack (NYR)D201995-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm600,000$0$0$No650,000$
Vince Dunn (Sur la Masse Salariale)Wolfpack (NYR)D191996-01-01Yes203 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$Yes500,000$
Will BorgenWolfpack (NYR)D191996-01-01Yes198 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3121.10197 Lbs6 ft11.55567,742$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dave DziurzynskiArtem AnisimovRichard Panik40122
2Samuel BlaisHenrik SamuelssonStefan Noesen30122
3Phillip DanaultSeth GriffithSebastian Collberg20122
4David PopeKevin RoyConnor Chatam10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Morgan EllisDerrick Pouliot40122
2Steven SantiniColton White30122
3Will BorgenJoshua Jacobs20122
4Morgan EllisDerrick Pouliot10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dave DziurzynskiArtem AnisimovRichard Panik60122
2Samuel BlaisHenrik SamuelssonStefan Noesen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Morgan EllisDerrick Pouliot60122
2Steven SantiniColton White40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Richard PanikArtem Anisimov60122
2Dave DziurzynskiStefan Noesen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Morgan EllisDerrick Pouliot60122
2Steven SantiniColton White40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Richard Panik60122Morgan EllisDerrick Pouliot60122
2Artem Anisimov40122Steven SantiniColton White40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Richard PanikSamuel Blais60122
2Dave DziurzynskiArtem Anisimov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Morgan EllisDerrick Pouliot60122
2Steven SantiniColton White40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dave DziurzynskiArtem AnisimovRichard PanikMorgan EllisDerrick Pouliot
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dave DziurzynskiArtem AnisimovRichard PanikMorgan EllisDerrick Pouliot
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Seth Griffith, Phillip Danault, Sebastian CollbergSeth Griffith, Phillip DanaultSebastian Collberg
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Will Borgen, Joshua Jacobs, Steven SantiniWill BorgenJoshua Jacobs, Steven Santini
Tirs de Pénalité
Richard Panik, Artem Anisimov, Dave Dziurzynski, Stefan Noesen, Henrik Samuelsson
Gardien
#1 : Samuel Montembeault, #2 : Jordan Binnington


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
1Admirals21000010972100000104311100000054141.00091221001161201091260864918906436022204211436.36%100100.00%1929185350.13%894179749.75%696139150.04%169794217097521442719
2Barracuda2110000011741010000045-11100000072520.5001117280011612010912658649189064384421756900.00%6266.67%0929185350.13%894179749.75%696139150.04%169794217097521442719
3Bears21000010633100000102111100000042241.0006814001161201091272864918906435522865600.00%40100.00%0929185350.13%894179749.75%696139150.04%169794217097521442719
4Checkers624000002530-5321000001610630300000920-1140.333254368001161201091219686491890643188577211939717.95%361169.44%1929185350.13%894179749.75%696139150.04%169794217097521442719
5Comets512010103334-1201010001215-3311000102119260.60033548700116120109121838649189064316656369919315.79%18761.11%1929185350.13%894179749.75%696139150.04%169794217097521442719
6Condors21000010853100000103211100000053241.0008132100116120109126486491890643623610388225.00%5180.00%0929185350.13%894179749.75%696139150.04%169794217097521442719
7Crunch32100000161152110000011921100000052340.6671626420011612010912988649189064310834205010440.00%10190.00%1929185350.13%894179749.75%696139150.04%169794217097521442719
8Devils3110010089-1210001004401010000045-130.500814220011612010912978649189064311037285012325.00%14192.86%0929185350.13%894179749.75%696139150.04%169794217097521442719
9Eagles633000002427-3312000001316-3321000001111060.500244266001161201091220386491890643192587613032928.13%38878.95%1929185350.13%894179749.75%696139150.04%169794217097521442719
10Griffins201000108801010000034-11000001054120.5008101800116120109126686491890643682222416116.67%11190.91%0929185350.13%894179749.75%696139150.04%169794217097521442719
11Heat704012002739-12402011001620-4302001001119-840.286274370001161201091222186491890643251758215132618.75%411173.17%1929185350.13%894179749.75%696139150.04%169794217097521442719
12IceHogs2020000059-41010000024-21010000035-200.000581300116120109126586491890643672516479222.22%8187.50%0929185350.13%894179749.75%696139150.04%169794217097521442719
13Influenza21100000111101010000035-21100000086220.5001116270011612010912748649189064367218408225.00%4175.00%0929185350.13%894179749.75%696139150.04%169794217097521442719
14Little Stars413000001925-620200000813-5211000001112-120.25019304910116120109121338649189064315650168810110.00%8187.50%1929185350.13%894179749.75%696139150.04%169794217097521442719
15Monsters211000009901010000035-21100000064220.5009162500116120109126486491890643722110347114.29%50100.00%0929185350.13%894179749.75%696139150.04%169794217097521442719
16Moose21100000910-11010000035-21100000065120.5009142300116120109126386491890643712318436350.00%9366.67%0929185350.13%894179749.75%696139150.04%169794217097521442719
17Penguins64100100282353200010012102321000001613390.750284876011161201091221786491890643187464411118211.11%22672.73%0929185350.13%894179749.75%696139150.04%169794217097521442719
18Phantoms220000001679110000009451100000073441.00016294500116120109127586491890643681224455360.00%12466.67%2929185350.13%894179749.75%696139150.04%169794217097521442719
19Punishers31100010181441010000056-121000010138540.66718325000116120109121138649189064310438266413538.46%13284.62%0929185350.13%894179749.75%696139150.04%169794217097521442719
20Rampage30200001717-1020100001510-51010000027-510.167710170011612010912968649189064312033366310110.00%18477.78%2929185350.13%894179749.75%696139150.04%169794217097521442719
21Reign20200000710-31010000035-21010000045-100.0007101700116120109126586491890643712516436350.00%8187.50%0929185350.13%894179749.75%696139150.04%169794217097521442719
22Rocket211000007701010000015-41100000062420.5007132000116120109126986491890643592012486116.67%6183.33%0929185350.13%894179749.75%696139150.04%169794217097521442719
23Senators412000011214-22010000179-22110000055030.3751221330011612010912139864918906431404432989111.11%16475.00%0929185350.13%894179749.75%696139150.04%169794217097521442719
24Sound Tigers33000000191451100000075222000000129361.00019325100116120109121058649189064310524265713323.08%13469.23%0929185350.13%894179749.75%696139150.04%169794217097521442719
25Thunderbirds312000001117-61010000028-62110000099020.3331120311011612010912998649189064310242247310330.00%12375.00%0929185350.13%894179749.75%696139150.04%169794217097521442719
Total80303602462353367-144092102332158183-254021150013019518411820.5133535819342111612010912270286491890643273388569916953147022.29%3477877.52%11929185350.13%894179749.75%696139150.04%169794217097521442719
_Since Last GM Reset80303602462353367-144092102332158183-254021150013019518411820.5133535819342111612010912270286491890643273388569916953147022.29%3477877.52%11929185350.13%894179749.75%696139150.04%169794217097521442719
_Vs Conference53172602422228260-322771302302111130-1926101300120117130-13480.4532283836112111612010912179586491890643182457049210962144521.03%2465976.02%8929185350.13%894179749.75%696139150.04%169794217097521442719
_Vs Division2591201300104119-15135501200575611247001004763-16230.4601041762800111612010912837864918906438182362745111212419.83%1373673.72%3929185350.13%894179749.75%696139150.04%169794217097521442719

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8082L135358193427022733885699169521
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8030362462353367
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
409212332158183
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4021150130195184
Derniers 10 Matchs
WLOTWOTL SOWSOL
350200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3147022.29%3477877.52%11
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
8649189064311612010912
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
929185350.13%894179749.75%696139150.04%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
169794217097521442719


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 - 2020-10-1011Wolfpack5Thunderbirds3WSommaire du Match
4 - 2020-10-1221Heat5Wolfpack3LR1Sommaire du Match
5 - 2020-10-1327Wolfpack5Eagles3WSommaire du Match
8 - 2020-10-1639Wolfpack4Comets7LSommaire du Match
10 - 2020-10-1851Penguins0Wolfpack2WSommaire du Match
11 - 2020-10-1958Wolfpack4Checkers7LSommaire du Match
14 - 2020-10-2275Eagles7Wolfpack4LSommaire du Match
16 - 2020-10-2487Wolfpack6Penguins4WSommaire du Match
18 - 2020-10-26100Senators5Wolfpack4LXXSommaire du Match
20 - 2020-10-28108Wolfpack8Comets7WXXSommaire du Match
23 - 2020-10-31123Wolfpack4Heat7LR1Sommaire du Match
24 - 2020-11-01130Checkers1Wolfpack6WSommaire du Match
28 - 2020-11-05151Wolfpack3Heat7LR1Sommaire du Match
29 - 2020-11-06155Heat5Wolfpack6WXSommaire du Match
32 - 2020-11-09175Wolfpack7Little Stars6WSommaire du Match
34 - 2020-11-11182Checkers3Wolfpack7WSommaire du Match
38 - 2020-11-15207Devils2Wolfpack3WSommaire du Match
42 - 2020-11-19226Comets9Wolfpack5LSommaire du Match
44 - 2020-11-21238Wolfpack5Crunch2WSommaire du Match
46 - 2020-11-23251Wolfpack9Comets5WSommaire du Match
47 - 2020-11-24257Monsters5Wolfpack3LSommaire du Match
50 - 2020-11-27267Wolfpack5Admirals4WSommaire du Match
52 - 2020-11-29282Condors2Wolfpack3WXXSommaire du Match
55 - 2020-12-02299Wolfpack6Moose5WSommaire du Match
57 - 2020-12-04308Reign5Wolfpack3LSommaire du Match
60 - 2020-12-07319Wolfpack3IceHogs5LSommaire du Match
62 - 2020-12-09332Punishers6Wolfpack5LSommaire du Match
65 - 2020-12-12347Wolfpack8Influenza6WSommaire du Match
67 - 2020-12-14358Crunch3Wolfpack6WSommaire du Match
71 - 2020-12-18381Admirals3Wolfpack4WXXSommaire du Match
75 - 2020-12-22397Wolfpack5Griffins4WXXSommaire du Match
77 - 2020-12-24406Bears1Wolfpack2WXXSommaire du Match
80 - 2020-12-27427Crunch6Wolfpack5LSommaire du Match
83 - 2020-12-30441Wolfpack5Condors3WSommaire du Match
85 - 2021-01-01451Wolfpack6Rocket2WSommaire du Match
87 - 2021-01-03460Comets6Wolfpack7WXSommaire du Match
89 - 2021-01-05474Wolfpack4Heat5LXR1Sommaire du Match
92 - 2021-01-08485IceHogs4Wolfpack2LSommaire du Match
94 - 2021-01-10501Wolfpack4Little Stars6LSommaire du Match
96 - 2021-01-12508Senators4Wolfpack3LSommaire du Match
102 - 2021-01-18533Phantoms4Wolfpack9WSommaire du Match
107 - 2021-01-23556Barracuda5Wolfpack4LSommaire du Match
109 - 2021-01-25566Wolfpack4Bears2WSommaire du Match
111 - 2021-01-27581Eagles3Wolfpack5WSommaire du Match
113 - 2021-01-29590Wolfpack4Reign5LSommaire du Match
115 - 2021-01-31606Penguins5Wolfpack6WSommaire du Match
117 - 2021-02-02614Wolfpack1Checkers5LSommaire du Match
121 - 2021-02-06631Wolfpack9Penguins7WSommaire du Match
122 - 2021-02-07637Rocket5Wolfpack1LSommaire du Match
125 - 2021-02-10658Wolfpack1Penguins2LSommaire du Match
126 - 2021-02-11662Rampage5Wolfpack1LSommaire du Match
130 - 2021-02-15681Wolfpack7Punishers3WSommaire du Match
132 - 2021-02-17689Devils2Wolfpack1LXSommaire du Match
135 - 2021-02-20704Wolfpack4Thunderbirds6LSommaire du Match
137 - 2021-02-22715Eagles6Wolfpack4LSommaire du Match
139 - 2021-02-24731Wolfpack4Devils5LSommaire du Match
141 - 2021-02-26739Rampage5Wolfpack4LXXSommaire du Match
145 - 2021-03-02754Wolfpack2Rampage7LSommaire du Match
147 - 2021-03-04766Sound Tigers5Wolfpack7WSommaire du Match
149 - 2021-03-06776Wolfpack7Phantoms3WSommaire du Match
151 - 2021-03-08788Checkers6Wolfpack3LSommaire du Match
157 - 2021-03-14811Wolfpack6Punishers5WXXSommaire du Match
158 - 2021-03-15817Wolfpack4Checkers8LSommaire du Match
159 - 2021-03-16822Moose5Wolfpack3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
163 - 2021-03-20844Griffins4Wolfpack3LSommaire du Match
165 - 2021-03-22852Wolfpack5Eagles3WSommaire du Match
168 - 2021-03-25867Heat4Wolfpack2LR1Sommaire du Match
170 - 2021-03-27881Wolfpack7Barracuda2WSommaire du Match
173 - 2021-03-30894Influenza5Wolfpack3LSommaire du Match
174 - 2021-03-31898Wolfpack6Monsters4WSommaire du Match
178 - 2021-04-04920Little Stars7Wolfpack5LSommaire du Match
184 - 2021-04-10944Little Stars6Wolfpack3LSommaire du Match
187 - 2021-04-13957Wolfpack3Senators2WSommaire du Match
189 - 2021-04-15969Heat6Wolfpack5LXR1Sommaire du Match
190 - 2021-04-16976Wolfpack1Eagles5LSommaire du Match
194 - 2021-04-20994Thunderbirds8Wolfpack2LSommaire du Match
195 - 2021-04-211000Wolfpack6Sound Tigers4WSommaire du Match
198 - 2021-04-241018Penguins5Wolfpack4LXSommaire du Match
199 - 2021-04-251023Wolfpack6Sound Tigers5WSommaire du Match
204 - 2021-04-301040Wolfpack2Senators3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance53,98627,070
Assistance PCT67.48%67.68%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2026 - 67.55% 70,897$2,835,882$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,961,170$ 1,710,000$ 1,695,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
8,341$ 1,646,934$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 9,805$ 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