Chicago Wolves

GP: 25 | W: 13 | L: 8 | OTL: 4 | P: 30
GF: 68 | GA: 67 | PP%: 23.60% | PK%: 80.23%
DG: Jason Perreault | Morale : 51 | Moyenne d'Équipe : N/A
Prochain matchs #431 vs Rockford IceHogs
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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 Moyen
1Joseph LabateXX99.008844797784787677747977707274747057002741,800,000$
2Carl KlingbergXX97.006143908286787681617979657985907057002931,900,000$
3David Desharnais (A)X99.005630907567717285768275647898997057003421,000,000$
4Matt Filipe (R)XX100.00764175738082817371727169686060704700233800,000$
5Spencer Smallman (R)X100.00744075747981717365757267706565705700241800,000$
6Mats ZuccarelloX99.006738948168737483637676617897987057003321,100,000$
7Petr StrakaXX99.00713883777679777867757766756864704800281750,000$
8Carl HagelinX100.00573390817073727768777760829290705700321800,000$
9Anton LanderX100.006133888276828182787878667796897057002931,500,000$
10Andreas MartinsenXXX100.00804572688372707074717164708286703900301600,000$
11Nicklas JensenX100.008938777584828178607878677269687057002711,200,000$
12Connor Crisp (R)XX100.00915568698776737072706967706566704300263725,000$
13Tyler Soy (R)X100.00653379796777757672747363735656705700231800,000$
14Jesse Ylonen (R) (C)X100.00653379797178787765747467715756705700211800,000$
15Jakub JerabekX99.008338737881797881528062816871707057002941,100,000$
16Lucas Johansen (R) (A)X99.00703579787682687750756280606565705700233850,000$
17Trevor Carrick (R)X99.00905069768679817750776379666769705700261800,000$
18Tom GilbertX100.007443777079838271507461797099997057003711,100,000$
19Alex Peters (R)X100.00925366688975726850695880566363705700242650,000$
20Matthew Cairns (R)X100.00854574698677776750685781556464704300222650,000$
Rayé
1Justin ShuggX100.006233807375747374657272617279827037002911,000,000$
2David SchlemkoX100.00844377747975777851786184689899701800332900,000$
3Mattias BackmanX100.008841727880828079508265836284847050002841,900,000$
MOYENNE D'ÉQUIPE99.5775407975797876766275707170767670510
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
1Brandon Halverson (R)100.0083828487838382858383816561705700
2Matt O'Connor100.0083828488878787878886876871704300
3Anton Forsberg97.0087848587888888888887866464704700
Rayé
MOYENNE D'ÉQUIPE99.008483848786868687868585666570490
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Reirden90908580758570USA472750,000$


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
1Joseph LabateChicago Wolves (VAN)C/LW25917265120405678195311.54%546818.74371018690001471049.56%56700001.1100000402
2Jakub JerabekChicago Wolves (VAN)D25517223240373529182717.24%3156922.7837101568000061010.00%000000.7700000210
3Trevor CarrickChicago Wolves (VAN)D2541216-426060343972710.26%3560424.170441571000162200.00%000000.5300000101
4Nicklas JensenChicago Wolves (VAN)RW25610168240272553223111.32%237214.91156731000002062.50%3200000.8600000011
5Carl KlingbergChicago Wolves (VAN)LW/RW255914-810019377628486.58%156622.6511212710003871144.55%22000000.4900000100
6Petr StrakaChicago Wolves (VAN)LW/RW16771444051253133513.21%028017.552461048000001038.10%2100001.0000000022
7Anton LanderChicago Wolves (VAN)C256814-86018376218439.68%542817.1504418720005910054.04%50700000.6500000010
8Tom GilbertChicago Wolves (VAN)D256612940172533131718.18%3348819.545051970000172100.00%000000.4900000020
9Lucas JohansenChicago Wolves (VAN)D2501010-72010333410170.00%4247218.920442046000028000.00%000000.4200000100
10Mats ZuccarelloChicago Wolves (VAN)RW256410-260211939194215.38%437915.19314753000003039.39%3300000.5300000111
11David DesharnaisChicago Wolves (VAN)C253471407374310366.98%538815.55000000000370051.64%39700000.3600000000
12Marc-Andre GragnaniVancouver CanucksD8156120012137117.69%1319023.85101816000026000.00%000000.6300000000
13Carl HagelinChicago Wolves (VAN)LW2515644013164812332.08%236514.63011420000000028.57%2800000.3300000000
14Jesse YlonenChicago Wolves (VAN)RW25246-10028174613294.35%334213.6901110580000111048.28%2900000.3500000000
15David SchlemkoChicago Wolves (VAN)D32350002240350.00%47324.65213310000011010.00%000001.3500000100
16Matt FilipeChicago Wolves (VAN)C/LW25314-210023292681911.54%127210.90000000000131051.70%17600000.2900000020
17Matthew CairnsChicago Wolves (VAN)D14213020814132815.38%1618313.090000000000010.00%000000.3300000001
18Alex PetersChicago Wolves (VAN)D25022-7260771913880.00%3242817.1300001000028000.00%000000.0900000000
19Tyler SoyChicago Wolves (VAN)C25011-220523155220.00%01275.0900001000000048.06%12900000.1600000000
20Spencer SmallmanChicago Wolves (VAN)RW25000-4803514212250.00%226410.5800000000000044.00%2500000.0000000000
21Justin ShuggChicago Wolves (VAN)LW9000-280177060.00%010211.3600000000000057.14%700000.0000000000
22Andreas MartinsenChicago Wolves (VAN)C/LW/RW8000000000000.00%000.020000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne45868126194-1218404535037452345409.13%236737116.102140611667130001158213450.16%217100000.530000011108
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
1Anton ForsbergChicago Wolves (VAN)2512840.9102.73147400677410000.0000250211
2Matt O'ConnorChicago Wolves (VAN)21001.0000.0036000180000.0000014000
Stats d'équipe Total ou en Moyenne2713840.9122.66151100677590000.00002514211


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 RestantSalaire MoyenSalaire Moyen 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
Alex PetersChicago Wolves (VAN)D241995-01-22 15:36:37Yes220 Lbs6 ft4NoNoNo2Pro & Farm650,000$452,925$650,000$452,925$0$0$No650,000$
Andreas MartinsenChicago Wolves (VAN)C/LW/RW301989-01-22 02:14:35No205 Lbs6 ft2NoNoNo1Pro & Farm600,000$418,085$600,000$418,085$0$0$No
Anton ForsbergChicago Wolves (VAN)G281991-01-22 10:30:17No192 Lbs6 ft2NoNoNo4Pro & Farm1,900,000$1,323,936$1,900,000$1,323,936$0$0$No1,900,000$1,900,000$1,900,000$
Anton LanderChicago Wolves (VAN)C291990-01-22 10:20:56No194 Lbs6 ft0NoNoNo3Pro & Farm1,500,000$1,045,212$1,500,000$1,045,212$0$0$No1,500,000$1,500,000$
Brandon HalversonChicago Wolves (VAN)G241995-01-01 03:15:52Yes209 Lbs6 ft4NoNoNo1Pro & Farm700,000$487,765$700,000$487,765$0$0$No
Carl HagelinChicago Wolves (VAN)LW321987-01-22 09:24:04No176 Lbs5 ft11NoNoNo1Pro & Farm800,000$557,446$800,000$557,446$0$0$No
Carl KlingbergChicago Wolves (VAN)LW/RW291990-01-22 18:29:38No205 Lbs6 ft3NoNoNo3Pro & Farm1,900,000$1,323,936$1,900,000$1,323,936$0$0$No1,900,000$1,900,000$
Connor CrispChicago Wolves (VAN)C/LW261993-01-22 10:16:06Yes220 Lbs6 ft3NoNoNo3Pro & Farm725,000$505,186$725,000$505,186$0$0$No725,000$725,000$
David DesharnaisChicago Wolves (VAN)C341985-01-22 12:29:38No177 Lbs5 ft7NoNoNo2Pro & Farm1,000,000$696,808$1,000,000$696,808$0$0$No1,000,000$
David SchlemkoChicago Wolves (VAN)D331986-01-22 18:29:38No201 Lbs6 ft1NoNoNo2Pro & Farm900,000$627,127$900,000$627,127$0$0$No900,000$
Jakub JerabekChicago Wolves (VAN)D291990-01-22 07:16:42No190 Lbs5 ft11NoNoNo4Pro & Farm1,100,000$766,489$1,100,000$766,489$0$0$No1,100,000$1,100,000$1,100,000$
Jesse YlonenChicago Wolves (VAN)RW211998-01-22 08:11:11Yes168 Lbs6 ft0NoNoNo1Pro & Farm800,000$557,446$800,000$557,446$0$0$No
Joseph LabateChicago Wolves (VAN)C/LW271992-01-22 08:58:18No201 Lbs6 ft4NoNoNo4Pro & Farm1,800,000$1,254,255$1,800,000$1,254,255$0$0$No1,800,000$1,800,000$1,800,000$
Justin ShuggChicago Wolves (VAN)LW291990-01-22 02:54:46No194 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$696,808$1,000,000$696,808$0$0$No
Lucas JohansenChicago Wolves (VAN)D231996-01-02 10:55:12Yes183 Lbs6 ft2NoNoNo3Pro & Farm850,000$592,287$850,000$592,287$0$0$No850,000$850,000$
Mats ZuccarelloChicago Wolves (VAN)RW331986-01-22 18:29:38No174 Lbs5 ft7NoNoNo2Pro & Farm1,100,000$766,489$1,100,000$766,489$0$0$No1,100,000$
Matt FilipeChicago Wolves (VAN)C/LW231996-01-02 10:39:38Yes198 Lbs6 ft2NoNoNo3Pro & Farm800,000$557,446$800,000$557,446$0$0$No800,000$800,000$
Matt O'ConnorChicago Wolves (VAN)G281991-01-22 04:11:39No206 Lbs6 ft6NoNoNo2Pro & Farm750,000$522,606$750,000$522,606$0$0$No750,000$
Matthew CairnsChicago Wolves (VAN)D221997-01-22 15:39:52Yes203 Lbs6 ft2NoNoNo2Pro & Farm650,000$452,925$650,000$452,925$0$0$No650,000$
Mattias BackmanChicago Wolves (VAN)D281991-01-22 04:13:58No170 Lbs6 ft2NoNoNo4Pro & Farm1,900,000$1,323,936$1,900,000$1,323,936$0$0$No1,900,000$1,900,000$1,900,000$
Nicklas JensenChicago Wolves (VAN)RW271992-01-22 03:01:01No202 Lbs6 ft3NoNoNo1Pro & Farm1,200,000$836,170$1,200,000$836,170$0$0$No
Petr StrakaChicago Wolves (VAN)LW/RW281991-01-22 08:13:02No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$522,606$750,000$522,606$0$0$No
Spencer SmallmanChicago Wolves (VAN)RW241995-01-02 10:46:18Yes198 Lbs6 ft1NoNoNo1Pro & Farm800,000$557,446$800,000$557,446$0$0$No
Tom GilbertChicago Wolves (VAN)D371982-01-22 18:29:38No206 Lbs6 ft3NoNoNo1Pro & Farm1,100,000$766,489$1,100,000$766,489$0$0$No
Trevor CarrickChicago Wolves (VAN)D261993-01-22 15:12:37Yes196 Lbs6 ft2NoNoNo1Pro & Farm800,000$557,446$800,000$557,446$0$0$No
Tyler SoyChicago Wolves (VAN)C231996-01-22 04:14:28Yes170 Lbs6 ft0NoNoNo1Pro & Farm800,000$557,446$800,000$557,446$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2627.58194 Lbs6 ft12.081,033,654$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Carl KlingbergAnton LanderJesse Ylonen25122
2Petr StrakaJoseph LabateNicklas Jensen25122
3Carl HagelinDavid DesharnaisMats Zuccarello25122
4Carl KlingbergMatt FilipeSpencer Smallman25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matthew CairnsTrevor Carrick25122
2Tom GilbertJakub Jerabek25122
3Lucas JohansenAlex Peters25122
4Jakub JerabekTrevor Carrick25122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Carl KlingbergAnton LanderJesse Ylonen60122
2Petr StrakaJoseph LabateMats Zuccarello40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Lucas JohansenTrevor Carrick60122
2Tom GilbertJakub Jerabek40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Carl KlingbergAnton Lander60122
2Joseph LabateDavid Desharnais40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Lucas JohansenTrevor Carrick60122
2Tom GilbertJakub Jerabek40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Carl Klingberg60122Lucas JohansenTrevor Carrick60122
2Anton Lander40122Tom GilbertJakub Jerabek40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Carl KlingbergAnton Lander60122
2Joseph LabateDavid Desharnais40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Lucas JohansenTrevor Carrick60122
2Tom GilbertJakub Jerabek40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Carl KlingbergAnton LanderMats ZuccarelloJakub JerabekTrevor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Carl KlingbergAnton LanderMats ZuccarelloJakub JerabekTrevor Carrick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Soy, Carl Hagelin, Jesse YlonenTyler Soy, Carl HagelinJesse Ylonen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lucas Johansen, Jakub Jerabek, Tom GilbertLucas JohansenTrevor Carrick, Tom Gilbert
Tirs de Pénalité
Carl Klingberg, Anton Lander, Joseph Labate, David Desharnais, Mats Zuccarello
Gardien
#1 : Anton Forsberg, #2 : Matt O'Connor, #3 : Brandon Halverson
Lignes d'Attaque Perso. en Prol.
Carl Klingberg, Anton Lander, Joseph Labate, David Desharnais, Mats Zuccarello, Nicklas Jensen, Nicklas Jensen, Petr Straka, Carl Hagelin, Jesse Ylonen, Spencer Smallman
Lignes de Défense Perso. en Prol.
Alex Peters, Trevor Carrick, Tom Gilbert, Jakub Jerabek, Lucas Johansen


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
1Adirondack Phantoms1010000023-11010000023-10000000000000.0002460027211734226926620372276174125.00%3166.67%042788648.19%46288752.09%20038052.63%588403606186317158
2Charlotte Checkers20001100770200011007700000000000030.7507132000272117356269266203770241435300.00%7185.71%042788648.19%46288752.09%20038052.63%588403606186317158
3Connecticut Whale1010000013-21010000013-20000000000000.00012300272117319269266203728178123133.33%30100.00%042788648.19%46288752.09%20038052.63%588403606186317158
4Gatineau Olympiques10001000431100010004310000000000021.000481200272117326269266203734111420400.00%60100.00%042788648.19%46288752.09%20038052.63%588403606186317158
5Grand Rapids Griffins2110000035-21010000004-41100000031220.50035800272117364269266203780301844300.00%9277.78%042788648.19%46288752.09%20038052.63%588403606186317158
6Houston Aeros2110000036-3110000003211010000004-420.500358002721173622692662037632012308112.50%6266.67%042788648.19%46288752.09%20038052.63%588403606186317158
7Joliette Sportif11000000312000000000001100000031221.0003580027211732026926620372614415100.00%20100.00%042788648.19%46288752.09%20038052.63%588403606186317158
8Lake Erie Monsters1000010012-11000010012-10000000000010.500123002721173232692662037273810500.00%40100.00%042788648.19%46288752.09%20038052.63%588403606186317158
9Laval Chiefs11000000312110000003120000000000021.000358002721173232692662037389416500.00%20100.00%042788648.19%46288752.09%20038052.63%588403606186317158
10Manitoba Moose11000000422000000000001100000042221.000481200272117327269266203731108236350.00%4175.00%042788648.19%46288752.09%20038052.63%588403606186317158
11Mercer Island Hafgufa21000100770110000005411000010023-130.7507142100272117364269266203757168367342.86%40100.00%042788648.19%46288752.09%20038052.63%588403606186317158
12Milwaukee Admirals20101000770000000000002010100077020.500713200027211736926926620376014263211327.27%12375.00%042788648.19%46288752.09%20038052.63%588403606186317158
13Oklahoma City Barons11000000211000000000001100000021121.000235002721173192692662037316614100.00%30100.00%042788648.19%46288752.09%20038052.63%588403606186317158
14Peoria Rivermen211000008531010000034-11100000051420.500814220027211735926926620375721184510550.00%6266.67%042788648.19%46288752.09%20038052.63%588403606186317158
15Providence Bruins1000010023-11000010023-10000000000010.500246002721173252692662037337102311100.00%5180.00%042788648.19%46288752.09%20038052.63%588403606186317158
16Roberval Dwarfs21100000651110000005231010000013-220.5006111700272117382269266203753118387114.29%4175.00%042788648.19%46288752.09%20038052.63%588403606186317158
17The Nuuk Vikings1010000024-2000000000001010000024-200.00024600272117337269266203722108235120.00%4325.00%042788648.19%46288752.09%20038052.63%588403606186317158
Total2510803400686711344023003638-212640110032293300.600681261940027211737452692662037759236184453892123.60%861780.23%042788648.19%46288752.09%20038052.63%588403606186317158
18Trois-Rivières Draveurs11000000321000000000001100000032121.0003690027211732826926620372764205120.00%20100.00%042788648.19%46288752.09%20038052.63%588403606186317158
_Since Last GM Reset2510803400686711344023003638-212640110032293300.600681261940027211737452692662037759236184453892123.60%861780.23%042788648.19%46288752.09%20038052.63%588403606186317158
_Vs Conference16750220043421732011001920-19430110024222200.62543781210027211734662692662037495154126285601321.67%581279.31%042788648.19%46288752.09%20038052.63%588403606186317158
_Vs Division741002002117432000100128442100100990100.7142139600027211731892692662037208664412423417.39%21385.71%042788648.19%46288752.09%20038052.63%588403606186317158

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2530W26812619474575923618445300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2510834006867
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
134423003638
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
126411003229
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
892123.60%861780.23%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
26926620372721173
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
42788648.19%46288752.09%20038052.63%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
588403606186317158


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
1 - 2020-10-288Chicago Wolves2Oklahoma City Barons1WSommaire du Match
3 - 2020-10-3023Lake Erie Monsters2Chicago Wolves1LXSommaire du Match
5 - 2020-11-0135Chicago Wolves1Milwaukee Admirals2LSommaire du Match
7 - 2020-11-0355Charlotte Checkers4Chicago Wolves5WXSommaire du Match
10 - 2020-11-0676Providence Bruins3Chicago Wolves2LXSommaire du Match
12 - 2020-11-0894Chicago Wolves3Joliette Sportif1WSommaire du Match
14 - 2020-11-10106Chicago Wolves2Mercer Island Hafgufa3LXSommaire du Match
16 - 2020-11-12122Gatineau Olympiques3Chicago Wolves4WXSommaire du Match
18 - 2020-11-14140Peoria Rivermen4Chicago Wolves3LSommaire du Match
22 - 2020-11-18165Chicago Wolves4Manitoba Moose2WSommaire du Match
24 - 2020-11-20178Mercer Island Hafgufa4Chicago Wolves5WSommaire du Match
25 - 2020-11-21193Chicago Wolves2The Nuuk Vikings4LSommaire du Match
28 - 2020-11-24207Charlotte Checkers3Chicago Wolves2LXSommaire du Match
31 - 2020-11-27222Chicago Wolves6Milwaukee Admirals5WXSommaire du Match
33 - 2020-11-29241Grand Rapids Griffins4Chicago Wolves0LSommaire du Match
37 - 2020-12-03270Roberval Dwarfs2Chicago Wolves5WSommaire du Match
39 - 2020-12-05286Chicago Wolves1Roberval Dwarfs3LSommaire du Match
41 - 2020-12-07303Adirondack Phantoms3Chicago Wolves2LSommaire du Match
43 - 2020-12-09316Chicago Wolves3Grand Rapids Griffins1WSommaire du Match
45 - 2020-12-11335Chicago Wolves5Peoria Rivermen1WSommaire du Match
47 - 2020-12-13344Connecticut Whale3Chicago Wolves1LSommaire du Match
51 - 2020-12-17371Houston Aeros2Chicago Wolves3WSommaire du Match
53 - 2020-12-19387Chicago Wolves0Houston Aeros4LSommaire du Match
55 - 2020-12-21402Laval Chiefs1Chicago Wolves3WSommaire du Match
57 - 2020-12-23417Chicago Wolves3Trois-Rivières Draveurs2WSommaire du Match
59 - 2020-12-25431Chicago Wolves-Rockford IceHogs-
61 - 2020-12-27445Grand Rapids Griffins-Chicago Wolves-
63 - 2020-12-29457Chicago Wolves-Norfolk Admirals-
65 - 2020-12-31472Chicago Wolves-Milwaukee Admirals-
66 - 2021-01-01482The Nuuk Vikings-Chicago Wolves-
70 - 2021-01-05508Charlotte Checkers-Chicago Wolves-
72 - 2021-01-07523Chicago Wolves-Oklahoma City Barons-
74 - 2021-01-09540Chicago Wolves-Mercer Island Hafgufa-
75 - 2021-01-10547Binghamton Senators-Chicago Wolves-
78 - 2021-01-13572Chicago Wolves-Rouyn-Noranda Huskies-
79 - 2021-01-14580Henderson Silver Knights-Chicago Wolves-
82 - 2021-01-17597Chicago Wolves-Rockford IceHogs-
84 - 2021-01-19611Rockford IceHogs-Chicago Wolves-
88 - 2021-01-23637Chicago Wolves-Las Vegas Gamblers-
89 - 2021-01-24647Wilkes-Barre/Scranton Penguins-Chicago Wolves-
92 - 2021-01-27667Chicago Wolves-Mercer Island Hafgufa-
93 - 2021-01-28680Springfield Falcons-Chicago Wolves-
97 - 2021-02-01704Chicago Wolves-Joliette Sportif-
98 - 2021-02-02712Oklahoma City Barons-Chicago Wolves-
101 - 2021-02-05739Chicago Wolves-Rochester Americans-
102 - 2021-02-06746Providence Bruins-Chicago Wolves-
105 - 2021-02-09773Gatineau Olympiques-Chicago Wolves-
109 - 2021-02-13795Chicago Wolves-Springfield Falcons-
110 - 2021-02-14808Houston Aeros-Chicago Wolves-
113 - 2021-02-17828Chicago Wolves-Henderson Silver Knights-
114 - 2021-02-18837Bridgeport Sound Tigers-Chicago Wolves-
118 - 2021-02-22864Lake Erie Monsters-Chicago Wolves-
121 - 2021-02-25879Chicago Wolves-Chicoutimi Saguenéens-
123 - 2021-02-27901San Antonio Rampage-Chicago Wolves-
125 - 2021-03-01917Chicago Wolves-Charlotte Checkers-
127 - 2021-03-03928Chicago Wolves-Henderson Silver Knights-
128 - 2021-03-04940Oklahoma City Barons-Chicago Wolves-
132 - 2021-03-08968Milwaukee Admirals-Chicago Wolves-
134 - 2021-03-10986Chicago Wolves-Bridgeport Sound Tigers-
136 - 2021-03-12997Rouyn-Noranda Huskies-Chicago Wolves-
138 - 2021-03-141007Chicago Wolves-Rouyn-Noranda Huskies-
141 - 2021-03-171032CCCP Red Army-Chicago Wolves-
144 - 2021-03-201052Chicago Wolves-Manitoba Moose-
146 - 2021-03-221065Mercer Island Hafgufa-Chicago Wolves-
150 - 2021-03-261094Chicago Wolves-Gatineau Olympiques-
151 - 2021-03-271101Joliette Sportif-Chicago Wolves-
155 - 2021-03-311129Springfield Falcons-Chicago Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
159 - 2021-04-041153Chicago Wolves-Albany Devils-
160 - 2021-04-051161Peoria Rivermen-Chicago Wolves-
164 - 2021-04-091190Henderson Silver Knights-Chicago Wolves-
168 - 2021-04-131222Joliette Sportif-Chicago Wolves-
170 - 2021-04-151232Chicago Wolves-CCCP Red Army-
172 - 2021-04-171250Chicago Wolves-The Nuuk Vikings-
174 - 2021-04-191257Las Vegas Gamblers-Chicago Wolves-
176 - 2021-04-211264Chicago Wolves-Houston Aeros-
179 - 2021-04-241283Chicago Wolves-Lake Erie Monsters-
180 - 2021-04-251287Chicago Wolves-Laval Chiefs-
181 - 2021-04-261292Las Vegas Gamblers-Chicago Wolves-
186 - 2021-05-011310Chicago Wolves-Lake Erie Monsters-
187 - 2021-05-021316Chicago Wolves-Laval Chiefs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4020
Assistance25,98712,985
Assistance PCT99.95%99.88%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
27 2998 - 99.93% 99,937$1,299,180$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
985,460$ 2,687,500$ 2,687,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
14,295$ 757,548$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,698,297$ 131 18,285$ 2,395,335$




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