Chicago Wolves
GP: 66 | W: 33 | L: 28 | OTL: 5 | P: 71
GF: 201 | GA: 209 | PP%: 17.96% | PK%: 81.75%
DG: Jason Perreault | Morale : 57 | Moyenne d'Équipe : N/A
Prochain matchs #1063 vs Mercer Island Hafgufa
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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
1Carl KlingbergXX100.0060399380857875796371716579919615000
2James Van RiemsdykX99.0085457774848885846372736580989915000
3Spencer Smallman (R)X100.0077357876818373766570696870727255000
4Todd Burgess (R)XX99.0078437774798382757368686871646435000
5Lean Bergmann (R)XXX100.0088527076858082767472707571727065000
6Mattias TedenbyXX100.0062309683748078816072716282969415000
7Mathieu Desgagnés (R)X100.0064428676728179766569686472637355000
8Ryan DzingelXXX99.0060359087738181807674746877838215000
9Nikolay ProkhorkinX99.0082368080848886806574747077938815000
10Quinton HowdenXX99.0083368581818478777572717474989415000
11Nicklas Jensen (C)X99.0091387876868685786573736874777615000
12Alexis Pepin (R)X100.0087537071877572736566666768565735000
13Tyler Soy (R)X100.0065308381697977777369686473626255000
14Jakub JerabekX100.0085357776817878825273658368777665000
15Trevor CarrickX100.0092466977888284805073698568757665000
16Dillon FournierX100.0086517275817874785073718863858665000
17Jordan SchmaltzX99.00854375778279748050726489647676705000
18Mac BennettX96.00754383777977767851726686638795705000
Rayé
1Matt Filipe (R)XX100.0078377976828584767269687069676755000
2Connor CrispXX100.0091526971877569707265636770676825000
3Kelly Klima (R)X100.0082456876777570726364666570545635000
4Mattias BackmanX94.0989407276818381785076688565909055000
5Matthew Cairns (R)X100.0087477471877874705065628757696945000
MOYENNE D'ÉQUIPE99.268041787781817877637169737177789500
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)100.008584868786848386858582726785000
2Jake Allen98.008683898690899288878889959015000
3Anton Forsberg100.008683848787858585858686676765000
Rayé
MOYENNE D'ÉQUIPE99.33868386878886878686868678755500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Reirden81838280828270USA5221,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Ryan DzingelChicago Wolves (VAN)C/LW/RW592638641910029551906111013.68%1797516.5310112149169000295251.49%57112219001.3100000831
2Carl KlingbergChicago Wolves (VAN)LW/RW661626424402435144608311.11%1293114.121567600000411051.85%817811000.9000000302
3James Van RiemsdykChicago Wolves (VAN)LW66172138-94409740128589113.28%24124618.882121429182123112154041.36%1627418000.6125000333
4Nicklas JensenChicago Wolves (VAN)RW66112334-230012838153591057.19%8108716.4711011342090001355054.35%469311000.6302000222
5Mattias TedenbyChicago Wolves (VAN)LW/RW57112132-1001327133501038.27%785314.9704413970116442042.86%701078010.7500000222
6Quinton HowdenChicago Wolves (VAN)C/LW57122032-1240857612740719.45%25108118.97481223185101101622250.80%9336323000.5925000003
7Nikolay ProkhorkinChicago Wolves (VAN)LW5218133164156353143429612.59%2193017.904482212420281540052.66%2077220100.6714000342
8Spencer SmallmanChicago Wolves (VAN)RW66921307220794811142728.11%1390113.6700000000000242.42%333816000.6700000114
9Trevor CarrickChicago Wolves (VAN)D66121628-2660110104101405011.88%106145422.047310282041233173310.00%02776110.3800000121
10Jakub JerabekChicago Wolves (VAN)D6671623-18440891187228189.72%73106616.16000117000168210.00%01552000.4300000030
11Dillon FournierChicago Wolves (VAN)D6114822-638091105113375112.39%85119319.57415241721015155120.00%03172000.3700000310
12Lean BergmannChicago Wolves (VAN)C/LW/RW4991221-9440795111435727.89%2182516.8431418980113662153.83%4444023000.5100000211
13Mac BennettChicago Wolves (VAN)D3941418220039854926248.16%6085121.8424610940001103100.00%0341000.4200000021
14Matt FilipeChicago Wolves (VAN)C/LW486111738043316620299.09%1263613.27000020003441045.88%3402214000.5300000021
15Mattias BackmanChicago Wolves (VAN)D533131635001031076437374.69%110135025.49156131910001175010.00%0956000.2400000000
16Jordan SchmaltzChicago Wolves (VAN)D3728101024059826029223.33%3767218.16112870000271010.00%0339000.3000000010
17Todd BurgessChicago Wolves (VAN)C/RW52538-812041265921408.47%1457611.0900000000050043.02%861912000.2800000000
18Mathieu DesgagnésChicago Wolves (VAN)LW50268-196020276633433.03%959711.9500002000051020.69%29426000.2700000001
19Tyler SoyChicago Wolves (VAN)C66257-1512026275516443.64%145598.4810114000000043.65%3232913000.2500000000
20Alexis PepinChicago Wolves (VAN)LW473362601681741117.65%31733.6900014000000060.00%1043000.6900000000
21Mario FerraroVancouver CanucksD1414511002429187135.56%1131322.39101244000036100.00%0118000.3200000001
22Matthew CairnsChicago Wolves (VAN)D31055-612033402613110.00%3343013.9000000000034000.00%0127000.2300000000
23Connor CrispChicago Wolves (VAN)C/LW191230403360116.67%1502.6300000000000047.06%3401001.2000000000
24Ryan McLeodVancouver CanucksC/LW/RW3112-1003155220.00%14715.7210129000040027.27%11110000.8500000001
Stats d'équipe Total ou en Moyenne1190192310502-51511512971216202076311999.50%7171880715.80436911228519496612571608311349.08%3380904579220.53516000282726
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
1Jake AllenChicago Wolves (VAN)29151220.9152.6317110075880472200.5569290322
2Anton ForsbergChicago Wolves (VAN)187620.8903.389420053484259000.71471438021
3David RittichVancouver Canucks97110.9282.075210118250134000.000090102
4Brandon HalversonChicago Wolves (VAN)184900.8664.318220059440255410.00001428000
Stats d'équipe Total ou en Moyenne74332850.9003.0839970120520541120610.625166666445


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
Alexis PepinChicago Wolves (VAN)LW261995-01-22 10:06:36Yes245 Lbs6 ft3NoNoNo2Pro & Farm900,000$216,754$900,000$216,754$0$0$No900,000$
Anton ForsbergChicago Wolves (VAN)G301991-01-22 10:30:17No192 Lbs6 ft2NoNoNo2Pro & Farm1,900,000$457,592$1,900,000$457,592$0$0$No1,900,000$
Brandon HalversonChicago Wolves (VAN)G261995-01-02 03:15:52Yes209 Lbs6 ft4NoNoNo2Pro & Farm1,200,000$289,005$1,200,000$289,005$0$0$No1,200,000$
Carl KlingbergChicago Wolves (VAN)LW/RW311990-01-22 18:29:38No205 Lbs6 ft3NoNoNo1Pro & Farm1,900,000$457,592$1,900,000$457,592$0$0$No
Connor CrispChicago Wolves (VAN)C/LW281993-01-22 10:16:06No220 Lbs6 ft3NoNoNo1Pro & Farm725,000$174,607$725,000$174,607$0$0$No
Dillon FournierChicago Wolves (VAN)D281993-01-22 16:46:34No180 Lbs6 ft3YesNoNo3Pro & Farm1,500,000$361,257$1,500,000$361,257$0$0$No1,500,000$1,500,000$
Jake AllenChicago Wolves (VAN)G321989-01-22 12:38:40No190 Lbs6 ft2YesNoNo2Pro & Farm2,000,000$481,675$2,000,000$481,675$0$0$No2,000,000$
Jakub JerabekChicago Wolves (VAN)D311990-01-22 07:16:42No190 Lbs5 ft11NoNoNo2Pro & Farm1,100,000$264,921$1,100,000$264,921$0$0$No1,100,000$
James Van RiemsdykChicago Wolves (VAN)LW331988-01-22 06:29:38No200 Lbs6 ft3YesNoNo2Pro & Farm1,700,000$409,424$1,700,000$409,424$0$0$No1,700,000$
Jordan SchmaltzChicago Wolves (VAN)D291992-01-22 02:42:58No190 Lbs6 ft2NoNoNo2Pro & Farm875,000$210,733$875,000$210,733$0$0$No875,000$
Kelly KlimaChicago Wolves (VAN)RW251996-01-22 09:15:06Yes170 Lbs5 ft10NoNoNo2Pro & Farm900,000$216,754$900,000$216,754$0$0$No900,000$
Lean BergmannChicago Wolves (VAN)C/LW/RW241997-01-02 00:27:27Yes205 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$361,257$1,500,000$361,257$0$0$No
Mac BennettChicago Wolves (VAN)D311990-01-22 16:14:36No195 Lbs6 ft0NoNoNo2Pro & Farm700,000$168,586$700,000$168,586$0$0$No700,000$
Mathieu DesgagnésChicago Wolves (VAN)LW221999-01-02 23:35:33Yes179 Lbs5 ft8NoNoNo1Pro & Farm900,000$216,754$900,000$216,754$0$0$No
Matt FilipeChicago Wolves (VAN)C/LW251996-01-02 10:39:38Yes198 Lbs6 ft2NoNoNo1Pro & Farm800,000$192,670$800,000$192,670$0$0$No
Matthew CairnsChicago Wolves (VAN)D241997-01-22 15:39:52Yes203 Lbs6 ft2NoNoNo2Pro & Farm750,000$180,628$750,000$180,628$0$0$No750,000$
Mattias Backman (Sur la Masse Salariale)Chicago Wolves (VAN)D301991-01-22 04:13:58No170 Lbs6 ft2NoNoNo2Pro & Farm1,900,000$457,592$1,900,000$457,592$0$0$Yes1,900,000$
Mattias TedenbyChicago Wolves (VAN)LW/RW321989-01-22 12:29:38No175 Lbs5 ft10NoNoNo1Pro & Farm1,900,000$457,592$1,900,000$457,592$0$0$No
Nicklas JensenChicago Wolves (VAN)RW291992-01-22 03:01:01No202 Lbs6 ft3NoNoNo1Pro & Farm1,200,000$289,005$1,200,000$289,005$0$0$No
Nikolay ProkhorkinChicago Wolves (VAN)LW291992-01-22 17:44:09No195 Lbs6 ft1YesNoNo3Pro & Farm1,200,000$289,005$1,200,000$289,005$0$0$No1,200,000$1,200,000$
Quinton HowdenChicago Wolves (VAN)C/LW301991-01-22 12:57:41No183 Lbs6 ft3NoNoNo3Pro & Farm1,700,000$409,424$1,700,000$409,424$0$0$No1,700,000$1,700,000$
Ryan DzingelChicago Wolves (VAN)C/LW/RW301991-01-22 03:26:29No190 Lbs6 ft0YesNoNo3Pro & Farm1,000,000$240,838$1,000,000$240,838$0$0$No1,000,000$1,000,000$
Spencer SmallmanChicago Wolves (VAN)RW261995-01-02 10:46:18Yes198 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$240,838$1,000,000$240,838$0$0$No
Todd BurgessChicago Wolves (VAN)C/RW261995-01-02 02:27:28Yes179 Lbs6 ft2NoNoNo1Pro & Farm875,000$210,733$875,000$210,733$0$0$No
Trevor CarrickChicago Wolves (VAN)D281993-01-22 15:12:37No196 Lbs6 ft2NoNoNo2Pro & Farm1,100,000$264,921$1,100,000$264,921$0$0$No1,100,000$
Tyler SoyChicago Wolves (VAN)C251996-01-22 04:14:28Yes170 Lbs6 ft0NoNoNo2Pro & Farm950,000$228,796$950,000$228,796$0$0$No950,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2628.08193 Lbs6 ft11.811,237,500$



Attaque à 5 contre 5
Ligne # Ailier Gauche Centre Ailier Droit
1Mathieu DesgagnésLean BergmannNicklas Jensen
2James Van RiemsdykRyan DzingelCarl Klingberg
3Mattias TedenbyQuinton HowdenSpencer Smallman
4Nikolay ProkhorkinTodd BurgessRyan Dzingel
Défense à 5 contre 5
Ligne # Défense Défense
1Trevor CarrickMac Bennett
2Jordan SchmaltzDillon Fournier
3Jakub JerabekTodd Burgess
4Jordan SchmaltzMac Bennett
Attaque en Avantage Numérique
Ligne # Ailier Gauche Centre Ailier Droit
1Nikolay ProkhorkinQuinton HowdenNicklas Jensen
2James Van RiemsdykRyan DzingelCarl Klingberg
Défense en Avantage Numérique
Ligne # Défense Défense
1Trevor CarrickMac Bennett
2Jordan SchmaltzDillon Fournier
Attaque à 4 en Désavantage Numérique
Ligne # Centre Ailier
1Nikolay ProkhorkinJames Van Riemsdyk
2Quinton HowdenNicklas Jensen
Défense à 4 en Désavantage Numérique
Ligne # Défense Défense
1Jakub JerabekMac Bennett
2Jordan SchmaltzDillon Fournier
3 joueurs en Désavantage Numérique
Ligne # Ailier Défense Défense
1Nikolay ProkhorkinJakub JerabekMac Bennett
2James Van RiemsdykJordan SchmaltzDillon Fournier
Attaque à 4 contre 4
Ligne # Centre Ailier
1Nikolay ProkhorkinJames Van Riemsdyk
2Quinton HowdenNicklas Jensen
Défense à 4 contre 4
Ligne # Défense Défense
1Trevor CarrickMac Bennett
2Jordan SchmaltzDillon Fournier
Attaque Dernière Minute
Ailier Gauche Centre Ailier Droit Défense Défense
Nikolay ProkhorkinQuinton HowdenNicklas JensenTrevor CarrickMac Bennett
Défense Dernière Minute
Ailier Gauche Centre Ailier Droit Défense Défense
Nikolay ProkhorkinQuinton HowdenNicklas JensenTrevor CarrickMac Bennett
Attaquants Supplémentaires
Normal Avantage Numérique Désavantage Numérique
Tyler Soy, Alexis Pepin, Mattias TedenbyTyler Soy, Alexis PepinMattias Tedenby
Défenseurs Supplémentaires
Normal Avantage Numérique Désavantage Numérique
Jakub Jerabek, Jordan Schmaltz, Dillon FournierJakub JerabekJordan Schmaltz, Dillon Fournier
Tirs de Pénalité
Nikolay Prokhorkin, James Van Riemsdyk, Quinton Howden, Nicklas Jensen, Ryan Dzingel
Gardien
#1 : Jake Allen, #2 : Anton Forsberg, #3 : Brandon Halverson
Lignes d'Attaque Perso. en Prol.
Nikolay Prokhorkin, James Van Riemsdyk, Quinton Howden, Nicklas Jensen, Ryan Dzingel, Carl Klingberg, Carl Klingberg, Mattias Tedenby, Lean Bergmann, Spencer Smallman, Todd Burgess
Lignes de Défense Perso. en Prol.
Trevor Carrick, Mac Bennett, Jordan Schmaltz, Dillon Fournier, Jakub Jerabek


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 Phantoms10001000431100010004310000000000021.0004610007464561028713675697373816821300.00%40100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
2Albany Devils11000000431110000004310000000000021.00047110074645610327136756973729121221600.00%60100.00%1682136450.00%654132149.51%42083850.12%151897814845311000502
3Binghamton Senators623001001924-542100100151502020000049-550.417193554007464561017871367569737188714412221523.81%22577.27%0682136450.00%654132149.51%42083850.12%151897814845311000502
4Blainville-Boisbriand Armada20200000511-61010000027-51010000034-100.000591400746456106271367569737661812384125.00%6183.33%0682136450.00%654132149.51%42083850.12%151897814845311000502
5Bridgeport Sound Tigers1010000035-2000000000001010000035-200.0003580074645610377136756973730610295120.00%5180.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
6Charlotte Checkers2020000049-51010000013-21010000036-300.0004590074645610637136756973763610375240.00%5180.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
7Chicoutimi Saguenéens3210000011562200000011291010000003-340.66711182900746456109771367569737713428728225.00%14285.71%1682136450.00%654132149.51%42083850.12%151897814845311000502
8Chisinau Pelicans1010000012-11010000012-10000000000000.000123007464561036713675697373384156116.67%20100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
9Connecticut Whale1010000023-1000000000001010000023-100.00024600746456103071367569737311010145120.00%5340.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
10Gatineau Olympiques11000000312000000000001100000031221.0003580074645610437136756973723144196116.67%20100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
11Grand Rapids Griffins5310010014953200010011652110000033070.70014233701746456101457136756973713341341081815.56%17194.12%0682136450.00%654132149.51%42083850.12%151897814845311000502
12Henderson Silver Knights31200000813-51100000052320200000311-820.333812200074645610101713675697371063726688112.50%13376.92%1682136450.00%654132149.51%42083850.12%151897814845311000502
13Houston Aeros11000000615000000000001100000061521.00061117007464561028713675697372282321300.00%50100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
14Joliette Sportif2010001035-2100000103211010000003-320.50034700746456106371367569737631622475120.00%11372.73%0682136450.00%654132149.51%42083850.12%151897814845311000502
15Lake Erie Monsters633000001518-331200000813-53210000075260.50015294400746456101707136756973717170361132428.33%18383.33%0682136450.00%654132149.51%42083850.12%151897814845311000502
16Laval Chiefs22000000853110000004311100000042241.00081321007464561074713675697375326104315213.33%5260.00%1682136450.00%654132149.51%42083850.12%151897814845311000502
17Manitoba Moose2110000089-1110000006511010000024-220.500813210074645610737136756973767201843700.00%9188.89%0682136450.00%654132149.51%42083850.12%151897814845311000502
18Mercer Island Hafgufa2010000169-31010000024-21000000145-110.250681400746456106571367569737712618339444.44%9277.78%0682136450.00%654132149.51%42083850.12%151897814845311000502
19Milwaukee Admirals412010001114-31100000042230201000712-540.50011213200746456101327136756973711951286815320.00%14564.29%0682136450.00%654132149.51%42083850.12%151897814845311000502
20Norfolk Admirals1010000046-21010000046-20000000000000.00046101074645610327136756973740201016100.00%5340.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
21Nunavik Natturaliit31100001862210000017431010000012-130.500812200074645610997136756973710640265711545.45%13192.31%1682136450.00%654132149.51%42083850.12%151897814845311000502
22Oklahoma City Barons10001000211000000000001000100021121.000246007464561022713675697372351019200.00%50100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
23Providence Bruins10001000431000000000001000100043121.0004711007464561028713675697373115822300.00%40100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
24Roberval Dwarfs22000000725110000004131100000031241.0007132000746456105871367569737713410478337.50%50100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
25Rochester Americans11000000431000000000001100000043121.00046100074645610357136756973735818187228.57%9277.78%1682136450.00%654132149.51%42083850.12%151897814845311000502
26Rouyn-Noranda Huskies3110001012111210000109631010000035-240.66712193100746456101127136756973710137245511327.27%12466.67%0682136450.00%654132149.51%42083850.12%151897814845311000502
27San Antonio Rampage1010000012-1000000000001010000012-100.00012300746456104271367569737236628600.00%30100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
28Springfield Falcons10001000651000000000001000100065121.0006814007464561037713675697373611616200.00%30100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
29The Nuuk Vikings1000000123-11000000123-10000000000010.5002350074645610347136756973739132156116.67%10100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
Total66262805223201209-83216901222113100133410190400188109-21710.5382013375381174645610210671367569737205574651713162454417.96%2524681.75%6682136450.00%654132149.51%42083850.12%151897814845311000502
31Trois-Rivières Lions220000001064110000004311100000063341.0001016260074645610617136756973769321639100.00%8275.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
32Verdun Junior20200000310-71010000025-31010000015-400.00035800746456106271367569737702216321119.09%8187.50%0682136450.00%654132149.51%42083850.12%151897814845311000502
33Wilkes-Barre/Scranton Penguins11000000321000000000001100000032121.0003690074645610277136756973734138203133.33%40100.00%0682136450.00%654132149.51%42083850.12%151897814845311000502
_Since Last GM Reset66262805223201209-83216901222113100133410190400188109-21710.5382013375381174645610210671367569737205574651713162454417.96%2524681.75%6682136450.00%654132149.51%42083850.12%151897814845311000502
_Vs Conference452018012221321320251360022287741320712010004558-13500.556132227359017464561014267136756973713765273168901703218.82%1583081.01%3682136450.00%654132149.51%42083850.12%151897814845311000502
_Vs Division1799012006051996300200382711836010002224-2220.64760103163107464561053171367569737528220140364551221.82%701480.00%2682136450.00%654132149.51%42083850.12%151897814845311000502

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6671W220133753821062055746517131611
Tous les Matchs
GPWLOTWOTL SOWSOL GFGA
6626285223201209
Matchs locaux
GPWLOTWOTL SOWSOL GFGA
321691222113100
Matchs Éxtérieurs
GPWLOTWOTL SOWSOL GFGA
341019400188109
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2454417.96%2524681.75%6
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
7136756973774645610
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
682136450.00%654132149.51%42083850.12%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
151897814845311000502


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 - 2022-09-0719Nunavik Natturaliit2Chicago Wolves6WSommaire du Match
5 - 2022-09-0932Chicago Wolves1Grand Rapids Griffins0WSommaire du Match
7 - 2022-09-1149Binghamton Senators1Chicago Wolves4WSommaire du Match
9 - 2022-09-1367Chicago Wolves2Oklahoma City Barons1WXSommaire du Match
11 - 2022-09-1576Lake Erie Monsters2Chicago Wolves4WSommaire du Match
15 - 2022-09-19102Grand Rapids Griffins4Chicago Wolves3LXSommaire du Match
19 - 2022-09-23126Chicago Wolves3Lake Erie Monsters2WSommaire du Match
20 - 2022-09-24140Binghamton Senators5Chicago Wolves2LSommaire du Match
22 - 2022-09-26160Chicago Wolves3Milwaukee Admirals2WXSommaire du Match
24 - 2022-09-28172Chicago Wolves2Grand Rapids Griffins3LSommaire du Match
26 - 2022-09-30180Rouyn-Noranda Huskies1Chicago Wolves2WXXSommaire du Match
29 - 2022-10-03202Lake Erie Monsters5Chicago Wolves2LSommaire du Match
33 - 2022-10-07223Chicago Wolves2Binghamton Senators4LSommaire du Match
34 - 2022-10-08239Binghamton Senators7Chicago Wolves6LXSommaire du Match
38 - 2022-10-12268Chicoutimi Saguenéens1Chicago Wolves7WSommaire du Match
40 - 2022-10-14286Chicago Wolves0Joliette Sportif3LSommaire du Match
41 - 2022-10-15297Chicago Wolves1Verdun Junior5LSommaire du Match
43 - 2022-10-17310Verdun Junior5Chicago Wolves2LSommaire du Match
46 - 2022-10-20331Rouyn-Noranda Huskies5Chicago Wolves7WSommaire du Match
47 - 2022-10-21347Chicago Wolves2Connecticut Whale3LSommaire du Match
49 - 2022-10-23361Chicago Wolves6Trois-Rivières Lions3WSommaire du Match
50 - 2022-10-24374Manitoba Moose5Chicago Wolves6WSommaire du Match
53 - 2022-10-27390Chicago Wolves1Nunavik Natturaliit2LSommaire du Match
55 - 2022-10-29405Henderson Silver Knights2Chicago Wolves5WSommaire du Match
57 - 2022-10-31420Chicago Wolves4Rochester Americans3WSommaire du Match
59 - 2022-11-02438Chicago Wolves0Chicoutimi Saguenéens3LSommaire du Match
61 - 2022-11-04445Lake Erie Monsters6Chicago Wolves2LSommaire du Match
64 - 2022-11-07472Albany Devils3Chicago Wolves4WSommaire du Match
66 - 2022-11-09488Chicago Wolves4Mercer Island Hafgufa5LXXSommaire du Match
67 - 2022-11-10499Chicago Wolves2Henderson Silver Knights5LSommaire du Match
70 - 2022-11-13509Adirondack Phantoms3Chicago Wolves4WXSommaire du Match
74 - 2022-11-17531Chicago Wolves4Laval Chiefs2WSommaire du Match
76 - 2022-11-19542Nunavik Natturaliit2Chicago Wolves1LXXSommaire du Match
79 - 2022-11-22564Chicago Wolves3Gatineau Olympiques1WSommaire du Match
80 - 2022-11-23575Laval Chiefs3Chicago Wolves4WSommaire du Match
84 - 2022-11-27598Chicago Wolves3Charlotte Checkers6LSommaire du Match
85 - 2022-11-28607Blainville-Boisbriand Armada7Chicago Wolves2LSommaire du Match
87 - 2022-11-30628Chicago Wolves2Milwaukee Admirals3LSommaire du Match
89 - 2022-12-02644Trois-Rivières Lions3Chicago Wolves4WSommaire du Match
90 - 2022-12-03658Chicago Wolves3Bridgeport Sound Tigers5LSommaire du Match
93 - 2022-12-06673Norfolk Admirals6Chicago Wolves4LSommaire du Match
95 - 2022-12-08689Chicago Wolves3Lake Erie Monsters1WSommaire du Match
98 - 2022-12-11708Roberval Dwarfs1Chicago Wolves4WSommaire du Match
100 - 2022-12-13723Chicago Wolves3Roberval Dwarfs1WSommaire du Match
102 - 2022-12-15734Chicago Wolves6Houston Aeros1WSommaire du Match
104 - 2022-12-17745Chicoutimi Saguenéens1Chicago Wolves4WSommaire du Match
107 - 2022-12-20773Grand Rapids Griffins1Chicago Wolves5WSommaire du Match
109 - 2022-12-22785Chicago Wolves4Providence Bruins3WXSommaire du Match
112 - 2022-12-25804Mercer Island Hafgufa4Chicago Wolves2LSommaire du Match
114 - 2022-12-27822Chicago Wolves3Wilkes-Barre/Scranton Penguins2WSommaire du Match
115 - 2022-12-28838The Nuuk Vikings3Chicago Wolves2LXXSommaire du Match
116 - 2022-12-29854Chicago Wolves1Lake Erie Monsters2LSommaire du Match
118 - 2022-12-31867Chicago Wolves1Henderson Silver Knights6LSommaire du Match
121 - 2023-01-03877Charlotte Checkers3Chicago Wolves1LSommaire du Match
122 - 2023-01-04899Chicago Wolves6Springfield Falcons5WXSommaire du Match
124 - 2023-01-06908Binghamton Senators2Chicago Wolves3WSommaire du Match
126 - 2023-01-08924Chicago Wolves2Milwaukee Admirals7LSommaire du Match
127 - 2023-01-09938Chicago Wolves3Rouyn-Noranda Huskies5LSommaire du Match
130 - 2023-01-12949Grand Rapids Griffins1Chicago Wolves3WSommaire du Match
132 - 2023-01-14971Chisinau Pelicans2Chicago Wolves1LSommaire du Match
134 - 2023-01-16980Chicago Wolves2Binghamton Senators5LSommaire du Match
136 - 2023-01-18994Chicago Wolves1San Antonio Rampage2LSommaire du Match
138 - 2023-01-201004Chicago Wolves3Blainville-Boisbriand Armada4LSommaire du Match
141 - 2023-01-231020Chicago Wolves2Manitoba Moose4LSommaire du Match
142 - 2023-01-241026Joliette Sportif2Chicago Wolves3WXXSommaire du Match
145 - 2023-01-271052Milwaukee Admirals2Chicago Wolves4WSommaire du Match
146 - 2023-01-281063Chicago Wolves-Mercer Island Hafgufa-
149 - 2023-01-311082Chicago Wolves-The Nuuk Vikings-
150 - 2023-02-011093Wilkes-Barre/Scranton Penguins-Chicago Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
153 - 2023-02-041115Nunavik Natturaliit-Chicago Wolves-
155 - 2023-02-061140Milwaukee Admirals-Chicago Wolves-
157 - 2023-02-081148Chicago Wolves-The Nuuk Vikings-
160 - 2023-02-111173Chicago Wolves-Chisinau Pelicans-
162 - 2023-02-131182Gatineau Olympiques-Chicago Wolves-
165 - 2023-02-161208Chicago Wolves-Binghamton Senators-
166 - 2023-02-171219Houston Aeros-Chicago Wolves-
168 - 2023-02-191240Chicago Wolves-Grand Rapids Griffins-
170 - 2023-02-211253San Antonio Rampage-Chicago Wolves-
175 - 2023-02-261274Chicago Wolves-Grand Rapids Griffins-
176 - 2023-02-271287San Antonio Rampage-Chicago Wolves-
183 - 2023-03-061317The Nuuk Vikings-Chicago Wolves-
189 - 2023-03-121346Chisinau Pelicans-Chicago Wolves-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance64,00032,000
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
9 3000 - 100.00% 100,000$3,200,000$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,137,257$ 3,217,500$ 3,217,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
15,851$ 2,373,936$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la Saison Dépenses Par JourDépenses de la Saison Éstimées
900,000$ 46 22,081$ 1,015,726$




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