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Chicago Wolves
GP: 10 | W: 5 | L: 5
GF: 36 | GA: 37 | PP%: 14.89% | PK%: 75.00%
DG: Simon | Morale : 36 | Moyenne d’équipe : 60
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Centre de jeu
Ontario Reign
15-9-0, 30pts
4
FINAL
0 Chicago Wolves
5-5-0, 10pts
Team Stats
L3SéquenceL4
6-6-0Fiche domicile1-3-0
9-3-0Fiche domicile4-2-0
6-4-0Derniers 10 matchs5-5-0
3.79Buts par match 3.60
3.04Buts contre par match 3.70
28.42%Pourcentage en avantage numérique14.89%
86.67%Pourcentage en désavantage numérique75.00%
Chicago Wolves
5-5-0, 10pts
1
FINAL
3 Ontario Reign
15-9-0, 30pts
Team Stats
L4SéquenceL3
1-3-0Fiche domicile6-6-0
4-2-0Fiche domicile9-3-0
5-5-0Derniers 10 matchs6-4-0
3.60Buts par match 3.79
3.70Buts contre par match 3.04
14.89%Pourcentage en avantage numérique28.42%
75.00%Pourcentage en désavantage numérique86.67%
Meneurs d'équipe
Buts
Max Comtois
10
Passes
Chris Terry
10
Points
Max Comtois
15
Plus/Moins
Max Comtois
6
Victoires
Antti Raanta
5
Pourcentage d’arrêts
Antti Raanta
0.919

Statistiques d’équipe
Buts pour
36
3.60 GFG
Tirs pour
512
51.20 Avg
Pourcentage en avantage numérique
14.9%
7 GF
Début de zone offensive
40.9%
Buts contre
37
3.70 GAA
Tirs contre
452
45.20 Avg
Pourcentage en désavantage numérique
75.0%%
8 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généralSimon
EntraîneurBob Jones
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison0


Informations de la formation

Équipe Pro40
Équipe Mineure18
Limite contact 58 / 70
Espoirs28


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
1Max Comtois0XX100.00737080638268826263716468586058049670251775,000$
2Chris Terry0X100.00565963666366656655636460557665052640351775,000$
3Rocco Grimaldi0XX100.00556166645666656555616561576961052630311775,000$
4Cole Schneider0XXX100.00545867626568656255596362567464052620341775,000$
5Jack Drury0X100.006251716462636259736359655556550526202431,250,000$
6Josh Melnick0X100.00545967585967645970575962546559052600291775,000$
7Noel Gunler0XX100.00606060606060606060606060606060052600231775,000$
8Peter Abbandonato0X100.00545667606265636170605761546056052600261775,000$
9Blake Murray0XXX100.00606060606060606060606060606060052600231775,000$
10Alexander Pashin (R)0XX100.00606060606060606060606060606060050600221775,000$
11Justin Robidas (R)0X100.00606060606060606060606060606060052600211775,000$
12Felix Unger Sorum (R)0XX100.00606060606060606060606060606060052600191775,000$
13Jalen Chatfield0X100.006561776470677457406660785459580486602821,750,000$
14Anttoni Honka0X100.00606060606060606060606060606060052600241775,000$
15Aleksi Heimosalmi0X100.00606060606060606060606060606060052600211775,000$
16Tory Dello0X100.00555565576363625640565664546257052590271775,000$
17Austin Strand0X100.00565365587064625540565557546257052580271775,000$
18Mitchell Vande Sompel0X100.00555565576263625740575661556257052580271775,000$
Rayé
1Tuukka Tieksola0XX100.00606060606060606060606060606060026600231775,000$
2Ville Koivunen (R)0XXX100.00606060606060606060606060606060026600211775,000$
3Hudson Elynuik0X100.00575663576863625755565661546257026590271775,000$
4Vasili Ponomaryov0X100.00555567595963626070576159545352026590221775,000$
5Dominic Franco0X100.00565465567262615570555560546358026580281775,000$
6Isaac Ratcliffe0XXX100.00565563586964635755575659545855026580251775,000$
7Kyle Marino0X100.00585461567162625555545558546559026580291775,000$
8Ryan Wagner0XXX100.00555965595866645755565661546358026580281775,000$
9Nate Sucese0XXX100.00525463565464625552535555516155026560281775,000$
10Nathan Sucese0X100.00515264535459575252525259515954026540281775,000$
11Cory Conacher0XX100.00525465525554545352525357517262026540351775,000$
12Hank Crone0XXX100.00515165515251515152515157515853026520261775,000$
13Alex Green0X100.00565465576564625640565461546056026580261775,000$
14Cavan Fitzgerald0X100.00555467576461605640565562546358026580281775,000$
15Matt Donovan0X100.00535561586465635738565358516960026580341775,000$
16Owen Headrick0X100.00545468546354545440545461546257026560271775,000$
17Ronan Seeley0X100.00515264566065625538555354515149026550221775,000$
18Tyson Feist0X100.00515165515852525138515157515250026530231775,000$
MOYENNE D’ÉQUIPE100.0057576558626262585458576155625803959
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 SPÂgeContratSalaire moyen
1Antti Raanta0100.00877173748175847584788267600487803513,200,000$
2Spencer Martin0100.00596666756766705868627462570586502922,150,000$
Rayé
1Keith Kinkaid0100.0061626270665866635960577866038630351775,000$
2Adam Scheel0100.0056575672595462566761645854038600251775,000$
MOYENNE D’ÉQUIPE100.006664647368637163706569665904667
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Jones73646463787272CAN527500,000$


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
1Max ComtoisChicago Wolves (CAR)LW/RW1010515620282375134913.33%724724.7310110401014241047.69%6500011.2100000110
2Chris TerryChicago Wolves (CAR)C101101162012414511402.22%324724.7102214390002240052.80%32200000.8900000011
3Jalen ChatfieldChicago Wolves (CAR)D10191056018213715252.70%1424224.251231939011023000%000000.8200000101
4Cole SchneiderChicago Wolves (CAR)C/LW/RW10459-20011314512368.89%122222.2512312361016263043.03%33000000.8100000100
5Rocco GrimaldiChicago Wolves (CAR)LW/RW10459620141232143112.50%321021.011127400112240040.98%6100000.8600000001
6Austin StrandChicago Wolves (CAR)D10246-280225152513.33%916516.5001112000112000%000000.7300000001
7Noel GunlerChicago Wolves (CAR)LW/RW10336-32028115210175.77%319519.531341335000010054.55%2200000.6100000010
8Felix Unger SorumChicago Wolves (CAR)LW/RW10246-3402584010345.00%219319.381231035000000030.77%1300000.6200000010
9Anttoni HonkaChicago Wolves (CAR)D10145-2803013205145.00%1621921.980111137000022000%000000.4500000000
10Tory DelloChicago Wolves (CAR)D10123-3120187144207.14%1721921.95000637000019010%000000.2700000000
11Blake MurrayChicago Wolves (CAR)C/LW/RW10123-3121016123511212.86%414814.8500011000000071.43%700000.4000110000
12Alexander PashinChicago Wolves (CAR)LW/RW10213-4551111245168.33%014814.8300000000000060.00%1500000.4000001000
13Aleksi HeimosalmiChicago Wolves (CAR)D10213520194225119.09%1724024.05000838000024100%000000.2500000000
14Mitchell Vande SompelChicago Wolves (CAR)D10112-360141194411.11%1715915.930002300003000%000000.2500000000
15Jack DruryChicago Wolves (CAR)C10011-48011353811250%215415.4200000000040053.88%21900000.1300000000
16Josh MelnickChicago Wolves (CAR)C10011000087230%0373.7900000000000043.84%7300000.5300000000
17Peter AbbandonatoChicago Wolves (CAR)C10101-1001020050.00%060.661012400000000%200003.0300000000
18Justin RobidasChicago Wolves (CAR)C10000000000000%040.430000300000000%00000000000000
Statistiques d’équipe totales ou en moyenne180365894-279152782535121343517.03%115306217.0271421116395224152115148.54%112900010.6100111344
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
1Antti RaantaChicago Wolves (CAR)105400.9193.57571203442102000100211
2Spencer MartinChicago Wolves (CAR)10100.9033.53510033100000010000
Statistiques d’équipe totales ou en moyenne115500.9183.56623203745202001010211


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam ScheelChicago Wolves (CAR)G2501.05.1999No86 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Aleksi HeimosalmiChicago Wolves (CAR)D2108.05.2003No77 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Alex GreenChicago Wolves (CAR)D2618.06.1998No89 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Alexander PashinChicago Wolves (CAR)LW/RW2228.07.2002Yes70 Kg173 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Antti RaantaChicago Wolves (CAR)G3512.05.1989No89 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm3,200,000$3,200,000$0$0$No------------------Lien
Anttoni HonkaChicago Wolves (CAR)D2405.10.2000No82 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Austin StrandChicago Wolves (CAR)D2717.02.1997No98 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Blake MurrayChicago Wolves (CAR)C/LW/RW2305.07.2001No85 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Cavan FitzgeraldChicago Wolves (CAR)D2823.08.1996No91 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Chris TerryChicago Wolves (CAR)C3507.04.1989No92 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Cole SchneiderChicago Wolves (CAR)C/LW/RW3426.08.1990No90 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Cory ConacherChicago Wolves (CAR)LW/RW3514.12.1989No82 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Dominic FrancoChicago Wolves (CAR)C2807.01.1996No99 Kg196 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Felix Unger SorumChicago Wolves (CAR)LW/RW1914.09.2005Yes77 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Hank CroneChicago Wolves (CAR)C/LW/RW2619.02.1998No74 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Hudson ElynuikChicago Wolves (CAR)C2712.10.1997No94 Kg196 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Isaac RatcliffeChicago Wolves (CAR)C/LW/RW2515.02.1999No91 Kg198 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Jack DruryChicago Wolves (CAR)C2403.02.2000No79 Kg180 CMNoNoN/ANoNo3FalseFalsePro & Farm1,250,000$1,250,000$0$0$No1,250,000$1,250,000$-------NoNo-------Lien
Jalen ChatfieldChicago Wolves (CAR)D2815.05.1996No85 Kg185 CMNoNoN/ANoNo2FalseFalsePro & Farm1,750,000$1,750,000$0$0$No1,750,000$--------No--------Lien / Lien NHL
Josh MelnickChicago Wolves (CAR)C2910.07.1995No82 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Justin RobidasChicago Wolves (CAR)C2113.03.2003Yes80 Kg173 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Keith KinkaidChicago Wolves (CAR)G3504.07.1989No89 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Kyle MarinoChicago Wolves (CAR)C2901.06.1995No100 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Matt DonovanChicago Wolves (CAR)D3409.05.1990No93 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Max ComtoisChicago Wolves (CAR)LW/RW2508.01.1999No95 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Mitchell Vande SompelChicago Wolves (CAR)D2711.02.1997No86 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Nate SuceseChicago Wolves (CAR)C/LW/RW2812.07.1996No79 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Nathan SuceseChicago Wolves (CAR)C2812.07.1996No79 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Noel GunlerChicago Wolves (CAR)LW/RW2307.10.2001No80 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Owen HeadrickChicago Wolves (CAR)D2723.08.1997No88 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Peter AbbandonatoChicago Wolves (CAR)C2625.03.1998No87 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Rocco GrimaldiChicago Wolves (CAR)LW/RW3108.02.1993No81 Kg168 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Ronan SeeleyChicago Wolves (CAR)D2202.08.2002No87 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Ryan WagnerChicago Wolves (CAR)C/LW/RW2815.04.1996No84 Kg173 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Spencer MartinChicago Wolves (CAR)G2908.06.1995No87 Kg191 CMNoNoN/ANoNo2FalseFalsePro & Farm2,150,000$2,150,000$0$0$No2,150,000$--------No--------Lien / Lien NHL
Tory DelloChicago Wolves (CAR)D2714.02.1997No88 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Tuukka TieksolaChicago Wolves (CAR)LW/RW2322.06.2001No79 Kg180 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Tyson FeistChicago Wolves (CAR)D2314.01.2001No82 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Vasili PonomaryovChicago Wolves (CAR)C2213.03.2002No82 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Ville KoivunenChicago Wolves (CAR)C/LW/RW2113.06.2003Yes78 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4026.7585 Kg183 CM1.10906,250$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max ComtoisChris TerryRocco Grimaldi33122
2Felix Unger SorumCole SchneiderNoel Gunler30122
3Blake MurrayJack DruryAlexander Pashin25122
4Max ComtoisJosh MelnickChris Terry12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldAleksi Heimosalmi33122
2Anttoni HonkaTory Dello30122
3Mitchell Vande SompelAustin Strand25122
4Jalen ChatfieldAleksi Heimosalmi12122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max ComtoisChris TerryRocco Grimaldi50122
2Felix Unger SorumCole SchneiderNoel Gunler50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldAleksi Heimosalmi50122
2Anttoni HonkaTory Dello50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Max ComtoisChris Terry50122
2Rocco GrimaldiCole Schneider50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldAleksi Heimosalmi50122
2Anttoni HonkaTory Dello50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Max Comtois50122Jalen ChatfieldAleksi Heimosalmi50122
2Chris Terry50122Anttoni HonkaTory Dello50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Max ComtoisChris Terry50122
2Rocco GrimaldiCole Schneider50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldAleksi Heimosalmi50122
2Anttoni HonkaTory Dello50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max ComtoisChris TerryRocco GrimaldiJalen ChatfieldAleksi Heimosalmi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max ComtoisChris TerryRocco GrimaldiJalen ChatfieldAleksi Heimosalmi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Peter Abbandonato, Justin Robidas, Jack DruryPeter Abbandonato, Justin RobidasJack Drury
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mitchell Vande Sompel, Austin Strand, Anttoni HonkaMitchell Vande SompelAustin Strand, Anttoni Honka
Tirs de pénalité
Max Comtois, Chris Terry, Rocco Grimaldi, Cole Schneider, Jack Drury
Gardien
#1 : Antti Raanta, #2 : Spencer Martin
Lignes d’attaque personnalisées en prolongation
Max Comtois, Chris Terry, Rocco Grimaldi, Cole Schneider, Jack Drury, Felix Unger Sorum, Felix Unger Sorum, Josh Melnick, Noel Gunler, Peter Abbandonato, Blake Murray
Lignes de défense personnalisées en prolongation
Jalen Chatfield, Aleksi Heimosalmi, Anttoni Honka, Tory Dello, Mitchell Vande Sompel


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
TotalDomicileVisiteur
# 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
1Grand Rapids Griffins541000002618821100000129333000000149580.8002642680091313127714117517224236552513423730.43%10190.00%222846249.35%21746546.67%10320250.99%2451662418213769
2Ontario Reign514000001019-920200000210-83120000089-120.200101626009131312351411751722421660561442400.00%22768.18%022846249.35%21746546.67%10320250.99%2451662418213769
Total1055000003637-1413000001419-56420000022184100.50036589400913131512141175172244521158127847714.89%32875.00%222846249.35%21746546.67%10320250.99%2451662418213769
_Since Last GM Reset1055000003637-1413000001419-56420000022184100.50036589400913131512141175172244521158127847714.89%32875.00%222846249.35%21746546.67%10320250.99%2451662418213769
_Vs Conference1055000003637-1413000001419-56420000022184100.50036589400913131512141175172244521158127847714.89%32875.00%222846249.35%21746546.67%10320250.99%2451662418213769

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1010L43658945124521158127800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
105500003637
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001419
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
64200002218
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
47714.89%32875.00%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
14117517224913131
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
22846249.35%21746546.67%10320250.99%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2451662418213769


Derniers matchs 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
26Chicago Wolves6Grand Rapids Griffins3WSommaire du match
414Chicago Wolves3Grand Rapids Griffins2WSommaire du match
622Grand Rapids Griffins7Chicago Wolves5LSommaire du match
830Grand Rapids Griffins2Chicago Wolves7WSommaire du match
1038Chicago Wolves5Grand Rapids Griffins4WXSommaire du match
1660Chicago Wolves4Ontario Reign1WSommaire du match
1864Chicago Wolves3Ontario Reign5LSommaire du match
2068Ontario Reign6Chicago Wolves2LSommaire du match
2272Ontario Reign4Chicago Wolves0LSommaire du match
2476Chicago Wolves1Ontario Reign3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance8,0004,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 3000 - 100.00% 85,000$340,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,625,000$ 3,625,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Chicago Wolves Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Chicago Wolves Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Chicago Wolves Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Chicago Wolves Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Chicago Wolves Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA