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Connexion

Stars
GP: 12 | W: 5 | L: 6 | OTL: 1 | P: 11
GF: 31 | GA: 38 | PP%: 21.95% | PK%: 78.85%
DG: Eric Turcotte | Morale : 70 | Moyenne d’équipe : 65
Prochains matchs #191 vs IceHogs

Centre de jeu
Wild
7-4-2, 16pts
1
2 Stars
5-6-1, 11pts
Team Stats
OTL1SéquenceW2
4-0-2Fiche domicile4-1-0
3-4-0Fiche domicile1-5-1
5-3-2Derniers 10 matchs5-5-0
2.77Buts par match 2.58
2.62Buts contre par match 3.17
16.67%Pourcentage en avantage numérique21.95%
84.62%Pourcentage en désavantage numérique78.85%
Stars
5-6-1, 11pts
3
2 Roadrunners
3-8-1, 7pts
Team Stats
W2SéquenceW1
4-1-0Fiche domicile1-4-1
1-5-1Fiche domicile2-4-0
5-5-0Derniers 10 matchs3-6-1
2.58Buts par match 2.75
3.17Buts contre par match 3.58
21.95%Pourcentage en avantage numérique11.11%
78.85%Pourcentage en désavantage numérique64.86%
IceHogs
6-6-0, 12pts
Jour 28
Stars
5-6-1, 11pts
Statistiques d’équipe
L2SéquenceW2
4-2-0Fiche domicile4-1-0
2-4-0Fiche visiteur1-5-1
5-5-010 derniers matchs5-5-0
2.75Buts par match 2.58
3.33Buts contre par match 2.58
15.38%Pourcentage en avantage numérique21.95%
78.95%Pourcentage en désavantage numérique78.85%
Wranglers
8-4-0, 16pts
Jour 30
Stars
5-6-1, 11pts
Statistiques d’équipe
L1SéquenceW2
5-1-0Fiche domicile4-1-0
3-3-0Fiche visiteur1-5-1
6-4-010 derniers matchs5-5-0
3.08Buts par match 2.58
2.67Buts contre par match 2.58
20.93%Pourcentage en avantage numérique21.95%
82.22%Pourcentage en désavantage numérique78.85%
Stars
5-6-1, 11pts
Jour 33
Senators
8-3-1, 17pts
Statistiques d’équipe
W2SéquenceW1
4-1-0Fiche domicile4-1-1
1-5-1Fiche visiteur4-2-0
5-5-010 derniers matchs7-2-1
2.58Buts par match 3.00
3.17Buts contre par match 3.00
21.95%Pourcentage en avantage numérique20.93%
78.85%Pourcentage en désavantage numérique84.00%
Meneurs d'équipe
Buts
Brandon Buhr
8
Passes
Marian Studenic
6
Points
Brandon Buhr
10
Plus/Moins
Brandon Buhr
3
Victoires
Jacob Fowler
3
Pourcentage d’arrêts
Jacob Fowler
0.907

Statistiques d’équipe
Buts pour
31
2.58 GFG
Tirs pour
282
23.50 Avg
Pourcentage en avantage numérique
22.0%
9 GF
Début de zone offensive
37.7%
Buts contre
38
3.17 GAA
Tirs contre
320
26.67 Avg
Pourcentage en désavantage numérique
78.8%%
11 GA
Début de la zone défensive
41.9%
Informations de l'équipe

Directeur généralEric Turcotte
EntraîneurDave Hakstol
DivisionCentral
ConférenceConference Ouest
CapitaineJiri Kulich
Assistant #1Mavrik Bourque
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite Contrat48 / 99
Espoirs38


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
1Jiri Kulich (R) (C)0XXX100.0062349270739083697164716668636678706802231,892,000$
2Mavrik Bourque (R) (A)0X100.0060359467729287697870666666666875706802431,984,000$
3Marian Studenic0XX100.0052289769737579636062636964767843706502721,215,000$
4Brandon Buhr (R)0XXX100.006235716463677172467476597255598270650242900,000$
5Andre Lee0XX100.0085808267877482605460586757686864706502631,443,000$
6Dylan Roobroeck0XX100.008679846793808858745561665660606570650222900,000$
7Carson Meyer18X100.00603983646984756359626160636971707063N02931,100,000$
8Henrik Rybinski0XXX100.005832686762717463576762666466687470630251900,000$
9Eric Turcotte0XXX100.00767156657966706459646460606464767063N1342975,000$
10Brendan Gaunce0XX100.0048209961797291577356576969737660706303221,135,000$
11Judd Caulfield0XX100.0079799065817484585557576759666664706302531,306,000$
12Rhett Gardner0XX100.0073387055836178597162586862787552706303021,535,000$
13Nick Perbix0X100.0082518864787291662567527625646561706902832,156,000$
14Jordan Spence0X100.0075399966718686693062577552606982706902522,088,000$
15Marshall Rifai0X100.0098685868737487492555537154716664706702821,530,000$
16Zac Jones0X100.0046239969717980763082636452696958706702611,459,000$
17Christian Kyrou (R)0X100.006030826858778164457357675664667570650232900,000$
18Maksymilian Szuber0X100.008179746478667251255852705763616570640241900,000$
Rayé
1Ryan Tattle0XXX100.006040706560687366467662705857587370640251900,000$
2Michael Milne (R)0XX100.006259996673658260546060646063646670620241895,000$
3Carson Gicewicz0X100.008179846279577652645555625973714670600292975,000$
4Alex Krause0XXX100.00593374626067735745655569505758697060N0255700,000$
5Patrick Bajkov0XX100.005749996673496358465461625460604470590282966,000$
6Turner Ottenbreit0X100.0074407267765978543059536860716845706402921,500,000$
7Ryan Jones0X100.0056219666756780523053486645737346706203021,317,000$
8Zach Metsa0X100.00665998627255744930504767527372497061N02831,000,000$
9Colin Swoyer0X100.0064589968725169503056466759737146706102821,200,000$
MOYENNE D’ÉQUIPE100.00674884657370796049625867586667637064
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
1Brandon Bussi0100.006676738173848583847577757853707702832,777,500$
2Jacob Fowler (R)098.00737171817371727475696866668270710213900,000$
Rayé
1Owen Say0100.0072707080727272717169676866777070N02551,430,000$
MOYENNE D’ÉQUIPE99.3370727181737676767771717070717073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Hakstol82928993999967USA582500,000$


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
1Brandon BuhrStars (DAL)C/LW/RW1282103008152951327.59%123219.352139360000331044.44%1800000.8600000101
2Marian StudenicStars (DAL)LW/RW12268100119248178.33%423119.311233390002270054.55%2200000.6900000010
3Jordan SpenceStars (DAL)D12167-300416177125.88%2428023.41123937000043000%000000.5000000000
4Dylan RoobroeckStars (DAL)C/LW1242624017121951521.05%219716.48202334000181053.70%5400000.6100000020
5Marshall RifaiStars (DAL)D121451200461073514.29%520517.15000012000013000%000000.4900000100
6Austin WatsonStarsC/LW/RW7145-21203613100810.00%114320.470334210000270142.11%19000000.7011000100
7Henrik RybinskiStars (DAL)C/LW/RW12325-22010122651211.54%115613.05000000001141038.89%1800000.6400000010
8Christian KyrouStars (DAL)D12145200710102410.00%1821417.88112619000019010%000000.4700000100
9Andre LeeStars (DAL)C/LW120550751320178140%321517.930117340001310047.22%10800000.4601001002
10Ryan TattleStars (DAL)C/LW/RW7325-26054951233.33%210114.50112110000070126.09%2300000.9900000100
11Zac JonesStars (DAL)D12044-300498360%424920.77022434000033000%000000.3200000000
12Jiri KulichStars (DAL)C/LW/RW52241001121571113.33%110320.711123150001141051.69%11800000.7700000000
13Nick PerbixStars (DAL)D12044-42002517156100%1425121.000221232000033000%000000.3200000001
14Eric TurcotteStars (DAL)C/LW/RW1212301201611661116.67%016213.5600008000020050.00%1200000.3700000000
15Brendan GaunceStars (DAL)C/LW12123-30001914267.14%114311.9900003000000048.68%15200000.4200000010
16Mavrik BourqueStars (DAL)C5202-20018121916.67%08617.24000115000001061.11%9000000.4600000001
17Curtis McKenzieStarsLW/D7022-22002569230%414921.38011313000020000%000000.2701000000
18Maksymilian SzuberStars (DAL)D5011020142130%59218.4100000000010000%000000.2200000000
19Judd CaulfieldStars (DAL)LW/RW12101-3205711499.09%1998.2600001000000166.67%300000.2000000010
20Rhett GardnerStars (DAL)C/LW12011-320101213250%4988.1800000000000050.00%10400000.2000000000
21Michael MilneStars (DAL)LW/RW3000000101000%182.8400001000040060.00%50000000000000
22Carson MeyerStars (DAL)RW12000-320078560%0988.2300001000000066.67%30000000000000
Statistiques d’équipe totales ou en moyenne219315586-2211152362432828719110.99%96352316.09917266537600063445448.70%92000000.4913001565
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
1Jacob FowlerStars (DAL)63300.9072.5135900151620210066100
2Brandon BussiStars (DAL)62310.8663.4436620211570100.333366000
Statistiques d’équipe totales ou en moyenne125610.8872.98725203631903131212100


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Alex KrauseStars (DAL)C/LW/RW252001-07-22USANo190 Lbs6 ft1YesNoFree AgentNoNo52026-08-29FalseFalsePro & Farm700,000$0$0$No700,000$700,000$700,000$700,000$-----700,000$700,000$700,000$700,000$-----YesYesYesYes-----
Andre LeeStars (DAL)C/LW262000-07-26SWENo208 Lbs6 ft4NoNoFree AgentNoNo32026-05-31FalseFalsePro & Farm1,443,000$0$0$No1,443,000$1,443,000$-------1,443,000$1,443,000$-------NoNo-------
Brandon BuhrStars (DAL)C/LW/RW242002-07-07CANYes205 Lbs6 ft2NoNoFree AgentNoNo22026-06-19FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Brandon BussiStars (DAL)G281998-06-25USANo211 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm2,777,500$0$0$No2,777,500$2,777,500$-------2,777,500$2,777,500$-------NoNo-------
Brendan GaunceStars (DAL)C/LW321994-03-25CANNo217 Lbs6 ft3NoNoFree AgentNoNo22024-07-09FalseFalsePro & Farm1,135,000$0$0$No1,135,000$--------1,135,000$--------No--------
Carson GicewiczStars (DAL)C291997-03-04USANo215 Lbs6 ft3NoNoFree AgentNoNo22024-07-17FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------
Carson MeyerStars (DAL)RW291997-08-18USANo190 Lbs5 ft11YesNoFree AgentNoNo32026-08-29FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------YesYes-------
Christian KyrouStars (DAL)D232003-09-16CANYes100 Lbs4 ft0NoNoFree AgentNoNo22026-06-05FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Colin SwoyerStars (DAL)D281998-03-31USANo188 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------
Dylan RoobroeckStars (DAL)C/LW222004-07-27CANNo208 Lbs6 ft7NoNoFree AgentNoNo22025-05-30FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Eric TurcotteStars (DAL)C/LW/RW341992-07-30CANNo217 Lbs6 ft3YesNoFree AgentNoNo22024-08-08FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------Yes--------
Henrik RybinskiStars (DAL)C/LW/RW252001-06-26CANNo100 Lbs4 ft0NoNoFree AgentNoNo12026-06-05FalseFalsePro & Farm900,000$0$0$No---------------------------
Jacob FowlerStars (DAL)G212004-11-24USAYes214 Lbs6 ft2NoNoFree AgentNoNo32026-06-05FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Jiri KulichStars (DAL)C/LW/RW222004-04-14CZEYes186 Lbs6 ft1NoNoN/ANoNo32026-05-31FalseFalsePro & Farm1,892,000$0$0$No1,892,000$1,892,000$-------1,892,000$1,892,000$-------NoNo-------
Jordan SpenceStars (DAL)D252001-02-24CANNo192 Lbs5 ft10NoNoN/ANoNo22025-05-25FalseFalsePro & Farm2,088,000$0$0$No2,088,000$--------2,088,000$--------No--------
Judd CaulfieldStars (DAL)LW/RW252001-03-19USANo208 Lbs6 ft3NoNoFree AgentNoNo32026-05-31FalseFalsePro & Farm1,306,000$0$0$No1,306,000$1,306,000$-------1,306,000$1,306,000$-------NoNo-------
Maksymilian SzuberStars (DAL)D242002-08-25GERNo209 Lbs6 ft3NoNoTrade2026-03-05NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Marian StudenicStars (DAL)LW/RW271998-10-28SVKNo189 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,215,000$0$0$No1,215,000$--------1,215,000$--------No--------
Marshall RifaiStars (DAL)D281998-03-16CANNo189 Lbs6 ft0NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,530,000$0$0$No1,530,000$--------1,530,000$--------No--------
Mavrik BourqueStars (DAL)C242002-01-08CANYes195 Lbs5 ft10NoNoN/ANoNo32026-05-31FalseFalsePro & Farm1,984,000$0$0$No1,984,000$1,984,000$-------1,984,000$1,984,000$-------NoNo-------
Michael MilneStars (DAL)LW/RW242002-09-21CANYes193 Lbs5 ft11NoNoFree AgentNoNo12024-07-18FalseFalsePro & Farm895,000$0$0$No---------------------------
Nick PerbixStars (DAL)D281998-06-15USANo210 Lbs6 ft4NoNoTrade2024-07-16NoNo32026-05-31FalseFalsePro & Farm2,156,000$0$0$No2,156,000$2,156,000$-------2,156,000$2,156,000$-------NoNo-------
Owen SayStars (DAL)G252001-06-05CANNo185 Lbs6 ft2YesNoFree AgentNoNo52026-08-29FalseFalsePro & Farm1,430,000$0$0$No1,430,000$1,430,000$1,430,000$1,430,000$-----1,430,000$1,430,000$1,430,000$1,430,000$-----YesYesYesYes-----
Patrick BajkovStars (DAL)LW/RW281997-11-27CANNo196 Lbs6 ft0NoNoN/ANoNo22025-05-25FalseFalsePro & Farm966,000$0$0$No966,000$--------966,000$--------No--------
Rhett GardnerStars (DAL)C/LW301996-02-28CANNo240 Lbs6 ft3NoNoFree AgentNoNo22024-07-15FalseFalsePro & Farm1,535,000$0$0$No1,535,000$--------1,535,000$--------No--------
Ryan JonesStars (DAL)D301996-05-26USANo198 Lbs6 ft2NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,317,000$0$0$No1,317,000$--------1,317,000$--------No--------
Ryan TattleStars (DAL)C/LW/RW252001-09-07CANNo196 Lbs5 ft11NoNoFree AgentNoNo12026-07-04FalseFalsePro & Farm900,000$0$0$No---------------------------
Turner OttenbreitStars (DAL)D291997-07-09CANNo199 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------
Zac JonesStars (DAL)D262000-10-18USANo184 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,459,000$0$0$No---------------------------
Zach MetsaStars (DAL)D281998-10-19USANo196 Lbs5 ft9YesNoFree AgentNoNo32024-07-15FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------YesYes-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3026.47194 Lbs6 ft02.331,295,950$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon BuhrJiri KulichMarian Studenic32023
2Dylan RoobroeckMavrik BourqueEric Turcotte29023
3Andre LeeBrendan GaunceHenrik Rybinski25122
4Judd CaulfieldRhett GardnerCarson Meyer14122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick PerbixJordan Spence31041
2Christian KyrouZac Jones31131
3Marshall RifaiMaksymilian Szuber31041
4Nick PerbixJordan Spence7122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon BuhrMavrik BourqueMarian Studenic53005
2Dylan RoobroeckAndre LeeJiri Kulich47005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian KyrouJordan Spence53005
2Nick PerbixZac Jones47005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jiri KulichBrandon Buhr60122
2Andre LeeMarian Studenic40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick PerbixJordan Spence60122
2Maksymilian SzuberMarshall Rifai40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brendan Gaunce60140Nick PerbixJordan Spence60140
2Rhett Gardner40122Maksymilian SzuberMarshall Rifai40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mavrik BourqueBrandon Buhr54131
2Jiri KulichMarian Studenic46032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick PerbixJordan Spence60122
2Christian KyrouZac Jones40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon BuhrMavrik BourqueJiri KulichZac JonesJordan Spence
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rhett GardnerBrendan GaunceMarian StudenicNick PerbixJordan Spence
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Gaunce, Eric Turcotte, Henrik RybinskiBrendan Gaunce, Eric TurcotteHenrik Rybinski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zac Jones, Christian Kyrou, Nick PerbixMarshall RifaiChristian Kyrou, Nick Perbix
Tirs de pénalité
Mavrik Bourque, Jiri Kulich, Brandon Buhr, Andre Lee, Marian Studenic
Gardien
#1 : Jacob Fowler, #2 : Brandon Bussi


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
TotalDomicile Visiteur
# 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 RI
1Admirals2010100078-1100010005411010000024-220.50071219001210823385118766611528466350.00%14378.57%017834451.74%19138349.87%7918642.47%2841952899115275
2Checkers2020000048-41010000024-21010000024-200.000461010121082408511876650191245800.00%6266.67%017834451.74%19138349.87%7918642.47%2841952899115275
3Firebird1010000014-3000000000001010000014-300.000123001210821785118766311016153133.33%8187.50%017834451.74%19138349.87%7918642.47%2841952899115275
4IceHogs1010000023-1000000000001010000023-100.000246001210822585118766234917100.00%220.00%017834451.74%19138349.87%7918642.47%2841952899115275
5Moose21000001660110000003211000000134-130.75061117001210826985118766401812391119.09%5180.00%017834451.74%19138349.87%7918642.47%2841952899115275
6Roadrunners22000000743110000004221100000032141.00071320001210825785118766511224347228.57%12283.33%017834451.74%19138349.87%7918642.47%2841952899115275
7Wild2110000045-1110000002111010000024-220.5004711001210824185118766641812405240.00%50100.00%017834451.74%19138349.87%7918642.47%2841952899115275
Total1246010013138-75310100016133715000011525-10110.45831558610121082282851187663209611323641921.95%521178.85%017834451.74%19138349.87%7918642.47%2841952899115275
_Since Last GM Reset1246010013138-75310100016133715000011525-10110.45831558610121082282851187663209611323641921.95%521178.85%017834451.74%19138349.87%7918642.47%2841952899115275
_Vs Conference1246010013138-75310100016133715000011525-10110.45831558610121082282851187663209611323641921.95%521178.85%017834451.74%19138349.87%7918642.47%2841952899115275
_Vs Division2460100148-41310100024-21150000124-2112.750461010121082408511876650191245800.00%6266.67%017834451.74%19138349.87%7918642.47%2841952899115275

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1211W23155862823209611323610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
124610013138
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53110001613
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
71500011525
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
41921.95%521178.85%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
85118766121082
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
17834451.74%19138349.87%7918642.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2841952899115275


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
215Checkers4Stars2LSommaire du match
429Stars3Moose4LXXSommaire du match
644Admirals4Stars5WXSommaire du match
857Stars2Wild4LSommaire du match
1069Roadrunners2Stars4WSommaire du match
1393Stars2Admirals4LSommaire du match
14100Stars1Firebird4LSommaire du match
17120Moose2Stars3WSommaire du match
20133Stars2Checkers4LSommaire du match
22146Stars2IceHogs3LSommaire du match
23158Wild1Stars2WSommaire du match
25170Stars3Roadrunners2WSommaire du match
28191IceHogs-Stars-
30213Wranglers-Stars-
33233Stars-Senators-
35242Firebird-Stars-
39260Stars-Griffins-
41276Phantoms-Stars-
43294Stars-Eagles-
45308Checkers-Stars-
47322Stars-Condors-
49339Condors-Stars-
53366Firebird-Stars-
55380Stars-Penguins-
58392Stars-Crunch-
60402Stars-IceHogs-
61410Gulls-Stars-
64436Roadrunners-Stars-
66450Stars-Canucks-
68465Stars-Checkers-
70473Reign-Stars-
72489Stars-Barracuda-
74502Stars-Silver Knight-
75510Canucks-Stars-
79530Stars-Comets-
80541Americans-Stars-
83565Stars-Marlies-
84573Crunch-Stars-
87597Stars-Monsters-
88605Barracuda-Stars-
91632Stars-Bruins-
92638Eagles-Stars-
96658Stars-Thunderbirds-
98669Wolves-Stars-
100690Stars-Americans-
102700Senators-Stars-
104720Stars-Firebird-
106732Bruins-Stars-
108748Stars-Hammers-
110761Stars-Phantoms-
111768Marlies-Stars-
115788Stars-Roadrunners-
117798Griffins-Stars-
121828Wolf Pack-Stars-
124853Comets-Stars-
125865Stars-Wolves-
128888Penguins-Stars-
129895Stars-Admirals-
131914Stars-Moose-
134925Silver Knight-Stars-
138948Stars-Bears-
140957IceHogs-Stars-
142979Rockets-Stars-
143988Stars-Wranglers-
1481015Bears-Stars-
1511039Admirals-Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1541054Stars-Wild-
1561066Stars-Gulls-
1581079Moose-Stars-
1621106Wild-Stars-
1651124Stars-Reign-
1671137Monsters-Stars-
1701161Thunderbirds-Stars-
1721169Stars-Wolf Pack-
1761190Stars-Rockets-
1831211Hammers-Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance10,0005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
33 3000 - 100.00% 126,650$633,250$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,222,398$ 7,775,700$ 7,775,700$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,149,417$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,179,450$ 158 44,734$ 7,067,972$




Stars 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

Stars 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

Stars 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

Stars 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

Stars 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