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Stars
GP: 7 | W: 3 | L: 4
GF: 21 | GA: 23 | PP%: 12.50% | PK%: 72.73%
DG: Guillaume Blanchet | Morale : 45 | Moyenne d’équipe : 68

Centre de jeu
Blackhawks
10-10-0, 20pts
2
4 Stars
3-4-0, 6pts
Team Stats
L2SéquenceOTL1
5-6-0Fiche domicile2-1-0
5-4-0Fiche domicile1-3-0
5-5-0Derniers 10 matchs3-3-1
2.70Buts par match 3.00
3.05Buts contre par match 3.29
18.67%Pourcentage en avantage numérique12.50%
87.84%Pourcentage en désavantage numérique72.73%
Stars
3-4-0, 6pts
3
4 Blackhawks
10-10-0, 20pts
Team Stats
OTL1SéquenceL2
2-1-0Fiche domicile5-6-0
1-3-0Fiche domicile5-4-0
3-3-1Derniers 10 matchs5-5-0
3.00Buts par match 2.70
3.29Buts contre par match 3.05
12.50%Pourcentage en avantage numérique18.67%
72.73%Pourcentage en désavantage numérique87.84%
Meneurs d'équipe
Buts
Maxime Comtois
4
Passes
Cole Caufield
6
Points
Cole Caufield
9
Plus/Moins
Gavin Bayreuther
5
Victoires
Erik Kallgren
3
Pourcentage d’arrêts
Erik Kallgren
0.925

Statistiques d’équipe
Buts pour
21
3.00 GFG
Tirs pour
209
29.86 Avg
Pourcentage en avantage numérique
12.5%
4 GF
Début de zone offensive
40.4%
Buts contre
23
3.29 GAA
Tirs contre
218
31.14 Avg
Pourcentage en désavantage numérique
72.7%%
9 GA
Début de la zone défensive
36.3%
Informations de l'équipe

Directeur généralGuillaume Blanchet
EntraîneurMike Yeo
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison2,850


Informations de la formation

Équipe Pro39
Équipe Mineure18
Limite Contrat57 / 68
Espoirs26


Historique d'équipe

Saison actuelle3-4
Historique82-69-20 (0.480%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)3 - 4 (0.429%)
Coupe Stanley0


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
1Cole Caufield (R)X100.0071409395738785915086957125937159788002522,500,000$
2Cody Glass (R)X100.0070409176777583947590857825847248767702711,500,000$
3Cole Perfetti (R)X100.0073409089798683864980797225856654777502432,000,000$
4William Eklund (R)X100.006855818978888386508378722585665476752231894,167$
5Marco Kasper (R)X100.007740768880868084697679712584614973740223886,667$
6Tyson Jost (R)X100.0075488177728085786278697825858957797302821,500,000$
7Joel Kiviranta (R)X100.007940908474848676506776752580766467720301800,000$
8Jonatan Berggren (R)X100.005434988174667388448183662586624178722251925,000$
9Maxime Comtois (R)X100.0073735073787483795481786325838149777102731,250,000$
10Laurent Dauphin (R)X100.005428937371787863836361862578915977680313800,000$
11Michael RafflX100.005627976374607851826054747599994973630373575,000$
12Marian Studenic (R)X100.005734817268626562357166682570564920620273575,000$
13Sean Walker (R)X100.0079496885737984834076729125857857517703133,000,000$
14Artyom Zub (R)X100.0082546478778979754073668525806848507403011,500,000$
15Gavin Bayreuther (R)X100.007765667475798070406860732583824764700322900,000$
16Mark Friedman (R)X100.006046887472857568406161722576785147680301700,000$
17Marcus Bjork (R)X100.006047627378816564406159722576584453652281925,000$
18Jack Rathbone (R)X100.005740727168696467407471652570594320640272575,000$
Rayé
1J.J. Peterka (R)X100.006840768781888389508384682585665468762241855,833$
2Aatu Räty (R)X100.007340807683827069886467652572614914661231863,667$
3Kristian Vesalainen (R)X100.006028996677598463166861592574767019620273575,000$
4Taylor BeckX100.005441736277476477426566476799992119620352575,000$
5Matej Blumel (R)X100.006142717164676570456569622570535020620263775,000$
6Juha Jaaska (R)X100.006245757182776066556460642566515020620283850,000$
7Devin Kaplan (R)X100.005540757284836065406060602566515019610223921,667$
8Benoit-Olivier Groulx (R)X100.006542797076627061655655612570614519600263575,000$
9Vitali Kravtsov (R)X100.005224997573727554324848662574644919580262575,000$
10Brandon Gignac (R)X100.005136767167636556795651612565554919570282575,000$
11Henri Jokiharju (R)X100.0076537677768185814079737925817858637402732,000,000$
12Nick Perbix (R)X100.007240907583838077407371762580614957722281842,500$
13Artyom Levshunov (R)X100.005840757287876067406660612566515020630203975,000$
14Libor Hajek (R)X100.005537756376656960406257672574756719620283575,000$
15Cam Dineen (R)X100.005542727160696767406560682566555019620283575,000$
16Logan Mailloux (R)X100.006749606670646266406264682565505019612232875,000$
17Ryan Merkley (R)X100.007164866972667051253333593849494820570253575,000$
18Daniil Misyul (R)X100.005447626562666458405452592558525019570253867,500$
MOYENNE D’ÉQUIPE100.00654379757575747149686669287767514567
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
1Kaapo Kähkönen (R)100.008287888585999999998769887158798802912,500,000$
Rayé
1Erik Kallgren (R)100.00817270807791919291802579654479801291750,000$
2Matt Villalta (R)100.00736773657176807478724062564721702272775,000$
MOYENNE D’ÉQUIPE100.0079757777788990888980457664506079
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo8169777564591CAN5131,000,000$


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
1Cole CaufieldStars (DAL)RW736902013203317209.09%316223.232245290002270047.37%57101001.1100000101
2J.J. PeterkaStars (DAL)LW5336495229144921.43%010220.44224425000150075.00%832001.1700001011
3Maxime ComtoisStars (DAL)LW7415480116126633.33%1659.290000000005100%410011.5400000100
4Sean WalkerStars (DAL)D7044180181015740%717825.56022132000125000%016000.4500000000
5Cole PerfettiStars (DAL)C72244201492513198.00%114220.34011628000090042.55%14154000.5600000100
6Marco KasperStars (DAL)C7044-175131115660%110114.55000012000000047.42%9770000.7900001000
7Cody GlassStars (DAL)RW7213-100712278137.41%515321.940002230001271058.33%1297000.3900000000
8Henri JokiharjuStars (DAL)D511205571073114.29%111222.54000025000014100%001000.3500010000
9Gavin BayreutherStars (DAL)D7022522101376210%611216.110000800009000%013000.3500011000
10Laurent DauphinStars (DAL)C71123002882412.50%2588.3200000000010073.08%2601000.6900000010
11Artyom ZubStars (DAL)D7022115525143310%816423.57000024000019000%014000.2400001000
12Jonatan BerggrenStars (DAL)RW720200041173728.57%28311.8600002000010030.00%1030000.4800000010
13William EklundStars (DAL)C4112-1007475714.29%18421.21000113000080047.22%10861000.4700000000
14Marcus BjorkStars (DAL)D4022-140552220%76716.970000000002000%001000.5900000000
15Tyson JostStars (DAL)LW7011-723514156040%012818.30000121000040063.64%1123000.1600100000
16Mark FriedmanStars (DAL)D70111755106120%514420.66000010000014000%017000.1400100000
17Michael RafflStars (DAL)RW7011300371010%2456.450000100000000%000000.4400000000
18Joel KivirantaStars (DAL)LW710110014875614.29%49613.7400008000000050.00%610000.2100000000
19Marian StudenicStars (DAL)LW21011003120450.00%0126.150000000000000%000001.6300000000
20Jack RathboneStars (DAL)D2000020022010%13417.340000000003000%00100000000000
21Aatu RätyStars (DAL)C3000-100011100%3186.1300000000000040.00%51000000000000
22Nick PerbixStars (DAL)D3000-120553100%25016.9800011000004000%00300000000000
Statistiques d’équipe totales ou en moyenne12621335415116402051852098911810.05%62212116.8447112127700051843047.63%4855245010.5100224332
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
1Erik KallgrenStars (DAL)53010.9252.34282001114670000043100
2Kaapo KähkönenStars (DAL)30300.8334.7715100127229000034000
Statistiques d’équipe totales ou en moyenne83310.8943.1943300232189900077100


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 Salaire restantPlafond 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
Aatu RätyStars (DAL)C232002-11-14FINYes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm863,667$0$0$No---------------------------
Artyom LevshunovStars (DAL)D202005-10-28BLRYes208 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Artyom ZubStars (DAL)D301995-10-03RUSYes204 Lbs6 ft3NoNoN/ANoNo12024-09-18FalseFalsePro & Farm1,500,000$0$0$No---------------------------
Benoit-Olivier GroulxStars (DAL)C262000-02-06CANYes198 Lbs6 ft2NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Brandon GignacStars (DAL)C281997-11-07CANYes185 Lbs5 ft11NoNoTrade2024-12-22NoNo22024-08-24FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Cam DineenStars (DAL)D281998-06-19USAYes183 Lbs5 ft11NoNoTrade2024-12-22NoNo32025-08-30FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Cody GlassStars (DAL)RW271999-04-01CANYes206 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------
Cole CaufieldStars (DAL)RW252001-01-02USAYes175 Lbs5 ft8NoNoN/ANoNo22024-09-18FalseFalsePro & Farm2,500,000$0$0$No2,500,000$-----------------No--------
Cole PerfettiStars (DAL)C242002-01-01CANYes185 Lbs5 ft11NoNoN/ANoNo32025-08-30FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Daniil MisyulStars (DAL)D252000-10-20RUSYes176 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------
Devin KaplanStars (DAL)RW222004-01-10USAYes199 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm921,667$0$0$No921,667$921,667$-------921,667$921,667$-------NoNo-------
Erik KallgrenStars (DAL)G291996-10-14SWEYes200 Lbs6 ft3NoNoTrade2024-12-22NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Gavin BayreutherStars (DAL)D321994-05-12USAYes196 Lbs6 ft1NoNoN/ANoNo22024-09-18FalseFalsePro & Farm900,000$0$0$No900,000$-----------------No--------
Henri JokiharjuStars (DAL)D271999-06-17FINYes200 Lbs6 ft0NoNoN/ANoNo32025-08-30FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
J.J. PeterkaStars (DAL)LW242002-01-14DEUYes189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm855,833$0$0$No---------------------------
Jack RathboneStars (DAL)D271999-05-20USAYes176 Lbs5 ft10NoNoN/ANoNo22024-09-18FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Joel KivirantaStars (DAL)LW301996-03-23FINYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Jonatan BerggrenStars (DAL)RW252000-07-16SWEYes197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Juha JaaskaStars (DAL)RW281998-02-09FINYes210 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-11FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------
Kaapo KähkönenStars (DAL)G291996-08-16FINYes217 Lbs6 ft2NoNoN/ANoNo12024-09-18FalseFalsePro & Farm2,500,000$0$0$No---------------------------
Kristian VesalainenStars (DAL)LW271999-06-01FINYes207 Lbs6 ft4NoNoTrade2024-01-26NoNo32025-08-30FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Laurent DauphinStars (DAL)C311995-03-27CANYes186 Lbs6 ft0NoNoN/ANoNo32025-08-30FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Libor HajekStars (DAL)D281998-02-04CZEYes205 Lbs6 ft3NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Logan MaillouxStars (DAL)D232003-04-15CANYes212 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------
Marco KasperStars (DAL)C222004-04-08AUTYes183 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------
Marcus BjorkStars (DAL)D281997-11-24SWEYes211 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Marian StudenicStars (DAL)LW271998-10-28SVKYes178 Lbs6 ft1NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Mark FriedmanStars (DAL)D301995-12-25CANYes185 Lbs5 ft11NoNoN/ANoNo12025-08-30FalseFalsePro & Farm700,000$0$0$No---------------------------
Matej BlumelStars (DAL)LW262000-05-31CZEYes198 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Matt VillaltaStars (DAL)G271999-06-03CANYes190 Lbs6 ft4NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Maxime ComtoisStars (DAL)LW271999-01-08CANYes210 Lbs6 ft2NoNoN/ANoNo32025-08-30FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Michael RafflStars (DAL)RW371988-12-01AUSNo200 Lbs6 ft0NoNoTrade2025-10-11NoNo32025-09-19FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Nick PerbixStars (DAL)D281998-06-15USAYes206 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No---------------------------
Ryan MerkleyStars (DAL)D252000-08-14CANYes185 Lbs6 ft0NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Sean WalkerStars (DAL)D311994-11-13CANYes191 Lbs5 ft11NoNoN/ANoNo32025-08-30FalseFalsePro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------3,000,000$9,000,000$-------NoNo-------
Taylor BeckStars (DAL)RW351991-05-13CANNo210 Lbs6 ft2NoNoTrade2024-12-22NoNo22024-10-06FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Tyson JostStars (DAL)LW281998-03-14CANYes187 Lbs5 ft11NoNoN/ANoNo22024-09-18FalseFalsePro & Farm1,500,000$0$0$No1,500,000$-----------------No--------
Vitali KravtsovStars (DAL)RW261999-12-23RUSYes186 Lbs6 ft3NoNoN/ANoNo22024-09-18FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
William EklundStars (DAL)C232002-10-12SWEYes181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3927.13195 Lbs6 ft12.151,032,231$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostWilliam EklundCole Caufield35122
2Joel KivirantaCole PerfettiCody Glass35122
3Maxime ComtoisMarco KasperJonatan Berggren25122
4Marian StudenicLaurent DauphinMichael Raffl5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean WalkerArtyom Zub35122
2Gavin BayreutherMark Friedman35122
3Marcus BjorkJack Rathbone30122
4Sean WalkerArtyom Zub0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostWilliam EklundCole Caufield60122
2Joel KivirantaCole PerfettiCody Glass40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean WalkerArtyom Zub60122
2Gavin BayreutherMark Friedman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole CaufieldCody Glass60122
2William EklundCole Perfetti40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean WalkerArtyom Zub60122
2Gavin BayreutherMark Friedman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Caufield60122Sean WalkerArtyom Zub60122
2Cody Glass40122Gavin BayreutherMark Friedman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole CaufieldCody Glass60122
2William EklundCole Perfetti40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean WalkerArtyom Zub60122
2Gavin BayreutherMark Friedman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostWilliam EklundCole CaufieldSean WalkerArtyom Zub
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostWilliam EklundCole CaufieldSean WalkerArtyom Zub
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Marco Kasper, Jonatan Berggren, Maxime ComtoisMarco Kasper, Jonatan BerggrenMaxime Comtois
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marcus Bjork, Jack Rathbone, Gavin BayreutherMarcus BjorkJack Rathbone, Gavin Bayreuther
Tirs de pénalité
Cole Caufield, Cody Glass, William Eklund, Cole Perfetti, Marco Kasper
Gardien
#1 : , #2 : Kaapo Kähkönen
Lignes d’attaque personnalisées en prolongation
Cole Caufield, Cody Glass, William Eklund, Cole Perfetti, Marco Kasper, Tyson Jost, Jonatan Berggren, Joel Kiviranta, Maxime Comtois, Laurent Dauphin
Lignes de défense personnalisées en prolongation
Sean Walker, Artyom Zub, Gavin Bayreuther, Mark Friedman, Marcus Bjork


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
1Blackhawks734000002123-232100000871413000001316-360.42921335400776120966657172186211620532412.50%33972.73%09019645.92%8717649.43%5411347.79%154881546412562R5
Total734000002123-232100000871413000001316-360.42921335400776120966657172186211620532412.50%33972.73%09019645.92%8717649.43%5411347.79%154881546412562
_Since Last GM Reset734000002123-232100000871413000001316-360.42921335400776120966657172186211620532412.50%33972.73%09019645.92%8717649.43%5411347.79%154881546412562
_Vs Conference734000002123-232100000871413000001316-360.42921335400776120966657172186211620532412.50%33972.73%09019645.92%8717649.43%5411347.79%154881546412562
_Vs Division734000002123-232100000871413000001316-360.42921335400776120966657172186211620532412.50%33972.73%09019645.92%8717649.43%5411347.79%154881546412562

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76OTL12133542092186211620500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002123
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000087
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41300001316
Derniers 10 matchs
WLOTWOTL SOWSOL
330100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
32412.50%33972.73%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
66657177761
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
9019645.92%8717649.43%5411347.79%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
154881546412562


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
26Stars1Blackhawks4LR5Sommaire du match
414Stars3Blackhawks4LSommaire du match
622Blackhawks4Stars2LR5Sommaire du match
830Blackhawks1Stars2WXSommaire du match
1038Stars6Blackhawks4WR5Sommaire du match
1246Blackhawks2Stars4WSommaire du match
1454Stars3Blackhawks4LXR5Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance6,0003,000
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
38 3000 - 100.00% 128,250$384,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 4,025,701$ 4,025,701$ 1,000,000$0$
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$




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
1Cole Caufield1588387170-92826626164612.85%72336721.31262248892131113544.41%31.01115
2Cody Glass1325290142172822328444511.69%58271620.58620264504496652.53%01.05315
3Cole Perfetti1535874132-152826528141314.04%58281718.421322353221336341.88%10.9426
4J.J. Peterka1575762119-49034320745112.64%74305419.4591423472131410438.46%00.78011
5Jonatan Berggren158415798361401644559.01%48245215.523361400046538.19%00.8002

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
1Kaapo Kähkönen1447054100.8993.148053263422416516361050.82362
2Erik Kallgren41121230.8893.4716962198879365000.2005
3Matt Villalta50300.8227.121770021118611000

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
Saison régulière
1982303604057274279-541131904014131149-184117170004314313013852744387122275959512250981485980390265985077720912244218.75%2354381.70%6949191249.63%999206948.28%619128148.32%1780105818097251404697
2082363306313267277-1041201703010133133041161603303134144-1092267447714327389988254785083484036250885459921152324218.10%2124479.25%3894193746.15%881196744.79%574124446.14%1805107817657051378697
Total Saison régulière16466690103610541556-1582333607024264282-1882333303346277274317754188514265414818419320505616641693164312651671704137642064568418.42%4478780.54%91843384947.88%1880403646.58%1193252547.25%358621363575143027821394
Séries éliminatoires
20734000002123-232100000871413000001316-3621335400776120966657172186211620532412.50%33972.73%09019645.92%8717649.43%5411347.79%154881546412562
Total Séries éliminatoires734000002123-232100000871413000001316-3621335400776120966657172186211620532412.50%33972.73%09019645.92%8717649.43%5411347.79%154881546412562

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
1Cole Caufield7369021320339.09%316223.23224500020047.37%01.1100
2J.J. Peterka5336492291421.43%010220.44224400010075.00%01.1700
3Maxime Comtois7415481161233.33%1659.2900000000100%11.5400
4Sean Walker7044181810150%717825.5602210001000%00.4500
5Cole Perfetti722442149258.00%114220.34011600000042.55%00.5600

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
1Erik Kallgren53010.9252.342820011146700000
2Kaapo Kähkönen30300.8334.77151001272290000