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Connexion

Stars
GP: 82 | W: 43 | L: 33 | OTL: 6 | P: 92
GF: 267 | GA: 277 | PP%: 18.10% | PK%: 79.25%
DG: Guillaume Blanchet | Morale : 78 | Moyenne d’équipe : 68

Centre de jeu
Canucks
33-43-6, 72pts
3
4 Stars
43-33-6, 92pts
Team Stats
W2SéquenceL1
16-21-4Fiche domicile24-17-0
17-22-2Fiche domicile19-16-6
5-4-1Derniers 10 matchs3-6-1
2.99Buts par match 3.26
3.50Buts contre par match 3.38
14.00%Pourcentage en avantage numérique18.10%
78.69%Pourcentage en désavantage numérique79.25%
Ducks
45-33-4, 94pts
7
3 Stars
43-33-6, 92pts
Team Stats
W1SéquenceL1
23-15-3Fiche domicile24-17-0
22-18-1Fiche domicile19-16-6
7-3-0Derniers 10 matchs3-6-1
3.27Buts par match 3.26
3.18Buts contre par match 3.38
17.11%Pourcentage en avantage numérique18.10%
86.97%Pourcentage en désavantage numérique79.25%
Meneurs d'équipe
Buts
Cole Caufield
35
Passes
Cody Glass
49
Points
Cole Caufield
79
Plus/Moins
Gavin Bayreuther
21
Victoires
Kaapo Kähkönen
34
Pourcentage d’arrêts
Kaapo Kähkönen
0.893

Statistiques d’équipe
Buts pour
267
3.26 GFG
Tirs pour
2547
31.06 Avg
Pourcentage en avantage numérique
18.1%
42 GF
Début de zone offensive
37.6%
Buts contre
277
3.38 GAA
Tirs contre
2508
30.59 Avg
Pourcentage en désavantage numérique
79.2%%
44 GA
Début de la zone défensive
38.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,984
Billets de saison2,850


Informations de la formation

Équipe Pro38
Équipe Mineure19
Limite Contrat57 / 68
Espoirs26


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)X100.0071409395738785915086957125937159798002522,500,000$
2Cody Glass (R)X100.0070409176777583947590857825847148777702711,500,000$
3J.J. Peterka (R)X100.006840768781888388508384682585665479762241855,833$
4Cole Perfetti (R)X100.0073409089798683864980797225856654797502432,000,000$
5Marco Kasper (R)X100.007740768880868084697679712584614974740223886,667$
6Tyson Jost (R)X100.0075488177728085786278697825858957797302821,500,000$
7Joel Kiviranta (R)X100.007940908474848676506776752580766469720301800,000$
8Jonatan Berggren (R)X100.005434988174667388448183662586624280722251925,000$
9Maxime Comtois (R)X100.0073735073787483795481786325838049787102731,250,000$
10Laurent Dauphin (R)X100.005528937371787863836361862578905979680313800,000$
11Aatu Räty (R)X100.007340807582827069886467652572614921661231863,667$
12Michael RafflX100.005627976374607851826054747599994974630373575,000$
13Sean Walker (R)X100.0078496885737984834076729125857857527703133,000,000$
14Henri Jokiharju (R)X100.0076537677768185814079737925817858787402632,000,000$
15Artyom Zub (R)X100.0082546478778979754073668525806848517403011,500,000$
16Nick Perbix (R)X100.007240907583838077407371762580614978722271842,500$
17Gavin Bayreuther (R)X100.007765667475798070406860732583824778700322900,000$
18Mark Friedman (R)X100.006046887472857568406161722576785146680301700,000$
Rayé
1Kristian Vesalainen (R)X100.006028996677598463166861592574767019620263575,000$
2Taylor BeckX100.005441736277476477426566476799992119620352575,000$
3Marian Studenic (R)X100.005734817268626562357166682570564920620273575,000$
4Matej Blumel (R)X100.006142717164676570456569622570535020620253775,000$
5Juha Jaaska (R)X100.006245757182776066556460642566515020620283850,000$
6Devin Kaplan (R)X100.005540757284836065406060602566515019610223921,667$
7Benoit-Olivier Groulx (R)X100.006542797076627061655655612570614519600263575,000$
8Vitali Kravtsov (R)X100.005224997573727554324848662574644919580262575,000$
9Brandon Gignac (R)X100.005136767167636556795651612565554919570282575,000$
10Marcus Bjork (R)X100.006047627378816564406159722576574442652281925,000$
11Jack Rathbone (R)X100.005740727168696467407471652570594320640262575,000$
12Artyom Levshunov (R)X100.005840757287876067406660612566515020630203975,000$
13Libor Hajek (R)X100.005537756376656960406257672574756719620283575,000$
14Cam Dineen (R)X100.005542727160696767406560682566555019620273575,000$
15Logan Mailloux (R)X100.006749606670646266406264682565505019612232875,000$
16Ryan Merkley (R)X100.007164866972667051253333593849494820570253575,000$
17Daniil Misyul (R)X100.005447626562666458405452592558525019570253867,500$
MOYENNE D’ÉQUIPE100.00654379747574747149686669287667514667
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)100.008287888585999999998769887158808802912,500,000$
2Erik Kallgren (R)99.00817270807791919191802579654480801291750,000$
Rayé
1Matt Villalta (R)100.00736773657176807478724062564720702262775,000$
MOYENNE D’ÉQUIPE99.6779757777788990888980457664506079
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)RW81354479-8951361153029818811.59%28171421.161212244120910181937243.56%4279038010.9204010768
2Cody GlassStars (DAL)RW692749761312101051182476512610.93%29136619.8138112113102231604260.61%994225001.1114110726
3Cole PerfettiStars (DAL)C80313970-1416101301432196812314.16%39148618.5851520161770111434340.83%16415723010.9411110264
4J.J. PeterkaStars (DAL)LW78292958-8415174922107111813.81%48155819.986612332051019916136.80%1255722000.7403100494
5Tyson JostStars (DAL)LW821733501041516997142358111.97%40149918.2911011111660000424151.11%902325000.6711010131
6Marco KasperStars (DAL)C7725244922751321322245513611.16%24113714.772021076000092549.66%10294316000.8600001233
7William EklundStarsC47182846630208288110467916.36%1389619.075914101121015533243.30%9703215001.0301013334
8Jonatan BerggrenStars (DAL)RW821728452004271221671317.69%18110913.530003400002152333.87%625512000.8100000022
9Joel KivirantaStars (DAL)LW82181735-17510974124459314.52%2094411.520000110001204251.79%563817000.7400100123
10Henri JokiharjuStars (DAL)D8252934-16622015113410249404.90%101191323.33437162280000189000%02059100.3600022001
11Maxime ComtoisStars (DAL)LW82151631-1143511643148529110.14%157909.64000060000322138.64%443117000.7800001212
12Sean WalkerStars (DAL)D5832528-26610135948127433.70%65131322.64246101690111119110%01843000.4300011102
13Nick PerbixStars (DAL)D8232225-171351001178041233.75%94174421.2701171510002135010%01549000.2900010031
14Laurent DauphinStars (DAL)C82111021100389767275916.42%1982510.07000050000271053.88%4771315000.5100000110
15Artyom ZubStars (DAL)D7931619-22115351871318136323.70%92167021.15224101540002120100%01048000.2300016002
16Mark FriedmanStars (DAL)D6411314146037643920282.56%68106216.60000014000046000%0635000.2600000000
17Gavin BayreutherStars (DAL)D781101121675162754518282.22%83136417.50000043000040000%0840000.1600010001
18Michael RafflStars (DAL)RW82459-700274836102111.11%136708.1700006000001044.44%18214000.2700000001
19Marcus BjorkStars (DAL)D382461022032311991010.53%3561516.1900002011033000%0620000.2000000100
20Aatu RätyStars (DAL)C39145-60022283713202.70%23077.8800000000000055.46%11956000.3300000000
21Jack RathboneStars (DAL)D11022-34014138720%718516.900000000008000%022000.2200000000
22Kristian VesalainenStars (DAL)LW1000000000000%022.120000000000000%00000000000000
23Libor HajekStars (DAL)D1000000000000%044.670000000000000%00000000000000
24Taylor BeckStars (DAL)RW1000000000000%000.330000000000000%00000000000000
25Benoit-Olivier GroulxStars (DAL)C3000100300020%0134.3600000000000075.00%40000000000000
26Marian StudenicStars (DAL)LW4000100313150%04010.1500000000000050.00%180100000000000
27Juha JaaskaStars (DAL)RW13000-5609102200%1896.890000000000000%01100000000000
Statistiques d’équipe totales ou en moyenne1478266447713-39587145211518162547862147910.44%8542432616.4642701121881915358341386422445.36%5179574543120.5931441114324145
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
1Kaapo KähkönenStars (DAL)70342840.8933.2538791212101966769830.700106616342
2Erik KallgrenStars (DAL)269520.8873.451062016153921600021666110
Statistiques d’équipe totales ou en moyenne96433360.8923.294941122271250598583128282452


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$4,406$0$0$No---------------------------
Artyom LevshunovStars (DAL)D202005-10-28BLRYes208 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm975,000$4,974$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$7,653$0$0$No---------------------------
Benoit-Olivier GroulxStars (DAL)C262000-02-06CANYes198 Lbs6 ft2NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$2,934$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$2,934$0$0$No575,000$--------575,000$--------No--------
Cam DineenStars (DAL)D271998-06-19USAYes183 Lbs5 ft11NoNoTrade2024-12-22NoNo32025-08-30FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Cody GlassStars (DAL)RW271999-04-01CANYes206 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$7,653$0$0$No---------------------------
Cole CaufieldStars (DAL)RW252001-01-02USAYes175 Lbs5 ft8NoNoN/ANoNo22024-09-18FalseFalsePro & Farm2,500,000$12,755$0$0$No2,500,000$-----------------No--------
Cole PerfettiStars (DAL)C242002-01-01CANYes185 Lbs5 ft11NoNoN/ANoNo32025-08-30FalseFalsePro & Farm2,000,000$10,204$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$4,426$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------
Devin KaplanStars (DAL)RW222004-01-10USAYes199 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm921,667$4,702$0$0$No921,667$921,667$-------921,667$921,667$-------NoNo-------
Erik KallgrenStars (DAL)G291996-10-14SWEYes200 Lbs6 ft3NoNoTrade2024-12-22NoNo1FalseFalsePro & Farm750,000$3,827$0$0$No---------------------------
Gavin BayreutherStars (DAL)D321994-05-12USAYes196 Lbs6 ft1NoNoN/ANoNo22024-09-18FalseFalsePro & Farm900,000$4,592$0$0$No900,000$-----------------No--------
Henri JokiharjuStars (DAL)D261999-06-17FINYes200 Lbs6 ft0NoNoN/ANoNo32025-08-30FalseFalsePro & Farm2,000,000$10,204$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$4,366$0$0$No---------------------------
Jack RathboneStars (DAL)D261999-05-20USAYes176 Lbs5 ft10NoNoN/ANoNo22024-09-18FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Joel KivirantaStars (DAL)LW301996-03-23FINYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$4,082$0$0$No---------------------------
Jonatan BerggrenStars (DAL)RW252000-07-16SWEYes197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Juha JaaskaStars (DAL)RW281998-02-09FINYes210 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-11FalseFalsePro & Farm850,000$4,337$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$12,755$0$0$No---------------------------
Kristian VesalainenStars (DAL)LW261999-06-01FINYes207 Lbs6 ft4NoNoTrade2024-01-26NoNo32025-08-30FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Laurent DauphinStars (DAL)C311995-03-27CANYes186 Lbs6 ft0NoNoN/ANoNo32025-08-30FalseFalsePro & Farm800,000$4,082$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Libor HajekStars (DAL)D281998-02-04CZEYes205 Lbs6 ft3NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Logan MaillouxStars (DAL)D232003-04-15CANYes212 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm875,000$4,464$0$0$No875,000$--------875,000$--------No--------
Marco KasperStars (DAL)C222004-04-08AUTYes183 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm886,667$4,524$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------
Marcus BjorkStars (DAL)D281997-11-24SWEYes211 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Marian StudenicStars (DAL)LW271998-10-28SVKYes178 Lbs6 ft1NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Mark FriedmanStars (DAL)D301995-12-25CANYes185 Lbs5 ft11NoNoN/ANoNo12025-08-30FalseFalsePro & Farm700,000$3,571$0$0$No---------------------------
Matej BlumelStars (DAL)LW252000-05-31CZEYes198 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-03FalseFalsePro & Farm775,000$3,954$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Matt VillaltaStars (DAL)G261999-06-03CANYes190 Lbs6 ft4NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm775,000$3,954$0$0$No775,000$--------775,000$--------No--------
Maxime ComtoisStars (DAL)LW271999-01-08CANYes210 Lbs6 ft2NoNoN/ANoNo32025-08-30FalseFalsePro & Farm1,250,000$6,378$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$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Nick PerbixStars (DAL)D271998-06-15USAYes206 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm842,500$4,298$0$0$No---------------------------
Ryan MerkleyStars (DAL)D252000-08-14CANYes185 Lbs6 ft0NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$2,934$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$15,306$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$2,934$0$0$No575,000$--------575,000$--------No--------
Tyson JostStars (DAL)LW281998-03-14CANYes187 Lbs5 ft11NoNoN/ANoNo22024-09-18FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$-----------------No--------
Vitali KravtsovStars (DAL)RW261999-12-23RUSYes186 Lbs6 ft3NoNoN/ANoNo22024-09-18FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3827.05195 Lbs6 ft12.181,035,864$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1J.J. PeterkaCole PerfettiCole Caufield35122
2Tyson JostMarco KasperCody Glass35122
3Joel KivirantaLaurent DauphinJonatan Berggren25122
4Maxime ComtoisAatu RätyMichael Raffl5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean WalkerHenri Jokiharju35122
2Artyom ZubNick Perbix35122
3Gavin BayreutherMark Friedman30122
4Sean WalkerHenri Jokiharju0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1J.J. PeterkaCole PerfettiCole Caufield60122
2Tyson JostMarco KasperCody Glass40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean WalkerHenri Jokiharju60122
2Artyom ZubNick Perbix40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole CaufieldCody Glass60122
2J.J. PeterkaCole Perfetti40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean WalkerHenri Jokiharju60122
2Artyom ZubNick Perbix40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Caufield60122Sean WalkerHenri Jokiharju60122
2Cody Glass40122Artyom ZubNick Perbix40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole CaufieldCody Glass60122
2J.J. PeterkaCole Perfetti40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean WalkerHenri Jokiharju60122
2Artyom ZubNick Perbix40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
J.J. PeterkaCole PerfettiCole CaufieldSean WalkerHenri Jokiharju
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
J.J. PeterkaCole PerfettiCole CaufieldSean WalkerHenri Jokiharju
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joel Kiviranta, Jonatan Berggren, Maxime ComtoisJoel Kiviranta, Jonatan BerggrenMaxime Comtois
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gavin Bayreuther, Mark Friedman, Artyom ZubGavin BayreutherMark Friedman, Artyom Zub
Tirs de pénalité
Cole Caufield, Cody Glass, J.J. Peterka, Cole Perfetti, Marco Kasper
Gardien
#1 : Erik Kallgren, #2 : Kaapo Kähkönen
Lignes d’attaque personnalisées en prolongation
Cole Caufield, Cody Glass, J.J. Peterka, Cole Perfetti, Marco Kasper, Tyson Jost, Joel Kiviranta, Jonatan Berggren, Maxime Comtois, Laurent Dauphin
Lignes de défense personnalisées en prolongation
Sean Walker, Henri Jokiharju, Artyom Zub, Nick Perbix, Gavin Bayreuther


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
1Avalanche843000012630-43210000012120522000011418-490.563264268007389988242850834840362347313922727622.22%37586.49%0894193746.15%881196744.79%574124446.14%1805107817657051378697R5
2Blackhawks640011001910933000000103731001100972110.91719325101738998818185083484036166623016520315.00%15380.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
3Blues6420000024231321000001011-1321000001412280.667243963007389988197850834840361955848168301136.67%19573.68%0894193746.15%881196744.79%574124446.14%1805107817657051378697R5
4Bruins22000000624110000002021100000042241.0006111701738998872850834840365931447300.00%20100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
5Canadiens20101000440100010003211010000012-120.500471100738998857850834840366325251200.00%10100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
6Canucks4200110017143210010009722100010087170.8751729460073899881408508348403611840229213430.77%11372.73%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
7Capitals21000001871110000004221000000145-130.75081220007389988628508348403669144534125.00%2150.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
8Devils2010010058-31010000024-21000010034-110.250510150073899886685083484036581515543133.33%5340.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
9Ducks532000001821-332100000121202110000069-360.60018314900738998814585083484036170503211412216.67%11281.82%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
10Flames41101010131122010001057-22100100084460.75013203300738998813285083484036127481898600.00%9188.89%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
11Flyers2010000147-31010000024-21000000123-110.250461000738998867850834840366619254400.00%10100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
12Islanders201010005501010000023-11000100032120.500561100738998862850834840367117846300.00%4175.00%1894193746.15%881196744.79%574124446.14%1805107817657051378697
13Kings40400000920-1120200000510-520200000410-600.000915240073899881238508348403611845269517211.76%13561.54%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
14Maple Leafs220000001073110000005321100000054141.00010172700738998870850834840366332949300.00%20100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
15Oilers413000001214-2211000007702020000057-220.2501223350073899881098508348403612344539512216.67%14564.29%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
16Penguins3210000011101211000008801100000032140.66711182910738998892850834840369536679200.00%30100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
17Predators615000001422-830300000310-7312000001112-120.16714223620738998817085083484036167549517734514.71%25772.00%1894193746.15%881196744.79%574124446.14%1805107817657051378697R5
18Rangers211000007521010000012-11100000063320.5007111800738998861850834840366929639300.00%30100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
19Red Wings21100000642110000004131010000023-120.5006101600738998869850834840365620063600.00%000%0894193746.15%881196744.79%574124446.14%1805107817657051378697
20Sabres21100000880110000005321010000035-220.5008132100738998873850834840367218435100.00%20100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
21Senateurs211000008801010000056-11100000032120.5008142200738998857850834840367722833100.00%40100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
22Sharks422000001720-321100000911-22110000089-140.500173047007389988133850834840361274126977114.29%8275.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
23Wild632010001617-13200100085331200000812-480.66716294500738998816785083484036145614218419421.05%21195.24%1894193746.15%881196744.79%574124446.14%1805107817657051378697
Total82363306313267277-1041201703010133133041161603303134144-10920.561267447714327389988254785083484036250885459921152324218.10%2124479.25%3894193746.15%881196744.79%574124446.14%1805107817657051378697
_Since Last GM Reset82363306313267277-1041201703010133133041161603303134144-10920.561267447714327389988254785083484036250885459921152324218.10%2124479.25%3894193746.15%881196744.79%574124446.14%1805107817657051378697
_Vs Conference57252404211185202-17281411020109095-52911130220195107-12630.553185312497217389988173985083484036169057653115121974020.30%1833978.69%2894193746.15%881196744.79%574124446.14%1805107817657051378697
_Vs Division3216120210199102-3159501000434121777011015661-5380.59499164263217389988957850834840369073083549211302922.31%1172182.05%2894193746.15%881196744.79%574124446.14%1805107817657051378697

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8292L126744771425472508854599211532
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8236336313267277
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120173010133133
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4116163303134144
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2324218.10%2124479.25%3
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
850834840367389988
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
894193746.15%881196744.79%574124446.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1805107817657051378697


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
14Stars2Avalanche3LXXR5Sommaire du match
416Predators4Stars1LSommaire du match
626Stars5Blues2WR5Sommaire du match
838Blackhawks0Stars2WSommaire du match
1046Stars1Predators6LR5Sommaire du match
1153Stars1Avalanche2LR5Sommaire du match
1470Stars4Blackhawks2WSommaire du match
1572Wild1Stars2WR5Sommaire du match
1991Blues3Stars4WSommaire du match
2099Stars2Avalanche6LR5Sommaire du match
24115Stars3Wild2WSommaire du match
25120Ducks3Stars5WR2Sommaire du match
28136Stars3Wild6LR5Sommaire du match
30143Avalanche8Stars3LR5Sommaire du match
31153Stars2Oilers3LSommaire du match
34166Blues2Stars4WR5Sommaire du match
38186Stars3Canucks4LXR2Sommaire du match
40191Blackhawks2Stars3WSommaire du match
42209Avalanche2Stars5WR5Sommaire du match
43216Stars4Avalanche3WSommaire du match
46230Stars3Sabres5LSommaire du match
48238Penguins5Stars3LSommaire du match
50249Stars2Flyers3LXXSommaire du match
52256Stars7Predators2WR5Sommaire du match
54264Red Wings1Stars4WSommaire du match
56279Stars5Canucks3WR2Sommaire du match
58287Sabres3Stars5WSommaire du match
60295Stars5Maple Leafs4WSommaire du match
62311Maple Leafs3Stars5WSommaire du match
64323Stars3Oilers4LR2Sommaire du match
65332Stars1Kings6LR2Sommaire du match
67340Rangers2Stars1LSommaire du match
70356Stars3Flames2WXR2Sommaire du match
71360Penguins3Stars5WSommaire du match
76383Flyers4Stars2LSommaire du match
78394Stars3Blues5LR5Sommaire du match
80405Predators3Stars1LSommaire du match
83422Stars3Islanders2WXSommaire du match
84429Blues6Stars2LR5Sommaire du match
90452Ducks2Stars4WR2Sommaire du match
94471Devils4Stars2LSommaire du match
96479Stars3Kings4LR2Sommaire du match
100500Predators3Stars1LSommaire du match
102511Stars3Penguins2WSommaire du match
104520Wild1Stars2WR5Sommaire du match
106536Stars5Flames2WR2Sommaire du match
107545Bruins0Stars2WSommaire du match
109556Stars2Red Wings3LSommaire du match
111568Sharks7Stars3LR2Sommaire du match
113577Stars3Senateurs2WSommaire du match
115589Stars4Bruins2WSommaire du match
116597Oilers3Stars4WR2Sommaire du match
121618Kings3Stars2LR2Sommaire du match
124637Senateurs6Stars5LSommaire du match
127651Stars3Sharks6LR2Sommaire du match
129658Capitals2Stars4WSommaire du match
131669Stars4Capitals5LXXSommaire du match
133683Stars6Blues5WR5Sommaire du match
134688Wild3Stars4WXR5Sommaire du match
137701Stars6Rangers3WSommaire du match
140713Oilers4Stars3LR2Sommaire du match
143730Stars3Predators4LR5Sommaire du match
144737Sharks4Stars6WR2Sommaire du match
147749Stars5Avalanche4WSommaire du match
149761Flames2Stars3WXXR2Sommaire du match
152779Stars5Ducks4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153786Kings7Stars3LR2Sommaire du match
156801Stars3Blackhawks2WXSommaire du match
158809Blackhawks1Stars5WR5Sommaire du match
160825Stars2Blackhawks3LXSommaire du match
162832Canucks4Stars5WR2Sommaire du match
164843Stars5Sharks3WR2Sommaire du match
166854Flames5Stars2LSommaire du match
168864Stars3Devils4LXSommaire du match
171875Stars2Wild4LR5Sommaire du match
173888Islanders3Stars2LSommaire du match
177908Canadiens2Stars3WXSommaire du match
178915Stars1Canadiens2LSommaire du match
181927Stars1Ducks5LR2Sommaire du match
182936Avalanche2Stars4WR5Sommaire du match
186956Canucks3Stars4WXSommaire du match
193979Ducks7Stars3LR2Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance81,66440,688
Assistance PCT99.59%99.24%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
0 2984 - 99.47% 127,606$5,231,842$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,828,885$ 3,936,284$ 3,936,284$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,833,982$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 25,185$ 25,185$




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