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Stars
GP: 82 | W: 43 | L: 30 | OTL: 9 | P: 95
GF: 278 | GA: 261 | PP%: 16.48% | PK%: 81.18%
DG: Guillaume Blanchet | Morale : 65 | Moyenne d’équipe : 67
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Centre de jeu
Stars
43-30-9, 95pts
3
FINAL
1 Sabres
37-39-6, 80pts
Team Stats
L1SéquenceOTL1
24-14-3Fiche domicile17-22-2
19-16-6Fiche domicile20-17-4
4-5-1Derniers 10 matchs1-8-1
3.39Buts par match 3.01
3.18Buts contre par match 2.95
16.48%Pourcentage en avantage numérique20.26%
81.18%Pourcentage en désavantage numérique85.59%
Blackhawks
41-34-7, 89pts
4
FINAL
3 Stars
43-30-9, 95pts
Team Stats
W6SéquenceL1
22-15-4Fiche domicile24-14-3
19-19-3Fiche domicile19-16-6
8-2-0Derniers 10 matchs4-5-1
3.11Buts par match 3.39
3.07Buts contre par match 3.18
19.20%Pourcentage en avantage numérique16.48%
81.82%Pourcentage en désavantage numérique81.18%
Meneurs d'équipe
Buts
Cole Caufield
52
Passes
Cody Glass
52
Points
Cole Caufield
96
Plus/Moins
Cole Caufield
21
Victoires
Kaapo Kähkönen
40
Pourcentage d’arrêts
Kaapo Kähkönen
0.907

Statistiques d’équipe
Buts pour
278
3.39 GFG
Tirs pour
2759
33.65 Avg
Pourcentage en avantage numérique
16.5%
45 GF
Début de zone offensive
38.8%
Buts contre
261
3.18 GAA
Tirs contre
2669
32.55 Avg
Pourcentage en désavantage numérique
81.2%%
48 GA
Début de la zone défensive
38.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,952
Billets de saison2,850


Informations de la formation

Équipe Pro33
Équipe Mineure20
Limite contact 53 / 60
Espoirs27


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
1Cody Glass (R)X100.0074458676868483827478747225786654497202531,500,000$
2Cole Caufield (R)X100.006240889074877585407183622586615271720231880,833$
3Tyson Jost (R)X100.007560747977838777637667742575796775710261900,000$
4Maxime Comtois (R)X100.007478617385848375557874672573715973700252900,000$
5J.J. Peterka (R)X100.006650807981847881457772652578594975702223855,833$
6Stanislav Galiev (R)X100.008873366975656873549672496191873971690322900,000$
7Jordan Weal (R)X100.0063428368706680768477736569898244726903221,000,000$
8Cole Perfetti (R)X100.006745838079857379507768672576594952690222894,167$
9Jonatan Berggren (R)X100.006545877982837380457375642579554970692233925,000$
10Laurent Dauphin (R)X100.006740807375817866816663872568816971680292800,000$
11Joel Kiviranta (R)X100.008250747674848372406167732573665472670283800,000$
12Chris Wagner (R)X100.0080488164766486658369646961898038536603211,000,000$
13Henri Jokiharju (R)X100.0068507376829183764071657625737159737202421,000,000$
14Sean Walker (R)X100.0074507475778385774071667825737159797202921,250,000$
15Artyom Zub (R)X100.007255667581897571407568772571615262710281925,000$
16Nick Perbix (R)X100.007345817580847378407467742575554936702253842,500$
17Gavin Bayreuther (R)X100.006655767479848073407163732571715946690291600,000$
18Mark Friedman (R)X100.007055787474847569406262692569715972670282575,000$
19Marcus Bjork (R)X100.006350597387876571406765692571534922662263925,000$
Rayé
1Justin Dowling (R)X100.006532997076535766567570682588775725650331575,000$
2Vitali Kravtsov (R)X100.006840867581817570406464662570605320650241925,000$
3Kristian Vesalainen (R)X100.006836996678638469227467592570727420640242600,000$
4Marian Studenic (R)X100.006440677162636465437368672566525019620252750,000$
5Garrett Wilson (R)X100.006032816774478153575148735975624120580331575,000$
6Aatu Räty (R)X100.006440726864555562576154602561505020571213863,667$
7Benoit-Olivier Groulx (R)X100.006445666775737665784242655745456319560242822,500$
8William Eklund (R)X100.005445656959555564436359512564505020562213894,167$
9Taylor Fedun (R)X100.005340726575737464406658792560757119650351700,000$
10Libor Hajek (R)X100.006345676369686968407065662571727019630262800,000$
11Jack Rathbone (R)X100.005740727168696467407471652563525020630241925,000$
12Ryan Merkley (R)X100.007164866971667051253333593846465119560232863,333$
MOYENNE D’ÉQUIPE100.00684876737675747150696568317265544666
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)100.00818788909095969593836984665776860271725,000$
2Jean-François Berube (R)100.00806690748193888787705284754175790321600,000$
Rayé
MOYENNE D’ÉQUIPE100.0081778982869492919077618471497683
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo8066787660551CAN4925,000,000$


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)RW8252449621161012412044410922311.71%38175421.4010152559241101102193035.00%30011627221.092101101435
2Cody GlassStars (DAL)C742952812128201141922326313512.50%36152520.62611173119211261815150.86%17973728001.06010112568
3Tyson JostStars (DAL)LW8019355417136601751071775613110.73%46161420.1975122623611231393143.48%1384730000.6718741231
4Jonatan BerggrenStars (DAL)RW802725527191562852187113112.39%2499812.48336980000185146.30%545117011.0401021543
5Cole PerfettiStars (DAL)C78193251-34125101148214681088.88%37115414.813361398000074444.83%11604114000.8801032135
6Maxime ComtoisStars (DAL)LW75193049-62071151491071765810910.80%25127216.97448121311121615246.81%943122000.77046710033
7J.J. PeterkaStars (DAL)LW71222244545259082224671129.82%22106214.972139510003230129.47%953523000.8304113252
8Stanislav GalievStars (DAL)RW82192241-11226130184731505110512.67%21105612.881453730000331051.85%813210000.78128711172
9Jordan WealStars (DAL)RW802119403958176173589312.14%16100012.511231420000144383.02%532515000.8023100223
10Sean WalkerStars (DAL)D54528335452599996723237.46%74128723.84268131880114151010%01132000.5100122111
11Laurent DauphinStars (DAL)C80102030-21359016487184411.49%35111713.972138810000170153.18%1023819000.5400100212
12Henri JokiharjuStars (DAL)D74226281385251311177236352.78%95177023.93178122390441194100%02164000.3200221002
13Artyom ZubStars (DAL)D8141620494301301298433294.76%88175721.6912351780000156000%01549000.2300042010
14Vincent HinostrozaStarsC1571219340254458174212.07%832821.8823514541012502043.38%468145001.1600000121
15Joel KivirantaStars (DAL)LW8271219-1181090629119487.69%226838.340001160001163135.71%281318000.5600200011
16Nick PerbixStars (DAL)D7421719-22610881278034292.50%83155120.9701161440000133000%02062000.2400020000
17Mark FriedmanStars (DAL)D77312151319562835122225.88%64129116.78011035000063100%01242100.2311001010
18Chris WagnerStars (DAL)C6729112121048553310266.06%195688.48000010001311058.02%243711000.3912011001
19Gavin BayreutherStars (DAL)D7128100713579945124213.92%61125117.63000065000058000%01246000.1600052010
20Marcus BjorkStars (DAL)D400668582044582612160%3467416.86000014000033000%0122000.1800211000
21Justin DowlingStars (DAL)C12202100711113318.18%1726.0700000000001030.43%2310000.5500000000
22Marian StudenicStars (DAL)LW91120205314527.14%3596.66000000000000100.00%101000.6700000000
23Kristian VesalainenStars (DAL)LW1510100081312488.33%11419.4200001000030012.50%801000.1400000000
24Taylor FedunStars (DAL)D170111115111911530%1325715.1200001000014000%019000.0800001000
25Sheldon DriesStarsRW2011-100401100%02412.3300000000040040.00%2011000.8100000000
26Libor HajekStars (DAL)D4000220432000%76115.430000000004000%02200000000000
27Vitali KravtsovStars (DAL)RW4000-100213330%0287.160000000000000%13000000000000
Statistiques d’équipe totales ou en moyenne148027545072599118758520072072276287015019.96%8732436916.47456911422221715813331622391648.27%5587557570330.60846334341364440
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)74402560.9073.004326812162313940010.806317210853
2Jean-François BerubeStars (DAL)123530.8933.556430038355152000.714141072101
Statistiques d’équipe totales ou en moyenne86433090.9053.074970812542668109201458282954


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Aatu RätyStars (DAL)C212002-11-14 14:51:18Yes185 Lbs6 ft2NoNoN/ANoNo3Pro & Farm863,667$0$0$No863,667$863,667$-------NoNo-------
Artyom ZubStars (DAL)D281995-10-03 03:56:47Yes200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Benoit-Olivier GroulxStars (DAL)C242000-02-06 13:49:23Yes194 Lbs6 ft2NoNoN/ANoNo2Pro & Farm822,500$0$0$No822,500$--------No--------
Chris WagnerStars (DAL)C321991-05-27 23:11:13Yes198 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------
Cody GlassStars (DAL)C251999-04-01 07:03:41Yes206 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Cole CaufieldStars (DAL)RW232001-01-02 14:09:19Yes174 Lbs5 ft7NoNoN/ANoNo1Pro & Farm880,833$0$0$No------------------
Cole PerfettiStars (DAL)C222002-01-01 13:51:18Yes184 Lbs5 ft11NoNoN/ANoNo2Pro & Farm894,167$0$0$No894,167$--------No--------
Garrett WilsonStars (DAL)RW331991-03-16 23:11:13Yes199 Lbs6 ft2NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Gavin BayreutherStars (DAL)D291994-05-12 08:43:20Yes196 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Henri JokiharjuStars (DAL)D241999-06-17 12:02:07Yes200 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
J.J. PeterkaStars (DAL)LW222002-01-14 14:52:53Yes189 Lbs6 ft0NoNoN/ANoNo3Pro & Farm855,833$0$0$No855,833$855,833$-------NoNo-------
Jack RathboneStars (DAL)D241999-05-20 14:03:09Yes176 Lbs5 ft10NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Jean-François BerubeStars (DAL)G321991-07-13 12:32:53Yes179 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Joel KivirantaStars (DAL)LW281996-03-23 11:10:54Yes185 Lbs5 ft11NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Jonatan BerggrenStars (DAL)RW232000-07-16 14:56:22Yes197 Lbs5 ft11NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Jordan WealStars (DAL)RW321992-04-15 16:19:58Yes179 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
Justin DowlingStars (DAL)C331990-10-01 04:01:49Yes180 Lbs5 ft10NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Kaapo KähkönenStars (DAL)G271996-08-16 13:55:07Yes217 Lbs6 ft2NoNoN/ANoNo1Pro & Farm725,000$0$0$No------------------
Kristian VesalainenStars (DAL)LW241999-06-01 09:07:20Yes207 Lbs6 ft4NoNoTrade2024-01-26NoNo2Pro & Farm600,000$0$0$No600,000$--------No--------
Laurent DauphinStars (DAL)C291995-03-27 16:22:44Yes186 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Libor HajekStars (DAL)D261998-02-04 11:55:38Yes205 Lbs6 ft3NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Marcus BjorkStars (DAL)D261997-11-24 03:56:05Yes211 Lbs6 ft4NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Marian StudenicStars (DAL)LW251998-10-28 10:22:55Yes181 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Mark FriedmanStars (DAL)D281995-12-25 11:57:43Yes185 Lbs5 ft11NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Maxime ComtoisStars (DAL)LW251999-01-08 11:59:44Yes210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------
Nick PerbixStars (DAL)D251998-06-15 12:43:42Yes191 Lbs6 ft2NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------
Ryan MerkleyStars (DAL)D232000-08-14 13:28:12Yes185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm863,333$0$0$No863,333$--------No--------
Sean WalkerStars (DAL)D291994-11-13 04:55:59Yes195 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------
Stanislav GalievStars (DAL)RW321992-01-17 05:11:13Yes193 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------
Taylor FedunStars (DAL)D351988-06-04 05:11:13Yes201 Lbs6 ft1NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------
Tyson JostStars (DAL)LW261998-03-14 11:00:15Yes187 Lbs5 ft11NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------
Vitali KravtsovStars (DAL)RW241999-12-23 14:01:13Yes186 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
William EklundStars (DAL)C212002-10-12 14:58:05Yes176 Lbs5 ft10NoNoN/ANoNo3Pro & Farm894,167$0$0$No894,167$894,167$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3326.67192 Lbs6 ft11.88851,273$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostCody GlassCole Caufield35122
2Maxime ComtoisLaurent DauphinStanislav Galiev35122
3J.J. PeterkaCole PerfettiJordan Weal25122
4Joel KivirantaChris WagnerJonatan Berggren5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henri JokiharjuArtyom Zub35122
2Nick PerbixGavin Bayreuther35122
3Mark FriedmanMarcus Bjork30122
4Henri JokiharjuArtyom Zub0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostCody GlassCole Caufield60122
2Maxime ComtoisLaurent DauphinStanislav Galiev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henri JokiharjuArtyom Zub60122
2Nick PerbixGavin Bayreuther40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole CaufieldCody Glass60122
2Tyson JostMaxime Comtois40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henri JokiharjuArtyom Zub60122
2Nick PerbixGavin Bayreuther40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Caufield60122Henri JokiharjuArtyom Zub60122
2Cody Glass40122Nick PerbixGavin Bayreuther40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole CaufieldCody Glass60122
2Tyson JostMaxime Comtois40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henri JokiharjuArtyom Zub60122
2Nick PerbixGavin Bayreuther40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostCody GlassCole CaufieldHenri JokiharjuArtyom Zub
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostCody GlassCole CaufieldHenri JokiharjuArtyom Zub
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
J.J. Peterka, Jordan Weal, Cole PerfettiJ.J. Peterka, Jordan WealCole Perfetti
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Friedman, Marcus Bjork, Nick PerbixMark FriedmanMarcus Bjork, Nick Perbix
Tirs de pénalité
Cole Caufield, Cody Glass, Tyson Jost, Maxime Comtois, J.J. Peterka
Gardien
#1 : Jean-François Berube, #2 : Kaapo Kähkönen
Lignes d’attaque personnalisées en prolongation
Cole Caufield, Cody Glass, Tyson Jost, Maxime Comtois, J.J. Peterka, Stanislav Galiev, Stanislav Galiev, Laurent Dauphin, Jordan Weal, Cole Perfetti, Jonatan Berggren
Lignes de défense personnalisées en prolongation
Henri Jokiharju, Artyom Zub, Nick Perbix, Gavin Bayreuther, Mark Friedman


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Avalanche52101001161602110000056-1310010011110170.70016264200761167812148870936931681554510714231412.90%21195.24%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
2Blackhawks53200000161243210000011832110000054160.60016244000761167812175870936931681675217810629310.34%24770.83%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
3Blues6420000028253330000001495312000001416-280.66728457300761167812208870936931681947313016133721.21%30680.00%11054215149.00%1020210548.46%623128148.63%1774104618097421393691
4Bruins4110101017170311000101011-11000100076160.75017294600761167812139870936931681385340107700.00%5260.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
5Canadiens32100000131121010000046-22200000095440.66713203300761167812113870936931681182313605240.00%4175.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
6Canucks422000001516-12200000094520200000612-640.50015213600761167812141870936931681333746789111.11%80100.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
7Capitals31100100911-21010000024-22100010077030.5009152400761167812100870936931681082518753133.33%9188.89%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
8Devils310000111091100000103212100000177050.8331015250076116781210587093693168843515817228.57%50100.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
9Ducks3020000149-51010000024-22010000125-310.16747110076116781294870936931689636416710110.00%13192.31%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
10Flames32100000141041100000042221100000108240.6671423370076116781210687093693168913565816466.67%10370.00%11054215149.00%1020210548.46%623128148.63%1774104618097421393691
11Flyers311000101082201000107701100000031240.667101727007611678128187093693168124391870100.00%40100.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
12Islanders300011011112-11000010045-12000100177040.667111829007611678121168709369316811327961400.00%2150.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
13Kings3120000078-1110000002112020000057-220.3337111800761167812918709369316891313583900.00%100100.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
14Maple Leafs31200000910-1110000003122020000069-320.33391524007611678129187093693168923722865120.00%6266.67%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
15Oilers311001001113-220100100610-41100000053230.50011193000761167812102870936931689124486516212.50%14285.71%21054215149.00%1020210548.46%623128148.63%1774104618097421393691
16Penguins30300000912-32020000057-21010000045-100.00091322007611678129387093693168954045689222.22%10370.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
17Predators50500000720-1330300000410-620200000310-700.000711181076116781216687093693168158621191322114.76%27870.37%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
18Rangers3300000014592200000011471100000031261.00014243800761167812103870936931689033316214321.43%30100.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
19Red Wings31100001910-1211000007701000000123-130.50091524007611678121208709369316810839956200.00%2150.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
20Sabres3200000110731000000123-12200000084450.83310192900761167812119870936931681042613853133.33%4175.00%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
21Senateurs321000001073110000003122110000076140.66710162600761167812109870936931689429266411327.27%8187.50%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
22Sharks3200001013492100001010371100000031261.00013233600761167812100870936931688430597512325.00%12283.33%01054215149.00%1020210548.46%623128148.63%1774104618097421393691
23Wild5310100016973200100011652110000053280.80016244001761167812139870936931681414210814226415.38%24579.17%11054215149.00%1020210548.46%623128148.63%1774104618097421393691
Total8235300434627826117411914012411391211841161603105139140-1950.579278450728117611678122759870936931682669873119520072734516.48%2554881.18%51054215149.00%1020210548.46%623128148.63%1774104618097421393691
_Since Last GM Reset8235300434627826117411914012411391211841161603105139140-1950.579278450728117611678122759870936931682669873119520072734516.48%2554881.18%51054215149.00%1020210548.46%623128148.63%1774104618097421393691
_Vs Conference452019021121471425231370111078631522712010026979-10490.54414723438111761167812147087093693168140146793611322023014.85%1933581.87%51054215149.00%1020210548.46%623128148.63%1774104618097421393691
_Vs Division2612110200183821148501000453961246010013843-5290.5588313021311761167812836870936931688152746426831401913.57%1262778.57%21054215149.00%1020210548.46%623128148.63%1774104618097421393691

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8295L1278450728275926698731195200711
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8235304346278261
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119141241139121
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4116163105139140
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2734516.48%2554881.18%5
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
87093693168761167812
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
1054215149.00%1020210548.46%623128148.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1774104618097421393691


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
314Wild1Stars2BWR5Sommaire du match
527Predators3Stars1BLSommaire du match
741Stars5Senateurs3AWSommaire du match
850Wild2Stars5BWR5Sommaire du match
1163Stars3Islanders2AWXSommaire du match
1475Blackhawks1Stars3BWR5Sommaire du match
1580Stars4Avalanche3AWR5Sommaire du match
1894Stars5Capitals4AWSommaire du match
20102Stars2Kings3ALR2Sommaire du match
22113Bruins2Stars4BWSommaire du match
24128Blues4Stars5BWR5Sommaire du match
26136Stars4Maple Leafs5ALSommaire du match
28151Oilers6Stars5BLXR2Sommaire du match
30162Stars6Blues5AWR5Sommaire du match
33175Canucks1Stars4BWR2Sommaire du match
37195Penguins3Stars2BLSommaire du match
40207Stars6Canadiens4AWSommaire du match
42221Canadiens6Stars4BLSommaire du match
44232Stars2Senateurs3ALSommaire du match
46243Penguins4Stars3BLSommaire du match
49255Stars5Sabres3AWSommaire du match
51266Sabres3Stars2BLXXSommaire du match
53278Stars5Devils4AWSommaire du match
55292Predators5Stars2BLR5Sommaire du match
57305Stars3Wild0AWR5Sommaire du match
59313Stars3Sharks1AWR2Sommaire du match
61322Blues2Stars4BWSommaire du match
64339Stars2Blackhawks3ALR5Sommaire du match
66346Bruins5Stars1BLSommaire du match
69364Ducks4Stars2BLR2Sommaire du match
71375Stars2Capitals3ALXSommaire du match
73387Oilers4Stars1BLR2Sommaire du match
77403Stars7Bruins6AWXSommaire du match
79412Wild3Stars4BWXR5Sommaire du match
81420Stars4Avalanche3AWXR5Sommaire du match
83430Stars2Devils3ALXXSommaire du match
85439Stars3Kings4ALR2Sommaire du match
86446Rangers2Stars6BWSommaire du match
90465Devils2Stars3BWXXSommaire du match
93484Stars3Canadiens1AWSommaire du match
95491Predators2Stars1BLR5Sommaire du match
97498Stars4Islanders5ALXXSommaire du match
99512Stars3Blackhawks1AWR5Sommaire du match
100519Flyers4Stars3BLSommaire du match
104539Senateurs1Stars3BWSommaire du match
106548Stars2Wild3ALR5Sommaire du match
109561Rangers2Stars5BWSommaire du match
111573Stars4Penguins5ALSommaire du match
113581Stars2Maple Leafs4ALSommaire du match
115588Stars2Red Wings3ALXXSommaire du match
116594Maple Leafs1Stars3BWSommaire du match
119609Stars3Canucks7ALR2Sommaire du match
121619Blues3Stars5BWSommaire du match
123635Stars5Oilers3AWR2Sommaire du match
124641Kings1Stars2BWR2Sommaire du match
127654Stars4Blues5ALSommaire du match
129666Flames2Stars4BWR2Sommaire du match
134686Canucks3Stars5BWSommaire du match
136696Stars3Rangers1AWSommaire du match
138707Stars4Blues6ALR5Sommaire du match
140715Flyers3Stars4BWXXSommaire du match
142732Sharks1Stars7BWR2Sommaire du match
147754Red Wings4Stars2BLSommaire du match
151776Avalanche1Stars3BWR5Sommaire du match
153789Stars3Canucks5ALSommaire du match
154795Stars3Flyers1AWSommaire du match
155803Bruins4Stars5BWXXSommaire du match
158820Capitals4Stars2BLSommaire du match
159825Stars3Flames4ALR2Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161832Stars3Avalanche4ALXXSommaire du match
163848Red Wings3Stars5BWSommaire du match
164855Stars1Ducks2ALXXR2Sommaire du match
167870Avalanche5Stars2BLR5Sommaire du match
168876Stars1Predators7ALSommaire du match
169882Stars1Ducks3ALR2Sommaire du match
171894Stars7Flames4AWR2Sommaire du match
173903Stars2Predators3ALSommaire du match
174911Sharks2Stars3BWXXR2Sommaire du match
179932Blackhawks3Stars5BWSommaire du match
181947Islanders5Stars4BLXSommaire du match
185960Stars3Sabres1AWSommaire du match
190973Blackhawks4Stars3BLR5Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance80,80340,233
Assistance PCT98.54%98.13%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2952 - 98.40% 126,239$5,175,799$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
7,723,956$ 2,809,200$ 1,391,950$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,723,959$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 40,462$ 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

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