Connexion

Stars
GP: 82 | W: 43 | L: 36 | OTL: 3 | P: 89
GF: 285 | GA: 278 | PP%: 25.62% | PK%: 74.35%
DG: Julien Desrosiers | Morale : 50 | Moyenne d’équipe : 55
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Centre de jeu
Stars
43-36-3, 89pts
4
FINAL
5 Sharks
57-21-4, 118pts
Team Stats
W1StreakW6
28-11-2Home Record33-7-1
15-25-1Away Record24-14-3
6-4-0Last 10 Games8-1-1
3.48Goals Per Game3.88
3.39Goals Against Per Game2.90
25.62%Power Play Percentage23.35%
74.35%Penalty Kill Percentage79.14%
Stars
43-36-3, 89pts
7
FINAL
6 Monarchs
36-38-8, 80pts
Team Stats
W1StreakL3
28-11-2Home Record20-17-4
15-25-1Away Record16-21-4
6-4-0Last 10 Games6-4-0
3.48Goals Per Game3.38
3.39Goals Against Per Game3.62
25.62%Power Play Percentage20.08%
74.35%Penalty Kill Percentage77.65%
Meneurs d'équipe
Buts
Ty Smith
6
Passes
Ty Smith
42
Points
Ty Smith
48
Plus/Moins
Ty Smith
-13
Victoires
Scott Wedgewood
42
Pourcentage d’arrêts
Magnus Chrona
0.941

Statistiques d’équipe
Buts pour
285
3.48 GFG
Tirs pour
2975
36.28 Avg
Pourcentage en avantage numérique
25.6%
62 GF
Début de zone offensive
40.4%
Buts contre
278
3.39 GAA
Tirs contre
3068
37.41 Avg
Pourcentage en désavantage numérique
74.3%
59 GA
Début de la zone défensive
40.3%
Information d’équipe

Directeur généralJulien Desrosiers
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,998
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 50
Espoirs14


Historique d'équipe

Saison actuelle43-36-3 (89PTS)
Historique43-36-5 (0.512%)
Apparitions séries éliminatoires
Historique séries éliminatoires (W-L)-


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Jordan MartinookXXX100.008545838271637259566559732567680506402831,500,000$
2Kailer YamamotoX100.00754285835473806525706865255657050640221925,000$
3Tobias RiederXXX100.006541988467627758295560842569700506402721,700,000$
4Sam SteelXX100.00754393816768816788626666255959050640221925,000$
5Taylor RaddyshXX100.00828088638068686880656869654444050630221742,500$
6Alexander VolkovX100.00754394777259725736637167255960050620232864,167$
7Ondrej KaseX100.005639868670703469317161597559600506202433,000,000$
8Michael McCarronXX100.00748450658858555670485963255050050570251620,000$
9Liam Hawel (R)X100.00777290637253545265564463424444050540213525,000$
10Linus Karlsson (R)X100.00504482686569925056464455465456050540204700,000$
11Hudson ElynuikX100.00737568637558605063474860464444050530221700,000$
12Martin FehervaryX100.00787974727270666328595167444445050620203805,835$
13Thomas Harley (R)X100.00747377667371755925515363504445050600193894,167$
14Zachary Jones (R)X100.00714293706765476625684768754444050600193925,000$
15Jake BeanX100.00634191676965786425604759754848050590221925,000$
16Alec Regula (R)X100.00827891647858615025325265494444050570204866,667$
17Louie Belpedio (R)X100.00697067667062655025404658444444050550241925,000$
Rayé
1Alexander Holtz (R)X100.00766699636650505050494762454444050530183925,000$
2Antonio Stranges (R)XX100.00726099636055584759454459424444050510184560,000$
3Nathan Smith (R)X100.00534883667055684657444049425858050510214650,000$
4Niklas Nordgren (R)X100.00504381656339423950373443365050050440204700,000$
5Joni Ikonen (R)X100.00423798646231303549283639395454050410213825,000$
6Jesse Gabrielle (R)X100.00344040407133333440343440373230050370231742,500$
7Connor Hall (R)X100.00374343436335353743373743403230050400221700,000$
MOYENNE D’ÉQUIPE100.0066558168695861544651516043495005055
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 SP
1Scott Wedgewood100.0059566979625556616058755555050600
2Magnus Chrona (R)100.0046585689404551484445455050050510
Rayé
1Spencer Knight (R)100.0042526578404340464040304444050470
MOYENNE D’ÉQUIPE100.004955638247484952484850505005053
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Jordan MartinookStars (Dal)C/LW/RW763961100826018629637510825510.40%48177623.38514195320310151767351.41%223900001.1328000965
2Alexander VolkovStars (Dal)RW8255429741405417149412434811.13%21156119.041015255714701127814338.43%22900031.2436000775
3Zachary JonesStars (Dal)D828657314260989913038836.15%142171320.9041721691850001162010.00%000000.8501000125
4Taylor RaddyshStars (Dal)C/RW74343771-15152052004011173128.48%18164722.26713205417001151444360.09%156600010.8637100544
5Michael McCarronStars (Dal)C/RW82264369191152921962518719510.36%17153618.7481119251430000624058.08%185100020.9001030566
6Martin FehervaryStars (Dal)D79125567-442020380156421127.69%126172021.7861723701900000161230.00%000010.7800000334
7Ondrej KaseStars (Dal)RW82342458310035196360892169.44%17139016.9512315660001742245.00%10000000.8325000432
8Thomas HarleyStars (Dal)D82144155752020048118357911.86%136167720.466915451811011150120.00%000000.6600000213
9Ty SmithDallasD4764248-1316041899029606.67%87118825.292111351114000196000.00%000000.8100000032
10Kailer YamamotoStars (Dal)RW35232144108064862025013711.39%1382223.5045928980002851226.86%24200021.0713000531
11Liam HawelStars (Dal)C8242731-236014913712837923.13%18128915.73033846000190052.17%115200000.4800000001
12Jake BeanStars (Dal)D8242226412055685324497.55%90137716.792021477000077000.00%000000.3811000010
13Antonio StrangesStars (Dal)C/LW731113243140495011735669.40%12139119.07538241620002391249.49%9900000.3400000000
14Linus KarlssonStars (Dal)C82131023-14602570117286811.11%13125215.2800027000072145.47%49700000.3700000111
15Alec RegulaStars (Dal)D8251520-16410128427726546.49%85116614.2300007000034200.00%000000.3400002200
16Sam SteelStars (Dal)C/LW1781018-1120265973206410.96%336421.4324611370000390162.80%42200000.9901000011
17Tobias RiederStars (Dal)C/LW/RW145611-2204386115348.20%531922.832138400001360034.55%33000000.6912000001
18Louie BelpedioStars (Dal)D8201010-332075203213210.00%627679.3500038000135000.00%000000.2600000000
19Hudson ElynuikStars (Dal)C77448-9120392736153811.11%53134.082136250000100060.00%8000000.5100000000
20Alexander HoltzStars (Dal)RW143255005382537.50%0553.9500010000030066.67%300001.8100000000
21Jesse GabrielleStars (Dal)LW21000220711240.00%135717.04000046000010043.33%3000000.0000000000
Statistiques d’équipe totales ou en moyenne1347308550858115283019401976328093622929.39%9192369117.59661261925441962224231490402352.98%884000090.721335132444141
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
1Scott WedgewoodStars (Dal)82423630.9103.3247796126429300430.72733820752
2Magnus ChronaStars (Dal)61000.9412.581860081350000.0000082000
Statistiques d’équipe totales ou en moyenne88433630.9113.2949666127230650430.727338282752


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Alec RegulaStars (Dal)D202000-08-05Yes208 Lbs6 ft4NoNoNo4Pro & Farm866,667$86,667$0$No866,667$866,667$866,667$Lien
Alexander HoltzStars (Dal)RW182002-01-23Yes181 Lbs5 ft11NoNoNo3Pro & Farm925,000$92,500$0$No925,000$925,000$Lien
Alexander VolkovStars (Dal)RW231997-08-01No195 Lbs6 ft1NoNoNo2Pro & Farm864,167$86,417$0$No864,167$Lien
Antonio StrangesStars (Dal)C/LW182002-02-05Yes168 Lbs5 ft10NoNoNo4Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$Lien
Connor HallStars (Dal)D221998-02-21Yes192 Lbs6 ft4NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Hudson ElynuikStars (Dal)C221997-10-12No194 Lbs6 ft5NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Jake BeanStars (Dal)D221998-06-09No186 Lbs6 ft1NoNoNo1Pro & Farm925,000$92,500$0$NoLien
Jesse GabrielleStars (Dal)LW231997-06-17Yes205 Lbs6 ft0NoNoNo1Pro & Farm742,500$74,250$0$NoLien
Joni IkonenStars (Dal)C211999-04-14Yes172 Lbs5 ft11NoNoNo3Pro & Farm825,000$82,500$0$No825,000$825,000$Lien
Jordan MartinookStars (Dal)C/LW/RW281992-07-25No196 Lbs6 ft0NoNoNo3Pro & Farm1,500,000$150,000$0$No1,500,000$1,500,000$Lien
Kailer YamamotoStars (Dal)RW221998-09-29No153 Lbs5 ft8NoNoNo1Pro & Farm925,000$92,500$0$NoLien
Liam HawelStars (Dal)C211999-04-18Yes183 Lbs6 ft5NoNoNo3Pro & Farm525,000$52,500$0$No525,000$525,000$Lien
Linus KarlssonStars (Dal)C201999-11-16Yes179 Lbs6 ft1NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$Lien
Louie BelpedioStars (Dal)D241996-05-14Yes196 Lbs5 ft11NoNoNo1Pro & Farm925,000$92,500$0$NoLien
Magnus ChronaStars (Dal)G202000-08-28Yes216 Lbs6 ft6NoNoNo4Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$Lien
Martin FehervaryStars (Dal)D201999-10-06No194 Lbs6 ft2NoNoNo3Pro & Farm805,835$80,584$0$No805,835$805,835$Lien
Michael McCarronStars (Dal)C/RW251995-03-07No232 Lbs6 ft6NoNoNo1Pro & Farm620,000$62,000$0$NoLien
Nathan SmithStars (Dal)C211998-10-18Yes190 Lbs6 ft1NoNoNo4Pro & Farm650,000$65,000$0$No650,000$650,000$650,000$Lien
Niklas NordgrenStars (Dal)RW202000-05-04Yes183 Lbs5 ft9NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$Lien
Ondrej KaseStars (Dal)RW241995-11-08No190 Lbs6 ft0NoNoNo3Pro & Farm3,000,000$300,000$0$No3,000,000$3,000,000$Lien
Sam SteelStars (Dal)C/LW221998-02-03No189 Lbs5 ft11NoNoNo1Pro & Farm925,000$92,500$0$NoLien
Scott WedgewoodStars (Dal)G281992-08-13No207 Lbs6 ft2NoNoNo3Pro & Farm700,000$70,000$0$No700,000$700,000$Lien
Spencer KnightStars (Dal)G192001-04-18Yes192 Lbs6 ft3NoNoNo3Pro & Farm925,000$92,500$0$No925,000$925,000$Lien
Taylor RaddyshStars (Dal)C/RW221998-02-18No216 Lbs6 ft3NoNoNo1Pro & Farm742,500$74,250$0$NoLien
Thomas HarleyStars (Dal)D192001-08-18Yes190 Lbs6 ft3NoNoNo3Pro & Farm894,167$89,417$0$No894,167$894,167$Lien
Tobias RiederStars (Dal)C/LW/RW271993-01-09No186 Lbs5 ft11NoNoNo2Pro & Farm1,700,000$1,700,000$0$No1,700,000$Lien
Zachary JonesStars (Dal)D192000-10-18Yes185 Lbs5 ft11NoNoNo3Pro & Farm925,000$92,500$0$No925,000$925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2721.85192 Lbs6 ft12.48919,661$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan MartinookTobias RiederKailer Yamamoto40122
2Ondrej KaseSam SteelTaylor Raddysh30122
3Liam HawelMichael McCarronAlexander Volkov20122
4Tobias RiederLiam HawelOndrej Kase10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryZachary Jones40122
2Thomas HarleyJake Bean30122
3Alec RegulaLouie Belpedio20122
4Martin FehervaryZachary Jones10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan MartinookTobias RiederKailer Yamamoto60122
2Ondrej KaseSam SteelTaylor Raddysh40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryZachary Jones60122
2Thomas HarleyJake Bean40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tobias RiederJordan Martinook60122
2Sam SteelKailer Yamamoto40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryZachary Jones60122
2Thomas HarleyJake Bean40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tobias Rieder60122Martin FehervaryZachary Jones60122
2Jordan Martinook40122Thomas HarleyJake Bean40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tobias RiederJordan Martinook60122
2Sam SteelKailer Yamamoto40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryZachary Jones60122
2Thomas HarleyJake Bean40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan MartinookTobias RiederKailer YamamotoMartin FehervaryZachary Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan MartinookTobias RiederKailer YamamotoMartin FehervaryZachary Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Linus Karlsson, Hudson Elynuik, Alexander VolkovLinus Karlsson, Hudson ElynuikAlexander Volkov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alec Regula, Louie Belpedio, Thomas HarleyAlec RegulaLouie Belpedio, Thomas Harley
Tirs de pénalité
Tobias Rieder, Jordan Martinook, Sam Steel, Kailer Yamamoto, Taylor Raddysh
Gardien
#1 : Scott Wedgewood, #2 : Magnus Chrona


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
1Admirals30200001712-51000000112-120200000610-410.16771320101051007115110952101199054115381261900.00%5260.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
2Baby Hawks41300000814-6211000005502020000039-620.2508152300105100711512695210119905416139287720315.00%14378.57%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
3Bears21100000770110000005321010000024-220.5007111800105100711562952101199054631014465120.00%6183.33%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
4Bruins2020000037-41010000024-21010000013-200.0003581010510071157595210119905457231250600.00%6350.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
5Cabaret Lady Mary Ann211000001073110000007161010000036-320.50010152500105100711510095210119905488348484125.00%4175.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
6Caroline21000010954110000004131000001054141.0009162500105100711590952101199054551214465120.00%7185.71%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
7Chiefs53200000161332110000066032100000107360.60016294501105100711517795210119905417154249912433.33%12466.67%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
8Chill42200000131302200000010552020000038-540.5001325380010510071151539521011990541454322791317.69%9277.78%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
9Comets3110001012111201000108801100000043140.667122032001051007115979521011990549331146611545.45%7357.14%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
10Cougars2110000047-31010000015-41100000032120.500471100105100711567952101199054833312375120.00%6266.67%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
11Crunch21100000532110000004131010000012-120.5005914001051007115789521011990548325252300.00%10100.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
12Heat31100001131212100000111921010000023-130.500132437001051007115999521011990541144020578337.50%9366.67%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
13Jayhawks30200010914-51010000024-220100010710-320.333913220010510071159495210119905413043315911436.36%12283.33%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
14Las Vegas3100200015114210010009631000100065161.00015274200105100711514495210119905412337267313538.46%13192.31%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
15Manchots2110000058-31010000015-41100000043120.5005101500105100711561952101199054872335457114.29%10370.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
16Marlies220000001037110000005231100000051441.00010203000105100711568952101199054711314386466.67%7271.43%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
17Minnesota4210001017116210000108532110000096360.7501727440010510071151549521011990541343736839444.44%17288.24%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
18Monarchs321000001413111000000431211000001010040.66714233700105100711512795210119905410729175512325.00%6266.67%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
19Monsters21000010963110000005321000001043141.000914230010510071158195210119905487228405120.00%4175.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
20Monsters4120001012120211000008622010001046-240.50012193100105100711513395210119905413233168516425.00%7271.43%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
21Oceanics522000011418-432100000111012010000138-550.500142539001051007115146952101199054195622610715426.67%11554.55%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
22Oil Kings3210000078-1220000006331010000015-440.667713200010510071158695210119905496312568900.00%8275.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
23Phantoms20200000210-81010000017-61010000013-200.000246001051007115729521011990547321454800.00%220.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
24Rocket2110000078-1110000004311010000035-220.500714210010510071155695210119905491251445500.00%7357.14%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
25Senators2010001079-2100000105411010000025-320.5007111800105100711568952101199054922322574250.00%11190.91%11564289254.08%1433288749.64%750138554.15%2040143218795771056541
26Sharks30300000913-41010000023-120200000710-300.000915240010510071151089521011990541293324692150.00%9455.56%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
27Sound Tigers220000001046110000005231100000052341.00010142400105100711569952101199054662110475120.00%50100.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
28Spiders21100000990110000005321010000046-220.500917261010510071156595210119905485238666233.33%4175.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
29Thunder220000001257110000007431100000051441.00012223400105100711511995210119905468128587571.43%4175.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
30Wolf Pack211000001055110000007161010000034-120.500101727001051007115909521011990547424143711100.00%70100.00%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
Total823436020732852787412411010321591243541102501041126154-28890.5432854947793110510071152975952101199054306889452018042426225.62%2305974.35%11564289254.08%1433288749.64%750138554.15%2040143218795771056541
_Since Last GM Reset823436020732852787412411010321591243541102501041126154-28890.5432854947793110510071152975952101199054306889452018042426225.62%2305974.35%11564289254.08%1433288749.64%750138554.15%2040143218795771056541
_Vs Conference421717020511441368221260102183632020511010306173-12490.583144248392011051007115150195210119905415544742708951313526.72%1242976.61%01564289254.08%1433288749.64%750138554.15%2040143218795771056541
_Vs Division2645000208081-11332000104837111313000103244-12120.23180140220011051007115889952101199054938268152530852023.53%701874.29%01564289254.08%1433288749.64%750138554.15%2040143218795771056541

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8289W128549477929753068894520180431
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8234362073285278
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4124111032159124
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4110251041126154
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2426225.62%2305974.35%1
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
9521011990541051007115
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
1564289254.08%1433288749.64%750138554.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2040143218795771056541


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
2 - 2021-10-1310Bruins4Stars2LSommaire du match
4 - 2021-10-1524Stars2Chiefs0WSommaire du match
5 - 2021-10-1632Stars3Cougars2WSommaire du match
7 - 2021-10-1839Stars2Bears4LSommaire du match
9 - 2021-10-2055Heat5Stars4LXXSommaire du match
11 - 2021-10-2270Bears3Stars5WSommaire du match
13 - 2021-10-2482Stars1Crunch2LSommaire du match
15 - 2021-10-2694Stars4Monsters3WXXSommaire du match
17 - 2021-10-28108Stars4Manchots3WSommaire du match
18 - 2021-10-29118Stars1Phantoms3LSommaire du match
20 - 2021-10-31132Senators4Stars5WXXSommaire du match
23 - 2021-11-03152Admirals2Stars1LXXSommaire du match
25 - 2021-11-05166Manchots5Stars1LSommaire du match
28 - 2021-11-08186Minnesota2Stars4WSommaire du match
31 - 2021-11-11201Stars0Monsters3LSommaire du match
32 - 2021-11-12206Rocket3Stars4WSommaire du match
35 - 2021-11-15230Monsters2Stars6WSommaire du match
40 - 2021-11-20264Stars2Oceanics3LXXSommaire du match
43 - 2021-11-23284Stars2Heat3LSommaire du match
44 - 2021-11-24291Stars4Comets3WSommaire du match
46 - 2021-11-26300Stars1Oil Kings5LSommaire du match
49 - 2021-11-29327Comets6Stars5LSommaire du match
51 - 2021-12-01342Oceanics3Stars2LSommaire du match
53 - 2021-12-03359Baby Hawks2Stars3WSommaire du match
55 - 2021-12-05371Las Vegas4Stars5WXSommaire du match
56 - 2021-12-06376Stars1Baby Hawks6LSommaire du match
59 - 2021-12-09402Chiefs3Stars4WSommaire du match
61 - 2021-12-11416Stars3Minnesota4LSommaire du match
63 - 2021-12-13431Stars1Oceanics5LSommaire du match
65 - 2021-12-15445Oceanics4Stars5WSommaire du match
67 - 2021-12-17461Sound Tigers2Stars5WSommaire du match
70 - 2021-12-20478Spiders3Stars5WSommaire du match
73 - 2021-12-23499Las Vegas2Stars4WSommaire du match
74 - 2021-12-24505Stars1Chill5LSommaire du match
76 - 2021-12-26523Oil Kings2Stars3WSommaire du match
79 - 2021-12-29539Stars5Thunder1WSommaire du match
80 - 2021-12-30548Stars3Cabaret Lady Mary Ann6LSommaire du match
82 - 2022-01-01566Heat4Stars7WSommaire du match
88 - 2022-01-07593Monsters4Stars2LSommaire du match
89 - 2022-01-08609Stars2Jayhawks6LSommaire du match
92 - 2022-01-11626Chill1Stars4WSommaire du match
94 - 2022-01-13640Cougars5Stars1LSommaire du match
99 - 2022-01-18677Stars3Monarchs4LSommaire du match
100 - 2022-01-19687Stars3Admirals5LSommaire du match
102 - 2022-01-21702Stars3Sharks5LSommaire du match
105 - 2022-01-24722Stars4Monsters3WXXSommaire du match
107 - 2022-01-26737Crunch1Stars4WSommaire du match
109 - 2022-01-28753Stars6Minnesota2WSommaire du match
118 - 2022-02-06771Thunder4Stars7WSommaire du match
120 - 2022-02-08776Marlies2Stars5WSommaire du match
123 - 2022-02-11798Stars4Spiders6LSommaire du match
125 - 2022-02-13810Stars3Wolf Pack4LSommaire du match
126 - 2022-02-14816Stars5Sound Tigers2WSommaire du match
129 - 2022-02-17842Minnesota3Stars4WXXSommaire du match
130 - 2022-02-18852Stars4Chiefs2WSommaire du match
133 - 2022-02-21873Caroline1Stars4WSommaire du match
135 - 2022-02-23881Stars5Marlies1WSommaire du match
137 - 2022-02-25900Stars3Rocket5LSommaire du match
138 - 2022-02-26911Stars2Senators5LSommaire du match
141 - 2022-03-01929Jayhawks4Stars2LSommaire du match
143 - 2022-03-03944Chiefs3Stars2LSommaire du match
145 - 2022-03-05960Baby Hawks3Stars2LSommaire du match
147 - 2022-03-07974Stars5Caroline4WXXSommaire du match
149 - 2022-03-09984Stars1Bruins3LSommaire du match
151 - 2022-03-111007Stars4Chiefs5LSommaire du match
154 - 2022-03-141026Oil Kings1Stars3WSommaire du match
156 - 2022-03-161039Stars2Chill3LSommaire du match
158 - 2022-03-181051Chill4Stars6WSommaire du match
161 - 2022-03-211076Wolf Pack1Stars7WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-03-231090Cabaret Lady Mary Ann1Stars7WSommaire du match
165 - 2022-03-251106Sharks3Stars2LSommaire du match
167 - 2022-03-271122Stars5Jayhawks4WXXSommaire du match
168 - 2022-03-281130Stars6Las Vegas5WXSommaire du match
171 - 2022-03-311149Phantoms7Stars1LSommaire du match
173 - 2022-04-021168Oceanics3Stars4WSommaire du match
175 - 2022-04-041184Monarchs3Stars4WSommaire du match
178 - 2022-04-071202Stars2Baby Hawks3LSommaire du match
179 - 2022-04-081212Monsters3Stars5WSommaire du match
181 - 2022-04-101227Comets2Stars3WXXSommaire du match
183 - 2022-04-121241Stars3Admirals5LSommaire du match
184 - 2022-04-131254Stars4Sharks5LSommaire du match
186 - 2022-04-151270Stars7Monarchs6WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets205
Assistance81,93540,984
Assistance PCT99.92%99.96%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2998 - 99.93% 44,966$1,843,620$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,547,217$ 4,013,085$ 4,013,085$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
21,460$ 2,547,217$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 21,460$ 0$




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