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LHSRSM

Connexion

Stars
GP: 51 | W: 8 | L: 40 | OTL: 3 | P: 19
GF: 167 | GA: 382 | PP%: 14.12% | PK%: 48.39%
DG: | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #811 vs Gulls
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Centre de jeu
Wolves
10-37-2, 22pts
6
FINAL
7 Stars
8-40-3, 19pts
Team Stats
L2StreakL1
7-15-1Home Record6-15-3
3-22-1Away Record2-25-0
1-8-1Last 10 Games1-7-2
3.94Goals Per Game3.27
7.20Goals Against Per Game7.49
13.48%Power Play Percentage14.12%
53.62%Penalty Kill Percentage48.39%
Comets
34-14-1, 69pts
7
FINAL
1 Stars
8-40-3, 19pts
Team Stats
W2StreakL1
16-8-1Home Record6-15-3
18-6-0Away Record2-25-0
9-1-0Last 10 Games1-7-2
4.49Goals Per Game3.27
2.65Goals Against Per Game7.49
25.00%Power Play Percentage14.12%
79.34%Penalty Kill Percentage48.39%
Gulls
42-5-3, 87pts
2023-02-06
Stars
8-40-3, 19pts
Statistiques d’équipe
W4SéquenceL1
20-2-1Fiche domicile6-15-3
22-3-2Fiche visiteur2-25-0
8-1-110 derniers matchs1-7-2
4.82Buts par match 3.27
2.34Buts contre par match 7.49
27.62%Pourcentage en avantage numérique14.12%
84.35%Pourcentage en désavantage numérique48.39%
Wild
32-16-0, 64pts
2023-02-08
Stars
8-40-3, 19pts
Statistiques d’équipe
W2SéquenceL1
18-6-0Fiche domicile6-15-3
14-10-0Fiche visiteur2-25-0
6-4-010 derniers matchs1-7-2
4.46Buts par match 3.27
2.88Buts contre par match 7.49
18.52%Pourcentage en avantage numérique14.12%
84.88%Pourcentage en désavantage numérique48.39%
Crunch
29-16-4, 62pts
2023-02-11
Stars
8-40-3, 19pts
Statistiques d’équipe
W1SéquenceL1
20-4-1Fiche domicile6-15-3
9-12-3Fiche visiteur2-25-0
8-2-010 derniers matchs1-7-2
4.08Buts par match 3.27
2.69Buts contre par match 7.49
22.94%Pourcentage en avantage numérique14.12%
80.20%Pourcentage en désavantage numérique48.39%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
167
3.27 GFG
Tirs pour
1863
36.53 Avg
Pourcentage en avantage numérique
14.1%
12 GF
Début de zone offensive
34.3%
Buts contre
382
7.49 GAA
Tirs contre
2868
56.24 Avg
Pourcentage en désavantage numérique
48.4%
32 GA
Début de la zone défensive
41.1%
Informations de l'équipe

Directeur général
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 250
Espoirs26


Historique d'équipe

Saison actuelle8-40-3 (19PTS)
Historique370-364-59 (0.467%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)6-16
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Dylan GambrellXX100.007241866571829364776263766466680506502521,100,000$
2Zac DalpeXX100.00703991668087846274606467637378050650312750,000$
3Phillip Di GiuseppeXX100.00823984657391726656675963657071050650282750,000$
4Steven LorentzX100.00653895648877866580626156626667050640251725,000$
5Aleksi HeponiemiX100.005837896662798065716659616764660506302211,775,000$
6Tim GettingerX100.00796376599683776066615965576466050630231750,000$
7Kasper Bjorkqvist (R)X100.00683881657773826255616257636567050630241750,000$
8Brett SeneyX100.00693888636083846265615864626668050620251750,000$
9Chase PearsonX100.00633989608477785973585760636567050610241874,125$
10Gustav LindstromX100.00643586657787816330735573496364050640222850,000$
11Gavin BayreutherX100.00685176617781766230715964516870050640272750,000$
12Noah JuulsenX100.00793687638183795930665967506567050640242750,000$
13Cam DineenX100.00593691657084796330665863506466050630232750,000$
14Kyle BurroughsX100.00904772617384755930675468496667050630262750,000$
15Ryan MerkleyX100.006239816872838665306657585062640506302121,163,333$
16Tyler LewingtonX100.00674365607978805930675865506870050620261750,000$
17Brandon DavidsonX100.00824370598281655630555268467173050610301750,000$
Rayé
1Mikhail Abramov (R)X100.00573691656978946269615755666163050610203809,444$
2Sven BaertschiX100.00603683587086725963585956607172050600291750,000$
3Shane BowersX100.006938905978847058535459565763650506002211,075,000$
4Spencer SmallmanX100.00683570577771935761585659576668050600253750,000$
5Aidan DudasX100.00613592596178895863565753596264050590212791,667$
6Bryce Misley (R)X100.00654173517463605350525755546365050570221650,000$
7Timur Ibragimov (R)X100.00643786517463605256535455526264050570202820,000$
8Andrew NielsenX100.00664273598564635830605357506668050600241921,666$
9Colby WilliamsX100.00624169577162795630555458466769050590261700,000$
10Blake Siebenaler (R)X100.00693894577967635630555358456668050590251910,833$
11Layton AhacX100.00693891537865635230555153456163050570203925,000$
MOYENNE D’ÉQUIPE100.0068408361767877605061576155666705062
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
1Pavel Francouz100.00828083728180828180828172860506803112,000,000$
2Erik Kallgren (R)100.0074858382737274737274736675050640242750,000$
Rayé
MOYENNE D’ÉQUIPE100.007883837777767877767877698105066
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
1Phillip Di GiuseppeStars (DAL)LW/RW51492069-5712023215243012033411.40%103118723.2962828700000421361.64%7300061.1613000631
2Tim GettingerStars (DAL)LW51372865-25240199902968421312.50%6283716.4200000000003064.00%5000051.5500000373
3Steven LorentzStars (DAL)C51222648-102016521723612512.79%1756111.0100000000000071.11%4500001.7111000024
4Gustav LindstromStars (DAL)D5193342-3826020610785346810.59%13492318.110111726000014100.00%000000.9100000002
5Gavin BayreutherStars (DAL)D513811-915549122092115.00%251923.770000000000000.00%000001.1500001000
Statistiques d’équipe totales ou en moyenne255120115235-139795702413100328376111.96%341370214.5263945960000565364.88%168000111.272400191210
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
Statistiques d’équipe totales ou en moyenne0.0000.0000.000


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’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond 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
Aidan DudasStars (DAL)C212000-06-15No162 Lbs5 ft8NoNoNo2Pro & Farm791,667$0$0$No791,667$Lien / Lien NHL
Aleksi HeponiemiStars (DAL)C221999-01-09No155 Lbs5 ft10NoNoNo1Pro & Farm1,775,000$0$0$NoLien / Lien NHL
Andrew NielsenStars (DAL)D241996-11-13No210 Lbs6 ft3NoNoNo1Pro & Farm921,666$0$0$NoLien / Lien NHL
Blake SiebenalerStars (DAL)D251996-02-27Yes208 Lbs6 ft1NoNoNo1Pro & Farm910,833$0$0$NoLien / Lien NHL
Brandon DavidsonStars (DAL)D301991-08-21No209 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Brett SeneyStars (DAL)LW251996-02-28No156 Lbs5 ft9NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Bryce MisleyStars (DAL)LW221999-09-05Yes185 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Cam DineenStars (DAL)D231998-06-19No188 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Chase PearsonStars (DAL)C241997-08-23No202 Lbs6 ft3NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Colby WilliamsStars (DAL)D261995-01-26No191 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Dylan GambrellStars (DAL)C/RW251996-08-26No185 Lbs6 ft0NoNoNo2Pro & Farm1,100,000$0$0$No950,000$Lien / Lien NHL
Erik KallgrenStars (DAL)G241996-10-14Yes193 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Gavin BayreutherStars (DAL)D271994-05-12No196 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Gustav LindstromStars (DAL)D221998-10-20No183 Lbs6 ft2NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Kasper BjorkqvistStars (DAL)RW241997-07-10Yes198 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien NHL
Kyle BurroughsStars (DAL)D261995-07-12No193 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Layton AhacStars (DAL)D202001-02-22No188 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Mikhail AbramovStars (DAL)C202001-03-26Yes160 Lbs6 ft0NoNoNo3Pro & Farm809,444$0$0$No809,444$809,444$Lien NHL
Noah JuulsenStars (DAL)D241997-04-02No201 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Pavel FrancouzStars (DAL)G311990-06-03No179 Lbs6 ft0NoNoNo1Pro & Farm2,000,000$0$0$NoLien / Lien NHL
Phillip Di GiuseppeStars (DAL)LW/RW281993-10-09No193 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Ryan MerkleyStars (DAL)D212000-08-14No186 Lbs6 ft0NoNoNo2Pro & Farm1,163,333$0$0$No1,163,333$Lien / Lien NHL
Shane BowersStars (DAL)RW221999-07-30No186 Lbs6 ft2NoNoNo1Pro & Farm1,075,000$0$0$NoLien / Lien NHL
Spencer SmallmanStars (DAL)RW251996-09-09No198 Lbs6 ft1NoNoNo3Pro & Farm750,000$0$0$No762,500$762,500$Lien / Lien NHL
Steven LorentzStars (DAL)C251996-04-13No206 Lbs6 ft4NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Sven BaertschiStars (DAL)LW291992-10-05No190 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Tim GettingerStars (DAL)LW231998-04-14No220 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Timur IbragimovStars (DAL)LW202000-10-12Yes183 Lbs6 ft1NoNoNo2Pro & Farm820,000$0$0$No820,000$Lien NHL
Tyler LewingtonStars (DAL)D261994-12-05No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Zac DalpeStars (DAL)C/RW311989-11-01No197 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3024.50190 Lbs6 ft11.60886,369$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip Di Giuseppe40122
230122
3Steven LorentzTim Gettinger20122
4Tim Gettinger10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Gustav Lindstrom30122
320122
4Gavin Bayreuther10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip Di Giuseppe60122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Gustav Lindstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Phillip Di Giuseppe60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Gustav Lindstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Phillip Di Giuseppe40122Gustav Lindstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Phillip Di Giuseppe60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Gustav Lindstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip Di Giuseppe
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Phillip Di Giuseppe
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Steven Lorentz, , Steven Lorentz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Gavin Bayreuther, Gavin Bayreuther
Tirs de pénalité
, Phillip Di Giuseppe, , ,
Gardien
#1 : , #2 :


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
1Admirals311010001820-211000000862201010001014-440.66718314900736030521863061159237145450113400.00%000.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
2Americans1010000068-21010000068-20000000000000.0006101600736030530630611592377113417000.00%2150.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
3Barracuda30300000823-1520200000615-91010000028-600.000815230073603057663061159237210421663600.00%9544.44%0436144030.28%436172825.23%281103527.15%9917181516335577253
4Bears20200000419-151010000039-610100000110-900.000459007360305526306115923711230438500.00%220.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
5Bruins1010000025-3000000000001010000025-300.000246007360305276306115923738140203133.33%000.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
6Checkers201000101012-2100000107611010000036-320.500101525007360305806306115923784236332150.00%3233.33%0436144030.28%436172825.23%281103527.15%9917181516335577253
7Comets20200000116-151010000017-61010000009-900.00012300736030562630611592379524447400.00%2150.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
8Condors2200000015105110000009541100000065141.000152439007360305125630611592378732466200.00%220.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
9Crunch1010000005-5000000000001010000005-500.00000000736030525630611592375320820200.00%40100.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
10Eagles20200000918-910100000510-51010000048-400.00091423007360305946306115923711732666000.00%3166.67%0436144030.28%436172825.23%281103527.15%9917181516335577253
11Griffins1010000029-71010000029-70000000000000.00024600736030534630611592378323631000.00%3166.67%0436144030.28%436172825.23%281103527.15%9917181516335577253
12Gulls20200000515-101010000019-81010000046-200.00057120073603054863061159237121348404125.00%3233.33%0436144030.28%436172825.23%281103527.15%9917181516335577253
13IceHogs1010000049-51010000049-50000000000000.000461000736030530630611592375813424100.00%2150.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
14Islanders20200000118-171010000008-810100000110-900.000123007360305456306115923712528247500.00%10100.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
15Marlies20200000018-181010000008-810100000010-1000.000000007360305486306115923713934642300.00%3166.67%0436144030.28%436172825.23%281103527.15%9917181516335577253
16Monsters1010000039-6000000000001010000039-600.000336007360305306306115923763130192150.00%000.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
17Moose302000011321-8201000011015-51010000036-310.16713233600736030515663061159237170522893133.33%110.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
18Penguins1010000009-9000000000001010000009-900.00000000736030518630611592375616217200.00%110.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
19Phantoms1010000079-2000000000001010000079-200.0007916007360305276306115923744122233133.33%10100.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
20Reign30200010817-91000001032120200000515-1020.33381119007360305786306115923715750866600.00%4175.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
21Roadrunners20100100612-61000010056-11010000016-510.25068140073603056063061159237106344427114.29%10100.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
22Rocket2110000015141110000008621010000078-120.5001522370073603051176306115923792376483266.67%440.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
23Senators20200000419-151010000029-710100000210-800.0004610007360305576306115923713033647400.00%2150.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
24Silver Knights1010000016-5000000000001010000016-500.000112007360305246306115923772242222150.00%10100.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
25Thunderbirds1010000029-7000000000001010000029-700.00023500736030522630611592377414426200.00%2150.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
26Wild20200000315-121010000024-210100000111-1000.0003581073603054363061159237101276456116.67%3233.33%0436144030.28%436172825.23%281103527.15%9917181516335577253
27Wolf Pack20200000218-161010000009-91010000029-700.000246007360305536306115923710837057100.00%000.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
28Wolves2010100013130100010007611010000067-120.5001325380073603051386306115923792334473133.33%110.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
29Wranglers1000010056-11000010056-10000000000010.5005101500736030546630611592376518923000.00%2150.00%0436144030.28%436172825.23%281103527.15%9917181516335577253
Total5144002221167382-215243150122194172-78271250100073210-137190.18616726943610736030518636306115923728688071331238851214.12%623248.39%0436144030.28%436172825.23%281103527.15%9917181516335577253
_Since Last GM Reset5144002221167382-215243150122194172-78271250100073210-137190.18616726943610736030518636306115923728688071331238851214.12%623248.39%0436144030.28%436172825.23%281103527.15%9917181516335577253
_Vs Conference2831902211110194-8415280121167102-3513111010004392-49150.26811018429410736030511706306115923715844597973744613.64%351848.57%0436144030.28%436172825.23%281103527.15%9917181516335577253
_Vs Division1218020014277-35614010012437-13604010001840-2270.2924268110007360305397630611592377122004728020210.00%211147.62%0436144030.28%436172825.23%281103527.15%9917181516335577253

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5119L116726943618632868807133123810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
514402221167382
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24315122194172
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
27125100073210
Derniers 10 matchs
WLOTWOTL SOWSOL
071200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
851214.12%623248.39%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
630611592377360305
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
436144030.28%436172825.23%281103527.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9917181516335577253


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
7 - 2022-10-1316Stars6Admirals5AWXSommaire du match
9 - 2022-10-1535Admirals6Stars8BWSommaire du match
11 - 2022-10-1746Moose7Stars3BLSommaire du match
14 - 2022-10-2061Stars0Marlies10ALSommaire du match
16 - 2022-10-2279Stars7Rocket8ALSommaire du match
18 - 2022-10-2492Stars2Senators10ALSommaire du match
19 - 2022-10-25100Stars2Bruins5ALSommaire du match
21 - 2022-10-27117Bears9Stars3BLSommaire du match
23 - 2022-10-29127Wolf Pack9Stars0BLSommaire du match
26 - 2022-11-01153Reign2Stars3BWXXSommaire du match
28 - 2022-11-03172Stars1Roadrunners6ALSommaire du match
30 - 2022-11-05178Stars6Condors5AWSommaire du match
33 - 2022-11-08204Stars3Moose6ALSommaire du match
36 - 2022-11-11223Barracuda10Stars5BLSommaire du match
38 - 2022-11-13238Stars7Phantoms9ALSommaire du match
40 - 2022-11-15248Stars0Crunch5ALSommaire du match
42 - 2022-11-17262Stars3Checkers6ALSommaire du match
44 - 2022-11-19284Islanders8Stars0BLSommaire du match
46 - 2022-11-21298Eagles10Stars5BLSommaire du match
48 - 2022-11-23313IceHogs9Stars4BLSommaire du match
50 - 2022-11-25330Moose8Stars7BLXXSommaire du match
51 - 2022-11-26339Stars4Eagles8ALSommaire du match
53 - 2022-11-28350Stars2Thunderbirds9ALSommaire du match
56 - 2022-12-01371Gulls9Stars1BLSommaire du match
59 - 2022-12-04393Wild4Stars2BLSommaire du match
61 - 2022-12-06409Marlies8Stars0BLSommaire du match
63 - 2022-12-08423Senators9Stars2BLSommaire du match
65 - 2022-12-10435Griffins9Stars2BLSommaire du match
67 - 2022-12-12449Stars0Penguins9ALSommaire du match
68 - 2022-12-13456Stars0Comets9ALSommaire du match
70 - 2022-12-15471Stars1Bears10ALSommaire du match
72 - 2022-12-17487Stars6Wolves7ALSommaire du match
74 - 2022-12-19502Stars3Monsters9ALSommaire du match
76 - 2022-12-21522Condors5Stars9BWSommaire du match
78 - 2022-12-23541Rocket6Stars8BWSommaire du match
82 - 2022-12-27551Stars4Admirals9ALSommaire du match
84 - 2022-12-29569Stars1Wild11ALSommaire du match
86 - 2022-12-31586Barracuda5Stars1BLSommaire du match
89 - 2023-01-03608Stars3Reign7ALSommaire du match
90 - 2023-01-04611Stars4Gulls6ALSommaire du match
94 - 2023-01-08637Checkers6Stars7BWXXSommaire du match
96 - 2023-01-10653Stars1Islanders10ALSommaire du match
98 - 2023-01-12663Stars2Wolf Pack9ALSommaire du match
100 - 2023-01-14677Wranglers6Stars5BLXSommaire du match
102 - 2023-01-16699Stars1Silver Knights6ALSommaire du match
104 - 2023-01-18716Stars2Barracuda8ALSommaire du match
105 - 2023-01-19729Stars2Reign8ALSommaire du match
107 - 2023-01-21740Roadrunners6Stars5BLXSommaire du match
109 - 2023-01-23753Americans8Stars6BLSommaire du match
111 - 2023-01-25769Wolves6Stars7BWXSommaire du match
113 - 2023-01-27785Comets7Stars1BLSommaire du match
123 - 2023-02-06811Gulls-Stars-
125 - 2023-02-08820Wild-Stars-
128 - 2023-02-11837Crunch-Stars-
131 - 2023-02-14861Bruins-Stars-
134 - 2023-02-17880Stars-Wild-
135 - 2023-02-18887Monsters-Stars-
139 - 2023-02-22918IceHogs-Stars-
142 - 2023-02-25944Stars-Silver Knights-
144 - 2023-02-27955Canucks-Stars-
146 - 2023-03-01970Roadrunners-Stars-
147 - 2023-03-02980Stars-IceHogs-
149 - 2023-03-04997Eagles-Stars-
151 - 2023-03-061008Wranglers-Stars-
154 - 2023-03-091025Stars-Americans-
156 - 2023-03-111049Stars-Firebirds-
158 - 2023-03-131063Stars-Firebirds-
159 - 2023-03-141073Stars-Canucks-
161 - 2023-03-161086Stars-Condors-
163 - 2023-03-181105Stars-Wranglers-
166 - 2023-03-211130Firebirds-Stars-
168 - 2023-03-231143Penguins-Stars-
170 - 2023-03-251158Canucks-Stars-
173 - 2023-03-281182Stars-IceHogs-
176 - 2023-03-311203Stars-Roadrunners-
177 - 2023-04-011212Stars-Eagles-
179 - 2023-04-031227Admirals-Stars-
182 - 2023-04-061252Phantoms-Stars-
184 - 2023-04-081269Silver Knights-Stars-
186 - 2023-04-101280Stars-Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
188 - 2023-04-121296Stars-Thunderbirds-
189 - 2023-04-131307Thunderbirds-Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-15 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,792,939$ 2,659,106$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,792,939$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 74 14,069$ 1,041,106$




TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
282402603265289244454122901243147108394118170202214213661052895107991301217584274009588868722261647102415663447421.51%4288380.61%61659281758.89%1429259255.13%772132758.18%2102144718106101069547
38243210635426218973412013032211261042241238031331368551115262456718180987974298609289901020252374353613113676718.26%2343585.04%01552295952.45%1364273449.89%663126952.25%2063145218755971045536
4823238012542422420411917010311361112541132100223106131-2582242437679050837578272408869089122420747135518635569817.63%57610481.94%91713308055.62%1468274453.50%700126955.16%2112144418156301042540
582393302323221188334122150012112283394117180220299105-692221400621211081716527480834916984238270963919852385824.37%2714882.29%51709277961.50%1595274858.04%683116858.48%2104148618195761033531
682284003236254333-7941151802132136156-2041132201104118177-5976254448702030897881326501083106710673634112445523921962914.80%1734375.14%21295298043.46%1220306339.83%550135640.56%1914136020645631002491
782403005214290245454121160300114411628411914022131461291798290515805240120877732870104011041109270792862622052074521.74%2794882.80%51811317956.97%1482273554.19%690129953.12%2191158617635441007528
882116700220284634-3504183200010146305-1594133500210138329-1912828446474810010310376343601143113711435397161126319511422819.72%1194066.39%1976256738.02%1031308933.38%634168037.74%14069982624545900379
98250190223632321510841271000112181108734123902124142107351183235839061201201178134670109611681189278379652920731884523.94%2363883.90%41798327054.98%1587300652.79%747138154.09%2086148518525711034525
1082295000012320478-15841142500002160231-7141152500010160247-876232056888804137111711304810091047980213980119531018051412618.44%1453973.10%01349269650.04%1384283448.84%747159946.72%166311802303547968447
115144002221167382-215243150122194172-78271250100073210-1371916726943610736030518636306115923728688071331238851214.12%623248.39%0436144030.28%436172825.23%281103527.15%9917181516335577253
Total Saison régulière78931636402420303526523150-4983931711700119181413921494-10239614519401311122112601656-396795265246507302940210986786622295641639962697488354309559307587018389246448219.56%252351079.79%32142982776751.49%129962727347.65%64671338348.32%186361316019445552396814781
Séries éliminatoires
25140000089-13030000047-32110000042228132101032316806643541354157972129.52%25676.00%013319867.17%10116361.96%456965.22%13493106386636
3734000001819-1413000001114-33210000075261833510108632110807258227524010531619.35%18477.78%09123838.24%7622833.33%4111834.75%156106179538741
5624000001117-630300000411-73210000076141116270003531650436854148353914820210.00%15660.00%011620556.59%8418146.41%388345.78%13389148467838
940400000612-62020000025-32020000047-306101600040212504444371795850949111.11%22195.45%07313852.90%9717854.49%255050.00%8154110304823
Total Séries éliminatoires22616000004357-1412111000002137-16105500000222021243721150201813116690233227203689186186444811113.58%801778.75%041377953.02%35875047.73%14932046.56%506343544169281139