Connexion

StarsF
GP: 48 | W: 31 | L: 12 | OTL: 5 | P: 67
GF: 180 | GA: 150 | PP%: 26.45% | PK%: 76.86%
DG: Julien Gagné | Morale : 66 | Moyenne d’équipe : 63
Prochains matchs #791 vs Canucks
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Centre de jeu
Admirals
20-27-3, 43pts
4
FINAL
6 StarsF
31-12-5, 67pts
Team Stats
W1SéquenceSOL1
13-11-0Fiche domicile15-6-4
7-16-3Fiche domicile16-6-1
5-5-0Derniers 10 matchs5-4-1
3.08Buts par match 3.75
3.72Buts contre par match 3.13
17.20%Pourcentage en avantage numérique26.45%
77.46%Pourcentage en désavantage numérique76.86%
Condors
15-29-5, 35pts
5
FINAL
4 StarsF
31-12-5, 67pts
Team Stats
L1SéquenceSOL1
10-13-2Fiche domicile15-6-4
5-16-3Fiche domicile16-6-1
1-9-0Derniers 10 matchs5-4-1
2.94Buts par match 3.75
3.82Buts contre par match 3.13
15.79%Pourcentage en avantage numérique26.45%
75.00%Pourcentage en désavantage numérique76.86%
StarsF
31-12-5, 67pts
2023-12-10
Canucks
33-12-4, 70pts
Statistiques d’équipe
SOL1SéquenceW8
15-6-4Fiche domicile18-5-1
16-6-1Fiche visiteur15-7-3
5-4-110 derniers matchs8-2-0
3.75Buts par match 3.82
3.13Buts contre par match 3.82
26.45%Pourcentage en avantage numérique23.53%
76.86%Pourcentage en désavantage numérique82.07%
Phantoms
12-32-5, 29pts
2023-12-12
StarsF
31-12-5, 67pts
Statistiques d’équipe
W1SéquenceSOL1
6-14-5Fiche domicile15-6-4
6-18-0Fiche visiteur16-6-1
3-6-110 derniers matchs5-4-1
2.49Buts par match 3.75
4.02Buts contre par match 3.75
15.94%Pourcentage en avantage numérique26.45%
73.33%Pourcentage en désavantage numérique76.86%
StarsF
31-12-5, 67pts
2023-12-14
Admirals
20-27-3, 43pts
Statistiques d’équipe
SOL1SéquenceW1
15-6-4Fiche domicile13-11-0
16-6-1Fiche visiteur7-16-3
5-4-110 derniers matchs5-5-0
3.75Buts par match 3.08
3.13Buts contre par match 3.08
26.45%Pourcentage en avantage numérique17.20%
76.86%Pourcentage en désavantage numérique77.46%
Meneurs d'équipe
Buts
Devin Shore
22
Passes
Michael Carcone
33
Points
Vitali Kravtsov
46
Plus/Moins
David Rundblad
15
Victoires
Christopher Gibson
21
Pourcentage d’arrêts
Christopher Gibson
0.909

Statistiques d’équipe
Buts pour
180
3.75 GFG
Tirs pour
1612
33.58 Avg
Pourcentage en avantage numérique
26.5%
41 GF
Début de zone offensive
42.3%
Buts contre
150
3.13 GAA
Tirs contre
1405
29.27 Avg
Pourcentage en désavantage numérique
76.9%%
28 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralJulien Gagné
EntraîneurMike Stothers
DivisionDivision Pacifique
ConférenceConference 2
CapitaineDevin Shore
Assistant #1Andrew Yogan
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,525
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 55
Espoirs58


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
1Devin Shore (C)X99.0066459473727077717371667164686959786602921,700,000$
2Michael CarconeX100.0069458373688073735970757173544864786602721,700,000$
3Logan BrownX100.006545907275728173707172737154486081650252900,000$
4Nikolai KovalenkoX100.006745907368727271656868746550476878640242750,000$
5Vitali Kravtsov (R)X100.006645907270727971616970716450457078640233900,000$
6Michael Dal ColleX100.0066459471727182706569676965564762786402722,000,000$
7Andrew Yogan (A)X100.0060518868746576677268667362685945786403211,000,000$
8Nicholas Caamano (R)X100.006745907272707069666768696445456076630253750,000$
9Justin KirklandX100.0067469973717069697565657063464564786302732,000,000$
10Jonas Rondbjerg (R)X100.006345897071707269616761755550456078620243900,000$
11Christian ThomasX100.005942997166677069596868696648455378620311900,000$
12Pavel Tyutnev (R)X100.006545857267707070706463695945458074610213750,000$
13Dillon HeatheringtonX100.0072667271757375694570607552625257716502821,500,000$
14Tyler TuckerX100.0072657274727873724570707368484570556502321,800,000$
15Stefan ElliottX100.0059449170706875714571726968584947786403221,400,000$
16Scott Perunovich (R)X100.006644907266707066456667715645456078630253750,000$
17Dysin MayoX100.006544857270717365456464685957506068630271750,000$
18Cameron Crotty (R)X100.006339857270707064456560724545456074620243750,000$
Rayé
1Nikolai KuleminX100.0057379565726870666064646762837830206303711,400,000$
2Josh JoorisX100.0060469271716774686667666763645447196303321,400,000$
3Dick AxelssonX100.0066497868747070666764646263504830206103611,000,000$
4David RundbladX100.0058439471717070714570667264615047496403311,200,000$
5Philip SamuelssonX100.0066498669726972684565657163514550256303221,500,000$
6Tommy CrossX100.0060459270746567674563626762464542206103411,000,000$
MOYENNE D’ÉQUIPE99.96644688717170736958676670625450566363
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
1Christopher Gibson100.007775757778797979797780646353826503011,600,000$
2Colton Point (R)100.00778070827572827272767645456025600253750,000$
Rayé
1Evan Cowley100.007571757979778378788179575560816402821,200,000$
MOYENNE D’ÉQUIPE100.0076757379777681767678785554586363
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Stothers74757876717785CAN612100,000$


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
1Vitali KravtsovStarsF (Dal)RW481828461014047441684311610.71%990718.914101438129000004447.89%7100001.0126000621
2Michael CarconeStarsF (Dal)LW48133346102607850157601358.28%792319.243111433129000092144.57%9200101.00310000243
3Devin ShoreStarsF (Dal)C4822204210120481031263210117.46%992119.21741125129000093254.11%122900100.9101000233
4Nikolai KovalenkoStarsF (Dal)RW481722390180585517345919.83%1287018.1351116421200112531251.72%5800100.9000000424
5Logan BrownStarsF (Dal)C48152439-135155289151411069.93%984217.562101228117000001152.09%110000010.93410102241
6Stefan ElliottStarsF (Dal)D4872532-612018427620429.21%4698520.54481236127000041000%000000.6511000210
7Michael Dal ColleStarsF (Dal)LW48131427-380344213336869.77%581016.8843730120000012047.06%5100000.6700000410
8Nicholas CaamanoStarsF (Dal)LW451313263804743103267412.62%669515.46279191100000153044.19%4300000.7500000033
9Scott PerunovichStarsF (Dal)D48719268300453464184610.94%50107222.35561131121000093200%000000.4800000011
10Tyler TuckerStarsF (Dal)D3452025104410592647132910.64%3767719.944592176000057100%000000.7401101120
11Jonas RondbjergStarsF (Dal)RW487172436033457119879.86%1474015.430000400011211043.86%5700000.6500000302
12Pavel TyutnevStarsF (Dal)C441011211080406755125718.18%964714.710000000031121049.48%87100000.6500000201
13David RundbladStarsF (Dal)D29412161500915236917.39%2453218.3500014000113100%000000.6000000120
14Dillon HeatheringtonStarsF (Dal)D272121441605115265217.69%3054820.311231142000152100%000000.5100000003
15Cameron CrottyStarsF (Dal)D4421214716022333110146.45%5683518.9900013000084100%000000.3400000100
16Dysin MayoStarsF (Dal)D4221113-814050181981110.53%4577318.4100001000041000%000000.3400000001
17Andrew YoganStarsF (Dal)LW48391208025255817415.17%94519.410117170001270057.55%10600000.5300000010
18Christian ThomasStarsF (Dal)RW48821036071762133512.90%53667.6300001000001140.00%1500000.5514000006
19Justin KirklandStarsF (Dal)C485510-110027415116369.80%44489.34000011014560153.89%52700000.4500000100
20Philip SamuelssonStarsF (Dal)D1617814012813347.69%1831119.45011210000024000%000000.5100000010
21Nikolai KuleminStarsF (Dal)LW3000-300005100%14214.040000100002000%50000000000000
22Josh JoorisStarsF (Dal)C4000000000000%000.020000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne86417431649072295257628121612444114110.79%4051440616.674179120325127211213818251251.91%422500310.681133203312729
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
1Christopher GibsonStarsF (Dal)2921520.9092.63169040748090000.765172721211
2Evan CowleyStarsF (Dal)209730.8853.33115200645570200.750161926100
3Colton PointStarsF (Dal)21000.7955.3390008390000021000
Statistiques d’équipe totales ou en moyenne51311250.8962.992933401461405020334848311


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 Plafond 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
Andrew YoganStarsF (Dal)LW321991-12-04No204 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Cameron CrottyStarsF (Dal)D241999-05-05Yes182 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Christian ThomasStarsF (Dal)RW311992-05-26No176 Lbs5 ft8NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Christopher GibsonStarsF (Dal)G301992-12-27No217 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,600,000$0$0$No------------------Lien
Colton PointStarsF (Dal)G251998-03-04Yes230 Lbs6 ft5NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
David RundbladStarsF (Dal)D331990-10-08No187 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Devin ShoreStarsF (Dal)C291994-07-19No206 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Dick AxelssonStarsF (Dal)LW361987-04-25No212 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Dillon HeatheringtonStarsF (Dal)D281995-05-09No225 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Dysin MayoStarsF (Dal)D271996-08-17No194 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Evan CowleyStarsF (Dal)G281995-07-31No201 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Jonas RondbjergStarsF (Dal)RW241999-03-31Yes203 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Josh JoorisStarsF (Dal)C331990-07-14No197 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,400,000$0$0$No1,400,000$--------No--------Lien
Justin KirklandStarsF (Dal)C271996-08-02No183 Lbs6 ft3NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------Lien
Logan BrownStarsF (Dal)C251998-03-05No220 Lbs6 ft6NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Michael CarconeStarsF (Dal)LW271996-05-19No170 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Michael Dal ColleStarsF (Dal)LW271996-06-20No195 Lbs6 ft3NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Nicholas CaamanoStarsF (Dal)LW251998-09-07Yes205 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Nikolai KovalenkoStarsF (Dal)RW241999-10-17No180 Lbs5 ft10NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Nikolai KuleminStarsF (Dal)LW371986-07-14No220 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,400,000$0$0$No------------------Lien
Pavel TyutnevStarsF (Dal)C212002-07-25Yes185 Lbs5 ft10NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Philip SamuelssonStarsF (Dal)D321991-07-26No194 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Scott PerunovichStarsF (Dal)D251998-08-18Yes175 Lbs5 ft10NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Stefan ElliottStarsF (Dal)D321991-01-30No190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,400,000$0$0$No1,400,000$--------No--------Lien
Tommy CrossStarsF (Dal)D341989-09-12No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Tyler TuckerStarsF (Dal)D232000-03-01No204 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,800,000$0$0$No1,800,000$--------No--------Lien
Vitali KravtsovStarsF (Dal)RW231999-12-23Yes186 Lbs6 ft3NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2728.22198 Lbs6 ft22.001,194,444$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael CarconeDevin ShoreVitali Kravtsov31023
2Michael Dal ColleLogan BrownNikolai Kovalenko29023
3Nicholas CaamanoPavel TyutnevJonas Rondbjerg26023
4Andrew YoganJustin KirklandChristian Thomas14032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichDillon Heatherington35032
2Cameron CrottyDysin Mayo33050
3Tyler TuckerStefan Elliott32050
4Stefan ElliottScott Perunovich0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael CarconeDevin ShoreVitali Kravtsov50005
2Nicholas CaamanoLogan BrownNikolai Kovalenko50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichMichael Dal Colle50014
2Tyler TuckerStefan Elliott50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pavel TyutnevJonas Rondbjerg60050
2Justin KirklandNikolai Kovalenko40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonCameron Crotty50050
2Tyler TuckerScott Perunovich50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Kirkland50050Cameron CrottyDillon Heatherington50050
2Pavel Tyutnev50050Scott PerunovichTyler Tucker50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Devin ShoreMichael Carcone50122
2Logan BrownVitali Kravtsov50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stefan ElliottScott Perunovich50122
2Dysin MayoDillon Heatherington50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael CarconeDevin ShoreVitali KravtsovStefan ElliottScott Perunovich
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael CarconeDevin ShoreJonas RondbjergTyler TuckerDillon Heatherington
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pavel Tyutnev, Jonas Rondbjerg, Logan BrownAndrew Yogan, Michael CarconeAndrew Yogan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Stefan Elliott, Scott Perunovich, Tyler TuckerStefan ElliottScott Perunovich, Dysin Mayo
Tirs de pénalité
Logan Brown, Michael Carcone, Vitali Kravtsov, Christian Thomas, Devin Shore
Gardien
#1 : Colton Point, #2 : Christopher Gibson


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
1Admirals3200000114122210000019811100000054150.8331424380074465312106569543476577927145112325.00%7442.86%1937178952.38%825161950.96%43181752.75%11858191111362642328
2Americans11000000422000000000001100000042221.0004610007446531240569543476572312019300.00%000%0937178952.38%825161950.96%43181752.75%11858191111362642328
3Barracuda3110100015114201010009901100000062440.6671527420074465312119569543476578028184713753.85%9366.67%0937178952.38%825161950.96%43181752.75%11858191111362642328
4Bears11000000312110000003120000000000021.00036900744653123156954347657279484125.00%20100.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
5BruinsF10000010651100000106510000000000021.0006915007446531230569543476573214417100.00%2150.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
6Canucks1010000012-1000000000001010000012-100.000123007446531231569543476572634164125.00%20100.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
7Comets11000000523000000000001100000052321.00051015007446531232569543476572148175240.00%4175.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
8Condors3100000213130210000018711000000156-140.6671322350074465312101569543476578432165611436.36%8275.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
9Crunch21100000880000000000002110000088020.5008142200744653126156954347657702212384250.00%6183.33%0937178952.38%825161950.96%43181752.75%11858191111362642328
10Eagles31100010880311000108800000000000040.66781422007446531288569543476571072738448225.00%9188.89%0937178952.38%825161950.96%43181752.75%11858191111362642328
11Firebirds11000000431110000004310000000000021.00048120074465312365695434765723012163266.67%50100.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
12Griffins30200100811-330200100811-30000000000010.16781523007446531210056954347657982422477114.29%7185.71%0937178952.38%825161950.96%43181752.75%11858191111362642328
13Gulls11000000514110000005140000000000021.000581300744653123356954347657286623300.00%30100.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
14Icehogs4110002015123210000109632010001066060.75015223700744653121245695434765710535145614428.57%5180.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
15Iowa Wild2100001011830000000000021000010118341.00011172800744653127556954347657501510247114.29%4175.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
16Islanders1010000045-1000000000001010000045-100.0004711007446531239569543476572588214125.00%4175.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
17Marlies11000000431000000000001100000043121.000481200744653123856954347657338615000%30100.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
18Monsters11000000321000000000001100000032121.00036900744653122556954347657277421200.00%20100.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
19Moose11000000651110000006510000000000021.00061218007446531238569543476573631718200.00%4250.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
20PenguinsF1010000034-1000000000001010000034-100.00035800744653124256954347657315210500.00%10100.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
21Roadrunners22000000844000000000002200000084441.0008162400744653128256954347657651710289333.33%5260.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
22Rocket11000000321000000000001100000032121.00036900744653123356954347657226414300.00%2150.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
23SenatorsF1010000013-2000000000001010000013-200.000123007446531223569543476573178117114.29%40100.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
24Silver Knights20000011770200000117700000000000030.7507101700744653125756954347657752110336233.33%50100.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
25Thunderbirds330000001257220000008351100000042261.00012233500744653129756954347657893920479222.22%9188.89%0937178952.38%825161950.96%43181752.75%11858191111362642328
26Wolf Pack1010000034-11010000034-10000000000000.00036900744653123356954347657359411000%2150.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
27Wolves1010000004-41010000004-40000000000000.00000000744653121956954347657305109200.00%5340.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
28Wranglers22000000633000000000002200000063341.0006111700744653127956954347657531214457228.57%2150.00%0937178952.38%825161950.96%43181752.75%11858191111362642328
Total482412011641801503025106011439382112314600021876819670.698180316496007446531216125695434765714054052997621554126.45%1212876.86%1937178952.38%825161950.96%43181752.75%11858191111362642328
_Since Last GM Reset482412011641801503025106011439382112314600021876819670.698180316496007446531216125695434765714054052997621554126.45%1212876.86%1937178952.38%825161950.96%43181752.75%11858191111362642328
_Vs Conference33166011541269927197401133716011149200021553916490.74212621734300744653121117569543476579662932005381123228.57%771777.92%1937178952.38%825161950.96%43181752.75%11858191111362642328

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4867SOL11803164961612140540529976200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4824121164180150
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2510611439382
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2314600218768
Derniers 10 matchs
WLOTWOTL SOWSOL
440011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1554126.45%1212876.86%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
5695434765774465312
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
937178952.38%825161950.96%43181752.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11858191111362642328


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 - 2023-08-2613StarsF1Canucks2ALSommaire du match
4 - 2023-08-2825Griffins5StarsF4BLSommaire du match
5 - 2023-08-2929StarsF2Wranglers1AWSommaire du match
7 - 2023-08-3154Thunderbirds2StarsF3BWSommaire du match
10 - 2023-09-0373StarsF6Barracuda2AWSommaire du match
11 - 2023-09-0487Eagles1StarsF2BWSommaire du match
14 - 2023-09-07105Silver Knights4StarsF5BWXXSommaire du match
16 - 2023-09-09120StarsF4Thunderbirds2AWSommaire du match
18 - 2023-09-11136Griffins4StarsF3BLXSommaire du match
20 - 2023-09-13150StarsF5Admirals4AWSommaire du match
23 - 2023-09-16170Barracuda5StarsF4BLSommaire du match
25 - 2023-09-18192StarsF5Iowa Wild3AWSommaire du match
28 - 2023-09-21210Admirals4StarsF3BLXXSommaire du match
31 - 2023-09-24227Icehogs3StarsF4BWXXSommaire du match
33 - 2023-09-26241StarsF6Crunch5AWSommaire du match
35 - 2023-09-28262StarsF5Condors6ALXXSommaire du match
37 - 2023-09-30271StarsF6Iowa Wild5AWXXSommaire du match
38 - 2023-10-01280BruinsF5StarsF6BWXXSommaire du match
41 - 2023-10-04300Wolves4StarsF0BLSommaire du match
43 - 2023-10-06316StarsF2Crunch3ALSommaire du match
45 - 2023-10-08332StarsF4Roadrunners2AWSommaire du match
46 - 2023-10-09343Gulls1StarsF5BWSommaire du match
49 - 2023-10-12364StarsF4Icehogs3AWXXSommaire du match
51 - 2023-10-14375Icehogs3StarsF5BWSommaire du match
54 - 2023-10-17399Silver Knights3StarsF2BLXXSommaire du match
56 - 2023-10-19414StarsF3Monsters2AWSommaire du match
58 - 2023-10-21428Firebirds3StarsF4BWSommaire du match
60 - 2023-10-23445StarsF3Rocket2AWSommaire du match
62 - 2023-10-25460StarsF5Comets2AWSommaire du match
64 - 2023-10-27470StarsF1SenatorsF3ALSommaire du match
65 - 2023-10-28476Barracuda4StarsF5BWXSommaire du match
68 - 2023-10-31499Thunderbirds1StarsF5BWSommaire du match
72 - 2023-11-04524Condors2StarsF4BWSommaire du match
75 - 2023-11-07541StarsF2Icehogs3ALSommaire du match
77 - 2023-11-09560Griffins2StarsF1BLSommaire du match
80 - 2023-11-12581Moose5StarsF6BWSommaire du match
82 - 2023-11-14598StarsF4Americans2AWSommaire du match
84 - 2023-11-16611StarsF4Wranglers2AWSommaire du match
85 - 2023-11-17625Wolf Pack4StarsF3BLSommaire du match
88 - 2023-11-20647Eagles4StarsF2BLSommaire du match
91 - 2023-11-23665StarsF3PenguinsF4ALSommaire du match
93 - 2023-11-25677Bears1StarsF3BWSommaire du match
95 - 2023-11-27696StarsF4Islanders5ALSommaire du match
96 - 2023-11-28709StarsF4Marlies3AWSommaire du match
98 - 2023-11-30720Eagles3StarsF4BWXXSommaire du match
101 - 2023-12-03740StarsF4Roadrunners2AWSommaire du match
102 - 2023-12-04751Admirals4StarsF6BWSommaire du match
105 - 2023-12-07777Condors5StarsF4BLXXSommaire du match
108 - 2023-12-10791StarsF-Canucks-
110 - 2023-12-12807Phantoms-StarsF-
112 - 2023-12-14825StarsF-Admirals-
114 - 2023-12-16840Checkers-StarsF-
116 - 2023-12-18859StarsF-Griffins-
118 - 2023-12-20867StarsF-Thunderbirds-
120 - 2023-12-22879Canucks-StarsF-
122 - 2023-12-24897StarsF-Silver Knights-
123 - 2023-12-25909Canucks-StarsF-
127 - 2023-12-29934Wranglers-StarsF-
131 - 2024-01-02963Iowa Wild-StarsF-
133 - 2024-01-04974StarsF-Wranglers-
135 - 2024-01-06992StarsF-Barracuda-
136 - 2024-01-071000Thunderbirds-StarsF-
139 - 2024-01-101027Iowa Wild-StarsF-
141 - 2024-01-121037StarsF-Monsters-
144 - 2024-01-151059Monsters-StarsF-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
146 - 2024-01-171073StarsF-Condors-
149 - 2024-01-201091Monsters-StarsF-
153 - 2024-01-241122StarsF-Silver Knights-
154 - 2024-01-251125Gulls-StarsF-
158 - 2024-01-291154Reign-StarsF-
159 - 2024-01-301160StarsF-Reign-
161 - 2024-02-011177StarsF-Eagles-
162 - 2024-02-021188Wranglers-StarsF-
167 - 2024-02-071219Reign-StarsF-
168 - 2024-02-081226StarsF-Griffins-
170 - 2024-02-101243StarsF-Eagles-
172 - 2024-02-121251Roadrunners-StarsF-
173 - 2024-02-131258StarsF-Reign-
175 - 2024-02-151269StarsF-Gulls-
177 - 2024-02-171283Roadrunners-StarsF-
178 - 2024-02-181288StarsF-Gulls-
179 - 2024-02-191293StarsF-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance39,15223,965
Assistance PCT78.30%95.86%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 2525 - 84.16% 100,328$2,508,201$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,880,259$ 3,225,000$ 3,225,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,822,062$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,605,249$ 76 18,269$ 1,388,444$




StarsF 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

StarsF 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

StarsF 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

StarsF 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

StarsF 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