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Admirals
GP: 47 | W: 22 | L: 20 | OTL: 5 | P: 49
GF: 198 | GA: 231 | PP%: 27.50% | PK%: 70.80%
DG: Sebastien Roy Pruneau | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #708 vs Moose
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Centre de jeu
Admirals
22-20-5, 49pts
1
FINAL
3 Rampage
18-20-4, 40pts
Team Stats
W1StreakW4
10-8-2Home Record11-10-2
12-12-3Away Record7-10-2
7-3-0Last 10 Games5-3-2
4.21Goals Per Game3.86
4.91Goals Against Per Game3.26
27.50%Power Play Percentage16.28%
70.80%Penalty Kill Percentage78.85%
Comets
5-41-0, 10pts
5
FINAL
7 Admirals
22-20-5, 49pts
Team Stats
L34StreakW1
4-18-0Home Record10-8-2
1-23-0Away Record12-12-3
0-10-0Last 10 Games7-3-0
3.63Goals Per Game4.21
7.93Goals Against Per Game4.91
18.39%Power Play Percentage27.50%
59.55%Penalty Kill Percentage70.80%
Moose
20-19-5, 45pts
2022-01-20
Admirals
22-20-5, 49pts
Statistiques d’équipe
L1SéquenceW1
14-6-3Fiche domicile10-8-2
6-13-2Fiche visiteur12-12-3
2-6-210 derniers matchs7-3-0
3.98Buts par match 4.21
3.77Buts contre par match 4.91
21.79%Pourcentage en avantage numérique27.50%
72.82%Pourcentage en désavantage numérique70.80%
Griffins
23-20-2, 48pts
2022-01-22
Admirals
22-20-5, 49pts
Statistiques d’équipe
W1SéquenceW1
16-6-0Fiche domicile10-8-2
7-14-2Fiche visiteur12-12-3
5-4-110 derniers matchs7-3-0
3.51Buts par match 4.21
3.56Buts contre par match 4.91
31.00%Pourcentage en avantage numérique27.50%
77.31%Pourcentage en désavantage numérique70.80%
Admirals
22-20-5, 49pts
2022-01-25
Palm Springs
26-16-3, 55pts
Statistiques d’équipe
W1SéquenceL1
10-8-2Fiche domicile12-11-2
12-12-3Fiche visiteur14-5-1
7-3-010 derniers matchs7-2-1
4.21Buts par match 4.60
4.91Buts contre par match 3.93
27.50%Pourcentage en avantage numérique21.74%
70.80%Pourcentage en désavantage numérique79.55%
Meneurs d'équipe
Ryan CollinsButs
Ryan Collins
7
Ryan CollinsPasses
Ryan Collins
21
Ryan CollinsPoints
Ryan Collins
28
Radim ZohornaPlus/Moins
Radim Zohorna
11
Connor IngramVictoires
Connor Ingram
16
Connor IngramPourcentage d’arrêts
Connor Ingram
0.924

Statistiques d’équipe
Buts pour
198
4.21 GFG
Tirs pour
2035
43.30 Avg
Pourcentage en avantage numérique
27.5%
22 GF
Début de zone offensive
40.6%
Buts contre
231
4.91 GAA
Tirs contre
2146
45.66 Avg
Pourcentage en désavantage numérique
70.8%
40 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralSebastien Roy Pruneau
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure21
Limite contact 41 / 250
Espoirs69


Historique d'équipe

Saison actuelle22-20-5 (49PTS)
Historique339-466-69 (0.388%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)7-5
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
1Eetu LuostarinenX100.00793593648179816574636167626564050650222925,000$
2Dmytro TimashovXX100.00863789647087846559636266686967050650241700,000$
3Tyler GraovacX100.00653989639183776478626963687567050650271700,000$
4Markus GranlundXX100.005739876971807966746362676375660506402711,300,000$
5Egor Sokolov (R)XX100.00798187638879856456616562666163050640203850,000$
6Zac RinaldoXXX100.00958456617073786367656258637972050640301700,000$
7Axel Jonsson-FjallbyX100.00593590626883886055586359646663050620221860,000$
8Carsen TwarynskiXXX100.00883592628176715968566157636764050620221925,000$
9Tyler GaudetXX100.00753678578481895873596057597571050620271700,000$
10Eetu TuulolaX100.00837187568579845655565759566563050610222925,000$
11Luke Stevens (R)X100.00823988509160655052505057506764050580231700,000$
12Roland McKeownX100.00674372627688935830605459466872050610241700,000$
13Declan Chisholm (R)X100.00654578637484795830625456456263050600203825,000$
14Ole Bjorgvik-Holm (R)X100.00693483577872775930585356465961050590181700,000$
15Tyler Tucker (R)X100.00695965587883785630575356476163050590203808,333$
16Hubert LabrieX100.00595470536879845330545053457873050570291700,000$
17Luke GreenX100.00663888517560655130505453456563050560221838,333$
Rayé
MOYENNE D’ÉQUIPE100.0073478260787880595259585956686605061
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
1Connor Ingram100.0077858380767577767577766771050650233733,333$
2Olle Eriksson Ek (R)100.0072807781717072717072716367050630212878,889$
Rayé
1Joey Daccord100.0072817880717072717072716973050630243750,000$
MOYENNE D’ÉQUIPE100.007482798073727473727473667005064
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
1Markus GranlundAdmirals (NSH)C/LW47283967112061622587020210.85%3788718.8825722630002371157.80%116600021.5115000331
2Tyler GraovacAdmirals (NSH)C47283058700321772746919310.22%3597720.79729265101171026259.46%149500011.1916000422
3Eetu TuulolaAdmirals (NSH)RW4723224511806749148459415.54%124299.13224921000000061.29%3100012.1000000220
4Zac RinaldoAdmirals (NSH)C/LW/RW47172542-2288022499237661397.17%2187118.551231441000004047.90%23800020.9601000013
5Axel Jonsson-FjallbyAdmirals (NSH)RW47221941-182060107241511589.13%3776016.192025150001191052.33%8600011.0802000116
6Tyler GaudetAdmirals (NSH)C/LW4772936726093839530517.37%3767014.2610110000051156.09%51700001.0700000020
7Dmytro TimashovAdmirals (NSH)LW/RW28142135142007666144361219.72%1457020.3615620520001333051.69%8900001.2314000135
8Carsen TwarynskiAdmirals (NSH)C/LW/RW47191433-14057811523611112.50%1253311.3501100000011148.78%4100021.2401000212
9Ryan CollinsPredatorsD3572128-73201064240212917.50%7168019.45033427101138000.00%000000.8200000200
10Roland McKeownAdmirals (NSH)D28325281420069375421345.56%5669424.801891752000075000.00%000000.8100000130
11Radim ZohornaPredatorsLW185152011008418223536.10%241423.0323512300112630072.97%3700100.9614000011
12Egor SokolovAdmirals (NSH)LW/RW2810717-22053212522718.00%1149717.751011241000002153.49%4300000.6813000101
13Declan ChisholmAdmirals (NSH)D282131541605823338226.06%4456820.32112940000161000.00%000000.5300000001
14Ole Bjorgvik-HolmAdmirals (NSH)D28381143006314198815.79%4756020.03011540000156000.00%000000.3900000000
15Tyler TuckerAdmirals (NSH)D28369922083172351513.04%3742415.150003100002100.00%000000.4200000101
16Luke GreenAdmirals (NSH)D61124405020050.00%59816.440000000007010.00%000000.4100000010
17Luke StevensAdmirals (NSH)LW28011020566070.00%1893.1800000000000075.00%400000.2200000000
Statistiques d’équipe totales ou en moyenne58419229648846278010171036193351113089.93%479972816.662133541594801231650520757.38%374700191.00526000182023
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
1Connor IngramAdmirals (NSH)2516720.9242.89151642739570100.78919250351
2Laurent BrossoitPredators1812420.9062.86109000525550000.5717180010
3Joey DaccordAdmirals (NSH)32010.9003.5718500111100000.6673315000
Statistiques d’équipe totales ou en moyenne46301150.9162.9227914213616220100.724294615361


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
Axel Jonsson-FjallbyAdmirals (NSH)RW221998-02-10No170 Lbs6 ft0NoNoNo1Pro & Farm860,000$0$0$NoLien / Lien NHL
Carsen TwarynskiAdmirals (NSH)C/LW/RW221997-11-24No198 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Connor IngramAdmirals (NSH)G231997-03-31No196 Lbs6 ft2NoNoNo3Pro & Farm733,333$0$0$No733,333$733,333$Lien / Lien NHL
Declan ChisholmAdmirals (NSH)D202000-01-12Yes185 Lbs6 ft1NoNoNo3Pro & Farm825,000$0$0$No825,000$825,000$Lien NHL
Dmytro TimashovAdmirals (NSH)LW/RW241996-10-01No198 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Eetu LuostarinenAdmirals (NSH)C221998-09-02No190 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Eetu TuulolaAdmirals (NSH)RW221998-03-17No224 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Egor SokolovAdmirals (NSH)LW/RW202000-06-07Yes222 Lbs6 ft3NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien NHL
Hubert LabrieAdmirals (NSH)D291991-07-12No180 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Joey DaccordAdmirals (NSH)G241996-08-19No197 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Luke GreenAdmirals (NSH)D221998-01-12No188 Lbs6 ft1NoNoNo1Pro & Farm838,333$0$0$NoLien / Lien NHL
Luke StevensAdmirals (NSH)LW231997-02-11Yes208 Lbs6 ft5NoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Markus GranlundAdmirals (NSH)C/LW271993-04-16No180 Lbs6 ft0NoNoNo1Pro & Farm1,300,000$0$0$NoLien / Lien NHL
Ole Bjorgvik-HolmAdmirals (NSH)D182002-05-23Yes190 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Olle Eriksson EkAdmirals (NSH)G211999-06-22Yes189 Lbs6 ft3NoNoNo2Pro & Farm878,889$0$0$No878,889$Lien NHL
Roland McKeownAdmirals (NSH)D241996-01-20No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Tyler GaudetAdmirals (NSH)C/LW271993-04-04No205 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Tyler GraovacAdmirals (NSH)C271993-04-27No208 Lbs6 ft5NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Tyler TuckerAdmirals (NSH)D202000-03-01Yes203 Lbs6 ft1NoNoNo3Pro & Farm808,333$0$0$No808,333$808,333$Lien NHL
Zac RinaldoAdmirals (NSH)C/LW/RW301990-06-15No192 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2023.35196 Lbs6 ft21.65810,944$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler GraovacDmytro Timashov40122
2Egor SokolovMarkus GranlundZac Rinaldo30122
3Carsen TwarynskiTyler GaudetAxel Jonsson-Fjallby20122
4Luke StevensTyler GraovacEetu Tuulola10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeown40122
2Declan ChisholmOle Bjorgvik-Holm30122
3Tyler Tucker20122
4Roland McKeown10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler GraovacDmytro Timashov60122
2Egor SokolovMarkus GranlundZac Rinaldo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeown60122
2Declan ChisholmOle Bjorgvik-Holm40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler Graovac60122
2Dmytro TimashovMarkus Granlund40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeown60122
2Declan ChisholmOle Bjorgvik-Holm40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Graovac60122Roland McKeown60122
240122Declan ChisholmOle Bjorgvik-Holm40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler Graovac60122
2Dmytro TimashovMarkus Granlund40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Roland McKeown60122
2Declan ChisholmOle Bjorgvik-Holm40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler GraovacDmytro TimashovRoland McKeown
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler GraovacDmytro TimashovRoland McKeown
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Gaudet, Carsen Twarynski, Axel Jonsson-FjallbyTyler Gaudet, Carsen TwarynskiAxel Jonsson-Fjallby
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Tucker, , Declan ChisholmTyler Tucker, Declan Chisholm
Tirs de pénalité
Tyler Graovac, , Dmytro Timashov, Markus Granlund, Egor Sokolov
Gardien
#1 : Connor Ingram, #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
1Americans1010000046-21010000046-20000000000000.0004711008955516416666776754545176274250.00%3166.67%0970179054.19%888175250.68%45987152.70%10497461236322567270
2Barracuda10000010431100000104310000000000021.000459008955516346666776754544172233133.33%10100.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
3Bears11000000532000000000001100000053221.0005101500895551632666677675453210628000.00%30100.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
4Bruins210000018801000000134-11100000054130.750813210089555168466667767545681718615240.00%8275.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
5Checkers20200000711-41010000045-11010000036-300.000712190089555167466667767545961712454125.00%5260.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
6Comets210000011716111000000752100000011011-130.750173047008955516131666677675451213416382150.00%8362.50%0970179054.19%888175250.68%45987152.70%10497461236322567270
7Condors1000010078-1000000000001000010078-110.5007101700895551662666677675454896232150.00%2150.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
8Devils220000001046110000006421100000040441.0001016260189555167666667767545781920433266.67%90100.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
9Eagles330000001477220000008351100000064261.00014253900895551611466667767545107301676500.00%7271.43%0970179054.19%888175250.68%45987152.70%10497461236322567270
10Griffins1010000025-3000000000001010000025-300.000235008955516446666776754542128255120.00%4175.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
11Gulls10100000511-610100000511-60000000000000.0005914008955516436666776754555188252150.00%3233.33%0970179054.19%888175250.68%45987152.70%10497461236322567270
12Heat2100001013671000001021111000000115641.0001317300089555161626666776754565131852200.00%8275.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
13IceHogs31200000711-4110000005232020000029-720.33371118008955516108666677675451435020617114.29%10370.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
14Marlies1010000029-7000000000001010000029-700.00023500895551643666677675457514421100.00%2150.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
15Monsters220000001046110000003211100000072541.000101727008955516716666776754589281654400.00%8187.50%0970179054.19%888175250.68%45987152.70%10497461236322567270
16Moose2110000079-2110000004041010000039-620.500713200189555167766667767545972512502150.00%60100.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
17Palm Springs1010000056-11010000056-10000000000000.000581300895551645666677675455815425100.00%110.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
18Rampage20200000111-100000000000020200000111-1000.000123008955516636666776754591246424125.00%3166.67%0970179054.19%888175250.68%45987152.70%10497461236322567270
19Reign20101000712-51010000039-61000100043120.5007101700895551659666677675458625837200.00%3166.67%0970179054.19%888175250.68%45987152.70%10497461236322567270
20Roadrunners21100000612-61010000007-71100000065120.50061117008955516816666776754595286445120.00%3233.33%0970179054.19%888175250.68%45987152.70%10497461236322567270
21Rocket2110000068-2110000005411010000014-320.500610160089555167066667767545832614414125.00%6266.67%0970179054.19%888175250.68%45987152.70%10497461236322567270
22Senators10100000310-70000000000010100000310-700.000336008955516366666776754573211026000.00%5260.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
23Sound Tigers211000009721010000045-11100000052320.500914230089555168466667767545861918433266.67%7271.43%1970179054.19%888175250.68%45987152.70%10497461236322567270
24Stars220000001813500000000000220000001813541.00018304800895551616266667767545882965511100.00%3166.67%0970179054.19%888175250.68%45987152.70%10497461236322567270
25Thunderbirds1010000002-2000000000001010000002-200.000000008955516106666776754551151222200.00%6183.33%0970179054.19%888175250.68%45987152.70%10497461236322567270
26Wild1100000011830000000000011000000118321.000111627008955516676666776754561121039000.00%4325.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
27Wolf Pack20100001614-810100000411-71000000123-110.2506111700895551682666677675451082710444250.00%5260.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
28Wolves2010000147-31000000134-11010000013-210.250481200895551680666677675456118834300.00%4175.00%0970179054.19%888175250.68%45987152.70%10497461236322567270
Total47192001124198231-332088000227992-1327111201102119139-20490.52119832452202895551620356666776754521465893001104802227.50%1374070.80%1970179054.19%888175250.68%45987152.70%10497461236322567270
_Since Last GM Reset47192001124198231-332088000227992-1327111201102119139-20490.52119832452202895551620356666776754521465893001104802227.50%1374070.80%1970179054.19%888175250.68%45987152.70%10497461236322567270
_Vs Conference28121101121121133-121254000214248-61677011007985-6320.571121195316018955516127266667767545123035315466548918.75%702268.57%0970179054.19%888175250.68%45987152.70%10497461236322567270
_Vs Division1258000016269-7731000012939-105270000033303110.4586297159008955516616666677675455381497025717423.53%301163.33%0970179054.19%888175250.68%45987152.70%10497461236322567270

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4749W119832452220352146589300110402
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4719201124198231
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
208800227992
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2711121102119139
Derniers 10 matchs
WLOTWOTL SOWSOL
631000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
802227.50%1374070.80%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
666677675458955516
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
970179054.19%888175250.68%45987152.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10497461236322567270


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
3 - 2021-10-1415Palm Springs6Admirals5BLSommaire du match
5 - 2021-10-1629Checkers5Admirals4BLSommaire du match
8 - 2021-10-1947Reign9Admirals3BLSommaire du match
10 - 2021-10-2158Wolf Pack11Admirals4BLSommaire du match
12 - 2021-10-2375Admirals3Moose9ALSommaire du match
13 - 2021-10-2480Admirals11Wild8AWSommaire du match
15 - 2021-10-2693Barracuda3Admirals4BWXXSommaire du match
19 - 2021-10-30117Sound Tigers5Admirals4BLSommaire du match
22 - 2021-11-02140Admirals11Heat5AWSommaire du match
23 - 2021-11-03145Admirals7Condors8ALXSommaire du match
25 - 2021-11-05159Admirals10Comets11ALXXSommaire du match
27 - 2021-11-07175Admirals2IceHogs7ALSommaire du match
30 - 2021-11-10193Admirals9Stars8AWSommaire du match
31 - 2021-11-11201Admirals0Rampage8ALSommaire du match
33 - 2021-11-13219Roadrunners7Admirals0BLSommaire du match
36 - 2021-11-16232Admirals2Marlies9ALSommaire du match
38 - 2021-11-18250Admirals3Senators10ALSommaire du match
40 - 2021-11-20266Admirals1Rocket4ALSommaire du match
42 - 2021-11-22283Gulls11Admirals5BLSommaire du match
44 - 2021-11-24298Wolves4Admirals3BLXXSommaire du match
46 - 2021-11-26310Devils4Admirals6BWSommaire du match
47 - 2021-11-27324Admirals6Eagles4AWSommaire du match
50 - 2021-11-30342Monsters2Admirals3BWSommaire du match
52 - 2021-12-02358Bruins4Admirals3BLXXSommaire du match
54 - 2021-12-04373Rocket4Admirals5BWSommaire du match
57 - 2021-12-07391Admirals2Griffins5ALSommaire du match
59 - 2021-12-09405Admirals5Sound Tigers2AWSommaire du match
60 - 2021-12-10414Admirals4Devils0AWSommaire du match
62 - 2021-12-12431Admirals2Wolf Pack3ALXXSommaire du match
64 - 2021-12-14443Heat1Admirals2BWXXSommaire du match
66 - 2021-12-16460Eagles2Admirals3BWSommaire du match
67 - 2021-12-17469Admirals0IceHogs2ALSommaire du match
69 - 2021-12-19484Admirals3Checkers6ALSommaire du match
71 - 2021-12-21498Moose0Admirals4BWSommaire du match
73 - 2021-12-23511Admirals0Thunderbirds2ALSommaire du match
77 - 2021-12-27530Admirals9Stars5AWSommaire du match
79 - 2021-12-29543Admirals5Bears3AWSommaire du match
80 - 2021-12-30554Admirals7Monsters2AWSommaire du match
82 - 2022-01-01570IceHogs2Admirals5BWSommaire du match
85 - 2022-01-04593Admirals1Wolves3ALSommaire du match
87 - 2022-01-06611Admirals4Reign3AWXSommaire du match
89 - 2022-01-08623Admirals6Roadrunners5AWSommaire du match
92 - 2022-01-11641Eagles1Admirals5BWSommaire du match
94 - 2022-01-13656Americans6Admirals4BLSommaire du match
96 - 2022-01-15665Admirals5Bruins4AWSommaire du match
98 - 2022-01-17689Admirals1Rampage3ALSommaire du match
99 - 2022-01-18696Comets5Admirals7BWSommaire du match
101 - 2022-01-20708Moose-Admirals-
103 - 2022-01-22728Griffins-Admirals-
106 - 2022-01-25751Admirals-Palm Springs-
108 - 2022-01-27766Admirals-Condors-
113 - 2022-02-01803Comets-Admirals-
136 - 2022-02-24819Stars-Admirals-
138 - 2022-02-26834Crunch-Admirals-
142 - 2022-03-02863Admirals-Palm Springs-
145 - 2022-03-05888Admirals-Barracuda-
148 - 2022-03-08908Stars-Admirals-
150 - 2022-03-10925Gulls-Admirals-
152 - 2022-03-12932Rampage-Admirals-
153 - 2022-03-13945Admirals-Wild-
155 - 2022-03-15957Penguins-Admirals-
157 - 2022-03-17970Admirals-Phantoms-
159 - 2022-03-19990Marlies-Admirals-
161 - 2022-03-211003Admirals-Gulls-
162 - 2022-03-221013Admirals-Reign-
164 - 2022-03-241026Admirals-Wolves-
167 - 2022-03-271049Phantoms-Admirals-
169 - 2022-03-291064Senators-Admirals-
172 - 2022-04-011083Admirals-Americans-
173 - 2022-04-021097Bears-Admirals-
176 - 2022-04-051120Wild-Admirals-
180 - 2022-04-091144Thunderbirds-Admirals-
181 - 2022-04-101155Admirals-Penguins-
183 - 2022-04-121171Condors-Admirals-
185 - 2022-04-141187Barracuda-Admirals-
187 - 2022-04-161199IceHogs-Admirals-
188 - 2022-04-171212Rampage-Admirals-
194 - 2022-04-231253Admirals-Crunch-
195 - 2022-04-241268Wild-Admirals-
197 - 2022-04-261280Heat-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
199 - 2022-04-281296Admirals-Eagles-
200 - 2022-04-291312Admirals-Roadrunners-



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
21 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
815,747$ 1,621,888$ 262,333$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 815,747$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 102 8,069$ 823,038$




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
282244207333216293-7741161802131112140-284182405202104153-497421636758321078785022320755744703312891481215033295917.93%2965880.41%0924239438.60%1114319034.92%496132437.46%1675111522616421035479
282284202046221260-3941152201021112134-2241132001025109126-1774221373594220747863227807247907452657779117817653477120.46%4538681.02%11255252949.62%1375288547.66%654126951.54%1901126720116241060526
382195301144183316-13341122301131101153-52417300001382163-8153183311494310675457245807957848683951116564215253315416.31%2505179.60%2793241732.81%1135367830.86%423123234.33%14859882502633976429
382115601365178302-124418270012398152-54413290124280150-7044178302480000567045239607887897853803113975715683204815.00%2967375.34%3920241238.14%1283352636.39%473124138.11%153310162459629984437
4823537040242512447411817020131301171341172002011121127-686251466717320998660260908388738842811866171421215188917.18%72713781.16%81625297254.68%1633320550.95%695127154.68%1940128219886501034508
582234603433295363-6841112501112153177-2441122102321142186-4465295507802110117937932790110310461098301692565721451892915.34%2657870.57%61837299461.36%1281227556.31%840144058.33%194613882028559997485
68297000012238589-3514153600000112284-1724143400012126305-1792223843066820090717630880966101411015023145531719201732715.61%1334566.17%41320277447.58%1282302442.39%735160745.74%146110172534566939399
78247210315534222611641229011351791106941251202020163116471163425959371201351099035540111712051204265978562521022175023.04%2745081.75%81998331960.20%1592286155.64%792139256.90%2222161417325531026534
882304401043323320341161901032172163941142500011151157-6733235488713001519077365801185118812594083116535519251543623.38%1433674.83%01295287245.09%1483361341.05%631139245.33%178613062232534936442
981303502455308316-840171302314160152841132200141148164-1683308517825310133897933340106811421099352799341620081873619.25%1885471.28%11380296346.57%1403333142.12%655141646.26%186613402077553979476
1047192001124198231-332088000227992-1327111201102119139-204919832452202895551620356666776754521465893001104802227.50%1374070.80%1970179054.19%888175250.68%45987152.70%10497461236322567270
Total Saison régulière86627546602517394427533460-7074291482170118212414081674-2664371272490149182013451786-441739275347407493201289105586968230921666100161025097913680410775777319686284552118.31%316270877.61%34143172943648.64%144693334043.40%68531445547.41%1886813083230656269105394990
Séries éliminatoires
712750000039291063300000201646420000019136143965104010101315470015413716337514582297491020.41%37878.38%027852552.95%22544650.45%10319353.37%2942002999215978
Total Séries éliminatoires12750000039291063300000201646420000019136143965104010101315470015413716337514582297491020.41%37878.38%027852552.95%22544650.45%10319353.37%2942002999215978