Admirals

GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 13 | GA: 7 | PP%: 16.67% | PK%: 88.37%
DG: Stéphane Fournier | Morale : 99 | Moyenne d'Équipe : 60
Prochain matchs #60 vs Eagles
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1Chandler StephensonXX100.00685567727367697171706679557477168680
2Peter HollandX100.00685569747568706775626363556464185640
3Lukas SedlakXX100.00805577767568706983606173555151173640
4Jordan SzwarzX100.00625567687669696660626060555050187610
5Marek HrivikX100.00615564717972626150616260555050191600
6Chase Balisy (A)X100.00635565666461726060596060557172188600
7Mike HalmoX100.00605559647568715550555556555050188570
8Greg ChaseX100.00755566617264565550555555556650188560
9Stefan FournierX100.00555556607873645550555555555050186560
10Jaedon Descheneau (R)X100.00655566626662545550555555555050187550
11Sam Anas (R)X100.00605559625859735550555556555050188550
12Danny KristoX100.00565555555657575550555555557170124540
13Travis SanheimX100.00735583906578767825676388557475182740
14Gustav OlofssonX100.00725582738172686825676073555353189660
15John GilmourX100.00755579626381657225626473555353159640
16Dean KukanX100.00665570667971657225626066555353187630
17Nick SeelerX100.00725571627776587225626071555353140630
18Emil Johansson (R)X100.00555555605555715525555555555555186550
Rayé
1Jansen Harkins (R)X100.00565555555557565550555555555050137530
2Philip Larsen (R)X100.00555555605555755525555555556262168560
3Ben Thomas (R)X100.00555555605555725525555555555353162550
4Andrey PedanX100.00555555605555635525555555555353125540
5Dysin MayoX100.00555556605656605625565656555353125540
6Jacob Middleton (R)X100.00555555605555665525555555555353138540
7Dominik Masin (R)X100.00555555605555715525555555555353125540
8Gus YoungX100.00555555605555595525555555555353124540
MOYENNE D'ÉQUIPE100.0063556465666466614158586155565616559
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Louis Domingue100.0079747671708078688081557670174730
2Marek Langhamer100.0057796963696968696564556263186650
Rayé
1Ryan Miller100.0085828787858485848383559696126830
MOYENNE D'ÉQUIPE100.007478777475787774767655787616274
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Taylor84888185735878CAN465100,000$


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 GP 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
1Stefan FournierAdmirals (Nas)RW55163005471171.43%08416.95202324000002016.67%600001.4200000210
2Dean KukanAdmirals (Nas)D5235260461361315.38%710721.532131123000029100.00%000000.9300000001
3Peter HollandAdmirals (Nas)C513422010512137107.69%011122.371124220000320059.42%13800000.7200002000
4John GilmourAdmirals (Nas)D504422201165270.00%310621.33033428000021000.00%000000.7500000000
5Mike HalmoAdmirals (Nas)LW51343408553320.00%08617.23011224000000020.00%500000.9300000110
6Gustav OlofssonAdmirals (Nas)D51230609982512.50%1111122.40123726000030000.00%000000.5400000011
7Nick SeelerAdmirals (Nas)D31230204213037.69%45618.86022810101113100.00%000001.0600000001
8Emil JohanssonAdmirals (Nas)D50223801142010.00%37314.7300000000010000.00%000000.5400000000
9Chandler StephensonAdmirals (Nas)C/LW1022100024010.00%02323.3201135011090057.14%1400001.7200000000
10Chase BalisyAdmirals (Nas)C50222403187040.00%010420.810003230000160053.57%11200000.3800000000
11Greg ChaseAdmirals (Nas)C51011207620150.00%35711.58000000000140047.46%5900000.3500000000
12Jordan SzwarzAdmirals (Nas)RW51010008641625.00%010420.840003200000250040.00%1000000.1900000000
13Danny KristoAdmirals (Nas)LW1000020000000.00%044.470000000000000.00%000000.0000000000
14Jaedon DescheneauAdmirals (Nas)RW5000120455100.00%0489.6600000000000050.00%200000.0000000000
15Sam AnasAdmirals (Nas)C5000-100280010.00%0367.2900000000000039.29%2800000.0000000000
16Jansen HarkinsAdmirals (Nas)C3000000120010.00%0206.7100003000040066.67%900000.0000000000
17Sam KurkerNashville PredatorsRW3000020111000.00%031.3300001000000033.33%300000.0000000000
18Lukas SedlakAdmirals (Nas)C/LW1000120213300.00%01919.4200015000050012.50%800000.0000000000
19Linden VeyNashville PredatorsRW4000-120430040.00%0317.950000000000000.00%200000.0000000000
20Marek HrivikAdmirals (Nas)LW5000040202250.00%17214.42000221000020000.00%100000.0000000000
21Travis SanheimAdmirals (Nas)D30000803710030.00%47324.45000714000020000.00%000000.0000000000
22Jacob MiddletonAdmirals (Nas)D3000140420010.00%0248.270000000006000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne87132437201001098109104287012.50%36136315.67611175825511212624051.39%39700000.5400002333
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
1Marek LanghamerAdmirals (Nas)43100.9281.50240216830100.000041001
2Louis DomingueAdmirals (Nas)11000.9711.0060001340000.000010100
Stats d'équipe Total ou en Moyenne54100.9401.403002171170100.000051101


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Andrey PedanAdmirals (Nas)D231993-07-02No214 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ben ThomasAdmirals (Nas)D201996-05-28Yes190 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Chandler StephensonAdmirals (Nas)C/LW221994-04-22No190 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Chase BalisyAdmirals (Nas)C241992-02-02No170 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Danny KristoAdmirals (Nas)LW261990-06-18No195 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Dean KukanAdmirals (Nas)D231993-07-08No209 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Dominik MasinAdmirals (Nas)D201996-02-01Yes189 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Dysin MayoAdmirals (Nas)D201996-08-17No194 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Emil JohanssonAdmirals (Nas)D201996-05-06Yes190 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Greg ChaseAdmirals (Nas)C221995-01-01No189 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm894,000$0$0$No
Gus YoungAdmirals (Nas)D251991-07-10No190 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Gustav OlofssonAdmirals (Nas)D221994-12-01No191 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Jacob MiddletonAdmirals (Nas)D211996-01-01Yes200 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Jaedon DescheneauAdmirals (Nas)RW261990-03-04Yes186 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Jansen HarkinsAdmirals (Nas)C191997-05-23Yes194 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
John GilmourAdmirals (Nas)D231993-05-16No180 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Jordan SzwarzAdmirals (Nas)RW251991-05-14No200 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Louis DomingueAdmirals (Nas)G241992-03-06No210 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm2,500,000$0$0$No
Lukas SedlakAdmirals (Nas)C/LW231993-02-25No198 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Marek HrivikAdmirals (Nas)LW251991-08-28No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Marek LanghamerAdmirals (Nas)G221994-07-21No184 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Mike HalmoAdmirals (Nas)LW251991-05-14No209 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Nick SeelerAdmirals (Nas)D231993-06-02No200 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Peter HollandAdmirals (Nas)C261991-01-13No194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Philip LarsenAdmirals (Nas)D271989-12-07Yes182 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm450,000$0$0$No
Ryan MillerAdmirals (Nas)G361980-07-16No168 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm8,500,000$0$0$No
Sam AnasAdmirals (Nas)C231993-05-31Yes160 Lbs5 ft8NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Stefan FournierAdmirals (Nas)RW241992-04-29No205 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Travis SanheimAdmirals (Nas)D201996-03-29No181 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.41192 Lbs6 ft12.31739,448$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lukas SedlakChandler StephensonJordan Szwarz35113
2Marek HrivikPeter HollandStefan Fournier35122
3Mike HalmoChase BalisyJaedon Descheneau20122
4Danny KristoSam AnasGreg Chase10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimJohn Gilmour40122
2Gustav OlofssonDean Kukan30122
3Emil JohanssonNick Seeler20122
4Travis SanheimJohn Gilmour10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chandler StephensonPeter HollandLukas Sedlak60113
2Mike HalmoChase BalisyStefan Fournier40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimJohn Gilmour60122
2Gustav OlofssonDean Kukan40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Peter HollandChandler Stephenson60131
2Lukas SedlakChase Balisy40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav OlofssonTravis Sanheim60140
2John GilmourDean Kukan40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Chandler Stephenson60131Travis SanheimJohn Gilmour60140
2Lukas Sedlak40131Gustav OlofssonDean Kukan40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Peter HollandChandler Stephenson60113
2Lukas SedlakChase Balisy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav OlofssonJohn Gilmour60122
2Nick SeelerDean Kukan40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chandler StephensonPeter HollandLukas SedlakTravis SanheimJohn Gilmour
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lukas SedlakPeter HollandChandler StephensonTravis SanheimJohn Gilmour
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lukas Sedlak, Chandler Stephenson, Peter HollandChandler Stephenson, Lukas SedlakLukas Sedlak
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Travis Sanheim, John Gilmour, Gustav OlofssonGustav OlofssonTravis Sanheim, Nick Seeler
Tirs de Pénalité
Peter Holland, Chandler Stephenson, Chase Balisy, Marek Hrivik, Lukas Sedlak
Gardien
#1 : Louis Domingue, #2 : Marek Langhamer


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
LigueDomicileVisiteur
# 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
1Americans541000001376321000007522200000062480.8001324370183201044434260117361029836616.67%43588.37%18915856.33%8117147.37%357149.30%11575123376030
Total541000001376321000007522200000062480.8001324370183201044434260117361029836616.67%43588.37%18915856.33%8117147.37%357149.30%11575123376030
_Since Last GM Reset541000001376321000007522200000062480.8001324370183201044434260117361029836616.67%43588.37%18915856.33%8117147.37%357149.30%11575123376030
_Vs Conference541000001376321000007522200000062480.8001324370183201044434260117361029836616.67%43588.37%18915856.33%8117147.37%357149.30%11575123376030

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
58W4132437104117361029801
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5410000137
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000075
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000062
Derniers 10 Matchs
WLOTWOTL SOWSOL
410000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
36616.67%43588.37%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
44342608320
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
8915856.33%8117147.37%357149.30%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11575123376030


Derniers Match 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 - 2019-04-077Americans3Admirals1LSommaire du Match
4 - 2019-04-0915Americans1Admirals4WSommaire du Match
6 - 2019-04-1123Admirals2Americans0WSommaire du Match
8 - 2019-04-1331Admirals4Americans2WSommaire du Match
10 - 2019-04-1539Americans1Admirals2WSommaire du Match
16 - 2019-04-2160Admirals-Eagles-
18 - 2019-04-2364Admirals-Eagles-
20 - 2019-04-2568Eagles-Admirals-
22 - 2019-04-2772Eagles-Admirals-
24 - 2019-04-2976Admirals-Eagles-
26 - 2019-05-0180Eagles-Admirals-
28 - 2019-05-0384Admirals-Eagles-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 214,440$ 104,190$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 0$




LigueDomicileVisiteur
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
13541000001376321000007522200000062481324370183201044434260117361029836616.67%43588.37%18915856.33%8117147.37%357149.30%11575123376030
Total Séries541000001376321000007522200000062481324370183201044434260117361029836616.67%43588.37%18915856.33%8117147.37%357149.30%11575123376030