Americans

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 7 | GA: 13 | PP%: 11.63% | PK%: 83.33%
DG: Frederic Goldstyn | Morale : 64 | Moyenne d'Équipe : 59
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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
1Anton SlepyshevX100.00875560777771657250666771557870184680
2Brandon PirriX100.00655574848078786550606560557774183660
3John QuennevilleX100.00595563807669696250606060555050183610
4Justin Kloos (R)X100.00655573716269766050606260555050183600
5Taylor BeckX100.00605569667869696050606161555556183600
6Cameron DarcyX100.00755565627767665550555555557166183580
7Eric Cornel (R)X100.00565565627770715550555555557266182580
8Conner Bleackley (R)X100.00565566627367685550555555557371184580
9Shane HarperX100.00605559726866625850575859555050184580
10Deven Sideroff (R)X100.00565555555657575550555555557573182550
11Devin Setoguchi (R)X100.00555555555555555550555555557171138540
12Chase Lang (R)X100.00565555555758585550555555556568137540
13Kyle QuinceyX100.00725561738875816725636069558578180690
14Casey NelsonX100.00755588757284617225636577557271177690
15Kevin GravelX100.00705575707075647025626067555353183640
16Calle Rosen (R)X100.00605562755872726425616062556262184620
17Justin HollX100.00605569636281686525606562555353182610
18Reece ScarlettX100.00555557605757645725575757555353139550
Rayé
1Erik CondraX100.00565555555657575550555555557173120540
2Greg CareyX100.00565555555657565550555555557150119530
3Julius Nattinen (R)X100.00565555555556555550555555555050120520
4Vaclav Karabacek (R)X100.00565555555555555550555555555050120520
5Yakov Trenin (R)X100.00565555555555555550555555555050120520
6Robbie RussoX100.00555555605555755525555555555353119540
7Jyrki JokipakkaX100.00555555605555555525555555556262120540
8Vojtech MozikX100.00555555605555675525555555555353120540
9Blake Siebenaler (R)X100.00555555605555645525555555555353120540
MOYENNE D'ÉQUIPE100.0061556264646465594158585955626015758
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
1Eddie Lack100.0075717076808066657279557977173720
2Marek Mazanec100.0071808776686873667070557169179700
Rayé
1Charlie Lindgren100.0066706772707071687071556967145670
2Alexandar Georgiev (R)100.0072666366806455718072556060119660
MOYENNE D'ÉQUIPE100.007172727375716668737355706815469
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Stevens51536157657059CAN521100,000$


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
1Casey NelsonAmericans (Buf)D5134-1605515696.67%912224.551231434000026000.00%000000.6500000000
2Kyle QuinceyAmericans (Buf)D5123-116014613077.69%311723.50022933000020000.00%000000.5100000000
3Deven SideroffAmericans (Buf)RW5303-120114111027.27%27314.69303729000001083.33%600000.8200000010
4Anton SlepyshevAmericans (Buf)LW5112-1802312961711.11%111422.821018340000250048.33%6000000.3500000100
5Kevin GravelAmericans (Buf)D5022-1604011350.00%310821.71022830000124000.00%000000.3700000000
6Calle RosenAmericans (Buf)D5112-1605496811.11%110521.04011830000021000.00%000000.3800000001
7John QuennevilleAmericans (Buf)C5011-1204129180.00%29118.220115290001150050.00%11000000.2200000000
8Brandon PirriAmericans (Buf)C5011-20021011550.00%012024.110004340001290048.74%11900000.1700000010
9Justin KloosAmericans (Buf)C5011-220690040.00%16212.58000000000140038.18%5500000.3200000000
10Taylor BeckAmericans (Buf)LW5011-1407610450.00%19118.370113300000160075.00%800000.2200000000
11Shane HarperAmericans (Buf)RW5011-155225240.00%08416.82011233000000050.00%400000.2400001000
12Cameron DarcyAmericans (Buf)C5000000231020.00%0285.7100000000000054.55%2200000.0000000000
13Devin SetoguchiAmericans (Buf)RW5000-255251010.00%0479.5600000000000050.00%200000.0000001000
14Justin HollAmericans (Buf)D5000-31001054020.00%27014.070000100004000.00%000000.0000000000
15Chase LangAmericans (Buf)RW5000040142020.00%0285.710000000000000.00%100000.0000000000
16Eric CornelAmericans (Buf)C5000-340454230.00%05511.1900002000110040.00%1000000.0000000000
17Conner BleackleyAmericans (Buf)C5000000012010.00%0316.2500001000000066.67%300000.0000000000
18Reece ScarlettAmericans (Buf)D5000-380850010.00%37414.9300000000012000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne9071421-2488101109811736845.98%28142915.88510156832900042121048.75%40000000.2900002121
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
1Eddie LackAmericans (Buf)51400.8652.872720013960000.000050000
2Marek MazanecAmericans (Buf)10001.0000.002600080000.000005000
Stats d'équipe Total ou en Moyenne61400.8752.6129900131040000.000055000


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
Alexandar GeorgievAmericans (Buf)G201996-02-10Yes176 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Anton SlepyshevAmericans (Buf)LW221994-05-13No194 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Blake SiebenalerAmericans (Buf)D201996-02-27Yes208 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Brandon PirriAmericans (Buf)C251991-04-09No183 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Calle RosenAmericans (Buf)D221994-02-02Yes176 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Cameron DarcyAmericans (Buf)C221994-03-02No192 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Casey NelsonAmericans (Buf)D241992-07-18No183 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Charlie LindgrenAmericans (Buf)G231993-12-17No181 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Chase LangAmericans (Buf)RW201996-09-13Yes187 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Conner BleackleyAmericans (Buf)C201996-02-07Yes192 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Deven SideroffAmericans (Buf)RW191997-04-14Yes179 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Devin SetoguchiAmericans (Buf)RW301987-01-01Yes205 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Eddie LackAmericans (Buf)G291988-01-05No187 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$No
Eric CornelAmericans (Buf)C201996-04-11Yes191 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Erik CondraAmericans (Buf)RW301986-08-06No190 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm350,000$0$0$No
Greg CareyAmericans (Buf)C261990-05-09No195 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
John QuennevilleAmericans (Buf)C201996-04-16No195 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Julius NattinenAmericans (Buf)C191997-01-14Yes205 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Justin HollAmericans (Buf)D241992-01-30No170 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Justin KloosAmericans (Buf)C231993-11-30Yes179 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Jyrki JokipakkaAmericans (Buf)D251991-08-20No210 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Kevin GravelAmericans (Buf)D241992-03-06No185 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Kyle QuinceyAmericans (Buf)D311985-08-12No216 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,000,000$0$0$No
Marek MazanecAmericans (Buf)G251991-07-18No187 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Reece ScarlettAmericans (Buf)D231993-03-30No180 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Robbie RussoAmericans (Buf)D231993-02-15No190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Shane HarperAmericans (Buf)RW271989-01-31No193 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Taylor BeckAmericans (Buf)LW251991-05-12No203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Vaclav KarabacekAmericans (Buf)RW201996-05-02Yes199 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Vojtech MozikAmericans (Buf)D241992-12-26No196 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Yakov TreninAmericans (Buf)C201997-01-13Yes205 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3123.39191 Lbs6 ft12.74398,387$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton SlepyshevBrandon PirriShane Harper40122
2Taylor BeckJohn QuennevilleDeven Sideroff30122
3Eric CornelJustin KloosDevin Setoguchi20122
4Conner BleackleyCameron DarcyChase Lang10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle QuinceyCasey Nelson40122
2Kevin GravelCalle Rosen30122
3Justin HollReece Scarlett20122
4Kyle QuinceyCasey Nelson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton SlepyshevBrandon PirriShane Harper60122
2Taylor BeckJohn QuennevilleDeven Sideroff40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle QuinceyCasey Nelson60122
2Kevin GravelCalle Rosen40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anton SlepyshevBrandon Pirri60122
2John QuennevilleTaylor Beck40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle QuinceyCasey Nelson60122
2Kevin GravelCalle Rosen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anton Slepyshev60122Kyle QuinceyCasey Nelson60122
2Brandon Pirri40122Kevin GravelCalle Rosen40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anton SlepyshevBrandon Pirri60122
2John QuennevilleTaylor Beck40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kyle QuinceyCasey Nelson60122
2Kevin GravelCalle Rosen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton SlepyshevBrandon PirriShane HarperKyle QuinceyCasey Nelson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton SlepyshevBrandon PirriShane HarperKyle QuinceyCasey Nelson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Eric Cornel, Conner Bleackley, Justin KloosEric Cornel, Conner BleackleyJustin Kloos
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Justin Holl, Reece Scarlett, Kevin GravelJustin HollReece Scarlett, Kevin Gravel
Tirs de Pénalité
Anton Slepyshev, Brandon Pirri, John Quenneville, Taylor Beck, Justin Kloos
Gardien
#1 : Eddie Lack, #2 : Marek Mazanec


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
1Admirals51400000713-62020000026-43120000057-220.200714210031301172645460104288811043511.63%36683.33%09017152.63%6915843.67%367150.70%12385115406030
Total51400000713-62020000026-43120000057-220.200714210031301172645460104288811043511.63%36683.33%09017152.63%6915843.67%367150.70%12385115406030
_Since Last GM Reset51400000713-62020000026-43120000057-220.200714210031301172645460104288811043511.63%36683.33%09017152.63%6915843.67%367150.70%12385115406030
_Vs Conference51400000713-62020000026-43120000057-220.200714210031301172645460104288811043511.63%36683.33%09017152.63%6915843.67%367150.70%12385115406030
_Vs Division50000000713-62000000026-43000000057-200.000714210031301172645460104288811043511.63%36683.33%09017152.63%6915843.67%367150.70%12385115406030

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L471421117104288811000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5140000713
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000026
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
312000057
Derniers 10 Matchs
WLOTWOTL SOWSOL
140000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
43511.63%36683.33%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
26454603130
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
9017152.63%6915843.67%367150.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12385115406030


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 - 2019-04-077Americans3Admirals1WSommaire du Match
4 - 2019-04-0915Americans1Admirals4LSommaire du Match
6 - 2019-04-1123Admirals2Americans0LSommaire du Match
8 - 2019-04-1331Admirals4Americans2LSommaire du Match
10 - 2019-04-1539Americans1Admirals2LSommaire du Match



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 123,500$ 127,250$ 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
1351400000713-62020000026-43120000057-22714210031301172645460104288811043511.63%36683.33%09017152.63%6915843.67%367150.70%12385115406030
Total Séries51400000713-62020000026-43120000057-22714210031301172645460104288811043511.63%36683.33%09017152.63%6915843.67%367150.70%12385115406030