Eagles

GP: 25 | W: 2 | L: 20 | OTL: 3 | P: 7
GF: 67 | GA: 148 | PP%: 8.99% | PK%: 70.59%
DG: Jean-Francois Moquin | Morale : 34 | Moyenne d'Équipe : 63
Prochain matchs #412 vs Reign
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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
1Ryan DonatoX100.005436937073777469566768646665646941650
2Tomas NosekX100.007137886485738163656162746273683756650
3Riley BarberX100.005841766572928964676165596569656056640
4Otto Koivula (R)X100.007537896290938961645958635961636456640
5Max Jones (R)X100.007340796387806562586162665961638158630
6Hudson FaschingX100.006936925984928958635655625866645656620
7Michael McCarronX100.008342746098807459676056645867647941620
8Victor Olofsson (R)X100.005235936569897164606365596267645552620
9Boo NievesX100.006236896385716461766258645969666450610
10Marcus PetterssonX100.007863706379829562307554734965637562680
11MacKenzie WeegarX100.008465706274827762307058695369674756660
12Caleb JonesX100.006337886476886763307157655163626156640
13Brett LernoutX100.007437875589949553305251594867645952630
14Thomas SchemitschX100.007137875886918657305653594865636252630
15Dan RenoufX100.006843715681949554305751564569656052620
16Jacob LarssonX100.005837895780816756306053685163628056620
17Josh MahuraX100.005636926573816463307056625861637456620
18Sean Day (R)X100.007535935588878154305552584561636452620
Rayé
1Miikka SalomakiX100.008537815973675958536057635670666829600
2Mark McNeillX100.007038865783918656625753585571667925600
3Ryan FitzgeraldX100.005237895964928858656153585669656125600
4Brendan GaunceX100.006337896184766959636158605669667729600
5Eeli Tolvanen (R)XX100.005336926369837262545861596360628129600
6Lukas Vejdemo (R)X100.006436915780939056595554575565636229600
7Nick MoutreyX100.007437895588898353545251575367646125590
8Nicolas RoyX100.006336915987777158655656605463626325590
9Zach NastasiukX100.006635935581857954555352565367646125580
10Givani Smith (R)X100.006842755481928953555254565361636225580
11Garret RossX100.005845665971787258545255565473675825570
12Petrus Palmu (R)X100.005635885651737054525351585662596625550
13Patrick SieloffX100.006542755877918756305351544569657125610
14Ryan Lindgren (R)X100.006239815875857057305553594561637325600
15Louie BelpedioX100.005536905972847158305554574665636425590
16Vili SaarijarviX100.005636915858939157305451535063626325590
MOYENNE D'ÉQUIPE100.00663985607885795949595661546664654061
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
1Mackenzie Blackwood100.00798482917877797877797865697656760
2Sam Montembeault100.00799088857877797877797865696852760
Rayé
1Thatcher Demko100.00777876857675777675777667717829740
2Eric Comrie100.00796967727877797877797867716925730
3Adam Huska (R)100.00676664896665676665676663675325660
MOYENNE D'ÉQUIPE100.0076777584757476757476756569693773
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller78777573807469CAN5322,675,000$


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
1Ryan DonatoEagles (Col)C2516824-73155048106346515.09%2536114.4401118000030048.39%3100011.3300001111
2Michael McCarronEagles (Col)C256511-723547286312349.52%202279.0800000000000058.82%1700000.9700001010
3Boo NievesEagles (Col)C32020404270328.57%24214.0600000000000062.75%5100000.9500000000
4Marcus PetterssonEagles (Col)D3000-220830000.00%4237.790000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne56241337-166010109811764610213.64%5165311.6701118000030057.58%9900011.1300002121
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam HuskaEagles (Col)G221997-05-12Yes227 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Boo NievesEagles (Col)C251994-01-23No210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Brendan GaunceEagles (Col)C251994-03-25No217 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Brett LernoutEagles (Col)D231995-09-24No214 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Caleb JonesEagles (Col)D221997-06-06No194 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Dan RenoufEagles (Col)D251994-06-01No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Eeli TolvanenEagles (Col)LW/RW201999-04-22Yes191 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Eric ComrieEagles (Col)G231995-07-06No175 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Garret RossEagles (Col)LW271992-05-26No176 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Givani SmithEagles (Col)LW211998-02-27Yes204 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Hudson FaschingEagles (Col)RW231995-07-28No204 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Jacob LarssonEagles (Col)D221997-04-29No197 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$NoLien
Josh MahuraEagles (Col)D211998-05-05No192 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Louie BelpedioEagles (Col)D231996-05-14No196 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Lukas VejdemoEagles (Col)C231996-01-25Yes196 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$0$0$NoLien
MacKenzie WeegarEagles (Col)D251994-01-07No200 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Mackenzie BlackwoodEagles (Col)G221996-12-09No225 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$NoLien
Marcus PetterssonEagles (Col)D231996-05-08No177 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Mark McNeillEagles (Col)C261993-02-22No214 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Max JonesEagles (Col)LW211998-02-17Yes220 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Michael McCarronEagles (Col)C241995-07-04No230 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Miikka SalomakiEagles (Col)RW261993-03-09No203 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Nick MoutreyEagles (Col)RW241995-06-24No222 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Nicolas RoyEagles (Col)C221997-02-05No205 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Otto KoivulaEagles (Col)LW201998-09-01Yes219 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Patrick SieloffEagles (Col)D251994-05-15No205 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Petrus PalmuEagles (Col)RW211997-07-16Yes172 Lbs5 ft6NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Riley BarberEagles (Col)RW251994-02-07No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Ryan DonatoEagles (Col)C231996-04-09No193 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Ryan FitzgeraldEagles (Col)LW241994-10-19No172 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Ryan LindgrenEagles (Col)D211998-02-11Yes201 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Sam MontembeaultEagles (Col)G221996-10-30No208 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm0$0$NoLien
Sean DayEagles (Col)D211998-01-09Yes225 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Thatcher DemkoEagles (Col)G231995-12-08No192 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm900,000$0$0$NoLien
Thomas SchemitschEagles (Col)D221996-10-26No200 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$NoLien
Tomas NosekEagles (Col)LW261992-09-01No210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm888,888$0$0$NoLien
Victor OlofssonEagles (Col)LW231995-07-18Yes181 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Vili SaarijarviEagles (Col)D221997-05-15No182 Lbs5 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Zach NastasiukEagles (Col)RW241995-03-30No202 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3923.08201 Lbs6 ft12.59515,100$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Ryan Donato30122
3Michael McCarron20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Ryan Donato40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Ryan Donato40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Ryan Donato40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , Ryan Donato,
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
1Barracuda30300000423-1920200000315-121010000018-700.000461000281722054261217239212841264810110.00%12375.00%021162633.71%29887034.25%14244032.27%413278814181278116
2Condors20100100611-50000000000020100100611-510.25061218002817220492612172392123222540400.00%9277.78%021162633.71%29887034.25%14244032.27%413278814181278116
3Gulls404000001729-1220200000513-8202000001216-400.000173350002817220161261217239219645278615320.00%11372.73%021162633.71%29887034.25%14244032.27%413278814181278116
4Heat20100100711-420100100711-40000000000010.250713200028172206526121723921193817306233.33%7271.43%021162633.71%29887034.25%14244032.27%413278814181278116
5Rampage20200000415-110000000000020200000415-1100.000459002817220402612172392731712251000.00%5260.00%021162633.71%29887034.25%14244032.27%413278814181278116
6Reign2200000011742200000011740000000000041.000112233002817220136261217239284161260700.00%6183.33%021162633.71%29887034.25%14244032.27%413278814181278116
7Roadrunners404000001121-102020000079-220200000412-800.0001121320028172209226121723921805671521516.67%24675.00%121162633.71%29887034.25%14244032.27%413278814181278116
Total252200030067148-8114210002003875-3711010001002973-4470.14067125192002817220719261217239211633052504448988.99%1023070.59%121162633.71%29887034.25%14244032.27%413278814181278116
9Wild40300100623-1720100100412-820200000211-910.125611170028172208726121723921843838661417.14%19763.16%021162633.71%29887034.25%14244032.27%413278814181278116
10Wolves2020000018-72020000018-70000000000000.00012300281722035261217239276322237800.00%9455.56%021162633.71%29887034.25%14244032.27%413278814181278116
_Since Last GM Reset252200030067148-8114210002003875-3711010001002973-4470.14067125192002817220719261217239211633052504448988.99%1023070.59%121162633.71%29887034.25%14244032.27%413278814181278116
_Vs Conference1209003002468-44604002001231-19605001001237-2530.12524436700281722027626121723925751471141984237.14%491765.31%021162633.71%29887034.25%14244032.27%413278814181278116
_Vs Division601001001038-2820100100412-840000000626-2010.08310162600281722012726121723922575550912414.17%24962.50%021162633.71%29887034.25%14244032.27%413278814181278116

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
257L567125192719116330525044400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
25220030067148
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1421002003875
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1101001002973
Derniers 10 Matchs
WLOTWOTL SOWSOL
090100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
8988.99%1023070.59%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
26121723922817220
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
21162633.71%29887034.25%14244032.27%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
413278814181278116


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
3 - 2019-09-047Wolves3Eagles0LSommaire du Match
4 - 2019-09-0521Wolves5Eagles1LSommaire du Match
10 - 2019-09-1140Eagles1Rampage7LSommaire du Match
11 - 2019-09-1254Eagles3Rampage8LSommaire du Match
17 - 2019-09-1879Reign4Eagles6WSommaire du Match
18 - 2019-09-1993Reign3Eagles5WSommaire du Match
24 - 2019-09-25114Eagles1Wild4LSommaire du Match
25 - 2019-09-26128Eagles1Wild7LSommaire du Match
31 - 2019-10-02150Roadrunners5Eagles4LSommaire du Match
32 - 2019-10-03165Roadrunners4Eagles3LSommaire du Match
38 - 2019-10-09190Eagles6Gulls7LSommaire du Match
39 - 2019-10-10204Eagles6Gulls9LSommaire du Match
42 - 2019-10-13213Heat6Eagles5LXSommaire du Match
43 - 2019-10-14222Heat5Eagles2LSommaire du Match
46 - 2019-10-17248Eagles4Condors5LXSommaire du Match
47 - 2019-10-18252Eagles1Barracuda8LSommaire du Match
49 - 2019-10-20256Eagles2Condors6LSommaire du Match
52 - 2019-10-23274Barracuda7Eagles3LSommaire du Match
53 - 2019-10-24288Barracuda8Eagles0LSommaire du Match
59 - 2019-10-30315Wild5Eagles4LXSommaire du Match
60 - 2019-10-31330Wild7Eagles0LSommaire du Match
66 - 2019-11-06360Gulls7Eagles3LSommaire du Match
67 - 2019-11-07375Gulls6Eagles2LSommaire du Match
70 - 2019-11-10382Eagles3Roadrunners5LSommaire du Match
71 - 2019-11-11389Eagles1Roadrunners7LSommaire du Match
74 - 2019-11-14412Eagles-Reign-
80 - 2019-11-20446Condors-Eagles-
81 - 2019-11-21463Condors-Eagles-
86 - 2019-11-26470Eagles-Barracuda-
89 - 2019-11-29500Eagles-Moose-
90 - 2019-11-30506Eagles-Moose-
94 - 2019-12-04528Eagles-Condors-
95 - 2019-12-05543Eagles-Heat-
101 - 2019-12-11572Condors-Eagles-
102 - 2019-12-12587Condors-Eagles-
108 - 2019-12-18613Roadrunners-Eagles-
109 - 2019-12-19629Roadrunners-Eagles-
111 - 2019-12-21640Eagles-Heat-
113 - 2019-12-23652Eagles-Condors-
115 - 2019-12-25667Eagles-Reign-
116 - 2019-12-26681Eagles-Reign-
122 - 2020-01-01693Eagles-Roadrunners-
123 - 2020-01-02709Eagles-Roadrunners-
129 - 2020-01-08731Heat-Eagles-
130 - 2020-01-09746Heat-Eagles-
133 - 2020-01-12760Gulls-Eagles-
134 - 2020-01-13767Gulls-Eagles-
137 - 2020-01-16791Eagles-Heat-
138 - 2020-01-17803Eagles-Heat-
144 - 2020-01-23837Eagles-Reign-
147 - 2020-01-26848Rampage-Eagles-
148 - 2020-01-27854Rampage-Eagles-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-30880Roadrunners-Eagles-
152 - 2020-01-31886Roadrunners-Eagles-
157 - 2020-02-05908Eagles-Gulls-
158 - 2020-02-06922Eagles-Gulls-
161 - 2020-02-09933Reign-Eagles-
162 - 2020-02-10941Reign-Eagles-
165 - 2020-02-13954Eagles-Barracuda-
166 - 2020-02-14971Eagles-Barracuda-
171 - 2020-02-19991Moose-Eagles-
172 - 2020-02-201005Moose-Eagles-
178 - 2020-02-261038Eagles-Roadrunners-
179 - 2020-02-271053Eagles-Roadrunners-
186 - 2020-03-051095Eagles-Wolves-
187 - 2020-03-061102Eagles-Wolves-
192 - 2020-03-111125Barracuda-Eagles-
193 - 2020-03-121139Barracuda-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
20 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,067,388$ 200,889$ 42,890$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 74,636$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 122 14,824$ 1,808,528$




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
14252200030067148-8114210002003875-3711010001002973-44767125192002817220719261217239211633052504448988.99%1023070.59%121162633.71%29887034.25%14244032.27%413278814181278116
Total Saison Régulière252200030067148-8114210002003875-3711010001002973-44767125192002817220719261217239211633052504448988.99%1023070.59%121162633.71%29887034.25%14244032.27%413278814181278116