Eagles

GP: 48 | W: 43 | L: 4 | OTL: 1 | P: 87
GF: 200 | GA: 71 | PP%: 21.83% | PK%: 89.77%
DG: Jean-Francois Moquin | Morale : 99 | Moyenne d'Équipe : 59
Prochain matchs #803 vs Heat
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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
1Tomas NosekXXX100.00825579798182717874656878558076193710
2Miikka SalomakiXXX100.00865569777176726961656381557373192680
3Ryan Donato (R)X100.00705571776864657564666865557271191660
4Boo NievesXXX100.00755578757969716974686262557372193660
5Brendan GaunceX100.00605574717974666670606080557677192660
6Tage ThompsonX100.00775563677873747050646468555050193640
7Michael McCarronX100.00855559728282616380616262555050192630
8Tanner KeroX100.00675575826864696264616160557167193630
9Hudson FaschingX100.00675566807975636250606160555050194620
10Nicolas KerdilesX100.00745573737570686150606060555050192610
11Tanner RichardX100.00605569716662826150606156555050163590
12Brian HartX100.00805561637972545550555555557575121580
13Christian FolinX100.00975581748278718125676478558077191730
14Scott MayfieldX100.00835572748482687825706475557575192720
15MacKenzie WeegarX100.00895578746176777625636287557575194720
16Brett LernoutX100.00805565658074726825616068555353193650
17Marcus Pettersson (R)X100.00705585805674566825626170555555193640
18Louie Belpedio (R)X100.00625568806178546525656060555555163620
19Patrick SieloffX100.00615568667770636125606260555353193600
Rayé
1Jeremy GregoireX100.00595559647164695550555557555050119560
2Garret RossX100.00555559696561655550555555557250119560
3Justin KeaX100.00735559598075545550555555555050119560
4Austin CarrollX100.00565555555859595550555555557472120550
5Chris VandeVeldeX100.00565555555758585550555555557572119540
6Zach Nastasiuk (R)X100.00765568555454645550555555555050119530
7Nick MoutreyX100.00565555555555555550555555555050120520
8Riley BarberX100.00565555555555555550555555555050120520
9Nicolas Roy (R)X100.00565555555555555550555555555050120520
10Mark McNeillX100.00565555555555555550555555555050119520
11Nic KerdilesX100.00565555555555555550555555555050119520
12Philip McRaeX100.00565555555555555550555555555050120520
13Mark FraserX100.00555555605555675525555555556566119550
14Conor AllenX100.00595555605555665525555555555353119540
15Linus ArnessonX100.00585555605555575525555555555353120540
16Dan Renouf (R)X100.00555555605555655525555555555353119540
17Jacob Larsson (R)X100.00555555605555565525555555555757120540
18Petteri LindbohmX100.00555555605555645525555555555353120540
19Thomas Schemitsch (R)X100.00555555605555585525555555555353119530
20Scott Czarnowczan (R)X100.00555555605555555525555555555353120530
21Zach FryeX100.00575555605555545525555555555555119530
22Caleb Jones (R)X100.00555555605555565525555555555555120530
23Ryan Fitzgerald (R)X100.00555555605555555525555555555555119530
24Vili Saarjarvi (R)X100.00555555605555535525555555555555120530
MOYENNE D'ÉQUIPE100.0065556365656462614258586155595814959
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
1Thatcher Demko100.0070798780686871687070556866168690
Rayé
1Linus Ullmark100.0072838776686870657068557069119690
2Daniel Altshuller100.0062696580676766646865556063119650
3Eric Comrie100.0064788663666669646965556263119650
4Mac Carruth100.0054686177606059596059555557120590
5Samuel Montembeault (R)100.0055555555555555555555555055120530
MOYENNE D'ÉQUIPE100.006372747264646563656455616212863
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Eric Veilleux76866983735878CAN461100,000$


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
1J.T. CompherColorado AvalancheC/LW/RW413829674153566852074714218.36%1194423.05128203917701161949059.46%7400031.4200001884
2Tomas NosekEagles (Col)C/LW/RW4831336442580661582266415513.72%11122825.58711183720301152417367.69%121000021.0401000953
3Christian FolinEagles (Col)D481346594093151083789266814.61%35111923.3381523602160002212400.00%000001.0500012446
4MacKenzie WeegarEagles (Col)D48103848337925644487197911.49%42101221.0971926632190002224300.00%000000.9500302123
5Tage ThompsonEagles (Col)RW4822244626491511045129279117.05%383417.39861442206000004356.00%5000011.1000003515
6Scott MayfieldEagles (Col)D48636422769585578223697.32%4799920.8231619592011011201210.00%000000.8400100231
7Boo NievesEagles (Col)C/LW/RW48152540253155177116406212.93%483817.475121722206000002065.50%88400000.9500001224
8Ryan DonatoEagles (Col)LW481519342514051621475111010.20%596720.1747113320100031272061.54%5200000.7011000302
9Miikka SalomakiEagles (Col)C/LW/RW48726332049591568322558.43%165913.75317202821700011260064.49%13800001.0001001123
10Marcus PetterssonEagles (Col)D48425293054090323372412.12%2269014.3820231500005100.00%000000.8400000303
11Brendan GaunceEagles (Col)C481692526195205172195922.22%74429.2200000000001170.07%42100001.1300001242
12Brett LernoutEagles (Col)D488162427600711859163913.56%4899420.73369311990001197510.00%000000.4800000032
13Michael McCarronEagles (Col)RW48611172345591287025648.57%452911.0300002000001077.27%2200000.6400100122
14Hudson FaschingEagles (Col)RW483101325501031325517345.45%04419.2000000000000057.69%2600000.5900101010
15Tanner KeroEagles (Col)C482467404152071410.00%31633.42011232000030062.75%5100000.7300000001
16Louie BelpedioEagles (Col)D200661118030127350.00%628314.1900000000036000.00%000000.4200000010
17Dominik SimonColorado AvalancheC622462017182811.11%08714.56000000000140084.21%7600000.9200000000
18Patrick SieloffEagles (Col)D481129001340125.00%91693.5201118000024100.00%000000.2400000000
19Nicolas KerdilesEagles (Col)RW48000000212000.00%0270.5800019000000066.67%900000.0000000000
Stats d'équipe Total ou en Moyenne8351993605594437479510338201506415107913.21%2581243614.8962119181421211712321160942967.04%301300060.90136112413841
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
1Mackenzie BlackwoodColorado Avalanche4742410.9191.422796010668120110.75044747210
Stats d'équipe Total ou en Moyenne4742410.9191.422796010668120110.75044747210


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
Austin CarrollEagles (Col)LW221994-03-26No205 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Boo NievesEagles (Col)C/LW/RW221994-01-23No200 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Brendan GaunceEagles (Col)C221994-03-24No207 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Brett LernoutEagles (Col)D211995-09-24No206 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Brian HartEagles (Col)RW231993-11-25No203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Caleb JonesEagles (Col)D191997-06-06Yes194 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Chris VandeVeldeEagles (Col)C291987-03-15No190 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Christian FolinEagles (Col)D251991-02-09No214 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Conor AllenEagles (Col)D261990-01-31No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Dan RenoufEagles (Col)D221994-05-31Yes205 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Daniel AltshullerEagles (Col)G221994-07-24No205 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Eric ComrieEagles (Col)G211995-07-06No167 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Garret RossEagles (Col)LW241992-05-26No173 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Hudson FaschingEagles (Col)RW211995-07-28No216 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Jacob LarssonEagles (Col)D191997-04-29Yes192 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No
Jeremy GregoireEagles (Col)C211995-09-04No187 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Justin KeaEagles (Col)C221994-02-07No210 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Linus ArnessonEagles (Col)D221994-09-21No188 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Linus UllmarkEagles (Col)G231993-07-31No220 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Louie BelpedioEagles (Col)D201996-05-14Yes194 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Mac CarruthEagles (Col)G241992-03-25No190 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
MacKenzie WeegarEagles (Col)D231994-01-07No183 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Marcus PetterssonEagles (Col)D201996-05-08Yes183 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Mark FraserEagles (Col)D301986-09-28No220 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No
Mark McNeillEagles (Col)C231993-02-21No214 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$0$0$No
Michael McCarronEagles (Col)RW211995-03-07No237 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No
Miikka SalomakiEagles (Col)C/LW/RW231993-03-08No198 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm990,000$0$0$No
Nic KerdilesEagles (Col)LW221994-10-01No191 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Nick MoutreyEagles (Col)RW211995-06-24No208 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Nicolas KerdilesEagles (Col)RW231994-01-11No191 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Nicolas RoyEagles (Col)C191997-02-05Yes207 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Patrick SieloffEagles (Col)D221994-05-14No205 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Petteri LindbohmEagles (Col)D231993-09-22No198 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Philip McRaeEagles (Col)C261990-03-14No200 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Riley BarberEagles (Col)RW221994-02-07No194 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Ryan DonatoEagles (Col)LW201996-04-09Yes181 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Ryan FitzgeraldEagles (Col)D221994-10-19Yes172 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Samuel MontembeaultEagles (Col)G201996-10-30Yes192 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Scott CzarnowczanEagles (Col)D251991-05-29Yes176 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Scott MayfieldEagles (Col)D241992-10-13No218 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Tage ThompsonEagles (Col)RW191997-10-30No201 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Tanner KeroEagles (Col)C241992-07-24No185 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Tanner RichardEagles (Col)C231993-04-05No176 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Thatcher DemkoEagles (Col)G211995-12-08No192 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No
Thomas SchemitschEagles (Col)D201996-10-25Yes206 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Tomas NosekEagles (Col)C/LW/RW241992-08-31No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Vili SaarjarviEagles (Col)D191997-05-15Yes183 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Zach FryeEagles (Col)D221994-03-25No201 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Zach NastasiukEagles (Col)RW211995-03-30Yes190 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
4922.29198 Lbs6 ft22.41446,735$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tomas NosekMiikka Salomaki40122
2Ryan DonatoBoo NievesTage Thompson30122
3Tomas NosekMichael McCarron20122
4Brendan GaunceHudson Fasching10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian FolinMacKenzie Weegar40122
2Scott MayfieldBrett Lernout30122
3Marcus Pettersson20122
4Patrick SieloffChristian Folin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tomas NosekMiikka Salomaki60122
2Ryan DonatoBoo NievesTage Thompson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian FolinMacKenzie Weegar60122
2Scott MayfieldBrett Lernout40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tomas Nosek60122
2Miikka SalomakiRyan Donato40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian FolinMacKenzie Weegar60122
2Scott MayfieldBrett Lernout40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tomas Nosek60122Christian FolinMacKenzie Weegar60122
240122Scott MayfieldBrett Lernout40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tomas Nosek60122
2Miikka SalomakiRyan Donato40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christian FolinMacKenzie Weegar60122
2Scott MayfieldBrett Lernout40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tomas NosekMiikka SalomakiChristian FolinMacKenzie Weegar
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tomas NosekMiikka SalomakiChristian FolinMacKenzie Weegar
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tanner Kero, Nicolas Kerdiles, Tanner Kero, Nicolas Kerdiles
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Marcus Pettersson, , Patrick SieloffMarcus Pettersson, Patrick Sieloff
Tirs de Pénalité
Tomas Nosek, , Miikka Salomaki, Ryan Donato, Boo Nieves
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
1Barracuda440000001587220000006332200000095481.0001528430062716449047951151578929857724312.50%39684.62%0990158162.62%748121061.82%42468761.72%14901123859294540302
2Condors8610100023101342101000835440000001578140.87523426501627164422647951151571335215117852917.31%50492.00%0990158162.62%748121061.82%42468761.72%14901123859294540302
3Gulls64100100161064310000014862100010022090.7501629450262716441544795115157973811911348816.67%37489.19%0990158162.62%748121061.82%42468761.72%14901123859294540302
4Heat770000003212204400000018513330000001477141.00032599101627164420947951151571463181158391025.64%36780.56%0990158162.62%748121061.82%42468761.72%14901123859294540302
5Moose220000001001000000000000220000001001041.00010203002627164486479511515726621478562.50%70100.00%0990158162.62%748121061.82%42468761.72%14901123859294540302
6Rampage220000001441000000000000220000001441041.000142741006271644724795115157361135437342.86%15286.67%0990158162.62%748121061.82%42468761.72%14901123859294540302
7Reign55000000347272200000011473300000023320101.000346195006271644220479511515762193210919421.05%140100.00%0990158162.62%748121061.82%42468761.72%14901123859294540302
8Roadrunners85101010261412431000001275420010101477140.875264571106271644232479511515713848136168481020.83%63690.48%0990158162.62%748121061.82%42468761.72%14901123859294540302
Total484040211020071129242030100094326224201011101063967870.90620036456411062716441508479511515784126375110342846221.83%3033189.77%1990158162.62%748121061.82%42468761.72%14901123859294540302
10Wild431000001961322000000142122110000054160.750193251026271644126479511515785216892331030.30%34294.12%1990158162.62%748121061.82%42468761.72%14901123859294540302
11Wolves220000001101122000000110110000000000041.0001121320262716449347951151572982349600.00%80100.00%0990158162.62%748121061.82%42468761.72%14901123859294540302
_Since Last GM Reset484040211020071129242030100094326224201011101063967870.90620036456411062716441508479511515784126375110342846221.83%3033189.77%1990158162.62%748121061.82%42468761.72%14901123859294540302
_Vs Conference232020100099326712101010005110411110100000482226420.9139918128006627164472647951151574291233585201373223.36%1431589.51%1990158162.62%748121061.82%42468761.72%14901123859294540302
_Vs Division8700000043103324000000142126300000029821140.8754379122046271644284479511515714738124182481837.50%56492.86%1990158162.62%748121061.82%42468761.72%14901123859294540302

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4887W520036456415088412637511034110
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
48404211020071
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2420310009432
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
24201111010639
Derniers 10 Matchs
WLOTWOTL SOWSOL
801010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2846221.83%3033189.77%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
47951151576271644
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
990158162.62%748121061.82%42468761.72%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
14901123859294540302


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 - 2018-09-077Wolves0Eagles6WSommaire du Match
4 - 2018-09-0821Wolves0Eagles5WSommaire du Match
10 - 2018-09-1440Eagles6Rampage2WSommaire du Match
11 - 2018-09-1554Eagles8Rampage2WSommaire du Match
17 - 2018-09-2179Reign2Eagles4WSommaire du Match
18 - 2018-09-2293Reign2Eagles7WSommaire du Match
24 - 2018-09-28114Eagles2Wild4LSommaire du Match
25 - 2018-09-29128Eagles3Wild0WSommaire du Match
31 - 2018-10-05150Roadrunners3Eagles1LSommaire du Match
32 - 2018-10-06165Roadrunners2Eagles5WSommaire du Match
38 - 2018-10-12190Eagles1Gulls0WSommaire du Match
39 - 2018-10-13204Eagles1Gulls2LXSommaire du Match
42 - 2018-10-16213Heat1Eagles5WSommaire du Match
43 - 2018-10-17222Heat2Eagles3WSommaire du Match
46 - 2018-10-20248Eagles5Condors1WSommaire du Match
47 - 2018-10-21252Eagles5Barracuda2WSommaire du Match
49 - 2018-10-23256Eagles4Condors3WSommaire du Match
52 - 2018-10-26274Barracuda2Eagles3WSommaire du Match
53 - 2018-10-27288Barracuda1Eagles3WSommaire du Match
59 - 2018-11-02315Wild0Eagles7WSommaire du Match
60 - 2018-11-03330Wild2Eagles7WSommaire du Match
66 - 2018-11-09360Gulls4Eagles3LSommaire du Match
67 - 2018-11-10375Gulls2Eagles4WSommaire du Match
70 - 2018-11-13382Eagles5Roadrunners1WSommaire du Match
71 - 2018-11-14389Eagles2Roadrunners1WSommaire du Match
74 - 2018-11-17412Eagles6Reign1WSommaire du Match
80 - 2018-11-23446Condors0Eagles4WSommaire du Match
81 - 2018-11-24463Condors1Eagles2WXSommaire du Match
86 - 2018-11-29470Eagles4Barracuda3WSommaire du Match
89 - 2018-12-02500Eagles5Moose0WSommaire du Match
90 - 2018-12-03506Eagles5Moose0WSommaire du Match
94 - 2018-12-07528Eagles2Condors1WSommaire du Match
95 - 2018-12-08543Eagles3Heat1WSommaire du Match
101 - 2018-12-14572Condors1Eagles2WSommaire du Match
102 - 2018-12-15587Condors1Eagles0LSommaire du Match
108 - 2018-12-21613Roadrunners1Eagles3WSommaire du Match
109 - 2018-12-22629Roadrunners1Eagles3WSommaire du Match
111 - 2018-12-24640Eagles4Heat2WSommaire du Match
113 - 2018-12-26652Eagles4Condors2WSommaire du Match
115 - 2018-12-28667Eagles9Reign1WSommaire du Match
116 - 2018-12-29681Eagles8Reign1WSommaire du Match
122 - 2019-01-04693Eagles3Roadrunners2WXXSommaire du Match
123 - 2019-01-05709Eagles4Roadrunners3WXSommaire du Match
129 - 2019-01-11731Heat0Eagles4WSommaire du Match
130 - 2019-01-12746Heat2Eagles6WSommaire du Match
133 - 2019-01-15760Gulls0Eagles3WSommaire du Match
134 - 2019-01-16767Gulls2Eagles4WSommaire du Match
137 - 2019-01-19791Eagles7Heat4WSommaire du Match
138 - 2019-01-20803Eagles-Heat-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2019-01-26837Eagles-Reign-
147 - 2019-01-29848Rampage-Eagles-
148 - 2019-01-30854Rampage-Eagles-
151 - 2019-02-02880Roadrunners-Eagles-
152 - 2019-02-03886Roadrunners-Eagles-
157 - 2019-02-08908Eagles-Gulls-
158 - 2019-02-09922Eagles-Gulls-
161 - 2019-02-12933Reign-Eagles-
162 - 2019-02-13941Reign-Eagles-
165 - 2019-02-16954Eagles-Barracuda-
166 - 2019-02-17971Eagles-Barracuda-
171 - 2019-02-22991Moose-Eagles-
172 - 2019-02-231005Moose-Eagles-
178 - 2019-03-011038Eagles-Roadrunners-
179 - 2019-03-021053Eagles-Roadrunners-
186 - 2019-03-091095Eagles-Wolves-
187 - 2019-03-101102Eagles-Wolves-
192 - 2019-03-151125Barracuda-Eagles-
193 - 2019-03-161139Barracuda-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
10 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
234,746$ 218,900$ 144,580$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 164,161$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 1,644$ 93,708$




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
134840402110200711292420301000943262242010111010639678720036456411062716441508479511515784126375110342846221.83%3033189.77%1990158162.62%748121061.82%42468761.72%14901123859294540302
Total Saison Régulière4840402110200711292420301000943262242010111010639678720036456411062716441508479511515784126375110342846221.83%3033189.77%1990158162.62%748121061.82%42468761.72%14901123859294540302