COLORADO Eagles

GP: 73 | W: 55 | L: 16 | OTL: 2 | P: 112
GF: 361 | GA: 107 | PP%: 19.27% | PK%: 89.70%
DG: Pat Taillon | Morale : 97 | Moyenne d'Équipe : 60
Prochain matchs #953 vs BROOKLYN Wolfpack
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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
1Teemu Pulkkinen0XX100.005744686063729264506364606453525889640
2Denis Gurianov0X100.005735736979576068566665536651508589630
3Tyler Graovac0X100.006289647091505070706565506552514789620
4Phillip Di Giuseppe0X100.006535716573626265606058566056527289620
5Tomas Jurco (A)0X100.005289687078505070506464506458526589610
6Riley Barber0X100.005089537072505070506868516850504787600
7Emil Pettersson0X100.005089667073505070705757515750504289580
8Cameron Hebig (R)0X100.005089666758505067505757525750504489560
9Calvin Thurkauf0X100.005889675383505053705353505350504486550
10Matt Benning0X100.007441756678768365306363736958534789690
11Brad Hunt0X100.006035806767765566306368657255513489640
12Luke Schenn0X100.007956726485616364305349646079597089640
13Caleb Jones0X100.005535726976585869305449606051506089590
14Jordan Schmaltz0X100.005335726078576060305146585752517789570
15Adam Clendening0X100.005035536874525268305045585654516589560
16Ludwig Bystrom0X100.005089706771485067304742525250507189540
Rayé
1Vili Saarijarvi0X100.005089685958505059304641555150504426520
MOYENNE D'ÉQUIPE100.00576368667457586645585656615451578560
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
1Dan Vladar100.00746481867373747373736850624484650
2Filip Gustavsson (R)100.00716485777070717070706650614489620
Rayé
MOYENNE D'ÉQUIPE100.0073648382727273727272675062448764
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill74757580757580USA463151,000$


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'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Vladimir SobotkaCOLORADO AvalancheC/LW55484896806401271443499925713.75%10133724.3246103312221391909166.72%131900151.44010008107
2Matt BenningCOLORADO Eagles (COL)D7328669497720160892187215312.84%75178024.39459621600225233710.00%000101.0600000793
3Brad HuntCOLORADO Eagles (COL)D733251837338074651806210917.78%72144919.8611920551501231124551100.00%100011.1500000654
4Teemu PulkkinenCOLORADO Eagles (COL)LW/RW73245781982957067282722058.51%6171123.452462715211272624161.94%31000000.9502001275
5Tyler GraovacCOLORADO Eagles (COL)C73284674844951151072636016910.65%3123616.9311011211380002403066.01%131200001.2000100524
6Denis GurianovCOLORADO Eagles (COL)RW733539747818053632367517914.83%8130217.844592515011271957258.02%26200011.1402000533
7Riley BarberCOLORADO Eagles (COL)RW73264268696557958280712179.29%5108914.92033220000012061.84%7600001.2500100154
8Emil PetterssonCOLORADO Eagles (COL)C733236686222054932128114915.09%10113915.600229400002356068.09%110300011.1900000216
9Tomas JurcoCOLORADO Eagles (COL)RW7329376674241047612447519911.89%2120116.4614516129000003260.00%8000031.1000011513
10Caleb JonesCOLORADO Eagles (COL)D738586673320564510429837.69%50141919.452810401310220210100.00%000000.9300000213
11Phillip Di GiuseppeCOLORADO Eagles (COL)LW7329346386520125592205514613.18%15145419.924482514010181764064.34%14300010.8701000242
12Cameron HebigCOLORADO Eagles (COL)LW73193251603355063196521399.69%8117116.05011480112712051.49%10100010.8700001011
13Adam ClendeningCOLORADO Eagles (COL)D733404383580117367027464.29%49115415.8200026000091000.00%000000.7400000005
14Luke SchennCOLORADO Eagles (COL)D7372532637610156357920528.86%43131818.06246301510220223100.00%000000.4900100002
15Jordan SchmaltzCOLORADO Eagles (COL)D73121227042056205521501.82%39109915.07000111000017000.00%000000.4000000000
16Ludwig BystromCOLORADO Eagles (COL)D733182144801471981315.79%195928.1200005000048000.00%000000.7100000000
17Calvin ThurkaufCOLORADO Eagles (COL)C736121839295353743133913.95%26659.11000020000201069.44%64800000.5400010010
Stats d'équipe Total ou en Moyenne12233586621020123371145138810493050892220511.74%4162112417.27356510035215226121853206455865.94%5355002130.9706323455052
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
1Dan VladarCOLORADO Eagles (COL)72551610.9301.42430942410214600100.66737201013
2Filip GustavssonCOLORADO Eagles (COL)20010.8932.2082003280000.7504172000
Stats d'équipe Total ou en Moyenne74551620.9291.44439142410514880100.714773721013


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 ClendeningCOLORADO Eagles (COL)D261992-10-26No89 Kg183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Brad HuntCOLORADO Eagles (COL)D311988-08-24No85 Kg175 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien
Caleb JonesCOLORADO Eagles (COL)D221997-06-06No88 Kg185 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Calvin ThurkaufCOLORADO Eagles (COL)C221997-06-27No96 Kg188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Cameron HebigCOLORADO Eagles (COL)LW221997-01-21Yes84 Kg155 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Dan VladarCOLORADO Eagles (COL)G221997-08-20No84 Kg196 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Denis GurianovCOLORADO Eagles (COL)RW221997-06-07No89 Kg188 CMNoNoNo4Avec RestrictionPro & Farm1,500,000$0$0$NoLien
Emil PetterssonCOLORADO Eagles (COL)C251994-01-14No75 Kg188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Filip GustavssonCOLORADO Eagles (COL)G211998-06-07Yes84 Kg188 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Jordan SchmaltzCOLORADO Eagles (COL)D251993-10-08No86 Kg188 CMNoNoNo4Avec RestrictionPro & Farm900,000$0$0$NoLien
Ludwig BystromCOLORADO Eagles (COL)D251994-07-20No77 Kg185 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Luke SchennCOLORADO Eagles (COL)D291989-11-02No100 Kg188 CMNoNoNo4Sans RestrictionPro & Farm1,250,000$0$0$NoLien
Matt BenningCOLORADO Eagles (COL)D251994-05-25No92 Kg185 CMNoNoNo6Avec RestrictionPro & Farm2,000,000$0$0$NoLien
Phillip Di GiuseppeCOLORADO Eagles (COL)LW251993-10-09No87 Kg183 CMNoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien
Riley BarberCOLORADO Eagles (COL)RW251994-02-07No86 Kg183 CMNoNoNo4Avec RestrictionPro & Farm800,000$0$0$NoLien
Teemu PulkkinenCOLORADO Eagles (COL)LW/RW271992-01-02No84 Kg178 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Tomas JurcoCOLORADO Eagles (COL)RW261992-12-28No85 Kg188 CMNoNoNo4Avec RestrictionPro & Farm800,000$0$0$NoLien
Tyler GraovacCOLORADO Eagles (COL)C261993-04-27No95 Kg196 CMNoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien
Vili SaarijarviCOLORADO Eagles (COL)D221997-05-15No83 Kg155 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1924.6387 Kg183 CM3.11894,737$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Teemu PulkkinenTyler GraovacDenis Gurianov31122
2Phillip Di GiuseppeEmil PetterssonTomas Jurco26122
3Cameron HebigCalvin ThurkaufRiley Barber23122
4Denis GurianovTeemu PulkkinenPhillip Di Giuseppe20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BenningBrad Hunt31122
2Luke SchennCaleb Jones26122
3Jordan SchmaltzAdam Clendening23122
4Ludwig BystromMatt Benning20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Teemu PulkkinenTyler GraovacDenis Gurianov55122
2Phillip Di GiuseppeEmil PetterssonTomas Jurco45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BenningBrad Hunt55122
2Luke SchennCaleb Jones45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Teemu PulkkinenDenis Gurianov55122
2Phillip Di GiuseppeTyler Graovac45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BenningBrad Hunt55122
2Luke SchennCaleb Jones45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Teemu Pulkkinen55122Matt BenningBrad Hunt55122
2Denis Gurianov45122Luke SchennCaleb Jones45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Teemu PulkkinenDenis Gurianov55122
2Phillip Di GiuseppeTyler Graovac45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BenningBrad Hunt55122
2Luke SchennCaleb Jones45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Teemu PulkkinenTyler GraovacDenis GurianovMatt BenningBrad Hunt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Teemu PulkkinenTyler GraovacDenis GurianovMatt BenningBrad Hunt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Riley Barber, Cameron Hebig, Calvin ThurkaufRiley Barber, Cameron HebigCalvin Thurkauf
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Schmaltz, Adam Clendening, Ludwig BystromJordan SchmaltzAdam Clendening, Ludwig Bystrom
Tirs de Pénalité
Teemu Pulkkinen, Denis Gurianov, Phillip Di Giuseppe, Tyler Graovac, Tomas Jurco
Gardien
#1 : Dan Vladar, #2 : Filip Gustavsson
Lignes d'Attaque Perso. en Prol.
Teemu Pulkkinen, Denis Gurianov, Phillip Di Giuseppe, Tyler Graovac, Tomas Jurco, Riley Barber, Riley Barber, Emil Pettersson, Cameron Hebig, Calvin Thurkauf,
Lignes de Défense Perso. en Prol.
Matt Benning, Brad Hunt, Luke Schenn, Caleb Jones, Jordan Schmaltz


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
1BELLEVILLE Senators2200000014410110000009271100000052341.0001426400017410282312510181064987163982252100.00%10280.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
2BRIDGEPORT Sound Tigers42100001880210000015412110000034-150.625816240117410282395101810649871610234348524520.83%16193.75%01700246269.05%1110185959.71%774112668.74%230017781278418816457
3BROOKLYN Wolfpack33000000351341100000012012220000002312261.0003566101021741028232381018106498716931049000.00%50100.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
4CHICAGO Wolves440000001459220000005232200000093681.0001425390117410282311910181064987168921437514321.43%170100.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
5CLEVELAND Monsters330000002612511000000918220000001701761.0002650760217410282317310181064987161741440300.00%60100.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
6CORNWALL Aces22000000220221100000010010110000001201241.00022396102174102823171101810649871610116192150.00%70100.00%11700246269.05%1110185959.71%774112668.74%230017781278418816457
7HERSEY Bears42200000981211000004312110000055040.50091726001741028231111018106498716100355072500.00%23291.30%21700246269.05%1110185959.71%774112668.74%230017781278418816457
8HOLLYWOOD Oscar33000000300301100000010010220000002002061.00030568603174102823207101810649871694849100.00%40100.00%11700246269.05%1110185959.71%774112668.74%230017781278418816457
9IOWA Wild220000001401411000000404110000001001041.000142842021741028238410181064987163591253100.00%50100.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
10LAVAL Rockets440000001587220000007342200000085381.00015274201174102823123101810649871610836416820630.00%15193.33%01700246269.05%1110185959.71%774112668.74%230017781278418816457
11LEHIGH VALLEY Phantoms22000000817110000006061100000021141.00081523011741028235510181064987164714162410110.00%70100.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
12MANITOBA Moose22000000523110000003121100000021141.000571200174102823521018106498716501620448112.50%10280.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
13MILWAUKEE Admirals41300000810-22020000025-32110000065120.250814220017410282396101810649871610229307614214.29%14192.86%01700246269.05%1110185959.71%774112668.74%230017781278418816457
14MONT-LAURIER Sommet21100000651110000003121010000034-120.5006111700174102823811018106498716421014406116.67%7185.71%01700246269.05%1110185959.71%774112668.74%230017781278418816457
15PROVIDENCE Bruins421010002061421100000550210010001511460.7502039590117410282316610181064987161002758727114.29%27485.19%01700246269.05%1110185959.71%774112668.74%230017781278418816457
16PV Sharapovas2110000067-11010000035-21100000032120.5006101600174102823341018106498716602024564250.00%11281.82%01700246269.05%1110185959.71%774112668.74%230017781278418816457
17ROCKFORD IceHogs4130000049-52020000026-42110000023-120.250461000174102823105101810649871612036112752528.00%33584.85%01700246269.05%1110185959.71%774112668.74%230017781278418816457
18SAN DIEGO Gulls330000001801811000000808220000001001061.00018325003174102823277101810649871691844000.00%30100.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
19STOCKTON Flames211000007611010000023-11100000053220.5007121900174102823491018106498716581753409111.11%16287.50%01700246269.05%1110185959.71%774112668.74%230017781278418816457
20SYRACUSE Crunch2020000016-51010000013-21010000003-300.00012300174102823401018106498716771524442150.00%10190.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
21TORONTO Marlies2200000013310110000005141100000082641.0001323360017410282391101810649871636514484250.00%70100.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
22TUSCON Roadrunners54000001394353200000120218220000001921790.90039721110317410282328910181064987166316381028562.50%19194.74%21700246269.05%1110185959.71%774112668.74%230017781278418816457
Total7352160300236110725436231001002160561043729602000201511501120.767361663102402417410282330781018106498716148841972114041923719.27%3013189.70%61700246269.05%1110185959.71%774112668.74%230017781278418816457
24UTICA Comets4210100011833110100010821100000010160.75011193001174102823107101810649871612935389719210.53%18572.22%01700246269.05%1110185959.71%774112668.74%230017781278418816457
25VICTORIAVILLE Tigres21001000734110000003031000100043141.0007132001174102823551018106498716631918395120.00%9188.89%01700246269.05%1110185959.71%774112668.74%230017781278418816457
26WILKIES-BARRIE Penguins220000002121911000000121111100000091841.000213859001741028231351018106498716144441000.00%20100.00%01700246269.05%1110185959.71%774112668.74%230017781278418816457
_Since Last GM Reset7352160300236110725436231001002160561043729602000201511501120.767361663102402417410282330781018106498716148841972114041923719.27%3013189.70%61700246269.05%1110185959.71%774112668.74%230017781278418816457
_Vs Conference4631110200220768139231370100289395023184010001182989680.739207383590015174102823189910181064987169482774768551392618.71%1962089.80%41700246269.05%1110185959.71%774112668.74%230017781278418816457
_Vs Division1815700001522923964000011914599300000331518310.861529314504174102823511101810649871645913023536267913.43%88989.77%01700246269.05%1110185959.71%774112668.74%230017781278418816457

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
73112L13616631024307814884197211404024
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7352163002361107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
362310100216056
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
37296200020151
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1923719.27%3013189.70%6
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
1018106498716174102823
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
1700246269.05%1110185959.71%774112668.74%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
230017781278418816457


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
1 - 2019-07-3013ROCKFORD IceHogs3COLORADO Eagles2LR3Sommaire du Match
2 - 2019-07-3122COLORADO Eagles5CHICAGO Wolves1WSommaire du Match
3 - 2019-08-0137LAVAL Rockets3COLORADO Eagles4WSommaire du Match
4 - 2019-08-0245COLORADO Eagles1HERSEY Bears3LSommaire du Match
6 - 2019-08-0462COLORADO Eagles4TUSCON Roadrunners0WSommaire du Match
7 - 2019-08-0567UTICA Comets3COLORADO Eagles4WXSommaire du Match
9 - 2019-08-0789BRIDGEPORT Sound Tigers4COLORADO Eagles3LXXSommaire du Match
10 - 2019-08-08104UTICA Comets2COLORADO Eagles5WSommaire du Match
12 - 2019-08-10116COLORADO Eagles7CLEVELAND Monsters0WSommaire du Match
13 - 2019-08-11128COLORADO Eagles0BRIDGEPORT Sound Tigers3LSommaire du Match
14 - 2019-08-12140HERSEY Bears2COLORADO Eagles1LSommaire du Match
16 - 2019-08-14155COLORADO Eagles13PROVIDENCE Bruins0WSommaire du Match
17 - 2019-08-15162COLORADO Eagles12CORNWALL Aces0WSommaire du Match
18 - 2019-08-16172COLORADO Eagles2ROCKFORD IceHogs1WR3Sommaire du Match
19 - 2019-08-17180TUSCON Roadrunners0COLORADO Eagles7WSommaire du Match
21 - 2019-08-19197BROOKLYN Wolfpack0COLORADO Eagles12WSommaire du Match
22 - 2019-08-20214LEHIGH VALLEY Phantoms0COLORADO Eagles6WSommaire du Match
24 - 2019-08-22231COLORADO Eagles3BRIDGEPORT Sound Tigers1WSommaire du Match
25 - 2019-08-23236COLORADO Eagles10IOWA Wild0WSommaire du Match
26 - 2019-08-24250COLORADO Eagles2MANITOBA Moose1WSommaire du Match
27 - 2019-08-25264LAVAL Rockets0COLORADO Eagles3WSommaire du Match
28 - 2019-08-26276PROVIDENCE Bruins3COLORADO Eagles2LSommaire du Match
29 - 2019-08-27292ROCKFORD IceHogs3COLORADO Eagles0LR3Sommaire du Match
30 - 2019-08-28305COLORADO Eagles4LAVAL Rockets3WSommaire du Match
31 - 2019-08-29316BRIDGEPORT Sound Tigers0COLORADO Eagles2WSommaire du Match
32 - 2019-08-30330COLORADO Eagles5STOCKTON Flames3WR3Sommaire du Match
33 - 2019-08-31340COLORADO Eagles3PV Sharapovas2WSommaire du Match
35 - 2019-09-02358BELLEVILLE Senators2COLORADO Eagles9WSommaire du Match
36 - 2019-09-03369MANITOBA Moose1COLORADO Eagles3WSommaire du Match
37 - 2019-09-04382COLORADO Eagles2PROVIDENCE Bruins1WXSommaire du Match
39 - 2019-09-06395TUSCON Roadrunners0COLORADO Eagles12WSommaire du Match
40 - 2019-09-07410COLORADO Eagles4HERSEY Bears2WSommaire du Match
42 - 2019-09-09422STOCKTON Flames3COLORADO Eagles2LR3Sommaire du Match
44 - 2019-09-11442COLORADO Eagles1MILWAUKEE Admirals2LSommaire du Match
45 - 2019-09-12448PROVIDENCE Bruins2COLORADO Eagles3WSommaire du Match
46 - 2019-09-13464COLORADO Eagles4CHICAGO Wolves2WSommaire du Match
47 - 2019-09-14476WILKIES-BARRIE Penguins1COLORADO Eagles12WSommaire du Match
48 - 2019-09-15485COLORADO Eagles9WILKIES-BARRIE Penguins1WSommaire du Match
49 - 2019-09-16502COLORADO Eagles2LEHIGH VALLEY Phantoms1WSommaire du Match
50 - 2019-09-17507COLORADO Eagles4VICTORIAVILLE Tigres3WXSommaire du Match
51 - 2019-09-18518CHICAGO Wolves2COLORADO Eagles4WSommaire du Match
53 - 2019-09-20539HERSEY Bears1COLORADO Eagles3WSommaire du Match
54 - 2019-09-21550CORNWALL Aces0COLORADO Eagles10WSommaire du Match
57 - 2019-09-24569COLORADO Eagles3MONT-LAURIER Sommet4LSommaire du Match
58 - 2019-09-25578IOWA Wild0COLORADO Eagles4WSommaire du Match
60 - 2019-09-27595COLORADO Eagles10BROOKLYN Wolfpack0WSommaire du Match
61 - 2019-09-28605COLORADO Eagles15TUSCON Roadrunners2WSommaire du Match
62 - 2019-09-29612CHICAGO Wolves0COLORADO Eagles1WSommaire du Match
65 - 2019-10-02631MONT-LAURIER Sommet1COLORADO Eagles3WSommaire du Match
66 - 2019-10-03645COLORADO Eagles5SAN DIEGO Gulls0WSommaire du Match
67 - 2019-10-04655COLORADO Eagles0SYRACUSE Crunch3LSommaire du Match
68 - 2019-10-05668COLORADO Eagles5MILWAUKEE Admirals3WSommaire du Match
70 - 2019-10-07675HOLLYWOOD Oscar0COLORADO Eagles10WSommaire du Match
71 - 2019-10-08691COLORADO Eagles4LAVAL Rockets2WSommaire du Match
73 - 2019-10-10699VICTORIAVILLE Tigres0COLORADO Eagles3WSommaire du Match
74 - 2019-10-11711COLORADO Eagles5SAN DIEGO Gulls0WSommaire du Match
75 - 2019-10-12727TORONTO Marlies1COLORADO Eagles5WSommaire du Match
76 - 2019-10-13739COLORADO Eagles10HOLLYWOOD Oscar0WSommaire du Match
77 - 2019-10-14751CLEVELAND Monsters1COLORADO Eagles9WSommaire du Match
79 - 2019-10-16769TUSCON Roadrunners2COLORADO Eagles1LXXSommaire du Match
81 - 2019-10-18788UTICA Comets3COLORADO Eagles1LSommaire du Match
82 - 2019-10-19797COLORADO Eagles10CLEVELAND Monsters0WSommaire du Match
83 - 2019-10-20806COLORADO Eagles8TORONTO Marlies2WSommaire du Match
84 - 2019-10-21813COLORADO Eagles1UTICA Comets0WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22828SYRACUSE Crunch3COLORADO Eagles1LSommaire du Match
86 - 2019-10-23844COLORADO Eagles10HOLLYWOOD Oscar0WSommaire du Match
87 - 2019-10-24853PV Sharapovas5COLORADO Eagles3LSommaire du Match
90 - 2019-10-27874COLORADO Eagles0ROCKFORD IceHogs2LR3Sommaire du Match
91 - 2019-10-28884MILWAUKEE Admirals3COLORADO Eagles1LSommaire du Match
92 - 2019-10-29900SAN DIEGO Gulls0COLORADO Eagles8WSommaire du Match
93 - 2019-10-30910COLORADO Eagles13BROOKLYN Wolfpack1WSommaire du Match
94 - 2019-10-31922COLORADO Eagles5BELLEVILLE Senators2WSommaire du Match
96 - 2019-11-02933MILWAUKEE Admirals2COLORADO Eagles1LSommaire du Match
99 - 2019-11-05953BROOKLYN Wolfpack-COLORADO Eagles-
101 - 2019-11-07970COLORADO Eagles-CORNWALL Aces-
102 - 2019-11-08980SAN DIEGO Gulls-COLORADO Eagles-
105 - 2019-11-11999CLEVELAND Monsters-COLORADO Eagles-
106 - 2019-11-121007COLORADO Eagles-UTICA Comets-



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
3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,736,324$ 1,700,000$ 1,700,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,599,457$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 10 17,299$ 172,990$




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
32735216030023611072543623100100216056104372960200020151150112361663102402417410282330781018106498716148841972114041923719.27%3013189.70%61700246269.05%1110185959.71%774112668.74%230017781278418816457
Total Saison Régulière735216030023611072543623100100216056104372960200020151150112361663102402417410282330781018106498716148841972114041923719.27%3013189.70%61700246269.05%1110185959.71%774112668.74%230017781278418816457