COLORADO Eagles

GP: 6 | W: 5 | L: 1 | OTL: 0 | P: 10
GF: 46 | GA: 11 | PP%: 50.00% | PK%: 84.21%
DG: Pat Taillon | Morale : 98 | Moyenne d'Équipe : 60
Prochain matchs #88 vs CHICAGO Wolves
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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 Pulkkinen0XX100.005744686063729264506364606453525897640
2Denis Gurianov0X100.005735736979576068566665536651508597630
3Tyler Graovac0X100.006289647091505070706565506552514797620
4Phillip Di Giuseppe0X100.006535716573626265606058566056527297620
5Tomas Jurco (A)0X100.005289687078505070506464506458526597610
6Riley Barber0X100.005089537072505070506868516850504793600
7Emil Pettersson0X100.005089667073505070705757515750504297580
8Cameron Hebig (R)0X100.005089666758505067505757525750504497560
9Calvin Thurkauf0X100.005889675383505053705353505350504497550
10Matt Benning0X100.007441756678768365306363736958534797690
11Brad Hunt0X100.006035806767765566306368657255513497640
12Luke Schenn0X100.007956726485616364305349646079597097640
13Caleb Jones0X100.005535726976585869305449606051506097590
14Jordan Schmaltz0X100.005335726078576060305146585752517797570
15Adam Clendening0X100.005035536874525268305045585654516597560
16Ludwig Bystrom0X100.005089706771485067304742525250507197540
17Vili Saarijarvi0X100.005089685958505059304641555150504497520
Rayé
MOYENNE D'ÉQUIPE100.00576368667457586645585656615451579760
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 Vladar100.00746481867373747373736850624497650
2Filip Gustavsson (R)100.00716485777070717070706650614497630
Rayé
MOYENNE D'ÉQUIPE100.0073648382727273727272675062449764
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill74757580757580USA472151,000$


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
1Teemu PulkkinenCOLORADO Eagles (COL)LW/RW67101714205643103316.28%013622.69011051122150179.49%7800012.5000000130
2Adam ClendeningCOLORADO Eagles (COL)D61111213205191111.11%37813.120000002203000.00%000003.0500000100
3Tyler GraovacCOLORADO Eagles (COL)C6391214401472783411.11%012020.1101104000071073.40%9400001.9900000101
4Caleb JonesCOLORADO Eagles (COL)D65712102001135938.46%210116.9511214022014100.00%000002.3600000000
5Riley BarberCOLORADO Eagles (COL)RW6729101759238112418.42%08714.6400000000000083.33%600002.0500100011
6Emil PetterssonCOLORADO Eagles (COL)C6369800681961615.79%011118.5602205000111077.14%10500001.6200000100
7Brad HuntCOLORADO Eagles (COL)D626850003202510.00%012120.2310155000115100.00%000001.3200000000
8Luke SchennCOLORADO Eagles (COL)D61789205674414.29%410116.9510124000014000.00%000001.5700000000
9Tomas JurcoCOLORADO Eagles (COL)RW6538820434152512.20%010918.1911215000000050.00%400011.4700000010
10Matt BenningCOLORADO Eagles (COL)D61785201041910135.26%212020.0701115000114000.00%000001.3300000000
11Denis GurianovCOLORADO Eagles (COL)RW643715605633111512.12%012721.19000150001110054.55%1100011.1000000001
12Calvin ThurkaufCOLORADO Eagles (COL)C634710753871742.86%010918.2700000112180076.67%9000001.2800001000
13Ludwig BystromCOLORADO Eagles (COL)D61458006171114.29%27011.70000001012200100.00%100001.4200000000
14Phillip Di GiuseppeCOLORADO Eagles (COL)LW62359601210289267.14%012020.0601115000071080.00%500000.8300000000
15Jordan SchmaltzCOLORADO Eagles (COL)D612313204114157.14%27813.000000000000000.00%000000.7700000000
16Vili SaarijarviCOLORADO Eagles (COL)D6022760503130.00%06210.420000000000000.00%000000.6400000000
17Cameron HebigCOLORADO Eagles (COL)LW602297535286160.00%110617.78000000001500100.00%500000.3800100000
Stats d'équipe Total ou en Moyenne1024688134167671596723569223712.92%16176317.2948121252369101245176.19%39900031.5200201453
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)65100.8571.833600211770000.000060000
Stats d'équipe Total ou en Moyenne65100.8571.833600211770000.000060000


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 Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam ClendeningCOLORADO Eagles (COL)D261992-10-26No89 Kg183 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Brad HuntCOLORADO Eagles (COL)D311988-08-24No85 Kg175 CMNoNoNo6Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Caleb JonesCOLORADO Eagles (COL)D221997-06-06No88 Kg185 CMNoNoNo3Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$Lien
Calvin ThurkaufCOLORADO Eagles (COL)C221997-06-27No96 Kg188 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Cameron HebigCOLORADO Eagles (COL)LW221997-01-21Yes84 Kg155 CMNoNoNo2Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$Lien
Dan VladarCOLORADO Eagles (COL)G221997-08-20No84 Kg196 CMNoNoNo3Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$Lien
Denis GurianovCOLORADO Eagles (COL)RW221997-06-07No89 Kg188 CMNoNoNo3Pro & Farm1,500,000$1,391,891$1,500,000$1,391,891$0$0$No1,500,000$1,500,000$Lien
Emil PetterssonCOLORADO Eagles (COL)C251994-01-14No75 Kg188 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Filip GustavssonCOLORADO Eagles (COL)G211998-06-07Yes84 Kg188 CMNoNoNo2Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$Lien
Jordan SchmaltzCOLORADO Eagles (COL)D251993-10-08No86 Kg188 CMNoNoNo3Pro & Farm900,000$835,135$900,000$835,135$0$0$No900,000$900,000$Lien
Ludwig BystromCOLORADO Eagles (COL)D251994-07-20No77 Kg185 CMNoNoNo3Pro & Farm750,000$695,945$750,000$695,945$0$0$No750,000$750,000$Lien
Luke SchennCOLORADO Eagles (COL)D291989-11-02No100 Kg188 CMNoNoNo3Pro & Farm1,250,000$1,159,909$1,250,000$1,159,909$0$0$No1,250,000$1,250,000$Lien
Matt BenningCOLORADO Eagles (COL)D251994-05-25No92 Kg185 CMNoNoNo5Pro & Farm2,000,000$1,855,855$2,000,000$1,855,855$0$0$No2,000,000$2,000,000$2,000,000$2,000,000$Lien
Phillip Di GiuseppeCOLORADO Eagles (COL)LW251993-10-09No87 Kg183 CMNoNoNo1Pro & Farm800,000$742,342$800,000$742,342$0$0$NoLien
Riley BarberCOLORADO Eagles (COL)RW251994-02-07No86 Kg183 CMNoNoNo3Pro & Farm800,000$742,342$800,000$742,342$0$0$No800,000$800,000$Lien
Teemu PulkkinenCOLORADO Eagles (COL)LW/RW271992-01-02No84 Kg178 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Tomas JurcoCOLORADO Eagles (COL)RW261992-12-28No85 Kg188 CMNoNoNo3Pro & Farm800,000$742,342$800,000$742,342$0$0$No800,000$800,000$Lien
Tyler GraovacCOLORADO Eagles (COL)C261993-04-27No95 Kg196 CMNoNoNo1Pro & Farm800,000$742,342$800,000$742,342$0$0$NoLien
Vili SaarijarviCOLORADO Eagles (COL)D221997-05-15No83 Kg155 CMNoNoNo1Pro & Farm750,000$695,945$750,000$695,945$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1924.6387 Kg183 CM2.42900,000$



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 PulkkinenTyler Graovac20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt BenningBrad Hunt31122
2Luke SchennCaleb Jones26122
3Jordan SchmaltzAdam Clendening23122
4Ludwig BystromVili Saarijarvi20122
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
2Tyler GraovacPhillip Di Giuseppe45122
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
2Tyler GraovacPhillip Di Giuseppe45122
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, Tyler Graovac, Phillip Di Giuseppe, Tomas Jurco
Gardien
#1 : Dan Vladar, #2 : Filip Gustavsson
Lignes d'Attaque Perso. en Prol.
Teemu Pulkkinen, Denis Gurianov, Tyler Graovac, Phillip Di Giuseppe, 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
1BROOKLYN Wolfpack22000000220221100000011011110000001101141.000224264022710901611231161170621426000.00%70100.00%216021275.47%638871.59%819981.82%23419364236037
2Binghampton Devils11000000532000000000001100000053221.0005914002710905012311611701556153266.67%30100.00%016021275.47%638871.59%819981.82%23419364236037
3PROVIDENCE Bruins11000000321000000000001100000032121.000358002710903412311611702764193133.33%2150.00%116021275.47%638871.59%819981.82%23419364236037
4ROCKFORD IceHogs1010000035-21010000035-20000000000000.0003690027109014123116117026343212150.00%7271.43%016021275.47%638871.59%819981.82%23419364236037
Total6510000046113532100000276213300000019514100.8334688134022710903561231161170771667968450.00%19384.21%316021275.47%638871.59%819981.82%23419364236037
6WILKIES-BARRIE Penguins110000001311211000000131120000000000021.0001326390027109097123116117030015000.00%000.00%016021275.47%638871.59%819981.82%23419364236037
_Since Last GM Reset6510000046113532100000276213300000019514100.8334688134022710903561231161170771667968450.00%19384.21%316021275.47%638871.59%819981.82%23419364236037
_Vs Conference4310000028721211000001459220000001421260.750285381022710902091231161170591161665240.00%16381.25%316021275.47%638871.59%819981.82%23419364236037
_Vs Division1010000035-21010000035-20000000000000.0003690027109014123116117026343212150.00%7271.43%016021275.47%638871.59%819981.82%23419364236037

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
610W146881343567716679602
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
65100004611
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000276
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3300000195
Derniers 10 Matchs
WLOTWOTL SOWSOL
510000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
8450.00%19384.21%3
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
1231161170271090
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
16021275.47%638871.59%819981.82%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
23419364236037


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 - 2020-01-155BROOKLYN Wolfpack0COLORADO Eagles11WSommaire du Match
2 - 2020-01-1618COLORADO Eagles11BROOKLYN Wolfpack0WSommaire du Match
3 - 2020-01-1734WILKIES-BARRIE Penguins1COLORADO Eagles13WSommaire du Match
4 - 2020-01-1851COLORADO Eagles3PROVIDENCE Bruins2WSommaire du Match
5 - 2020-01-1958ROCKFORD IceHogs5COLORADO Eagles3LR3Sommaire du Match
7 - 2020-01-2174COLORADO Eagles5Binghampton Devils3WSommaire du Match
9 - 2020-01-2388COLORADO Eagles-CHICAGO Wolves-
11 - 2020-01-2595LAVAL Rockets-COLORADO Eagles-
13 - 2020-01-27114CHICAGO Wolves-COLORADO Eagles-
15 - 2020-01-29129ROCKFORD IceHogs-COLORADO Eagles-
17 - 2020-01-31130COLORADO Eagles-HERSEY Bears-
20 - 2020-02-03155COLORADO Eagles-Marlies de Toronto-
21 - 2020-02-04161HERSEY Bears-COLORADO Eagles-
22 - 2020-02-05178COLORADO Eagles-HERSEY Bears-
23 - 2020-02-06187COLORADO Eagles-HOLLYWOOD Oscar-
24 - 2020-02-07190COLORADO Eagles-BROOKLYN Wolfpack-
25 - 2020-02-08205Binghampton Devils-COLORADO Eagles-
26 - 2020-02-09218COLORADO Eagles-IOWA Wild-
28 - 2020-02-11232UTICA Comets-COLORADO Eagles-
29 - 2020-02-12244COLORADO Eagles-SAN DIEGO Gulls-
30 - 2020-02-13255MONT-LAURIER Sommet-COLORADO Eagles-
32 - 2020-02-15274Marlies de Toronto-COLORADO Eagles-
33 - 2020-02-16292COLORADO Eagles-PROVIDENCE Bruins-
34 - 2020-02-17300Binghampton Devils-COLORADO Eagles-
36 - 2020-02-19319BROOKLYN Wolfpack-COLORADO Eagles-
37 - 2020-02-20330COLORADO Eagles-BROOKLYN Wolfpack-
38 - 2020-02-21345BROOKLYN Wolfpack-COLORADO Eagles-
39 - 2020-02-22352COLORADO Eagles-Marlies de Toronto-
40 - 2020-02-23360COLORADO Eagles-Syracruse Crunch-
42 - 2020-02-25381TUSCON Roadrunners-COLORADO Eagles-
43 - 2020-02-26384COLORADO Eagles-Manitoba Moose-
44 - 2020-02-27398COLORADO Eagles-LEHIGH VALLEY Phantoms-
45 - 2020-02-28410COLORADO Eagles-ROCKFORD IceHogs-
46 - 2020-02-29422BELLEVILLE Senators-COLORADO Eagles-
47 - 2020-03-01437COLORADO Eagles-Binghampton Devils-
49 - 2020-03-03447HERSEY Bears-COLORADO Eagles-
50 - 2020-03-04466BRIDGEPORT Sound Tigers-COLORADO Eagles-
52 - 2020-03-06483HOLLYWOOD Oscar-COLORADO Eagles-
54 - 2020-03-08500COLORADO Eagles-HERSEY Bears-
55 - 2020-03-09508COLORADO Eagles-UTICA Comets-
56 - 2020-03-10515SAN DIEGO Gulls-COLORADO Eagles-
57 - 2020-03-11528COLORADO Eagles-WILKIES-BARRIE Penguins-
59 - 2020-03-13543WILKIES-BARRIE Penguins-COLORADO Eagles-
60 - 2020-03-14562Syracruse Crunch-COLORADO Eagles-
62 - 2020-03-16577COLORADO Eagles-CHICAGO Wolves-
63 - 2020-03-17588SAN DIEGO Gulls-COLORADO Eagles-
64 - 2020-03-18605IOWA Wild-COLORADO Eagles-
65 - 2020-03-19620COLORADO Eagles-STOCKTON Flames-
67 - 2020-03-21633COLORADO Eagles-ROCKFORD IceHogs-
68 - 2020-03-22640PV Sharapovas-COLORADO Eagles-
69 - 2020-03-23658COLORADO Eagles-SAN DIEGO Gulls-
70 - 2020-03-24669CHICAGO Wolves-COLORADO Eagles-
71 - 2020-03-25683COLORADO Eagles-CORNWALL Aces-
72 - 2020-03-26695CORNWALL Aces-COLORADO Eagles-
74 - 2020-03-28708COLORADO Eagles-BRIDGEPORT Sound Tigers-
75 - 2020-03-29722PROVIDENCE Bruins-COLORADO Eagles-
76 - 2020-03-30734COLORADO Eagles-BRIDGEPORT Sound Tigers-
77 - 2020-03-31746BRIDGEPORT Sound Tigers-COLORADO Eagles-
78 - 2020-04-01762COLORADO Eagles-PV Sharapovas-
80 - 2020-04-03776UTICA Comets-COLORADO Eagles-
81 - 2020-04-04788COLORADO Eagles-BELLEVILLE Senators-
82 - 2020-04-05798HERSEY Bears-COLORADO Eagles-
83 - 2020-04-06813Manitoba Moose-COLORADO Eagles-
85 - 2020-04-08828COLORADO Eagles-HOLLYWOOD Oscar-
86 - 2020-04-09841LEHIGH VALLEY Phantoms-COLORADO Eagles-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11862MILWAUKEE Admirals-COLORADO Eagles-
89 - 2020-04-12871COLORADO Eagles-TUSCON Roadrunners-
90 - 2020-04-13887Marlies de Toronto-COLORADO Eagles-
91 - 2020-04-14897COLORADO Eagles-TUSCON Roadrunners-
92 - 2020-04-15908COLORADO Eagles-LAVAL Rockets-
93 - 2020-04-16920MILWAUKEE Admirals-COLORADO Eagles-
94 - 2020-04-17936PROVIDENCE Bruins-COLORADO Eagles-
97 - 2020-04-20959COLORADO Eagles-LAVAL Rockets-
98 - 2020-04-21968TUSCON Roadrunners-COLORADO Eagles-
99 - 2020-04-22982COLORADO Eagles-UTICA Comets-
100 - 2020-04-23993LAVAL Rockets-COLORADO Eagles-
101 - 2020-04-241004COLORADO Eagles-VICTORIAVILLE Tigres-
102 - 2020-04-251013COLORADO Eagles-MONT-LAURIER Sommet-
104 - 2020-04-271025VICTORIAVILLE Tigres-COLORADO Eagles-
106 - 2020-04-291040COLORADO Eagles-MILWAUKEE Admirals-
108 - 2020-05-011048STOCKTON Flames-COLORADO Eagles-
109 - 2020-05-021061COLORADO Eagles-MILWAUKEE Admirals-



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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
134,128$ 1,710,000$ 1,710,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 123,240$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 103 16,766$ 1,726,898$




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
336510000046113532100000276213300000019514104688134022710903561231161170771667968450.00%19384.21%316021275.47%638871.59%819981.82%23419364236037
Total Saison Régulière6510000046113532100000276213300000019514104688134022710903561231161170771667968450.00%19384.21%316021275.47%638871.59%819981.82%23419364236037
Séries
3251400000311-83120000026-42020000015-4236900021097243340013540468819210.53%21385.71%07213354.14%7216344.17%276144.26%10974127396229
Total Séries51400000311-83120000026-42020000015-4236900021097243340013540468819210.53%21385.71%07213354.14%7216344.17%276144.26%10974127396229