COLORADO Eagles

GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 4 | GA: 3 | PP%: 0.00% | PK%: 75.00%
DG: Pat Taillon | Morale : 99 | Moyenne d'Équipe : 66
Prochain matchs #29 vs SAN ANTONIO Rampage
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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 SPÂgeContratSalaire
1Tyler Ennis0XX100.007837827662738272546971577279696299710301800,000$
2Tyler Graovac0X100.006746836291697163755961646273675299670275750,000$
3Laurent Dauphin0X100.005946876173807959716058625969657299660251750,000$
4Riley Barber0X100.006147866375777364576162596471665399660261800,000$
5Tomas Jurco (A)0X100.006243866378716964576263596675686399660271800,000$
6Phillip Di Giuseppe0X100.006539866173787162566060596273676499660265750,000$
7Luke Johnson0X100.005639876168767262746059636271665899650251925,000$
8Calvin Thurkauf0X100.006445876182787559635858605965625699650235750,000$
9Jack Kopacka (R)0X100.006542855880838157545656595863626199650223750,000$
10Ross Johnston0X100.0082716258966166575153565559716642996402631,000,000$
11David Kase (R)0X100.005739836266797660545958615965645899640233750,000$
12Cameron Hebig0X100.005342895958818257535655525965636199620234750,000$
13Nicholas Caamano (R)0X100.005489526479505064505757505750504499570213750,000$
14Brad Hunt0X100.005438866865838067307270595480723799700324750,000$
15Luke Schenn0X100.0082488661867773593063566952797168996903011,250,000$
16Matt Benning0X100.0073468466787477643065556752716554996802632,000,000$
17Adam Clendening0X100.005950816372817762306458635475686399670275750,000$
18Brendan Guhle0X100.006445886380857761306058625365667199670235900,000$
19Jordan Schmaltz0X100.006243896180787259305857605173676999660261900,000$
Rayé
1Nicolas Meloche (R)0X100.007153825885838156305552594565637599650233750,000$
2Vili Saarijarvi0X100.005339875758838456305451554565626799620235750,000$
MOYENNE D'ÉQUIPE100.00644783627576756148605960577065609966
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 Vladar100.00767775867574767574767565696699680
2Filip Gustavsson100.00697775776867696867696863677199630
Rayé
MOYENNE D'ÉQUIPE100.0073777582727173727173726468699966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill78757579797976USA482800,000$


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
1Tyler EnnisCOLORADO Eagles (COL)C/LW12132001380325.00%12323.8800011000030034.88%4300002.5101000100
2Jordan SchmaltzCOLORADO Eagles (COL)D1011120210110.00%01414.650000000001000.00%000001.3700000000
3Riley BarberCOLORADO Eagles (COL)RW1011220021020.00%02121.13000110000100100.00%100000.9501000000
4Matt BenningCOLORADO Eagles (COL)D1011000300000.00%42222.980000100003000.00%000000.8700000000
5Phillip Di GiuseppeCOLORADO Eagles (COL)LW11012000031333.33%01717.1000001000000050.00%200001.1700000000
6Laurent DauphinCOLORADO Eagles (COL)C1000-100123210.00%01717.2000000000020025.81%3100000.0001000000
7Ross JohnstonCOLORADO Eagles (COL)LW1000-120201000.00%01111.020000000000000.00%100000.0000000000
8Adam ClendeningCOLORADO Eagles (COL)D1000020102000.00%02020.380001100002000.00%000000.0000000000
9Brendan GuhleCOLORADO Eagles (COL)D1000100100020.00%01414.670000000000000.00%000000.0000000000
10Brad HuntCOLORADO Eagles (COL)D1000000100110.00%02626.750000200002000.00%000000.0000000000
11Luke SchennCOLORADO Eagles (COL)D1000040302220.00%22525.500001200002000.00%000000.0000000000
12Tomas JurcoCOLORADO Eagles (COL)RW1000000102020.00%01414.470001200000000.00%100000.0001000000
13Tyler GraovacCOLORADO Eagles (COL)C1000000020310.00%02020.7500002000030055.56%1800000.0011000000
14Luke JohnsonCOLORADO Eagles (COL)C1000000221030.00%099.4500000000000040.00%1000000.0011000000
15Cameron HebigCOLORADO Eagles (COL)LW1000000001000.00%199.45000000000000100.00%100000.0000000000
16David KaseCOLORADO Eagles (COL)RW1000-100010000.00%01212.530000000001000.00%000000.0000000000
17Jack KopackaCOLORADO Eagles (COL)LW1000000114100.00%01313.350000200000000.00%000000.0000000000
18Nicholas CaamanoCOLORADO Eagles (COL)RW1000000000000.00%099.450000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne183475120191428112110.71%830416.930005190000240036.70%10900000.4626000100
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)11000.9422.7765003520000.833610010
Stats d'équipe Total ou en Moyenne11000.9422.7765003520000.833610010


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)D2710/26/1992No86 Kg183 CMNoNoNo5Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$Lien
Brad HuntCOLORADO Eagles (COL)D328/24/1988No80 Kg175 CMNoNoNo4Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$Lien
Brendan GuhleCOLORADO Eagles (COL)D231/8/1997 2:17:25 PMNo90 Kg188 CMNoNoNo5Pro & Farm900,000$884,746$900,000$884,746$0$0$No900,000$900,000$900,000$900,000$Lien
Calvin ThurkaufCOLORADO Eagles (COL)C236/27/1997No93 Kg188 CMNoNoNo5Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$Lien
Cameron HebigCOLORADO Eagles (COL)LW231/21/1997No84 Kg155 CMNoNoNo4Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$Lien
Dan VladarCOLORADO Eagles (COL)G238/20/1997No84 Kg196 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
David KaseCOLORADO Eagles (COL)RW231/28/1997Yes77 Kg180 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Filip GustavssonCOLORADO Eagles (COL)G226/7/1998No84 Kg188 CMNoNoNo6Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Jack KopackaCOLORADO Eagles (COL)LW223/5/1998Yes90 Kg188 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Jordan SchmaltzCOLORADO Eagles (COL)D2610/8/1993No89 Kg188 CMNoNoNo1Pro & Farm900,000$884,746$900,000$884,746$0$0$NoLien
Laurent DauphinCOLORADO Eagles (COL)C253/27/1995No82 Kg185 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Luke JohnsonCOLORADO Eagles (COL)C259/19/1994No80 Kg180 CMNoNoNo1Pro & Farm925,000$909,322$925,000$909,322$0$0$NoLien
Luke SchennCOLORADO Eagles (COL)D3011/2/1989No103 Kg188 CMNoNoNo1Pro & Farm1,250,000$1,228,814$1,250,000$1,228,814$0$0$NoLien
Matt BenningCOLORADO Eagles (COL)D265/25/1994No92 Kg185 CMNoNoNo3Pro & Farm2,000,000$1,966,102$2,000,000$1,966,102$0$0$No2,000,000$2,000,000$Lien
Nicholas CaamanoCOLORADO Eagles (COL)RW219/7/1998Yes89 Kg188 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Nicolas MelocheCOLORADO Eagles (COL)D237/18/1997Yes95 Kg191 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Phillip Di GiuseppeCOLORADO Eagles (COL)LW2610/9/1993No88 Kg183 CMNoNoNo5Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$Lien
Riley BarberCOLORADO Eagles (COL)RW262/7/1994No92 Kg183 CMNoNoNo1Pro & Farm800,000$786,441$800,000$786,441$0$0$NoLien
Ross JohnstonCOLORADO Eagles (COL)LW262/18/1994No107 Kg196 CMNoNoNo3Pro & Farm1,000,000$983,051$1,000,000$983,051$0$0$No1,000,000$1,000,000$Lien
Tomas JurcoCOLORADO Eagles (COL)RW2712/28/1992No85 Kg188 CMNoNoNo1Pro & Farm800,000$786,441$800,000$786,441$0$0$NoLien
Tyler EnnisCOLORADO Eagles (COL)C/LW3010/6/1989No73 Kg175 CMNoNoNo1Pro & Farm800,000$786,441$800,000$786,441$0$0$NoLien
Tyler GraovacCOLORADO Eagles (COL)C274/27/1993No95 Kg196 CMNoNoNo5Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$Lien
Vili SaarijarviCOLORADO Eagles (COL)D235/15/1997No83 Kg155 CMNoNoNo5Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2325.1788 Kg183 CM3.04864,130$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Phillip Di GiuseppeTyler EnnisRiley Barber31122
2Jack KopackaTyler GraovacTomas Jurco26122
3Ross JohnstonLaurent DauphinDavid Kase23122
4Cameron HebigLuke JohnsonNicholas Caamano20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brad HuntLuke Schenn31122
2Matt BenningAdam Clendening26122
3Brendan GuhleJordan Schmaltz23122
4Brad HuntLuke Schenn20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Phillip Di GiuseppeTyler EnnisRiley Barber55122
2Jack KopackaTyler GraovacTomas Jurco45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brad HuntLuke Schenn55122
2Matt BenningAdam Clendening45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tyler EnnisTyler Graovac55122
2Laurent DauphinRiley Barber45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brad HuntLuke Schenn55122
2Matt BenningAdam Clendening45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Ennis55122Brad HuntLuke Schenn55122
2Tyler Graovac45122Matt BenningAdam Clendening45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tyler EnnisTyler Graovac55122
2Laurent DauphinRiley Barber45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brad HuntLuke Schenn55122
2Matt BenningAdam Clendening45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Phillip Di GiuseppeTyler EnnisRiley BarberBrad HuntLuke Schenn
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Phillip Di GiuseppeTyler EnnisRiley BarberBrad HuntLuke Schenn
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Calvin Thurkauf, Luke Johnson, David KaseCalvin Thurkauf, Luke JohnsonDavid Kase
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brendan Guhle, Jordan Schmaltz, Matt BenningBrendan GuhleJordan Schmaltz, Matt Benning
Tirs de Pénalité
Tyler Ennis, Tyler Graovac, Laurent Dauphin, Riley Barber, Tomas Jurco
Gardien
#1 : Dan Vladar, #2 : Filip Gustavsson
Lignes d'Attaque Perso. en Prol.
Tyler Ennis, Tyler Graovac, Laurent Dauphin, Riley Barber, Tomas Jurco, Phillip Di Giuseppe, Phillip Di Giuseppe, Jack Kopacka, Luke Johnson, Calvin Thurkauf, David Kase
Lignes de Défense Perso. en Prol.
Brad Hunt, Luke Schenn, Matt Benning, Adam Clendening, Brendan Guhle


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
1LAVAL Rocket10000010431100000104310000000000021.000448001112281261065281219200.00%4175.00%0113333.33%184837.50%112347.83%2518266126
Total10000010431100000104310000000000021.000448001112281261065281219200.00%4175.00%0113333.33%184837.50%112347.83%2518266126
_Since Last GM Reset10000010431100000104310000000000021.000448001112281261065281219200.00%4175.00%0113333.33%184837.50%112347.83%2518266126
_Vs Conference10000010431100000104310000000000021.000448001112281261065281219200.00%4175.00%0113333.33%184837.50%112347.83%2518266126

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
12W144828528121900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
100001043
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100001043
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
100000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
200.00%4175.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
1261061112
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
113333.33%184837.50%112347.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2518266126


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2021-01-1814LAVAL Rocket3COLORADO Eagles4WXXSommaire du Match
3 - 2021-01-1929SAN ANTONIO Rampage-COLORADO Eagles-
4 - 2021-01-2035COLORADO Eagles-ROCKFORD IceHogs-
6 - 2021-01-2254BRIDGEPORT Sound Tigers-COLORADO Eagles-
7 - 2021-01-2359COLORADO Eagles-MILWAUKEE Admirals-
9 - 2021-01-2581LAVAL Rocket-COLORADO Eagles-
10 - 2021-01-2688COLORADO Eagles-TORONTO Marlies-
13 - 2021-01-29108COLORADO Eagles-TORONTO Marlies-
14 - 2021-01-30116HERSEY Bears-COLORADO Eagles-
16 - 2021-02-01134SAN ANTONIO Rampage-COLORADO Eagles-
17 - 2021-02-02146COLORADO Eagles-SAN ANTONIO Rampage-
18 - 2021-02-03151COLORADO Eagles-SAN DIEGO Gulls-
19 - 2021-02-04166COLORADO Eagles-UTICA Comets-
20 - 2021-02-05179ROCKFORD IceHogs-COLORADO Eagles-
22 - 2021-02-07194BRIDGEPORT Sound Tigers-COLORADO Eagles-
24 - 2021-02-09209MILWAUKEE Admirals-COLORADO Eagles-
25 - 2021-02-10222COLORADO Eagles-SYRACUSE Crunch-
27 - 2021-02-12235MILWAUKEE Admirals-COLORADO Eagles-
28 - 2021-02-13245COLORADO Eagles-MILWAUKEE Admirals-
30 - 2021-02-15261SAN ANTONIO Rampage-COLORADO Eagles-
31 - 2021-02-16270COLORADO Eagles-ONTARIO Reign-
32 - 2021-02-17287LEHIGH VALLEY Phantoms-COLORADO Eagles-
34 - 2021-02-19300COLORADO Eagles-CAROLINA Checkers-
35 - 2021-02-20313TORONTO Marlies-COLORADO Eagles-
37 - 2021-02-22328COLORADO Eagles-GRAND RAPIDS Griffins-
38 - 2021-02-23340COLORADO Eagles-TORONTO Marlies-
39 - 2021-02-24350GRAND RAPIDS Griffins-COLORADO Eagles-
41 - 2021-02-26366ROCKFORD IceHogs-COLORADO Eagles-
43 - 2021-02-28380COLORADO Eagles-IOWA Wild-
44 - 2021-03-01392TORONTO Marlies-COLORADO Eagles-
46 - 2021-03-03405COLORADO Eagles-LAVAL Rocket-
47 - 2021-03-04420IOWA Wild-COLORADO Eagles-
48 - 2021-03-05433SYRACUSE Crunch-COLORADO Eagles-
50 - 2021-03-07443COLORADO Eagles-CHICAGO Wolves-
51 - 2021-03-08455COLORADO Eagles-SAN ANTONIO Rampage-
52 - 2021-03-09468COLORADO Eagles-BROOKLYN Wolfpack-
54 - 2021-03-11479STOCKTON Flames-COLORADO Eagles-
55 - 2021-03-12494COLORADO Eagles-BRIDGEPORT Sound Tigers-
56 - 2021-03-13506COLORADO Eagles-MILWAUKEE Admirals-
57 - 2021-03-14516HERSEY Bears-COLORADO Eagles-
59 - 2021-03-16532BRIDGEPORT Sound Tigers-COLORADO Eagles-
61 - 2021-03-18547SYRACUSE Crunch-COLORADO Eagles-
62 - 2021-03-19559COLORADO Eagles-TUSCON Roadrunners-
64 - 2021-03-21574CAROLINA Checkers-COLORADO Eagles-
65 - 2021-03-22589COLORADO Eagles-BINGHAMTON Devils-
66 - 2021-03-23599BROOKLYN Wolfpack-COLORADO Eagles-
68 - 2021-03-25613COLORADO Eagles-TUSCON Roadrunners-
69 - 2021-03-26626COLORADO Eagles-STOCKTON Flames-
70 - 2021-03-27637BROOKLYN Wolfpack-COLORADO Eagles-
72 - 2021-03-29652LAVAL Rocket-COLORADO Eagles-
74 - 2021-03-31669COLORADO Eagles-MANITOBA Moose-
75 - 2021-04-01676COLORADO Eagles-HERSEY Bears-
77 - 2021-04-03690TUSCON Roadrunners-COLORADO Eagles-
78 - 2021-04-04705COLORADO Eagles-ROCKFORD IceHogs-
79 - 2021-04-05714SAN DIEGO Gulls-COLORADO Eagles-
80 - 2021-04-06723COLORADO Eagles-BELLEVILLE Senators-
82 - 2021-04-08739COLORADO Eagles-SAN DIEGO Gulls-
83 - 2021-04-09748BELLEVILLE Senators-COLORADO Eagles-
85 - 2021-04-11767PROVIDENCE Bruins-COLORADO Eagles-
87 - 2021-04-13784BAKERSFIELD Condors-COLORADO Eagles-
88 - 2021-04-14796COLORADO Eagles-LAVAL Rocket-
91 - 2021-04-17810LAVAL Rocket-COLORADO Eagles-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19826COLORADO Eagles-BAKERSFIELD Condors-
94 - 2021-04-20836CHICAGO Wolves-COLORADO Eagles-
95 - 2021-04-21847COLORADO Eagles-BRIDGEPORT Sound Tigers-
96 - 2021-04-22861COLORADO Eagles-SCRANTON Penguins-
97 - 2021-04-23869UTICA Comets-COLORADO Eagles-
99 - 2021-04-25889MANITOBA Moose-COLORADO Eagles-
100 - 2021-04-26898COLORADO Eagles-ROCKFORD IceHogs-
101 - 2021-04-27912COLORADO Eagles-LEHIGH VALLEY Phantoms-
102 - 2021-04-28919COLORADO Eagles-SAN DIEGO Gulls-
104 - 2021-04-30931SAN DIEGO Gulls-COLORADO Eagles-
106 - 2021-05-02947ONTARIO Reign-COLORADO Eagles-
107 - 2021-05-03957COLORADO Eagles-PROVIDENCE Bruins-
109 - 2021-05-05971COLORADO Eagles-PROVIDENCE Bruins-
110 - 2021-05-06983SCRANTON Penguins-COLORADO Eagles-
111 - 2021-05-07991COLORADO Eagles-LEHIGH VALLEY Phantoms-
112 - 2021-05-081007COLORADO Eagles-UTICA Comets-
113 - 2021-05-091014BINGHAMTON Devils-COLORADO Eagles-
117 - 2021-05-131040BINGHAMTON Devils-COLORADO 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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
33,686$ 1,987,500$ 1,987,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 33,686$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 116 16,843$ 1,953,788$




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
Saison Régulière
34804423053232511797240251003020134884640191302303117912610825145770801110785528248880881882258205258573414222535822.92%3344387.13%21545268857.48%1299244153.22%616116253.01%209115001761552990507
34804423053232511797240251003020134884640191302303117912610825145770801110785528248880881882258205258573414222535822.92%3344387.13%21545268857.48%1299244153.22%616116253.01%209115001761552990507
361000001043110000010431000000000002448001112281261065281219200.00%4175.00%0113333.33%184837.50%112347.83%2518266126
Total Saison Régulière1618846010656506361145815020060502721799380382604606234182522185069181424022215171105185004162816421654122415611781480286350811622.83%6728787.05%43101540957.33%2616493053.06%1243234752.96%420830183548111219941020
Séries
3451400000711-42020000025-33120000056-127142100223099343134012437499914535.71%21290.48%07114947.65%8817450.57%337742.86%10770125406732
Total Séries51400000711-42020000025-33120000056-127142100223099343134012437499914535.71%21290.48%07114947.65%8817450.57%337742.86%10770125406732