COLORADO Eagles

GP: 19 | W: 10 | L: 9
GF: 41 | GA: 42 | PP%: 15.66% | PK%: 85.00%
DG: Pat Taillon | Morale : 84 | Moyenne d'Équipe : 60
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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 Pulkkinen0XX100.005744686063729264506364606453525885640
2Denis Gurianov0X100.005735736979576068566665536651508585630
3Tyler Graovac0X100.006289647091505070706565506552514785620
4Phillip Di Giuseppe0X100.006535716573626265606058566056527285620
5Tomas Jurco (A)0X100.005289687078505070506464506458526585610
6Riley Barber0X100.005089537072505070506868516850504785600
7Emil Pettersson0X100.005089667073505070705757515750504285580
8Cameron Hebig (R)0X100.005089666758505067505757525750504485560
9Calvin Thurkauf0X100.005889675383505053705353505350504485550
10Matt Benning0X100.007441756678768365306363736958534786690
11Brad Hunt0X100.006035806767765566306368657255513485640
12Luke Schenn0X100.007956726485616364305349646079597085640
13Jordan Schmaltz0X100.005335726078576060305146585752517785570
14Adam Clendening0X100.005035536874525268305045585654516585560
15Ludwig Bystrom0X100.005089706771485067304742525250507185540
16Vili Saarijarvi0X100.005089685958505059304641555150504485520
Rayé
MOYENNE D'ÉQUIPE100.00576468657457586546585756615451578560
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 Vladar100.00746481867373747373736850624483650
2Filip Gustavsson (R)100.00716485777070717070706650614485620
Rayé
MOYENNE D'ÉQUIPE100.0073648382727273727272675062448464
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
1Matt BenningCOLORADO Eagles (COL)D196915-6260352629123820.69%2651126.904591470000060210.00%200000.5900000011
2Emil PetterssonCOLORADO Eagles (COL)C196814640203440133815.00%235518.71224960000033050.57%35200000.7900000200
3Tomas JurcoCOLORADO Eagles (COL)RW197411580182042114116.67%335118.52000560000002062.50%2400000.6300000021
4Brad HuntCOLORADO Eagles (COL)D192810-34021183515285.71%2341221.731782272000171010.00%000000.4800000110
5Luke SchennCOLORADO Eagles (COL)D192810524055132810237.14%2141121.680222161000155000.00%000000.4900000030
6Denis GurianovCOLORADO Eagles (COL)RW194610-64022255518317.27%246924.713146640000711061.76%3400100.4300000200
7Riley BarberCOLORADO Eagles (COL)RW19358112025295118385.88%135018.42000215000000136.59%4100000.4600000001
8Tyler GraovacCOLORADO Eagles (COL)C19358-310035224910406.12%137519.7610113630001500051.33%41300000.4300000010
9Phillip Di GiuseppeCOLORADO Eagles (COL)LW1935848049264712326.38%446024.2621313580000490143.01%9300000.3500000113
10Teemu PulkkinenCOLORADO Eagles (COL)LW/RW19246-710016263916495.13%948925.750447680000751043.81%29900000.2500000001
11Cameron HebigCOLORADO Eagles (COL)LW1924601001621343275.88%034918.390002120000101056.25%1600000.3400000100
12Adam ClendeningCOLORADO Eagles (COL)D19033-21402897380.00%1230315.960001500001000.00%000000.2000000000
13Jordan SchmaltzCOLORADO Eagles (COL)D19033640810186130.00%1641421.830111160000062000.00%100000.1400000010
14Calvin ThurkaufCOLORADO Eagles (COL)C19123-1260292513287.69%235718.81000150000220050.94%31800000.1700000000
15Vili SaarijarviCOLORADO Eagles (COL)D19011-2209105050.00%51749.1900003000011000.00%000000.1100000000
16Ludwig BystromCOLORADO Eagles (COL)D19000-28023106470.00%931216.4300010000022000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne3044175116-517404093244981534268.23%136610020.07132336128685000356810449.15%159300100.38000007107
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)1910810.9241.96125500415370010.0000190301
Stats d'équipe Total ou en Moyenne1910810.9241.96125500415370010.0000190301


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$30,612$750,000$30,612$0$0$NoLien
Brad HuntCOLORADO Eagles (COL)D311988-08-24No85 Kg175 CMNoNoNo6Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Calvin ThurkaufCOLORADO Eagles (COL)C221997-06-27No96 Kg188 CMNoNoNo1Pro & Farm750,000$30,612$750,000$30,612$0$0$NoLien
Cameron HebigCOLORADO Eagles (COL)LW221997-01-21Yes84 Kg155 CMNoNoNo2Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$Lien
Dan VladarCOLORADO Eagles (COL)G221997-08-20No84 Kg196 CMNoNoNo3Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$750,000$Lien
Denis GurianovCOLORADO Eagles (COL)RW221997-06-07No89 Kg188 CMNoNoNo3Pro & Farm1,500,000$61,224$1,500,000$61,224$0$0$No1,500,000$1,500,000$Lien
Emil PetterssonCOLORADO Eagles (COL)C251994-01-14No75 Kg188 CMNoNoNo1Pro & Farm750,000$30,612$750,000$30,612$0$0$NoLien
Filip GustavssonCOLORADO Eagles (COL)G211998-06-07Yes84 Kg188 CMNoNoNo2Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$Lien
Jordan SchmaltzCOLORADO Eagles (COL)D251993-10-08No86 Kg188 CMNoNoNo3Pro & Farm900,000$36,734$900,000$36,734$0$0$No900,000$900,000$Lien
Ludwig BystromCOLORADO Eagles (COL)D251994-07-20No77 Kg185 CMNoNoNo3Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$750,000$Lien
Luke SchennCOLORADO Eagles (COL)D291989-11-02No100 Kg188 CMNoNoNo3Pro & Farm1,250,000$51,020$1,250,000$51,020$0$0$No1,250,000$1,250,000$Lien
Matt BenningCOLORADO Eagles (COL)D251994-05-25No92 Kg185 CMNoNoNo5Pro & Farm2,000,000$81,632$2,000,000$81,632$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$32,653$800,000$32,653$0$0$NoLien
Riley BarberCOLORADO Eagles (COL)RW251994-02-07No86 Kg183 CMNoNoNo3Pro & Farm800,000$32,653$800,000$32,653$0$0$No800,000$800,000$Lien
Teemu PulkkinenCOLORADO Eagles (COL)LW/RW271992-01-02No84 Kg178 CMNoNoNo1Pro & Farm750,000$30,612$750,000$30,612$0$0$NoLien
Tomas JurcoCOLORADO Eagles (COL)RW261992-12-28No85 Kg188 CMNoNoNo3Pro & Farm800,000$32,653$800,000$32,653$0$0$No800,000$800,000$Lien
Tyler GraovacCOLORADO Eagles (COL)C261993-04-27No95 Kg196 CMNoNoNo1Pro & Farm800,000$32,653$800,000$32,653$0$0$NoLien
Vili SaarijarviCOLORADO Eagles (COL)D221997-05-15No83 Kg155 CMNoNoNo1Pro & Farm750,000$30,612$750,000$30,612$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1824.7887 Kg183 CM2.39908,333$



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 SchennJordan Schmaltz26122
3Adam ClendeningLudwig Bystrom23122
4Vili SaarijarviMatt 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 SchennJordan Schmaltz45122
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 SchennJordan Schmaltz45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Teemu Pulkkinen55122Matt BenningBrad Hunt55122
2Denis Gurianov45122Luke SchennJordan Schmaltz45122
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 SchennJordan Schmaltz45122
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
Adam Clendening, Ludwig Bystrom, Vili SaarijarviAdam ClendeningLudwig Bystrom, Vili Saarijarvi
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, Jordan Schmaltz, Adam Clendening


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
1BRIDGEPORT Sound Tigers624000001116-5321000007703030000049-540.3331121320014121141281381451565918954641113139.68%27485.19%032262251.77%31267646.15%14929550.51%496340497156262128
2HERSEY Bears64200000161153120000067-133000000104680.66716284400141211418113814515659170466614818316.67%33681.82%032262251.77%31267646.15%14929550.51%496340497156262128
3PROVIDENCE Bruins743000001415-14220000079-23210000076180.57114264010141211418913814515659179364415034720.59%20290.00%032262251.77%31267646.15%14929550.51%496340497156262128
Total19109000004142-11055000002023-39540000021192200.526417511610141211449813814515659538136174409831315.66%801285.00%032262251.77%31267646.15%14929550.51%496340497156262128
_Since Last GM Reset19109000004142-11055000002023-39540000021192200.526417511610141211449813814515659538136174409831315.66%801285.00%032262251.77%31267646.15%14929550.51%496340497156262128
_Vs Conference19109000004142-11055000002023-39540000021192200.526417511610141211449813814515659538136174409831315.66%801285.00%032262251.77%31267646.15%14929550.51%496340497156262128

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1920L4417511649853813617440910
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
1910900004142
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
105500002023
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
95400002119
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
831315.66%801285.00%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
138145156591412114
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
32262251.77%31267646.15%14929550.51%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
496340497156262128


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 - 2020-05-097HERSEY Bears2COLORADO Eagles3WXSommaire du Match
4 - 2020-05-1115HERSEY Bears2COLORADO Eagles1LSommaire du Match
6 - 2020-05-1323COLORADO Eagles4HERSEY Bears1WSommaire du Match
8 - 2020-05-1531COLORADO Eagles3HERSEY Bears1WSommaire du Match
10 - 2020-05-1739HERSEY Bears3COLORADO Eagles2LXSommaire du Match
12 - 2020-05-1947COLORADO Eagles3HERSEY Bears2WXSommaire du Match
16 - 2020-05-2360PROVIDENCE Bruins3COLORADO Eagles1LSommaire du Match
18 - 2020-05-2564PROVIDENCE Bruins2COLORADO Eagles3WSommaire du Match
20 - 2020-05-2768COLORADO Eagles2PROVIDENCE Bruins1WXSommaire du Match
22 - 2020-05-2972COLORADO Eagles1PROVIDENCE Bruins4LSommaire du Match
24 - 2020-05-3176PROVIDENCE Bruins3COLORADO Eagles1LSommaire du Match
26 - 2020-06-0280COLORADO Eagles4PROVIDENCE Bruins1WSommaire du Match
28 - 2020-06-0484PROVIDENCE Bruins1COLORADO Eagles2WXSommaire du Match
30 - 2020-06-0686BRIDGEPORT Sound Tigers1COLORADO Eagles2WSommaire du Match
32 - 2020-06-0888BRIDGEPORT Sound Tigers3COLORADO Eagles5WSommaire du Match
34 - 2020-06-1090COLORADO Eagles0BRIDGEPORT Sound Tigers2LSommaire du Match
36 - 2020-06-1292COLORADO Eagles3BRIDGEPORT Sound Tigers4LSommaire du Match
38 - 2020-06-1494BRIDGEPORT Sound Tigers3COLORADO Eagles0LSommaire du Match
40 - 2020-06-1696COLORADO Eagles1BRIDGEPORT Sound Tigers3LSommaire du Match



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
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,635,000$ 1,635,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 2 0$ 0$




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
Séries
3251400000311-83120000026-42020000015-4236900021097243340013540468819210.53%21385.71%07213354.14%7216344.17%276144.26%10974127396229
3319109000004142-11055000002023-3954000002119220417511610141211449813814515659538136174409831315.66%801285.00%032262251.77%31267646.15%14929550.51%496340497156262128
Total Séries241113000004453-91367000002229-71156000002224-2224481125101414124595162178196596731762204971021514.71%1011585.15%039475552.19%38483945.77%17635649.44%606414624195325158