Erchim vs NagaWorld: result 1-0 and analysis
AFC Champions League TwoQualification Round - 3Kick-off on August 25, 2016 at 09:00 AM (UTC)Erchim Club Football Pitch, Ulaanbaatar
Full time
What was the result of Erchim vs NagaWorld?
Erchim won 1-0 on August 25, 2016.
Goalscorers
- 90′Davaajav BatturErchim
Official lineup for Erchim vs NagaWorld
The starting elevens fielded at kick-off.
Erchim
- 10Munkh-Erdene Tuguldur
- 12Davaajav Battur
- 14C. Enkhbayar
- 4M. Perišić
- 6A. Batchuluun
- 11Batbilguun Ganbaatar
- 16Sundorj Janchiv
- 29Nikola Duricic
- 8Enkhjargal Tserenjavyn
- 27Galt Tuguldur
- 1Ariunbold Batsaikhan
NagaWorld
- 7Khim Borey
- 16Matnorotin Sary
- 6Sos Suhana
- 8Tum Saray
- 9Prak Chanrathana
- 17Darapich Thorn
- 19Chheng Meng
- 5Sok Rithy
- 26Nhim Sovannara
- 29Ngoy Srin
- 1Sokundara Som
What is the recent form of both teams?
In their last match in all competitions, Erchim have 0 wins, 0 draws and 1 defeat; NagaWorld have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2016 | Three Star(away) | 0-2 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2016 | Three Star(home) | 1-1 | AFC Champions League Two |
| Aug 13, 2016 | United CMAC(home) | 4-1 | C-League |
| Aug 7, 2016 | Boeung Ket(away) | 0-0 | C-League |
| Aug 1, 2016 | Asia Euro United(home) | 5-1 | C-League |
| Jul 17, 2016 | Svay Rieng(home) | 2-1 | C-League |
How many goals should we expect?
Erchim score 0.0 and concede 2.0 goals per match in their last match; NagaWorld score 1.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Erchim | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
| NagaWorld | 1.8 | 0.9 | 4 | 11/15 | 8/15 |
Over the last match in all competitions.
A question about Erchim vs NagaWorld?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy