Manila Digger vs Dewa United: result 1-0 and analysis
AFC Challenge LeagueQuarter-finalsKick-off on March 5, 2026 at 12:30 PM (UTC)
Full time
What was the result of Manila Digger vs Dewa United?
Manila Digger won 1-0 on March 5, 2026.
Goalscorers
- 21′K. NishiokaManila Digger
Official lineup for Manila Digger vs Dewa United
The starting elevens fielded at kick-off.
Manila Digger
- 11B. Touray
- 21D. Tafem
- 4A. Badjie
- 12M. Manneh
- 14K. Nishioka
- 15P. O. Gai
- 5M. Joof
- 6D. Ashley
- 22Z. Taningco
- 91D. Sambou
- 16O. Njie
Dewa United
- 39Alex
- 8Jaja
- 11T. Marukawa
- 18I. Jenner
- 19R. Kambuaya
- 28A. Messidoro
- 4Johnatan
- 14B. Fatari
- 17D. Lowe
- 97E. Febriansah
- 92S. Stevens
What is the recent form of both teams?
Over their last 15 matches in all competitions, Manila Digger have 11 wins, 4 draws and 0 defeats; Dewa United have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2026 | Kaya(home) | 1-0 | PFL |
| Feb 25, 2026 | Garelli United(home) | 6-1 | PFL |
| Feb 11, 2026 | Mendiola(home) | 12-0 | PFL |
| Jan 17, 2026 | Davao Aguilas(away) | 0-0 | PFL |
| Nov 29, 2025 | Philippine Army(away) | 8-0 | PFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2026 | Bhayangkara FC(home) | 0-2 | Liga 1 |
| Feb 26, 2026 | Persita(away) | 1-0 | Liga 1 |
| Feb 22, 2026 | Pusamania Borneo(home) | 2-1 | Liga 1 |
| Feb 14, 2026 | PSM Makassar(away) | 2-0 | Liga 1 |
| Feb 7, 2026 | Persik Kediri(away) | 1-2 | Liga 1 |
How many goals should we expect?
Manila Digger score 3.9 and concede 0.8 goals per match over their last 15; Dewa United score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Manila Digger | 3.9 | 0.8 | 7 | 8/15 | 8/15 |
| Dewa United | 1.2 | 0.9 | 6 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
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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