AFC Uttara vs Fortis: result 0-1 and analysis
Premier LeagueRegular Season - 3Kick-off on December 31, 2022 at 08:30 AM (UTC)Mymensingh Stadium, Mymensingh
Full time
What was the result of AFC Uttara vs Fortis?
Fortis won 0-1 on December 31, 2022.
Goalscorers
- 29′S. RonyFortis
Official lineup for AFC Uttara vs Fortis
The starting elevens fielded at kick-off.
AFC Uttara
- 10S. Nipu
- 19A. Akash
- 20N. Noyon
- 8M. Tofel
- 14S. Ruhel
- 18Jabed Ahmed
- 21S. Momunov
- 3M. Ganto
- 4I. Shakil
- 27M. Miah
- 30M. Razib
Fortis
- 10Luiz Júnior
- 11S. Rony
- 5Thiago Bonfim
- 17M. Rahman Jony
- 19T. Islam
- 23D. Alam
- 2S. Mia
- 3A. Islam
- 4Danilo Quipapá
- 44Mohamed Sabuz Hossain
- 30M. Marma
What is the recent form of both teams?
Over their last 2 matches in all competitions, AFC Uttara have 0 wins, 0 draws and 2 defeats; Fortis have 0, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 20, 2022 | Sheikh Jamal(home) | 0-3 | Federation Cup |
| Dec 9, 2022 | Bashundhara Kings(away) | 0-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 27, 2022 | Bashundhara Kings(away) | 0-2 | Federation Cup |
| Dec 23, 2022 | Bashundhara Kings(home) | 0-2 | Premier League |
| Dec 9, 2022 | Abahani(away) | 1-1 | Premier League |
How many goals should we expect?
AFC Uttara score 0.0 and concede 3.0 goals per match over their last 2; Fortis score 0.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AFC Uttara | 0.0 | 3.0 | 0 | 0/2 | 2/2 |
| Fortis | 0.3 | 1.7 | 0 | 1/3 | 0/3 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Fortis | 18 | 10 | 5 | 3 | 31 | 13 | 35 |
A question about AFC Uttara vs Fortis?
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