Olimpik-Mobiuz vs Respublika FA: result 2-1 and analysis
Pro League ARegular Season - 4Kick-off on April 21, 2026 at 01:00 PM (UTC)
Full time
What was the result of Olimpik-Mobiuz vs Respublika FA?
Olimpik-Mobiuz won 2-1 on April 21, 2026.
Goalscorers
- 13′Saidkhon KhamidovRespublika FA (o.g.)
- 83′Jurabek JuraevOlimpik-Mobiuz
- 85′606327Olimpik-Mobiuz
What is the recent form of both teams?
Over their last 15 matches in all competitions, Olimpik-Mobiuz have 6 wins, 3 draws and 6 defeats; Respublika FA have 1, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2026 | Aral(away) | 0-1 | Pro League A |
| Apr 10, 2026 | Gazalkent(home) | 2-2 | Pro League A |
| Apr 5, 2026 | Shortan(away) | 0-1 | Pro League A |
| Nov 9, 2025 | Jayxun(home) | 4-0 | Pro League A |
| Nov 5, 2025 | Lokomotiv(home) | 1-1 | Pro League A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2026 | BuxDu(home) | 1-0 | Pro League A |
| Apr 10, 2026 | Metalourg(away) | 1-1 | Pro League A |
| Apr 5, 2026 | Aral(away) | 1-2 | Pro League A |
How many goals should we expect?
Olimpik-Mobiuz score 1.7 and concede 1.2 goals per match over their last 15; Respublika FA score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olimpik-Mobiuz | 1.7 | 1.2 | 4 | 9/15 | 9/15 |
| Respublika FA | 1.0 | 1.0 | 1 | 2/3 | 1/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Olimpik-Mobiuz sit 6th in Pro League A (42 points from 24 matches) and Respublika FA sit 9th (31 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Olimpik-Mobiuz | 24 | 12 | 6 | 6 | 48 | 29 | 42 |
| 9 | Respublika FA | 25 | 8 | 7 | 10 | 34 | 36 | 31 |
A question about Olimpik-Mobiuz vs Respublika FA?
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