Jayxun vs BuxDu: result 5-1 and analysis
Pro League ARegular Season - 12Kick-off on July 31, 2026 at 01:15 PM (UTC)
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What was the result of Jayxun vs BuxDu?
Jayxun won 5-1 on July 31, 2026.
Goalscorers
- 16′606313Jayxun
- 47′675719Jayxun
- 57′670994BuxDu
- 61′627683Jayxun
- 78′663908Jayxun
- 82′663908Jayxun
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jayxun have 3 wins, 2 draws and 10 defeats; BuxDu have 3, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 25, 2026 | Respublika FA(away) | 2-1 | Pro League A |
| Jun 8, 2026 | Aral(home) | 1-4 | Pro League A |
| Jun 3, 2026 | Gazalkent(away) | 0-0 | Pro League A |
| May 30, 2026 | Shortan(home) | 1-2 | Pro League A |
| May 5, 2026 | Metalourg(home) | 2-0 | Pro League A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2026 | Pakhtakor II(home) | 2-0 | Pro League A |
| Jun 10, 2026 | Qiziriq(home) | 2-0 | Pro League A |
| Jun 5, 2026 | Yaypan(home) | 2-1 | Pro League A |
| May 31, 2026 | Lochin(away) | 0-4 | Pro League A |
| May 6, 2026 | FarDu(home) | 1-1 | Pro League A |
How many goals should we expect?
Jayxun score 0.9 and concede 2.1 goals per match over their last 15; BuxDu score 0.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jayxun | 0.9 | 2.1 | 4 | 6/15 | 9/15 |
| BuxDu | 0.8 | 1.9 | 2 | 4/11 | 6/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Jayxun sit 11th in Pro League A (24 points from 22 matches) and BuxDu sit 13th (10 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Jayxun | 22 | 7 | 3 | 12 | 24 | 30 | 24 |
| 13 | BuxDu | 22 | 3 | 1 | 18 | 19 | 56 | 10 |
A question about Jayxun vs BuxDu?
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