Jayxun vs Metalourg: result 2-0 and analysis
Pro League AMatchday 7Kick-off on May 5, 2026 at 12:00 PM (UTC)
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What was the result of Jayxun vs Metalourg?
Jayxun won 2-0 on May 5, 2026.
Goalscorers
- 34′659507Jayxun
- 57′606320Jayxun
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jayxun have 3 wins, 1 draw and 11 defeats; Metalourg have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2026 | Pakhtakor II(away) | 3-0 | Pro League A |
| Apr 25, 2026 | Qiziriq(home) | 0-0 | Pro League A |
| Apr 20, 2026 | Yaypan(away) | 0-2 | Pro League A |
| Apr 16, 2026 | Lochin(home) | 0-2 | Pro League A |
| Apr 12, 2026 | FarDu(away) | 0-4 | Pro League A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2026 | Olimpik-Mobiuz(home) | 1-1 | Pro League A |
| Apr 25, 2026 | Pakhtakor II(away) | 5-0 | Pro League A |
| Apr 20, 2026 | BuxDu(home) | 3-0 | Pro League A |
| Apr 15, 2026 | Qiziriq(home) | 3-1 | Pro League A |
| Apr 10, 2026 | Respublika FA(home) | 1-1 | Pro League A |
How many goals should we expect?
Jayxun score 1.1 and concede 2.6 goals per match over their last 15; Metalourg score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jayxun | 1.1 | 2.6 | 2 | 7/15 | 11/15 |
| Metalourg | 1.5 | 0.7 | 4 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Jayxun sit 10th in Pro League A (28 points from 26 matches) and Metalourg sit 3rd (52 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Metalourg | 26 | 15 | 7 | 4 | 55 | 20 | 52 |
| 10 | Jayxun | 26 | 8 | 4 | 14 | 29 | 39 | 28 |
A question about Jayxun vs Metalourg?
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