Neftchi Fargona — AGMK
☆ Save matchModel prediction for 8 November
In short
Neftchi Fargona are clear favourites: 62% against 16% for the opponent, draw 22%.
The model expects plenty of goals: 3.5 in total, against a competition average of 2.6.
Over 2.5 goals — 67%, both teams to score — 63%.
Why
- By the strength ratings Neftchi Fargona are about 0.5 goals per match stronger.
- Neftchi Fargona are 204 points higher on Elo.
Facts
- League table: Neftchi Fargona — No. 1, 58 pts; AGMK — No. 4, 45 pts. A gap of 13 pts.
- Neftchi Fargona: unbeaten in 5; AGMK: 3 wins in a row.
Probabilities
| Expected goals: Neftchi Fargona — AGMK What is xG? | 2.3–1.1 | |
| Neftchi Fargona not to lose | 84% | |
| AGMK not to lose | 38% | |
| No draw | 78% | |
| Both teams to score: yes | 63% | |
| Both teams to score: no | 37% | |
| Total over 2.5 | 67% | |
| Total under 2.5 | 33% |
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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Handicap Neftchi Fargona
- Neftchi Fargona goals
- AGMK goals
- Corners and cards
- Full score grid
Team news
Form
- 23.10away · Pakhtakor Tashkent3:1
- 16.10away · Kokand 19124:2
- 07.10Xorazm2:2
- 20.09away · Lokomotiv Tashkent1:0
- 09.09Surkhon-20112:1
- 01.11away · Lokomotiv Tashkent2:1
- 25.10Kokand 19122:1
- 15.10away · Mashal Muborak1:0
- 11.10Navbahor Namangan2:2
- 20.09away · Sogdiana2:1
Head to head
- 03.05.2026AGMK — Neftchi Fargona0:0
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 1 | Neftchi Fargona | 25 | 18 | +37 | 58 |
| 2 | Pakhtakor Tashkent | 26 | 16 | +20 | 56 |
| 3 | Navbahor Namangan | 26 | 15 | +20 | 52 |
| 4 | AGMK | 26 | 13 | +5 | 45 |
| 5 | Nasaf Qarshi | 26 | 11 | +14 | 42 |
Uzbekistan Super League on the same day
- 3330372The model's most likely outcome: 2Model's score: 0:22.7
- 6323131The model's most likely outcome: 1Model's score: 3:02.8
This is the model’s statistical estimate, not a recommendation. An outcome at 62% will not happen in roughly 38 matches out of 100. How to read probabilities →