SMI Autotrans vs Uzda: result 1-2 and analysis
2. DivisionRegular Season - 15Kick-off on July 24, 2018 at 03:30 PM (UTC)Stadyen FLC Oktyabrsky, Oktyabrsky
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What was the result of SMI Autotrans vs Uzda?
Uzda won 1-2 on July 24, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SMI Autotrans have 5 wins, 3 draws and 7 defeats; Uzda have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2018 | Neman-Agro(away) | 1-1 | 2. Division |
| Jul 14, 2018 | Bumprom(home) | 2-1 | 2. Division |
| Jul 7, 2018 | Molodechno-DYuSSh 4(away) | 0-0 | 2. Division |
| Jun 30, 2018 | Kletsk(home) | 1-0 | 2. Division |
| Jun 17, 2018 | Oshmyany(away) | 0-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2018 | Oshmyany(home) | 1-3 | 2. Division |
| Jul 14, 2018 | Ivatsevichi(away) | 0-1 | 2. Division |
| Jul 7, 2018 | Energosbyt-BSATU(home) | 2-1 | 2. Division |
| Jun 30, 2018 | Gorki(away) | 2-0 | 2. Division |
| Jun 23, 2018 | Viktoriya Maryina Horka(home) | 2-1 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 SMI Autotrans win, 0 draws, 2 Uzda wins.
| Date | Score | Competition |
|---|---|---|
| Oct 28, 2017 | Uzda 3-1 SMI Autotrans | 2. Division |
| Sep 2, 2017 | Uzda 0-5 SMI Autotrans | 2. Division |
| Jul 15, 2017 | SMI Autotrans 1-4 Uzda | 2. Division |
Last archived meeting: Uzda vs SMI Autotrans on Oct 28, 2017
How many goals should we expect?
SMI Autotrans score 0.7 and concede 1.7 goals per match over their last 15; Uzda score 2.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SMI Autotrans | 0.7 | 1.7 | 5 | 4/15 | 5/15 |
| Uzda | 2.1 | 1.6 | 2 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about SMI Autotrans vs Uzda?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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