Uzda vs SMI Autotrans: result 0-5 and analysis
2. DivisionRegular Season - 18Kick-off on September 2, 2017 at 01:00 PM (UTC)Stadyen Belita-Vitex, Teplen'
Full time
What was the result of Uzda vs SMI Autotrans?
SMI Autotrans won 0-5 on September 2, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Uzda have 5 wins, 3 draws and 7 defeats; SMI Autotrans have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2017 | Energosbyt-BSATU(away) | 2-2 | 2. Division |
| Aug 19, 2017 | SDJuShOR-8(away) | 3-4 | 2. Division |
| Aug 12, 2017 | Viktoriya Maryina Horka(home) | 1-3 | 2. Division |
| Aug 5, 2017 | Molodechno-DYuSSh 4(away) | 1-1 | 2. Division |
| Jul 19, 2017 | YuA-Stroy-DYuSSh(home) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2017 | Oshmyany(away) | 0-7 | 2. Division |
| Aug 19, 2017 | Sputnik(home) | 0-3 | 2. Division |
| Aug 12, 2017 | Čist́(away) | 0-1 | 2. Division |
| Aug 5, 2017 | Energosbyt-BSATU(home) | 4-2 | 2. Division |
| Jul 15, 2017 | Uzda(home) | 1-4 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Uzda win, 0 draws, 0 SMI Autotrans wins.
| Date | Score | Competition |
|---|---|---|
| Jul 15, 2017 | SMI Autotrans 1-4 Uzda | 2. Division |
Last archived meeting: SMI Autotrans vs Uzda on Jul 15, 2017
How many goals should we expect?
Uzda score 2.1 and concede 2.3 goals per match over their last 15; SMI Autotrans score 1.5 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Uzda | 2.1 | 2.3 | 3 | 12/15 | 12/15 |
| SMI Autotrans | 1.5 | 2.7 | 4 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Uzda vs SMI Autotrans?
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