SMI Autotrans vs Uzda: result 1-3 and analysis
2. DivisionRegular Season - 11Kick-off on June 29, 2019 at 09:00 AM (UTC)Stadyen FLC Oktyabrsky, Oktyabrsky
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What was the result of SMI Autotrans vs Uzda?
Uzda won 1-3 on June 29, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SMI Autotrans have 4 wins, 3 draws and 8 defeats; Uzda have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2019 | Oshmyany(away) | 1-5 | 2. Division |
| Jun 15, 2019 | Čist́(home) | 3-2 | 2. Division |
| Jun 12, 2019 | Smorgon(home) | 0-6 | Coppa |
| Jun 8, 2019 | DYuSSh-3 Pinsk(away) | 1-2 | 2. Division |
| Jun 1, 2019 | Belshina II(home) | 1-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2019 | Molodechno-DYuSSh 4(home) | 2-1 | 2. Division |
| Jun 15, 2019 | Neman-Agro(away) | 8-0 | 2. Division |
| Jun 12, 2019 | Belshina(home) | 1-2 | Coppa |
| Jun 8, 2019 | Viktoriya Maryina Horka(home) | 8-1 | 2. Division |
| Jun 1, 2019 | Ivatsevichi(away) | 0-3 | 2. Division |
What does the head-to-head say?
Across the last 5 meetings: 1 SMI Autotrans win(s), 0 draw(s), 4 Uzda win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2018 | Uzda 6-1 SMI Autotrans | 2. Division |
| Jul 24, 2018 | SMI Autotrans 1-2 Uzda | 2. Division |
| 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 Nov 10, 2018
How many goals should we expect?
SMI Autotrans score 1.5 and concede 3.3 goals per match over their last 15; Uzda score 2.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SMI Autotrans | 1.5 | 3.3 | 1 | 12/15 | 12/15 |
| Uzda | 2.9 | 1.1 | 4 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy