SMI Autotrans vs Osipovichy: result 2-1 and analysis
2. DivisionRegular Season - 27Kick-off on October 26, 2019 at 09:00 AM (UTC)Stadyen FLC Oktyabrsky, Oktyabrsky
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What was the result of SMI Autotrans vs Osipovichy?
SMI Autotrans won 2-1 on October 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SMI Autotrans have 5 wins, 2 draws and 8 defeats; Osipovichy have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Uzda(away) | 2-2 | 2. Division |
| Oct 12, 2019 | Oshmyany(home) | 1-4 | 2. Division |
| Oct 5, 2019 | Čist́(away) | 3-3 | 2. Division |
| Sep 28, 2019 | DYuSSh-3 Pinsk(home) | 4-2 | 2. Division |
| Sep 21, 2019 | Belshina II(away) | 3-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Molodechno-DYuSSh 4(home) | 1-4 | 2. Division |
| Oct 12, 2019 | Neman-Agro(away) | 2-4 | 2. Division |
| Oct 5, 2019 | Viktoriya Maryina Horka(away) | 0-0 | 2. Division |
| Sep 28, 2019 | Ivatsevichi(away) | 3-4 | 2. Division |
| Sep 14, 2019 | Uzda(home) | 1-0 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 SMI Autotrans win(s), 1 draw(s), 1 Osipovichy win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 6, 2019 | Osipovichy 1-0 SMI Autotrans | 2. Division |
| Aug 18, 2018 | SMI Autotrans 3-2 Osipovichy | 2. Division |
| Apr 29, 2018 | Osipovichy 1-1 SMI Autotrans | 2. Division |
Last archived meeting: Osipovichy vs SMI Autotrans on Jul 6, 2019
How many goals should we expect?
SMI Autotrans score 1.9 and concede 2.5 goals per match over their last 15; Osipovichy score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SMI Autotrans | 1.9 | 2.5 | 1 | 13/15 | 13/15 |
| Osipovichy | 1.1 | 2.1 | 4 | 7/15 | 8/15 |
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