Čist́ vs SMI Autotrans: result 3-3 and analysis
2. DivisionRegular Season - 24Kick-off on October 5, 2019 at 11:00 AM (UTC)Stadyen Škol'nyj, Chist'
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What was the result of Čist́ vs SMI Autotrans?
Čist́ and SMI Autotrans drew 3-3 on October 5, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Čist́ have 8 wins, 2 draws and 5 defeats; SMI Autotrans have 6, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Molodechno-DYuSSh 4(away) | 0-2 | 2. Division |
| Sep 21, 2019 | Neman-Agro(home) | 4-0 | 2. Division |
| Sep 14, 2019 | Viktoriya Maryina Horka(away) | 2-1 | 2. Division |
| Sep 7, 2019 | Ivatsevichi(home) | 3-0 | 2. Division |
| Aug 31, 2019 | Osipovichy(away) | 2-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | DYuSSh-3 Pinsk(home) | 4-2 | 2. Division |
| Sep 21, 2019 | Belshina II(away) | 3-1 | 2. Division |
| Sep 14, 2019 | Arsenal(home) | 1-5 | 2. Division |
| Sep 7, 2019 | Gorki(away) | 3-4 | 2. Division |
| Aug 31, 2019 | Energosbyt-BSATU(home) | 1-2 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 2 Čist́ win(s), 0 draw(s), 1 SMI Autotrans win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 15, 2019 | SMI Autotrans 3-2 Čist́ | 2. Division |
| Aug 12, 2017 | Čist́ 1-0 SMI Autotrans | 2. Division |
| Apr 30, 2017 | SMI Autotrans 1-3 Čist́ | 2. Division |
Last archived meeting: SMI Autotrans vs Čist́ on Jun 15, 2019
How many goals should we expect?
Čist́ score 2.5 and concede 1.1 goals per match over their last 15; SMI Autotrans score 1.8 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Čist́ | 2.5 | 1.1 | 6 | 6/15 | 12/15 |
| SMI Autotrans | 1.8 | 2.7 | 1 | 12/15 | 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