SMI Autotrans vs Gorki: result 1-1 and analysis
2. DivisionRegular Season - 5Kick-off on May 18, 2019 at 01:00 PM (UTC)Stadyen FLC Oktyabrsky, Oktyabrsky
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What was the result of SMI Autotrans vs Gorki?
SMI Autotrans and Gorki drew 1-1 on May 18, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SMI Autotrans have 5 wins, 1 draw and 9 defeats; Gorki have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2019 | Energosbyt-BSATU(away) | 1-3 | 2. Division |
| May 5, 2019 | Kletsk(home) | 2-1 | 2. Division |
| Apr 20, 2019 | Molodechno-DYuSSh 4(away) | 1-5 | 2. Division |
| Nov 10, 2018 | Uzda(away) | 1-6 | 2. Division |
| Nov 3, 2018 | Neman-Agro(home) | 2-7 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2019 | Molodechno-DYuSSh 4(home) | 1-2 | 2. Division |
| May 5, 2019 | Neman-Agro(away) | 2-2 | 2. Division |
| Apr 27, 2019 | Viktoriya Maryina Horka(home) | 0-0 | 2. Division |
| Apr 20, 2019 | Ivatsevichi(away) | 1-3 | 2. Division |
| Nov 10, 2018 | Sputnik(away) | 0-8 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 SMI Autotrans wins, 0 draws, 0 Gorki wins.
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2018 | Gorki 0-2 SMI Autotrans | 2. Division |
| May 26, 2018 | SMI Autotrans 2-0 Gorki | 2. Division |
Last archived meeting: Gorki vs SMI Autotrans on Sep 8, 2018
How many goals should we expect?
SMI Autotrans score 1.6 and concede 2.9 goals per match over their last 15; Gorki score 1.5 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SMI Autotrans | 1.6 | 2.9 | 2 | 11/15 | 11/15 |
| Gorki | 1.5 | 2.5 | 3 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about SMI Autotrans vs Gorki?
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