SMI Autotrans vs SDJuShOR-8: result 4-2 and analysis
2. DivisionRegular Season - 23Kick-off on October 7, 2017 at 09:00 AM (UTC)Stadyen FLC Oktyabrsky, Oktyabrsky
Full time
What was the result of SMI Autotrans vs SDJuShOR-8?
SMI Autotrans won 4-2 on October 7, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SMI Autotrans have 4 wins, 1 draw and 10 defeats; SDJuShOR-8 have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Oshmyany(home) | 1-3 | 2. Division |
| Sep 23, 2017 | Kletsk(away) | 2-2 | 2. Division |
| Sep 16, 2017 | SDJuShOR-3(home) | 5-2 | 2. Division |
| Sep 9, 2017 | Lyuban'(away) | 2-0 | 2. Division |
| Sep 2, 2017 | Uzda(away) | 5-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Sputnik(home) | 1-5 | 2. Division |
| Sep 23, 2017 | YuA-Stroy-DYuSSh(away) | 0-7 | 2. Division |
| Sep 16, 2017 | Čist́(home) | 0-2 | 2. Division |
| Sep 9, 2017 | Kletsk(away) | 1-9 | 2. Division |
| Sep 5, 2017 | Energosbyt-BSATU(home) | 1-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 SMI Autotrans wins, 0 draws, 1 SDJuShOR-8 win.
| Date | Score | Competition |
|---|---|---|
| Jun 24, 2017 | SDJuShOR-8 5-2 SMI Autotrans | 2. Division |
Last archived meeting: SDJuShOR-8 vs SMI Autotrans on Jun 24, 2017
How many goals should we expect?
SMI Autotrans score 1.7 and concede 3.1 goals per match over their last 15; SDJuShOR-8 score 1.1 and concede 4.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SMI Autotrans | 1.7 | 3.1 | 2 | 9/15 | 12/15 |
| SDJuShOR-8 | 1.1 | 4.3 | 0 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about SMI Autotrans vs SDJuShOR-8?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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