Molodechno-DYuSSh 4 vs SMI Autotrans: result 4-5 and analysis
2. DivisionMatchday 24Kick-off on October 14, 2017 at 11:00 AM (UTC)Stadyen Haradski, Molodechno
Full time
What was the result of Molodechno-DYuSSh 4 vs SMI Autotrans?
SMI Autotrans won 4-5 on October 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 6 wins, 3 draws and 6 defeats; SMI Autotrans have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | YuA-Stroy-DYuSSh(away) | 1-2 | 2. Division |
| Sep 30, 2017 | Kletsk(home) | 1-1 | 2. Division |
| Sep 23, 2017 | SDJuShOR-3(away) | 5-1 | 2. Division |
| Sep 16, 2017 | Lyuban'(home) | 8-1 | 2. Division |
| Sep 9, 2017 | Sbornaya TF(away) | 5-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | SDJuShOR-8(home) | 4-2 | 2. Division |
| 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 |
What does the head-to-head say?
In the last meeting: 1 Molodechno-DYuSSh 4 win, 0 draws, 0 SMI Autotrans wins.
| Date | Score | Competition |
|---|---|---|
| Jul 1, 2017 | SMI Autotrans 1-4 Molodechno-DYuSSh 4 | 2. Division |
Last archived meeting: SMI Autotrans vs Molodechno-DYuSSh 4 on Jul 1, 2017
How many goals should we expect?
Molodechno-DYuSSh 4 score 2.7 and concede 1.7 goals per match over their last 15; SMI Autotrans score 1.9 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 2.7 | 1.7 | 2 | 12/15 | 11/15 |
| SMI Autotrans | 1.9 | 2.9 | 2 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Molodechno-DYuSSh 4 vs SMI Autotrans?
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