Molodechno-DYuSSh 4 vs SDJuShOR-8: result 6-1 and analysis
2. DivisionRegular Season - 25Kick-off on October 21, 2017 at 11:00 AM (UTC)Stadyen Haradski, Molodechno
Full time
What was the result of Molodechno-DYuSSh 4 vs SDJuShOR-8?
Molodechno-DYuSSh 4 won 6-1 on October 21, 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; 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 |
|---|---|---|---|
| Oct 14, 2017 | SMI Autotrans(home) | 4-5 | 2. Division |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Oshmyany(home) | 0-4 | 2. Division |
| Oct 7, 2017 | SMI Autotrans(away) | 2-4 | 2. Division |
| 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 |
What does the head-to-head say?
In the last meeting: 1 Molodechno-DYuSSh 4 win, 0 draws, 0 SDJuShOR-8 wins.
| Date | Score | Competition |
|---|---|---|
| Jul 11, 2017 | SDJuShOR-8 0-5 Molodechno-DYuSSh 4 | 2. Division |
Last archived meeting: SDJuShOR-8 vs Molodechno-DYuSSh 4 on Jul 11, 2017
How many goals should we expect?
Molodechno-DYuSSh 4 score 2.9 and concede 1.8 goals per match over their last 15; SDJuShOR-8 score 1.3 and concede 4.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 2.9 | 1.8 | 2 | 12/15 | 11/15 |
| SDJuShOR-8 | 1.3 | 4.5 | 0 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Molodechno-DYuSSh 4 vs SDJuShOR-8?
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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