Sputnik vs Molodechno-DYuSSh 4: result 1-0 and analysis
2. DivisionRegular Season - 21Kick-off on September 8, 2018 at 01:00 PM (UTC)Stadyen DYuSSh-8, Gomel
Full time
What was the result of Sputnik vs Molodechno-DYuSSh 4?
Sputnik won 1-0 on September 8, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sputnik have 9 wins, 2 draws and 4 defeats; Molodechno-DYuSSh 4 have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Kletsk(away) | 1-1 | 2. Division |
| Aug 25, 2018 | SMI Autotrans(home) | 3-1 | 2. Division |
| Aug 18, 2018 | Oshmyany(away) | 4-1 | 2. Division |
| Aug 11, 2018 | Ivatsevichi(home) | 1-0 | 2. Division |
| Aug 4, 2018 | Energosbyt-BSATU(away) | 0-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Osipovichy(home) | 2-0 | 2. Division |
| Aug 26, 2018 | NFK Minsk(away) | 1-4 | 2. Division |
| Aug 18, 2018 | Ruh Brest(home) | 1-3 | 2. Division |
| Aug 11, 2018 | Uzda(away) | 2-2 | 2. Division |
| Aug 4, 2018 | Neman-Agro(home) | 4-0 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 Sputnik win(s), 1 draw(s), 1 Molodechno-DYuSSh 4 win(s).
| Date | Score | Competition |
|---|---|---|
| May 26, 2018 | Molodechno-DYuSSh 4 0-3 Sputnik | 2. Division |
| Aug 26, 2017 | Sputnik 0-0 Molodechno-DYuSSh 4 | 2. Division |
| May 13, 2017 | Molodechno-DYuSSh 4 2-1 Sputnik | 2. Division |
Last archived meeting: Molodechno-DYuSSh 4 vs Sputnik on May 26, 2018
How many goals should we expect?
Sputnik score 2.3 and concede 0.8 goals per match over their last 15; Molodechno-DYuSSh 4 score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sputnik | 2.3 | 0.8 | 6 | 5/15 | 7/15 |
| Molodechno-DYuSSh 4 | 1.6 | 1.9 | 5 | 8/15 | 10/15 |
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