Sputnik vs Molodechno-DYuSSh 4: result 0-0 and analysis
2. DivisionRegular Season - 17Kick-off on August 26, 2017 at 03:00 PM (UTC)Stadyen DYuSSh-8, Gomel
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What was the result of Sputnik vs Molodechno-DYuSSh 4?
Sputnik and Molodechno-DYuSSh 4 drew 0-0 on August 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sputnik have 8 wins, 3 draws and 4 defeats; Molodechno-DYuSSh 4 have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | SMI Autotrans(away) | 3-0 | 2. Division |
| Aug 12, 2017 | YuA-Stroy-DYuSSh(away) | 0-2 | 2. Division |
| Aug 5, 2017 | Kletsk(away) | 5-1 | 2. Division |
| Jul 15, 2017 | SDJuShOR-3(away) | 6-1 | 2. Division |
| Jul 8, 2017 | Lyuban'(home) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Čist́(home) | 2-4 | 2. Division |
| Aug 12, 2017 | Energosbyt-BSATU(home) | 3-1 | 2. Division |
| Aug 5, 2017 | Uzda(home) | 1-1 | 2. Division |
| Jul 15, 2017 | Viktoriya Maryina Horka(home) | 1-2 | 2. Division |
| Jul 11, 2017 | SDJuShOR-8(away) | 5-0 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Sputnik wins, 0 draws, 1 Molodechno-DYuSSh 4 win.
| Date | Score | Competition |
|---|---|---|
| May 13, 2017 | Molodechno-DYuSSh 4 2-1 Sputnik | 2. Division |
Last archived meeting: Molodechno-DYuSSh 4 vs Sputnik on May 13, 2017
How many goals should we expect?
Sputnik score 2.2 and concede 1.1 goals per match over their last 15; Molodechno-DYuSSh 4 score 2.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sputnik | 2.2 | 1.1 | 4 | 8/15 | 8/15 |
| Molodechno-DYuSSh 4 | 2.2 | 1.3 | 4 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Sputnik vs Molodechno-DYuSSh 4?
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