ML Vitebsk vs Shakhtyor Petrikov: result 1-0 and analysis
1. DivisionRegular Season - 5Kick-off on May 9, 2022 at 10:00 AM (UTC)Stadyen DYuSSh-1, Rohachev
Full time
What was the result of ML Vitebsk vs Shakhtyor Petrikov?
ML Vitebsk won 1-0 on May 9, 2022.
Goalscorers
- 74′Sergey MelnikML Vitebsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, ML Vitebsk have 10 wins, 2 draws and 3 defeats; Shakhtyor Petrikov have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Baranovichi(away) | 1-0 | 1. Division |
| Apr 22, 2022 | Lokomotiv Gomel(home) | 0-0 | 1. Division |
| Apr 16, 2022 | Slonim(away) | 1-0 | 1. Division |
| Apr 9, 2022 | Volna(away) | 2-3 | 1. Division |
| Oct 24, 2020 | Meliorator Zhitkovichi(home) | 3-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Smorgon(home) | 4-0 | 1. Division |
| Apr 23, 2022 | Orsha(away) | 9-1 | 1. Division |
| Apr 17, 2022 | Osipovichy(home) | 4-2 | 1. Division |
| Apr 9, 2022 | Naftan(away) | 1-1 | 1. Division |
| Mar 5, 2022 | Volna(away) | 2-3 | Friendlies Clubs |
What does the head-to-head say?
Across the last 2 meetings: 0 ML Vitebsk win(s), 0 draw(s), 2 Shakhtyor Petrikov win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 5, 2020 | Shakhtyor Petrikov 3-0 ML Vitebsk | 2. Division |
| Aug 26, 2020 | ML Vitebsk 0-4 Shakhtyor Petrikov | 2. Division |
Last archived meeting: Shakhtyor Petrikov vs ML Vitebsk on Sep 5, 2020
How many goals should we expect?
ML Vitebsk score 2.7 and concede 1.5 goals per match over their last 15; Shakhtyor Petrikov score 2.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ML Vitebsk | 2.7 | 1.5 | 4 | 9/15 | 11/15 |
| Shakhtyor Petrikov | 2.5 | 1.4 | 5 | 10/15 | 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