Arsenal vs ML Vitebsk: result 1-4 and analysis
1. DivisionRegular Season - 32Kick-off on November 11, 2023 at 10:00 AM (UTC)Stadyen RTsOP-BGU, Minsk
Full time
What was the result of Arsenal vs ML Vitebsk?
ML Vitebsk won 1-4 on November 11, 2023.
Goalscorers
- 24′R. KhadzhievML Vitebsk
- 31′I. GrudkoML Vitebsk (pen.)
- 36′M. GerasimovArsenal
- 68′N. IvanovML Vitebsk
- 74′E. SakutaML Vitebsk (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal have 13 wins, 0 draws and 2 defeats; ML Vitebsk have 10, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2023 | Slonim(away) | 5-1 | 1. Division |
| Oct 28, 2023 | Baranovichi(home) | 3-0 | 1. Division |
| Oct 22, 2023 | Lokomotiv Gomel(away) | 3-1 | 1. Division |
| Oct 7, 2023 | Lida(home) | 7-2 | 1. Division |
| Oct 1, 2023 | FC Dnepr Mogilev(away) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2023 | Lida(home) | 1-0 | 1. Division |
| Oct 29, 2023 | FC Dnepr Mogilev(away) | 1-2 | 1. Division |
| Oct 21, 2023 | Niva(home) | 6-3 | 1. Division |
| Oct 14, 2023 | Zhodino Yuzhnoe(away) | 1-4 | 1. Division |
| Oct 7, 2023 | FC Vitebsk(home) | 0-4 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 1 Arsenal win(s), 1 draw(s), 1 ML Vitebsk win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 9, 2023 | ML Vitebsk 2-2 Arsenal | 1. Division |
| Nov 20, 2022 | ML Vitebsk 3-1 Arsenal | Premier League |
| Nov 16, 2022 | Arsenal 3-2 ML Vitebsk | Premier League |
How many goals should we expect?
Arsenal score 2.6 and concede 0.7 goals per match over their last 15; ML Vitebsk score 2.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal | 2.6 | 0.7 | 6 | 7/15 | 9/15 |
| ML Vitebsk | 2.7 | 1.9 | 3 | 11/15 | 13/15 |
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