Belshina vs Arsenal: result 0-3 and analysis
1. DivisionRegular Season - 28Kick-off on October 24, 2021 at 10:00 AM (UTC)Stadyen Spartak, Shklov
Full time
What was the result of Belshina vs Arsenal?
Arsenal won 0-3 on October 24, 2021.
Goalscorers
- 25′Dmitri OsipenkoArsenal
- 45′N. PatskoArsenal
- 90′A. KiykoArsenal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Belshina have 10 wins, 2 draws and 3 defeats; Arsenal have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | NFK Minsk(away) | 3-1 | 1. Division |
| Oct 10, 2021 | Slonim(home) | 4-0 | 1. Division |
| Oct 2, 2021 | FC Dnepr Mogilev(away) | 1-3 | 1. Division |
| Sep 25, 2021 | Naftan(home) | 4-0 | 1. Division |
| Sep 19, 2021 | Volna(home) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2021 | NFK Minsk(home) | 0-2 | 1. Division |
| Oct 16, 2021 | Baranovichi(home) | 2-0 | 1. Division |
| Oct 10, 2021 | Khimki(away) | 2-2 | Friendlies Clubs |
| Oct 9, 2021 | Lida(away) | 1-0 | 1. Division |
| Oct 3, 2021 | Orsha(home) | 3-2 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Belshina win(s), 0 draw(s), 1 Arsenal win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2021 | Arsenal 4-1 Belshina | 1. Division |
| May 16, 2021 | Belshina 2-0 Arsenal | 1. Division |
How many goals should we expect?
Belshina score 2.3 and concede 1.1 goals per match over their last 15; Arsenal score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belshina | 2.3 | 1.1 | 6 | 9/15 | 11/15 |
| Arsenal | 1.9 | 0.7 | 8 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Belshina | 34 | 19 | 6 | 9 | 64 | 40 | 63 |
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