Arsenal vs Lida: result 1-2 and analysis
1. DivisionRegular Season - 24Kick-off on November 1, 2020 at 11:00 AM (UTC)Stadyen Haradski, Dzerzhinsk
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What was the result of Arsenal vs Lida?
Lida won 1-2 on November 1, 2020.
Goalscorers
- 34′V. KarpLida
- 36′Miroslav KhlebosolovLida
- 52′Dmitri OsipenkoArsenal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal have 7 wins, 5 draws and 3 defeats; Lida have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Orsha(away) | 1-0 | 1. Division |
| Oct 21, 2020 | Naftan(away) | 1-2 | 1. Division |
| Oct 17, 2020 | Volna(home) | 3-2 | 1. Division |
| Oct 10, 2020 | Sputnik(away) | 1-2 | 1. Division |
| Oct 3, 2020 | Gorodeya(away) | 3-0 | Coppa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | NFK Minsk(home) | 2-1 | 1. Division |
| Oct 18, 2020 | Lokomotiv Gomel(away) | 3-2 | 1. Division |
| Oct 10, 2020 | FC Gomel(home) | 0-2 | 1. Division |
| Oct 3, 2020 | Khimik Svetlogorsk(away) | 1-0 | 1. Division |
| Sep 26, 2020 | Granit(home) | 2-3 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Arsenal win(s), 0 draw(s), 1 Lida win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 5, 2020 | Lida 1-0 Arsenal | 1. Division |
How many goals should we expect?
Arsenal score 1.8 and concede 1.0 goals per match over their last 15; Lida score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal | 1.8 | 1.0 | 4 | 10/15 | 8/15 |
| Lida | 1.4 | 1.7 | 4 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Lida | 21 | 12 | 3 | 6 | 40 | 34 | 39 |
| 5 | Lida | 12 | 6 | 2 | 4 | 21 | 22 | 20 |
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