Arsenal vs Smorgon: result 1-0 and analysis
1. DivisionRegular Season - 26Kick-off on November 21, 2020 at 11:00 AM (UTC)Stadyen Haradski, Dzerzhinsk
Full time
What was the result of Arsenal vs Smorgon?
Arsenal won 1-0 on November 21, 2020.
Goalscorers
- 17′A. KiykoArsenal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal have 8 wins, 4 draws and 3 defeats; Smorgon have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2020 | Oshmyany(away) | 4-2 | 1. Division |
| Nov 8, 2020 | Slonim(away) | 1-0 | 1. Division |
| Nov 1, 2020 | Lida(home) | 1-2 | 1. Division |
| Oct 25, 2020 | Orsha(away) | 1-0 | 1. Division |
| Oct 21, 2020 | Naftan(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2020 | Sputnik(home) | 2-1 | 1. Division |
| Nov 8, 2020 | NFK Minsk(home) | 1-3 | 1. Division |
| Nov 4, 2020 | Naftan(home) | 1-0 | 1. Division |
| Oct 31, 2020 | Lokomotiv Gomel(away) | 1-2 | 1. Division |
| Oct 24, 2020 | FC Gomel(home) | 1-3 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Arsenal win(s), 1 draw(s), 0 Smorgon win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 18, 2020 | Smorgon 1-1 Arsenal | 1. Division |
How many goals should we expect?
Arsenal score 1.9 and concede 1.1 goals per match over their last 15; Smorgon score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal | 1.9 | 1.1 | 5 | 10/15 | 9/15 |
| Smorgon | 1.3 | 1.4 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Smorgon | 21 | 6 | 5 | 10 | 24 | 30 | 23 |
| 16 | Smorgon | 12 | 2 | 4 | 6 | 14 | 20 | 10 |
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