Tatran Rakovník vs Aritma Praha: result 1-2 and analysis
4. liga - Divizie BDivision B - 5Kick-off on September 19, 2020 at 08:15 AM (UTC)Fotbalový Stadion TJ Tatran Rakovník, Rakovník
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What was the result of Tatran Rakovník vs Aritma Praha?
Aritma Praha won 1-2 on September 19, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tatran Rakovník have 4 wins, 5 draws and 6 defeats; Aritma Praha have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | Neratovice-Byškovice(away) | 0-3 | 4. liga - Divizie B |
| Sep 6, 2020 | Olympie Březová(home) | 1-1 | 4. liga - Divizie B |
| Aug 29, 2020 | Štětí(away) | 2-0 | 4. liga - Divizie B |
| Aug 22, 2020 | Slaný(home) | 1-1 | 4. liga - Divizie B |
| Nov 16, 2019 | Louny(away) | 2-1 | 4. liga - Divizie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2020 | Dukla Praha(home) | 0-3 | Cup |
| Sep 12, 2020 | Baník Souš(home) | 0-1 | 4. liga - Divizie B |
| Sep 5, 2020 | Kladno(away) | 0-2 | 4. liga - Divizie B |
| Sep 2, 2020 | Kosmonosy(away) | 0-0 | Cup |
| Aug 29, 2020 | Dobříš(home) | 2-0 | 4. liga - Divizie B |
What does the head-to-head say?
Across the last 1 meetings: 0 Tatran Rakovník win(s), 0 draw(s), 1 Aritma Praha win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2019 | Tatran Rakovník 1-3 Aritma Praha | 4. liga - Divizie B |
Last archived meeting: Tatran Rakovník vs Aritma Praha on Sep 7, 2019
How many goals should we expect?
Tatran Rakovník score 1.4 and concede 1.7 goals per match over their last 15; Aritma Praha score 0.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tatran Rakovník | 1.4 | 1.7 | 2 | 11/15 | 9/15 |
| Aritma Praha | 0.8 | 1.2 | 4 | 6/15 | 5/15 |
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