Admira Praha vs Sokol Hostouň: result 2-0 and analysis
3. liga - CFL AČFL A - 8Kick-off on September 29, 2019 at 08:15 AM (UTC)Stadion Na Pecích, Praha
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What was the result of Admira Praha vs Sokol Hostouň?
Admira Praha won 2-0 on September 29, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Admira Praha have 5 wins, 1 draws and 4 defeats; Sokol Hostouň have 3, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Benešov(away) | 3-2 | 3. liga - CFL A |
| Sep 15, 2019 | Králův Dvůr(home) | 1-0 | 3. liga - CFL A |
| Sep 7, 2019 | Jiskra Domažlice(away) | 2-4 | 3. liga - CFL A |
| Sep 4, 2019 | Hradec Králové(home) | 1-2 | Cup |
| Sep 1, 2019 | Loko Vltavín(home) | 3-2 | 3. liga - CFL A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Rakovník(home) | 4-0 | 3. liga - CFL A |
| Sep 14, 2019 | Slavia Praha II(away) | 0-4 | 3. liga - CFL A |
| Sep 8, 2019 | Písek(home) | 0-1 | 3. liga - CFL A |
| Sep 4, 2019 | Vysočina Jihlava(home) | 1-6 | Cup |
| Sep 1, 2019 | Sparta Praha II(away) | 1-6 | 3. liga - CFL A |
How many goals should we expect?
Admira Praha score 1.6 and concede 2.0 goals per match over their last 10; Sokol Hostouň score 1.2 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Admira Praha | 1.6 | 2.0 | 3 | 7/10 | 7/10 |
| Sokol Hostouň | 1.2 | 2.6 | 1 | 6/10 | 7/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Admira Praha sit 6th in 3. liga - CFL A (48 points from 32 matches) and Sokol Hostouň sit 15th (34 points from 32 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Admira Praha | 32 | 14 | 6 | 12 | 47 | 51 | 48 |
| 15 | Sokol Hostouň | 32 | 8 | 10 | 14 | 30 | 44 | 34 |
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