Loko Vltavín vs Motorlet Praha: result 2-1 and analysis
3. liga - CFL AČFL A - 12Kick-off on October 26, 2019 at 08:15 AM (UTC)Stadion na Plynárně, Praha
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What was the result of Loko Vltavín vs Motorlet Praha?
Loko Vltavín won 2-1 on October 26, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Loko Vltavín have 8 wins, 1 draws and 5 defeats; Motorlet Praha have 6, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Příbram II(away) | 1-0 | 3. liga - CFL A |
| Oct 12, 2019 | Karlovy Vary(home) | 3-0 | 3. liga - CFL A |
| Oct 6, 2019 | Sokol Hostouň(away) | 2-0 | 3. liga - CFL A |
| Sep 28, 2019 | Benešov(home) | 2-0 | 3. liga - CFL A |
| Sep 25, 2019 | České Budějovice(home) | 1-4 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Admira Praha(home) | 1-0 | 3. liga - CFL A |
| Oct 12, 2019 | Rakovník(away) | 4-0 | 3. liga - CFL A |
| Oct 5, 2019 | Slavia Praha II(home) | 2-1 | 3. liga - CFL A |
| Sep 28, 2019 | Písek(away) | 0-3 | 3. liga - CFL A |
| Sep 21, 2019 | Sparta Praha II(home) | 2-3 | 3. liga - CFL A |
How many goals should we expect?
Loko Vltavín score 1.6 and concede 1.4 goals per match over their last 14; Motorlet Praha score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Loko Vltavín | 1.6 | 1.4 | 7 | 6/14 | 7/14 |
| Motorlet Praha | 1.6 | 1.6 | 6 | 5/14 | 9/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Loko Vltavín sit 10th in 3. liga - CFL A (44 points from 32 matches) and Motorlet Praha sit 14th (34 points from 32 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Loko Vltavín | 32 | 13 | 5 | 14 | 35 | 43 | 44 |
| 14 | Motorlet Praha | 32 | 8 | 10 | 14 | 32 | 45 | 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