Sigma Olomouc II vs Zlín II: result 3-1 and analysis
3. liga - MSFLMSFL - 10Kick-off on October 6, 2019 at 08:15 AM (UTC)Andrův stadion, Olomouc
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What was the result of Sigma Olomouc II vs Zlín II?
Sigma Olomouc II won 3-1 on October 6, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Sigma Olomouc II have 6 wins, 1 draws and 3 defeats; Zlín II 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 29, 2019 | Baník Ostrava II(away) | 2-1 | 3. liga - MSFL |
| Sep 22, 2019 | Vyškov(home) | 1-1 | 3. liga - MSFL |
| Sep 15, 2019 | Blansko(away) | 1-3 | 3. liga - MSFL |
| Sep 7, 2019 | Vrchovina(home) | 1-0 | 3. liga - MSFL |
| Sep 4, 2019 | Odra Petřkovice(home) | 3-0 | 3. liga - MSFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Hanácká(home) | 1-2 | 3. liga - MSFL |
| Sep 22, 2019 | Velké Meziříčí(away) | 0-1 | 3. liga - MSFL |
| Sep 15, 2019 | Dolní Benešov(home) | 6-3 | 3. liga - MSFL |
| Sep 7, 2019 | Viktoria Otrokovice(away) | 4-0 | 3. liga - MSFL |
| Sep 4, 2019 | Uherský Brod(home) | 2-0 | 3. liga - MSFL |
How many goals should we expect?
Sigma Olomouc II score 2.2 and concede 1.1 goals per match over their last 10; Zlín II score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sigma Olomouc II | 2.2 | 1.1 | 4 | 6/10 | 7/10 |
| Zlín II | 1.6 | 1.9 | 2 | 4/10 | 5/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Sigma Olomouc II sit 1st in 3. liga - MSFL (12 points from 4 matches) and Zlín II sit 8th (7 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Sigma Olomouc II | 4 | 4 | 0 | 0 | 13 | 3 | 12 |
| 8 | Zlín II | 4 | 2 | 1 | 1 | 4 | 3 | 7 |
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