Sigma Olomouc II vs Slovan Rosice: result 0-1 and analysis
3. liga - MSFLMSFL - 15Kick-off on November 10, 2019 at 09:15 AM (UTC)Andrův stadion, Olomouc
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What was the result of Sigma Olomouc II vs Slovan Rosice?
Slovan Rosice won 0-1 on November 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sigma Olomouc II have 9 wins, 2 draws and 4 defeats; Slovan Rosice have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Viktoria Otrokovice(away) | 6-1 | 3. liga - MSFL |
| Oct 25, 2019 | Hanácká(away) | 0-0 | 3. liga - MSFL |
| Oct 20, 2019 | Velké Meziříčí(home) | 0-1 | 3. liga - MSFL |
| Oct 12, 2019 | Dolní Benešov(away) | 4-3 | 3. liga - MSFL |
| Oct 6, 2019 | Zlín II(home) | 3-1 | 3. liga - MSFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Hanácká(home) | 0-0 | 3. liga - MSFL |
| Oct 27, 2019 | Velké Meziříčí(away) | 2-2 | 3. liga - MSFL |
| Oct 19, 2019 | Dolní Benešov(home) | 1-0 | 3. liga - MSFL |
| Oct 13, 2019 | Zlín II(away) | 2-0 | 3. liga - MSFL |
| Oct 5, 2019 | Baník Ostrava II(home) | 1-0 | 3. liga - MSFL |
How many goals should we expect?
Sigma Olomouc II score 2.3 and concede 1.1 goals per match over their last 15; Slovan Rosice score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sigma Olomouc II | 2.3 | 1.1 | 5 | 9/15 | 10/15 |
| Slovan Rosice | 1.3 | 1.1 | 8 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Sigma Olomouc II | 15 | 9 | 1 | 5 | 33 | 18 | 28 |
A question about Sigma Olomouc II vs Slovan Rosice?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy