Sigma Olomouc II vs Vrchovina: result 1-0 and analysis
3. liga - MSFLMSFL - 6Kick-off on September 7, 2019 at 02:00 PM (UTC)Andrův stadion, Olomouc
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What was the result of Sigma Olomouc II vs Vrchovina?
Sigma Olomouc II won 1-0 on September 7, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Sigma Olomouc II have 4 wins, 0 draws and 2 defeats; Vrchovina have 5, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2019 | Odra Petřkovice(home) | 3-0 | 3. liga - MSFL |
| Sep 1, 2019 | Uničov(away) | 1-2 | 3. liga - MSFL |
| Aug 25, 2019 | Uherský Brod(home) | 2-1 | 3. liga - MSFL |
| Aug 17, 2019 | Znojmo(away) | 2-0 | 3. liga - MSFL |
| Aug 11, 2019 | Slovácko II(home) | 8-0 | 3. liga - MSFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2019 | Vyškov(away) | 2-0 | 3. liga - MSFL |
| Aug 31, 2019 | Hanácká(home) | 1-3 | 3. liga - MSFL |
| Aug 27, 2019 | Slovácko(home) | 0-5 | Cup |
| Aug 23, 2019 | Velké Meziříčí(away) | 3-3 | 3. liga - MSFL |
| Aug 20, 2019 | Sokol Tasovice(away) | 1-0 | Cup |
How many goals should we expect?
Sigma Olomouc II score 2.8 and concede 1.0 goals per match over their last 6; Vrchovina score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sigma Olomouc II | 2.8 | 1.0 | 3 | 3/6 | 5/6 |
| Vrchovina | 1.9 | 1.6 | 3 | 5/9 | 5/9 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Sigma Olomouc II sit 4th in 3. liga - MSFL (28 points from 15 matches) and Vrchovina sit 14th (17 points from 15 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Sigma Olomouc II | 15 | 9 | 1 | 5 | 33 | 18 | 28 |
| 14 | Vrchovina | 15 | 5 | 2 | 8 | 17 | 32 | 17 |
A question about Sigma Olomouc II vs Vrchovina?
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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