Sigma Olomouc II vs Vyškov: result 1-1 and analysis
3. liga - MSFLMSFL - 8Kick-off on September 22, 2019 at 08:15 AM (UTC)Andrův stadion, Olomouc
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What was the result of Sigma Olomouc II vs Vyškov?
Sigma Olomouc II and Vyškov drew 1-1 on September 22, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Sigma Olomouc II have 5 wins, 0 draws and 3 defeats; Vyškov have 1, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 1, 2019 | Uničov(away) | 1-2 | 3. liga - MSFL |
| Aug 25, 2019 | Uherský Brod(home) | 2-1 | 3. liga - MSFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Hanácká(home) | 0-2 | 3. liga - MSFL |
| Sep 8, 2019 | Velké Meziříčí(away) | 1-1 | 3. liga - MSFL |
| Sep 4, 2019 | Vrchovina(home) | 0-2 | 3. liga - MSFL |
| Aug 31, 2019 | Dolní Benešov(home) | 2-1 | 3. liga - MSFL |
| Aug 25, 2019 | Zlín II(away) | 1-1 | 3. liga - MSFL |
How many goals should we expect?
Sigma Olomouc II score 2.4 and concede 1.1 goals per match over their last 8; Vyškov score 0.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sigma Olomouc II | 2.4 | 1.1 | 4 | 4/8 | 6/8 |
| Vyškov | 0.7 | 1.4 | 1 | 5/9 | 2/9 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Sigma Olomouc II | 12 | 6 | 1 | 5 | 20 | 16 | 19 |
A question about Sigma Olomouc II vs Vyškov?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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