Blansko vs Sigma Olomouc II: result 3-1 and analysis
3. liga - MSFLMSFL - 7Kick-off on September 15, 2019 at 08:15 AM (UTC)Stadion na Údolní, Blansko
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What was the result of Blansko vs Sigma Olomouc II?
Blansko won 3-1 on September 15, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Blansko have 4 wins, 4 draws and 0 defeats; Sigma Olomouc II have 5, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Hanácká(away) | 0-0 | 3. liga - MSFL |
| Sep 4, 2019 | Viktoria Otrokovice(home) | 4-0 | 3. liga - MSFL |
| Sep 1, 2019 | Velké Meziříčí(home) | 5-0 | 3. liga - MSFL |
| Aug 24, 2019 | Dolní Benešov(away) | 1-1 | 3. liga - MSFL |
| Aug 18, 2019 | Zlín II(home) | 1-0 | 3. liga - MSFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 17, 2019 | Znojmo(away) | 2-0 | 3. liga - MSFL |
How many goals should we expect?
Blansko score 2.4 and concede 0.9 goals per match over their last 8; Sigma Olomouc II score 2.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Blansko | 2.4 | 0.9 | 4 | 4/8 | 4/8 |
| Sigma Olomouc II | 2.6 | 0.9 | 4 | 3/7 | 5/7 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Blansko sit 15th in 3. liga - MSFL (11 points from 13 matches) and Sigma Olomouc II sit 6th (19 points from 12 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Sigma Olomouc II | 12 | 6 | 1 | 5 | 20 | 16 | 19 |
| 15 | Blansko | 13 | 2 | 5 | 6 | 18 | 29 | 11 |
A question about Blansko vs Sigma Olomouc II?
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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