Sigma Olomouc II vs Vysočina Jihlava II: result 3-1 and analysis
3. liga - MSFLMSFL - 14Kick-off on October 31, 2021 at 09:15 AM (UTC)Andrův stadion, Olomouc
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What was the result of Sigma Olomouc II vs Vysočina Jihlava II?
Sigma Olomouc II won 3-1 on October 31, 2021.
Goalscorers
- 22′?Sigma Olomouc II
- 45′A. RůsekSigma Olomouc II
- 53′J. MatoušekSigma Olomouc II
- 87′?Vysočina Jihlava II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sigma Olomouc II have 11 wins, 3 draws and 1 defeats; Vysočina Jihlava II have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Vratimov(away) | 2-0 | 3. liga - MSFL |
| Oct 17, 2021 | Vrchovina(home) | 5-1 | 3. liga - MSFL |
| Oct 8, 2021 | Zlín II(away) | 2-2 | 3. liga - MSFL |
| Oct 3, 2021 | Blansko(home) | 3-0 | 3. liga - MSFL |
| Sep 26, 2021 | Uničov(away) | 4-0 | 3. liga - MSFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Uherský Brod(home) | 1-0 | 3. liga - MSFL |
| Oct 16, 2021 | Viktoria Otrokovice(away) | 0-2 | 3. liga - MSFL |
| Oct 8, 2021 | Slovácko II(home) | 2-8 | 3. liga - MSFL |
| Oct 3, 2021 | Baník Ostrava II(away) | 1-1 | 3. liga - MSFL |
| Sep 26, 2021 | Slovan Rosice(home) | 2-1 | 3. liga - MSFL |
How many goals should we expect?
Sigma Olomouc II score 2.7 and concede 0.6 goals per match over their last 15; Vysočina Jihlava II score 1.7 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sigma Olomouc II | 2.7 | 0.6 | 9 | 5/15 | 8/15 |
| Vysočina Jihlava II | 1.7 | 2.2 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Sigma Olomouc II | 4 | 4 | 0 | 0 | 13 | 3 | 12 |
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