Hlučín vs Sigma Olomouc II: result 1-0 and analysis
3. liga - MSFLMSFL - 16Kick-off on November 16, 2019 at 12:30 PM (UTC)Městský fotbalový stadion Hlučín, Hlučín
Full time
What was the result of Hlučín vs Sigma Olomouc II?
Hlučín won 1-0 on November 16, 2019.
Goalscorers
- 78′140223Hlučín
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hlučín have 5 wins, 3 draws and 7 defeats; Sigma Olomouc II have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Hanácká(away) | 0-2 | 3. liga - MSFL |
| Nov 2, 2019 | Velké Meziříčí(home) | 2-3 | 3. liga - MSFL |
| Oct 26, 2019 | Dolní Benešov(away) | 0-1 | 3. liga - MSFL |
| Oct 19, 2019 | Zlín II(home) | 3-0 | 3. liga - MSFL |
| Oct 13, 2019 | Baník Ostrava II(away) | 1-0 | 3. liga - MSFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Slovan Rosice(home) | 0-1 | 3. liga - MSFL |
| 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 |
How many goals should we expect?
Hlučín score 1.0 and concede 1.4 goals per match over their last 15; Sigma Olomouc II score 2.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hlučín | 1.0 | 1.4 | 7 | 5/15 | 6/15 |
| Sigma Olomouc II | 2.3 | 1.0 | 5 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Sigma Olomouc II | 14 | 8 | 1 | 5 | 28 | 17 | 25 |
A question about Hlučín vs Sigma Olomouc II?
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