Hanácká vs Sigma Olomouc II: result 0-0 and analysis
3. liga - MSFLMSFL - 13Kick-off on October 25, 2019 at 04:00 PM (UTC)Stadion Jožky Silného, Kroměříž
Full time
What was the result of Hanácká vs Sigma Olomouc II?
Hanácká and Sigma Olomouc II drew 0-0 on October 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hanácká have 8 wins, 2 draws and 5 defeats; Sigma Olomouc II have 8, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Viktoria Otrokovice(away) | 3-2 | 3. liga - MSFL |
| Oct 13, 2019 | Velké Meziříčí(away) | 1-3 | 3. liga - MSFL |
| Oct 4, 2019 | Dolní Benešov(home) | 3-2 | 3. liga - MSFL |
| Sep 29, 2019 | Zlín II(away) | 2-1 | 3. liga - MSFL |
| Sep 20, 2019 | Baník Ostrava II(home) | 0-2 | 3. liga - MSFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Velké Meziříčí(home) | 0-1 | 3. liga - MSFL |
| Oct 12, 2019 | Dolní Benešov(away) | 4-3 | 3. liga - MSFL |
| Oct 6, 2019 | Zlín II(home) | 3-1 | 3. liga - MSFL |
| Sep 29, 2019 | Baník Ostrava II(away) | 2-1 | 3. liga - MSFL |
| Sep 22, 2019 | Vyškov(home) | 1-1 | 3. liga - MSFL |
How many goals should we expect?
Hanácká score 2.4 and concede 1.7 goals per match over their last 15; Sigma Olomouc II score 2.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hanácká | 2.4 | 1.7 | 3 | 10/15 | 11/15 |
| Sigma Olomouc II | 2.2 | 1.2 | 4 | 8/13 | 9/13 |
Over the last 15 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 Hanácká 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