Hodonín vs Baník Ostrava II: result 5-1 and analysis
3. liga - MSFLMSFL - 15Kick-off on November 12, 2022 at 12:30 PM (UTC)Stadion u Červených domků, Hodonín
Full time
What was the result of Hodonín vs Baník Ostrava II?
Hodonín won 5-1 on November 12, 2022.
Goalscorers
- 39′M. KadlecHodonín
- 43′66694Hodonín (pen.)
- 45′?Hodonín
- 47′Libor BobčíkHodonín (pen.)
- 75′D. SmékalBaník Ostrava II
- 88′?Hodonín
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hodonín have 4 wins, 4 draws and 7 defeats; Baník Ostrava II have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2022 | Blansko(away) | 1-6 | 3. liga - MSFL |
| Oct 28, 2022 | Uherský Brod(home) | 3-0 | 3. liga - MSFL |
| Oct 23, 2022 | Uničov(away) | 1-2 | 3. liga - MSFL |
| Oct 15, 2022 | Frýdek-Místek(home) | 1-1 | 3. liga - MSFL |
| Oct 9, 2022 | Hranice(away) | 1-4 | 3. liga - MSFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2022 | Frýdlant(home) | 5-0 | 3. liga - MSFL |
| Oct 30, 2022 | Slovácko II(home) | 2-0 | 3. liga - MSFL |
| Oct 22, 2022 | Blansko(away) | 3-3 | 3. liga - MSFL |
| Oct 16, 2022 | Uherský Brod(home) | 2-0 | 3. liga - MSFL |
| Oct 9, 2022 | Uničov(away) | 0-0 | 3. liga - MSFL |
How many goals should we expect?
Hodonín score 1.4 and concede 1.9 goals per match over their last 15; Baník Ostrava II score 2.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hodonín | 1.4 | 1.9 | 5 | 9/15 | 8/15 |
| Baník Ostrava II | 2.7 | 1.1 | 7 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Hodonín | 16 | 7 | 2 | 7 | 25 | 18 | 23 |
A question about Hodonín vs Baník Ostrava 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