Kaposvar vs Nagykanizsai ULE: result 1-0 and analysis
NB III - SouthwestNyugati - 12Kick-off on October 17, 2021 at 11:00 AM (UTC)Rákóczi Stadion, Kaposvár
Full time
What was the result of Kaposvar vs Nagykanizsai ULE?
Kaposvar won 1-0 on October 17, 2021.
Goalscorers
- 24′?Kaposvar (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaposvar have 6 wins, 3 draws and 6 defeats; Nagykanizsai ULE have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | BVSC(away) | 0-1 | NB III - Southwest |
| Oct 3, 2021 | Komárom(home) | 1-0 | NB III - Southwest |
| Sep 26, 2021 | Andráshida(home) | 3-0 | NB III - Southwest |
| Sep 22, 2021 | Balatonfüredi(away) | 0-1 | NB III - Southwest |
| Sep 18, 2021 | Cegledi VSE(away) | 0-3 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2021 | Andráshida(home) | 2-1 | NB III - Southwest |
| Oct 3, 2021 | Balatonfüredi(away) | 0-1 | NB III - Southwest |
| Sep 26, 2021 | Tatabánya(home) | 0-2 | NB III - Southwest |
| Sep 22, 2021 | Pápai Perutz(away) | 2-1 | NB III - Southwest |
| Sep 19, 2021 | Karancslapujtő(away) | 5-0 | Magyar Kupa |
How many goals should we expect?
Kaposvar score 1.0 and concede 1.0 goals per match over their last 15; Nagykanizsai ULE score 1.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaposvar | 1.0 | 1.0 | 5 | 4/15 | 5/15 |
| Nagykanizsai ULE | 1.9 | 1.8 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kaposvar | 13 | 9 | 1 | 3 | 37 | 17 | 28 |
A question about Kaposvar vs Nagykanizsai ULE?
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