Kaposvar vs Tatabánya: result 1-1 and analysis
NB III - SouthwestNyugati - 7Kick-off on September 12, 2021 at 05:00 PM (UTC)Rákóczi Stadion, Kaposvár
Full time
What was the result of Kaposvar vs Tatabánya?
Kaposvar and Tatabánya drew 1-1 on September 12, 2021.
Goalscorers
- 16′Zoltán FarkasTatabánya
- 59′?Kaposvar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaposvar have 4 wins, 2 draws and 9 defeats; Tatabánya have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2021 | Pápai Perutz(away) | 0-1 | NB III - Southwest |
| Sep 1, 2021 | SC Sopron(home) | 2-0 | NB III - Southwest |
| Aug 28, 2021 | Bicskei(home) | 2-1 | Magyar Kupa |
| Aug 22, 2021 | Gyori ETO II(away) | 0-3 | NB III - Southwest |
| Aug 15, 2021 | Kelen(home) | 1-1 | NB III - Southwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2021 | Andráshida(home) | 5-0 | NB III - Southwest |
| Sep 1, 2021 | Balatonfüredi(away) | 2-1 | NB III - Southwest |
| Aug 29, 2021 | Ménfőcsanak(away) | 1-0 | Magyar Kupa |
| Aug 22, 2021 | Komárom(home) | 1-1 | NB III - Southwest |
| Aug 15, 2021 | Pápai Perutz(home) | 0-0 | NB III - Southwest |
How many goals should we expect?
Kaposvar score 0.9 and concede 1.6 goals per match over their last 15; Tatabánya score 2.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaposvar | 0.9 | 1.6 | 3 | 6/15 | 8/15 |
| Tatabánya | 2.3 | 1.0 | 6 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Kaposvar | 10 | 6 | 1 | 3 | 24 | 14 | 19 |
A question about Kaposvar vs Tatabánya?
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