Csakvar vs Kaposvar: result 3-3 and analysis
NB IIRegular Season - 10Kick-off on September 30, 2018 at 03:00 PM (UTC)Tersztyánszky Ödön Sportközpont, Csákvár
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What was the result of Csakvar vs Kaposvar?
Csakvar and Kaposvar drew 3-3 on September 30, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Csakvar have 6 wins, 6 draws and 3 defeats; Kaposvar have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2018 | Nyiregyhaza(away) | 1-0 | NB II |
| Sep 22, 2018 | Putnok VSE(away) | 2-0 | Magyar Kupa |
| Sep 16, 2018 | Bekescsaba 1912(home) | 1-3 | NB II |
| Sep 2, 2018 | Gyori ETO FC(away) | 3-1 | NB II |
| Aug 29, 2018 | Budafoki LC(home) | 0-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2018 | Siofok(home) | 1-0 | NB II |
| Sep 22, 2018 | Király SZE(away) | 3-0 | Magyar Kupa |
| Sep 16, 2018 | Vasas(away) | 2-2 | NB II |
| Sep 2, 2018 | Monori Se(home) | 3-2 | NB II |
| Aug 29, 2018 | Zalaegerszegi TE(away) | 2-1 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 1 Csakvar win, 0 draws, 1 Kaposvar win.
| Date | Score | Competition |
|---|---|---|
| Feb 20, 2015 | Csakvar 4-2 Kaposvar | NB II |
| Aug 16, 2014 | Kaposvar 1-0 Csakvar | NB II |
How many goals should we expect?
Csakvar score 1.7 and concede 1.3 goals per match over their last 15; Kaposvar score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Csakvar | 1.7 | 1.3 | 4 | 11/15 | 8/15 |
| Kaposvar | 1.9 | 1.3 | 5 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Csakvar | 9 | 1 | 1 | 7 | 9 | 21 | 4 |
A question about Csakvar vs Kaposvar?
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