Kaposvar vs DEAC: result 2-1 and analysis
NB IIRegular Season - 16Kick-off on November 8, 2020 at 04:00 PM (UTC)Rákóczi Stadion, Kaposvár
Full time
What was the result of Kaposvar vs DEAC?
Kaposvar won 2-1 on November 8, 2020.
Goalscorers
- 7′Á. SzarkaKaposvar
- 69′K. NagyDEAC (pen.)
- 90′N. AndrićKaposvar
Official lineup for Kaposvar vs DEAC
The starting elevens fielded at kick-off.
Kaposvar
- ZZ. Balázs
- ÁÁ. Szarka
- BB. Földi
- JJ. Nagy
- MM. Gál
- CC. Erdei
- ZZ. Varjas
- TT. Nagy
- LL. Ur
- CC. Vachtler
- KK. Pogacsics
DEAC
- PP. Urbin
- EErik Burai
- II. Spitzmüller
- TT. Sándor
- TT. Nikitscher
- KK. Nagy
- ZZoltán Nagy
- FF. Papp
- CC. Belényesi
- MM. Orosz
- II. Szabados
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaposvar have 6 wins, 5 draws and 4 defeats; DEAC have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2020 | Ajka(home) | 3-1 | NB II |
| Nov 1, 2020 | Vasas(away) | 0-1 | NB II |
| Oct 28, 2020 | Gázgyár(away) | 5-1 | Magyar Kupa |
| Oct 25, 2020 | Szeged 2011(home) | 1-2 | NB II |
| Oct 18, 2020 | Gyirmot SE(away) | 0-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2020 | Szentlőrinc SE(home) | 1-0 | NB II |
| Nov 1, 2020 | Ajka(away) | 0-3 | NB II |
| Oct 28, 2020 | Nagykanizsai ULE(away) | 2-1 | Magyar Kupa |
| Oct 25, 2020 | Csakvar(home) | 1-2 | NB II |
| Oct 18, 2020 | Vasas(away) | 1-4 | NB II |
How many goals should we expect?
Kaposvar score 1.7 and concede 1.1 goals per match over their last 15; DEAC score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaposvar | 1.7 | 1.1 | 5 | 9/15 | 10/15 |
| DEAC | 1.1 | 1.9 | 2 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Kaposvar vs DEAC?
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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