Tatabánya vs Cegledi VSE: result 2-1 and analysis
NB IIRegular Season - 9Kick-off on October 12, 2013 at 01:00 PM (UTC)Grosics Gyula Stadion, Tatabánya
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What was the result of Tatabánya vs Cegledi VSE?
Tatabánya won 2-1 on October 12, 2013.
Goalscorers
- 57′A. BeszterczeiTatabánya
- 64′László KormosCegledi VSE
- 88′Szabolcs BakosTatabánya
Official lineup for Tatabánya vs Cegledi VSE
The starting elevens fielded at kick-off.
Tatabánya
- SS. Kis
- ÁÁdám Weitner
- BBence Szabo
- AA. Beszterczei
- SSzabolcs Bakos
- II. Ludánszki
- GGyörgy Radnai
- JJ. Bozsik
- LLászló Almási
- GGábor Szamosszegi
- RRóbert Bertalan Farkasdi
Cegledi VSE
- AA. Markó
- GG. Koós
- DDenys Rebryk
- ZZsolt Koncz
- ZZ. Kenderes
- LLászló Kormos
- JJános Miklósvári
- IIstván Farkas
- LL. Makrai
- AA. Szala
- ZZoltán Miski
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tatabánya have 6 wins, 1 draw and 8 defeats; Cegledi VSE have 4, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2013 | SZTK-Erima(away) | 0-3 | NB II |
| Sep 28, 2013 | Zalaegerszegi TE(home) | 1-2 | NB II |
| Sep 21, 2013 | Kisvarda FC(away) | 0-5 | NB II |
| Sep 14, 2013 | Nyiregyhaza(home) | 1-2 | NB II |
| Sep 7, 2013 | Siofok(away) | 2-5 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2013 | Zalaegerszegi TE(home) | 0-1 | NB II |
| Sep 28, 2013 | Nyiregyhaza(away) | 0-1 | NB II |
| Sep 21, 2013 | Vasas(home) | 2-3 | NB II |
| Sep 14, 2013 | Bekescsaba 1912(away) | 3-3 | NB II |
| Sep 7, 2013 | Dunaújváros-Pálhalma(home) | 2-1 | NB II |
How many goals should we expect?
Tatabánya score 1.5 and concede 2.0 goals per match over their last 15; Cegledi VSE score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tatabánya | 1.5 | 2.0 | 4 | 7/15 | 12/15 |
| Cegledi VSE | 1.2 | 1.4 | 3 | 4/13 | 5/13 |
Over the last 15 matches in all competitions.
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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