BKV Előre vs Paksi SE II: result 3-2 and analysis
NB IIRegular Season - 4Kick-off on September 11, 2011 at 02:30 PM (UTC)BKV Előre Stadion, Budapest
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What was the result of BKV Előre vs Paksi SE II?
BKV Előre won 3-2 on September 11, 2011.
Goalscorers
- 6′V. SzabóBKV Előre
- 27′N. BaranyaiBKV Előre
- 39′A. CzirakiPaksi SE II
- 69′V. SzabóBKV Előre
- 74′Jozsef MagasfoldiPaksi SE II
Official lineup for BKV Előre vs Paksi SE II
The starting elevens fielded at kick-off.
BKV Előre
- MMarcell Takács
- VV. Szabó
- PP. Berki
- AAndrás Selei
- SSándor Csikós
- II. Sebok
- ZZ. Máj
- JJános Miklósvári
- GGéza Norbert Fazakas
- NN. Baranyai
- AA. Vezér
Paksi SE II
- JJozsef Magasfoldi
- RRoland Pap
- AA. Czinger
- GGábor Tamasi
- AA. Cziraki
- DD. Budai
- ÁÁ. Berkó
- DD. Féhr
- RR. Racskó
- GG. Steinbach
- PP. Blatt
What is the recent form of both teams?
Over their last 3 matches in all competitions, BKV Előre have 1 win, 0 draws and 2 defeats; Paksi SE II have 0, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2011 | MTK Budapest(away) | 0-2 | NB II |
| Aug 28, 2011 | Dunaújváros-Pálhalma(home) | 1-0 | NB II |
| Aug 20, 2011 | Kozarmisleny FC(away) | 1-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2011 | Videoton II(home) | 0-0 | NB II |
| Aug 27, 2011 | Budaorsi SC(away) | 0-0 | NB II |
| Aug 20, 2011 | Gyori ETO II(home) | 1-3 | NB II |
How many goals should we expect?
BKV Előre score 0.7 and concede 1.3 goals per match over their last 3; Paksi SE II score 0.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKV Előre | 0.7 | 1.3 | 1 | 1/3 | 1/3 |
| Paksi SE II | 0.3 | 1.0 | 2 | 1/3 | 1/3 |
Over the last 3 matches in all competitions.
A question about BKV Előre vs Paksi SE II?
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