BKV Előre vs Tiszaföldvár: result 2-0 and analysis
NB III - SoutheastSoutheast - 3Kick-off on August 11, 2024 at 03:30 PM (UTC)BKV Előre Stadion, Budapest
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What was the result of BKV Előre vs Tiszaföldvár?
BKV Előre won 2-0 on August 11, 2024.
Goalscorers
- 23′?BKV Előre
- 52′?BKV Előre
What is the recent form of both teams?
Over their last 15 matches in all competitions, BKV Előre have 7 wins, 1 draw and 7 defeats; Tiszaföldvár have 1, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2024 | Kecskeméti TE II(away) | 4-1 | NB III - Southeast |
| Aug 3, 2024 | Szegedi VSE(away) | 2-0 | Magyar Kupa |
| Jul 28, 2024 | Pénzügyőr(home) | 0-1 | NB III - Southeast |
| Jun 26, 2024 | MTK Budapest(away) | 0-2 | Friendlies Clubs |
| May 26, 2024 | Cegledi VSE(home) | 10-0 | NB III - Southeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2024 | Szeged-Csanád II(home) | 1-3 | NB III - Southeast |
| Aug 4, 2024 | OMTK-Ule(away) | 4-1 | Magyar Kupa |
| Jul 28, 2024 | Tiszakecske FC(home) | 0-3 | NB III - Southeast |
| Jun 29, 2024 | Szegedi VSE(away) | 2-4 | Friendlies Clubs |
| Aug 5, 2023 | Bekescsaba 1912(home) | 1-2 | Magyar Kupa |
How many goals should we expect?
BKV Előre score 2.1 and concede 1.8 goals per match over their last 15; Tiszaföldvár score 1.1 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKV Előre | 2.1 | 1.8 | 3 | 8/15 | 10/15 |
| Tiszaföldvár | 1.1 | 3.4 | 0 | 4/7 | 7/7 |
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 | BKV Előre | 11 | 1 | 2 | 8 | 8 | 37 | 5 |
A question about BKV Előre vs Tiszaföldvár?
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