Balatonlelle SE vs Bicskei: result 2-2 and analysis
NB III - SouthwestNyugati - 7Kick-off on September 15, 2019 at 02:00 PM (UTC)Balatonlellei Sporttelep, Balatonlelle
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What was the result of Balatonlelle SE vs Bicskei?
Balatonlelle SE and Bicskei drew 2-2 on September 15, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Balatonlelle SE have 1 win, 1 draw and 10 defeats; Bicskei have 4, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | Puskás II(away) | 0-4 | NB III - Southwest |
| Sep 1, 2019 | Komárom(home) | 0-5 | NB III - Southwest |
| Aug 25, 2019 | Lipot SK(away) | 0-2 | NB III - Southwest |
| Aug 18, 2019 | Ménfőcsanak(home) | 2-0 | NB III - Southwest |
| Aug 11, 2019 | Videoton II(away) | 2-3 | NB III - Southwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | BKV Előre(home) | 1-0 | NB III - Southwest |
| Sep 1, 2019 | MTE 1904(away) | 1-1 | NB III - Southwest |
| Aug 25, 2019 | Nagykanizsai ULE(home) | 1-3 | NB III - Southwest |
| Aug 18, 2019 | III. Kerületi TUE(away) | 2-3 | NB III - Southwest |
| Aug 11, 2019 | Hévíz(away) | 2-0 | NB III - Southwest |
How many goals should we expect?
Balatonlelle SE score 0.7 and concede 2.9 goals per match over their last 12; Bicskei score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Balatonlelle SE | 0.7 | 2.9 | 1 | 4/12 | 7/12 |
| Bicskei | 1.9 | 1.4 | 2 | 6/9 | 5/9 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Balatonlelle SE | 30 | 6 | 6 | 18 | 24 | 53 | 24 |
A question about Balatonlelle SE vs Bicskei?
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