Bekescsaba 1912 vs Cigand SE: result 1-0 and analysis
NB IIRegular Season - 11Kick-off on September 25, 2016 at 02:00 PM (UTC)Kórház utcai stadion, Békéscsaba
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What was the result of Bekescsaba 1912 vs Cigand SE?
Bekescsaba 1912 won 1-0 on September 25, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bekescsaba 1912 have 7 wins, 3 draws and 5 defeats; Cigand SE have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2016 | Építők(away) | 6-0 | Magyar Kupa |
| Sep 18, 2016 | Szeol Sc(away) | 3-0 | NB II |
| Sep 15, 2016 | Kozarmisleny FC(away) | 2-0 | NB II |
| Sep 11, 2016 | Soproni VSE(home) | 1-0 | NB II |
| Aug 28, 2016 | Kisvarda FC(away) | 2-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2016 | Baktalórántháza(away) | 7-7 | Magyar Kupa |
| Sep 18, 2016 | Soproni VSE(home) | 0-1 | NB II |
| Sep 14, 2016 | Kisvarda FC(away) | 0-3 | NB II |
| Sep 11, 2016 | Puskas Academy(home) | 0-1 | NB II |
| Aug 28, 2016 | Szolnoki MAV FC(away) | 0-0 | NB II |
How many goals should we expect?
Bekescsaba 1912 score 1.5 and concede 0.7 goals per match over their last 15; Cigand SE score 1.4 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bekescsaba 1912 | 1.5 | 0.7 | 8 | 3/15 | 5/15 |
| Cigand SE | 1.4 | 2.6 | 1 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Bekescsaba 1912 | 30 | 6 | 10 | 14 | 27 | 42 | 28 |
A question about Bekescsaba 1912 vs Cigand SE?
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