Szeol Sc vs Csakvar: result 0-2 and analysis
NB IIRegular Season - 13Kick-off on October 16, 2016 at 12:30 PM (UTC)Szegedi VSE Stadion, Szeged
Full time
What was the result of Szeol Sc vs Csakvar?
Csakvar won 0-2 on October 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szeol Sc have 4 wins, 1 draw and 10 defeats; Csakvar have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Cigand SE(away) | 0-3 | NB II |
| Sep 25, 2016 | Kozarmisleny FC(away) | 0-1 | NB II |
| Sep 21, 2016 | Siklós(away) | 3-2 | Magyar Kupa |
| Sep 18, 2016 | Bekescsaba 1912(home) | 0-3 | NB II |
| Sep 14, 2016 | Soproni VSE(away) | 1-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Bekescsaba 1912(home) | 3-1 | NB II |
| Sep 25, 2016 | Soproni VSE(away) | 2-2 | NB II |
| Sep 21, 2016 | Komlói Bányász SK(away) | 2-1 | Magyar Kupa |
| Sep 18, 2016 | Kisvarda FC(home) | 0-0 | NB II |
| Sep 14, 2016 | Puskas Academy(away) | 0-1 | NB II |
How many goals should we expect?
Szeol Sc score 0.7 and concede 1.7 goals per match over their last 15; Csakvar score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szeol Sc | 0.7 | 1.7 | 1 | 6/15 | 7/15 |
| Csakvar | 1.1 | 1.9 | 2 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Csakvar | 9 | 1 | 1 | 7 | 9 | 21 | 4 |
A question about Szeol Sc vs Csakvar?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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