Szolnoki MAV FC vs Cegledi VSE: result 1-1 and analysis
NB IIRegular Season - 1Kick-off on August 16, 2014 at 05:00 PM (UTC)Tiszaligeti Stadion, Szolnok
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What was the result of Szolnoki MAV FC vs Cegledi VSE?
Szolnoki MAV FC and Cegledi VSE drew 1-1 on August 16, 2014.
Goalscorers
- 53′R. RacskóSzolnoki MAV FC
- 71′G. KoósCegledi VSE (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szolnoki MAV FC have 6 wins, 3 draws and 6 defeats; Cegledi VSE have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2014 | Taksony(away) | 3-1 | Magyar Kupa |
| May 31, 2014 | Balmazujvaros(home) | 1-2 | NB II |
| May 23, 2014 | Soproni VSE(away) | 0-2 | NB II |
| May 17, 2014 | Cegledi VSE(home) | 2-1 | NB II |
| May 9, 2014 | Zalaegerszegi TE(away) | 0-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 9, 2014 | Majosi(away) | 8-0 | Magyar Kupa |
| May 31, 2014 | Kisvarda FC(away) | 0-2 | NB II |
| May 24, 2014 | Siofok(home) | 1-0 | NB II |
| May 17, 2014 | Szolnoki MAV FC(away) | 1-2 | NB II |
| May 10, 2014 | Gyirmot SE(home) | 0-4 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 2 Szolnoki MAV FC win(s), 0 draw(s), 0 Cegledi VSE win(s).
| Date | Score | Competition |
|---|---|---|
| May 17, 2014 | Szolnoki MAV FC 2-1 Cegledi VSE | NB II |
| Nov 9, 2013 | Cegledi VSE 1-2 Szolnoki MAV FC | NB II |
Last archived meeting: Szolnoki MAV FC vs Cegledi VSE on May 17, 2014
How many goals should we expect?
Szolnoki MAV FC score 1.3 and concede 1.1 goals per match over their last 15; Cegledi VSE score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szolnoki MAV FC | 1.3 | 1.1 | 5 | 8/15 | 8/15 |
| Cegledi VSE | 1.4 | 1.9 | 4 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy