Szolnoki MAV FC vs Nyiregyhaza: result 2-1 and analysis
NB IIRegular Season - 13Kick-off on October 16, 2016 at 03:00 PM (UTC)Tiszaligeti Stadion, Szolnok
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What was the result of Szolnoki MAV FC vs Nyiregyhaza?
Szolnoki MAV FC won 2-1 on October 16, 2016.
Goalscorers
- 33′Á. RokszinSzolnoki MAV FC
- 53′Á. RokszinSzolnoki MAV FC
- 68′Tibor TiszaNyiregyhaza
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szolnoki MAV FC have 5 wins, 3 draws and 7 defeats; Nyiregyhaza have 7, 3 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 | Siofok(away) | 1-0 | NB II |
| Sep 25, 2016 | MTE 1904(home) | 0-4 | NB II |
| Sep 21, 2016 | Monori Se(away) | 7-1 | Magyar Kupa |
| Sep 18, 2016 | Zalaegerszegi TE(away) | 2-3 | NB II |
| Sep 14, 2016 | VAC(home) | 1-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2016 | Soroksar(home) | 1-1 | NB II |
| Sep 25, 2016 | Budaorsi SC(away) | 0-1 | NB II |
| Sep 21, 2016 | Iváncsa(away) | 3-0 | Magyar Kupa |
| Sep 18, 2016 | Balmazujvaros(home) | 1-3 | NB II |
| Sep 14, 2016 | Cegledi VSE(away) | 5-3 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 1 Szolnoki MAV FC win(s), 0 draw(s), 1 Nyiregyhaza win(s).
| Date | Score | Competition |
|---|---|---|
| May 3, 2014 | Szolnoki MAV FC 1-0 Nyiregyhaza | NB II |
| Oct 26, 2013 | Nyiregyhaza 1-0 Szolnoki MAV FC | NB II |
Last archived meeting: Szolnoki MAV FC vs Nyiregyhaza on May 3, 2014
How many goals should we expect?
Szolnoki MAV FC score 1.7 and concede 1.7 goals per match over their last 15; Nyiregyhaza score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szolnoki MAV FC | 1.7 | 1.7 | 4 | 10/15 | 10/15 |
| Nyiregyhaza | 1.2 | 1.3 | 7 | 5/15 | 6/15 |
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