Dunaújváros-Pálhalma vs Szolnoki MAV FC: result 1-1 and analysis
NB IIRegular Season - 21Kick-off on April 2, 2016 at 05:00 PM (UTC)Dunaújvárosi Stadion, Dunaújváros
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What was the result of Dunaújváros-Pálhalma vs Szolnoki MAV FC?
Dunaújváros-Pálhalma and Szolnoki MAV FC drew 1-1 on April 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dunaújváros-Pálhalma have 3 wins, 7 draws and 5 defeats; Szolnoki MAV FC have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2016 | Soproni VSE(away) | 1-1 | NB II |
| Mar 11, 2016 | Zalaegerszegi TE(home) | 1-3 | NB II |
| Mar 4, 2016 | Balmazujvaros(home) | 2-3 | NB II |
| Feb 27, 2016 | VAC(home) | 0-2 | NB II |
| Feb 20, 2016 | Siofok(home) | 1-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2016 | Mezokovesd-zsory(home) | 0-1 | NB II |
| Mar 12, 2016 | Budaörs(away) | 3-0 | NB II |
| Mar 5, 2016 | SZTK-Erima(home) | 1-1 | NB II |
| Feb 27, 2016 | Ajka(away) | 0-0 | NB II |
| Feb 20, 2016 | Soroksar(home) | 0-3 | NB II |
What does the head-to-head say?
Across the last 3 meetings: 0 Dunaújváros-Pálhalma win(s), 2 draw(s), 1 Szolnoki MAV FC win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 12, 2015 | Szolnoki MAV FC 1-1 Dunaújváros-Pálhalma | NB II |
| Apr 11, 2014 | Dunaújváros-Pálhalma 0-0 Szolnoki MAV FC | NB II |
| Oct 4, 2013 | Szolnoki MAV FC 3-2 Dunaújváros-Pálhalma | NB II |
Last archived meeting: Szolnoki MAV FC vs Dunaújváros-Pálhalma on Sep 12, 2015
How many goals should we expect?
Dunaújváros-Pálhalma score 1.3 and concede 1.3 goals per match over their last 15; Szolnoki MAV FC score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dunaújváros-Pálhalma | 1.3 | 1.3 | 4 | 9/15 | 5/15 |
| Szolnoki MAV FC | 1.1 | 1.3 | 5 | 6/15 | 8/15 |
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