Soproni VSE vs Paksi SE II: result 3-1 and analysis
NB IIRegular Season - 20Kick-off on March 31, 2013 at 02:00 PM (UTC)Városi Stadion, Sopron
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What was the result of Soproni VSE vs Paksi SE II?
Soproni VSE won 3-1 on March 31, 2013.
Goalscorers
- 43′Roland PapPaksi SE II
- 57′András HorváthSoproni VSE
- 74′Gabor VargaSoproni VSE
- 84′Donat LaczkovichSoproni VSE
What is the recent form of both teams?
Over their last 15 matches in all competitions, Soproni VSE have 4 wins, 5 draws and 6 defeats; Paksi SE II have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2013 | Szombathelyi Haladás II(away) | 1-0 | NB II |
| Mar 9, 2013 | Csakvar(away) | 1-1 | NB II |
| Mar 2, 2013 | Bajai(home) | 1-1 | NB II |
| Nov 24, 2012 | Tatabánya(away) | 0-0 | NB II |
| Nov 17, 2012 | Puskas Academy(home) | 0-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2013 | Puskas Academy(home) | 0-2 | NB II |
| Mar 9, 2013 | Kaposvári Rákóczi FC II(home) | 0-1 | NB II |
| Mar 3, 2013 | Veszprém(away) | 0-1 | NB II |
| Nov 24, 2012 | Zalaegerszegi TE(away) | 0-2 | NB II |
| Nov 18, 2012 | SZTK-Erima(home) | 0-2 | NB II |
What does the head-to-head say?
Across the last 3 meetings: 1 Soproni VSE win(s), 0 draw(s), 2 Paksi SE II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2012 | Paksi SE II 2-1 Soproni VSE | NB II |
| May 19, 2012 | Paksi SE II 0-1 Soproni VSE | NB II |
| Nov 12, 2011 | Soproni VSE 0-1 Paksi SE II | NB II |
Last archived meeting: Paksi SE II vs Soproni VSE on Sep 16, 2012
How many goals should we expect?
Soproni VSE score 1.3 and concede 1.6 goals per match over their last 15; Paksi SE II score 0.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Soproni VSE | 1.3 | 1.6 | 4 | 6/15 | 9/15 |
| Paksi SE II | 0.7 | 1.8 | 1 | 5/15 | 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