Szombathelyi Haladás II vs Paksi SE II: result 2-1 and analysis
NB IIRegular Season - 24Kick-off on April 28, 2013 at 03:00 PM (UTC)Illés Akadémia műfüves-pálya, Szombathely
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What was the result of Szombathelyi Haladás II vs Paksi SE II?
Szombathelyi Haladás II won 2-1 on April 28, 2013.
Goalscorers
- 69′Tamás EisenbergerPaksi SE II
- 80′M. HanzlSzombathelyi Haladás II
- 85′A. SzakálySzombathelyi Haladás II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szombathelyi Haladás II have 6 wins, 4 draws and 5 defeats; Paksi SE II have 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2013 | Tatabánya(away) | 3-2 | NB II |
| Apr 13, 2013 | Kozarmisleny FC(away) | 0-2 | NB II |
| Apr 10, 2013 | Puskas Academy(away) | 0-0 | NB II |
| Apr 6, 2013 | Csakvar(home) | 0-1 | NB II |
| Mar 29, 2013 | Bajai(away) | 3-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2013 | Kozarmisleny FC(home) | 0-3 | NB II |
| Apr 13, 2013 | Csakvar(away) | 1-4 | NB II |
| Apr 10, 2013 | BKV Előre(away) | 1-2 | NB II |
| Apr 7, 2013 | Bajai(home) | 0-2 | NB II |
| Mar 31, 2013 | Soproni VSE(away) | 1-3 | NB II |
What does the head-to-head say?
Across the last 1 meetings: 0 Szombathelyi Haladás II win(s), 1 draw(s), 0 Paksi SE II win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 14, 2012 | Paksi SE II 2-2 Szombathelyi Haladás II | NB II |
Last archived meeting: Paksi SE II vs Szombathelyi Haladás II on Oct 14, 2012
How many goals should we expect?
Szombathelyi Haladás II score 1.6 and concede 1.5 goals per match over their last 15; Paksi SE II score 0.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szombathelyi Haladás II | 1.6 | 1.5 | 1 | 10/15 | 9/15 |
| Paksi SE II | 0.5 | 2.0 | 0 | 6/15 | 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