Vasas vs Tatabánya: result 5-0 and analysis
NB IIRegular Season - 18Kick-off on March 8, 2014 at 03:00 PM (UTC)Illovszky Rudolf Stadion, Budapest
Full time
What was the result of Vasas vs Tatabánya?
Vasas won 5-0 on March 8, 2014.
Goalscorers
- 34′M. ÁdámVasas
- 51′M. RemiliVasas
- 81′M. ÁdámVasas
- 86′B. CsekeVasas
- 90′M. ÁdámVasas
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vasas have 6 wins, 2 draws and 7 defeats; Tatabánya have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2014 | Bekescsaba 1912(away) | 1-1 | NB II |
| Nov 29, 2013 | Dunaújváros-Pálhalma(home) | 1-2 | NB II |
| Nov 23, 2013 | Ajka(home) | 1-5 | NB II |
| Nov 16, 2013 | Kozarmisleny FC(away) | 3-1 | NB II |
| Nov 9, 2013 | SZTK-Erima(home) | 1-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2014 | Szolnoki MAV FC(away) | 0-4 | NB II |
| Nov 30, 2013 | Bekescsaba 1912(home) | 0-0 | NB II |
| Nov 23, 2013 | Gyirmot SE(home) | 0-1 | NB II |
| Nov 16, 2013 | Dunaújváros-Pálhalma(away) | 1-1 | NB II |
| Nov 9, 2013 | Balmazujvaros(home) | 2-1 | NB II |
What does the head-to-head say?
Across the last 1 meetings: 0 Vasas win(s), 0 draw(s), 1 Tatabánya win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 31, 2013 | Tatabánya 3-2 Vasas | NB II |
How many goals should we expect?
Vasas score 1.4 and concede 1.9 goals per match over their last 15; Tatabánya score 0.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vasas | 1.4 | 1.9 | 2 | 10/15 | 9/15 |
| Tatabánya | 0.9 | 2.2 | 1 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Vasas | 30 | 20 | 4 | 6 | 59 | 26 | 64 |
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