Ajka vs Ujpest: result 2-2 and analysis
Magyar Kupa8th FinalsKick-off on October 29, 2014 at 11:30 AM (UTC)Ajkai Városi Sportcentrum, Ajka
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What was the result of Ajka vs Ujpest?
Ajka and Ujpest drew 2-2 on October 29, 2014.
Goalscorers
- 52′F. StanisavljevićUjpest
- 90′Dávid AsztalosAjka
Official lineup for Ajka vs Ujpest
The starting elevens fielded at kick-off.
Ajka
- PPéter Mihalecz
- ZZ. Szabó
- NN. Major
- LLaszlo Nemeth
- SSzabolcs Csordás
- JJózsef Mogyorósi
- GG. Pakai
- JJ. Köles
- DDávid Asztalos
- GGabor Varga
- TT. Jánosa
Ujpest
- KK. Simon
- DD. Vasiljevic
- GGábor Nagy
- FF. Stanisavljević
- NN. Kosović
- EE. Bardhi
- VViktor Vadász
- RRodrigo Rojo Piazze
- RR. Litauszki
- SSandro Tsveiba
- MM. Dmitrović
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajka have 6 wins, 1 draw and 8 defeats; Ujpest have 8, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2014 | Szeged 2011(away) | 0-1 | NB II |
| Oct 18, 2014 | SZTK-Erima(home) | 2-1 | NB II |
| Oct 12, 2014 | Szolnoki MAV FC(away) | 0-1 | NB II |
| Oct 4, 2014 | Bekescsaba 1912(home) | 0-2 | NB II |
| Oct 1, 2014 | Balmazujvaros(home) | 5-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2014 | Nyiregyhaza(home) | 3-2 | NB I |
| Oct 19, 2014 | Gyori ETO FC(away) | 0-0 | NB I |
| Oct 4, 2014 | Dunaújváros-Pálhalma(home) | 3-0 | NB I |
| Sep 27, 2014 | Pápa(away) | 0-0 | NB I |
| Sep 24, 2014 | Szombathelyi Haladas(home) | 2-0 | Magyar Kupa |
How many goals should we expect?
Ajka score 1.6 and concede 1.5 goals per match over their last 15; Ujpest score 2.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajka | 1.6 | 1.5 | 3 | 6/15 | 9/15 |
| Ujpest | 2.0 | 0.5 | 9 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Ajka vs Ujpest?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy