SZTK-Erima vs Cegledi VSE: result 1-0 and analysis
NB IIRegular Season - 1Kick-off on August 17, 2013 at 03:30 PM (UTC)Sport utcai stadion, Szigetszentmiklós
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What was the result of SZTK-Erima vs Cegledi VSE?
SZTK-Erima won 1-0 on August 17, 2013.
Goalscorers
- 80′T. TakácsSZTK-Erima
Official lineup for SZTK-Erima vs Cegledi VSE
The starting elevens fielded at kick-off.
SZTK-Erima
- AAdam Fekete
- TT. Takács
- JJ. Nagy
- ZZ. Barna
- KK. Kollega
- GG. Khous
- SS. Jakovljević
- EE. Dučić
- II. Jakovljević
- SStipe Miloš
- AAndrás Sánta
Cegledi VSE
- GG. Koós
- VV. Szkunc
- ZZsolt Koncz
- NNorbert Lipusz
- BB. Szalai
- ZZ. Kenderes
- LLászló Kormos
- IIstván Farkas
- RRobson de Sousa Vasconcelos Goes
- LL. Makrai
- ZZoltán Miski
What is the recent form of both teams?
Over their last 15 matches in all competitions, SZTK-Erima have 7 wins, 4 draws and 4 defeats; Cegledi VSE have 2, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2013 | Tatabánya(home) | 2-1 | Magyar Kupa |
| Jun 1, 2013 | Paksi SE II(home) | 2-0 | NB II |
| May 25, 2013 | Szombathelyi Haladás II(away) | 1-1 | NB II |
| May 19, 2013 | Kozarmisleny FC(home) | 1-1 | NB II |
| May 10, 2013 | Csakvar(away) | 0-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2013 | Putnok VSE(away) | 2-0 | Magyar Kupa |
| Aug 11, 2012 | Orosháza(away) | 0-2 | Magyar Kupa |
| Oct 26, 2011 | Debreceni VSC(home) | 0-2 | Magyar Kupa |
| Sep 21, 2011 | Orosháza(home) | 3-0 | Magyar Kupa |
How many goals should we expect?
SZTK-Erima score 1.7 and concede 1.2 goals per match over their last 15; Cegledi VSE score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SZTK-Erima | 1.7 | 1.2 | 5 | 9/15 | 8/15 |
| Cegledi VSE | 1.3 | 1.0 | 2 | 0/4 | 1/4 |
Over the last 15 matches in all competitions.
A question about SZTK-Erima vs Cegledi VSE?
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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