Szolnoki MAV FC vs Pécsi MFC: result 0-1 and analysis
NB IIRegular Season - 12Kick-off on October 18, 2020 at 03:00 PM (UTC)Tiszaligeti Stadion, Szolnok
Full time
What was the result of Szolnoki MAV FC vs Pécsi MFC?
Pécsi MFC won 0-1 on October 18, 2020.
Goalscorers
- 88′C. PrekletPécsi MFC
Official lineup for Szolnoki MAV FC vs Pécsi MFC
The starting elevens fielded at kick-off.
Szolnoki MAV FC
- CC. Novák
- LL. Kurdics
- OO. Kovács
- KK. Tisza
- ÁÁ. Rokszin
- PPéter Berdó
- BB. Tajti
- DD. Horgosi
- BB. Bárdos
- MM. Kotula
- TT. Molnár-Farkas
Pécsi MFC
- MM. Adamcsek
- VV. Tölgyesi
- ZZ. Futó
- NN. Geiger
- DD. Kónya
- MM. Hegedüs
- CC. Preklet
- MM. Króner
- LL. Rácz
- LL. Katona
- DD. Helesfay
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szolnoki MAV FC have 6 wins, 6 draws and 3 defeats; Pécsi MFC have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2020 | Szeghalmi(away) | 10-0 | Magyar Kupa |
| Oct 4, 2020 | Kaposvar(away) | 0-1 | NB II |
| Sep 27, 2020 | Ajka(home) | 1-0 | NB II |
| Sep 16, 2020 | Vasas(away) | 1-1 | NB II |
| Sep 13, 2020 | Szeged 2011(home) | 0-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2020 | Siofok(home) | 1-0 | NB II |
| Sep 28, 2020 | Debreceni VSC(away) | 1-3 | NB II |
| Sep 19, 2020 | Makó(away) | 3-1 | Magyar Kupa |
| Sep 16, 2020 | Budaörs(home) | 0-1 | NB II |
| Sep 13, 2020 | Szombathelyi Haladas(away) | 0-0 | NB II |
How many goals should we expect?
Szolnoki MAV FC score 1.5 and concede 0.8 goals per match over their last 15; Pécsi MFC score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szolnoki MAV FC | 1.5 | 0.8 | 6 | 6/15 | 3/15 |
| Pécsi MFC | 1.1 | 1.0 | 8 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
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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