Nagykanizsai ULE vs Balatonfüredi: result 4-1 and analysis
NB III - SouthwestNyugati - 4Kick-off on August 16, 2020 at 03:30 PM (UTC)Olajbányász Sporttelep, Nagykanizsa
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What was the result of Nagykanizsai ULE vs Balatonfüredi?
Nagykanizsai ULE won 4-1 on August 16, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nagykanizsai ULE have 6 wins, 5 draws and 4 defeats; Balatonfüredi have 4, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2020 | Puskás II(away) | 4-1 | NB III - Southwest |
| Aug 9, 2020 | Veszprém(home) | 1-1 | NB III - Southwest |
| Aug 2, 2020 | Nagyatádi(away) | 2-1 | NB III - Southwest |
| Mar 14, 2020 | Bicskei(home) | 0-0 | NB III - Southwest |
| Mar 8, 2020 | Puskás II(away) | 0-4 | NB III - Southwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2020 | Videoton II(home) | 0-1 | NB III - Southwest |
| Aug 9, 2020 | MTE 1904(away) | 0-3 | NB III - Southwest |
| Aug 2, 2020 | Zalaegerszegi TE II(home) | 0-0 | NB III - Southwest |
| Sep 22, 2018 | Biatorbágy(away) | 2-4 | Magyar Kupa |
| Oct 25, 2017 | Paks(home) | 0-7 | Magyar Kupa |
How many goals should we expect?
Nagykanizsai ULE score 1.3 and concede 1.1 goals per match over their last 15; Balatonfüredi score 1.1 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nagykanizsai ULE | 1.3 | 1.1 | 5 | 8/15 | 8/15 |
| Balatonfüredi | 1.1 | 2.6 | 4 | 3/14 | 10/14 |
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 | Nagykanizsai ULE | 30 | 21 | 6 | 3 | 64 | 27 | 69 |
A question about Nagykanizsai ULE vs Balatonfüredi?
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