Nagykanizsai ULE vs Hévíz: result 2-1 and analysis
NB III - SouthwestNyugati - 6Kick-off on September 8, 2019 at 02:00 PM (UTC)Olajbányász Sporttelep, Nagykanizsa
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What was the result of Nagykanizsai ULE vs Hévíz?
Nagykanizsai ULE won 2-1 on September 8, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Nagykanizsai ULE have 6 wins, 0 draws and 5 defeats; Hévíz have 1, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | III. Kerületi TUE(home) | 0-3 | NB III - Southwest |
| Aug 25, 2019 | Bicskei(away) | 3-1 | NB III - Southwest |
| Aug 18, 2019 | Puskás II(home) | 2-1 | NB III - Southwest |
| Aug 11, 2019 | Komárom(away) | 2-4 | NB III - Southwest |
| Aug 4, 2019 | Lipot SK(home) | 2-0 | NB III - Southwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Pápai Perutz(home) | 0-2 | NB III - Southwest |
| Aug 25, 2019 | III. Kerületi TUE(away) | 0-1 | NB III - Southwest |
| Aug 18, 2019 | Sárvári(home) | 2-2 | NB III - Southwest |
| Aug 11, 2019 | Bicskei(home) | 0-2 | NB III - Southwest |
| Aug 4, 2019 | Érdi VSE(away) | 0-7 | NB III - Southwest |
How many goals should we expect?
Nagykanizsai ULE score 1.7 and concede 1.6 goals per match over their last 11; Hévíz score 1.0 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nagykanizsai ULE | 1.7 | 1.6 | 2 | 6/11 | 7/11 |
| Hévíz | 1.0 | 3.2 | 1 | 3/11 | 6/11 |
Over the last 11 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 Hévíz?
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