Nagykanizsai ULE vs Szekszárd: result 5-2 and analysis
NB III - SouthwestSouthwest - 13Kick-off on October 29, 2023 at 12:00 PM (UTC)Olajbányász Sporttelep, Nagykanizsa
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What was the result of Nagykanizsai ULE vs Szekszárd?
Nagykanizsai ULE won 5-2 on October 29, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nagykanizsai ULE have 9 wins, 3 draws and 3 defeats; Szekszárd have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2023 | Paksi SE II(away) | 6-4 | NB III - Southwest |
| Oct 15, 2023 | Videoton II(away) | 5-1 | NB III - Southwest |
| Oct 8, 2023 | Dunaföldvár(home) | 3-1 | NB III - Southwest |
| Oct 1, 2023 | Gárdony(away) | 3-5 | NB III - Southwest |
| Sep 24, 2023 | PTE-PEAC(home) | 4-1 | NB III - Southwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2023 | Dunaföldvár(home) | 0-0 | NB III - Southwest |
| Oct 15, 2023 | Gárdony(away) | 3-0 | NB III - Southwest |
| Oct 8, 2023 | PTE-PEAC(home) | 2-0 | NB III - Southwest |
| Oct 1, 2023 | Szentlőrinc SE(away) | 0-2 | NB III - Southwest |
| Sep 24, 2023 | Érdi VSE(home) | 2-2 | NB III - Southwest |
How many goals should we expect?
Nagykanizsai ULE score 3.1 and concede 1.4 goals per match over their last 15; Szekszárd score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nagykanizsai ULE | 3.1 | 1.4 | 5 | 9/15 | 10/15 |
| Szekszárd | 0.9 | 1.9 | 3 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Szekszárd | 14 | 0 | 0 | 14 | 6 | 53 | 0 |
A question about Nagykanizsai ULE vs Szekszárd?
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