Martfűi LSE vs Szeged-Csanád II: result 2-1 and analysis
NB III - SoutheastSoutheast - 8Kick-off on September 24, 2023 at 02:00 PM (UTC)Martfű LSE Sporttelep, Martfű
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What was the result of Martfűi LSE vs Szeged-Csanád II?
Martfűi LSE won 2-1 on September 24, 2023.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Martfűi LSE have 2 wins, 2 draws and 3 defeats; Szeged-Csanád II have 1, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2023 | Bekescsaba 1912(away) | 0-7 | NB III - Southeast |
| Sep 3, 2023 | ESMTK(home) | 3-2 | NB III - Southeast |
| Aug 30, 2023 | BKV Előre(away) | 2-0 | NB III - Southeast |
| Aug 19, 2023 | Dabas(home) | 2-3 | NB III - Southeast |
| Aug 13, 2023 | Honvéd II(away) | 2-2 | NB III - Southeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2023 | Füzesgyarmati(home) | 4-2 | NB III - Southeast |
| Sep 3, 2023 | Kecskeméti TE II(away) | 0-0 | NB III - Southeast |
| Aug 30, 2023 | Monori Se(home) | 1-1 | NB III - Southeast |
| Aug 19, 2023 | Pénzügyőr(away) | 1-3 | NB III - Southeast |
| Aug 13, 2023 | Cegledi VSE(home) | 0-1 | NB III - Southeast |
How many goals should we expect?
Martfűi LSE score 1.6 and concede 2.7 goals per match over their last 7; Szeged-Csanád II score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Martfűi LSE | 1.6 | 2.7 | 1 | 5/7 | 5/7 |
| Szeged-Csanád II | 0.9 | 1.3 | 1 | 3/7 | 2/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Szeged-Csanád II | 15 | 6 | 6 | 3 | 27 | 20 | 24 |
A question about Martfűi LSE vs Szeged-Csanád II?
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