Martfűi LSE vs Csep-Gól: result 4-5 and analysis
NB III - SoutheastSoutheast - 14Kick-off on November 3, 2024 at 12:00 PM (UTC)Martfű LSE Sporttelep, Martfű
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What was the result of Martfűi LSE vs Csep-Gól?
Csep-Gól won 4-5 on November 3, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Martfűi LSE have 7 wins, 3 draws and 5 defeats; Csep-Gól have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2024 | Gyulai Termál(away) | 0-0 | NB III - Southeast |
| Oct 13, 2024 | BKV Előre(home) | 3-2 | NB III - Southeast |
| Oct 6, 2024 | Szegedi VSE(away) | 0-4 | NB III - Southeast |
| Sep 29, 2024 | Tiszakecske FC(home) | 0-1 | NB III - Southeast |
| Sep 22, 2024 | Dabas(away) | 1-2 | NB III - Southeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2024 | Tiszaföldvár(home) | 1-2 | NB III - Southeast |
| Oct 20, 2024 | Honvéd II(away) | 0-3 | NB III - Southeast |
| Oct 13, 2024 | Kecskeméti TE II(home) | 2-0 | NB III - Southeast |
| Oct 6, 2024 | Gyulai Termál(away) | 0-1 | NB III - Southeast |
| Sep 29, 2024 | Pénzügyőr(home) | 1-1 | NB III - Southeast |
How many goals should we expect?
Martfűi LSE score 1.3 and concede 1.2 goals per match over their last 15; Csep-Gól score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Martfűi LSE | 1.3 | 1.2 | 5 | 7/15 | 7/15 |
| Csep-Gól | 1.5 | 1.7 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Martfűi LSE sit 15th in NB III - Southeast (20 points from 30 matches) and Csep-Gól sit 6th (49 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Csep-Gól | 30 | 15 | 4 | 11 | 50 | 41 | 49 |
| 15 | Martfűi LSE | 30 | 6 | 2 | 22 | 26 | 75 | 20 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy