Leivadia vs ASPIS: result 3-1 and analysis
3. DivisionRegular Season - 10Kick-off on November 30, 2024 at 12:30 PM (UTC)Dimotiko Gimnastirio Agias Paraskevis, Larnaka (Larnaca)
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What was the result of Leivadia vs ASPIS?
Leivadia won 3-1 on November 30, 2024.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Leivadia have 5 wins, 2 draws and 2 defeats; ASPIS have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2024 | Iraklis Yerolakkou(away) | 0-0 | 3. Division |
| Nov 16, 2024 | Ethnikos Latsion(home) | 0-2 | 3. Division |
| Nov 9, 2024 | Kouris Erimi(away) | 3-1 | 3. Division |
| Nov 2, 2024 | AEP Polemidion(home) | 1-1 | 3. Division |
| Oct 26, 2024 | Kedros Agia Marina(away) | 2-0 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2024 | Anorthosis Mouttagiakas(home) | 1-0 | 3. Division |
| Nov 16, 2024 | Geroskipou(away) | 1-3 | 3. Division |
| Nov 9, 2024 | EN THOI Lakatamia(home) | 1-1 | 3. Division |
| Nov 2, 2024 | Omonia Psevda(away) | 0-1 | 3. Division |
| Oct 27, 2024 | Iraklis Yerolakkou(away) | 0-3 | 3. Division |
How many goals should we expect?
Leivadia score 1.1 and concede 0.8 goals per match over their last 9; ASPIS score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Leivadia | 1.1 | 0.8 | 4 | 3/9 | 2/9 |
| ASPIS | 1.0 | 1.7 | 4 | 4/15 | 7/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Leivadia sit 1st in 3. Division (40 points from 14 matches) and ASPIS sit 8th (22 points from 15 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Leivadia3. Division, Relegation Round | 14 | 8 | 1 | 5 | 26 | 19 | 40 |
| 8 | ASPIS3. Division | 15 | 5 | 7 | 3 | 15 | 12 | 22 |
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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