Magnisiakos vs Kileler: prediction and stats
Gamma Ethniki - Group 2Group 2 - 25Kick-off on March 3, 2024 at 01:00 PM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 9 matches in all competitions, Magnisiakos have 0 wins, 1 draw and 8 defeats; Kileler have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2023 | Thyella Katsikas(away) | 0-3 | Gamma Ethniki - Group 2 |
| Oct 29, 2023 | Kileler(away) | 0-3 | Gamma Ethniki - Group 2 |
| Oct 22, 2023 | Nea Artaki(home) | 0-2 | Gamma Ethniki - Group 2 |
| Oct 14, 2023 | Thesprotos(away) | 0-2 | Gamma Ethniki - Group 2 |
| Oct 7, 2023 | Lefkimmi(home) | 0-1 | Gamma Ethniki - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2024 | Thyella Katsikas(home) | 1-1 | Gamma Ethniki - Group 2 |
| Feb 18, 2024 | Anagennisi Artas(away) | 2-0 | Gamma Ethniki - Group 2 |
| Feb 11, 2024 | Asteras Petriti(home) | 2-0 | Gamma Ethniki - Group 2 |
| Feb 4, 2024 | Nea Artaki(home) | 0-1 | Gamma Ethniki - Group 2 |
| Jan 28, 2024 | Thesprotos(away) | 1-2 | Gamma Ethniki - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Magnisiakos wins, 0 draws, 1 Kileler win.
| Date | Score | Competition |
|---|---|---|
| Oct 29, 2023 | Kileler 3-0 Magnisiakos | Gamma Ethniki - Group 2 |
Last archived meeting: Kileler vs Magnisiakos on Oct 29, 2023
How many goals should we expect?
Magnisiakos score 0.1 and concede 1.9 goals per match over their last 9; Kileler score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Magnisiakos | 0.1 | 1.9 | 1 | 1/9 | 4/9 |
| Kileler | 0.8 | 0.8 | 6 | 5/15 | 2/15 |
Over the last 9 matches in all competitions.
A question about Magnisiakos vs Kileler?
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