Qormi vs Rabat Ajax: result 5-2 and analysis
Challenge LeagueRegular Season - 6Kick-off on October 30, 2017 at 05:00 PM (UTC)Qormi Football Complex, Qormi
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What was the result of Qormi vs Rabat Ajax?
Qormi won 5-2 on October 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Qormi have 9 wins, 4 draws and 2 defeats; Rabat Ajax have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Pietà Hotspurs(away) | 4-1 | Challenge League |
| Oct 2, 2017 | Mqabba(home) | 2-1 | Challenge League |
| Sep 23, 2017 | Zabbar St. Patrick(away) | 3-0 | Challenge League |
| Sep 15, 2017 | Sirens(home) | 1-0 | Challenge League |
| Sep 10, 2017 | Marsa(away) | 3-2 | Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2017 | Melita(home) | 1-4 | Challenge League |
| Oct 1, 2017 | Pembroke Athleta(away) | 1-4 | Challenge League |
| Sep 24, 2017 | Zebbug Rangers(home) | 2-3 | Challenge League |
| Sep 17, 2017 | Zejtun Corinthians(home) | 0-1 | Challenge League |
| Sep 11, 2017 | Pietà Hotspurs(away) | 0-4 | Challenge League |
What does the head-to-head say?
Across the last 2 meetings: 1 Qormi win, 1 draw, 0 Rabat Ajax wins.
| Date | Score | Competition |
|---|---|---|
| Apr 2, 2017 | Qormi 2-2 Rabat Ajax | Challenge League |
| Dec 2, 2016 | Rabat Ajax 0-1 Qormi | Challenge League |
How many goals should we expect?
Qormi score 1.8 and concede 0.9 goals per match over their last 15; Rabat Ajax score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Qormi | 1.8 | 0.9 | 5 | 9/15 | 8/15 |
| Rabat Ajax | 1.3 | 2.3 | 0 | 13/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Qormi vs Rabat Ajax?
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