Klosi vs Kevitan: prediction and stats
2nd Division - Group AGroup A - 2Kick-off on September 23, 2018 at 12:00 AM (UTC)Stadiumi Liri Ballabani, Burreli
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Klosi have 12 wins, 0 draws and 3 defeats; Kevitan have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2018 | Luzi 2008(away) | 0-1 | 2nd Division - Group A |
| May 13, 2018 | Luzi 2008(home) | 0-2 | 2nd Division - Group A |
| May 5, 2018 | Partizani Tirana II(away) | 2-1 | 2nd Division - Group A |
| Apr 28, 2018 | Kevitan(away) | 5-2 | 2nd Division - Group A |
| Apr 22, 2018 | Tirana II(home) | 1-0 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Partizani Tirana II(home) | 0-7 | 2nd Division - Group A |
| Apr 28, 2018 | Klosi(home) | 2-5 | 2nd Division - Group A |
| Apr 22, 2018 | Veleçiku Koplik(away) | 1-7 | 2nd Division - Group A |
| Apr 15, 2018 | Tirana II(home) | 0-2 | 2nd Division - Group A |
| Apr 7, 2018 | Vora(away) | 0-5 | 2nd Division - Group A |
What does the head-to-head say?
Across the last 2 meetings: 2 Klosi wins, 0 draws, 0 Kevitan wins.
| Date | Score | Competition |
|---|---|---|
| Apr 28, 2018 | Kevitan 2-5 Klosi | 2nd Division - Group A |
| Dec 10, 2017 | Klosi 6-2 Kevitan | 2nd Division - Group A |
How many goals should we expect?
Klosi score 1.9 and concede 0.9 goals per match over their last 15; Kevitan score 1.2 and concede 3.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Klosi | 1.9 | 0.9 | 6 | 6/15 | 6/15 |
| Kevitan | 1.2 | 3.9 | 1 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Klosi vs Kevitan?
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