Kevitan vs Klosi: result 2-5 and analysis
2nd Division - Group ARegular Season - 24Kick-off on April 28, 2018 at 02:00 PM (UTC)Qendra stërvitore Skënder Halili, Tirana
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What was the result of Kevitan vs Klosi?
Klosi won 2-5 on April 28, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kevitan have 1 win, 2 draws and 12 defeats; Klosi have 13, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 1, 2018 | Gramshi(home) | 2-4 | 2nd Division - Group A |
| Mar 24, 2018 | Sopoti Librazhd(away) | 0-2 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2018 | Tirana II(home) | 1-0 | 2nd Division - Group A |
| Apr 15, 2018 | Gramshi(away) | 2-0 | 2nd Division - Group A |
| Apr 8, 2018 | Internacional Tirana(home) | 2-0 | 2nd Division - Group A |
| Apr 1, 2018 | Kukësi II(away) | 1-0 | 2nd Division - Group A |
| Mar 25, 2018 | Ada Velipojë(home) | 4-2 | 2nd Division - Group A |
What does the head-to-head say?
In the last meeting: 0 Kevitan wins, 0 draws, 1 Klosi win.
| Date | Score | Competition |
|---|---|---|
| Dec 10, 2017 | Klosi 6-2 Kevitan | 2nd Division - Group A |
How many goals should we expect?
Kevitan score 1.3 and concede 3.5 goals per match over their last 15; Klosi score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kevitan | 1.3 | 3.5 | 1 | 10/15 | 11/15 |
| Klosi | 2.3 | 0.9 | 7 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Kevitan vs Klosi?
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