Fushë Kosova vs Prishtina: result 2-2 and analysis
SuperligaRegular Season - 8Kick-off on October 2, 2023 at 01:00 PM (UTC)Stadiumi Sami Kelmendi, Lipjan
Full time
What was the result of Fushë Kosova vs Prishtina?
Fushë Kosova and Prishtina drew 2-2 on October 2, 2023.
Goalscorers
- 40′A. MujaPrishtina
- 47′H. HyseniPrishtina
- 51′Armend AbaziFushë Kosova (pen.)
- 90′D. IvkičFushë Kosova
What is the recent form of both teams?
Over their last 11 matches in all competitions, Fushë Kosova have 1 win, 2 draws and 8 defeats; Prishtina have 4, 8 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2023 | Ballkani(home) | 0-2 | Superliga |
| Sep 23, 2023 | Dukagjini(away) | 0-1 | Superliga |
| Sep 16, 2023 | Drita(home) | 1-1 | Superliga |
| Sep 2, 2023 | Liria Prizren(away) | 1-2 | Superliga |
| Aug 27, 2023 | Llapi(home) | 1-2 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2023 | Dukagjini(home) | 2-2 | Superliga |
| Sep 24, 2023 | Drita(away) | 0-3 | Superliga |
| Sep 17, 2023 | Liria Prizren(home) | 1-1 | Superliga |
| Sep 3, 2023 | Llapi(away) | 0-0 | Superliga |
| Aug 26, 2023 | Malisheva(home) | 3-1 | Superliga |
How many goals should we expect?
Fushë Kosova score 0.7 and concede 2.1 goals per match over their last 11; Prishtina score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fushë Kosova | 0.7 | 2.1 | 1 | 5/11 | 5/11 |
| Prishtina | 1.2 | 0.9 | 5 | 8/15 | 6/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Prishtina | 9 | 7 | 2 | 0 | 20 | 5 | 23 |
A question about Fushë Kosova vs Prishtina?
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