Feronikeli vs Ulpiana: result 1-0 and analysis
SuperligaRegular Season - 8Kick-off on October 3, 2021 at 01:00 PM (UTC)Stadiumi Rexhep Rexhepi, Drenas (Glogovac)
Full time
What was the result of Feronikeli vs Ulpiana?
Feronikeli won 1-0 on October 3, 2021.
Goalscorers
- 25′?Feronikeli
What is the recent form of both teams?
Over their last 15 matches in all competitions, Feronikeli have 4 wins, 3 draws and 8 defeats; Ulpiana have 2, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2021 | Ballkani(away) | 0-0 | Superliga |
| Sep 26, 2021 | Prishtina(home) | 0-4 | Superliga |
| Sep 18, 2021 | Malisheva(away) | 0-1 | Superliga |
| Sep 15, 2021 | Dukagjini(home) | 1-0 | Superliga |
| Sep 12, 2021 | Llapi(away) | 2-0 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2021 | Prishtina(away) | 1-1 | Superliga |
| Sep 25, 2021 | Dukagjini(home) | 0-0 | Superliga |
| Sep 19, 2021 | Gjilani(away) | 3-2 | Superliga |
| Sep 16, 2021 | Drenica Skënderaj(home) | 0-1 | Superliga |
| Sep 11, 2021 | Ballkani(away) | 2-3 | Superliga |
How many goals should we expect?
Feronikeli score 0.9 and concede 1.3 goals per match over their last 15; Ulpiana score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feronikeli | 0.9 | 1.3 | 4 | 6/15 | 6/15 |
| Ulpiana | 1.2 | 1.7 | 2 | 6/10 | 5/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Feronikeli | 8 | 2 | 1 | 5 | 7 | 15 | 7 |
A question about Feronikeli vs Ulpiana?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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