Malisheva vs Ulpiana: result 1-2 and analysis
SuperligaRegular Season - 11Kick-off on October 23, 2021 at 11:00 AM (UTC)Stadiumi Liman Gegaj, Malishevë
Full time
What was the result of Malisheva vs Ulpiana?
Ulpiana won 1-2 on October 23, 2021.
Goalscorers
- 15′?Ulpiana
- 48′A. ShalaUlpiana
- 89′?Malisheva (pen.)
What is the recent form of both teams?
Over their last 13 matches in all competitions, Malisheva have 3 wins, 3 draws and 7 defeats; Ulpiana have 2, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2021 | Prishtina(away) | 1-2 | Superliga |
| Oct 15, 2021 | Dukagjini(away) | 0-2 | Superliga |
| Oct 2, 2021 | Gjilani(home) | 1-1 | Superliga |
| Sep 29, 2021 | Drenica Skënderaj(away) | 0-1 | Superliga |
| Sep 26, 2021 | Ballkani(home) | 0-0 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2021 | Llapi(home) | 0-6 | Superliga |
| Oct 15, 2021 | Drita(home) | 1-1 | Superliga |
| Oct 3, 2021 | Feronikeli(away) | 0-1 | Superliga |
| Sep 30, 2021 | Prishtina(away) | 1-1 | Superliga |
| Sep 25, 2021 | Dukagjini(home) | 0-0 | Superliga |
What does the head-to-head say?
In the last meeting: 1 Malisheva win, 0 draws, 0 Ulpiana wins.
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2021 | Ulpiana 1-3 Malisheva | Superliga |
How many goals should we expect?
Malisheva score 1.0 and concede 1.2 goals per match over their last 13; Ulpiana score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Malisheva | 1.0 | 1.2 | 3 | 6/13 | 5/13 |
| Ulpiana | 1.0 | 1.9 | 2 | 7/13 | 6/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Malisheva | 8 | 6 | 1 | 1 | 20 | 6 | 19 |
A question about Malisheva vs Ulpiana?
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