UPDF vs Kyetume: result 4-2 and analysis
Premier LeagueRegular Season - 18Kick-off on April 17, 2021 at 01:00 PM (UTC)Bombo Stadium, Bombo
Full time
What was the result of UPDF vs Kyetume?
UPDF won 4-2 on April 17, 2021.
Goalscorers
- 1′?Kyetume
- 8′?UPDF
- 10′?UPDF
- 45′?UPDF
- 63′?UPDF
- 74′?Kyetume
What is the recent form of both teams?
Over their last 15 matches in all competitions, UPDF have 6 wins, 1 draw and 8 defeats; Kyetume have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2021 | Police(away) | 0-3 | Premier League |
| Apr 2, 2021 | Vipers(home) | 0-3 | Premier League |
| Mar 16, 2021 | Wakiso Giants(home) | 0-0 | Premier League |
| Mar 12, 2021 | MYDA(away) | 3-0 | Premier League |
| Mar 9, 2021 | Express(home) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2021 | BUL(away) | 1-1 | Premier League |
| Apr 3, 2021 | Police(home) | 0-3 | Premier League |
| Mar 18, 2021 | MYDA(home) | 0-1 | Premier League |
| Mar 13, 2021 | Express(away) | 0-0 | Premier League |
| Mar 9, 2021 | KCCA(home) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 UPDF wins, 0 draws, 1 Kyetume win.
| Date | Score | Competition |
|---|---|---|
| Dec 16, 2020 | Kyetume 1-0 UPDF | Premier League |
How many goals should we expect?
UPDF score 0.7 and concede 1.3 goals per match over their last 15; Kyetume score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UPDF | 0.7 | 1.3 | 6 | 2/15 | 6/15 |
| Kyetume | 0.7 | 1.5 | 3 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | UPDF | 4 | 1 | 2 | 1 | 2 | 2 | 5 |
A question about UPDF vs Kyetume?
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