Nyuki vs Rangers: result 1-1 and analysis
Ligue 1Regular Season - 18Kick-off on February 27, 2020 at 01:30 PM (UTC)
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What was the result of Nyuki vs Rangers?
Nyuki and Rangers drew 1-1 on February 27, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nyuki have 2 wins, 2 draws and 11 defeats; Rangers have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2020 | Renaissance(home) | 1-3 | Ligue 1 |
| Feb 9, 2020 | TP Mazembe(home) | 1-5 | Ligue 1 |
| Feb 3, 2020 | Maniema Union(away) | 0-3 | Ligue 1 |
| Jan 30, 2020 | Bukavu Dawa(away) | 0-3 | Ligue 1 |
| Jan 15, 2020 | Dauphins Noirs(home) | 2-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2020 | Bukavu Dawa(home) | 1-0 | Ligue 1 |
| Feb 17, 2020 | Maniema Union(home) | 0-1 | Ligue 1 |
| Feb 9, 2020 | Renaissance(away) | 1-1 | Ligue 1 |
| Feb 5, 2020 | Vita Club(home) | 0-4 | Ligue 1 |
| Jan 26, 2020 | RCK(away) | 1-1 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 Nyuki wins, 0 draws, 1 Rangers win.
| Date | Score | Competition |
|---|---|---|
| Oct 12, 2019 | Rangers 3-1 Nyuki | Ligue 1 |
How many goals should we expect?
Nyuki score 0.7 and concede 2.9 goals per match over their last 15; Rangers score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nyuki | 0.7 | 2.9 | 0 | 8/15 | 14/15 |
| Rangers | 1.1 | 1.3 | 3 | 10/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Rangers | 27 | 7 | 8 | 12 | 21 | 35 | 29 |
A question about Nyuki vs Rangers?
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