Warri Wolves vs Rivers United: result 0-1 and analysis
NPFLRegular Season - 15Kick-off on May 8, 2016 at 03:00 PM (UTC)Warri Township Stadium, Warri
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What was the result of Warri Wolves vs Rivers United?
Rivers United won 0-1 on May 8, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Warri Wolves have 5 wins, 4 draws and 4 defeats; Rivers United have 7, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2016 | Nasarawa United(away) | 0-2 | NPFL |
| Apr 24, 2016 | Giwa(home) | 2-0 | NPFL |
| Apr 17, 2016 | Ifeanyi Uba(away) | 0-1 | NPFL |
| Apr 14, 2016 | Abia Warriors(home) | 1-0 | NPFL |
| Apr 10, 2016 | MFM(home) | 1-0 | NPFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2016 | Enugu Rangers(home) | 3-1 | NPFL |
| Apr 24, 2016 | Plateau United(away) | 1-2 | NPFL |
| Apr 17, 2016 | Kano Pillars(home) | 1-0 | NPFL |
| Apr 10, 2016 | Heartland(away) | 1-2 | NPFL |
| Apr 6, 2016 | El Kanemi Warriors(home) | 1-0 | NPFL |
How many goals should we expect?
Warri Wolves score 0.5 and concede 0.7 goals per match over their last 13; Rivers United score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Warri Wolves | 0.5 | 0.7 | 9 | 1/13 | 2/13 |
| Rivers United | 1.2 | 1.1 | 6 | 6/14 | 6/14 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Warri Wolves sit 14th in NPFL (10 points from 8 matches) and Rivers United sit 2nd (16 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Rivers United | 8 | 4 | 4 | 0 | 13 | 2 | 16 |
| 14 | Warri Wolves | 8 | 3 | 1 | 4 | 6 | 7 | 10 |
A question about Warri Wolves vs Rivers United?
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