Wikki Tourist vs Giwa: prediction and stats
NPFLRegular Season - 34Kick-off on September 4, 2016 at 12:00 AM (UTC)Abubakar Tafawa Balewa Stadium, Bauchi
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Wikki Tourist have 7 wins, 5 draws and 3 defeats; Giwa have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2016 | Lobi Stars(home) | 1-1 | NPFL |
| Aug 28, 2016 | Ifeanyi Uba(away) | 0-1 | NPFL |
| Aug 21, 2016 | MFM(home) | 2-1 | NPFL |
| Jul 31, 2016 | Akwa United(away) | 0-3 | NPFL |
| Jul 23, 2016 | Abia Warriors(home) | 2-0 | NPFL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2016 | Lobi Stars(away) | 0-2 | NPFL |
| May 11, 2016 | Akwa United(home) | 0-3 | NPFL |
| May 7, 2016 | Abia Warriors(away) | 0-1 | NPFL |
| May 1, 2016 | Wikki Tourist(home) | 0-3 | NPFL |
| Apr 27, 2016 | Enugu Rangers(home) | 0-1 | NPFL |
What does the head-to-head say?
In the last meeting: 1 Wikki Tourist win, 0 draws, 0 Giwa wins.
| Date | Score | Competition |
|---|---|---|
| May 1, 2016 | Giwa 0-3 Wikki Tourist | NPFL |
How many goals should we expect?
Wikki Tourist score 1.2 and concede 0.8 goals per match over their last 15; Giwa score 0.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Wikki Tourist | 1.2 | 0.8 | 6 | 6/15 | 5/15 |
| Giwa | 0.7 | 1.6 | 2 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 20 | Wikki Tourist | 38 | 9 | 13 | 16 | 36 | 48 | 40 |
A question about Wikki Tourist vs Giwa?
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
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