Enyimba vs Warri Wolves Prediction, Tips & Odds
Enyimba vs Warri Wolves


Match Preview
The model favours Enyimba to win against Warri Wolves, projecting a scoreline of 1-0. Enyimba currently sits in 15th place in the league, having struggled for consistency with two wins, one draw, and four losses from their seven matches. They have scored nine goals while conceding ten, resulting in a goal difference of -1. Their recent form shows some promise, with two wins in their last five matches, suggesting they are capable of turning their season around. On the other hand, Warri Wolves are at the bottom of the table in 18th place, also with two wins, one draw, and four losses. They have managed to score only three goals in seven matches while conceding six, resulting in a negative goal difference of -3. Despite having a similar overall points tally of seven, their recent performances have been less encouraging, with only one win in their last five matches. This suggests that they may struggle to find the back of the net against a slightly more resilient Enyimba side. The model gives Enyimba a win probability of approximately 55%, while Warri Wolves have a 20% chance, indicating that the match is relatively balanced given both teams’ struggles this season. A key caveat to consider is that both teams have shown inconsistency, which could lead to an unexpected outcome. For a detailed explanation of the prediction, please refer to the "How We Reached This Prediction" section. This analysis is brought to you by The Daily Punt Analysis Team, using an in-house model that evaluates fixtures through expected goals and actual results across the season.
Head to Head
Last 8 Meetings (Warri Wolves leads 2-1)















The head-to-head record between Enyimba and Warri Wolves shows Enyimba winning 1 match, drawing 3, and Warri Wolves winning 2 out of the last 8 encounters. The scorelines indicate a relatively balanced contest, with several matches ending in draws and only a few narrow victories. Notably, both teams have managed to secure a win with a single goal margin, and the last three matches included two draws and one win for Warri Wolves. The absence of heavy defeats suggests that neither side has dominated the other significantly in recent history.
NPFL Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 8 | 5 | 2 | 1 | 14 | 9 | 5 | 17 | DWWLW | |
| 2 | 8 | 4 | 4 | 0 | 13 | 2 | 11 | 16 | DWDDW | |
| 3 | 8 | 4 | 2 | 2 | 13 | 8 | 5 | 14 | WLWDW | |
| 4 | 8 | 3 | 4 | 1 | 12 | 9 | 3 | 13 | DLDWD | |
| 5 | 8 | 4 | 1 | 3 | 10 | 10 | 0 | 13 | LWLDL | |
| 6 | 8 | 3 | 3 | 2 | 10 | 7 | 3 | 12 | WLDWL | |
| 13 | 8 | 3 | 1 | 4 | 6 | 7 | -1 | 10 | WLLWD | |
| 18 | 8 | 2 | 2 | 4 | 7 | 14 | -7 | 8 | WLWLL | |
| 19 | 8 | 2 | 1 | 5 | 11 | 14 | -3 | 7 | LWWDL | |
| 20 | 8 | 1 | 2 | 5 | 5 | 13 | -8 | 2 | LDLDW |
Venue Record
Current season at home / on the roadKey Statistics
2027 Season
Enyimba have won 9 of their last 14 matches at home, drawing 2 and losing 3. Their recent home fixtures include beat Enyimba 2-0 and beat Enyimba 4-2.
Overall, the wider run reads 9W 7D 13L from the last 29 games (31% win rate). The form line has been negative, with defeats outweighing wins across the sample.













Warri Wolves have won 1 of their last 15 matches on the road, drawing 2 and losing 12. Their recent away fixtures include lost to Doma United 1-0 and drew with Niger Tornadoes 0-0.
Overall, the wider run reads 10W 5D 13L from the last 28 games (36% win rate). The form line has been negative, with defeats outweighing wins across the sample.












Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
0 players
Enyimba
No reported absences
Warri Wolves
No reported absences
What's Your Prediction?
Pick the result you expect
The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.



