Niger Tornadoes vs Warri Wolves Prediction, Tips & Odds
Niger Tornadoes vs Warri Wolves


Match Preview
The model favours Niger Tornadoes to win against Warri Wolves, with a projected scoreline of 2-1. Niger Tornadoes currently sit in 8th place in the NPFL standings, having played two matches this season. They have recorded one win and one loss, scoring four goals while conceding four, resulting in a goal difference of zero. Their recent form shows they have managed two wins, two draws, and one loss in their last five matches, indicating a team that can be competitive. In contrast, Warri Wolves are struggling at the bottom of the table in 18th place after just one match, which they lost. They have scored one goal but conceded two, leaving them with a negative goal difference of one. Their recent form reflects inconsistency, with two wins and three losses in their last five matches, suggesting they are still trying to find their rhythm this season. The model predicts a win probability of approximately 65% for Niger Tornadoes, with a projected score of 2-1. However, a potential downside for Niger Tornadoes could be complacency, especially if they underestimate their opponents. For a detailed explanation of how we reached this prediction, please refer to the "How We Reached This Prediction" section. The Daily Punt Analysis Team employs an in-house model that evaluates fixtures through expected goals and actual results across the season.
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
Niger Tornadoes have kept a clean sheet in 45% of matches. Warri Wolves average 0.9 goals per game.
Niger Tornadoes manage games at home, conceding just 1.00 goals per match. Warri Wolves score 0.90 on the road.
The most likely scoreline per our model at 24.2% probability.
Niger Tornadoes have been the stronger side, winning 28% of their matches.
Our model projects a 1-0 Niger Tornadoes win as the most likely scoreline at 24.2% probability. 4 of the top six outcomes feature Niger Tornadoes clean sheets, in line with their 45% clean-sheet rate this season.
Lines averaged across 2 bookmakers. Niger Tornadoes are the favourites on the spread, so the larger handicaps pay more if they win comfortably while the smaller lines protect the bet on a narrower result.
Best Betting Odds
Niger Tornadoes vs Warri Wolves| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 1.35 | 3.60 | 9.60 | 2.42 | 1.44 | 2.92 | 1.32 | |
| 1.36 | 3.75 | 9.00 | โ | โ | โ | โ | |
| 1.36 | 3.60 | 9.00 | โ | โ | 2.90 | 1.35 | |
| 1.42 | 3.70 | 7.50 | 2.60 | 1.48 | โ | โ | |
| 1.36 | 3.60 | 10.30 | 2.42 | 1.44 | 2.92 | 1.34 | |
Betano | 1.44 | 3.70 | 8.00 | 2.37 | 1.45 | 2.67 | 1.36 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 4 Meetings (evenly matched 1-1)







The head-to-head record between Niger Tornadoes and Warri Wolves stands at 1 win for Niger Tornadoes, 2 draws, and 1 win for Warri Wolves over the last four matches. The scorelines indicate a generally tight contest, with three of the four matches ending in draws or a single goal difference. Notably, both teams have managed to keep the scoring low, with only one match featuring more than two goals. The last win for either side was in 2016, suggesting a competitive rivalry where neither team has dominated in recent encounters.
NPFL Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 9 | 4 | 5 | 0 | 13 | 2 | 11 | 17 | DDWDD | |
| 2 | 8 | 5 | 2 | 1 | 14 | 9 | 5 | 17 | DWWLW | |
| 3 | 9 | 4 | 3 | 2 | 13 | 11 | 2 | 15 | WWDDD | |
| 4 | 9 | 4 | 2 | 3 | 15 | 11 | 4 | 14 | LWLWD | |
| 5 | 9 | 3 | 5 | 1 | 12 | 9 | 3 | 14 | DDLDW | |
| 6 | 9 | 4 | 2 | 3 | 10 | 8 | 2 | 14 | WWDWL | |
| 11 | 9 | 3 | 3 | 3 | 8 | 8 | 0 | 12 | WDWLD | |
| 14 | 9 | 3 | 2 | 4 | 6 | 7 | -1 | 11 | DWLLW | |
| 18 | 9 | 2 | 2 | 5 | 11 | 14 | -3 | 8 | DLWWD | |
| 19 | 9 | 2 | 2 | 5 | 10 | 13 | -3 | 8 | LDLDL | |
| 20 | 9 | 1 | 2 | 6 | 5 | 18 | -13 | 2 | LLDLD |
Venue Record
Current season at home / on the roadKey Statistics
2027 Season
Niger Tornadoes have won 8 of their last 15 matches at home, drawing 7 and losing 0. Their recent home fixtures include beat Ikorodu City 2-1 and beat Kun Khalifat FC 1-0.
Overall, the wider run reads 8W 10D 11L from the last 29 games (28% win rate). The form line has been negative, with defeats outweighing wins across the sample.













Warri Wolves have won 1 of their last 16 matches on the road, drawing 3 and losing 12. Their recent away fixtures include drew with Warri Wolves 0-0 and lost to Doma United 1-0.
Overall, the wider run reads 10W 6D 13L from the last 29 games (34% 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
Niger Tornadoes
No reported absences
Warri Wolves
No reported absences
Betting Strategy
High-probability picks are the most likely outcomes. Value selections are markets where our model's probability sits above the price implied by the odds. They will not always come in, but the odds are in your favour over time.
Yellow Card Prediction
The referee for this fixture has not been confirmed, so we are sitting this card market out.
Corner Prediction
Niger Tornadoes average 0.8 goals per match at home; Warri Wolves 0.9 on the road. Open, attack-leaning sides tend to produce more corners; tight, low-event games tend to produce fewer. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Niger Tornadoes have been the stronger side on attack across the season, winning 28% of their matches and averaging 0.8 goals per game. Niger Tornadoes player to score at 1.85 looks well supported by the data.
What's Your Prediction?
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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.




