West Ham vs QPR Prediction, Tips & Odds
West Ham vs QPR
Match Preview
The model favours West Ham to win against QPR, projecting a scoreline of 2-1. West Ham currently sits in second place in the Championship, having accumulated 15 points from their first eight matches with a strong goal difference of +11. Their recent form includes three wins, one draw, and one loss, highlighting their attacking strength with 22 goals scored. The team's ability to convert chances into goals will be crucial in this matchup. On the other hand, QPR is positioned sixth in the standings, with 13 points from eight matches, including three wins and four draws. They have shown resilience, only losing once this season, but their scoring has been limited with just 10 goals. Their last five matches have yielded only one victory, indicating a struggle to find consistent form, which could hinder their chances against a high-scoring opponent like West Ham. The model gives West Ham a win probability of 63.5%, with a 20.7% chance of a draw and a 15.7% chance for QPR to win. While West Ham is favoured, a potential caveat is their defensive vulnerabilities, as they have conceded 11 goals this season. The full methodology, which includes an in-house model that analyses expected goals and actual results, is detailed in the "How We Reached This Prediction" section. The Daily Punt Analysis Team stands by this data-driven approach to provide insights into the match.
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
Both attacks have been productive in recent matches, with regular goal-scoring on either side.
Combined goal output is high (3.5 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 13.0% probability.
West Ham have been the stronger side, winning 41% of their matches.
Our model projects a 2-1 West Ham win as the most likely scoreline at 13.0% probability. 3 of the top six outcomes feature West Ham clean sheets, in line with their 29% clean-sheet rate this season.
Lines averaged across 5 bookmakers. West Ham 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
West Ham vs QPR| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 1.48 | 4.45 | 5.70 | 1.48 | 2.33 | 1.62 | 2.13 | |
| 1.50 | 4.50 | 5.50 | 1.50 | 2.55 | 1.57 | 2.38 | |
| 1.49 | 4.73 | 5.71 | 1.53 | 2.51 | — | — | |
| 1.45 | 3.95 | 4.84 | — | — | — | — | |
| 1.50 | 4.33 | 5.00 | — | — | 1.60 | 2.25 | |
| 1.55 | 4.10 | 5.75 | 1.53 | 2.50 | 1.62 | 2.20 | |
| 1.49 | 4.45 | 5.72 | 1.48 | 2.33 | 1.62 | 2.16 | |
Betano | 1.53 | 4.45 | 5.70 | 1.55 | 2.55 | 1.62 | 2.22 |
BetVictor | 1.50 | 4.20 | 5.50 | 1.51 | 2.33 | 1.60 | 2.20 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 5 Meetings (West Ham leads 3-0)In the last five encounters between West Ham and QPR, West Ham has won three times, with two matches ending in draws, while QPR has not secured a victory. The scorelines indicate a generally competitive series, with West Ham winning by narrow margins, such as 2-1 and 2-0, which suggests that while they have the upper hand, matches have often been closely contested. The absence of QPR victories highlights their struggles against West Ham, and their last draw occurred in 2015, indicating a trend of West Ham dominance in recent fixtures.
Championship Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Swansea | 8 | 5 | 2 | 1 | 13 | 6 | 7 | 17 | WWLDW |
| 2 | West Ham | 8 | 4 | 3 | 1 | 22 | 11 | 11 | 15 | DWWWW |
| 3 |  Middlesbrough | 8 | 4 | 3 | 1 | 16 | 12 | 4 | 15 | DDWWD |
| 4 |  Wolves | 7 | 4 | 2 | 1 | 15 | 10 | 5 | 14 | WWDLW |
| 5 |  West Brom | 8 | 4 | 2 | 2 | 10 | 8 | 2 | 14 | LDWWD |
| 6 | QPR | 8 | 3 | 4 | 1 | 10 | 7 | 3 | 13 | DDDLW |
| 22 |  Derby | 8 | 1 | 2 | 5 | 7 | 14 | -7 | 5 | DLLLW |
| 23 |  Preston | 8 | 1 | 1 | 6 | 8 | 15 | -7 | 4 | DLLWL |
| 24 |  Burnley | 8 | 0 | 4 | 4 | 9 | 17 | -8 | 4 | DLDLD |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonWest Ham have won 7 of their last 15 matches at home, drawing 5 and losing 3. Their recent home fixtures include lost to West Ham 2-3 and beat West Ham 6-0.
Overall, the wider run reads 14W 12D 8L from the last 34 games (41% win rate). The form line is positive, with more wins than defeats across the sample.
QPR have won 7 of their last 17 matches on the road, drawing 6 and losing 4. Their recent away fixtures include drew with West Brom 1-1 and drew with Charlton 0-0.
Overall, the wider run reads 13W 9D 10L from the last 32 games (41% win rate). The form line is positive, with more wins than defeats across the sample.
Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
0 playersWest Ham
No reported absences
QPR
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
West Ham have averaged 4.0 corners per match at home; QPR 3.0 on the road. Combined that projects roughly 4.5 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
West Ham have been the stronger side on attack across the season, winning 41% of their matches and averaging 1.9 goals per game. They put 8.0 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. West Ham player to score at 1.85 looks well supported by the data.
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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.
