Swansea vs West Ham Prediction, Tips & Odds
Swansea vs West Ham
Match Preview
The model favours Swansea with a projected scoreline of 2-1. Currently sitting at the top of the Championship, Swansea has demonstrated strong form this season with five wins, two draws, and just one loss in their eight matches. They have scored 13 goals while conceding only six, resulting in a goal difference of seven, which highlights their defensive solidity alongside a respectable attacking output. West Ham, in second place, has also had an impressive season with four wins, three draws, and one loss. They lead the league in goals scored with 22 but have conceded 11, resulting in a goal difference of 11. This offensive firepower indicates their ability to score, but their defensive vulnerabilities could be a concern against a team like Swansea that has been effective in both attack and defence. The model suggests a win probability of 55% for Swansea, with a projected score of 2-1. One key market percentage is Swansea winning by at least one goal. However, a potential caveat is that if West Ham's attack finds its rhythm, they could exploit any defensive lapses from Swansea. For a deeper understanding of how we reached this prediction, please refer to the "How We Reached This Prediction" section, where our in-house model analyses expected goals and actual results across the season. The Daily Punt Analysis Team is committed to providing data-driven insights to help you make informed decisions.
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 (3.3 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 15.2% probability.
Swansea have been the stronger side, winning 51% of their matches.
Our model projects a 1-1 draw as the most likely scoreline at 15.2% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 5 bookmakers. Swansea 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
Swansea vs West Ham| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 2.90 | 3.54 | 2.23 | 1.72 | 2.05 | 1.58 | 2.20 | |
| 3.10 | 3.50 | 2.20 | 1.73 | 2.10 | 1.60 | 2.30 | |
| 2.96 | 3.65 | 2.34 | 1.78 | 2.11 | — | — | |
| 2.78 | 3.04 | 2.16 | 1.74 | 2.08 | — | — | |
| 2.90 | 3.40 | 2.30 | — | — | 1.57 | 2.30 | |
| 2.90 | 3.70 | 2.20 | 1.73 | 2.10 | 1.62 | 2.20 | |
| 2.91 | 3.54 | 2.25 | 1.72 | 2.05 | 1.58 | 2.23 | |
Betano | 3.25 | 3.75 | 2.10 | 1.78 | 2.10 | 1.65 | 2.15 |
BetVictor | 2.90 | 3.50 | 2.25 | 1.70 | 2.00 | 1.57 | 2.25 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 10 Meetings (West Ham leads 5-2)In the last 10 matches between Swansea and West Ham, West Ham has won 5 times, Swansea has won 2, and there have been 3 draws. The scorelines indicate a somewhat competitive rivalry, though West Ham has a slight edge. Notably, there have been a mix of close encounters, such as the 1-0 wins for West Ham and the 0-0 draws, alongside more decisive results like Swansea's 4-1 victory in 2018 and West Ham's 4-1 win in 2016. Swansea has not won against West Ham since 2018, highlighting a recent trend of West Ham dominance in this matchup.
Championship Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Swansea | 10 | 7 | 2 | 1 | 16 | 7 | 9 | 23 | WWWWL |
| 2 |  Middlesbrough | 10 | 6 | 3 | 1 | 20 | 14 | 6 | 21 | WWDDW |
| 3 | West Ham | 10 | 5 | 4 | 1 | 29 | 12 | 17 | 19 | WDDWW |
| 4 |  Birmingham | 10 | 4 | 5 | 1 | 17 | 11 | 6 | 17 | WWDWL |
| 5 |  QPR | 10 | 4 | 5 | 1 | 15 | 9 | 6 | 17 | WDDDD |
| 6 |  Wolves | 10 | 5 | 2 | 3 | 18 | 15 | 3 | 17 | WLLWW |
| 22 |  Watford | 10 | 2 | 2 | 6 | 8 | 19 | -11 | 8 | LLLLW |
| 23 |  Derby | 10 | 1 | 3 | 6 | 9 | 19 | -10 | 6 | LDDLL |
| 24 |  Preston | 10 | 1 | 1 | 8 | 8 | 20 | -12 | 4 | LLDLL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonSwansea have won 10 of their last 19 matches at home, drawing 5 and losing 4. Their recent home fixtures include beat Swansea 2-1 and beat Swansea 3-1.
Overall, the wider run reads 18W 7D 10L from the last 35 games (51% win rate). The form line is positive, with more wins than defeats across the sample.
West Ham have won 7 of their last 19 matches on the road, drawing 7 and losing 5. Their recent away fixtures include drew with Millwall 2-2 and beat Bolton 2-3.
Overall, the wider run reads 15W 13D 8L from the last 36 games (42% 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
5 playersSwansea4
West Ham1
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
Josh Smith has averaged 7.0 yellow cards per match across 1 recent fixtures we have data for. Our pick is over 4.5 yellow cards at 1.85.
Corner Prediction
Swansea have averaged 4.2 corners per match at home; West Ham 6.5 on the road. Combined that projects roughly 6.3 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Swansea have generated 1.75 xG per game across their recent matches, winning 51% of them. They put 5.1 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Swansea player to score or assist at 1.55 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.
