Swansea vs Wrexham Prediction, Tips & Odds
Swansea vs Wrexham


Match Preview
The model favours Swansea to win against Wrexham, projecting a scoreline of 2-1. Positioned eighth in the Championship, Swansea has made a solid start to the season with one win and one draw from their opening two matches. Their goal difference of +1, with two goals scored and just one conceded, highlights a balanced approach. The team has shown resilience, collecting four points early on, which could set the tone for their campaign. In contrast, Wrexham sits in fourteenth place with two draws and no wins thus far. They have managed to score two goals but have also conceded two, leading to a goal difference of zero. Despite their unbeaten start, their inability to secure a win could be a concern. The recent form shows two draws followed by three losses, indicating a struggle to convert performances into positive results. According to the model, Swansea has a win probability of approximately 55%, with the projected score again being 2-1. A potential caveat for Swansea could be complacency, as they may underestimate a Wrexham side that is still searching for its first win. For a detailed understanding of how we reached this prediction, refer to the "How We Reached This Prediction" section. This analysis comes from The Daily Punt Analysis Team, which uses an in-house model based on expected goals and actual results throughout the season.
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.
Swansea manage games at home, conceding just 1.14 goals per match. Wrexham score 1.37 on the road.
The most likely scoreline per our model at 16.8% probability.
Swansea have been the stronger side, winning 45% of their matches.
Our model projects a 1-1 draw as the most likely scoreline at 16.8% probability. 3 of the top six outcomes feature Swansea clean sheets, in line with their 38% clean-sheet rate this season.
Lines averaged across 6 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 Wrexham| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 2.14 | 3.35 | 3.30 | 1.95 | 1.83 | 1.75 | 2.00 | |
| 2.23 | 3.32 | 3.10 | 1.99 | 1.79 | 1.76 | 1.93 | |
| 2.10 | 3.40 | 3.40 | 1.90 | 1.87 | 1.75 | 2.05 | |
| 2.40 | 3.40 | 3.10 | 2.08 | 1.83 | — | — | |
| 2.09 | 2.98 | 2.96 | 1.99 | 1.83 | — | — | |
| 2.30 | 3.20 | 3.00 | — | — | 1.75 | 2.00 | |
| 2.30 | 3.20 | 3.20 | 2.00 | 1.80 | 1.73 | 2.00 | |
| 2.28 | 3.32 | 3.06 | 2.00 | 1.78 | 1.76 | 1.96 | |
| 2.18 | 3.35 | 3.15 | 1.93 | 1.80 | 1.74 | 1.98 | |
Betano | 2.18 | 3.45 | 3.30 | 2.02 | 1.85 | 1.78 | 1.98 |
BetVictor | 2.30 | 3.30 | 3.10 | 1.94 | 1.74 | 1.75 | 1.95 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 2 Meetings (evenly matched 1-1)



The head-to-head record between Swansea and Wrexham stands at 1 win for Swansea and 1 win for Wrexham, with no draws in their last two encounters. The scorelines reflect a competitive balance, with Swansea winning 2-1 and Wrexham winning 2-0. Both matches were relatively close, indicating neither side has dominated the other recently. The most recent victory for Wrexham came in March 2026, while Swansea's last win was in December 2025, suggesting that both teams are capable of securing results against one another.
Championship Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 7 | 4 | 2 | 1 | 20 | 9 | 11 | 14 | WWWWD | |
| 2 | 6 | 4 | 1 | 1 | 9 | 6 | 3 | 13 | WWDLW | |
| 3 | 6 | 3 | 2 | 1 | 8 | 4 | 4 | 11 | LDWWD | |
| 4 | 6 | 3 | 2 | 1 | 7 | 4 | 3 | 11 | DLWWD | |
| 5 | 6 | 3 | 2 | 1 | 6 | 7 | -1 | 11 | DLDWW | |
| 6 | 5 | 3 | 1 | 1 | 8 | 5 | 3 | 10 | WDWLW | |
| 16 | 7 | 1 | 4 | 2 | 7 | 11 | -4 | 7 | LDDWL | |
| 22 | 6 | 1 | 1 | 4 | 5 | 11 | -6 | 4 | LLWLD | |
| 23 | 6 | 0 | 3 | 3 | 7 | 13 | -6 | 3 | DLDLL | |
| 24 | 6 | 1 | 0 | 5 | 6 | 12 | -6 | 3 | LWLLL |
Venue Record
Current season at home / on the roadKey Statistics
2026 Season
Swansea have won 8 of their last 17 matches at home, drawing 5 and losing 4. Their recent home fixtures include drew with Wrexham 0-0 and beat Watford 2-0.
Overall, the wider run reads 13W 7D 9L from the last 29 games (45% win rate). The form line is positive, with more wins than defeats across the sample.













Wrexham have won 7 of their last 16 matches on the road, drawing 4 and losing 5. Their recent away fixtures include drew with Wrexham 0-0 and beat Millwall 0-3.
Overall, the wider run reads 13W 6D 11L from the last 30 games (43% win rate). The form line is positive, with more wins than defeats across the sample.












Lineups
Confirmed
Swansea4-3-3Confirmed
Wrexham3-4-2-1Confirmed
Unavailable Players
9 players
Swansea4
Wrexham5
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
E. Bell 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 6.0 corners per match at home; Wrexham 4.0 on the road. Combined that projects roughly 6.0 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Swansea have generated 1.78 xG per game across their recent matches, winning 45% of them. They put 5.0 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Swansea 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.



