Croatia vs Ghana Prediction, Tips & Odds
Croatia vs Ghana
Match Preview
Croatia enters this World Cup group stage match against Ghana with a strong tournament pedigree, having finished as runners-up in 2018 and claimed third place in 2022. Their recent competitive form includes a mix of results, but they have shown resilience, winning three of their last five competitive matches, including a victory over Montenegro in their last competitive outing. Under the management of Zlatko Dalić since 2017, Croatia has developed a tactical identity that leverages their experience and skill, which may prove crucial in this early stage of the tournament. On the other hand, Ghana has struggled in recent friendlies, with a disappointing record of just one win in their last eight matches. Their only victory came against Comoros, while they faced several defeats against stronger opponents like Mexico and Germany. Managed by Carlos Queiroz since April 2026, Ghana will need to significantly improve their performance if they hope to challenge Croatia effectively. Both teams are starting their campaigns with everything to play for in Group L. A win for Croatia could solidify their path to the knockout stages, while Ghana will be eager to turn their recent form around and make a statement. However, the uncertainty of tournament football means that anything can happen, especially given the small sample of recent competitive results for both sides. While Croatia looks to capitalize on their experience and recent form, Ghana must find a way to overcome their struggles in friendlies. The Daily Punt Analysis Team uses an in-house model that reads the fixture through aggregated bookmaker probabilities and tournament context, but no model probability is available for this match.
About the Teams
Croatia
Ghana
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
Croatia have kept a clean sheet in 33% of matches. Ghana average 1.1 goals per game.
Croatia manage games at home, conceding just 1.00 goals per match. Ghana score 1.09 on the road.
The most likely scoreline per our model at 18.9% probability.
Croatia have been the stronger side, winning 75% of their matches.
Our model projects a 1-0 Croatia win as the most likely scoreline at 18.9% probability. 3 of the top six outcomes feature Croatia clean sheets, in line with their 33% clean-sheet rate this season.
Lines averaged across 6 bookmakers. Croatia 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
Croatia vs Ghana| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 1.81 | 3.05 | 5.25 | 2.38 | 1.57 | 2.05 | 1.70 | |
| 1.84 | 3.24 | 5.75 | 2.41 | 1.59 | 2.14 | 1.71 | |
| 1.80 | 3.20 | 5.50 | 2.38 | 1.53 | 2.15 | 1.70 | |
| 1.84 | 3.28 | 5.72 | 2.44 | 1.61 | — | — | |
| 1.85 | 3.24 | 4.92 | 2.47 | 1.60 | — | — | |
| 1.83 | 3.20 | 4.60 | — | — | 2.05 | 1.70 | |
| 1.80 | 3.10 | 5.50 | 2.50 | 1.53 | 2.10 | 1.67 | |
| 1.86 | 3.27 | 5.81 | 2.43 | 1.60 | 2.14 | 1.64 | |
| 1.82 | 3.10 | 5.50 | 2.55 | 1.52 | 2.14 | 1.63 | |
| 1.80 | 3.10 | 4.60 | 2.30 | 1.53 | 2.10 | 1.67 | |
Betano | 1.88 | 3.20 | 5.60 | 2.42 | 1.60 | 2.05 | 1.72 |
BetVictor | 1.80 | 3.10 | 5.25 | 2.21 | 1.57 | 2.00 | 1.70 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 1 Meetings (Croatia leads 1-0)In their only competitive meeting, Croatia has won once against Ghana, with a record of 1 win and 0 draws or losses. This match took place during the 2026 World Cup, where Croatia secured a 2-1 victory. Given that this is the sole encounter between the two nations, the sample size is too small to draw any significant conclusions about a trend or pattern in their matchups.
Group L Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  England | 3 | 2 | 1 | 0 | 6 | 2 | 4 | 7 | WWWDW |
| 2 | Croatia | 3 | 2 | 0 | 1 | 5 | 5 | 0 | 6 | LWWL |
| 3 | Ghana | 3 | 1 | 1 | 1 | 2 | 2 | 0 | 4 | LLDW |
| 4 |  Panama | 3 | 0 | 0 | 3 | 0 | 4 | -4 | 0 | LLL |
Key Statistics
2026 SeasonCroatia have won 6 of their last 7 matches at home, drawing 0 and losing 1. Their recent home fixtures include beat Ghana 2-1 and beat Slovenia 2-1.
Overall, the wider run reads 9W 1D 2L from the last 12 games (75% win rate). The form line is positive, with more wins than defeats across the sample.
Ghana have won 1 of their last 9 matches on the road, drawing 2 and losing 6. Their recent away fixtures include lost to Ghana 2-1 and drew with Wales 1-1.
Overall, the wider run reads 3W 2D 6L from the last 11 games (27% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Lineups
ConfirmedCroatia4-2-3-1Confirmed
Ghana4-3-3Confirmed
Unavailable Players
0 playersCroatia
No reported absences
Ghana
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
D. Fischer has averaged 1.5 yellow cards per match across 2 recent fixtures we have data for. Our pick is under 3.5 yellow cards at 1.95.
Corner Prediction
Croatia have averaged 7.8 corners per match at home; Ghana 2.7 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
Croatia have generated 2.01 xG per game across their recent matches, winning 75% of them. They put 5.6 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Croatia 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.
