Tromso vs Hradec Králové Prediction, Tips & Odds
Tromso vs Hradec Králové
Match Preview
The model favours Tromso to win this match against Hradec Králové, projecting a scoreline of 2-1. Tromso comes into this fixture with a mixed recent form, having secured two wins, two draws, and suffered one loss in their last five matches. This record indicates a degree of resilience, particularly at home, where they tend to perform better. On the other hand, Hradec Králové has shown slightly stronger form recently, with three wins, one draw, and one loss in their last five matches. This positive trend might boost their confidence heading into this important qualifier, but they will need to translate that into a strong performance away from home to challenge Tromso effectively. According to the model, Tromso has a win probability that reflects their slight edge based on recent form and home advantage. However, one caveat to consider is the potential for Hradec Králové to exploit any defensive lapses from Tromso, which could lead to an upset. The full methodology, which incorporates expected goals and actual results, can be found in the "How We Reached This Prediction" section, as detailed by The Daily Punt Analysis Team.
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
Tromso have kept a clean sheet in 54% of matches. Hradec Králové average 1.8 goals per game.
Tromso manage games at home, conceding just 0.88 goals per match. Hradec Králové score 1.75 on the road.
The most likely scoreline per our model at 17.5% probability.
Our model projects a 1-0 Tromso win as the most likely scoreline at 17.5% probability. 3 of the top six outcomes feature Tromso clean sheets, in line with their 54% clean-sheet rate this season.
Best Betting Odds
Tromso vs Hradec Králové| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 1.71 | 3.60 | 4.68 | — | — | — | — | |
Betano | 1.70 | 3.65 | 4.75 | 2.12 | 1.70 | 2.05 | 1.70 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Key Statistics
2026 SeasonTromso have won 11 of their last 16 matches at home, drawing 4 and losing 1. Their recent home fixtures include beat Valerenga 4-0 and beat Orgryte IS 4-1.
Overall, the wider run reads 15W 6D 5L from the last 26 games (58% win rate). The form line is positive, with more wins than defeats across the sample.
Hradec Králové have won 3 of their last 7 matches on the road, drawing 2 and losing 2. Their recent away fixtures include drew with Hradec Králové 1-1 and beat FC Nordsjaelland 0-3.
Overall, the wider run reads 8W 2D 2L from the last 12 games (67% 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 playersTromso
No reported absences
Hradec Králové
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
Tromso average 1.5 goals per match at home; Hradec Králové 1.8 on the road. Open, attack-leaning sides tend to produce more corners; tight, low-event games tend to produce fewer. Our pick is over 9.5 corners at 1.72.
Player Stats Bet
Tromso have generated 1.27 xG per game across their recent matches, winning 58% of them. They put 4.9 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Tromso 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.
