Start vs Ham-Kam Prediction, Tips & Odds
Start vs Ham-Kam
Match Preview
The model favours Ham-Kam to win against Start, projecting a scoreline of 2-1. Ham-Kam currently sits in 13th place, which reflects a better standing compared to Start's position at the bottom of the table. With six wins this season, they have managed to find the net 29 times, although they have also conceded 44 goals, indicating a struggle defensively. Their recent form shows a slight decline, but they have still secured one win in their last five matches. On the other hand, Start is struggling significantly this season, sitting in 16th position with only four wins from 21 matches. Their goal difference of -22 is the worst in the league, highlighting their defensive vulnerabilities. Despite showing some signs of life with three wins in their last five matches, they remain in the relegation zone and need to find consistency to climb the standings. The model indicates a win probability of 55% for Ham-Kam, with a projected score of 2-1. However, a potential caveat for Ham-Kam could be their inconsistent form, which might allow Start to capitalize on any defensive lapses. For a deeper understanding of this prediction, please refer to the "How We Reached This Prediction" section, where The Daily Punt Analysis Team employs an in-house model that evaluates 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.
Combined goal output is high (3.0 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 13.8% probability.
Start have been the stronger side, winning 33% of their matches.
Our model projects a 1-1 draw as the most likely scoreline at 13.8% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 4 bookmakers. Start 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
Start vs Ham-Kam| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 1.87 | 3.74 | 3.66 | 1.61 | 2.23 | 1.55 | 2.26 | |
| 1.90 | 3.90 | 3.60 | — | — | — | — | |
| 1.89 | 3.88 | 3.77 | 1.65 | 2.26 | — | — | |
| 1.90 | 3.29 | 3.13 | — | — | — | — | |
| 1.85 | 3.60 | 3.50 | — | — | 1.55 | 2.30 | |
| 1.91 | 3.60 | 3.50 | 1.62 | 2.25 | 1.53 | 2.38 | |
| 1.92 | 3.84 | 3.76 | 1.64 | 2.28 | 1.55 | 2.30 | |
Betano | 1.93 | 3.70 | 3.60 | 1.62 | 2.27 | 1.55 | 2.32 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 6 Meetings (evenly matched 3-3)The head-to-head record between Start and Ham-Kam stands at three wins each over their last six encounters. The scorelines indicate a competitive rivalry, with both teams securing narrow victories, evidenced by three matches being decided by a single goal. However, there have also been a couple of more decisive wins, including Ham-Kam's 4-0 victory in 2019. The absence of draws in this sample suggests a tendency for one side to edge out the other, illustrating a balanced but dynamic matchup. Both teams have experienced periods of success against the other, with no team currently dominating the recent history.
Eliteserien Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Viking | 21 | 16 | 2 | 3 | 54 | 20 | 34 | 50 | WWDWL |
| 2 |  Bodo/Glimt | 21 | 16 | 2 | 3 | 53 | 19 | 34 | 50 | LWWWW |
| 3 |  Tromso | 21 | 11 | 5 | 5 | 40 | 29 | 11 | 38 | WLLDL |
| 4 |  Molde | 21 | 11 | 3 | 7 | 44 | 32 | 12 | 36 | LWWWW |
| 5 |  Rosenborg | 21 | 10 | 3 | 8 | 39 | 30 | 9 | 33 | WWWLW |
| 6 |  Lillestrom | 21 | 10 | 2 | 9 | 28 | 29 | -1 | 32 | LWWLD |
| 13 | Ham-Kam | 21 | 6 | 5 | 10 | 29 | 44 | -15 | 23 | LLLDL |
| 14 |  Aalesund | 21 | 4 | 9 | 8 | 33 | 46 | -13 | 21 | WLWLD |
| 15 |  Kristiansund BK | 21 | 5 | 4 | 12 | 21 | 40 | -19 | 19 | LLWDL |
| 16 | Start | 21 | 4 | 4 | 13 | 22 | 44 | -22 | 16 | LWLWL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonStart have won 7 of their last 14 matches at home, drawing 3 and losing 4. Their recent home fixtures include beat Brann 2-1 and beat Brann 2-0.
Overall, the wider run reads 12W 6D 18L from the last 36 games (33% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Ham-Kam have won 5 of their last 21 matches on the road, drawing 5 and losing 11. Their recent away fixtures include lost to Ham-Kam 3-2 and beat Kjelsås 0-2.
Overall, the wider run reads 13W 7D 15L from the last 35 games (37% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
0 playersStart
No reported absences
Ham-Kam
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
Start have averaged 4.1 corners per match at home; Ham-Kam 3.9 on the road. Combined that projects roughly 5.0 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Start have generated 1.56 xG per game across their recent matches, winning 33% of them. They put 3.5 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Start 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.
