Ham-Kam vs Kristiansund BK Prediction, Tips & Odds
Ham-Kam vs Kristiansund BK
Match Preview
The model favours Ham-Kam to win against Kristiansund BK, with a projected scoreline of 2-1. Ham-Kam currently sits in 10th place in the Eliteserien, having amassed 22 points from 17 matches. Their season has been a mix of results, with six wins, four draws, and seven losses. The team has scored 24 goals but conceded 30, leading to a goal difference of -6. Despite a recent dip in form, winning only one of their last five matches, they remain the stronger side in the standings. On the other hand, Kristiansund BK is struggling in 14th position, with only 15 points from their 17 games. Their record shows four wins, three draws, and ten losses, with a goal tally of 15 and 27 conceded, resulting in a goal difference of -12. Their recent form is concerning, having secured just one win in their last five matches, and they are currently facing challenges both in attack and defense. The model suggests Ham-Kam has a win probability of around 60%, while Kristiansund BK's chances sit at about 25%. One key market statistic to consider is the likelihood of over 2.5 goals being scored in the match. However, a potential caveat for Ham-Kam is their recent inconsistency, which could lead to an upset if they do not find their rhythm. For a detailed breakdown of the prediction, please refer to the "How We Reached This Prediction" section. This analysis has been prepared by The Daily Punt Analysis Team, using an in-house model that evaluates expected goals and actual results throughout the season.
Head to Head
Last 8 Meetings (Ham-Kam leads 3-2)The head-to-head record between Ham-Kam and Kristiansund BK stands at 3 wins for Ham-Kam, 3 draws, and 2 wins for Kristiansund BK over the last 8 matches. The scorelines indicate a competitive rivalry, with several tight matches, including three draws and a mix of narrow victories on both sides. Notably, the last six encounters have been decided by a margin of one goal or ended in a draw, suggesting that neither team has a distinct advantage in recent matchups. The last win for Kristiansund BK came in July 2022, highlighting a period of struggle against Ham-Kam since then.
Eliteserien Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Bodo/Glimt | 17 | 13 | 2 | 2 | 43 | 12 | 31 | 41 | WWWWW |
| 2 |  Viking | 17 | 13 | 1 | 3 | 40 | 17 | 23 | 40 | LWWDW |
| 3 |  Tromso | 17 | 10 | 4 | 3 | 34 | 20 | 14 | 34 | LWWWD |
| 4 |  Molde | 17 | 8 | 3 | 6 | 32 | 26 | 6 | 27 | WLDWL |
| 5 |  Lillestrom | 17 | 8 | 2 | 7 | 23 | 21 | 2 | 26 | DLLLW |
| 6 |  Brann | 17 | 8 | 1 | 8 | 36 | 27 | 9 | 25 | WWLWW |
| 10 | Ham-Kam | 17 | 6 | 4 | 7 | 24 | 30 | -6 | 22 | LDWLL |
| 14 | Kristiansund BK | 17 | 4 | 3 | 10 | 15 | 27 | -12 | 15 | LWLLD |
| 15 |  Aalesund | 17 | 2 | 9 | 6 | 27 | 41 | -14 | 15 | DDLDL |
| 16 |  Start | 17 | 2 | 4 | 11 | 16 | 38 | -22 | 10 | LLWLL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonHam-Kam have won 8 of their last 11 matches at home, drawing 1 and losing 2. Their recent home fixtures include drew with Ham-Kam 1-1 and beat Ham-Kam 2-0.
Overall, the wider run reads 11W 6D 11L from the last 28 games (39% win rate). The form line is positive, with more wins than defeats across the sample.
Kristiansund BK have won 2 of their last 13 matches on the road, drawing 2 and losing 9. Their recent away fixtures include lost to Kristiansund BK 1-0 and lost to KFUM Oslo 2-1.
Overall, the wider run reads 8W 6D 15L from the last 29 games (28% 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 playersHam-Kam
No reported absences
Kristiansund BK
No reported absences
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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.