01 · 2 legs
Safe
- Lunds BK to win62%
- Over 1.5 goals86%
Swedish Ettan15°2,4 mm15 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
The head-to-head record offers a narrow window into the dynamic between these two sides: Lunds BK have a slight edge, winning three of the last seven encounters against Ängelholm. Yet with only seven matches in the dataset, this history carries less weight than current form and expected goals. What stands out is the stark contrast in trajectories. The visitors are coming off five consecutive losses, suggesting a team struggling to find its footing.
Lunds BK, meanwhile, show strength both in their points tally and in underlying metrics. They boast a solid home win rate of 60% across 53 matches, a statistic that underscores their advantage, particularly against a team in a downward spiral. Their playing style, focused on possession control, should dominate against Ängelholm's low defensive and direct approach. This strategic clash appears to favor the hosts, who are adept at breaking down stubborn defenses.
The expected goals further paint a clear picture: Lunds BK are projected at 2.25 goals compared to Ängelholm's 1.21. This aligns with the model's scoreline predictions, which lean towards a 2-1 victory for the hosts, with a 10% likelihood. The model assigns a 62% chance of a home win, compared to just 17% for the visitors. Though the weather may slightly dampen scoring, with 4.5 mm of rain expected, these factors are already considered in the probabilities.
The betting angle leans heavily toward Lunds BK. With their dominant form and strategic edge, a 2-1 scoreline seems probable. The over 2.5 goals market at 67% and both teams to score at 63% highlight the likelihood of a high-scoring affair. For those seeking value, the home win, at odds of 1.61 with Bet365, captures the essence of this matchup.
01 · 2 legs
02 · 3 legs
03 · 4 legs
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Head-to-head based on Ettan data since 2023.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Lunds BK | Ängelholm |
|---|---|---|
| Points | 35 | 17 |
| xPoints | 31.2 | 26.8 |
| xG per match | 1.9 | 1.1 |
| xGA per match | 1.3 | 1.4 |
| xG within 8s of winning the ball | 0.46 | 0.17 |
| xGA within 8s of losing the ball | 0.29 | 0.23 |
| Playing style | Lunds BK | Ängelholm |
|---|---|---|
| Build-up efficiency | 0.34 | 0.35 |
| Field tilt | 0.58 | 0.47 |
| xT per match | 1.4 | 1.3 |
| xTA per match | 1.4 | 1.5 |
| Won balls, offensive half | 40 | 28 |
| Pressing intensity | 0.5 | 0.46 |
| Pressing efficiency | 0.31 | 0.27 |
| Pressing efficiency, offensive half | 0.32 | 0.26 |
| Entries into the box per match | 16 | 10 |
| Entries into the box against | 12 | 15 |
| Pass completion % | 0.75 | 0.76 |
| Pass completion % under pressure | 0.67 | 0.71 |
| Passes per match | 353 | 321 |
| Passes against per match | 302 | 397 |
| Switches of play per match | 20.2 | 17.5 |
| Long balls per match | 36 | 29 |
| Set pieces | Lunds BK | Ängelholm |
|---|---|---|
| xG from free kicks | 0.16 | 0.14 |
| Corners per match | 5.6 | 4 |
| Corners against per match | 4.2 | 4.4 |
| xG per corner | 0.03 | 0.03 |
| xGA per corner against | 0.03 | 0.01 |
| First touch, offensive corners % | 0.47 | 0.23 |
| First touch, defensive corners % | 0.62 | 0.57 |
| Other | Lunds BK | Ängelholm |
|---|---|---|
| Throw-in control | 0.44 | 0.52 |
| The goalkeepers | Andreas Alexandersson (Lunds BK) | Robin Streifert (Ängelholm) |
|---|---|---|
| Saves | 57 | 56 |
| Save % | 69% | 64% |
| xG prevented | 40% | 36% |
| Claims | 119 (92%) | 139 (97%) |
The model gives Lunds BK a 62% win probability. Full 1X2 picture: Lunds BK 62%, draw 21%, Ängelholm 17%.
The model's most likely final score is 2-1 at 10% probability.
The model rates over 2.5 goals at 67% and under at 33%.
The probability of both teams scoring is 63% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.