01 · 2 legs
Safe
- Trelleborgs FF to win71%
- Over 1.5 goals84%
Swedish Ettan12°4,5 mm32 km/h
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Sofia Andersson · · The model's read on the match · How the predictions work
Trelleborgs FF are riding high on a wave of four consecutive wins, showcasing not just form but dominance. They have found the back of the net in ten straight league games, an indicator of their attacking prowess. Kristianstad FC, on the other hand, travel as clear underdogs with only an 11% chance of victory according to the model, which heavily favors the hosts (71%).
The expected goals tell a revealing story: Trelleborgs' xG of 2.49 suggests they are likely to break through Kristianstad’s defense multiple times, while the visitors are predicted to muster just 0.80 xG. This aligns with the most probable scorelines, such as 2-0 and 3-0, favoring the home side. The model forecasts a 64% chance of over 2.5 goals, bolstered by Trelleborgs' aggressive possession-based style that could overwhelm Kristianstad’s reliance on counter-attacks and crosses.
Despite a small head-to-head sample of just one prior match — a draw — Trelleborgs' league performance and expected points (xPoints) vastly outstrip their opponents, showing both current form and underlying metrics in their favor. The statistical edge is backed up by a points tally of 51 compared to Kristianstad’s 27, emphasizing the gulf in class and consistency.
Weather conditions, with 12.0 mm of rain, could slightly dampen the goal-scoring potential, trimming the edge off an otherwise high goal expectancy. Yet, even with this factored in, the odds lean towards a game with multiple goals due to Trelleborgs' strong attack.
For bettors, the standout value lies with William Hill offering 7/1 on a 2-0 scoreline, which resonates with the model's 12% probability. This looks like a calculated risk worth considering, given Trelleborgs' current form and Kristianstad’s vulnerabilities.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Trelleborgs FF | Kristianstad FC |
|---|---|---|
| Points | 51 | 27 |
| xPoints | 37.5 | 29.9 |
| xG per match | 1.6 | 0.92 |
| xGA per match | 1.1 | 1.3 |
| xG within 8s of winning the ball | 0.37 | 0.18 |
| xGA within 8s of losing the ball | 0.11 | 0.24 |
| Playing style | Trelleborgs FF | Kristianstad FC |
|---|---|---|
| Build-up efficiency | 0.32 | 0.31 |
| Field tilt | 0.6 | 0.36 |
| xT per match | 1.5 | 1.2 |
| xTA per match | 1.2 | 1.7 |
| Won balls, offensive half | 37 | 29 |
| Pressing intensity | 0.56 | 0.54 |
| Pressing efficiency | 0.32 | 0.24 |
| Pressing efficiency, offensive half | 0.33 | 0.27 |
| Entries into the box per match | 14 | 10 |
| Entries into the box against | 11 | 16 |
| Pass completion % | 0.76 | 0.77 |
| Pass completion % under pressure | 0.71 | 0.72 |
| Passes per match | 352 | 329 |
| Passes against per match | 294 | 425 |
| Switches of play per match | 16.6 | 20.5 |
| Long balls per match | 31 | 39 |
| Set pieces | Trelleborgs FF | Kristianstad FC |
|---|---|---|
| xG from free kicks | 0.16 | 0.15 |
| Corners per match | 5.3 | 4.3 |
| Corners against per match | 3.9 | 5.3 |
| xG per corner | 0.04 | 0.02 |
| xGA per corner against | 0.04 | 0.02 |
| First touch, offensive corners % | 0.36 | 0.41 |
| First touch, defensive corners % | 0.68 | 0.63 |
| Other | Trelleborgs FF | Kristianstad FC |
|---|---|---|
| Throw-in control | 0.49 | 0.55 |
| The goalkeepers | Malte Påhlsson (Trelleborgs FF) | Otto Larsson Wågert (Kristianstad FC) |
|---|---|---|
| Saves | 66 | 88 |
| Save % | 72% | 71% |
| xG prevented | 38% | 50% |
| Claims | 144 (93%) | 167 (95%) |
The model gives Trelleborgs FF a 71% win probability. Full 1X2 picture: Trelleborgs FF 71%, draw 18%, Kristianstad FC 11%.
The model's most likely final score is 2-0 at 12% probability.
The model rates over 2.5 goals at 64% and under at 36%.
The probability of both teams scoring is 51% 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.

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Hämta bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.