01 · 2 legs
Safe
- Karlstad Fotboll to win61%
- Over 1.5 goals78%
Swedish Ettan9°15 km/h
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Marcus Johansson · · Analysis from the match model · How the predictions work
TEXT: Karlstad Fotboll have had the upper hand in this fixture, taking four wins out of the last five encounters against Piteå, making their dominance evident. However, with just five matches in the head-to-head sample, it’s important to weigh these results against current form and expected goals. The historical average of 4.2 goals per game indicates potential for fireworks, but it feels more like an exception to the underlying numbers than a rule to follow.
Piteå sits on 18 points, a stark contrast to Karlstad's 39, highlighting the visitors' superior season so far. The expected points (xPoints) and goals metrics (xG and xGA) further underline Karlstad's edge. With an xGA of just 0.74 compared to Piteå's 1.8, the visitors boast a robust defense that could stifle Piteå's direct approach. Meanwhile, Karlstad's control-oriented style might dictate the tempo, keeping Piteå chasing the game rather than dictating it.
The model probabilities give Karlstad a solid 61% chance of victory, reflecting their form and tactical advantages. The most likely scorelines point towards a tight contest, with 1-1 and 0-1 both having an 11% likelihood, while a 0-2 finish stands at 10%. The expected goals tally — Piteå's 0.94 against Karlstad's 1.90 — suggests a low-scoring tilt, despite the high-scoring historical average between these sides.
When it comes to betting, the model's strong lean towards Karlstad's success suggests value on the outright win. The over 2.5 goals market edges into possibility at 54%, but considering Karlstad's formidable defense and Piteå's struggle to find the net consistently, the under could be a more conservative play.
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 | Piteå | Karlstad Fotboll |
|---|---|---|
| Points | 18 | 39 |
| xPoints | 22.3 | 35.1 |
| xG per match | 0.99 | 1.3 |
| xGA per match | 1.8 | 0.74 |
| xG within 8s of winning the ball | 0.22 | 0.22 |
| xGA within 8s of losing the ball | 0.35 | 0.19 |
| Playing style | Piteå | Karlstad Fotboll |
|---|---|---|
| Build-up efficiency | 0.34 | 0.35 |
| Field tilt | 0.37 | 0.63 |
| xT per match | 1.2 | 1.3 |
| xTA per match | 1.4 | 0.92 |
| Won balls, offensive half | 23 | 33 |
| Pressing intensity | 0.48 | 0.51 |
| Pressing efficiency | 0.23 | 0.3 |
| Pressing efficiency, offensive half | 0.24 | 0.27 |
| Entries into the box per match | 10 | 11 |
| Entries into the box against | 16 | 8 |
| Pass completion % | 0.79 | 0.8 |
| Pass completion % under pressure | 0.74 | 0.74 |
| Passes per match | 338 | 392 |
| Passes against per match | 405 | 306 |
| Switches of play per match | 17.1 | 16.3 |
| Long balls per match | 30 | 32 |
| Set pieces | Piteå | Karlstad Fotboll |
|---|---|---|
| xG from free kicks | 0.12 | 0.1 |
| Corners per match | 3.6 | 5.2 |
| Corners against per match | 5.6 | 3.5 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.04 | 0.03 |
| First touch, offensive corners % | 0.28 | 0.38 |
| First touch, defensive corners % | 0.56 | 0.67 |
| Other | Piteå | Karlstad Fotboll |
|---|---|---|
| Throw-in control | 0.6 | 0.56 |
| The goalkeepers | Filip Eriksson (Piteå) | Mathias Karlsson (Karlstad Fotboll) |
|---|---|---|
| Saves | 100 | 43 |
| Save % | 69% | 69% |
| xG prevented | 48% | 39% |
| Claims | 118 (92%) | 98 (88%) |
The model gives Karlstad Fotboll a 61% win probability. Full 1X2 picture: Piteå 18%, draw 20%, Karlstad Fotboll 61%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 54% and under at 46%.
The probability of both teams scoring is 52% 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.