01 · 2 legs
Safe
- Double chance FC Trollhättan or draw (X2)65%
- Over 1.5 goals81%
Swedish Ettan12°4,2 mm21 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
The key tension in the Skövde AIK vs. FC Trollhättan matchup is the contrast between styles. Skövde thrives on counter-attacks and crossing, a method that has seen them score in eight consecutive league games. Meanwhile, Trollhättan's possession-based control is statistically more effective, as reflected in the slight xG advantage (1.3 to 1.1) and their favorable head-to-head record, albeit from a small three-game sample.
The model leans toward an away victory with Trollhättan given a 45% chance compared to Skövde's 33%. The slender point difference in the league table (25 to 24 in Trollhättan's favor) is offset by Skövde’s superior xPoints (25.5 vs 24.2), suggesting they might have underperformed so far. Still, the visitors’ more robust defense, conceding less xGA per match (1.3 vs 1.6), indicates they might withstand Skövde’s attacking bursts better than the hosts can handle their ball retention.
Delving into potential outcomes, the most likely scorelines are tightly contested. A 1-1 draw sits at 11%, followed closely by a 1-2 win for Trollhättan at 9%, and a 2-1 home victory at 8%. However, with a 59% chance for the match to go over 2.5 goals and a 62% likelihood of both teams scoring, goals are anticipated. The numbers suggest an open game, where defensive lapses could be costly.
The sharpest angle for bettors lies with FC Trollhättan. The model not only favors them but also reflects value with their odds better than implied probability at select bookmakers. If they can leverage their possession control against Skövde’s vulnerable backline, the odds are in their favor to clinch a close victory.
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 | Skövde AIK | FC Trollhättan |
|---|---|---|
| Points | 24 | 25 |
| xPoints | 25.5 | 24.2 |
| xG per match | 1.1 | 1.3 |
| xGA per match | 1.6 | 1.3 |
| xG within 8s of winning the ball | 0.21 | 0.26 |
| xGA within 8s of losing the ball | 0.38 | 0.21 |
| Playing style | Skövde AIK | FC Trollhättan |
|---|---|---|
| Build-up efficiency | 0.33 | 0.36 |
| Field tilt | 0.38 | 0.59 |
| xT per match | 1.4 | 1.6 |
| xTA per match | 1.5 | 1.4 |
| Won balls, offensive half | 28 | 32 |
| Pressing intensity | 0.5 | 0.58 |
| Pressing efficiency | 0.24 | 0.3 |
| Pressing efficiency, offensive half | 0.25 | 0.32 |
| Entries into the box per match | 13 | 16 |
| Entries into the box against | 15 | 13 |
| Pass completion % | 0.76 | 0.82 |
| Pass completion % under pressure | 0.71 | 0.77 |
| Passes per match | 321 | 508 |
| Passes against per match | 440 | 306 |
| Switches of play per match | 18.6 | 13.6 |
| Long balls per match | 35 | 25 |
| Set pieces | Skövde AIK | FC Trollhättan |
|---|---|---|
| xG from free kicks | 0.1 | 0.15 |
| Corners per match | 4.5 | 5.3 |
| Corners against per match | 5.5 | 4 |
| xG per corner | 0.03 | 0.02 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.33 | 0.37 |
| First touch, defensive corners % | 0.66 | 0.6 |
| Other | Skövde AIK | FC Trollhättan |
|---|---|---|
| Throw-in control | 0.56 | 0.59 |
| The goalkeepers | Amar Ibrahimovic (Skövde AIK) | Jimmy Henriksson (FC Trollhättan) |
|---|---|---|
| Saves | 63 | 41 |
| Save % | 72% | 73% |
| xG prevented | 51% | 52% |
| Claims | 130 (91%) | 83 (92%) |
The model gives FC Trollhättan a 45% win probability. Full 1X2 picture: Skövde AIK 33%, draw 22%, FC Trollhättan 45%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 59% and under at 41%.
The probability of both teams scoring is 62% 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.