01 · 2 legs
Safe
- Double chance Elfsborg or draw (1X)66%
- Over 1.5 goals81%
Swedish AllsvenskanBorås arena, Borås
Läs på svenskaOscar Nilsson · · How the predictions work
Three matches into their head-to-head since 2023, IF Elfsborg holds an upper hand over Västerås SK FK with two wins and a draw. Yet, this sample is small, and it only hints at trends without overpowering the nitty-gritty of current season form and expected goals analysis. There's a compelling narrative brewing when you scratch beneath the surface, revealing a tantalizingly close encounter on the cards.
With model probabilities giving IF Elfsborg the edge at 43%, it’s tempting to back the home side despite Västerås SK FK's slight points advantage in the league standings. However, the expected goals tell another story: 1.60 for Elfsborg against Västerås's 1.44. These figures suggest that while IF Elfsborg may be the slight favorites, the visitors are more than capable of finding the net themselves. Moreover, both teams boast a balanced and physical playing style, hinting at a battle of inches rather than one of flair, where small margins could tip the balance.
Over 2.5 goals is given a 59% chance, with both teams to score at 61%, suggesting a lively affair. However, the expected goals and playing styles hint at a tightly contested match. The historical tendency of IF Elfsborg to win 55% of their home matches across 53 games gives them an edge, but not an overwhelming one given Västerås's competitive xPoints edge.
The betting value lies in the possibility of a 2-1 victory for IF Elfsborg, with its 9% most likely scoreline rating bolstered by their xG and xGA advantages. The model aligns with a slight lean towards the home team, and with odds offering EV+ value on IF Elfsborg to win at 2.30 with Bet365 — it's the sharpest angle to play, assuming their physicality can edge out Västerås SK FK in a closely contested battle.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Allsvenskan 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 | Elfsborg | Västerås SK |
|---|---|---|
| Points | 21 | 22 |
| xPoints | 19.8 | 18.7 |
| xG per match | 1.2 | 1.1 |
| xGA per match | 1.4 | 1.6 |
| xG within 8s of winning the ball | 0.2 | 0.25 |
| xGA within 8s of losing the ball | 0.31 | 0.34 |
| Playing style | Elfsborg | Västerås SK |
|---|---|---|
| Build-up efficiency | 0.34 | 0.32 |
| Field tilt | 0.43 | 0.44 |
| xT per match | 1.3 | 1.1 |
| xTA per match | 1.3 | 1.6 |
| Won balls, offensive half | 28 | 30 |
| Pressing intensity | 0.46 | 0.53 |
| Pressing efficiency | 0.22 | 0.26 |
| Pressing efficiency, offensive half | 0.2 | 0.25 |
| Entries into the box per match | 13 | 11 |
| Entries into the box against | 14 | 16 |
| Pass completion % | 0.81 | 0.79 |
| Pass completion % under pressure | 0.75 | 0.74 |
| Passes per match | 372 | 366 |
| Passes against per match | 451 | 378 |
| Switches of play per match | 13.7 | 16.1 |
| Long balls per match | 27 | 30 |
| Set pieces | Elfsborg | Västerås SK |
|---|---|---|
| xG from free kicks | 0.11 | 0.08 |
| Corners per match | 3.7 | 4.4 |
| Corners against per match | 5.3 | 5.6 |
| xG per corner | 0.03 | 0.03 |
| xGA per corner against | 0.03 | 0.02 |
| First touch, offensive corners % | 0.45 | 0.32 |
| First touch, defensive corners % | 0.68 | 0.62 |
| Other | Elfsborg | Västerås SK |
|---|---|---|
| Throw-in control | 0.65 | 0.57 |
| The goalkeepers | Isak Pettersson (Elfsborg) | Elis Jäger (Västerås SK) |
|---|---|---|
| Saves | 47 | 47 |
| Save % | 72% | 63% |
| xG prevented | 52% | 35% |
| Claims | 70 (85%) | 47 (81%) |
The model gives Elfsborg a 43% win probability. Full 1X2 picture: Elfsborg 43%, draw 26%, Västerås SK 32%.
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 61% 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.