01 · 2 legs
Safe
- Double chance Ljungskile or draw (1X)73%
- Over 1.5 goals80%
Swedish SuperettanSkarsjövallen, Uddevalla15°1,1 mm17 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
Ljungskile enters this clash with a slight edge according to model probabilities, but the match is far from a straightforward affair. The hosts lean on possession control, hoping to dictate the game through careful build-up play, while Norrby thrives on counter attacks and crosses, a style that can exploit any slip in concentration from their opponents. With only one head-to-head encounter since 2024, which Norrby won, the sample size is too small to draw significant conclusions from their previous meeting.
The expected goals tell an intriguing story of balance and tension. Ljungskile is expected to score 1.75 goals to Norrby's 1.25, underscoring the home side's slight upper hand. However, Ljungskile's possession approach may leave gaps for Norrby's counters, potentially allowing the visitors to punch above their weight. The likelihood of a 1-1 draw or a narrow 2-1 or 1-0 victory for Ljungskile reflects this delicate balance between possession and counter-attacking dynamism.
The model's lean towards an over 2.5 goals scenario at 58% suggests an open game, despite Ljungskile's controlled style. While both teams are likely to find the net (59% chance), the key lies in how effectively Norrby can counter Ljungskile's possession without being overly exposed at the back. The match might feel like a chess game, but with opportunities created from rapid transitions and width exploitation.
While Ljungskile holds a slight edge in terms of points and xG metrics, Norrby's counter-attacking prowess could be the equalizer. Interestingly, the away win offers substantial value at odds of 3.7 across multiple bookmakers, including Betsafe, Betsson, and Nordicbet. Despite Ljungskile's home advantage, that 18% edge in value makes the visitors an enticing prospect for bettors looking to capitalize on a potential upset. Ending with a sharp angle, Norrby's ability to counter and the inherent value in their odds could define this encounter.
The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Ljungskile | X | 2 · Norrby |
|---|---|---|---|
| Betsafe | 2.05 | 3.60 | EV+ 8% 3.37 |
| Betsson | 2.05 | 3.60 | EV+ 8% 3.37 |
| Nordicbet | 2.05 | 3.60 | EV+ 8% 3.37 |
| Paddy Power | 1.91 | 3.70 | EV+ 9% 3.40 |
| Pinnacle | 2.01 | 3.89 | EV+ 8% 3.37 |
Odds updated 9 Sept, 16:31
2.11 → 2.01
3.71 → 3.89
3.11 → 3.37
Pinnacle · 15 recorded price levels · 05/09/2026 → 09/09/2026 · fixed scale 10 percentage points
Head-to-head based on Superettan data since 2024.
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 | Ljungskile | Norrby |
|---|---|---|
| Points | 25 | 23 |
| xPoints | 30.3 | 34.5 |
| xG per match | 1.5 | 1.4 |
| xGA per match | 1.4 | 1.5 |
| xG within 8s of winning the ball | 0.27 | 0.28 |
| xGA within 8s of losing the ball | 0.3 | 0.26 |
| Playing style | Ljungskile | Norrby |
|---|---|---|
| Build-up efficiency | 0.36 | 0.35 |
| Field tilt | 0.47 | 0.36 |
| xT per match | 1.6 | 1.3 |
| xTA per match | 1.5 | 1.7 |
| Won balls, offensive half | 32 | 30 |
| Pressing intensity | 0.55 | 0.55 |
| Pressing efficiency | 0.28 | 0.25 |
| Pressing efficiency, offensive half | 0.28 | 0.25 |
| Entries into the box per match | 17 | 12 |
| Entries into the box against | 15 | 18 |
| Pass completion % | 0.76 | 0.73 |
| Pass completion % under pressure | 0.7 | 0.67 |
| Passes per match | 337 | 293 |
| Passes against per match | 349 | 465 |
| Switches of play per match | 18.9 | 19.4 |
| Long balls per match | 36 | 31 |
| Set pieces | Ljungskile | Norrby |
|---|---|---|
| xG from free kicks | 0.17 | 0.14 |
| Corners per match | 5.7 | 4.9 |
| Corners against per match | 5.4 | 5.7 |
| xG per corner | 0.03 | 0.03 |
| xGA per corner against | 0.03 | 0.02 |
| First touch, offensive corners % | 0.4 | 0.35 |
| First touch, defensive corners % | 0.63 | 0.46 |
| Other | Ljungskile | Norrby |
|---|---|---|
| Throw-in control | 0.54 | 0.44 |
| The goalkeepers | Lukas Eriksson (Ljungskile) | Sebastian Banozic (Norrby) |
|---|---|---|
| Saves | 79 | 67 |
| Save % | 73% | 68% |
| xG prevented | 58% | 50% |
| Claims | 131 (95%) | 137 (93%) |
The model gives Ljungskile a 43% win probability. Full 1X2 picture: Ljungskile 43%, draw 25%, Norrby 32%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 58% and under at 42%.
The probability of both teams scoring is 59% 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.