01 · 2 legs
Safe
- Double chance Lillestrøm or draw (1X)56%
- Over 1.5 goals85%
Norwegian Eliteserien2°0,6 mm11 km/h
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Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT:
Both teams sit at 37% on the model probabilities, yet the lean tips slightly towards Lillestrøm — an intriguing tension given Molde's consistent scoring streak. Molde's attacking prowess is evidenced by their 13 consecutive league matches with a goal. The expected goals further support this, with Molde at 1.81 compared to Lillestrøm's 1.52.
The most likely scorelines, 1-1 and 1-2, reflect a tight contest with a slight edge to the visitors, supported by Molde's superior xG metrics (1.9) and their defensive advantage with xGA at 1.2, compared to the hosts' 1.6. Despite Lillestrøm's physical approach, Molde's high press might exploit defensive gaps, especially as they seek to capitalize on their possession style. However, the small head-to-head sample should not be overly weighted against Lillestrøm's current form.
With a 64% chance of over 2.5 goals and both teams likely to score, a scoreline of 1-2 seems plausible. A high-stakes game with a potential for goals could see bettors eyeing the overs for a promising return.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Lillestrøm | X | 2 · Molde |
|---|---|---|---|
| Betsafe | EV+ 12% 3.05 | EV+ 2% 3.85 | 2.12 |
| LeoVegas | EV+ 6% 2.88 | 3.75 | 2.05 |
| Nordicbet | EV+ 14% 3.10 | EV+ 4% 3.90 | 2.15 |
| Pinnacle | EV+ 11% 3.03 | EV+ 7% 4.01 | 2.12 |
Odds updated 2 Oct, 19:36
Head-to-head based on Eliteserien data since 2021.
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 | Lillestrøm | Molde |
|---|---|---|
| Points | 32 | 36 |
| xPoints | 28.2 | 31.9 |
| xG per match | 1.6 | 1.9 |
| xGA per match | 1.6 | 1.2 |
| xG within 8s of winning the ball | 0.23 | 0.32 |
| xGA within 8s of losing the ball | 0.36 | 0.32 |
| Playing style | Lillestrøm | Molde |
|---|---|---|
| Build-up efficiency | 0.34 | 0.34 |
| Field tilt | 0.47 | 0.62 |
| xT per match | 0.96 | 1.3 |
| xTA per match | 1.1 | 1.1 |
| Won balls, offensive half | 25 | 26 |
| Pressing intensity | 0.24 | 0.23 |
| Pressing efficiency | 0.27 | 0.31 |
| Pressing efficiency, offensive half | 0.27 | 0.27 |
| Entries into the box per match | 14 | 17 |
| Entries into the box against | 15 | 14 |
| Pass completion % | 0.77 | 0.81 |
| Pass completion % under pressure | 0.72 | 0.76 |
| Passes per match | 402 | 481 |
| Passes against per match | 377 | 308 |
| Switches of play per match | 26.4 | 26.2 |
| Long balls per match | 33 | 32 |
| Set pieces | Lillestrøm | Molde |
|---|---|---|
| xG from free kicks | 0.1 | 0.1 |
| Corners per match | 5.2 | 5.5 |
| Corners against per match | 5.6 | 4.4 |
| xG per corner | 0.03 | 0.04 |
| xGA per corner against | 0.02 | 0.03 |
| First touch, offensive corners % | 0.42 | 0.36 |
| First touch, defensive corners % | 0.68 | 0.56 |
| Other | Lillestrøm | Molde |
|---|---|---|
| Throw-in control | 0.75 | 0.72 |
| The goalkeepers | Pontus Jacob Ragne Dahlberg (Lillestrøm) | Albert Posiadała (Molde) |
|---|---|---|
| Saves | 79 | 43 |
| Save % | 74% | 64% |
| xG prevented | 56% | 44% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Lillestrøm a 37% win probability. Full 1X2 picture: Lillestrøm 37%, draw 27%, Molde 37%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 64% and under at 36%.
The probability of both teams scoring is 65% 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.