01 · 2 legs
Safe
- Molde to win71%
- Over 1.5 goals88%
Norwegian Eliteserien9°8,1 mm8 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
Aalesund have found the net in twelve straight league matches, a testament to their ability to break through defenses, even as they struggle overall. Molde, with a stronger record and higher expected goals, are rightly favored, but the visitors' scoring streak adds an intriguing layer. The model leans heavily toward a home win, giving the hosts a commanding 71% probability for victory. Yet, Aalesund's knack for scoring suggests they might complicate matters for Molde's high-pressing unit.
The all-important expected goals paints a picture of Molde's dominance, with an xG of 2.44 against Aalesund's 1.17. This reflects a substantial gap in attacking potential, further supported by Molde's more efficient conversion of chances based on xPoints. However, Aalesund's recent scoring consistency shouldn't be ignored when considering both teams to score — a scenario the model supports 63% of the time.
Rain could play a role in shaping the match's dynamics, potentially dampening the goal count, but the 70% probability for over 2.5 goals suggests the weather may not be a decisive factor. With the model tilting towards a 2-1 or 2-0 finish, goals are expected but perhaps not in an overwhelming fashion. Molde's superior all-time home win percentage of 57% underpins their favorability, yet the solitary head-to-head draw tempers expectations slightly — though it's too small a sample to carry significant weight.
As for betting value, the numbers indicate a potential angle in backing "over 2.5 goals" at appealing odds if you find a bookmaker offering over even money, considering the hefty probability assigned by the model. Molde's probable win, paired with Aalesund's tenacity in front of goal, suggests a likely 2-1 scoreline, making this over/under bet an intriguing proposition for those looking to capitalize on what the market may have overlooked.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Molde | Aalesund |
|---|---|---|
| Points | 31 | 18 |
| xPoints | 28.6 | 26.9 |
| xG per match | 1.8 | 1.6 |
| xGA per match | 1.3 | 2.1 |
| xG within 8s of winning the ball | 0.33 | 0.22 |
| xGA within 8s of losing the ball | 0.24 | 0.43 |
| Playing style | Molde | Aalesund |
|---|---|---|
| Build-up efficiency | 0.33 | 0.34 |
| Field tilt | 0.6 | 0.43 |
| xT per match | 1.3 | 0.95 |
| xTA per match | 0.99 | 1.5 |
| Won balls, offensive half | 28 | 24 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.29 | 0.28 |
| Pressing efficiency, offensive half | 0.26 | 0.25 |
| Entries into the box per match | 17 | 13 |
| Entries into the box against | 14 | 18 |
| Pass completion % | 0.81 | 0.72 |
| Pass completion % under pressure | 0.76 | 0.7 |
| Passes per match | 490 | 302 |
| Passes against per match | 319 | 420 |
| Switches of play per match | 25.3 | 15.4 |
| Long balls per match | 32 | 25 |
| Set pieces | Molde | Aalesund |
|---|---|---|
| xG from free kicks | 0.09 | 0.08 |
| Corners per match | 5.5 | 5.1 |
| Corners against per match | 4.2 | 7.6 |
| xG per corner | 0.05 | 0.04 |
| xGA per corner against | 0.06 | 0.04 |
| First touch, offensive corners % | 0.32 | 0.35 |
| First touch, defensive corners % | 0.54 | 0.51 |
| Other | Molde | Aalesund |
|---|---|---|
| Throw-in control | 0.71 | 0.7 |
| The goalkeepers | Albert Posiadała (Molde) | Kristoffer Klaesson (Aalesund) |
|---|---|---|
| Saves | 38 | 41 |
| Save % | 66% | 68% |
| xG prevented | 45% | 49% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Molde a 71% win probability. Full 1X2 picture: Molde 71%, draw 16%, Aalesund 13%.
The model's most likely final score is 2-1 at 9% probability.
The model rates over 2.5 goals at 70% and under at 30%.
The probability of both teams scoring is 63% 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.