01 · 2 legs
Safe
- Viking to win61%
- Over 1.5 goals83%
Norwegian Eliteserien13°14,2 mm41 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
A striking 61% win probability for Viking speaks volumes about the anticipated outcome of their clash with Lillestrøm. The hosts, known for their commanding home presence, boast a 65% win rate on home soil across 84 matches. This, paired with an impressive nine-match scoring streak in the league, suggests a clear advantage for the home side. Their expected goals (xG) of 1.99 further underscores this dominion, contrasting sharply with Lillestrøm's 1.19.
While the small head-to-head sample of just three games since 2021 shows Viking's edge with two wins to Lillestrøm's one, it's the broader form and attacking prowess that paint a more vivid picture. Viking's xG per match at 2.3 dwarfs the visitors' 1.6, and their defensive metrics show resilience with xGA of 1.3 compared to Lillestrøm's 1.5. The match could very well lean towards a 2-1 Viking victory, aligning with the model's most likely scorelines.
Yet, the value play lies in an unexpected angle. Despite a high 62% model estimate for over 2.5 goals, betting markets offer lucrative odds on the contrary. With a notable 38% model-rated chance, taking under 2.5 goals at odds of 3.4 with Nordicbet presents a compelling edge.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Viking | X | 2 · Lillestrøm |
|---|---|---|---|
| Betsafe | 1.42 | 4.80 | EV+ 25% 6.80 |
| Betsson | 1.43 | 4.85 | EV+ 27% 6.90 |
| Nordicbet | 1.43 | 4.85 | EV+ 27% 6.90 |
| Pinnacle | 1.41 | EV+ 8% 5.30 | EV+ 16% 6.30 |
Odds updated 18 Sept, 09:38
Market signal
The market has moved clearly towards a Viking win since 14 September — the odds have shortened from 1.50 to 1.41 (−6%).
1.50 → 1.41
4.81 → 5.30
5.56 → 6.30
Pinnacle · 8 recorded price levels · 14/09/2026 → 18/09/2026 · fixed scale 5 percentage points
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 | Viking | Lillestrøm |
|---|---|---|
| Points | 47 | 32 |
| xPoints | 33.8 | 27.8 |
| xG per match | 2.3 | 1.6 |
| xGA per match | 1.3 | 1.5 |
| xG within 8s of winning the ball | 0.56 | 0.22 |
| xGA within 8s of losing the ball | 0.17 | 0.35 |
| Playing style | Viking | Lillestrøm |
|---|---|---|
| Build-up efficiency | 0.34 | 0.33 |
| Field tilt | 0.61 | 0.48 |
| xT per match | 1.7 | 0.96 |
| xTA per match | 0.96 | 1 |
| Won balls, offensive half | 30 | 25 |
| Pressing intensity | 0.23 | 0.24 |
| Pressing efficiency | 0.29 | 0.27 |
| Pressing efficiency, offensive half | 0.26 | 0.27 |
| Entries into the box per match | 17 | 14 |
| Entries into the box against | 12 | 15 |
| Pass completion % | 0.75 | 0.77 |
| Pass completion % under pressure | 0.7 | 0.72 |
| Passes per match | 377 | 399 |
| Passes against per match | 350 | 377 |
| Switches of play per match | 28.4 | 26.3 |
| Long balls per match | 37 | 33 |
| Set pieces | Viking | Lillestrøm |
|---|---|---|
| xG from free kicks | 0.08 | 0.1 |
| Corners per match | 7 | 5.1 |
| Corners against per match | 5.4 | 5.5 |
| xG per corner | 0.03 | 0.03 |
| xGA per corner against | 0.03 | 0.02 |
| First touch, offensive corners % | 0.36 | 0.43 |
| First touch, defensive corners % | 0.6 | 0.69 |
| Other | Viking | Lillestrøm |
|---|---|---|
| Throw-in control | 0.74 | 0.75 |
| The goalkeepers | Arild Ostbo (Viking) | Pontus Jacob Ragne Dahlberg (Lillestrøm) |
|---|---|---|
| Saves | 24 | 73 |
| Save % | 75% | 75% |
| xG prevented | 76% | 59% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Viking a 61% win probability. Full 1X2 picture: Viking 61%, draw 20%, Lillestrøm 18%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 62% and under at 38%.
The probability of both teams scoring is 60% 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.