01 · 2 legs
Safe
- Roma to win48%
- Over 1.5 goals81%
Champions League17°4 km/h
Läs på svenskaBetBuilders AI model prediction for Roma vs Real Madrid (Champions League, Wednesday, 14 October 2026): Roma win 48%, draw 24%, Real Madrid win 28%. Expected goals (xG): Roma 1.66, Real Madrid 1.42. Most likely score: 1-1 (11%). Over 2.5 goals 59%, both teams to score 62%. Double chance: Roma or draw 72%, Real Madrid or draw 52%. Prediction updated Tuesday, 6 October 2026.
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Anna Karlsson · · A data-driven preview · How the predictions work
A stark imbalance in playing styles takes center stage as Roma and Real Madrid clash in the Champions League. The hosts' preference for possession and high pressing stands in contrast to the visitors' strategy of low defense and direct play. Despite Real Madrid's ability to score in 11 straight league games, the model gives Roma a 48% chance to win, overshadowing Real Madrid's 28%. It's a compelling nod toward Roma, suggesting a close match where their approach might just outmaneuver the defensive tactics of the visitors.
Expected goals suggest a narrow advantage for the home side: Roma's 1.66 eclipses Madrid's 1.42. Such figures indicate a game likely decided by slender margins, with a 1-1 draw the most probable scoreline at 11%. Yet, the potential for a 2-1 victory for Roma lurks at 9%, hinting at their capability to edge ahead. The 59% probability for over 2.5 goals and a 62% chance that both teams will find the net paint a picture of a competitive fixture, not one-sided despite the modeled probabilities.
In terms of xPoints and xG, Real Madrid presents a formidable case with 2.7 xPoints against Roma's 0.6 and an xG of 3.3 compared to Roma's 0.41. However, Roma's strength lies in their defensive metrics, boasting an xGA of 0.95 compared to Madrid's 1.6. This defensive resilience may prove crucial in absorbing Madrid's attacking thrust.
The small sample of head-to-head data should be taken lightly here, as current form and expected goals weigh heavily on the outcome. Roma holds the advantage in the model's eyes, and the numbers indeed suggest a thrilling tactical battle where the Italian side could leverage their strategic prowess to tip the scales against a traditionally dominant opponent.
For the sharpest betting angle, consider the value on Roma at odds of 3.7 with Betsafe or Nordicbet. The model gives them a robust 48% chance, presenting an enticing 79% edge. This is where the numbers align with potential profit, offering a calculated risk in favor of the hosts.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Roma | X | 2 · Real Madrid |
|---|---|---|---|
| Betsafe | EV+ 79% 3.70 | 4.05 | 1.88 |
| LeoVegas | EV+ 72% 3.55 | 3.95 | 1.90 |
| Nordicbet | EV+ 79% 3.70 | 4.05 | 1.88 |
| Pinnacle | EV+ 79% 3.69 | 4.03 | 1.92 |
Odds updated 12 Oct, 18:17
3.69 → 3.69
4.07 → 4.03
1.91 → 1.92
Pinnacle · 2 recorded price levels · 12/10/2026 → 12/10/2026 · fixed scale 5 percentage points
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 | Roma | Real Madrid |
|---|---|---|
| Points | 1 | 3 |
| xPoints | 0.6 | 2.7 |
| xG per match | 0.41 | 3.3 |
| xGA per match | 0.95 | 1.6 |
| xG within 8s of winning the ball | 0 | 1.6 |
| xGA within 8s of losing the ball | 0.05 | 0.15 |
| Playing style | Roma | Real Madrid |
|---|---|---|
| Build-up efficiency | 0.29 | 0.37 |
| Field tilt | 0.79 | 0.21 |
| xT per match | 1.1 | 1.3 |
| xTA per match | 0.76 | 1.8 |
| Won balls, offensive half | 32 | 19 |
| Pressing intensity | 0.24 | 0.31 |
| Pressing efficiency | 0.27 | 0.16 |
| Pressing efficiency, offensive half | 0.3 | 0.13 |
| Entries into the box per match | 11 | 18 |
| Entries into the box against | 7 | 32 |
| Pass completion % | 0.84 | 0.82 |
| Pass completion % under pressure | 0.8 | 0.83 |
| Passes per match | 580 | 327 |
| Passes against per match | 410 | 629 |
| Switches of play per match | 53.5 | 16.9 |
| Long balls per match | 32 | 17 |
| Set pieces | Roma | Real Madrid |
|---|---|---|
| xG from free kicks | 0.09 | 0.11 |
| Corners per match | 3.2 | 4.2 |
| Corners against per match | 1.1 | 11.7 |
| xG per corner | 0 | 0.01 |
| xGA per corner against | 0 | 0.03 |
| First touch, offensive corners % | 0.33 | 0 |
| First touch, defensive corners % | 1 | 0.55 |
| Other | Roma | Real Madrid |
|---|---|---|
| Throw-in control | 0.79 | 0.59 |
| The goalkeepers | Mile Svilar (Roma) | Thibaut Courtois (Real Madrid) |
|---|---|---|
| Saves | 4 | 7 |
| Save % | 80% | 88% |
| xG prevented | 70% | 77% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Roma a 48% win probability. Full 1X2 picture: Roma 48%, draw 24%, Real Madrid 28%.
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 62% according to the model.
The model expects 1.66 goals (xG) for Roma and 1.42 for Real Madrid, 3.07 in total.
Roma or draw (1X) 72%, Real Madrid or draw (X2) 52% and no draw (12) 76%.
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.