01 · 2 legs
Safe
- Red Star Belgrade to win62%
- Over 1.5 goals85%
Serbian Super LeagueRajko Mitić-stadion, Belgrad25°0,1 mm17 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT: Red Star Belgrade's attacking prowess is clear, scoring an impressive 3.0 expected goals per match. This high-octane approach pairs well with their formidable home record, winning 83% of their matches in front of their fans. The hosts' current form is relentless, boasting five consecutive victories, and they easily won five of the last six meetings with their bitter rivals. This recent streak, alongside their superior xG of 2.37 for the upcoming clash, makes them overwhelming favorites.
On the other side, Partizan Belgrade enters this encounter as the underdog with only a 16% chance of winning, according to the model. Their possession and high-press tactics mirror Red Star's, but they've struggled to consistently convert this into results. Averaging just 1.02 expected goals in this matchup highlights their uphill struggle. While both teams tend to score, reflected in the 58% probability for both teams to find the net, Partizan's defensive vulnerabilities could be exposed by Red Star's relentless attack.
Given the history, the average of 3.7 goals per meeting suggests a high-scoring affair, further supported by a 66% chance of over 2.5 goals. However, Red Star's dominance in this fixture, combined with their solid defensive record of 0.71 xGA per match, tilts the likelihood towards a home victory with a 2-0 or 2-1 scoreline as the most probable.
With Red Star's offensive efficiency and Partizan's struggles, the hosts winning with a few goals on the board seems the most logical outcome.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Serbian Super League data since 2023.
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 | Red Star Belgrade | Partizan Belgrade |
|---|---|---|
| Points | 15 | 7 |
| xPoints | 11.2 | 8.9 |
| xG per match | 3 | 1.6 |
| xGA per match | 0.71 | 0.99 |
| xG within 8s of winning the ball | 0.45 | 0.16 |
| xGA within 8s of losing the ball | 0.1 | 0.15 |
| Playing style | Red Star Belgrade | Partizan Belgrade |
|---|---|---|
| Build-up efficiency | 0.33 | 0.3 |
| Field tilt | 0.73 | 0.74 |
| xT per match | 2 | 1.3 |
| xTA per match | 0.71 | 0.93 |
| Won balls, offensive half | 28 | 29 |
| Pressing intensity | 0.22 | 0.19 |
| Pressing efficiency | 0.34 | 0.35 |
| Pressing efficiency, offensive half | 0.3 | 0.34 |
| Entries into the box per match | 22 | 17 |
| Entries into the box against | 9 | 9 |
| Pass completion % | 0.83 | 0.78 |
| Pass completion % under pressure | 0.77 | 0.75 |
| Passes per match | 492 | 424 |
| Passes against per match | 283 | 215 |
| Switches of play per match | 41.9 | 37.4 |
| Long balls per match | 47 | 52 |
| Set pieces | Red Star Belgrade | Partizan Belgrade |
|---|---|---|
| xG from free kicks | 0.05 | 0.05 |
| Corners per match | 5.3 | 5.4 |
| Corners against per match | 2.6 | 2.5 |
| xG per corner | 0.03 | 0.02 |
| xGA per corner against | 0 | 0.04 |
| First touch, offensive corners % | 0.69 | 0.42 |
| First touch, defensive corners % | 0.69 | 0.6 |
| Other | Red Star Belgrade | Partizan Belgrade |
|---|---|---|
| Throw-in control | 0.9 | 0.7 |
| The goalkeepers | Matheus Lima Magalhães (Red Star Belgrade) | Miloš Krunić (Partizan Belgrade) |
|---|---|---|
| Saves | 13 | 11 |
| Save % | 93% | 61% |
| xG prevented | 80% | 38% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Red Star Belgrade a 62% win probability. Full 1X2 picture: Red Star Belgrade 62%, draw 21%, Partizan Belgrade 16%.
The model's most likely final score is 2-1 at 10% probability.
The model rates over 2.5 goals at 66% and under at 34%.
The probability of both teams scoring is 58% 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.