01 · 2 legs
Safe
- Partizan Belgrade to win52%
- Over 1.5 goals77%
Serbian Super League
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT: Radnik Surdulica's recent form might give them hope, but the numbers suggest a different story when they face Partizan Belgrade. Despite the hosts' higher point tally of 12 compared to Partizan's 7, the head-to-head record since 2023 tells a sobering tale for Radnik: three encounters, three losses. With such a small sample size, these results hold less weight than current form and expected goals, yet they hint at a psychological hurdle.
The expected goals (xG) provide a clearer lens. Partizan's 1.67 xG per match against Radnik's 1.09 suggests the visitors have the upper hand in creating quality chances. Yet, Radnik's ability to slightly outperform their expected points (11.1 xPoints vs. 9.3 for Partizan) indicates resilience, a quality that could keep them in the game longer than the odds suggest.
Both teams adopt a possession-heavy, high-press style, which often leads to open games. The model's 52% probability for over 2.5 goals reflects this. However, Radnik's higher expected goals against (xGA) of 1.6 compared to Partizan’s 1.2 could be their undoing, especially if the visitors capitalize on defensive lapses.
While the model leans toward Partizan with a 52% win probability, there's a significant chance of a draw at 26%, with the 1-1 scoreline being the most likely outcome at 12%. The odds, however, may not fully account for Radnik's edge in actual form.
With both teams employing high-press tactics, expect an intense battle where defensive discipline could determine the winner. The smart money remains on Partizan, but a draw could offer the real betting edge.
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 | Radnik Surdulica | Partizan Belgrade |
|---|---|---|
| Points | 12 | 7 |
| xPoints | 11.1 | 9.3 |
| xG per match | 1.1 | 1.5 |
| xGA per match | 1.6 | 1.2 |
| xG within 8s of winning the ball | 0.13 | 0.14 |
| xGA within 8s of losing the ball | 0.35 | 0.17 |
| Playing style | Radnik Surdulica | Partizan Belgrade |
|---|---|---|
| Build-up efficiency | 0.28 | 0.3 |
| Field tilt | 0.45 | 0.7 |
| xT per match | 0.87 | 1.3 |
| xTA per match | 1.5 | 1 |
| Won balls, offensive half | 22 | 28 |
| Pressing intensity | 0.23 | 0.2 |
| Pressing efficiency | 0.3 | 0.32 |
| Pressing efficiency, offensive half | 0.26 | 0.31 |
| Entries into the box per match | 11 | 16 |
| Entries into the box against | 13 | 10 |
| Pass completion % | 0.7 | 0.78 |
| Pass completion % under pressure | 0.67 | 0.75 |
| Passes per match | 262 | 406 |
| Passes against per match | 352 | 231 |
| Switches of play per match | 14.9 | 35.9 |
| Long balls per match | 24 | 50 |
| Set pieces | Radnik Surdulica | Partizan Belgrade |
|---|---|---|
| xG from free kicks | 0.01 | 0.04 |
| Corners per match | 4 | 5.2 |
| Corners against per match | 5.2 | 2.4 |
| xG per corner | 0.03 | 0.02 |
| xGA per corner against | 0.02 | 0.04 |
| First touch, offensive corners % | 0.38 | 0.41 |
| First touch, defensive corners % | 0.55 | 0.59 |
| Other | Radnik Surdulica | Partizan Belgrade |
|---|---|---|
| Throw-in control | 0.74 | 0.71 |
| The goalkeepers | Stefan Ranđelović (Radnik Surdulica) | Miloš Krunić (Partizan Belgrade) |
|---|---|---|
| Saves | 26 | 13 |
| Save % | 74% | 59% |
| xG prevented | 36% | 28% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Partizan Belgrade a 52% win probability. Full 1X2 picture: Radnik Surdulica 22%, draw 26%, Partizan Belgrade 52%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 52% and under at 48%.
The probability of both teams scoring is 54% 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.