01 · 2 legs
Safe
- Red Star Belgrade to win60%
- Over 1.5 goals80%
Serbian Super League19°14 km/h
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IMTPossession & high pressMarcus Johansson · · Analysis from the match model · How the predictions work
TEXT: Red Star Belgrade's unbeaten streak of seven league matches sets the stage for this clash against IMT, who have yet to earn a point in four head-to-head meetings since 2023. The stark contrast in the expected goals (xG) figures highlights Red Star's attacking prowess, with 2.7 xG per match dwarfing IMT's 1.4. This offensive firepower positions the visitors as clear favorites, bolstered by a solid defense allowing just 0.63 expected goals against (xGA) per match.
Both teams deploy a high-pressing, possession-oriented style, which could lead to a congested midfield battle but may also create spaces behind the defensive lines. The model leans towards Red Star, giving them a 60% chance of victory. Meanwhile, the most probable scorelines suggest a close affair, with 1-1 and 1-2 both at 10% or higher. Yet, the visitors' superior xG figures indicate they should be able to carve out more significant opportunities.
IMT, despite their high press, struggle to convert possession into tangible results against top-tier opposition. Their xPoints of 11.6 compared to Red Star's 15.1 further emphasize this gap. While the hosts might disrupt Red Star's rhythm at times, their historical inability to secure a result against these opponents, albeit in a small sample size, is telling.
With an over 2.5 goals probability at 57% and both teams to score at 56%, the model suggests a relatively open match. Yet, Red Star's defensive record hints they might keep IMT at bay. A 1-2 victory for the visitors seems the most fitting outcome.
For bettors, the model's 60% probability for a Red Star Belgrade win suggests a meaningful edge over a break-even implied probability, making them the favored side to back in this market.
01 · 2 legs
02 · 3 legs
03 · 4 legs
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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 | IMT | Red Star Belgrade |
|---|---|---|
| Points | 13 | 19 |
| xPoints | 11.6 | 15.1 |
| xG per match | 1.4 | 2.7 |
| xGA per match | 0.84 | 0.63 |
| xG within 8s of winning the ball | 0.21 | 0.36 |
| xGA within 8s of losing the ball | 0.2 | 0.08 |
| Playing style | IMT | Red Star Belgrade |
|---|---|---|
| Build-up efficiency | 0.29 | 0.34 |
| Field tilt | 0.57 | 0.75 |
| xT per match | 1 | 2.1 |
| xTA per match | 0.64 | 0.76 |
| Won balls, offensive half | 30 | 24 |
| Pressing intensity | 0.2 | 0.21 |
| Pressing efficiency | 0.36 | 0.34 |
| Pressing efficiency, offensive half | 0.32 | 0.28 |
| Entries into the box per match | 12 | 20 |
| Entries into the box against | 9 | 8 |
| Pass completion % | 0.72 | 0.83 |
| Pass completion % under pressure | 0.7 | 0.78 |
| Passes per match | 307 | 495 |
| Passes against per match | 262 | 266 |
| Switches of play per match | 16.8 | 46.9 |
| Long balls per match | 29 | 50 |
| Set pieces | IMT | Red Star Belgrade |
|---|---|---|
| xG from free kicks | 0.04 | 0.03 |
| Corners per match | 5.4 | 4.9 |
| Corners against per match | 3.4 | 2.6 |
| xG per corner | 0.03 | 0.03 |
| xGA per corner against | 0.01 | 0.01 |
| First touch, offensive corners % | 0.34 | 0.68 |
| First touch, defensive corners % | 0.58 | 0.67 |
| Other | IMT | Red Star Belgrade |
|---|---|---|
| Throw-in control | 0.72 | 0.89 |
| The goalkeepers | Ognjen Čančarević (IMT) | Matheus Lima Magalhães (Red Star Belgrade) |
|---|---|---|
| Saves | 14 | 19 |
| Save % | 78% | 91% |
| xG prevented | 53% | 66% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Red Star Belgrade a 60% win probability. Full 1X2 picture: IMT 17%, draw 23%, Red Star Belgrade 60%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 57% and under at 43%.
The probability of both teams scoring is 56% 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.