01 · 2 legs
Safe
- Double chance Rijeka or draw (1X)64%
- Under 3.5 goals72%
Croatian HNL19°1,5 mm9 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
FAKTA doesn't mention any betting odds or bookmaker. The final paragraph fabricates specific odds (2.50 with Betfair) not supported by the data.
Corrected text:
Under the floodlights tomorrow, the clash between Rijeka and Hajduk Split promises to be a tightly contested affair. Both teams come armed with high possession and pressing styles, setting the stage for a midfield battle that could dictate the outcome. The model leans slightly towards Rijeka at 40%, but the proximity in probabilities—Hajduk at 31%—signals a razor-thin margin. The most likely scorelines, 1-1 and 1-0, underline this expected closeness, with neither side holding a definitive upper hand.
Hajduk Split's current form adds an intriguing layer. Riding a wave of four consecutive wins and having scored in eight straight league matches, their momentum is palpable. However, Rijeka's formidable home statistics should not be ignored; they claim victory in 65% of their home games. The head-to-head sample since 2023 is small yet perfectly balanced with two wins apiece and four draws, underscoring the even nature of this rivalry. Yet, in terms of points and xPoints, Hajduk shows a slight edge, hinting at their ability to grind out results.
Expected goals (xG) figures echo the likelihood of a close, low-scoring contest: Rijeka at 1.36 and Hajduk at 1.32. While xG per match slightly favors Rijeka at 1.9, their defensive xGA of 0.62 suggests a robust backline that could stifle Hajduk's advances. This equilibrium in the numbers points towards a tactical chess game rather than an open-ended shootout, reflected in the 50% over 2.5 goals probability.
The model's slight lean towards Rijeka, despite Hajduk's strong recent form, combined with the hosts' strong historical home performance, makes this an intriguing matchup to watch.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Croatian HNL 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 | Rijeka | Hajduk Split |
|---|---|---|
| Points | 10 | 13 |
| xPoints | 9.7 | 10.9 |
| xG per match | 1.9 | 1.9 |
| xGA per match | 0.62 | 0.67 |
| xG within 8s of winning the ball | 0.33 | 0.28 |
| xGA within 8s of losing the ball | 0.11 | 0.08 |
| Playing style | Rijeka | Hajduk Split |
|---|---|---|
| Build-up efficiency | 0.31 | 0.31 |
| Field tilt | 0.85 | 0.72 |
| xT per match | 1.3 | 1.3 |
| xTA per match | 0.57 | 0.56 |
| Won balls, offensive half | 31 | 29 |
| Pressing intensity | 0.21 | 0.23 |
| Pressing efficiency | 0.35 | 0.35 |
| Pressing efficiency, offensive half | 0.34 | 0.27 |
| Entries into the box per match | 18 | 15 |
| Entries into the box against | 4 | 7 |
| Pass completion % | 0.8 | 0.81 |
| Pass completion % under pressure | 0.74 | 0.75 |
| Passes per match | 488 | 428 |
| Passes against per match | 279 | 249 |
| Switches of play per match | 35.4 | 30.8 |
| Long balls per match | 36 | 37 |
| Set pieces | Rijeka | Hajduk Split |
|---|---|---|
| xG from free kicks | 0.03 | 0.01 |
| Corners per match | 7.6 | 5 |
| Corners against per match | 2.4 | 2.3 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.01 | 0 |
| First touch, offensive corners % | 0.39 | 0.4 |
| First touch, defensive corners % | 0.5 | 0.79 |
| Other | Rijeka | Hajduk Split |
|---|---|---|
| Throw-in control | 0.64 | 0.77 |
| The goalkeepers | Aleksa Todorović (Rijeka) | Toni Silić (Hajduk Split) |
|---|---|---|
| Saves | 6 | 8 |
| Save % | 55% | 62% |
| xG prevented | 43% | 21% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Rijeka a 40% win probability. Full 1X2 picture: Rijeka 40%, draw 29%, Hajduk Split 31%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 50% and under at 50%.
The probability of both teams scoring is 55% 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.