01 · 2 legs
Safe
- Double chance Rijeka or draw (1X)64%
- Under 3.5 goals72%
Croatian HNL23°13 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
The tension in this Croatian HNL clash is rooted in Rijeka's formidable home record against Hajduk Split's current win streak. The hosts have historically dominated at home, winning 65% of their matches, while the visitors are riding high after five straight league victories. Yet, the model slightly leans towards Rijeka with a 40% chance of victory. This tilt is reflected in the expected goals, where Rijeka edges out at 1.36 to Hajduk's 1.32, suggesting a marginal but crucial advantage.
Despite Hajduk's recent form, the historical head-to-head is evenly balanced since 2023, with both sides claiming two victories each out of eight encounters. This small sample sizes these meetings and renders current form and expected goals more relevant. Rijeka’s ability to secure points at home weighs heavily in their favor, though Hajduk's consistent scoring streak in nine consecutive matches cannot be ignored.
The most likely scoreline is predicted at 1-1, with a draw also looming large. The over 2.5 goals metric sits at 50%, suggesting an evenly balanced outlook between high- and low-scoring outcomes. However, both teams scoring at 55% hints at competitive action.
The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Rijeka | X | 2 · Hajduk Split |
|---|---|---|---|
| Betsafe | 1.88 | 3.30 | EV+ 20% 3.90 |
| Betsson | 1.88 | 3.30 | EV+ 20% 3.90 |
| Nordicbet | 1.88 | 3.30 | EV+ 20% 3.90 |
| Pinnacle | 1.91 | EV+ 1% 3.49 | EV+ 25% 4.08 |
Odds updated 20 Sept, 10:35
1.93 → 1.91
3.38 → 3.49
3.85 → 4.08
1.88 → 1.88
Pinnacle · 15 recorded price levels · 14/09/2026 → 20/09/2026 · fixed scale 10 percentage points
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 | 11 | 16 |
| xPoints | 11.2 | 12.5 |
| xG per match | 1.9 | 1.8 |
| xGA per match | 0.58 | 0.63 |
| xG within 8s of winning the ball | 0.3 | 0.25 |
| xGA within 8s of losing the ball | 0.1 | 0.08 |
| Playing style | Rijeka | Hajduk Split |
|---|---|---|
| Build-up efficiency | 0.31 | 0.31 |
| Field tilt | 0.85 | 0.72 |
| xT per match | 1.4 | 1.2 |
| xTA per match | 0.56 | 0.54 |
| Won balls, offensive half | 31 | 29 |
| Pressing intensity | 0.21 | 0.23 |
| Pressing efficiency | 0.37 | 0.34 |
| Pressing efficiency, offensive half | 0.36 | 0.27 |
| Entries into the box per match | 19 | 14 |
| Entries into the box against | 5 | 7 |
| Pass completion % | 0.8 | 0.82 |
| Pass completion % under pressure | 0.74 | 0.76 |
| Passes per match | 478 | 444 |
| Passes against per match | 264 | 244 |
| Switches of play per match | 33.9 | 30.6 |
| Long balls per match | 36 | 36 |
| Set pieces | Rijeka | Hajduk Split |
|---|---|---|
| xG from free kicks | 0.03 | 0.01 |
| Corners per match | 8.2 | 4.7 |
| Corners against per match | 2.4 | 2.5 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.01 | 0 |
| First touch, offensive corners % | 0.37 | 0.42 |
| First touch, defensive corners % | 0.5 | 0.83 |
| Other | Rijeka | Hajduk Split |
|---|---|---|
| Throw-in control | 0.67 | 0.74 |
| The goalkeepers | Aleksa Todorović (Rijeka) | Toni Silić (Hajduk Split) |
|---|---|---|
| Saves | 6 | 10 |
| Save % | 55% | 67% |
| xG prevented | 43% | 27% |
| 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.