01 · 2 legs
Safe
- Gorica to win50%
- Under 3.5 goals78%
Croatian HNL11°18,3 mm14 km/h
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Marcus Johansson · · Analysis from the match model · How the predictions work
Gorica's clash with Rudeš sets up a tactical battle defined by direct play, with both teams leaning on low defenses. In a contest likely to be determined by who can best exploit their forward thrust, Gorica holds the upper hand. They not only enjoy a points advantage, 5 to Rudeš's 4, but also a superior xPoints tally of 8.6 compared to 5.4. Gorica's expected goals per match at 0.84 surpass Rudeš's 0.63, reflecting their slightly more potent attack. Though neither team is prolific in front of goal, Gorica's edge is clear.
The numbers tell a consistent story: Gorica is better positioned on both ends of the pitch. Their xGA stands at 1.6, significantly lower than Rudeš's 2.2, highlighting a tighter defense that could be crucial in a game this likely to be decided by fine margins. The model's most probable outcomes—1-0 and 1-1, each at 13%—indicate a close contest, but one that leans towards Gorica's favor based on their overall statistical edge.
With both teams employing similar tactics, each relying on direct play from deep positions, the likelihood of a high-scoring affair diminishes. The probability of over 2.5 goals sits at just 43%, while the chances of both teams finding the net are at 46%. These numbers align with the expected defensive setups and suggest a tighter contest, likely settled by a solitary goal or two.
For value-seekers, the model's 50% probability backing Gorica to win might present an opportunity if the odds are favorable. One bookmaker, Bet365, offers Gorica at 2.00, which, given the statistical indicators, could represent positive expected value. As the numbers suggest, Gorica's marginal superiority should see them edge out a victory in a hard-fought match.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Gorica | X | 2 · Rudeš |
|---|---|---|---|
| Betsafe | 1.55 | EV+ 16% 3.85 | EV+ 2% 5.10 |
| Nordicbet | 1.55 | EV+ 16% 3.85 | EV+ 2% 5.10 |
| Pinnacle | 1.57 | EV+ 19% 3.98 | EV+ 5% 5.25 |
Odds updated 3 Oct, 07:03
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 | Gorica | Rudeš |
|---|---|---|
| Points | 5 | 4 |
| xPoints | 8.6 | 5.4 |
| xG per match | 0.84 | 0.63 |
| xGA per match | 1.6 | 2.2 |
| xG within 8s of winning the ball | 0.15 | 0.06 |
| xGA within 8s of losing the ball | 0.24 | 0.31 |
| Playing style | Gorica | Rudeš |
|---|---|---|
| Build-up efficiency | 0.28 | 0.28 |
| Field tilt | 0.31 | 0.36 |
| xT per match | 0.73 | 0.63 |
| xTA per match | 1.4 | 1.3 |
| Won balls, offensive half | 23 | 20 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.29 | 0.27 |
| Pressing efficiency, offensive half | 0.24 | 0.22 |
| Entries into the box per match | 9 | 7 |
| Entries into the box against | 14 | 14 |
| Pass completion % | 0.71 | 0.71 |
| Pass completion % under pressure | 0.66 | 0.65 |
| Passes per match | 293 | 265 |
| Passes against per match | 400 | 412 |
| Switches of play per match | 20.1 | 22 |
| Long balls per match | 30 | 29 |
| Set pieces | Gorica | Rudeš |
|---|---|---|
| xG from free kicks | 0.04 | 0.1 |
| Corners per match | 2.6 | 3.5 |
| Corners against per match | 5.7 | 6.7 |
| xG per corner | 0.04 | 0.02 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.43 | 0.43 |
| First touch, defensive corners % | 0.57 | 0.57 |
| Other | Gorica | Rudeš |
|---|---|---|
| Throw-in control | 0.69 | 0.61 |
| The goalkeepers | Renato Josipović (Gorica) | Lovre Rogić (Rudeš) |
|---|---|---|
| Saves | 24 | 27 |
| Save % | 89% | 53% |
| xG prevented | 67% | 24% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Gorica a 50% win probability. Full 1X2 picture: Gorica 50%, draw 30%, Rudeš 20%.
The model's most likely final score is 1-0 at 13% probability.
The model rates over 2.5 goals at 43% and under at 57%.
The probability of both teams scoring is 46% 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.

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Hämta bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.