01 · 2 legs
Safe
- Žilina to win68%
- Over 1.5 goals88%
Slovak Super LeagueŠtadión pod Dubňom, Žilina15°0,3 mm17 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
TEXT: Žilina's dominance over Trenčín is clear in their recent encounters, having won three of the last four meetings since 2023. Yet, this head-to-head sample is small and shouldn't overshadow the broader narrative shaped by form and expected goals. The hosts are riding high on a four-match winning streak, a testament to their consistency and resilience this season. Trenčín, contrastingly, struggles with only five points so far, and their counter-attacking style may falter against Žilina's high-pressing game.
Žilina's home fortress has seen them secure wins in 56% of their matches historically, a formidable record that bolsters their model probability of 68% to take this fixture. Their tactical approach, centered on possession and pressing, is likely to suffocate Trenčín's attempts to play on the break. The expected goals model paints a picture of Žilina generating 2.48 xG compared to Trenčín's 1.14, underscoring the home side's attacking prowess.
Goals are likely in this matchup, with the probability of over 2.5 goals standing at 70%, and both teams to score at 62%. The most likely outcome leans towards a 2-1 victory for the hosts. Žilina's attack should find avenues through Trenčín’s defense, which concedes an average of 1.7 xGA per match, the worst between the two sides.
With MSK Žilina in fine form and the tactical battle likely to swing in their favor, backing them could offer value, given their dominance in recent form and expected goals. This assessment aligns with the model's backing, making it the sharpest angle from both a statistical and betting perspective.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Slovak 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 | Žilina | Trenčín |
|---|---|---|
| Points | 16 | 5 |
| xPoints | 9.4 | 6.9 |
| xG per match | 1.7 | 1.4 |
| xGA per match | 1.5 | 1.7 |
| xG within 8s of winning the ball | 0.39 | 0.3 |
| xGA within 8s of losing the ball | 0.26 | 0.35 |
| Playing style | Žilina | Trenčín |
|---|---|---|
| Build-up efficiency | 0.31 | 0.3 |
| Field tilt | 0.53 | 0.46 |
| xT per match | 1.2 | 1.1 |
| xTA per match | 1.1 | 1.4 |
| Won balls, offensive half | 21 | 28 |
| Pressing intensity | 0.22 | 0.24 |
| Pressing efficiency | 0.28 | 0.33 |
| Pressing efficiency, offensive half | 0.26 | 0.31 |
| Entries into the box per match | 14 | 12 |
| Entries into the box against | 12 | 16 |
| Pass completion % | 0.77 | 0.75 |
| Pass completion % under pressure | 0.75 | 0.71 |
| Passes per match | 387 | 351 |
| Passes against per match | 293 | 282 |
| Switches of play per match | 19.8 | 20.8 |
| Long balls per match | 29 | 26 |
| Set pieces | Žilina | Trenčín |
|---|---|---|
| xG from free kicks | 0.04 | 0.08 |
| Corners per match | 6.3 | 4.8 |
| Corners against per match | 5.6 | 6.8 |
| xG per corner | 0.03 | 0.02 |
| xGA per corner against | 0.01 | 0.03 |
| First touch, offensive corners % | 0.39 | 0.28 |
| First touch, defensive corners % | 0.64 | 0.55 |
| Other | Žilina | Trenčín |
|---|---|---|
| Throw-in control | 0.75 | 0.74 |
| The goalkeepers | David Sipos (Žilina) | Andrija Katic (Trenčín) |
|---|---|---|
| Saves | 23 | 14 |
| Save % | 70% | 61% |
| xG prevented | 49% | 25% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Žilina a 68% win probability. Full 1X2 picture: Žilina 68%, draw 18%, Trenčín 15%.
The model's most likely final score is 2-1 at 9% probability.
The model rates over 2.5 goals at 70% and under at 30%.
The probability of both teams scoring is 62% 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.