01 · 2 legs
Safe
- Jablonec to win72%
- Over 1.5 goals80%
Czech First League11°1,5 mm22 km/h
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JablonecCounter-attacks & crosses
ZlínPossession controlSofia Andersson · · The model's read on the match · How the predictions work
Two matches into their recent head-to-head record, Jablonec and Zlín have traded victories. While this small sample offers some intrigue, the real story lies in the current form and expected goals. Jablonec's 72% win probability is backed by both tangible results and underlying metrics that favor them heavily. In stark contrast, Zlín's seven-match losing streak underscores their struggles this season.
Delving into the numbers, Jablonec's expected goals (xG) of 2.28 dwarfs Zlín's 0.74, painting a picture of a likely dominant performance by the hosts. The home side's style of play, focusing on counterattacks and crosses, seems well-suited to exploit Zlín's vulnerability, highlighted by their 1.8 expected goals against (xGA) per match. This defensive frailty could see them overwhelmed by Jablonec's attacking prowess.
Although the over 2.5 goals probability stands at 58%, suggesting a potential for goals, the match may hinge on Jablonec's ability to capitalize on their chances while keeping Zlín at bay. Given the visitors' possession-based approach, they might struggle to turn control into opportunities against a more efficient Jablonec.
The clearest betting angle emerges from Jablonec's dominance in both form and expected goals. With a most likely scoreline of 2-0, there's value in backing the hosts to win to nil, especially given Zlín's scoring woes. For those interested in a sharper edge, look to Bet365, where Jablonec to win to nil is available at attractive odds of 2.50. With the hosts set to assert their superiority, this bet aligns perfectly with the numbers.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Czech First 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 | Jablonec | Zlín |
|---|---|---|
| Points | 13 | 0 |
| xPoints | 10.9 | 5.8 |
| xG per match | 1.6 | 0.85 |
| xGA per match | 1 | 1.8 |
| xG within 8s of winning the ball | 0.39 | 0.18 |
| xGA within 8s of losing the ball | 0.21 | 0.24 |
| Playing style | Jablonec | Zlín |
|---|---|---|
| Build-up efficiency | 0.33 | 0.31 |
| Field tilt | 0.52 | 0.38 |
| xT per match | 1.3 | 0.7 |
| xTA per match | 1.1 | 1 |
| Won balls, offensive half | 21 | 25 |
| Pressing intensity | 0.24 | 0.24 |
| Pressing efficiency | 0.32 | 0.3 |
| Pressing efficiency, offensive half | 0.27 | 0.25 |
| Entries into the box per match | 13 | 9 |
| Entries into the box against | 12 | 13 |
| Pass completion % | 0.77 | 0.69 |
| Pass completion % under pressure | 0.72 | 0.62 |
| Passes per match | 375 | 245 |
| Passes against per match | 293 | 321 |
| Switches of play per match | 35.1 | 26.7 |
| Long balls per match | 38 | 34 |
| Set pieces | Jablonec | Zlín |
|---|---|---|
| xG from free kicks | 0.11 | 0.05 |
| Corners per match | 4.9 | 3.7 |
| Corners against per match | 3.7 | 5.4 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.01 | 0.02 |
| First touch, offensive corners % | 0.4 | 0.38 |
| First touch, defensive corners % | 0.65 | 0.63 |
| Other | Jablonec | Zlín |
|---|---|---|
| Throw-in control | 0.77 | 0.66 |
| The goalkeepers | Klemen Mihelak (Jablonec) | Stanislav Dostal (Zlín) |
|---|---|---|
| Saves | 12 | 15 |
| Save % | 75% | 52% |
| xG prevented | 37% | 29% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Jablonec a 72% win probability. Full 1X2 picture: Jablonec 72%, draw 18%, Zlín 10%.
The model's most likely final score is 2-0 at 13% probability.
The model rates over 2.5 goals at 58% and under at 42%.
The probability of both teams scoring is 47% 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.