01 · 2 legs
Safe
- Viktoria Plzeň to win67%
- Over 1.5 goals80%
Czech First League22°0,6 mm23 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
TEXT: The head-to-head record between Artis Brno and Viktoria Plzeň is strikingly scarce, offering little data to overshadow current form and expected goals. What stands out is the unequivocal lean towards the visitors in every key metric, suggesting a continuation of Brno's struggles against stronger opponents. Viktoria Plzeň's dominant high-pressing style seems tailored to exploit Brno's leaky defense, which has been conceding at an average of 1.8 goals per match.
Plzeň's recent form, buoyed by their aggressive offensive metrics, provides clarity to the model's confidence in their victory. The visitors average 1.6 expected goals per game, a significant edge over Brno's 0.95. This statistical superiority is further highlighted by the model's 67% win probability for Plzeň, leaving little room for doubt about the likely direction of the match.
While Brno attempts to maintain control through possession, their inability to convert this into meaningful goal-scoring opportunities is evident in their meager expected goals tally. Plzeň, on the other hand, transforms possession into consistent threats, reflected in their superior xPoints of 7.6 compared to Brno's 5.9. The expected scorelines of 0-2 and 0-1, along with a 57% probability of over 2.5 goals, point to a match likely to be dominated by Plzeň while still producing a healthy goal tally.
For bettors, the standout angle lies in the combination of Plzeň's win probability and the over 2.5 goals market, which stands at 57%. Given Plzeň's attacking prowess and Brno's defensive vulnerabilities, this presents a promising opportunity to leverage the anticipated flow of the game.
01 · 2 legs
02 · 3 legs
03 · 4 legs
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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 | Artis Brno | Viktoria Plzeň |
|---|---|---|
| Points | 4 | 6 |
| xPoints | 5.9 | 7.6 |
| xG per match | 0.95 | 1.6 |
| xGA per match | 1.8 | 1.1 |
| xG within 8s of winning the ball | 0.18 | 0.12 |
| xGA within 8s of losing the ball | 0.26 | 0.18 |
| Playing style | Artis Brno | Viktoria Plzeň |
|---|---|---|
| Build-up efficiency | 0.28 | 0.33 |
| Field tilt | 0.31 | 0.59 |
| xT per match | 1 | 1.3 |
| xTA per match | 1.1 | 0.72 |
| Won balls, offensive half | 22 | 23 |
| Pressing intensity | 0.23 | 0.21 |
| Pressing efficiency | 0.26 | 0.31 |
| Pressing efficiency, offensive half | 0.24 | 0.24 |
| Entries into the box per match | 11 | 15 |
| Entries into the box against | 13 | 12 |
| Pass completion % | 0.7 | 0.78 |
| Pass completion % under pressure | 0.66 | 0.74 |
| Passes per match | 233 | 404 |
| Passes against per match | 371 | 267 |
| Switches of play per match | 29 | 30.4 |
| Long balls per match | 37 | 35 |
| Set pieces | Artis Brno | Viktoria Plzeň |
|---|---|---|
| xG from free kicks | 0.07 | 0.08 |
| Corners per match | 2.7 | 4.4 |
| Corners against per match | 5 | 3.4 |
| xG per corner | 0.03 | 0.02 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.38 | 0.55 |
| First touch, defensive corners % | 0.47 | 0.47 |
| Other | Artis Brno | Viktoria Plzeň |
|---|---|---|
| Throw-in control | 0.62 | 0.77 |
| The goalkeepers | Tadeáš Stoppen (Artis Brno) | Florian Wiegele (Viktoria Plzeň) |
|---|---|---|
| Saves | 24 | 16 |
| Save % | 71% | 59% |
| xG prevented | 40% | 43% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Viktoria Plzeň a 67% win probability. Full 1X2 picture: Artis Brno 13%, draw 20%, Viktoria Plzeň 67%.
The model's most likely final score is 0-2 at 12% probability.
The model rates over 2.5 goals at 57% and under at 43%.
The probability of both teams scoring is 49% 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.