01 · 2 legs
Safe
- Viktoria Plzeň to win71%
- Over 1.5 goals77%
Czech First League20°22 km/h
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SlováckoBalanced & physicalErik Lindberg · · Written from the model's numbers · How the predictions work
Viktoria Plzeň boasts a hefty 71% probability of securing victory against Slovácko, underlining their strong standing in this Czech First League clash. Despite a modest head-to-head record since 2023, where the teams split results over four encounters, the hosts' dominance is supported by their superior home win rate of 62% across 39 matches. Meanwhile, Slovácko stumbles into this fixture on a three-game losing streak, further tipping the scales in Plzeň's favor.
Expected goals solidify Plzeň's upper hand, projecting 2.07 against Slovácko's 0.71. While the visitors favor a balanced and physical approach, it may struggle against Plzeň's counter-attacking prowess. Most likely scorelines, either a 2-0 or 1-0 win, align with this expectation, both reflecting a 13% chance. There's a slight lean towards over 2.5 goals at 53%, yet the probability of both teams scoring sits at a restrained 45%.
For bettors seeking value, the real edge lies in the under 2.5 goals market. With Betsafe, Betsson, and Nordicbet all offering odds of 2.42, there’s a notable 15% value edge. This underlines a calculated risk, particularly appealing given the scoring projections and Slovácko's recent form woes.
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 · Viktoria Plzeň | X | 2 · Slovácko |
|---|---|---|---|
| Betsafe | 1.27 | EV+ 0% 5.35 | 8.40 |
| Betsson | 1.27 | EV+ 0% 5.35 | 8.40 |
| Nordicbet | 1.27 | EV+ 0% 5.35 | 8.40 |
Odds updated 28 Aug, 09:42
1.30 → 1.27
4.95 → 5.35
8.20 → 8.40
1.52 → 1.49
Betsson · 8 recorded price levels · 23/08/2026 → 28/08/2026 · fixed scale 5 percentage points
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 | Viktoria Plzeň | Slovácko |
|---|---|---|
| Points | 5 | 1 |
| xPoints | 5.5 | 5.8 |
| xG per match | 1.6 | 0.98 |
| xGA per match | 1.3 | 1.5 |
| xG within 8s of winning the ball | 0.11 | 0.13 |
| xGA within 8s of losing the ball | 0.21 | 0.47 |
| Playing style | Viktoria Plzeň | Slovácko |
|---|---|---|
| Build-up efficiency | 0.33 | 0.35 |
| Field tilt | 0.6 | 0.48 |
| xT per match | 1.3 | 0.96 |
| xTA per match | 0.74 | 0.93 |
| Won balls, offensive half | 21 | 26 |
| Pressing intensity | 0.21 | 0.24 |
| Pressing efficiency | 0.33 | 0.28 |
| Pressing efficiency, offensive half | 0.28 | 0.25 |
| Entries into the box per match | 14 | 9 |
| Entries into the box against | 12 | 10 |
| Pass completion % | 0.79 | 0.77 |
| Pass completion % under pressure | 0.76 | 0.74 |
| Passes per match | 404 | 345 |
| Passes against per match | 254 | 358 |
| Switches of play per match | 32.6 | 16.7 |
| Long balls per match | 37 | 28 |
| Set pieces | Viktoria Plzeň | Slovácko |
|---|---|---|
| xG from free kicks | 0.1 | 0.09 |
| Corners per match | 4.3 | 3.9 |
| Corners against per match | 3.3 | 3.9 |
| xG per corner | 0.02 | 0.01 |
| xGA per corner against | 0.02 | 0.01 |
| First touch, offensive corners % | 0.53 | 0.4 |
| First touch, defensive corners % | 0.54 | 0.4 |
| Other | Viktoria Plzeň | Slovácko |
|---|---|---|
| Throw-in control | 0.75 | 0.61 |
| The goalkeepers | Florian Wiegele (Viktoria Plzeň) | Alexandr Urban (Slovácko) |
|---|---|---|
| Saves | 14 | 4 |
| Save % | 58% | 44% |
| xG prevented | 43% | 20% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Viktoria Plzeň a 71% win probability. Full 1X2 picture: Viktoria Plzeň 71%, draw 19%, Slovácko 10%.
The model's most likely final score is 2-0 at 13% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 45% 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.