01 · 2 legs
Safe
- Slavia Praha to win58%
- Over 1.5 goals84%
Czech First League16°3,7 mm8 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
Slavia Praha's streak of scoring in 14 consecutive league matches sets the stage for their encounter with Teplice. The visitors' unbeaten run in their last eight league games further underscores their dominant form. The model gives Slavia a 58% chance to win, highlighting their edge in this matchup. With expected goals favoring them 2.16 to Teplice's 1.09, the numbers suggest a likely victory for the visitors.
A 1-2 scoreline emerges as the most probable outcome at 10%, closely followed by 1-1 and 0-2, both at 9%. Despite Teplice's modest counter-attacking profile, the possession-oriented style of Slavia is expected to control the game. Given the expected rain of 10.3 mm, the weather's impact on goal-scoring is already considered in the model, which still leans heavily towards a high-scoring affair.
Although the head-to-head record since 2023 is a small sample size of four games, Slavia's edge in xG (2.5 to 1.4) and xGA (1.0 to 1.4) strengthens their case. The standout angle, however, lies in betting value: over 3.5 goals at odds of 2.72 with Betsafe, Betsson, and Nordicbet presents an 11% edge per the model. Such a bet aligns with the 63% probability of the match seeing over 2.5 goals.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Teplice | X | 2 · Slavia Praha |
|---|---|---|---|
| Betsafe | 5.30 | 3.80 | 1.55 |
| Betsson | 5.30 | 3.80 | 1.55 |
| Nordicbet | 5.30 | 3.80 | 1.55 |
Odds updated 10 Sept, 09:37
Market signal
The market has moved clearly towards a Teplice win since 6 September — the odds have shortened from 5.90 to 5.30 (−10%).
5.90 → 5.30
3.80 → 3.80
1.50 → 1.55
1.72 → 1.70
Betsson · 6 recorded price levels · 06/09/2026 → 10/09/2026 · 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 | Teplice | Slavia Praha |
|---|---|---|
| Points | 13 | 17 |
| xPoints | 10.3 | 13.5 |
| xG per match | 1.4 | 2.5 |
| xGA per match | 1.4 | 1 |
| xG within 8s of winning the ball | 0.34 | 0.58 |
| xGA within 8s of losing the ball | 0.09 | 0.2 |
| Playing style | Teplice | Slavia Praha |
|---|---|---|
| Build-up efficiency | 0.32 | 0.34 |
| Field tilt | 0.55 | 0.58 |
| xT per match | 1.1 | 1.2 |
| xTA per match | 1 | 0.82 |
| Won balls, offensive half | 18 | 27 |
| Pressing intensity | 0.23 | 0.22 |
| Pressing efficiency | 0.27 | 0.36 |
| Pressing efficiency, offensive half | 0.23 | 0.34 |
| Entries into the box per match | 12 | 16 |
| Entries into the box against | 11 | 9 |
| Pass completion % | 0.75 | 0.71 |
| Pass completion % under pressure | 0.72 | 0.69 |
| Passes per match | 312 | 287 |
| Passes against per match | 335 | 238 |
| Switches of play per match | 22.1 | 25.1 |
| Long balls per match | 29 | 36 |
| Set pieces | Teplice | Slavia Praha |
|---|---|---|
| xG from free kicks | 0.03 | 0.01 |
| Corners per match | 6.5 | 5.2 |
| Corners against per match | 4 | 5 |
| xG per corner | 0.02 | 0.05 |
| xGA per corner against | 0.03 | 0.02 |
| First touch, offensive corners % | 0.33 | 0.35 |
| First touch, defensive corners % | 0.79 | 0.6 |
| Other | Teplice | Slavia Praha |
|---|---|---|
| Throw-in control | 0.69 | 0.71 |
| The goalkeepers | Matous Trmal (Teplice) | Jakub Markovič (Slavia Praha) |
|---|---|---|
| Saves | 21 | 12 |
| Save % | 62% | 71% |
| xG prevented | 42% | 44% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Slavia Praha a 58% win probability. Full 1X2 picture: Teplice 18%, draw 24%, Slavia Praha 58%.
The model's most likely final score is 1-2 at 10% probability.
The model rates over 2.5 goals at 63% and under at 37%.
The probability of both teams scoring is 59% 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.