Expected goals
FC Silon Táborsko expected goals (xG) 2025/2026
Czech First League · after 0 matches · updated 1 Oct
FC Silon Táborsko's attacking and defensive expected goals in Czech First League 2025/2026, compared with the results they produced and with the rest of the competition.
The trend appears after 3 matches with xG.
Strength of schedule
- Season so far
- −0.01 xG vs league average
- Over 2 league matches
- Not ranked: a club needs 26 matches against rated opponents, and FC Silon Táborsko have 2.
- Last 2
- −0.01 xG vs league average
- Over 2 league matches
- Not ranked: only 2 league matches played, and Last 5 ranks full runs of 5.
Opponents behind the figures
Season so far
−0.01 xG vs league average · over 2 matches
- Baník Ostrava Home −0.01
- Baník Ostrava Away −0.01
Last 2
−0.01 xG vs league average · over 2 matches
- Baník Ostrava Home −0.01
- Baník Ostrava Away −0.01
FC Silon Táborsko home and away xG
| Measure | Home no matches with xG | Away no matches with xG |
|---|---|---|
| Matches | 1 0 with xG | 1 0 with xG |
| xG / match | — | — |
| xGA / match | — | — |
| xGD / match | — | — |
| xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → | — | — |
Every figure divides by that half's matches with xG. A half with fewer than 3 matches with xG is muted.
Every FC Silon Táborsko match by xG
This season
- Matches
- 2 0 with xG
- xG / match
- —
- xGA / match
- —
- xGD / match
- —
- Points
- 0 of 6
Newest first. The dot is xG and the ring is xGA, on one scale from 0 to 3.00. Best and weakest underlying mark the highest and lowest xGD once 5 matches have xG. Against the chances marks a win with xGD of −1.00 or lower, or a loss with +1.00 or higher. P marks a side with at least 0.50 xG from penalties.
FC Silon Táborsko in Czech First League
Overall
About the data
- xG data
- Provided by TheStatsAPI, and stored as published.
- Derived metrics
- xGD, per-match rates, rankings and rolling averages are calculated from the match data.
- Model metrics
- xPts is produced by our probability model.