Statistics / Football / Czech-Republic. Czech Liga / Sigma Olomouc vs Sparta Praha

Sigma Olomouc vs Sparta Praha Statistics & Analysis

Sigma Olomouc Sigma Olomouc
Sep 20, 2026 - 13:00
0 1.38
3 1.35
xG Accuracy: 44%
Sparta Praha Sparta Praha
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Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Sparta Praha Sparta Praha ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 01:30 UTC Snapshot ID: dp-8670359

Closing Odds 2.06
AI Fair Odds —
CLV +0.0%
Final Result Sparta Praha win · Sigma Olomouc 0–3 Sparta Praha
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Sigma Olomouc (1X2), Draw (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 5.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Sigma Olomouc (1X2) 34.2 29.5 +4.7
Draw (1X2) 27.8 24.2 +3.6
Sparta Praha (1X2) 38.0 46.3 -8.3
Over 2.5 goals 51.4 57.3 -5.9
Under 2.5 goals 48.6 42.7 +5.9
What this means

In plain terms: the model lands near 48.6% on Under 2.5 goals, while the closing snapshot implied about 42.7%. The difference — about 5.9 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Sigma Olomouc (1X2) 3.23 3.23 0.0
Draw (1X2) 3.94 3.94 0.0
Sparta Praha (1X2) 2.06 2.06 0.0
Over 2.5 goals 1.67 1.67 0.0
Under 2.5 goals 2.24 2.24 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Czech Liga
  • Fixture: Sigma Olomouc vs Sparta Praha
  • Kickoff: 2026-09-20 13:00:00
  • 1X2 (model): Home 34.2% · Draw 27.8% · Away 38.0%
  • xG (showing): Sigma Olomouc 1.38 — Sparta Praha 1.35 (total xG ≈ 2.73)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 48.6% · Implied: 42.7% · Probability edge: +5.9 pts · Est. EV: +9.3%
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Use the cards for tiering; this text only restates the same inputs in narrative form.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 30, 2026 (UTC)

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Back to Statistics
Czech Liga Czech Liga — Standings
# TEAM MP W D L PTS
1 Slavia Praha 9 7 2 0 23
2 Slovan Liberec 9 6 2 1 20
3 Mlada Boleslav 8 5 2 1 17
4 Sigma Olomouc 9 5 1 3 16
5 Teplice 9 5 1 3 16
6 Zbrojovka Brno 9 5 1 3 16
7 Sparta Praha 9 5 0 4 15
8 FK Jablonec 9 4 2 3 14
9 Hradec Králové 9 4 2 3 14
10 Plzen 9 2 4 3 10
11 Baník Ostrava 9 3 1 5 10
12 Bohemians 1905 8 2 3 3 9
13 Pardubice 9 2 2 5 8
14 Líšeň 9 1 2 6 5
15 Slovácko 9 0 4 5 4
16 Zlin 9 0 1 8 1
# TEAM MP GS GC +/- PTS
1 Slavia Praha 9 25 6 +19 23
2 Sparta Praha 9 18 12 +6 15
3 Mlada Boleslav 8 17 9 +8 17
4 Teplice 9 17 15 +2 16
5 Plzen 9 17 17 0 10
6 Sigma Olomouc 9 16 13 +3 16
7 Slovan Liberec 9 13 4 +9 20
8 Zbrojovka Brno 9 12 12 0 16
9 FK Jablonec 9 11 9 +2 14
10 Bohemians 1905 8 9 11 -2 9
11 Pardubice 9 9 14 -5 8
12 Hradec Králové 9 8 9 -1 14
13 Zlin 9 8 19 -11 1
14 Slovácko 9 7 16 -9 4
15 Baník Ostrava 9 7 17 -10 10
16 Líšeň 9 7 18 -11 5
# TEAM MP xG xGC +/- PTS
1 Slavia Praha 9 15.5 7.2 +8.3 23
2 Slovan Liberec 9 11.4 7.2 +4.2 20
3 FK Jablonec 9 11.1 7.7 +3.4 14
4 Sparta Praha 9 13.3 10.4 +2.9 15
5 Hradec Králové 9 6.8 5.2 +1.6 14
6 Pardubice 9 8.9 8.2 +0.7 8
7 Plzen 9 8.9 8.4 +0.5 10
8 Zbrojovka Brno 9 7.6 7.3 +0.3 16
9 Sigma Olomouc 9 8.4 8.3 +0.1 16
10 Teplice 9 8.6 9.0 -0.4 16
11 Bohemians 1905 8 6.8 8.9 -2.1 9
12 Mlada Boleslav 8 10.8 13.2 -2.4 17
13 Líšeň 9 7.7 10.1 -2.4 5
14 Baník Ostrava 9 11.0 14.7 -3.7 10
15 Slovácko 9 7.5 12.4 -4.9 4
16 Zlin 9 6.1 11.9 -5.8 1