Prediction Audit: Sparta Praha vs Lyon Prediction, Odds & AI Betting Tips

Aug 04, 2026 - 18:00
2 1.31
1 1.29
xG Accuracy: 76%

AI correctly predicted the Sparta Praha win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 Yes Yes ✔ Correct
  • 1X2 Sparta Praha Sparta Praha ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Lyon higher than the statistical model.

Largest probability gap: Lyon -10.7 pp

Outcome Model Closing Market Difference Signal
Sparta Praha 35.6% 28.3% +7.4 pp Model Higher
Draw 29.6% 26.4% +3.3 pp Aligned
Lyon 34.7% 45.4% -10.7 pp Market Higher

The closing market estimates Lyon's win probability at 45.4%, compared with the model's estimate of 34.7%, a difference of 10.7 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the model's directional lean matched the result (Sparta Praha win 2–1).

Market Assessment

The market is materially more optimistic about Lyon than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Sparta Praha higher (46.2% vs model 35.6%, 10.7 pp), but the model's lean was validated (Sparta Praha win 2–1).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Aug 04, 2026 · 18:00 UTC Forecast generated
    • Model 1X2 · Sparta Praha 35.6% · Draw 29.7% · Lyon 34.7%
    • xG · Sparta Praha 1.31 — Lyon 1.29
  2. Aug 04, 2026 · 17:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sparta Praha 3.32 · Draw 3.56 · Lyon 2.07
    • Implied 1X2 · Sparta Praha 28.3% · Draw 26.4% · Lyon 45.4%
    • Bookmaker · Pinnacle
  3. Aug 04, 2026 · 18:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sparta Praha 3.32 · Draw 3.56 · Lyon 2.07
    • Implied 1X2 · Sparta Praha 28.3% · Draw 26.4% · Lyon 45.4%
    • Bookmaker · Pinnacle
  4. Aug 04, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Sparta Praha win · 2–1
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 58/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 16/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 29, 2026 · 16:18 UTC Snapshot ID: dp-2404399

Closing Odds 2.07
AI Fair Odds —
CLV Pending
Final Result Sparta Praha win · Sparta Praha 2–1 Lyon
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: UEFA Champions League
  • Fixture: Sparta Praha vs Lyon
  • Kickoff: 2026-08-04 18:00:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Sparta Praha 1.31 — Lyon 1.29 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.4%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Monitor

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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UEFA Champions League UEFA Champions League — Standings
# TEAM MP W D L PTS
1 Paris Saint Germain 1 1 0 0 3
2 Bayern München 1 1 0 0 3
3 Barcelona 1 1 0 0 3
4 Manchester United 1 1 0 0 3
5 Como 1 1 0 0 3
6 VfB Stuttgart 1 1 0 0 3
7 Sporting CP 1 1 0 0 3
8 Manchester City 1 1 0 0 3
9 Aston Villa 1 1 0 0 3
10 Lens 1 1 0 0 3
11 Real Betis 1 1 0 0 3
12 Borussia Dortmund 1 1 0 0 3
13 Liverpool 1 1 0 0 3
14 Real Madrid 1 1 0 0 3
15 Arsenal 1 1 0 0 3
16 AEK Athens FC 1 1 0 0 3
17 AS Roma 1 0 1 0 1
18 Shakhtar Donetsk 1 0 1 0 1
19 PSV Eindhoven 1 0 1 0 1
20 Fenerbahce 1 0 1 0 1
21 Villarreal 1 0 0 1 0
22 Lille 1 0 0 1 0
23 Slavia Praha 1 0 0 1 0
24 Club Brugge KV 1 0 0 1 0
25 Inter 1 0 0 1 0
26 Atletico Madrid 1 0 0 1 0
27 Napoli 1 0 0 1 0
28 Lask Linz 1 0 0 1 0
29 Viking 1 0 0 1 0
30 Galatasaray 1 0 0 1 0
31 FC Porto 1 0 0 1 0
32 RB Leipzig 1 0 0 1 0
33 Feyenoord 1 0 0 1 0
34 Sabah FA 1 0 0 1 0
35 Slovan Bratislava 1 0 0 1 0
36 Bodo/Glimt 1 0 0 1 0
# TEAM MP GS GC +/- PTS
1 Paris Saint Germain 1 6 1 +5 3
2 Bayern München 1 5 0 +5 3
3 Barcelona 1 5 1 +4 3
4 Manchester United 1 4 0 +4 3
5 Como 1 4 1 +3 3
6 VfB Stuttgart 1 3 1 +2 3
7 Sporting CP 1 3 1 +2 3
8 Aston Villa 1 3 2 +1 3
9 Lens 1 3 2 +1 3
10 Real Betis 1 3 2 +1 3
11 Borussia Dortmund 1 3 2 +1 3
12 Manchester City 1 2 0 +2 3
13 Liverpool 1 2 1 +1 3
14 Real Madrid 1 2 1 +1 3
15 Villarreal 1 2 3 -1 0
16 Lille 1 2 3 -1 0
17 Slavia Praha 1 2 3 -1 0
18 Club Brugge KV 1 2 3 -1 0
19 Arsenal 1 1 0 +1 3
20 AEK Athens FC 1 1 0 +1 3
21 AS Roma 1 1 1 0 1
22 Shakhtar Donetsk 1 1 1 0 1
23 PSV Eindhoven 1 1 1 0 1
24 Fenerbahce 1 1 1 0 1
25 Inter 1 1 2 -1 0
26 Atletico Madrid 1 1 2 -1 0
27 Viking 1 1 3 -2 0
28 Galatasaray 1 1 3 -2 0
29 RB Leipzig 1 1 4 -3 0
30 Feyenoord 1 1 5 -4 0
31 Slovan Bratislava 1 1 6 -5 0
32 Napoli 1 0 1 -1 0
33 Lask Linz 1 0 1 -1 0
34 FC Porto 1 0 2 -2 0
35 Sabah FA 1 0 4 -4 0
36 Bodo/Glimt 1 0 5 -5 0
# TEAM MP xG xGC +/- PTS
1 Manchester City 1 2.3 0.3 +2.0 3
2 Aston Villa 1 3.2 1.5 +1.7 3
3 Borussia Dortmund 1 2.8 1.3 +1.5 3
4 Real Madrid 1 2.9 1.8 +1.1 3
5 Real Betis 1 1.8 0.8 +1.0 3
6 AEK Athens FC 1 1.7 0.7 +1.0 3
7 Liverpool 1 1.6 0.9 +0.7 3
8 Sporting CP 1 1.8 1.2 +0.6 3
9 Galatasaray 1 1.2 1.8 -0.6 0
10 Atletico Madrid 1 0.9 1.6 -0.7 0
11 Lille 1 0.8 1.8 -1.0 0
12 Lask Linz 1 0.7 1.7 -1.0 0
13 Inter 1 1.8 2.9 -1.1 0
14 Villarreal 1 1.3 2.8 -1.5 0
15 Club Brugge KV 1 1.5 3.2 -1.7 0
16 FC Porto 1 0.3 2.3 -2.0 0
17 Paris Saint Germain 1 — — — 3
18 Bayern München 1 — — — 3
19 Barcelona 1 — — — 3
20 Manchester United 1 — — — 3
21 Como 1 — — — 3
22 VfB Stuttgart 1 — — — 3
23 Lens 1 — — — 3
24 Arsenal 1 — — — 3
25 AS Roma 1 — — — 1
26 Shakhtar Donetsk 1 — — — 1
27 PSV Eindhoven 1 — — — 1
28 Fenerbahce 1 — — — 1
29 Slavia Praha 1 — — — 0
30 Napoli 1 — — — 0
31 Viking 1 — — — 0
32 RB Leipzig 1 — — — 0
33 Feyenoord 1 — — — 0
34 Sabah FA 1 — — — 0
35 Slovan Bratislava 1 — — — 0
36 Bodo/Glimt 1 — — — 0