Prediction Audit: Motorlet Praha vs Písek Prediction, Odds & AI Betting Tips

May 09, 2026 - 08:15
1 1.45
1 1.25
xG Accuracy: 82%

The model missed the final outcome (Draw 1–1).

The model had projected Motorlet Praha at 41.8%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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

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

Model vs Closing Market

Moderate Disagreement

The model rates Písek considerably stronger than the closing betting market.

Largest probability gap: Písek +5.1 pp

Outcome Model Closing Market Difference Signal
Motorlet Praha 41.8% 44.6% -2.8 pp Aligned
Draw 25.7% 27.9% -2.3 pp Aligned
Písek 32.6% 27.5% +5.1 pp Model Higher

The statistical model estimates Písek's win probability at 32.6%, compared with the closing market's implied probability of 27.5%, a difference of 5.1 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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: PRE5.

After full time, the result was Draw 1–1.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Písek.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 1X2: model leaned Motorlet Praha; match finished Draw

Market lesson

The closing market differed from the model on Motorlet Praha by 5.1 percentage points (36.7% vs model 41.8%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. May 09, 2026 · 14:58 UTC Forecast generated
    • Model 1X2 · Motorlet Praha 41.8% · Draw 25.7% · Písek 32.6%
    • xG · Motorlet Praha 1.45 — Písek 1.25
  2. May 09, 2026 · 14:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Motorlet Praha 2.03 · Draw 3.24 · Písek 3.29
    • Implied 1X2 · Motorlet Praha 44.6% · Draw 27.9% · Písek 27.5%
    • Bookmaker · Pinnacle
  3. May 09, 2026 · 14:58 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Motorlet Praha 2.03 · Draw 3.24 · Písek 3.29
    • Implied 1X2 · Motorlet Praha 44.6% · Draw 27.9% · Písek 27.5%
    • Bookmaker · Pinnacle
  4. May 09, 2026 · 08:15 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

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

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 74/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 08, 2026 · 09:36 UTC Snapshot ID: dp-7619447

Closing Odds 3.29
AI Fair Odds —
CLV Pending
Final Result Draw · Motorlet Praha 1–1 Písek
Prediction ✖ Missed
Decision Grade F

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: 3. liga - CFL A
  • Fixture: Motorlet Praha vs Písek
  • Kickoff: 2026-05-09 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Motorlet Praha 1.45 — Písek 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 52.1% · Implied: 44.9% · Probability edge: +7.2 pts · Est. EV: +8.4%
  • BTTS (model): Yes 47.9% · No 52.1%
  • Correct score (top bin): 1-1 (12.2%)

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

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match 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

October 04, 2026 (UTC)

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3. liga - CFL A 3. liga - CFL A — Standings
# TEAM MP W D L PTS
1 Kladno 32 22 6 4 72
2 Jiskra Domažlice 32 22 3 7 69
3 Viktoria Plzeň II 32 18 7 7 61
4 Písek 32 15 7 10 52
5 Králův Dvůr 32 15 4 13 49
6 Admira Praha 32 14 6 12 48
7 Slavia III 32 13 7 12 46
8 České Budějovice II 32 11 12 9 45
9 Aritma Praha 32 11 12 9 45
10 Loko Vltavín 32 13 5 14 44
11 Příbram II 32 12 4 16 40
12 Bohemians 1905 II 32 10 8 14 38
13 Dukla Praha II 32 11 5 16 38
14 Motorlet Praha 32 8 10 14 34
15 Sokol Hostouň 32 8 10 14 34
16 Petřín Plzeň 32 8 4 20 28
17 Táborsko II 32 4 4 24 16
# TEAM MP GS GC +/- PTS
1 Kladno 32 84 26 +58 72
2 Jiskra Domažlice 32 80 42 +38 69
3 Viktoria Plzeň II 32 75 53 +22 61
4 České Budějovice II 32 63 58 +5 45
5 Králův Dvůr 32 59 56 +3 49
6 Bohemians 1905 II 32 57 60 -3 38
7 Slavia III 32 54 47 +7 46
8 Písek 32 50 38 +12 52
9 Dukla Praha II 32 48 57 -9 38
10 Admira Praha 32 47 51 -4 48
11 Aritma Praha 32 45 45 0 45
12 Příbram II 32 45 56 -11 40
13 Petřín Plzeň 32 38 73 -35 28
14 Loko Vltavín 32 35 43 -8 44
15 Motorlet Praha 32 32 45 -13 34
16 Sokol Hostouň 32 30 44 -14 34
17 Táborsko II 32 27 75 -48 16