Prediction Audit: BFA vs Babrungas Prediction, Odds & AI Betting Tips

Sep 04, 2026 - 17:00
2 1.35
1 1.25
xG Accuracy: 78%

AI correctly predicted the BFA 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 BFA BFA ✔ 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 Babrungas higher than the statistical model.

Largest probability gap: Babrungas -14.8 pp

Outcome Model Closing Market Difference Signal
BFA 37.5% 26.1% +11.5 pp Model Edge
Draw 29.6% 26.2% +3.4 pp Aligned
Babrungas 32.9% 47.7% -14.8 pp Market Higher

The closing market estimates Babrungas's win probability at 47.7%, compared with the model's estimate of 32.9%, a difference of 14.8 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 (BFA win 2–1).

Market Assessment

The market is materially more optimistic about Babrungas 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 BFA higher (52.3% vs model 37.5%, 14.8 pp), but the model's lean was validated (BFA win 2–1).

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Prediction Timeline

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

  1. Sep 04, 2026 · 17:01 UTC Forecast generated
    • Model 1X2 · BFA 37.6% · Draw 29.6% · Babrungas 32.9%
    • xG · BFA 1.35 — Babrungas 1.25
  2. Sep 04, 2026 · 16:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · BFA 3.40 · Draw 3.38 · Babrungas 1.86
    • Implied 1X2 · BFA 26.1% · Draw 26.2% · Babrungas 47.7%
    • Bookmaker · Pinnacle
  3. Sep 04, 2026 · 17:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · BFA 3.40 · Draw 3.38 · Babrungas 1.86
    • Implied 1X2 · BFA 26.1% · Draw 26.2% · Babrungas 47.7%
    • Bookmaker · Pinnacle
  4. Sep 04, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result BFA 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 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 8/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 02:25 UTC Snapshot ID: dp-6143516

Closing Odds 1.86
AI Fair Odds —
CLV Pending
Final Result BFA win · BFA 2–1 Babrungas
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: 1 Lyga
  • Fixture: BFA vs Babrungas
  • Kickoff: 2026-09-04 17:00:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): BFA 1.35 — Babrungas 1.25 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: 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 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

October 03, 2026 (UTC)

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Back to Predictions
1 Lyga 1 Lyga — Standings
# TEAM MP W D L PTS
1 Minija 24 21 1 2 64
2 Babrungas 25 19 4 2 61
3 Be1 NFA 24 16 2 6 50
4 Neptūną Klaipėda 25 14 2 9 44
5 Tauras 25 13 4 8 43
6 Žalgiris II 25 13 4 8 43
7 BFA 25 13 4 8 43
8 Dainava 24 11 7 6 40
9 Atmosfera 24 8 6 10 30
10 Jonava 25 7 6 12 27
11 Garliava 24 6 4 14 22
12 Kauno Žalgiris II 24 7 1 16 22
13 Hegelmann II 25 7 1 17 22
14 Transinvest 2 25 6 3 16 21
15 FA Šiauliai II 25 4 5 16 17
16 Ekranas 25 4 2 19 14
# TEAM MP GS GC +/- PTS
1 Minija 24 63 13 +50 64
2 Babrungas 25 43 11 +32 61
3 Be1 NFA 24 43 25 +18 50
4 Tauras 25 43 31 +12 43
5 BFA 25 39 35 +4 43
6 Žalgiris II 25 38 32 +6 43
7 Atmosfera 24 37 33 +4 30
8 Dainava 24 34 23 +11 40
9 Neptūną Klaipėda 25 33 30 +3 44
10 Hegelmann II 25 30 56 -26 22
11 Transinvest 2 25 29 58 -29 21
12 Jonava 25 28 33 -5 27
13 Garliava 24 27 30 -3 22
14 FA Šiauliai II 25 27 56 -29 17
15 Ekranas 25 25 58 -33 14
16 Kauno Žalgiris II 24 23 38 -15 22