Predictions / Football / Lithuania. 1 Lyga / BFA vs Neptūną Klaipėda

Prediction Audit: BFA vs Neptūną Klaipėda Prediction, Odds & AI Betting Tips

Aug 22, 2026 - 12:00
2 1.21
0 1.39
xG Accuracy: 55%

The model missed the final outcome (BFA win 2–0).

The model had projected Neptūną Klaipėda at 39.5%, 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 Yes No ✖ Incorrect
  • 1X2 Neptūną Klaipėda BFA ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices BFA higher than the statistical model.

Largest probability gap: BFA -11.7 pp

Outcome Model Closing Market Difference Signal
BFA 31.0% 42.8% -11.7 pp Market Higher
Draw 29.5% 26.5% +3.0 pp Aligned
Neptūną Klaipėda 39.5% 30.8% +8.7 pp Model Higher

The closing market estimates BFA's win probability at 42.8%, compared with the model's estimate of 31.0%, a difference of 11.7 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 result was BFA win 2–0.

Market Assessment

The market is materially more optimistic about BFA 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

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Neptūną Klaipėda; match finished BFA

Market lesson

The closing market differed from the model on Neptūną Klaipėda by 11.7 percentage points (51.2% vs model 39.5%) — 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. Aug 22, 2026 · 12:03 UTC Forecast generated
    • Model 1X2 · BFA 31.0% · Draw 29.5% · Neptūną Klaipėda 39.5%
    • xG · BFA 1.21 — Neptūną Klaipėda 1.39
  2. Aug 22, 2026 · 11:36 UTC Opening odds snapshot PRE30
    • 1X2 odds · BFA 2.08 · Draw 3.36 · Neptūną Klaipėda 2.89
    • Implied 1X2 · BFA 42.8% · Draw 26.5% · Neptūną Klaipėda 30.8%
    • Bookmaker · Pinnacle
  3. Aug 22, 2026 · 12:03 UTC Closing snapshot recorded PRE1
    • 1X2 odds · BFA 2.08 · Draw 3.36 · Neptūną Klaipėda 2.89
    • Implied 1X2 · BFA 42.8% · Draw 26.5% · Neptūną Klaipėda 30.8%
    • Bookmaker · Pinnacle
  4. Aug 22, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result BFA win · 2–0
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 14/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 16, 2026 · 01:26 UTC Snapshot ID: dp-4217862

Closing Odds 2.08
AI Fair Odds —
CLV Pending
Final Result BFA win · BFA 2–0 Neptūną Klaipėda
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: 1 Lyga
  • Fixture: BFA vs Neptūną Klaipėda
  • Kickoff: 2026-08-22 12:00:00
  • 1X2 (model): Home 31.0% · Draw 29.5% · Away 39.5%
  • xG (showing): BFA 1.21 — Neptūną Klaipėda 1.39 (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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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: 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

September 30, 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