Prediction Audit: Larne vs Saburtalo Prediction, Odds & AI Betting Tips

Aug 04, 2026 - 19:00
0 1.32
0 1.28
xG Accuracy: 49%

The model missed the final outcome (Draw 0–0).

The model had projected Larne at 36.1%, 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 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Larne Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

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

Largest probability gap: Larne +7.6 pp

Outcome Model Closing Market Difference Signal
Larne 36.1% 28.6% +7.6 pp Model Higher
Draw 29.6% 29.8% -0.2 pp Aligned
Saburtalo 34.2% 41.6% -7.4 pp Market Higher

The statistical model estimates Larne's win probability at 36.1%, compared with the closing market's implied probability of 28.6%, a difference of 7.6 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: PRE1.

After full time, the result was Draw 0–0.

Market Assessment

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

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

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 Larne; match finished Draw

Market lesson

The closing market differed from the model on Larne by 7.6 percentage points (28.5% vs model 36.1%) — 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 04, 2026 · 18:59 UTC Forecast generated
    • Model 1X2 · Larne 36.1% · Draw 29.7% · Saburtalo 34.2%
    • xG · Larne 1.32 — Saburtalo 1.28
  2. Aug 04, 2026 · 18:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Larne 3.25 · Draw 3.11 · Saburtalo 2.23
    • Implied 1X2 · Larne 28.6% · Draw 29.8% · Saburtalo 41.6%
    • Bookmaker · Pinnacle
  3. Aug 04, 2026 · 18:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Larne 3.25 · Draw 3.11 · Saburtalo 2.23
    • Implied 1X2 · Larne 28.6% · Draw 29.8% · Saburtalo 41.6%
    • Bookmaker · Pinnacle
  4. Aug 04, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 21/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 02:09 UTC Snapshot ID: dp-2558156

Closing Odds 3.25
AI Fair Odds —
CLV Pending
Final Result Draw · Larne 0–0 Saburtalo
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

Quick read on how the model reads this matchup.

  • League: UEFA Europa League
  • Fixture: Larne vs Saburtalo
  • Kickoff: 2026-08-04 19:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Larne 1.32 — Saburtalo 1.28 (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%)

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: 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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UEFA Europa League UEFA Europa League — Standings
# TEAM MP W D L PTS
1 Juventus 1 1 0 0 3
2 Crystal Palace 1 1 0 0 3
3 Sparta Praha 1 1 0 0 3
4 Besiktas 1 1 0 0 3
5 Union St. Gilloise 1 1 0 0 3
6 Ferencvarosi TC 1 1 0 0 3
7 Benfica 1 1 0 0 3
8 Bayer Leverkusen 1 1 0 0 3
9 OFI 1 1 0 0 3
10 Bournemouth 1 1 0 0 3
11 Lyon 1 1 0 0 3
12 Torreense 1 1 0 0 3
13 Olympiakos Piraeus 1 1 0 0 3
14 Red Bull Salzburg 1 1 0 0 3
15 Sunderland 1 1 0 0 3
16 Omonia Nicosia 1 1 0 0 3
17 Sturm Graz 1 0 1 0 1
18 Rennes 1 0 1 0 1
19 Dinamo Zagreb 1 0 1 0 1
20 Hapoel Beer Sheva 1 0 1 0 1
21 Jagiellonia 1 0 0 1 0
22 Real Sociedad 1 0 0 1 0
23 Anderlecht 1 0 0 1 0
24 Lillestrom 1 0 0 1 0
25 Celta Vigo 1 0 0 1 0
26 AZ Alkmaar 1 0 0 1 0
27 Levski Sofia 1 0 0 1 0
28 Celtic 1 0 0 1 0
29 1899 Hoffenheim 1 0 0 1 0
30 AC Milan 1 0 0 1 0
31 Celje 1 0 0 1 0
32 Marseille 1 0 0 1 0
33 Ararat-Armenia 1 0 0 1 0
34 Plzen 1 0 0 1 0
35 Lech Poznan 1 0 0 1 0
36 NEC Nijmegen 1 0 0 1 0
# TEAM MP GS GC +/- PTS
1 Juventus 1 5 0 +5 3
2 Crystal Palace 1 4 0 +4 3
3 Sparta Praha 1 4 1 +3 3
4 Besiktas 1 4 1 +3 3
5 Union St. Gilloise 1 3 0 +3 3
6 Ferencvarosi TC 1 3 1 +2 3
7 Benfica 1 2 0 +2 3
8 Bayer Leverkusen 1 2 0 +2 3
9 OFI 1 2 0 +2 3
10 Bournemouth 1 2 1 +1 3
11 Lyon 1 2 1 +1 3
12 Torreense 1 2 1 +1 3
13 Olympiakos Piraeus 1 2 1 +1 3
14 Red Bull Salzburg 1 1 0 +1 3
15 Sunderland 1 1 0 +1 3
16 Omonia Nicosia 1 1 0 +1 3
17 Jagiellonia 1 1 2 -1 0
18 Real Sociedad 1 1 2 -1 0
19 Anderlecht 1 1 2 -1 0
20 Lillestrom 1 1 2 -1 0
21 Celtic 1 1 3 -2 0
22 Marseille 1 1 4 -3 0
23 Ararat-Armenia 1 1 4 -3 0
24 Sturm Graz 1 0 0 0 1
25 Rennes 1 0 0 0 1
26 Dinamo Zagreb 1 0 0 0 1
27 Hapoel Beer Sheva 1 0 0 0 1
28 Celta Vigo 1 0 1 -1 0
29 AZ Alkmaar 1 0 1 -1 0
30 Levski Sofia 1 0 1 -1 0
31 1899 Hoffenheim 1 0 2 -2 0
32 AC Milan 1 0 2 -2 0
33 Celje 1 0 2 -2 0
34 Plzen 1 0 3 -3 0
35 Lech Poznan 1 0 4 -4 0
36 NEC Nijmegen 1 0 5 -5 0
# TEAM MP xG xGC +/- PTS
1 Olympiakos Piraeus 1 2.5 0.5 +2.0 3
2 Sunderland 1 2.9 1.5 +1.4 3
3 Bayer Leverkusen 1 1.9 0.9 +1.0 3
4 Rennes 1 1.8 0.8 +1.0 1
5 Celta Vigo 1 1.2 0.3 +0.9 0
6 Sparta Praha 1 2.5 1.9 +0.6 3
7 Hapoel Beer Sheva 1 0.8 0.3 +0.5 1
8 AC Milan 1 1.0 0.6 +0.4 0
9 Anderlecht 1 1.4 1.3 +0.1 0
10 Lyon 1 1.3 1.4 -0.1 3
11 Benfica 1 0.6 1.0 -0.4 3
12 Dinamo Zagreb 1 0.3 0.8 -0.5 1
13 Ararat-Armenia 1 1.9 2.5 -0.6 0
14 Omonia Nicosia 1 0.3 1.2 -0.9 3
15 Celje 1 0.9 1.9 -1.0 0
16 Sturm Graz 1 0.8 1.8 -1.0 1
17 AZ Alkmaar 1 1.5 2.9 -1.4 0
18 Jagiellonia 1 0.5 2.5 -2.0 0
19 Juventus 1 — — — 3
20 Crystal Palace 1 — — — 3
21 Besiktas 1 — — — 3
22 Union St. Gilloise 1 — — — 3
23 Ferencvarosi TC 1 — — — 3
24 OFI 1 — — — 3
25 Bournemouth 1 — — — 3
26 Torreense 1 — — — 3
27 Red Bull Salzburg 1 — — — 3
28 Real Sociedad 1 — — — 0
29 Lillestrom 1 — — — 0
30 Levski Sofia 1 — — — 0
31 Celtic 1 — — — 0
32 1899 Hoffenheim 1 — — — 0
33 Marseille 1 — — — 0
34 Plzen 1 — — — 0
35 Lech Poznan 1 — — — 0
36 NEC Nijmegen 1 — — — 0