Predictions / Football / World. UEFA Champions League / Larne vs FK Crvena Zvezda

Prediction Audit: Larne vs FK Crvena Zvezda Prediction, Odds & AI Betting Tips

Jul 21, 2026 - 19:00
0 1.19
4 1.41
xG Accuracy: 35%

AI correctly predicted the FK Crvena Zvezda win.

The match finished 0–4, validating the model's directional assessment.

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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Crvena zvezda FK Crvena Zvezda ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 0-0 0-4 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices FK Crvena Zvezda higher than the statistical model.

Largest probability gap: FK Crvena Zvezda -44.1 pp

Outcome Model Closing Market Difference Signal
Larne 30.1% 5.2% +25.0 pp Model Edge
Draw 29.4% 10.3% +19.1 pp Model Edge
FK Crvena Zvezda 40.4% 84.5% -44.1 pp Market Higher

The closing market estimates FK Crvena Zvezda's win probability at 84.5%, compared with the model's estimate of 40.4%, a difference of 44.1 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 (FK Crvena Zvezda win 0–4).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced FK Crvena Zvezda higher (84.5% vs model 40.4%, 44.1 pp), but the model's lean was validated (FK Crvena Zvezda win 0–4).

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Prediction Timeline

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

  1. Jul 21, 2026 · 18:59 UTC Forecast generated
    • Model 1X2 · Larne 30.1% · Draw 29.4% · FK Crvena Zvezda 40.5%
    • xG · Larne 1.19 — FK Crvena Zvezda 1.41
  2. Jul 21, 2026 · 18:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Larne 17.69 · Draw 8.86 · FK Crvena Zvezda 1.08
    • Implied 1X2 · Larne 5.2% · Draw 10.3% · FK Crvena Zvezda 84.5%
    • Bookmaker · Pinnacle
  3. Jul 21, 2026 · 18:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Larne 17.69 · Draw 8.86 · FK Crvena Zvezda 1.08
    • Implied 1X2 · Larne 5.2% · Draw 10.3% · FK Crvena Zvezda 84.5%
    • Bookmaker · Pinnacle
  4. Jul 21, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result FK Crvena Zvezda win · 0–4
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 27/100 · Low
  • Validation: Fail
  • Large market gap (44 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 7/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 22:14 UTC Snapshot ID: dp-1770337

Closing Odds 1.08
AI Fair Odds —
CLV Pending
Final Result FK Crvena Zvezda win · Larne 0–4 FK Crvena Zvezda
Prediction ✔ Correct
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

Model favours FK Crvena Zvezda; market prices FK Crvena Zvezda instead — inputs may be missing or stale.

  • Model: Larne 1.19 xG vs FK Crvena Zvezda 1.41 → FK Crvena Zvezda 40.4%
  • Market: FK Crvena Zvezda ~84.5% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.2% · No 45.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

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