Predictions / Football / World. UEFA Champions League / Saburtalo vs Flora Tallinn

Prediction Audit: Saburtalo vs Flora Tallinn Prediction, Odds & AI Betting Tips

Jul 14, 2026 - 16:00
2 1.34
2 1.26
xG Accuracy: 68%

The model missed the final outcome (Draw 2–2).

The model had projected Saburtalo at 37.1%, 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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Saburtalo Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Saburtalo higher than the statistical model.

Largest probability gap: Saburtalo -23.9 pp

Outcome Model Closing Market Difference Signal
Saburtalo 37.1% 61.0% -23.9 pp Market Higher
Draw 29.6% 19.8% +9.8 pp Model Higher
Flora Tallinn 33.3% 19.2% +14.1 pp Model Edge

The closing market estimates Saburtalo's win probability at 61.0%, compared with the model's estimate of 37.1%, a difference of 23.9 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 Draw 2–2.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • 1X2: model leaned Saburtalo; match finished Draw

Market lesson

The closing market differed from the model on Saburtalo by 23.9 percentage points (61.0% vs model 37.1%) — 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. Jul 14, 2026 · 19:32 UTC Forecast generated
    • Model 1X2 · Saburtalo 37.0% · Draw 29.6% · Flora Tallinn 33.4%
    • xG · Saburtalo 1.34 — Flora Tallinn 1.26
  2. Jul 14, 2026 · 15:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Saburtalo 1.52 · Draw 4.68 · Flora Tallinn 4.82
    • Implied 1X2 · Saburtalo 61.0% · Draw 19.8% · Flora Tallinn 19.2%
    • Bookmaker · Pinnacle
  3. Jul 14, 2026 · 15:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Saburtalo 1.52 · Draw 4.68 · Flora Tallinn 4.82
    • Implied 1X2 · Saburtalo 61.0% · Draw 19.8% · Flora Tallinn 19.2%
    • Bookmaker · Pinnacle
  4. Jul 14, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 51/100 · Moderate
  • Validation: Warning
  • Large market gap (24 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 19:32 UTC Snapshot ID: dp-1491958

Closing Odds 1.52
AI Fair Odds —
CLV Pending
Final Result Draw · Saburtalo 2–2 Flora Tallinn
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

Pre-match snapshot for this fixture.

  • League: UEFA Champions League
  • Fixture: Saburtalo vs Flora Tallinn
  • Kickoff: 2026-07-14 16:00:00
  • 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
  • xG (showing): Saburtalo 1.34 — Flora Tallinn 1.26 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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: Wait

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 02, 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