Predictions / Football / Russia. Premier League / FC Rostov vs Zenit

Prediction Audit: FC Rostov vs Zenit Prediction, Odds & AI Betting Tips

FC Rostov FC Rostov
May 17, 2026 - 15:00
0 0.82
1 0.84
xG Accuracy: 76%
Zenit Zenit

The model missed the final outcome (Zenit win 0–1).

The model had projected Draw at 38.0%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 draw Zenit ✖ Incorrect
  • Correct Score Insights 0-0, 0-1, 1-0, 1-1, 0-2 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Zenit higher than the statistical model.

Largest probability gap: Zenit -35.2 pp

Outcome Model Closing Market Difference Signal
FC Rostov 30.5% 11.2% +19.2 pp Model Edge
Draw 38.0% 22.0% +16.0 pp Model Edge
Zenit 31.6% 66.8% -35.2 pp Market Higher

The closing market estimates Zenit's win probability at 66.8%, compared with the model's estimate of 31.6%, a difference of 35.2 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 Zenit win 0–1.

Post Match Insights

What worked

  • Low-scoring profile materialised (ΣxG 1.66, 1 goals)
  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned draw; match finished Zenit

Market lesson

The closing market differed from the model on Draw by 35.2 percentage points (73.2% vs model 38.0%) — 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. May 17, 2026 · 15:01 UTC Forecast generated
    • Model 1X2 · FC Rostov 30.5% · Draw 38.0% · Zenit 31.5%
    • xG · FC Rostov 0.82 — Zenit 0.84
  2. May 17, 2026 · 14:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · FC Rostov 8.50 · Draw 4.35 · Zenit 1.43
    • Implied 1X2 · FC Rostov 11.2% · Draw 22.0% · Zenit 66.8%
    • Bookmaker · Pinnacle
  3. May 17, 2026 · 15:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · FC Rostov 8.50 · Draw 4.35 · Zenit 1.43
    • Implied 1X2 · FC Rostov 11.2% · Draw 22.0% · Zenit 66.8%
    • Bookmaker · Pinnacle
  4. May 17, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Zenit win · 0–1
  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 31/100 · Low
  • Validation: Fail
  • Large market gap (35 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 17:18 UTC Snapshot ID: dp-1620511

Closing Odds 1.43
AI Fair Odds —
CLV Pending
Final Result Zenit win · FC Rostov 0–1 Zenit
Prediction ✖ Missed
Decision Grade C

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 Draw; market prices Zenit instead — inputs may be missing or stale.

  • Model: FC Rostov 0.82 xG vs Zenit 0.84 → Draw 38.0%
  • Market: Zenit ~22.0% 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 76.8% · Over 2.5 23.2%); BTTS No (Yes 33.5% · No 66.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No

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

September 28, 2026 (UTC)

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Premier League Premier League — Standings
# TEAM MP W D L PTS
1 Zenit 30 20 8 2 68
2 FC Krasnodar 30 20 6 4 66
3 Lokomotiv 30 14 11 5 53
4 Spartak Moscow 30 15 7 8 52
5 CSKA Moscow 30 15 6 9 51
6 Baltika 30 11 13 6 46
7 Dynamo 30 12 9 9 45
8 Rubin 30 11 10 9 43
9 Akhmat 30 9 10 11 37
10 FC Rostov 30 8 9 13 33
11 Krylia Sovetov 30 8 8 14 32
12 FC Orenburg 30 7 8 15 29
13 Akron 30 6 9 15 27
14 Makhachkala 30 5 11 14 26
15 Nizhny Novgorod 30 6 5 19 23
16 FC Sochi 30 6 4 20 22
# TEAM MP GS GC +/- PTS
1 FC Krasnodar 30 60 23 +37 66
2 Lokomotiv 30 54 39 +15 53
3 Zenit 30 53 19 +34 68
4 Dynamo 30 51 40 +11 45
5 Spartak Moscow 30 47 39 +8 52
6 CSKA Moscow 30 44 33 +11 51
7 Baltika 30 38 21 +17 46
8 Akhmat 30 35 39 -4 37
9 Krylia Sovetov 30 35 50 -15 32
10 Akron 30 35 53 -18 27
11 Rubin 30 29 30 -1 43
12 FC Orenburg 30 29 44 -15 29
13 FC Sochi 30 29 60 -31 22
14 Nizhny Novgorod 30 26 50 -24 23
15 FC Rostov 30 25 32 -7 33
16 Makhachkala 30 19 37 -18 26
# TEAM MP xG xGC +/- PTS
1 FC Krasnodar 30 27.6 15.2 +12.4 66
2 Zenit 30 25.0 14.1 +10.9 68
3 Lokomotiv 30 26.7 20.4 +6.3 53
4 Dynamo 30 23.7 18.5 +5.2 45
5 Spartak Moscow 30 22.8 19.0 +3.8 52
6 Baltika 30 22.2 18.6 +3.6 46
7 Rubin 30 19.1 16.8 +2.3 43
8 FC Rostov 30 19.1 17.2 +1.9 33
9 Akhmat 30 20.2 19.3 +0.9 37
10 CSKA Moscow 30 23.4 24.7 -1.3 51
11 Makhachkala 30 15.7 17.1 -1.4 26
12 Akron 30 21.8 24.9 -3.1 27
13 FC Orenburg 30 18.4 23.8 -5.4 29
14 Nizhny Novgorod 30 16.7 25.0 -8.3 23
15 Krylia Sovetov 30 12.9 26.0 -13.1 32
16 FC Sochi 30 12.1 27.1 -15.0 22