Prediction Audit: Sevastopol vs Rubin Yalta Prediction, Odds & AI Betting Tips

Sevastopol

Sep 22, 2026 - 13:00

3 1.52

1 1.08

xG Accuracy: 65%

Rubin Yalta

AI correctly predicted the Sevastopol win.

The match finished 3–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

Each row compares the pre-match model lean to the full-time result.

Market Prediction Result Outcome
Over / Under 2.5 Over 2.5 Over 2.5 (4 goals) ✔ Correct
Both Teams To Score BTTS Yes Yes ✔ Correct
1X2 Sevastopol Sevastopol ✔ Correct
Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 3-1 ✖ Incorrect

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
Sevastopol	45.8%	60.2%	-14.3 pp	Market Higher
Draw	28.8%	26.8%	+2.0 pp	Aligned
Rubin Yalta	25.4%	13.0%	+12.4 pp	Model Edge

The closing market estimates Sevastopol's win probability at 60.2%, compared with the model's estimate of 45.8%, a difference of 14.3 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 (Sevastopol win 3–1).

Market Assessment

The market is materially more optimistic about Sevastopol 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

Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
Sevastopol attacking xG significantly stronger (1.52 vs 1.08)
Both Teams To Score (Yes) matched the full-time result

What failed

Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Sevastopol higher (60.1% vs model 45.8%, 14.3 pp), but the model's lean was validated (Sevastopol win 3–1).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

Sep 22, 2026 · 12:59 UTC Forecast generated
- Model 1X2 · Sevastopol 45.8% · Draw 28.8% · Rubin Yalta 25.4%
- xG · Sevastopol 1.52 — Rubin Yalta 1.08
Sep 22, 2026 · 12:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Sevastopol 1.48 · Draw 3.32 · Rubin Yalta 6.85
- Implied 1X2 · Sevastopol 60.2% · Draw 26.8% · Rubin Yalta 13.0%
- Bookmaker · Marathonbet
Sep 22, 2026 · 12:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Sevastopol 1.48 · Draw 3.32 · Rubin Yalta 6.85
- Implied 1X2 · Sevastopol 60.2% · Draw 26.8% · Rubin Yalta 13.0%
- Bookmaker · Marathonbet
Sep 22, 2026 · 13:00 UTC Kickoff
FT Full-time result Sevastopol win · 3–1
FT Prediction validated Directional lean matched full-time result
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 Validated

Pre-match metrics (historical context)

Prediction Reliability 56/100 · Moderate

Validation: Warning
Large market gap (14 pp)

Evidence ★★★★★

No strong statistical edge
Market has already priced much of the edge
Validation warning

Pricing proximity (inverse gap) 28/100

Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 16, 2026 · 02:25 UTC Snapshot ID: dp-8987139

Closing Odds 1.48

AI Fair Odds —

CLV Pending

Final Result Sevastopol win · Sevastopol 3–1 Rubin Yalta

Prediction ✔ Correct

Decision Grade A

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: Second League - Group 1
Fixture: Sevastopol vs Rubin Yalta
Kickoff: 2026-09-22 13:00:00
1X2 (model): Home 45.8% · Draw 28.8% · Away 25.4%
xG (showing): Sevastopol 1.52 — Rubin Yalta 1.08 (total xG ≈ 2.6)
Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
Model: 53.2% · Implied: 43.9% · Probability edge: +9.3 pts · Est. EV: +10.7%
BTTS (model): Yes 53.2% · No 46.8%
Correct score (top bin): 1-1 (12.2%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Monitor

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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Second League - Group 1 — Standings

#	TEAM	MP	W	D	L	PTS
1	Sevastopol	21	16	2	3	50
2	Shahter Taganrog	21	14	4	3	46
3	Rostov II	21	14	4	3	46
4	Rubin Yalta	20	9	7	4	34
5	Pobeda	20	10	3	7	33
6	Kyzyltash	21	9	4	8	31
7	Nart Cherkessk	20	9	3	8	30
8	Spartak Nalchik	20	7	7	6	28
9	Druzhba	20	7	6	7	27
10	Lugansk	21	6	6	9	24
11	Astrakhan	20	5	5	10	20
12	Izberbash	21	6	0	15	18
13	Angust Nazran	20	4	4	12	16
14	FK Chayka 2	21	4	2	15	14
15	Dynamo Makhachkala II	21	3	5	13	14
16	PSK Dinskaya	0	0	0	0	0

#	TEAM	MP	GS	GC	+/-	PTS
1	Rostov II	21	45	16	+29	46
2	Shahter Taganrog	21	42	20	+22	46
3	Sevastopol	21	38	17	+21	50
4	Pobeda	20	38	27	+11	33
5	Kyzyltash	21	36	30	+6	31
6	Rubin Yalta	20	29	19	+10	34
7	Nart Cherkessk	20	27	19	+8	30
8	Spartak Nalchik	20	27	20	+7	28
9	Lugansk	21	24	30	-6	24
10	Druzhba	20	23	25	-2	27
11	Astrakhan	20	22	32	-10	20
12	Dynamo Makhachkala II	21	19	39	-20	14
13	Izberbash	21	19	57	-38	18
14	FK Chayka 2	21	17	43	-26	14
15	Angust Nazran	20	9	21	-12	16
16	PSK Dinskaya	0	0	0	0	0