Predictions / Football / Russia. Premier League / Makhachkala vs Spartak Moscow

Prediction Audit: Makhachkala vs Spartak Moscow Prediction, Odds & AI Betting Tips

May 17, 2026 - 15:00
0 0.96
0 0.97
xG Accuracy: 59%

AI correctly predicted the Draw.

The match finished 0–0, 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 Under 2.5 Under 2.5 (0 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 draw Draw ✔ Correct
  • Correct Score Insights 0-0, 0-1, 1-0, 1-1, 0-2 0-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Spartak Moscow higher than the statistical model.

Largest probability gap: Spartak Moscow -15.5 pp

Outcome Model Closing Market Difference Signal
Makhachkala 32.2% 23.4% +8.8 pp Model Higher
Draw 35.0% 28.3% +6.7 pp Model Higher
Spartak Moscow 32.8% 48.3% -15.5 pp Market Higher

The closing market estimates Spartak Moscow's win probability at 48.3%, compared with the model's estimate of 32.8%, a difference of 15.5 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 (Draw 0–0).

Market Assessment

The market is materially more optimistic about Spartak Moscow 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

  • Low-scoring profile materialised (ΣxG 1.93, 0 goals)
  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Draw higher (50.5% vs model 35.0%, 15.5 pp), but the model's lean was validated (Draw 0–0).

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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 · Makhachkala 32.2% · Draw 35.0% · Spartak Moscow 32.7%
    • xG · Makhachkala 0.96 — Spartak Moscow 0.97
  2. May 17, 2026 · 14:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Makhachkala 4.11 · Draw 3.39 · Spartak Moscow 1.99
    • Implied 1X2 · Makhachkala 23.4% · Draw 28.3% · Spartak Moscow 48.3%
    • Bookmaker · Pinnacle
  3. May 17, 2026 · 15:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Makhachkala 4.11 · Draw 3.39 · Spartak Moscow 1.99
    • Implied 1X2 · Makhachkala 23.4% · Draw 28.3% · Spartak Moscow 48.3%
    • Bookmaker · Pinnacle
  4. May 17, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 55/100 · Moderate
  • Validation: Warning
  • Large market gap (16 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 7/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 18:42 UTC Snapshot ID: dp-1625036

Closing Odds 1.99
AI Fair Odds —
CLV Pending
Final Result Draw · Makhachkala 0–0 Spartak Moscow
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: Premier League
  • Fixture: Makhachkala vs Spartak Moscow
  • Kickoff: 2026-05-17 15:00:00
  • 1X2 (model): Home 32.2% · Draw 35.0% · Away 32.7%
  • xG (showing): Makhachkala 0.96 — Spartak Moscow 0.97 (total xG ≈ 1.93)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 69.6% · Implied: 56.6% · Probability edge: +13.0 pts · Est. EV: +21.1%
  • BTTS (model): Yes 40.1% · No 59.9%
  • Correct score (top bin): 0-0 (14.5%)

Totals and BTTS are evaluated against current market prices where available.

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

October 02, 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