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

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

Sep 17, 2026 - 17:45
1 1.22
3 1.38
xG Accuracy: 60%

AI correctly predicted the CSKA Moscow win.

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

Tracked markets vs full-time result

Prediction grade B-

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 CSKA Moscow CSKA Moscow ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-3 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: CSKA Moscow -2.7 pp

Outcome Model Closing Market Difference Signal
Makhachkala 31.5% 30.1% +1.4 pp Aligned
Draw 29.5% 28.2% +1.4 pp Aligned
CSKA Moscow 39.0% 41.7% -2.7 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 (CSKA Moscow win 1–3).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

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)
  • Exact score: outside the model's top score bins

Market lesson

The model's directional lean matched the full-time result (CSKA Moscow win 1–3).

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Prediction Timeline

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

  1. Sep 17, 2026 · 17:44 UTC Forecast generated
    • Model 1X2 · Makhachkala 31.5% · Draw 29.5% · CSKA Moscow 39.0%
    • xG · Makhachkala 1.22 — CSKA Moscow 1.38
  2. Sep 17, 2026 · 17:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Makhachkala 3.21 · Draw 3.43 · CSKA Moscow 2.32
    • Implied 1X2 · Makhachkala 30.1% · Draw 28.2% · CSKA Moscow 41.7%
    • Bookmaker · Pinnacle
  3. Sep 17, 2026 · 17:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Makhachkala 3.21 · Draw 3.43 · CSKA Moscow 2.32
    • Implied 1X2 · Makhachkala 30.1% · Draw 28.2% · CSKA Moscow 41.7%
    • Bookmaker · Pinnacle
  4. Sep 17, 2026 · 17:45 UTC Kickoff
  5. FT Full-time result CSKA Moscow win · 1–3
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 86/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 11, 2026 · 04:01 UTC Snapshot ID: dp-7998984

Closing Odds 2.32
AI Fair Odds —
CLV Pending
Final Result CSKA Moscow win · Makhachkala 1–3 CSKA Moscow
Prediction ✔ Correct
Decision Grade B-

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 CSKA Moscow
  • Kickoff: 2026-09-17 17:45:00
  • 1X2 (model): Home 31.5% · Draw 29.5% · Away 39.0%
  • xG (showing): Makhachkala 1.22 — CSKA Moscow 1.38 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

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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Premier League Premier League — Standings
# TEAM MP W D L PTS
1 FC Krasnodar 9 6 3 0 21
2 Dynamo 9 6 1 2 19
3 CSKA Moscow 9 5 4 0 19
4 Spartak Moscow 9 6 1 2 19
5 Zenit 9 6 0 3 18
6 Rubin 9 2 6 1 12
7 Makhachkala 9 4 0 5 12
8 Baltika 9 3 2 4 11
9 Krylia Sovetov 9 2 5 2 11
10 Akhmat 9 2 4 3 10
11 FC Orenburg 9 1 6 2 9
12 FC Rostov 9 2 2 5 8
13 Akron 9 1 5 3 8
14 Lokomotiv 9 1 4 4 7
15 Rodina Moskva 9 1 2 6 5
16 Fakel 9 0 3 6 3
# TEAM MP GS GC +/- PTS
1 Zenit 9 19 9 +10 18
2 Spartak Moscow 9 16 7 +9 19
3 CSKA Moscow 9 15 9 +6 19
4 Makhachkala 9 15 16 -1 12
5 FC Krasnodar 9 14 7 +7 21
6 Dynamo 9 14 8 +6 19
7 Baltika 9 14 12 +2 11
8 Akhmat 9 13 13 0 10
9 Krylia Sovetov 9 13 14 -1 11
10 Rubin 9 12 11 +1 12
11 Akron 9 11 18 -7 8
12 FC Rostov 9 10 17 -7 8
13 Rodina Moskva 9 10 22 -12 5
14 Lokomotiv 9 8 11 -3 7
15 FC Orenburg 9 7 10 -3 9
16 Fakel 9 6 13 -7 3