Predictions / Football / England. Premier League / Nottingham Forest vs Coventry

Prediction Audit: Nottingham Forest vs Coventry Prediction, Odds & AI Betting Tips

Sep 19, 2026 - 16:30
0 1.23
1 1.29
xG Accuracy: 66%

AI correctly predicted the Coventry win.

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

Model vs Closing Market

Strong Disagreement

The closing market prices Nottingham Forest higher than the statistical model.

Largest probability gap: Nottingham Forest -25.4 pp

Outcome Model Closing Market Difference Signal
Nottingham Forest 33.5% 58.9% -25.4 pp Market Higher
Draw 30.2% 24.8% +5.4 pp Model Higher
Coventry 36.3% 16.4% +20.0 pp Model Edge

The closing market estimates Nottingham Forest's win probability at 58.9%, compared with the model's estimate of 33.5%, a difference of 25.4 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 (Coventry win 0–1).

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Coventry higher (61.7% vs model 36.3%, 25.4 pp), but the model's lean was validated (Coventry win 0–1).

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Prediction Timeline

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

  1. Sep 19, 2026 · 19:54 UTC Forecast generated
    • Model 1X2 · Nottingham Forest 33.4% · Draw 30.2% · Coventry 36.4%
    • xG · Nottingham Forest 1.23 — Coventry 1.29
  2. Sep 19, 2026 · 16:20 UTC Opening odds snapshot PRE10
    • 1X2 odds · Nottingham Forest 1.64 · Draw 3.90 · Coventry 5.90
    • Implied 1X2 · Nottingham Forest 58.9% · Draw 24.8% · Coventry 16.4%
    • Bookmaker · Pinnacle
  3. Sep 19, 2026 · 16:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Nottingham Forest 1.64 · Draw 3.90 · Coventry 5.90
    • Implied 1X2 · Nottingham Forest 58.9% · Draw 24.8% · Coventry 16.4%
    • Bookmaker · Pinnacle
  4. Sep 19, 2026 · 16:30 UTC Kickoff
  5. FT Full-time result Coventry win · 0–1
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 50/100 · Moderate
  • Validation: Warning
  • Large market gap (25 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 03:14 UTC Snapshot ID: dp-8704216

Closing Odds 1.64
AI Fair Odds —
CLV Pending
Final Result Coventry win · Nottingham Forest 0–1 Coventry
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

Pre-match snapshot for this fixture.

  • League: Premier League
  • Fixture: Nottingham Forest vs Coventry
  • Kickoff: 2026-09-19 16:30:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Nottingham Forest 1.23 — Coventry 1.29 (total xG ≈ 2.52)
  • 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

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Wait

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 28, 2026 (UTC)

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Premier League Premier League — Standings
# TEAM MP W D L PTS
1 Manchester City 5 5 0 0 15
2 Arsenal 5 4 0 1 12
3 Brighton 5 3 1 1 10
4 Brentford 5 2 3 0 9
5 Leeds 5 2 3 0 9
6 Liverpool 5 2 3 0 9
7 Everton 5 2 3 0 9
8 Hull City 5 2 2 1 8
9 Newcastle 5 2 2 1 8
10 Chelsea 5 2 1 2 7
11 Ipswich 5 2 0 3 6
12 Manchester United 5 1 2 2 5
13 Nottingham Forest 5 1 2 2 5
14 Sunderland 5 1 1 3 4
15 Crystal Palace 5 1 1 3 4
16 Aston Villa 5 1 1 3 4
17 Bournemouth 5 0 3 2 3
18 Coventry 5 1 0 4 3
19 Fulham 5 0 2 3 2
20 Tottenham 5 0 2 3 2
# TEAM MP GS GC +/- PTS
1 Brighton 5 16 5 +11 10
2 Manchester City 5 13 5 +8 15
3 Brentford 5 10 4 +6 9
4 Chelsea 5 10 12 -2 7
5 Newcastle 5 9 9 0 8
6 Arsenal 5 8 4 +4 12
7 Manchester United 5 8 8 0 5
8 Leeds 5 7 3 +4 9
9 Liverpool 5 7 4 +3 9
10 Ipswich 5 7 11 -4 6
11 Everton 5 6 3 +3 9
12 Hull City 5 6 4 +2 8
13 Bournemouth 5 6 8 -2 3
14 Sunderland 5 6 10 -4 4
15 Crystal Palace 5 6 11 -5 4
16 Fulham 5 5 8 -3 2
17 Nottingham Forest 5 4 5 -1 5
18 Aston Villa 5 4 9 -5 4
19 Tottenham 5 2 8 -6 2
20 Coventry 5 1 10 -9 3
# TEAM MP xG xGC +/- PTS
1 Arsenal 5 4.9 1.0 +3.9 12
2 Brentford 5 5.5 1.9 +3.6 9
3 Manchester United 5 7.1 4.3 +2.8 5
4 Manchester City 5 3.8 1.2 +2.6 15
5 Brighton 5 5.2 3.3 +1.9 10
6 Nottingham Forest 5 3.0 2.1 +0.9 5
7 Chelsea 5 5.1 5.0 +0.1 7
8 Liverpool 5 3.8 3.7 +0.1 9
9 Crystal Palace 5 2.6 2.6 0.0 4
10 Sunderland 5 2.5 2.5 0.0 4
11 Leeds 5 1.9 2.2 -0.3 9
12 Coventry 5 1.6 2.5 -0.9 3
13 Everton 5 3.9 4.9 -1.0 9
14 Newcastle 5 2.2 3.3 -1.1 8
15 Hull City 5 2.0 3.1 -1.1 8
16 Bournemouth 5 2.8 4.1 -1.3 3
17 Fulham 5 2.1 3.5 -1.4 2
18 Ipswich 5 3.8 5.3 -1.5 6
19 Tottenham 5 1.5 4.7 -3.2 2
20 Aston Villa 5 0.6 4.7 -4.1 4