Statistics / Football / England. League One / Notts County vs Leicester

Notts County vs Leicester Statistics & Analysis

Notts County Notts County
Aug 15, 2026 - 11:30
1 1.32
1 1.28
xG Accuracy: 85%
Leicester Leicester
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Tracked markets vs full-time result

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 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Notts County Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 01:27 UTC Snapshot ID: dp-3342774

Closing Odds 2.06
AI Fair Odds —
CLV +0.0%
Final Result Draw · Notts County 1–1 Leicester
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Notts County (1X2), Draw (1X2) meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Notts County (1X2) by about 9.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Notts County (1X2) 36.1 26.2 +9.9
Draw (1X2) 29.7 27.4 +2.3
Leicester (1X2) 34.2 46.5 -12.2
Over 2.5 goals 48.2 47.9 +0.3
Under 2.5 goals 51.8 52.1 -0.3
What this means

In plain terms: the model lands near 36.1% on Notts County (1X2), while the closing snapshot implied about 26.2%. The difference — about 9.9 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Notts County (1X2) 3.66 3.66 0.0
Draw (1X2) 3.5 3.5 0.0
Leicester (1X2) 2.06 2.06 0.0
Over 2.5 goals 2.01 2.01 0.0
Under 2.5 goals 1.85 1.85 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: League One
  • Fixture: Notts County vs Leicester
  • Kickoff: 2026-08-15 11:30:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Notts County 1.32 — Leicester 1.28 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Notts County
  • Model: 36.1% · Implied: 26.2% · Probability edge: +9.9 pts · Est. EV: +5.0%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: No Primary Bet

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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Back to Statistics
League One League One — Standings
# TEAM MP W D L PTS
1 Bradford 7 5 0 2 15
2 Sheffield Wednesday 7 4 2 1 14
3 Plymouth 7 4 1 2 13
4 Huddersfield 7 3 3 1 12
5 Cambridge United 7 3 3 1 12
6 Oxford United 6 3 2 1 11
7 AFC Wimbledon 7 3 2 2 11
8 Reading 6 3 1 2 10
9 Stockport County 7 3 1 3 10
10 Leyton Orient 7 3 1 3 10
11 Stevenage 7 2 3 2 9
12 Burton Albion 7 2 3 2 9
13 Leicester 7 2 3 2 9
14 Wycombe 7 2 3 2 9
15 Blackpool 7 2 2 3 8
16 Luton 7 2 2 3 8
17 Mansfield Town 7 2 2 3 8
18 Barnsley 7 2 2 3 8
19 Bromley 7 2 2 3 8
20 Notts County 7 1 4 2 7
21 Doncaster 7 1 3 3 6
22 Milton Keynes Dons 7 0 6 1 6
23 Peterborough 7 1 2 4 5
24 Wigan 7 1 1 5 4
# TEAM MP GS GC +/- PTS
1 Stockport County 7 16 10 +6 10
2 Reading 6 14 7 +7 10
3 Plymouth 7 14 10 +4 13
4 Sheffield Wednesday 7 13 6 +7 14
5 Oxford United 6 13 7 +6 11
6 Leyton Orient 7 13 9 +4 10
7 Blackpool 7 13 13 0 8
8 Cambridge United 7 12 10 +2 12
9 Burton Albion 7 12 12 0 9
10 Luton 7 12 14 -2 8
11 Huddersfield 7 11 6 +5 12
12 Stevenage 7 11 8 +3 9
13 Wycombe 7 11 14 -3 9
14 Mansfield Town 7 10 13 -3 8
15 Leicester 7 9 11 -2 9
16 Doncaster 7 8 9 -1 6
17 Milton Keynes Dons 7 8 10 -2 6
18 Bromley 7 8 18 -10 8
19 Bradford 7 7 4 +3 15
20 Notts County 7 7 9 -2 7
21 Barnsley 7 7 12 -5 8
22 AFC Wimbledon 7 5 7 -2 11
23 Wigan 7 5 12 -7 4
24 Peterborough 7 4 12 -8 5
# TEAM MP xG xGC +/- PTS
1 Sheffield Wednesday 7 8.6 3.5 +5.1 14
2 Wigan 7 6.9 3.6 +3.3 4
3 Notts County 7 5.3 2.8 +2.5 7
4 Reading 6 5.3 3.3 +2.0 10
5 Huddersfield 7 4.7 2.7 +2.0 12
6 Stockport County 7 7.0 5.5 +1.5 10
7 Luton 7 6.2 4.7 +1.5 8
8 Doncaster 7 3.1 2.0 +1.1 6
9 Blackpool 7 8.7 8.2 +0.5 8
10 Wycombe 7 4.4 4.1 +0.3 9
11 Barnsley 7 5.6 5.5 +0.1 8
12 Leicester 7 3.4 3.5 -0.1 9
13 Oxford United 6 2.4 2.8 -0.4 11
14 Bradford 7 3.0 3.6 -0.6 15
15 Stevenage 7 2.0 2.8 -0.8 9
16 Cambridge United 7 3.6 4.5 -0.9 12
17 Peterborough 7 4.3 5.6 -1.3 5
18 Plymouth 7 3.4 4.7 -1.3 13
19 Mansfield Town 7 5.2 6.6 -1.4 8
20 Milton Keynes Dons 7 3.7 5.2 -1.5 6
21 Burton Albion 7 2.7 5.3 -2.6 9
22 AFC Wimbledon 7 2.9 5.7 -2.8 11
23 Leyton Orient 7 3.1 6.0 -2.9 10
24 Bromley 7 3.1 6.5 -3.4 8
League One England. League One Predictions