Statistics / Football / England. League Two / York vs Gillingham

York vs Gillingham Statistics & Analysis

Sep 26, 2026 - 14:00
3 1.79
0 1.51
xG Accuracy: 47%
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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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 York York ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-2, 2-2, 1-0 3-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:42 UTC Snapshot ID: dp-10096562

Closing Odds 1.68
AI Fair Odds —
CLV +0.0%
Final Result York win · York 3–0 Gillingham
Prediction ✔ Correct
Decision Grade B-

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 PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Gillingham (1X2), Over 2.5 goals 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 Gillingham (1X2) by about 10.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
York (1X2) 43.1 56.5 -13.4
Draw (1X2) 25.4 22.3 +3.1
Gillingham (1X2) 31.5 21.2 +10.3
Over 2.5 goals 64.1 59.6 +4.5
Under 2.5 goals 35.9 40.4 -4.5
What this means

In plain terms: the model lands near 31.5% on Gillingham (1X2), while the closing snapshot implied about 21.2%. The difference — about 10.3 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 → PRE5 · 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 (PRE5) Implied Δ (pp)
York (1X2) 1.68 1.68 0.0
Draw (1X2) 4.26 4.26 0.0
Gillingham (1X2) 4.48 4.48 0.0
Over 2.5 goals 1.6 1.6 0.0
Under 2.5 goals 2.36 2.36 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: League Two
  • Fixture: York vs Gillingham
  • Kickoff: 2026-09-26 14:00:00
  • 1X2 (model): Home 43.1% · Draw 25.4% · Away 31.5%
  • xG (showing): York 1.79 — Gillingham 1.51 (total xG ≈ 3.3)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 66.2% · Implied: 58.3% · Probability edge: +7.9 pts · Est. EV: +6.6%
  • BTTS (model): Yes 66.2% · No 33.8%
  • Correct score (top bin): 1-1 (10.0%)

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: Selective Lean - 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 28, 2026 (UTC)

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Back to Statistics
League Two League Two — Standings
# TEAM MP W D L PTS
1 Barnet 7 4 3 0 15
2 Walsall 7 3 4 0 13
3 Grimsby 7 3 4 0 13
4 Gillingham 7 3 3 1 12
5 Cheltenham 7 3 3 1 12
6 Bristol Rovers 7 4 0 3 12
7 York 7 3 2 2 11
8 Chesterfield 7 3 2 2 11
9 Crewe 7 2 5 0 11
10 Tranmere 7 2 4 1 10
11 Fleetwood Town 7 2 4 1 10
12 Salford City 7 3 1 3 10
13 Swindon Town 7 3 1 3 10
14 Rotherham 7 2 3 2 9
15 Colchester 7 2 3 2 9
16 Oldham 7 2 1 4 7
17 Rochdale 7 2 1 4 7
18 Shrewsbury 7 2 1 4 7
19 Newport County 7 1 3 3 6
20 Exeter City 7 1 3 3 6
21 Accrington ST 7 1 3 3 6
22 Northampton 7 1 3 3 6
23 Port Vale 7 1 2 4 5
24 Crawley Town 7 1 1 5 4
# TEAM MP GS GC +/- PTS
1 Barnet 7 17 10 +7 15
2 Cheltenham 7 14 11 +3 12
3 York 7 13 10 +3 11
4 Bristol Rovers 7 12 11 +1 12
5 Grimsby 7 11 6 +5 13
6 Gillingham 7 11 6 +5 12
7 Walsall 7 10 4 +6 13
8 Chesterfield 7 10 8 +2 11
9 Rotherham 7 10 10 0 9
10 Newport County 7 10 11 -1 6
11 Accrington ST 7 10 13 -3 6
12 Tranmere 7 9 7 +2 10
13 Fleetwood Town 7 8 7 +1 10
14 Salford City 7 8 9 -1 10
15 Oldham 7 8 9 -1 7
16 Colchester 7 8 10 -2 9
17 Swindon Town 7 8 11 -3 10
18 Crewe 7 7 5 +2 11
19 Rochdale 7 7 10 -3 7
20 Crawley Town 7 6 13 -7 4
21 Shrewsbury 7 5 11 -6 7
22 Exeter City 7 4 5 -1 6
23 Northampton 7 3 6 -3 6
24 Port Vale 7 3 9 -6 5
# TEAM MP xG xGC +/- PTS
1 Accrington ST 7 3.0 0.5 +2.5 6
2 Walsall 7 3.5 1.8 +1.7 13
3 Rotherham 7 2.2 0.7 +1.5 9
4 Northampton 7 1.6 0.3 +1.3 6
5 Barnet 7 2.8 1.8 +1.0 15
6 Shrewsbury 7 2.1 1.2 +0.9 7
7 Crewe 7 1.7 0.8 +0.9 11
8 Grimsby 7 1.9 1.1 +0.8 13
9 Oldham 7 1.5 0.9 +0.6 7
10 Bristol Rovers 7 2.0 1.6 +0.4 12
11 Fleetwood Town 7 1.9 1.5 +0.4 10
12 York 7 1.6 2.0 -0.4 11
13 Chesterfield 7 1.5 1.9 -0.4 11
14 Port Vale 7 0.9 1.5 -0.6 5
15 Exeter City 7 1.1 1.9 -0.8 6
16 Tranmere 7 1.2 2.1 -0.9 10
17 Crawley Town 7 0.8 1.7 -0.9 4
18 Salford City 7 1.8 2.8 -1.0 10
19 Swindon Town 7 0.3 1.6 -1.3 10
20 Cheltenham 7 0.7 2.2 -1.5 12
21 Gillingham 7 1.8 3.5 -1.7 12
22 Colchester 7 0.5 3.0 -2.5 9
23 Rochdale 7 — — — 7
24 Newport County 7 — — — 6