Prediction Audit: Southend vs Barrow Prediction, Odds & AI Betting Tips

Sep 26, 2026 - 14:00
2 1.41
4 1.19
xG Accuracy: 39%

The model missed the final outcome (Barrow win 2–4).

The model had projected Southend at 40.4%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Southend Barrow ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 0-0 2-4 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Southend higher than the statistical model.

Largest probability gap: Southend -14.7 pp

Outcome Model Closing Market Difference Signal
Southend 40.4% 55.1% -14.7 pp Market Higher
Draw 29.4% 22.9% +6.6 pp Model Higher
Barrow 30.1% 22.0% +8.1 pp Model Higher

The closing market estimates Southend's win probability at 55.1%, compared with the model's estimate of 40.4%, a difference of 14.7 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: PRE5.

After full time, the result was Barrow win 2–4.

Market Assessment

The market is materially more optimistic about Southend 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)

Market lesson

The closing market differed from the model on Southend by 14.7 percentage points (55.1% vs model 40.4%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 26, 2026 · 14:04 UTC Forecast generated
    • Model 1X2 · Southend 40.5% · Draw 29.4% · Barrow 30.1%
    • xG · Southend 1.41 — Barrow 1.19
  2. Sep 26, 2026 · 13:41 UTC Opening odds snapshot PRE30
    • 1X2 odds · Southend 1.72 · Draw 4.15 · Barrow 4.31
    • Implied 1X2 · Southend 55.1% · Draw 22.9% · Barrow 22.0%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 14:04 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Southend 1.72 · Draw 4.15 · Barrow 4.31
    • Implied 1X2 · Southend 55.1% · Draw 22.9% · Barrow 22.0%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Barrow win · 2–4
  6. FT Prediction missed 1X2 lean did not match 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 Missed
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 26/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:50 UTC Snapshot ID: dp-10099499

Closing Odds 1.72
AI Fair Odds —
CLV Pending
Final Result Barrow win · Southend 2–4 Barrow
Prediction ✖ Missed
Decision Grade F

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: National League
  • Fixture: Southend vs Barrow
  • Kickoff: 2026-09-26 14:00:00
  • 1X2 (model): Home 40.5% · Draw 29.4% · Away 30.1%
  • xG (showing): Southend 1.41 — Barrow 1.19 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 41.2% · Probability edge: +10.6 pts · Est. EV: +22.2%
  • BTTS (model): Yes 54.2% · No 45.8%
  • 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: Monitor

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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National League National League — Standings
# TEAM MP W D L PTS
1 Boreham Wood 9 7 2 0 23
2 Southend 9 6 2 1 20
3 Kidderminster Harriers 9 5 3 1 18
4 AFC Fylde 9 5 2 2 17
5 Harrogate Town 9 5 1 3 16
6 Sutton Utd 9 5 1 3 16
7 Yeovil Town 9 4 3 2 15
8 Aldershot Town 9 4 3 2 15
9 AFC Hornchurch 9 5 0 4 15
10 Altrincham 9 5 0 4 15
11 Worthing 9 4 2 3 14
12 Eastleigh 9 4 2 3 14
13 FC Halifax Town 9 4 1 4 13
14 Forest Green 9 4 1 4 13
15 Boston United 9 3 2 4 11
16 Carlisle 9 2 4 3 10
17 Barrow 9 2 3 4 9
18 Woking 9 2 3 4 9
19 Hartlepool 9 3 0 6 9
20 Wealdstone 9 2 2 5 8
21 Tamworth 9 2 2 5 8
22 Scunthorpe 9 2 1 6 7
23 Solihull Moors 9 1 1 7 4
24 Gateshead 9 1 1 7 4
# TEAM MP GS GC +/- PTS
1 Boreham Wood 9 23 11 +12 23
2 Southend 9 23 12 +11 20
3 AFC Fylde 9 20 13 +7 17
4 Harrogate Town 9 20 16 +4 16
5 Yeovil Town 9 18 14 +4 15
6 Worthing 9 17 15 +2 14
7 Carlisle 9 16 14 +2 10
8 Tamworth 9 16 23 -7 8
9 FC Halifax Town 9 14 11 +3 13
10 Kidderminster Harriers 9 13 7 +6 18
11 Boston United 9 13 13 0 11
12 Forest Green 9 13 14 -1 13
13 Altrincham 9 12 15 -3 15
14 Eastleigh 9 11 10 +1 14
15 AFC Hornchurch 9 11 12 -1 15
16 Barrow 9 11 12 -1 9
17 Wealdstone 9 11 15 -4 8
18 Scunthorpe 9 11 15 -4 7
19 Aldershot Town 9 10 7 +3 15
20 Sutton Utd 9 10 10 0 16
21 Woking 9 10 12 -2 9
22 Solihull Moors 9 9 23 -14 4
23 Hartlepool 9 7 11 -4 9
24 Gateshead 9 6 20 -14 4