Predictions / Football / England. National League / Carlisle vs Forest Green

Prediction Audit: Carlisle vs Forest Green Prediction, Odds & AI Betting Tips

Carlisle Carlisle
Sep 15, 2026 - 18:45
1 1.38
1 1.22
xG Accuracy: 85%
Forest Green Forest Green

The model missed the final outcome (Draw 1–1).

The model had projected Carlisle at 39.0%, 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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Carlisle Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Carlisle higher than the statistical model.

Largest probability gap: Carlisle -9.3 pp

Outcome Model Closing Market Difference Signal
Carlisle 39.0% 48.2% -9.3 pp Market Higher
Draw 29.5% 23.9% +5.7 pp Model Higher
Forest Green 31.5% 27.9% +3.6 pp Aligned

The closing market estimates Carlisle's win probability at 48.2%, compared with the model's estimate of 39.0%, a difference of 9.3 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 Draw 1–1.

Market Assessment

The market and model broadly agree on Carlisle. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

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

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 1X2: model leaned Carlisle; match finished Draw

Market lesson

The closing market differed from the model on Carlisle by 9.3 percentage points (48.3% vs model 39.0%) — 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 15, 2026 · 18:44 UTC Forecast generated
    • Model 1X2 · Carlisle 39.0% · Draw 29.5% · Forest Green 31.5%
    • xG · Carlisle 1.38 — Forest Green 1.22
  2. Sep 15, 2026 · 18:16 UTC Opening odds snapshot PRE30
    • 1X2 odds · Carlisle 1.97 · Draw 3.98 · Forest Green 3.41
    • Implied 1X2 · Carlisle 48.2% · Draw 23.9% · Forest Green 27.9%
    • Bookmaker · Pinnacle
  3. Sep 15, 2026 · 18:44 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Carlisle 1.97 · Draw 3.98 · Forest Green 3.41
    • Implied 1X2 · Carlisle 48.2% · Draw 23.9% · Forest Green 27.9%
    • Bookmaker · Pinnacle
  4. Sep 15, 2026 · 18:45 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 53/100
Betting Confidence 77/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 09, 2026 · 02:45 UTC Snapshot ID: dp-7705713

Closing Odds 1.97
AI Fair Odds —
CLV Pending
Final Result Draw · Carlisle 1–1 Forest Green
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: National League
  • Fixture: Carlisle vs Forest Green
  • Kickoff: 2026-09-15 18:45:00
  • 1X2 (model): Home 39.0% · Draw 29.5% · Away 31.5%
  • xG (showing): Carlisle 1.38 — Forest Green 1.22 (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: 38.1% · Probability edge: +13.7 pts · Est. EV: +32.1%
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Totals and BTTS are evaluated against current market prices where available.

Correct score remains high-variance even when a line is most likely on paper.

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 30, 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
National League England. National League Predictions