Predictions / Football / World. Friendlies Clubs / Rosenborg vs Manchester United

Prediction Audit: Rosenborg vs Manchester United Prediction, Odds & AI Betting Tips

Rosenborg Rosenborg
Jul 24, 2026 - 16:00
0 1.30
5 1.30
xG Accuracy: 25%
Manchester United Manchester United

The model missed the final outcome (Manchester United win 0–5).

The model had projected Rosenborg at 35.2%, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Rosenborg Manchester United ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-5 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Manchester United higher than the statistical model.

Largest probability gap: Manchester United -24.3 pp

Outcome Model Closing Market Difference Signal
Rosenborg 35.2% 19.9% +15.3 pp Model Edge
Draw 29.6% 20.6% +9.0 pp Model Higher
Manchester United 35.2% 59.5% -24.3 pp Market Higher

The closing market estimates Manchester United's win probability at 59.5%, compared with the model's estimate of 35.2%, a difference of 24.3 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: PRE1.

After full time, the result was Manchester United win 0–5.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 5 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)

Market lesson

The closing market differed from the model on Rosenborg by 24.3 percentage points (59.5% vs model 35.2%) — 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. Jul 24, 2026 · 19:46 UTC Forecast generated
    • Model 1X2 · Rosenborg 35.2% · Draw 29.6% · Manchester United 35.2%
    • xG · Rosenborg 1.30 — Manchester United 1.30
  2. Jul 24, 2026 · 15:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Rosenborg 4.60 · Draw 4.44 · Manchester United 1.54
    • Implied 1X2 · Rosenborg 19.9% · Draw 20.6% · Manchester United 59.5%
    • Bookmaker · Pinnacle
  3. Jul 24, 2026 · 16:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Rosenborg 4.60 · Draw 4.44 · Manchester United 1.54
    • Implied 1X2 · Rosenborg 19.9% · Draw 20.6% · Manchester United 59.5%
    • Bookmaker · Pinnacle
  4. Jul 24, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Manchester United win · 0–5
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 51/100 · Moderate
  • Validation: Warning
  • Large market gap (24 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:55 UTC Snapshot ID: dp-1452993

Closing Odds 1.54
AI Fair Odds —
CLV Pending
Final Result Manchester United win · Rosenborg 0–5 Manchester United
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: Club Friendlies
  • Fixture: Rosenborg vs Manchester United
  • Kickoff: 2026-07-24 16:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Rosenborg 1.3 — Manchester United 1.3 (total xG ≈ 2.6)
  • 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

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Wait

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 29, 2026 (UTC)

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