Predictions / Football / Norway. Eliteserien / Brann vs Rosenborg

Prediction Audit: Brann vs Rosenborg Prediction, Odds & AI Betting Tips

Brann Brann
Aug 02, 2026 - 17:15
3 1.58
2 1.51
xG Accuracy: 59%
Rosenborg Rosenborg

AI correctly predicted the Brann win.

The match finished 3–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Brann Brann ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-2, 1-0, 0-1 3-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Brann higher than the statistical model.

Largest probability gap: Brann -6.5 pp

Outcome Model Closing Market Difference Signal
Brann 40.7% 47.2% -6.5 pp Market Higher
Draw 26.2% 24.4% +1.8 pp Aligned
Rosenborg 33.1% 28.4% +4.7 pp Aligned

The closing market estimates Brann's win probability at 47.2%, compared with the model's estimate of 40.7%, a difference of 6.5 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 model's directional lean matched the result (Brann win 3–2).

Market Assessment

The market and model broadly agree on Brann. 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

  • Expected goals projected a high-scoring match (ΣxG 3.09) — 5 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Brann higher (47.2% vs model 40.7%, 6.5 pp), but the model's lean was validated (Brann win 3–2).

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Prediction Timeline

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

  1. Aug 02, 2026 · 19:20 UTC Forecast generated
    • Model 1X2 · Brann 40.6% · Draw 26.2% · Rosenborg 33.1%
    • xG · Brann 1.58 — Rosenborg 1.51
  2. Aug 02, 2026 · 16:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Brann 2.05 · Draw 3.94 · Rosenborg 3.41
    • Implied 1X2 · Brann 47.1% · Draw 24.5% · Rosenborg 28.3%
    • Bookmaker · Pinnacle
  3. Aug 02, 2026 · 17:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Brann 2.05 · Draw 3.96 · Rosenborg 3.41
    • Implied 1X2 · Brann 47.2% · Draw 24.4% · Rosenborg 28.4%
    • Bookmaker · Pinnacle
  4. Aug 02, 2026 · 17:15 UTC Kickoff
  5. FT Full-time result Brann win · 3–2
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 67/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 01:45 UTC Snapshot ID: dp-1953431

Closing Odds 2.05
AI Fair Odds —
CLV Pending
Final Result Brann win · Brann 3–2 Rosenborg
Prediction ✔ Correct
Decision Grade A

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: Eliteserien
  • Fixture: Brann vs Rosenborg
  • Kickoff: 2026-08-02 17:15:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): Brann 1.58 — Rosenborg 1.51 (total xG ≈ 3.09)
  • 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

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: 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 24, 2026 (UTC)

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Eliteserien Eliteserien — Standings
# TEAM MP W D L PTS
1 Bodo/Glimt 20 16 2 2 50
2 Viking 20 15 2 3 47
3 Molde 21 11 3 7 36
4 Tromso 20 10 5 5 35
5 Rosenborg 21 10 3 8 33
6 Lillestrom 20 10 2 8 32
7 Fredrikstad 20 8 3 9 27
8 Brann 20 8 2 10 26
9 Sarpsborg 08 FF 21 6 7 8 25
10 KFUM Oslo 21 7 4 10 25
11 Ham-Kam 20 6 5 9 23
12 Valerenga 20 6 4 10 22
13 Aalesund 21 4 9 8 21
14 Sandefjord 20 5 5 10 20
15 Kristiansund BK 21 5 4 12 19
16 Start 20 4 4 12 16
# TEAM MP GS GC +/- PTS
1 Bodo/Glimt 20 52 17 +35 50
2 Viking 20 51 20 +31 47
3 Molde 21 44 32 +12 36
4 Rosenborg 21 39 30 +9 33
5 Tromso 20 37 27 +10 35
6 Brann 20 37 31 +6 26
7 Valerenga 20 33 42 -9 22
8 Aalesund 21 33 46 -13 21
9 Lillestrom 20 28 26 +2 32
10 Ham-Kam 20 27 41 -14 23
11 KFUM Oslo 21 25 35 -10 25
12 Sarpsborg 08 FF 21 24 29 -5 25
13 Fredrikstad 20 24 31 -7 27
14 Start 20 22 41 -19 16
15 Kristiansund BK 21 21 40 -19 19
16 Sandefjord 20 18 27 -9 20
# TEAM MP xG xGC +/- PTS
1 Molde 21 17.3 5.4 +11.9 36
2 Bodo/Glimt 20 15.3 4.9 +10.4 50
3 Viking 20 14.1 9.9 +4.2 47
4 Rosenborg 21 13.0 9.7 +3.3 33
5 Start 20 10.6 8.7 +1.9 16
6 Brann 20 8.6 7.3 +1.3 26
7 Sarpsborg 08 FF 21 11.8 11.0 +0.8 25
8 Tromso 20 7.4 7.7 -0.3 35
9 Lillestrom 20 10.1 11.1 -1.0 32
10 Valerenga 20 12.6 14.4 -1.8 22
11 Fredrikstad 20 9.0 12.2 -3.2 27
12 Sandefjord 20 7.1 11.3 -4.2 20
13 Kristiansund BK 21 6.7 11.2 -4.5 19
14 Ham-Kam 20 6.8 12.0 -5.2 23
15 Aalesund 21 9.6 14.9 -5.3 21
16 KFUM Oslo 21 7.6 15.7 -8.1 25