Predictions / Football / Sweden. Damallsvenskan / Djurgården vs Rosengård W

Prediction Audit: Djurgården vs Rosengård W Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 12:00
0 2.72
1 2.39
xG Accuracy: 32%

The model missed the final outcome (Rosengård W win 0–1).

The model had projected Djurgården at 46.2%, 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 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Djurgården Rosengård W ✖ Incorrect
  • Correct Score Insights 2-2, 3-2, 2-1, 2-3, 3-1 0-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Draw higher than the statistical model.

Largest probability gap: Draw -9.0 pp

Outcome Model Closing Market Difference Signal
Djurgården 46.2% 39.6% +6.5 pp Model Higher
Draw 19.0% 28.0% -9.0 pp Market Higher
Rosengård W 34.9% 32.4% +2.5 pp Aligned

The closing market estimates Draw's win probability at 28.0%, compared with the model's estimate of 19.0%, a difference of 9.0 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 Rosengård W win 0–1.

Market Assessment

The market and model broadly agree on Draw. 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 failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)

Market lesson

The closing market differed from the model on Djurgården by 9.0 percentage points (55.2% vs model 46.2%) — 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. Sep 05, 2026 · 19:16 UTC Forecast generated
    • Model 1X2 · Djurgården 46.1% · Draw 19.0% · Rosengård W 34.9%
    • xG · Djurgården 2.72 — Rosengård W 2.39
  2. Sep 05, 2026 · 11:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Djurgården 2.31 · Draw 3.27 · Rosengård W 2.83
    • Implied 1X2 · Djurgården 39.6% · Draw 28.0% · Rosengård W 32.4%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 11:56 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Djurgården 2.31 · Draw 3.27 · Rosengård W 2.83
    • Implied 1X2 · Djurgården 39.6% · Draw 28.0% · Rosengård W 32.4%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Rosengård W win · 0–1
  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 62/100 · Moderate
  • Validation: Pass
  • High xG deviation from league baseline (101%+)
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 54/100
Betting Confidence 65/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 01:33 UTC Snapshot ID: dp-6130689

Closing Odds 3.27
AI Fair Odds —
CLV Pending
Final Result Rosengård W win · Djurgården 0–1 Rosengård W
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

Quick read on how the model reads this matchup.

  • League: Damallsvenskan
  • Fixture: Djurgården vs Rosengård W
  • Kickoff: 2026-09-05 12:00:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): Djurgården 2.72 — Rosengård W 2.39 (total xG ≈ 5.11)
  • 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: 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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Damallsvenskan Damallsvenskan — Standings
# TEAM MP W D L PTS
1 Häcken 20 18 1 1 55
2 Hammarby 20 16 2 2 50
3 Malmö FF W 19 10 6 3 36
4 AIK 20 10 4 6 34
5 Kristianstad 20 8 5 7 29
6 Vittsjö 20 8 5 7 29
7 Eskilstuna United 20 8 3 9 27
8 Brommapojkarna W 19 8 2 9 26
9 Piteå W 19 6 5 8 23
10 Djurgården 20 6 3 11 21
11 Växjö 20 5 3 12 18
12 Rosengård W 19 4 5 10 17
13 Norrköping W 20 3 7 10 16
14 Uppsala W 20 1 3 16 6
# TEAM MP GS GC +/- PTS
1 Häcken 20 61 13 +48 55
2 Hammarby 20 49 10 +39 50
3 Malmö FF W 19 38 11 +27 36
4 Kristianstad 20 33 32 +1 29
5 AIK 20 29 27 +2 34
6 Vittsjö 20 27 26 +1 29
7 Brommapojkarna W 19 25 33 -8 26
8 Djurgården 20 25 33 -8 21
9 Piteå W 19 23 28 -5 23
10 Växjö 20 23 40 -17 18
11 Rosengård W 19 20 25 -5 17
12 Eskilstuna United 20 18 25 -7 27
13 Norrköping W 20 17 35 -18 16
14 Uppsala W 20 14 64 -50 6
# TEAM MP xG xGC +/- PTS
1 Hammarby 20 2.9 2.2 +0.7 50
2 AIK 20 2.2 2.9 -0.7 34
3 Häcken 20 — — — 55
4 Malmö FF W 19 — — — 36
5 Kristianstad 20 — — — 29
6 Vittsjö 20 — — — 29
7 Eskilstuna United 20 — — — 27
8 Brommapojkarna W 19 — — — 26
9 Piteå W 19 — — — 23
10 Djurgården 20 — — — 21
11 Växjö 20 — — — 18
12 Rosengård W 19 — — — 17
13 Norrköping W 20 — — — 16
14 Uppsala W 20 — — — 6