預測 / 足球 / 世界. 女子歐洲聯賽 / 布倫德比 vs 里斯本競技女足

預測審核: 布倫德比 vs 里斯本競技女足 預測、賠率與AI投注建議

Sep 23, 2026 - 16:00
4 1.29
1 1.31
xG Accuracy: 44%

The model missed the final outcome (布倫德比 win 4–1).

The model had projected 里斯本競技女足 at 35.6%, but the full-time result went the other way.

追蹤市場與全場比賽結果

預測評級 F

每行比較賽前模型傾向與全場比賽結果。

  • 市場 預測 結果 結果
  • 大小球2.5 小於2.5球 大於2.5球 (5 進球) ✖ 錯誤
  • 雙方進球 雙方進球 (BTTS) 否 是 ✖ 錯誤
  • 1X2 里斯本競技女足 布倫德比 ✖ 錯誤
  • 波膽洞察 1-1, 0-1, 1-0, 1-2, 2-1 4-1 ✖ 錯誤

模型與收盤市場

Moderate Disagreement

The closing market prices 里斯本競技女足 higher than the statistical model.

最大概率差距: 里斯本競技女足 -5.9 pp

結果 模型 收盤市場 差異 信號
布倫德比 34.7% 32.8% +1.9 pp Aligned
Draw 29.6% 25.7% +4.0 pp Aligned
里斯本競技女足 35.6% 41.5% -5.9 pp Market Higher

The closing market estimates 里斯本競技女足's win probability at 41.5%, compared with the model's estimate of 35.6%, a difference of 5.9 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.

全場比賽結束後,結果為 布倫德比 win 4–1。

Market Assessment

The market and model broadly agree on 里斯本競技女足. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

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

赛后洞察

有效之处

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

失误之处

  • 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 (5 goals)

市场启示

The closing market differed from the model on 里斯本競技女足 by 5.9 percentage points (41.5% vs model 35.6%) — in this case the market view proved closer.

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預測時間線

此預測如何從預測轉變為全場回顧。

  1. Sep 23, 2026 · 15:59 UTC Forecast generated
    • Model 1X2 · 布倫德比 34.7% · Draw 29.7% · 里斯本競技女足 35.6%
    • xG · 布倫德比 1.29 — 里斯本競技女足 1.31
  2. Sep 23, 2026 · 15:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · 布倫德比 2.71 · Draw 3.46 · 里斯本競技女足 2.14
    • Implied 1X2 · 布倫德比 32.8% · Draw 25.7% · 里斯本競技女足 41.5%
    • Bookmaker · Pinnacle
  3. Sep 23, 2026 · 15:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · 布倫德比 2.71 · Draw 3.46 · 里斯本競技女足 2.14
    • Implied 1X2 · 布倫德比 32.8% · Draw 25.7% · 里斯本競技女足 41.5%
    • Bookmaker · Pinnacle
  4. Sep 23, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result 布倫德比 win · 4–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

歷史快照

開賽時凍結 — 模型在比賽開始前的輸出。

歷史判決: Observe
歷史決策 No Primary Bet
結果 Missed
賽前指標(歷史背景)
預測可靠性 76/100 · High
  • Validation: Pass
證據 ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 70/100
Betting Confidence 79/100

验证报告

Immutable Snapshot

预测时间: Sep 17, 2026 · 01:30 UTC 快照 ID: dp-9165171

收盘赔率 2.14
AI 公平赔率 —
CLV 待定
最终赛果 布倫德比 win · 布倫德比 4–1 里斯本競技女足
预测结果 ✖ Missed
决策评级 F

模型绩效

本场预测计入:

  • Primary Bets ROI (180d): -100.0%

回顧常見問題

預測的準確性如何?
本頁面評估方向性市場(1X2、大小球 2.5、雙方進球)與全場比賽結果的對應情況。預測評級反映了這些追蹤市場中有多少與實際結果相符。
xG 準確性測量什麼?
xG 準確性比較模型賽前的預期進球數與實際比分 — 而非每個市場是否命中。即使方向性回顧表現強勁,xG 準確性得分也可能中等。
為什麼未能預測精確比分?
即使模型對比賽輪廓的解讀良好,精確比分的結果仍屬於低概率事件。我們會突出顯示主要的比分範圍作為參考;未命中精確賠率線並不會否定方向性回顧。
這是否改善了 AI 的記錄?
每場完成的比賽都會記錄在我們的驗證流程中。彙總的命中率和 CLV 研究會另行發布 — 本頁面為逐場比賽的審核記錄。

預測僅供參考。請負責任地投注並量力而行。過去的表現不保證未來的結果。

AI 比賽簡報

AI 比賽摘要

Pre-match snapshot for this fixture.

  • League: 女子歐洲聯賽
  • Fixture: 布倫德比 vs 里斯本競技女足
  • Kickoff: 2026-09-23 16:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): 布倫德比 1.29 — 里斯本競技女足 1.31 (total xG ≈ 2.6)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 51.8% · Implied: 44.8% · Probability edge: +7.0 pts · Est. EV: +11.4%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

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.

歷史推薦

歷史決策: No Primary Bet

結果: Missed — Pre-match 1X2 lean did not match the full-time result.

開賽前考慮的風險因素

  • 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%).

最後更新

September 29, 2026 (UTC)

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