預測 / 足球 / 世界. 球會友誼賽 / 羅奇代爾 vs 賴揚

預測審核: 羅奇代爾 vs 賴揚 預測、賠率與AI投注建議

Jul 19, 2026 - 08:30
3 1.37
3 1.23
xG Accuracy: 39%

The model missed the final outcome (Draw 3–3).

The model had projected 賴揚 at 37.2%, 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 (6 進球) ✖ 錯誤
  • 雙方進球 雙方進球 (BTTS) 是 是 ✔ 正確
  • 1X2 賴揚 和局 ✖ 錯誤
  • 波膽洞察 1-1, 1-0, 0-1, 2-1, 1-2 3-3 ✖ 錯誤

模型與收盤市場

Strong Disagreement

The closing market prices 賴揚 higher than the statistical model.

最大概率差距: 賴揚 -12.5 pp

結果 模型 收盤市場 差異 信號
羅奇代爾 36.2% 31.1% +5.1 pp Model Higher
Draw 26.5% 19.2% +7.3 pp Model Higher
賴揚 37.2% 49.7% -12.5 pp Market Higher

The closing market estimates 賴揚's win probability at 49.7%, compared with the model's estimate of 37.2%, a difference of 12.5 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.

全場比賽結束後,結果為 Draw 3–3。

Market Assessment

The market is materially more optimistic about 賴揚 than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

赛后洞察

有效之处

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

失误之处

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
  • 1X2: model leaned 賴揚; match finished Draw

市场启示

The closing market differed from the model on 賴揚 by 12.5 percentage points (49.7% vs model 37.2%) — 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. Jul 19, 2026 · 19:19 UTC Forecast generated
    • Model 1X2 · 羅奇代爾 36.3% · Draw 26.5% · 賴揚 37.2%
    • xG · 羅奇代爾 1.37 — 賴揚 1.23
  2. Jul 19, 2026 · 08:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · 羅奇代爾 2.86 · Draw 4.64 · 賴揚 1.79
    • Implied 1X2 · 羅奇代爾 31.1% · Draw 19.2% · 賴揚 49.7%
    • Bookmaker · Pinnacle
  3. Jul 19, 2026 · 09:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · 羅奇代爾 2.86 · Draw 4.64 · 賴揚 1.79
    • Implied 1X2 · 羅奇代爾 31.1% · Draw 19.2% · 賴揚 49.7%
    • Bookmaker · Pinnacle
  4. Jul 19, 2026 · 08:30 UTC Kickoff
  5. FT Full-time result Draw · 3–3
  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: Monitor
歷史決策 Monitor
結果 Missed
賽前指標(歷史背景)
預測可靠性 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
證據 ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 37/100
Betting Confidence 45/100

验证报告

Immutable Snapshot

预测时间: Jul 24, 2026 · 15:37 UTC 快照 ID: dp-1613213

收盘赔率 1.79
AI 公平赔率 —
CLV 待定
最终赛果 Draw · 羅奇代爾 3–3 賴揚
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

Quick read on how the model reads this matchup.

  • League: Club Friendlies
  • Fixture: 羅奇代爾 vs 賴揚
  • Kickoff: 2026-07-19 08:30:00
  • 1X2 (model): Home 33.0% · Draw 33.0% · Away 33.0%
  • xG (showing): 羅奇代爾 1.37 — 賴揚 1.23 (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

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

歷史推薦

歷史決策: Monitor

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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