預測 / 足球 / 南韓. FA Cup / 巨濟市民 vs Incheon Seogot

預測審核: 巨濟市民 vs Incheon Seogot 預測、賠率與AI投注建議

Jul 05, 2026 - 09:00
4 1.32
0 1.28
xG Accuracy: 34%

AI correctly predicted the 巨濟市民 win.

The match finished 4–0, validating the model's directional assessment.

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 (4 進球) ✖ 錯誤
  • 雙方進球 雙方進球 (BTTS) 是 否 ✖ 錯誤
  • 1X2 巨濟市民 巨濟市民 ✔ 正確
  • 波膽洞察 1-1, 1-0, 0-1, 2-1, 1-2 4-0 ✖ 錯誤

模型與收盤市場

Strong Disagreement

The closing market prices 巨濟市民 higher than the statistical model.

最大概率差距: 巨濟市民 -42.7 pp

結果 模型 收盤市場 差異 信號
巨濟市民 43.0% 85.7% -42.7 pp Market Higher
Draw 23.5% 10.0% +13.5 pp Model Edge
Incheon Seogot 33.5% 4.3% +29.2 pp Model Edge

The closing market estimates 巨濟市民's win probability at 85.7%, compared with the model's estimate of 43.0%, a difference of 42.7 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,模型的方向性偏向與結果一致(巨濟市民 win 4–0)。

赛后洞察

有效之处

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised

失误之处

  • 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 (4 goals)

市场启示

Large model–market gaps do not automatically mean the market is right. Here the closing market priced 巨濟市民 higher (85.7% vs model 43.0%, 42.7 pp), but the model's lean was validated (巨濟市民 win 4–0).

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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 05, 2026 · 19:21 UTC Forecast generated
    • Model 1X2 · 巨濟市民 43.1% · Draw 23.5% · Incheon Seogot 33.4%
    • xG · 巨濟市民 1.32 — Incheon Seogot 1.28
  2. Jul 05, 2026 · 08:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · 巨濟市民 1.05 · Draw 9.00 · Incheon Seogot 21.00
    • Implied 1X2 · 巨濟市民 85.7% · Draw 10.0% · Incheon Seogot 4.3%
    • Bookmaker · Bet365
  3. Jul 05, 2026 · 08:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · 巨濟市民 1.05 · Draw 9.00 · Incheon Seogot 21.00
    • Implied 1X2 · 巨濟市民 85.7% · Draw 10.0% · Incheon Seogot 4.3%
    • Bookmaker · Bet365
  4. Jul 05, 2026 · 09:00 UTC Kickoff
  5. FT Full-time result 巨濟市民 win · 4–0
  6. FT Prediction validated Directional lean matched 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: Cautious / Wait

歷史標籤: Originally displayed as "Wait for validation".

歷史決策 Wait
結果 Validated
賽前指標(歷史背景)
預測可靠性 28/100 · Low
  • Validation: Fail
  • Large market gap (43 pp)
證據 ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 8/100

验证报告

Immutable Snapshot

预测时间: Jul 24, 2026 · 15:34 UTC 快照 ID: dp-1612925

收盘赔率 1.05
AI 公平赔率 —
CLV 待定
最终赛果 巨濟市民 win · 巨濟市民 4–0 Incheon Seogot
预测结果 ✔ Correct
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

Model favours 巨濟市民; market prices 巨濟市民 instead — inputs may be missing or stale.

  • Model: 巨濟市民 1.32 xG vs Incheon Seogot 1.28 → 巨濟市民 43.0%
  • Market: 巨濟市民 ~85.7% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

歷史推薦

歷史決策: Wait

結果: Validated — Pre-match lean validated against 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

October 06, 2026 (UTC)

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