預測 / 足球 / 印尼. 印尼甲級聯賽2 / 佩爾西巴巴里克帕潘 vs 佩爾塞拉拉蒙甘

預測審核： 佩爾西巴巴里克帕潘 vs 佩爾塞拉拉蒙甘 預測、賠率與AI投注建議

佩爾西巴巴里克帕潘 佩爾西巴巴里克帕潘
Sep 19, 2026 - 12:00
0 1.28
1 1.32
xG Accuracy: 64%
佩爾塞拉拉蒙甘 佩爾塞拉拉蒙甘

AI correctly predicted the 佩爾塞拉拉蒙甘 win.

The match finished 0–1, 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 大於2.5球 小於2.5球 (1 進球) ✖ 錯誤
  • 雙方進球 雙方進球 (BTTS) 是 否 ✖ 錯誤
  • 1X2 佩爾塞拉拉蒙甘 佩爾塞拉拉蒙甘 ✔ 正確
  • 波膽洞察 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ 正確

模型與收盤市場

Strong Disagreement

The closing market prices 佩爾塞拉拉蒙甘 higher than the statistical model.

最大概率差距: 佩爾塞拉拉蒙甘 -18.0 pp

結果 模型 收盤市場 差異 信號
佩爾西巴巴里克帕潘 34.2% 18.8% +15.4 pp Model Edge
Draw 29.6% 27.1% +2.6 pp Aligned
佩爾塞拉拉蒙甘 36.1% 54.1% -18.0 pp Market Higher

The closing market estimates 佩爾塞拉拉蒙甘's win probability at 54.1%, compared with the model's estimate of 36.1%, a difference of 18.0 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.

全場比賽結束後，模型的方向性偏向與結果一致（佩爾塞拉拉蒙甘 win 0–1）。

Market Assessment

The market is materially more optimistic about 佩爾塞拉拉蒙甘 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

  • Exact score 0–1 fell within the model's highlighted bins

失误之处

  • 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)

市场启示

Large model–market gaps do not automatically mean the market is right. Here the closing market priced 佩爾塞拉拉蒙甘 higher (54.1% vs model 36.1%, 18.0 pp), but the model's lean was validated (佩爾塞拉拉蒙甘 win 0–1).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

預測時間線

此預測如何從預測轉變為全場回顧。

  1. Sep 19, 2026 · 11:58 UTC Forecast generated
    • Model 1X2 · 佩爾西巴巴里克帕潘 34.2% · Draw 29.7% · 佩爾塞拉拉蒙甘 36.1%
    • xG · 佩爾西巴巴里克帕潘 1.28 — 佩爾塞拉拉蒙甘 1.32
  2. Sep 19, 2026 · 11:36 UTC Opening odds snapshot PRE30
    • 1X2 odds · 佩爾西巴巴里克帕潘 4.75 · Draw 3.30 · 佩爾塞拉拉蒙甘 1.65
    • Implied 1X2 · 佩爾西巴巴里克帕潘 18.8% · Draw 27.1% · 佩爾塞拉拉蒙甘 54.1%
    • Bookmaker · Bet365
  3. Sep 19, 2026 · 11:58 UTC Closing snapshot recorded PRE5
    • 1X2 odds · 佩爾西巴巴里克帕潘 4.75 · Draw 3.30 · 佩爾塞拉拉蒙甘 1.65
    • Implied 1X2 · 佩爾西巴巴里克帕潘 18.8% · Draw 27.1% · 佩爾塞拉拉蒙甘 54.1%
    • Bookmaker · Bet365
  4. Sep 19, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result 佩爾塞拉拉蒙甘 win · 0–1
  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: Monitor
歷史決策 Monitor
結果 Validated
賽前指標（歷史背景）
預測可靠性 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
證據 ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 9/100
Betting Confidence 43/100

验证报告

Immutable Snapshot

预测时间: Sep 14, 2026 · 01:24 UTC 快照 ID: dp-8668058

收盘赔率 1.65
AI 公平赔率 —
CLV 待定
最终赛果 佩爾塞拉拉蒙甘 win · 佩爾西巴巴里克帕潘 0–1 佩爾塞拉拉蒙甘
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

Pre-match snapshot for this fixture.

  • League: 印尼甲級聯賽2
  • Fixture: 佩爾西巴巴里克帕潘 vs 佩爾塞拉拉蒙甘
  • Kickoff: 2026-09-19 12:00:00
  • 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
  • xG (showing): 佩爾西巴巴里克帕潘 1.28 — 佩爾塞拉拉蒙甘 1.32 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

歷史推薦

歷史決策: Monitor

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 01, 2026 (UTC)

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