預測 / 足球 / 葡萄牙. 葡萄牙盃 / 卡馬查 vs 弗洛格拉德

預測審核: 卡馬查 vs 弗洛格拉德 預測、賠率與AI投注建議

Sep 27, 2026 - 14:00
0 1.30
1 1.30
xG Accuracy: 64%

The model missed the final outcome (弗洛格拉德 win 0–1).

The model had projected 卡馬查 at 35.2%, 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 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 卡馬查 弗洛格拉德 ✖ 錯誤
  • 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

Moderate Disagreement

The model rates 弗洛格拉德 considerably stronger than the closing betting market.

最大概率差距: 弗洛格拉德 +6.3 pp

結果 模型 收盤市場 差異 信號
卡馬查 35.2% 39.1% -3.9 pp Aligned
Draw 29.6% 32.0% -2.4 pp Aligned
弗洛格拉德 35.2% 28.9% +6.3 pp Model Higher

The statistical model estimates 弗洛格拉德's win probability at 35.2%, compared with the closing market's implied probability of 28.9%, a difference of 6.3 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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,結果為 弗洛格拉德 win 0–1。

Market Assessment

The fair estimate shows a modest edge over current market pricing on 弗洛格拉德.

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

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

The closing market differed from the model on 卡馬查 by 6.3 percentage points (28.9% vs model 35.2%) — in this case the market view proved closer.

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 27, 2026 · 13:59 UTC Forecast generated
    • Model 1X2 · 卡馬查 35.2% · Draw 29.6% · 弗洛格拉德 35.2%
    • xG · 卡馬查 1.30 — 弗洛格拉德 1.30
  2. Sep 27, 2026 · 13:35 UTC Opening odds snapshot PRE30
    • 1X2 odds · 卡馬查 1.92 · Draw 2.91 · 弗洛格拉德 3.83
    • Implied 1X2 · 卡馬查 46.3% · Draw 30.5% · 弗洛格拉德 23.2%
    • Bookmaker · Pinnacle
  3. Sep 27, 2026 · 13:59 UTC Closing snapshot recorded PRE5
    • 1X2 odds · 卡馬查 2.30 · Draw 2.81 · 弗洛格拉德 3.11
    • Implied 1X2 · 卡馬查 39.1% · Draw 32.0% · 弗洛格拉德 28.9%
    • Bookmaker · Pinnacle
  4. Sep 27, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result 弗洛格拉德 win · 0–1
  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
Pricing proximity (inverse gap) 68/100
Betting Confidence 79/100

验证报告

Immutable Snapshot

预测时间: Sep 21, 2026 · 01:50 UTC 快照 ID: dp-10099602

收盘赔率 3.11
AI 公平赔率 —
CLV 待定
最终赛果 弗洛格拉德 win · 卡馬查 0–1 弗洛格拉德
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: 葡萄牙盃
  • Fixture: 卡馬查 vs 弗洛格拉德
  • Kickoff: 2026-09-27 14:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): 卡馬查 1.3 — 弗洛格拉德 1.3 (total xG ≈ 2.6)
  • Primary / headline line (Betting Primary Pick when shown): BTTS Yes
  • Model: 54.5% · Implied: 45.2% · Probability edge: +9.3 pts · Est. EV: +14.4%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Totals and BTTS are evaluated against current market prices where available.

Correct score remains high-variance even when a line is most likely on paper.

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 28, 2026 (UTC)

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