統計 / 足球 / 美國. USL League Two / Fort Lauderdale United vs Southern Soccer Academy

Fort Lauderdale United vs Southern Soccer Academy Statistics & Analysis

Fort Lauderdale United Fort Lauderdale United
Jul 16, 2026 - 20:00
4 1.44
0 1.16
xG Accuracy: 36%
Southern Soccer Academy Southern Soccer Academy
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

追蹤市場與全場比賽結果

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 Fort Lauderdale United Fort Lauderdale United ✔ 正確
  • 波膽洞察 1-1, 1-0, 2-1, 0-1, 2-0 4-0 ✖ 錯誤

验证报告

Immutable Snapshot

预测时间: Jul 24, 2026 · 17:55 UTC 快照 ID: dp-1622477

收盘赔率 待定
AI 公平赔率 —
CLV 待定
最终赛果 Fort Lauderdale United win · Fort Lauderdale United 4–0 Southern Soccer Academy
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%

AI 比賽簡報

AI 比賽摘要

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: USL League Two
  • Fixture: Fort Lauderdale United vs Southern Soccer Academy
  • Kickoff: 2026-07-16 20:00:00
  • 1X2 (model): Home 41.9% · Draw 29.3% · Away 28.8%
  • xG (showing): Fort Lauderdale United 1.44 — Southern Soccer Academy 1.16 (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): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.0% · No 46.0%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.0% · No 46.0%
  • Correct score (top bin): 1-1 (12.4%)

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: No Primary Bet

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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