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⏱ Kickoff 2026-07-10 19:00 UTC · your local time

Spain vs Belgium — Integrated Analysis and Prediction

[2026 FIFA World Cup · Quarter-finals · 2026-07-10 19:00 UTC · Los Angeles Stadium (SoFi Stadium), Inglewood, CA]
Primary directionHome win60.0%
Goal outlookOver 2.554.8%
ActionNo BetMarket-implied and data-side λ differ by at least 0.25 goals and the disagreement has not been verified.

Core Takeaway

Spain (home) is a clear favorite (model win probability 60.0%); The total-goals expectation is neutral. The 1X2 prices are closely aligned with the model, with no clear value edge. That numerical lean is not promoted to a value recommendation: No Bet.

Model details and input adjustmentsForecast snapshot time · 2026-07-10T13:05:00Z
Base λ 1.91/1.04 → adjusted λ 1.94/0.93 (market-implied λ solve[1X2+O/U 2.5+AH -1+BTTS] + team data blend) · market λ 1.93/0.93 ⊕ team data λ 1.75/1.65 (market weight 85%, divergence home -0.18/away +0.72) · market 1X2 [1.65, 4.04, 5.92] · O/U2.5 1.73/2.0
Lineup / injury adjustments (included in λ)
  • 比利时 missing 阿马杜·奥纳纳(midfielder·important):attack -0.06, weaker defense adds to opponent +0.04
  • 比利时 missing 泽诺·德巴斯特(defender·squad):attack +0.00, weaker defense adds to opponent +0.04
  • Rest days home 3 / away 3: home -0.04, away -0.04
  • Manual adjustment: home attack +0.00/home defense +0.00/away attack +0.00/away defense +0.00

Key Data Comparison

Item Spain (home)Belgium (away)
开球时间北京时间 7月11日 03:00 / UTC 7月10日 19:00北京时间 7月11日 03:00 / UTC 7月10日 19:00
近5次交锋西班牙 5胜0平0负(含 16年客场 2-0、09年主场 5-0)比利时 0胜0平5负,近5次交锋未尝胜绩
本届世界杯近5场4胜1平,9进0失(连续零封)2胜3平,12进5失
近10场正式比赛8胜2平0负6胜4平0负
近10场进/失球27/2,场均 2.70/0.2031/8,场均 3.10/0.80
近10场(球探含友谊赛)6胜4平0负,18进4失6胜4平0负,32进8失
上一场首发平均评分6.85(罗德里 7.4 / 亚马尔 7.2)7.04(德凯特拉雷 8.5 / 拉斯金 7.6)
近10场射门/射正20.2 / 7.718.6 / 7.5
控球率66.0%60.7%
角球/被角球7.6 / 2.17.9 / 3.3
淘汰赛路径1-0 葡萄牙;3-0 奥地利4-1 美国;3-2 塞内加尔
门将状态Unai Simon 5场世界杯仅需 6 次扑救Thibaut Courtois 近10场 3 次零封
关键球员Mikel Oyarzabal 近10场 9球;Mikel Merino 6球;Lamine Yamal 右路核心Kevin De Bruyne 近10场 5球;Charles De Ketelaere/Jeremy Doku 各4球
伤停/疑点暂无缺阵奥纳纳(十字韧带撕裂)、泽诺·德巴斯特(身体不适)缺阵
盘口走势(球探)亚盘 半球/一球 → 一球(15家 升10/降0,高水12)大小 2.5 → 2.5/3(17家 升8/降0)
盘口摘要1X2 1.65/4.04/5.92(Pinnacle);亚盘一球 2.03/1.86(Crown)大2.5 1.73(威廉希尔);BTTS 是 1.75 / 否 1.97

Market Predictions

MarketMy estimate Market impliedLean / value
1X2Home 60.0% / Draw 23.6% / Away 16.5%59.9% / 23.9% / 16.2%aligned with market
Asian handicap -1.5 (home cover)36.6%comparison only
Double chance 1X83.5%directional lean
Over/Under 2.554.8%54.1%aligned with market
Over/Under 1.579.1%comparison only
Both teams to score (BTTS)52.9%53.3%aligned with market
Most likely score1-1 (11.2%)then 2-0, 1-0

O/U reading: The model gives P(0-1 goals)=20.9%, P(exactly 2 goals)=24.4%, and P(3+ goals)=54.8%. Over and Under are close to a coin flip, so passing is reasonable.

Model Summary

Spain (home) is a clear favorite (model win probability 60.0%); The total-goals expectation is neutral. The 1X2 prices are closely aligned with the model, with no clear value edge. That numerical lean is not promoted to a value recommendation: No Bet.

The single most likely score is 1-1 (about 11.2%), followed by 2-0, 1-0.

Evidence:近10场射门/射正: Spain 20.2 / 7.7 / Belgium 18.6 / 7.5。

Market-implied and data-side λ differ by at least 0.25 goals and the disagreement has not been verified.

Recent market movement: home-win implied 59.9% -> 59.4% (-0.4pp); away-win implied 16.2% -> 16.3% (+0.2pp); Over 2.5 54.1% -> 53.4% (-0.7pp). The price move reflects a shift in market consensus. Based on 3 pre-match snapshots, across 2 provider set(s). The data-side and market-side λ estimates diverge materially (home -0.18 / away +0.72 goals): this may reflect information not yet priced in, stale data, or a measurement issue; verify before acting.

1-111.2%
2-010.7%
1-010.0%
2-19.9%
3-06.9%

Value list (sorted by confidence, decimal odds)

No Bet

Market-implied and data-side λ differ by at least 0.25 goals and the disagreement has not been verified.

    Risk Notes

    • The data-side and market-side λ estimates diverge materially (home -0.18 / away +0.72 goals): this may reflect information not yet priced in, stale data, or a measurement issue; verify before acting.
    • λ is reverse-solved from prices, so the model is mostly a reconstruction of market consensus; any edge should be treated cautiously.
    • The supplied injuries and returns are included in λ, but late lineup changes, weather, and pitch conditions can still change the outlook.
    • Cup and qualification ties can become more cautious; if either side sits deeper than expected, Overs and BTTS both suffer.
    • Football is high variance. None of these estimates are guarantees; treat them as probabilities only.

    Disclaimer + Sources

    Odds are de-vigged with the Power method to estimate implied probabilities (correcting favorite-longshot bias); λ is reverse-solved from home win, away win, and Over 2.5 using least squares (solvedMarketLambdas). Model: independent Poisson score matrix with Dixon-Coles low-score adjustment; market probabilities are summed from the score matrix. Team data, injuries, and key scorers are treated as unavailable unless supplied. 4 external source(s) are listed below.

    External data sources

    Match Picks · Confidence Index

    1X2
    Aggressive
    Home win
    ★★★★★
    AH
    Aggressive
    Away +1
    ★★★★★
    BTTS
    Aggressive
    Yes
    ★★★★★
    O/U
    Aggressive
    Over 2.5
    ★★★★★
    Most likely score
    Reference
    1-1
    ★★★★

    Confidence is calibrated to historical hit rates in the same probability band: 5★ strongest, 1★ weakest. It is not a guarantee.

    Result review

    Spain 2–1 Belgium
    1X2
    Aggressive
    Home win
    ★★★★★
    Actual Home win
    ✓ Hit
    AH
    Aggressive
    Away +1
    ★★★★★
    Actual margin +1(push)
    − Push
    BTTS
    Aggressive
    Yes
    ★★★★★
    Actual Yes
    ✓ Hit
    O/U
    Aggressive
    Over 2.5
    ★★★★★
    Actual 3 goals
    ✓ Hit
    Most likely score
    Reference
    1-1
    ★★★★
    Actual 2-1
    ✗ Miss

    More match analysis

    Soccer Prediction
    Soccer Prediction · model probabilities are derived from de-vigged market-implied λ
    All outputs are probability estimates, not betting advice. Football is high variance; read them rationally.Contact