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⏱ Kickoff 2026-07-10 11:35 UTC · your local time

山东泰山 vs 云南玉昆 — Integrated Analysis and Prediction

[2026 中超联赛 · 第18轮 · 2026-07-10 11:35 UTC · 济南奥体中心体育场, 济南]

Core Takeaway

山东泰山 (home) is a clear favorite (model win probability 58.6%); The goal profile points to an open, higher-scoring game (Over 2.5 around 73%). The 1X2 prices are closely aligned with the model, with no clear value edge.

Base λ 2.41/1.40 → adjusted λ 2.41/1.42 (market-implied λ solve + team data blend) · market λ 2.48/1.36 ⊕ team data λ 1.98/1.64 (market weight 85%, divergence home -0.50/away +0.28) · market 1X2 [1.57, 4.6, 4.6] · O/U2.5 1.3/3.15
Lineup / injury adjustments (included in λ)
  • Rest days home 6 / away 7: home +0.00, away +0.01
  • Manual adjustment: home attack +0.00/home defense +0.00/away attack +0.00/away defense +0.00

Key Data Comparison

Item 山东泰山 (home)云南玉昆 (away)
联赛排名/积分第7,17场8胜3平6负,30:28,21分第4,17场7胜3平7负,31:29,24分
近10战绩4胜2平4负4胜3平3负
近10场均进球2.01.7
近10场均失球1.91.6
射门/射正(场均)14.7 / 4.812.4 / 4.7
被射门/被射正(场均)15.5 / 5.211.7 / 4.7
控球率(场均)49.1%51.2%
角球/被角球(场均)3.7 / 5.64.0 / 5.2
主客场战绩近10主场6胜3平1负,2.3进/1.2失近10客场3胜3平4负,1.6进/1.7失
大小球趋势近10场7场大2.5;近10主场8场大2.5近10场7场大2.5;近10客场7场大2.5
双方进球趋势近10场8场BTTS;近10主场9场BTTS近10场8场BTTS;近10客场9场BTTS
近期结果04/07 客场0-2北京;27/06 客场5-1辽宁铁人;20/06 足协杯5-0广西恒宸03/07 主场2-1河南;26/06 客场2-4青岛海牛;21/06 足协杯4-2苏州东吴
历史交锋2026-03-21 客场0-4负;2025主场1-1近3次对山东2胜1平,2026首回合4-0胜
关键球员克雷桑近样本8球4助,泽卡4球,马德鲁加3球奥斯卡·塔蒂·马里图7球,克莱伯4球;叶楚贵/克莱伯等有助攻
伤停/疑点上轮十人输球后防守纪律和轮换压力是变量近4场联赛均有失球,客场连续3场不胜

Market Predictions

MarketMy estimate Market impliedLean / value
1X2Home 58.6% / Draw 20.5% / Away 20.9%61.5% / 19.3% / 19.3%Away win is slightly high +1.6pp
Asian handicap -1.5 (home cover)38.3%comparison only
Double chance 1X79.1%conservative lean (fair 1.26)
Over/Under 2.573.5%73.7%aligned with market
Over/Under 1.590.2%comparison only
Both teams to score (BTTS)69.6%leans Yes
Most likely score2-1 (9.0%)then 1-1, 3-1

O/U reading: The model gives P(0-1 goals)=9.8%, P(exactly 2 goals)=16.7%, and P(3+ goals)=73.5%. The lean is to Over, but exactly two goals is still live, so it should not be treated as safe.

Model Summary

The single most likely score is 2-1 (about 9.0%), followed by 1-1, 3-1.

2-19.0%
1-18.2%
3-17.2%
2-26.4%
2-06.3%

Value list (sorted by confidence, decimal odds)

  • ConservativeDouble chance 1X — model 79.1%, downside protectedfair 1.26
  • BalancedOver 2.5 — model 73.5%, directional leanfair 1.36
  • AggressiveYes · BTTS — model 69.6%fair 1.44

Risk Notes

  • The data-side and market-side λ estimates diverge materially (home -0.50 / away +0.28 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.
  • Injuries, rotation, weather, pitch conditions, and other off-field factors are not fully priced in.
  • 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.

Match Picks · Confidence Index

1X2
Balanced
Home win
★★★★★
BTTS
Conservative
Yes
★★★★
O/U
Conservative
Over 2.5
★★★★★
Most likely score
Reference
2-1
★★★★

Confidence index: 5★ strongest, 1★ weakest. Ratings reflect model probability strength only and are not guarantees.

More match analysis

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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