波希米亚人 vs 圣约瑟夫 — Integrated Analysis and Prediction
Core Takeaway
波希米亚人 (home) is a clear favorite (model win probability 83.6%); The goal profile points to an open, higher-scoring game (Over 2.5 around 57%). On the 1X2 market, Draw has a small positive edge of +4.9pp.
- Manual adjustment: home attack +0.00/home defense +0.00/away attack +0.00/away defense +0.00
Key Data Comparison
| Item | 波希米亚人 (home) | 圣约瑟夫 (away) |
|---|---|---|
| 赛事阶段 | 欧协联资格赛第一轮首回合，主场 | 欧协联资格赛第一轮首回合，客场 |
| 近期状态(近6) | 4胜0平2负，胜率约67% | 2胜2平2负(含欧战/国内)，国内总样本强 |
| 联赛/国内样本 | 爱超前列；Football Whispers 称近3连胜、排名第2 | Forebet 国内样本 20胜6平5负 |
| 近期场均进球 | 1.8 | 1.6 |
| 近期场均失球 | 1.0 | 1.1 |
| 主客场战绩 | 近主场波动，最近主场2-0胜圣帕特里克 | 近6客场3胜但也有3负 |
| 历史交锋 | 无正式交锋记录 | 无正式交锋记录 |
| 盘口/市场 | 主胜低至1.10，-2.5让球为主要分歧点 | 客胜16.00，市场定位明显弱势 |
| 关键球员 | Patrick Hickey 可回归，前场压迫和定位球是优势 | 依赖防守反击，客场需控制失球 |
| 伤停/疑点 | 暂无明确缺阵；Patrick Hickey 回归可选 | 暂无可靠公开伤停 |
Market Predictions
| Market | My estimate | Market implied | Lean / value |
|---|---|---|---|
| 1X2 | Home 83.6% / Draw 13.0% / Away 3.5% | 88.8% / 8.1% / 3.1% | Draw is slightly high +4.9pp |
| Asian handicap -1.5 (home cover) | 62.9% | — | comparison only |
| Double chance 1X | 96.5% | — | conservative lean (fair 1.04) |
| Over/Under 2.5 | 57.4% | 58.1% | aligned with market |
| Over/Under 1.5 | 80.4% | — | comparison only |
| Both teams to score (BTTS) | 31.4% | — | leans No |
| Most likely score | 2-0 (16.8%) | — | then 3-0, 1-0 |
O/U reading: The model gives P(0-1 goals)=19.6%, P(exactly 2 goals)=23.0%, and P(3+ goals)=57.4%. 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 2-0 (about 16.8%), followed by 3-0, 1-0.
Value list (sorted by confidence, decimal odds)
- ConservativeDouble chance 1X — model 96.5%, downside protectedfair 1.04
- BalancedOver 2.5 — model 57.4%, directional leanfair 1.74
- AggressiveNo · BTTS — model 68.6%fair 1.46
Risk Notes
- The data-side and market-side λ estimates diverge materially (home -1.16 / away +0.91 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.
- 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.
Match Picks · Confidence Index
Confidence index: 5★ strongest, 1★ weakest. Ratings reflect model probability strength only and are not guarantees.