伏伊伏丁那 vs 费伦茨瓦罗斯 — Integrated Analysis and Prediction
Core Takeaway
The model gives a modest lean to 费伦茨瓦罗斯 (away); The total-goals expectation is neutral. The 1X2 prices are closely aligned with the model, with no clear value edge.
- 伏伊伏丁那 missing S. Stanisavljević(forward·squad·doubtful):attack -0.03
- Manual adjustment: home attack +0.00/home defense +0.00/away attack +0.00/away defense +0.00
Key Data Comparison
| Item | 伏伊伏丁那 (home) | 费伦茨瓦罗斯 (away) |
|---|---|---|
| 赛事阶段 | 欧联资格赛第一轮首回合，主场 | 欧联资格赛第一轮首回合，客场 |
| 近期/赛季状态 | 近42场26胜；近6主场胜率约67% | Sky 列出近6场5胜1负，近期火力强 |
| 近期场均进球 | 1.8 | 2.0 |
| 近期场均失球 | 1.1 | 1.0 |
| 欧战/强度 | 近年欧战经验相对有限，主场是主要加分 | 欧战经验更足；上季欧联淘汰赛与 Braga、Ludogorets 交手 |
| 最近结果 | 3-0 Novi Pazar；此前客场不敌 OFK Beograd | 3-0 Zalaegerszeg、5-0 Ujpest、2-0 Paks |
| 主客场战绩 | 近6主场4胜左右 | 近6客场3胜，客战能力可用 |
| 历史交锋 | 无近期正式交锋记录 | 无近期正式交锋记录 |
| 盘口/市场 | 主胜2.87，受让但非明显下风 | 客胜2.25，市场轻微倾向客队 |
| 关键球员 | 主场进攻依赖边路推进和定位球 | 进攻端多点得分，近期连续零封胜场 |
| 伤停/疑点 | S. Stanisavljević 背伤存疑 | 暂无可靠公开伤停 |
Market Predictions
| Market | My estimate | Market implied | Lean / value |
|---|---|---|---|
| 1X2 | Home 32.0% / Draw 27.3% / Away 40.7% | 31.6% / 27.1% / 41.2% | aligned with market |
| Asian handicap -1.5 (home cover) | 14.6% | — | comparison only |
| Double chance 1X | 59.3% | — | conservative lean (fair 1.69) |
| Over/Under 2.5 | 53.9% | 54.3% | aligned with market |
| Over/Under 1.5 | 78.7% | — | comparison only |
| Both teams to score (BTTS) | 58.4% | — | leans Yes |
| Most likely score | 1-1 (12.9%) | — | then 1-2, 2-1 |
O/U reading: The model gives P(0-1 goals)=21.3%, P(exactly 2 goals)=24.8%, and P(3+ goals)=53.9%. Over and Under are close to a coin flip, so passing is reasonable.
Model Summary
The single most likely score is 1-1 (about 12.9%), followed by 1-2, 2-1.
Value list (sorted by confidence, decimal odds)
- ConservativeDouble chance X2 — model 68.0%, downside protectedfair 1.47
- BalancedOver 2.5 — model 53.9%, directional leanfair 1.85
- AggressiveYes · BTTS — model 58.4%fair 1.71
Risk Notes
- 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.