Serie A
UTC+8 2026-04-05 21:00
Status
Not Started
Venue
Stadio Giovanni Zini · Cremona
Serie A · 2025
Standings
#17
Samples 30
Season Record
6-9-15
Home/Away 25/44
Recent Form
Recent Matches
-
Injuries
No published injury data
Standings
#9
Samples 30
Season Record
12-6-12
Home/Away 38/36
Recent Form
Recent Matches
-
Injuries
No published injury data
Home
3.40
EV -9.63%
Draw
3.30
EV +3.82%
Away
2.20
EV -7.69%
Line: 0.00 ·Home 1.90 ·Away 1.90
AH +0: push possible on exact handicap margin.
Line 1.5 · O1.5
Over: 76.3% (2.20) · EV +67.82%
Under: 23.7% (1.62) · EV -61.58%
Confidence: 5.7/10
Line 2.5 · O2.5
Over: 52.2% (5.00) · EV +161.04%
Under: 47.8% (1.17) · EV -44.08%
Confidence: 4.5/10
主概率42%;优势差10%;与市场主方向一致
无明显信号
Updated: 2026-04-05 11:29
This Serie A clash between Cremonese and Bologna presents an intriguing match-up, analyzed through the lens of our statistical model and juxtaposed with current market odds. The model gives Bologna the upper hand, predicting an away win with a 45.3% probability, while Cremonese winning at home is estimated at 24.0%, and a draw at 30.7%.
Comparing these probabilities to the market odds (Home: 3.60, Draw: 3.40, Away: 2.05) reveals potential value discrepancies. The Expected Value (EV) calculation further clarifies this. A positive EV suggests a potential value bet, while a negative EV indicates the odds might be unfavorable.
Specifically, the draw stands out with an EV of 4.424. This suggests that the market odds for a draw (3.40) are offering slightly better value than implied by our model's probability (30.7%). While this value is not exceedingly high, it represents the best opportunity among the standard 1X2 options. Conversely, backing Cremonese or Bologna to win shows negative expected value, suggesting poor value in those bets given the model's assessment.
The model's confidence score is relatively low (44.619), categorized as "LOW," implying that the predicted probabilities should be interpreted cautiously. This lower confidence stems from the inherent unpredictability of football and the limitations of relying solely on statistical models. Factors like team form, injuries, and tactical adjustments (not explicitly captured in the model) can significantly influence match outcomes.
Interestingly, despite the underwhelming confidence in the 1X2 market, the model highlights a pronounced positive expected value in the total goals market (over 2.5 goals), showing an EV of 173.532. Usually, such a high EV would constitute a strong signal; however, the accompanying note, "无明显信号", casts doubt – possibly because the model finds that the conditions that resulted this time could be spurious, and therefore the market has a very low confidence about the possibility of the result being correct. Considering the high EV, and depending on risk profile, this potential bet may merit deeper exploration, investigating current team form and recent goal-scoring trends.
The model reasoning supporting Bologna's win is concise: it highlights their 45% win probability, a 15% advantage over Cremonese, and alignment with market sentiment. This convergence suggests Bologna are statistically favored and the market reflects this advantage.
In conclusion, the draw offers a slight value bet opportunity in the 1X2 market, while the over 2.5 goals presents a much great EV. However, both have some question marks over them. The draw is a marginal position, due to the lower confidence rating, while the goals market is a case of high EV, but with a very low signal. Given the confidence and signal issues, a conservative approach focused on understanding both team dynamics might be the most prudent path forward.
Updated: 2026-04-03 23:29