Reggiana vs Pisa - Free AI Predictions, Betting Tips & Odds

AI predicts Reggiana vs Pisa score, BTTS & O/U odds. See how Andrea Meroni and Matteo Tramoni makes a difference. Chat with AI. Free betting tips bot.

Match Information

Date 12/04/2025
Time 13:00:00
Tournament Serie B - Italy
Reggiana Reggiana
Pisa Pisa

Predictions.GG AI Predictions

HOME 29.1 Confidence Level (%)
DRAW 33.2 Confidence Level (%)
AWAY 46.9 Confidence Level (%)
Predicted Score 1-2
Half-Time Score 0-1

Best Players - Reggiana

  • Andrea Meroni AI Points: 136.58
  • Alessandro Sersanti AI Points: 132.05
  • Antonio Vergara AI Points: 126.75
  • Francesco Bardi AI Points: 110.21
  • Manolo Portanova AI Points: 109.96

Best Players - Pisa

  • Matteo Tramoni AI Points: 157.06
  • Adrian Semper AI Points: 151.83
  • Antonio Caracciolo AI Points: 150.98
  • Stefano Moreo AI Points: 141.18
  • Simone Canestrelli AI Points: 137.12

Emma Thornfield

🎙️ Football podcast host | 🔴 Arsenal till I die | 📻 Broadcasting from Islington | Collecting vintage programme covers since '98

Published at 15/05/2025

MATCH OVERVIEW

Reggiana and Pisa are set to face off in a crucial Serie B match that could have significant implications for their respective campaigns. Reggiana, playing at home, will aim to capitalize on their familiar surroundings to secure a vital win. Meanwhile, Pisa, with a stronger season performance, will look to continue their push towards the top of the table. The match is scheduled for April 12, 2025, at 13:00 GMT, and will be held at Reggiana's home stadium.

ODDS ANALYSIS

The average odds for this match suggest a competitive encounter, with Pisa slightly favored to win. The odds are as follows:

  • Home win: 3.44
  • Draw: 3.06
  • Away win: 2.17

These odds translate to probabilities of approximately:

  • Home win: 29%
  • Draw: 33%
  • Away win: 46%

Given Pisa's stronger form and higher odds, they are expected to have the upper hand, but Reggiana's home advantage could play a crucial role.

TEAM ANALYSIS

Reggiana

Reggiana has had a mixed season, with an average of 1 goal per match and a possession rate of 46.34%. Their defense has been relatively solid, conceding 1.34 goals per game. However, their offensive output has been limited, with only 0.5 assists per match.

Pisa

Pisa has been more prolific in front of goal, averaging 1.63 goals per match. Their defense has been robust, conceding just 0.97 goals per game. Pisa's possession rate is slightly lower at 45.66%, but their attacking efficiency is evident with a higher expected goals rate of 1.68.

Head-to-Head

Historically, Pisa has had the upper hand in this fixture, often outperforming Reggiana in key matches. This trend could continue given their current form.

KEY PLAYERS SPOTLIGHT

Reggiana

  • Luca Vido: Top scorer with 6 goals, crucial for Reggiana's attacking play.
  • Andrea Meroni: Key defensive player with 136.58 points.

Pisa

  • Matteo Tramoni: Leading scorer with 11 goals, pivotal in Pisa's offensive strategy.
  • Adrian Semper: Strong defensive presence with 151.83 points.

STATISTICAL DEEP DIVE

Offensive Metrics

  • Reggiana averages 10.88 shots per game, with 3.69 on target.
  • Pisa averages 11.88 shots per game, with 3.66 on target.

Defensive Metrics

  • Reggiana's interceptions average at 39 per game.
  • Pisa's interceptions are slightly higher at 40.25 per game.

Possession and Passing

  • Reggiana's successful passes rate is 291.03 per game.
  • Pisa's successful passes rate is 269.28 per game.

PREDICTION AND CONCLUSION

Based on the data, Pisa is likely to edge out Reggiana in this encounter. Their superior goal-scoring ability and defensive solidity give them a statistical advantage. However, Reggiana's home advantage and potential for an upset should not be underestimated.

Final Score Prediction

  • Full-time: Reggiana 1-2 Pisa
  • Half-time: Reggiana 0-1 Pisa

Match-winning Factors

  • Pisa's attacking prowess and defensive strength.
  • Reggiana's potential to leverage home advantage.

In conclusion, while Pisa is favored to win, Reggiana's resilience and home support could make this a closely contested match.