Chapecoense-sc vs Sao Paulo Predictions & AI Betting Tips

This Serie A fixture pits bottom-placed Chapecoense-sc (20th, 1W-8D-13L) against 13th-placed Sao Paulo. Chapecoense are in a desperate relegation survival battle with high motivation, but they are severely depleted by missing personnel (including Yannick Bolasie, Mauricio Garcez, and Rafael Carvalheira). Their home record shows defensive vulnerability with 27 goals conceded in 11 home fixtures (2.45 conceded/game) and an average of 3.91 total goals per home match.

Sezon İstatistikleri

Tüm sezon maçlarına göre hesaplanmış veriler

Chapecoense-sc

VS

Sao Paulo

15/25

2.5 Gol Üstü

10/25

15/25

Karşılıklı Gol

15/25

16/25

3.5 Gol Altı

20/25

3/25

İlk Gol Atan

8/25

2/25

Clean Sheet

5/25

8/25

Gol Atamama

5/25

19/25

4.5 Kart Altı

19/25

2.3

Ort. Kart/Maç

2.2

Sao Paulo enter as technical favorites but carry an inconsistent away profile (2W-3D-7L away, 11 GF, 17 GA). In terms of attacking efficiency, measured statistics show Chapecoense averaging 11.63 total shots (3.63 on target) and 0.95 xG per match over their last 8 outings, while Sao Paulo manage 12.0 shots (4.0 on target) and 1.06 xG per match. Both teams have struggled to produce clean sheets, with Chapecoense securing only 1 clean sheet in 22 league matches and Sao Paulo keeping 4 clean sheets all season.

From a tactical stance, Chapecoense's high-pressing urgency combined with their leaking backline opens up transition opportunities for Sao Paulo. Corner production for both sides is consistently high: Chapecoense fixtures average 10.5 corners per match (conceding 7.0), while Sao Paulo fixtures average 10.43 corners per match (generating 5.57). Discipline is another major factor, with Sao Paulo averaging 3.0 yellow cards per match in their last 8 outings and Chapecoense committing 12.5 fouls per match.

Overall, while Chapecoense's defensive issues make an away win or high goal count likely, Sao Paulo's modest away win rate (17%) warrants caution on surface 1X2 lines. Market opportunities lie deeper in measured statistical lines such as corners, cards, and team goal totals.