MathPredictions
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Brazil Campeonato Gaucho 2

Esportivo vs Guarani RS Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals1.48 – 1.12
Avg goals2.60
Our pickHome
Esportivo 44% Draw 28% Guarani RS 27%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) – Home 44% 2.25 2.00
Double chance – Home or draw 73% 1.38 1.25
Goals 2.5 Under 52% 1.93 1.85
Both teams to score – Yes 53% 1.88 –
Correct score – 1-1 14% 7.39 7.00

Bookmaker odds

Match result (1X2) Home 2.00  ·  Draw 3.30  ·  Away 3.10
Goals 2.25 Over 1.95  ·  Under 1.85
Corners 10 Over 2.00  ·  Under 1.80

Latest pre-match prices from the odds feed, refreshed hourly until 30 minutes before kickoff.

Match trends

  • Esportivo win 3.60 corners per game, with match totals averaging 8.20 over their last 5.
  • Over 9.5 corners has landed in 20% of Esportivo matches.
  • Across 8 recent matches, Guarani RS games produced 10.75 corners on average — 6.63 taken by Guarani RS themselves.
  • Over 9.5 corners has landed in 63% of Guarani RS matches.
  • Games involving Esportivo produce 2.40 goals per match on average; BTTS has hit 80%.
  • Guarani RS matches average 2.88 goals, with both teams scoring in 38% of them.
  • On the goal line, our probabilities favour Under 2.50 (52%).

Esportivo — last 5 matches

DateH/AOpponentScoreCorners
2025-11-10 H D Brasil de Pelotas 1–1 0–5
2025-10-26 H D Sport Clube Gaucho 1–1 4–4
2025-10-19 A W Internacional B 3–0 8–4
2025-10-13 A L Pelotas 1–2 6–2
2025-09-28 H D Aimore 1–1 0–8

Guarani RS — last 8 matches

DateH/AOpponentScoreCorners
2025-12-08 H W APAFUT 3–1 2–7
2025-12-05 A D APAFUT 0–0 8–4
2025-12-01 H W SC Rio Grande 4–0 6–2
2025-11-10 H W APAFUT 4–2 4–8
2025-11-06 A W Clube 1992 3–0 4–4
2025-11-03 H W Nova Prata RS 1–0 11–4
2025-10-20 A W Nova Prata RS 2–0 10–2
2025-10-06 A W APAFUT 2–1 8–2

Match questions

Who is predicted to win Esportivo vs Guarani RS?
Our model gives Esportivo a 44% chance, the draw 28% and Guarani RS 27%. The most likely score is 1-1.
How are these predictions calculated?
Predictions come from a statistical model fitted on multi-season match results: team attack/defense ratings with time decay, blended with current market lines. No human tipsters are involved, and every published prediction is settled and counted in our public accuracy record.