Guaireña vs Paraguarí: match statistics

Guaireña has a clear advantage in finishing efficiency — at home they average 1.25 goals per match with a conversion rate of 12% and 4.5 shots on target, while Paraguarí away score only 0.33 goals per match with a 4% conversion and 4.0 shots on target. Despite similar average xG (Guaireña 1.32 vs Paraguarí 1.39), Paraguarí significantly underperforms in chance conversion, resulting in an approximately 1.06-goal discrepancy between xG and actual goals on the road. Defensively the hosts concede 1.25 goals at home on average versus 1.67 conceded by Paraguarí away, and xG against is 1.17 vs 1.5 to the detriment of the visitors, indicating greater defensive exposure for Paraguarí. Additionally, Guaireña have 1.6 points per match in the last 5 fixtures (form: wlwdd) and a 50% home win rate, while Paraguarí have 0.8 points per match in the last 5 and 0% away wins; therefore I back the home win.

Guaireña concedes an average of 0.5 goals per game and keeps a clean sheet in 50% of matches, which significantly limits Paraguarí’s chances of scoring. Paraguarí scores only 0.33 goals per game this season and just 1 goal in the last 5 matches (0.2 avg), despite xG_for 1.39 and 9.33 shots per match — a low conversion rate of 4% shows they aren’t converting chances. Guaireña has xG_for 1.06 and a season goals average of 1.0 with a high conversion of 15%, so the home side is more efficient at finishing. Home BTTS season rate is 0% (Paraguarí season 33% but 0% in last 5), and the league has an overall BTTS of 46% with 64% clean sheets, which further argues against both teams scoring. Consequently, considering 0.33 vs 1.0 average goals, 50% home clean sheets and only 4% shot conversion for Paraguarí, I estimate 80% for No BTTS and 20% for BTTS — therefore I tip No BTTS (No).

Expected goals were calculated based on xG and the opponent’s defense: the home side has xG_for 1.06 and opponents concede xG 1.50, average (1.06+1.50)/2 = 1.28; the away side has xG_for 1.39 and the home team xG_against 1.15, average (1.39+1.15)/2 = 1.27, total 2.55 xG. A Poisson model with λ=2.55 yields P(≥2)=72% (Over 1.5), P(≥3)=47% (Over 2.5) and P(≥4)=25% (Over 3.5). However, seasonal figures require caution: the hosts have only 25% of matches above 2.5 and 50% clean sheets, while the visitors have a low shot conversion rate of 4% on an average of 9.33 shots, which may limit xG translating into goals. The hosts convert better (15% on 6.5 shots), but the absence of BTTS for the home team (0%) and moderate historical Over 2.5 rates (25–33%) weaken the signal for Over 2.5, whereas Over 1.5 remains clearly favored. Consequently I recommend Over 1.5 as the strongest signal: the model indicates a 72% chance of at least two goals, and additionally the hosts have 100% of matches with >0.5 goals and the visitors 67%, which supports the scenario of at least two goals.

Guaireña draws at half-time in 3 of 4 matches (75%) and averages 0.25 goals by the break, whereas Paraguarí scores 0.0 goals by half-time and concedes an average of 1.33 goals before the break. After the break the home side is clearly stronger — averaging 1.25 goals in the second half versus 0.67 for the visitors, and in the last five matches Guaireña scores on average 1.0 goal in the second half while Paraguarí has 0.0. Although the visitors’ xG is higher (1.39 vs 1.06), the home side’s shot conversion rate is 15% versus 4% for Paraguarí, and the hosts have kept a clean sheet at half-time in 100% of matches, giving them an advantage in turning chances into goals. On that basis the most likely scenario is a draw at half-time and a home win after the break (X/1), so I assign that scenario the highest probability at 36%, with alternatives X/X (18%) and 1/1 (20%).