Quilmes vs Atlanta: match statistics

A draw appears the most likely outcome: Quilmes concedes only 0.25 goals per home game on average and has a 75% clean sheet rate at home, with 50% home wins and just 13% defeats. Atlanta, however, has superior attacking numbers across the season (23 goals scored vs 16 for Quilmes) and has netted 7 goals in the last 5 matches, averaging 2.0 points per game, while Quilmes has 4 goals and 1.6 points per game. Quilmes creates more chances at home (11.5 shots and 3.38 on target per match with xG 1.45), whereas Atlanta away averages 7.88 shots, 2.38 on target and xG 0.93, but with higher efficiency (conversion 13% vs 9%), meaning the visitors are more effective from fewer attempts. Additionally, Quilmes fails to score in 50% of home matches, and Atlanta are goalless in 38% of away fixtures; with low average goals (1.25 for the hosts and 1.88 for the visitors) I expect an even, low-scoring game, hence a draw as the safest result.

Seasonal BTTS indicators are moderate: Quilmes 40% and Atlanta 38%, with a league average of 38%, which alone does not produce a strong BTTS favorite. Quilmes has the better defense — conceding 0.6 goals on average this season and keeping a clean sheet in 50% of matches; in the last 5 games Quilmes has only 20% BTTS and 0.6 goals conceded, which reduces the likelihood of Goal/Goal. Atlanta has attacking potential (23 goals this season and 7 goals in the last 5 matches), but its seasonal xG is 0.93 with xG against 1.20, while Quilmes posts xG 1.46 and xG against 1.05, suggesting greater control and a higher chance of a clean sheet expected for the hosts. Quilmes attempts more shots (11.9 vs 7.88) and more shots on target (4.1 vs 2.38), and the league average goals is just 1.86, so a No Goal scenario looks more likely. I assess BTTS - Yes at 38% vs 62% for No Goal and recommend backing "no".

Modeling expected goals I used xG: Quilmes has xG_for 1.46 versus Atlanta xG_against 1.20, yielding expected xG for Quilmes ≈1.33, while Atlanta with xG_for 0.93 and Quilmes defense 1.05 gives ≈0.99; total expected goals = 2.32. Seasonally both teams have a high share of matches over 1.5 goals: Quilmes 60% and Atlanta 63% — assuming independence 1 - (0.4×0.37) = 0.852, i.e. about an 85% chance of Over 1.5; additionally Quilmes averages 4.1 shots on target versus Atlanta 2.38, which reinforces the home offensive signal. For the 2.5 line seasonal rates 40% (Quilmes) and 38% (Atlanta) yield combined ~63% for Over 2.5, but analysis of the last 5 matches (20% for Quilmes and 40% for Atlanta) and xG_total = 2.32 weaken this signal, so after adjustment I rate Over 2.5 at about 58%. For the 3.5 line xG_total 2.32 and seasonal figures (Quilmes 20%, Atlanta 0%) and a Poisson distribution indicate roughly a 20% chance of ≥4 goals, so Under 3.5 is clearly stronger. As a result the strongest and most reliable signal from the data is the Over 1.5 bet (Over, line 1.5) with an estimated probability of about 85%.

The home side led at the break in 30% of matches, a draw at half-time occurred in 60% of games, and the visitors were leading in only 10%, indicating a strong probability of a draw HT. Quilmes holds the advantage over the full 90 minutes: they average 1.5 goals per match versus Atlanta’s 1.0, have a higher xG (1.46 vs 0.93) and register more shots on target (4.1 vs 2.38). At half-time the hosts concede only 0.1 goals on average versus 0.38 for the visitors and keep a clean sheet at the break in 90% of matches, so a HT draw (often 0–0) appears most likely. After the interval Quilmes retain the offensive edge (on average 1.6 goals in the second half vs 1.25 for Atlanta and 2.0 points per home match vs 1.63 for the away side), therefore the HT draw, home win FT scenario (X/1) is the strongest — I estimate it at 34%. The scenario where the hosts lead at half-time and win (1/1) I price at 21%, draw-draw (X/X) at 18%, and comebacks by the visitors or their wins after a HT draw (X/2 and 2/2) at 8% and 5% respectively; other combinations carry smaller probabilities.