Atlante vs Tepatitlán de Morelos: match statistics

Atlante holds a clear home advantage in underlying metrics: at home they average 1.93 goals per match with an xG of 2.35, 8.53 on-target shots (21.8 total shots), whereas Tepatitlán on the road records 1.19 goals per match with xG 1.50, 5 on-target shots (12.38 total shots). Defensively the hosts are superior — Atlante concedes 0.73 goals at home on average, allows xG against 0.67 and keeps clean sheets in 40% of home matches, while the visitors concede 1.06 goals away with xG against 1.41. Although the visitors show a slightly higher conversion rate (10% vs 9%), they generate far fewer opportunities, and Tepatitlán fail to score in 38% of away matches compared to just 7% for Atlante at home. In the last five matches Atlante have scored 8 goals and averaged 1.4 points per game, while Tepatitlán have 9 goals and 1.6 points — the visitors’ form is marginally better, but the hosts’ seasonal advantage (57 goals scored vs 44) and superior home goal difference (+18 vs +2) favour Atlante. Considering Atlante’s 60% home win rate versus only 19% away win rate for the visitors, the projection is a home win; I propose probabilities of 65% home win, 20% draw and 15% away win.

The forecast leans toward BTTS - Yes: Atlante has a seasonal BTTS rate of 44% and Tepatitlán 56%, but in the last 5 matches Atlante records 80% BTTS while Tepatitlán 60%. Atlante averages 1.56 goals per game with xG 1.8, and Tepatitlán 1.19 goals with xG 1.5, meaning both teams generate 1.8 and 1.5 xG respectively and have realistic scoring opportunities. In their last 5 fixtures Atlante scored 8 and conceded 8 (avg 1.6 conceded), and Tepatitlán scored 9 and conceded 6 (avg 1.2 conceded), so both sides have recently been regular scorers. The counter-argument is that Atlante keeps a clean sheet in 44% of matches this season and concedes only 0.75 goals per game, and the league features 50% of matches with at least one clean sheet, which limits BTTS. Weighing the stronger signals from the last 5 matches (80% and 60%) and the xG values, I assign 65% to BTTS 'Yes' and 35% to 'No'.

I estimate 1.61 goals for Atlante and 1.38 for Tepatitlán, i.e. a total of ~2.99 goals — calculation based on averaging the team’s offensive xG and opponent’s defensive xG: Atlante xG_for 1.80 vs xG_against_away 1.41 (average 1.605 → 1.61), Tepatitlán xG_for 1.50 vs xG_against_home 1.25 (average 1.375 → 1.38). With a combined lambda ≈2.99 the Poisson distribution yields ~80% chance of Over 1.5 goals, ~57% for Over 2.5 and ~35% for Over 3.5, matching my probability assessments. Season stats reinforce the Over signal: Atlante has 75% of matches Over 1.5, Tepatitlán 56% (average ~66%), and the league records 54% of matches Over 2.5; additionally Atlante averages 15.38 shots (5.44 SOT) with a 10% conversion, while Tepatitlán averages 12.38 shots (5.00 SOT). Atlante shows a solid home defense in results (seasonal goals conceded 0.75 per match vs xG_against_home 1.25), but the last 5 matches indicate offensive momentum (Atlante last 5: xG_for 1.99 and 8 goals; Tepatitlán last 5: xG_for 1.66 and 9 goals), so an expected score close to 3 goals favors the Over. The strongest and safest data signal is to play Over at the 1.5 line (side: over, line: 1.5).

Atlante is clearly stronger at home: they win 56% of their home matches, average 1.56 goals per game and have an xG of 1.8 versus Tepatitlán’s 1.5, and they also register 15.38 shots per game (5.44 on target) compared to the visitors’ 12.38 (5.0 on target). The hosts have led at the break in 44% of matches and average 0.81 goals before half-time, while Tepatitlán only averages 0.5 first-half goals, which favors Atlante leading at the break. In second halves Atlante add an average of 0.75 goals and concede only 0.25 (i.e., +0.5 in second halves), whereas the visitors score 0.69 after the break and win only 19% of their away games, reducing their chances of a turnaround. From these data the most reliable signal is 1/1 (Atlante leads HT and wins FT) — I assign it a 35% probability, and I distributed the remaining scenarios according to differences in xG, first-half efficiency and second-half performance.