Chattanooga FC vs Inter Miami II: match statistics

Chattanooga FC averages 2.13 goals per home game, registers 14.88 shots with 6.25 on target and has a conversion rate of 14%, while Inter Miami II averages 1.00 goal away, with 10.63 shots of which 4.25 are on target and a 9% conversion. Defensively the visitors are very weak — Inter Miami II concedes 2.75 goals on average away, has no clean sheets (0%) and an away record of 0 wins, 4 draws and 10 losses, whereas Chattanooga win 63% of home matches and have a goal differential of +6 while conceding 1.38 on average. In the last 5 matches Chattanooga scored 13 and conceded 12, averaging 1.2 points per game, while Inter Miami scored only 3 and conceded 13, with just 0.2 points per game. From a quality-of-chances perspective the home side’s average xG at home is 1.83, and Inter Miami allows 1.93 xG on the road, which confirms that the visitors more often permit dangerous chances and less frequently create their own (their xG for away is 1.32). Based on these numbers I give a clear edge to the hosts, estimating probabilities at approximately 72% for a Chattanooga win, 18% for a draw and 10% for a visitors’ win.

Both teams have high BTTS rates this season: Chattanooga 67% and Inter Miami II 63%, while the league BTTS level is 62%, indicating that Goal/Goal is common. In the last 5 matches Chattanooga has BTTS 80% and averages 2.6 goals scored per game, whereas Inter Miami II has BTTS 60% and averages 0.6 goals, so the hosts have been scoring more recently and the visitors less. Both sides concede frequently: seasonally Chattanooga concedes 2.33 goals on average and Inter Miami II 2.75, with xG against of 1.82 and 1.93 respectively, confirming that chances are created at both ends. A strong signal for Yes is the percentage of clean sheets — Inter Miami II has 0% clean sheets this season and Chattanooga only 17%, meaning in the majority of matches both teams allow the opponent to score. Considering season BTTS 67%/63%, last 5 matches 80%/60%, high average goals conceded 2.33/2.75 and xG against 1.82/1.93, I rate BTTS - Yes as the stronger signal: 75% vs 25%.

Based on xG: the home team has xG_for 1.31 and opponents xG_against 1.93, yielding an expected home goals ≈1.62; the away team has xG_for 1.32 and opponents xG_against 1.82, yielding expected away goals ≈1.57, total ≈3.19 goals. From a Poisson distribution with λ=3.19 the probabilities are: Over1.5 ≈83%, Over2.5 ≈62% and Over3.5 ≈40%. These projections align with seasonal rates: Over1.5 occurred in 83% of Chattanooga’s matches and 88% of Inter Miami II’s, while Over2.5 occurred in 50% and 75% respectively (avg 62.5%); the league average for Over2.5 is 65%. Additionally, the home side scored 13 goals in the last 5 matches (2.6 avg) and recorded Over2.5 in 80%; the away side scored 3 goals in the last 5 (0.6 avg) and 60% Over2.5; BTTS is 67% vs 63%, which increases the likelihood of goals from both teams. Considering total xG ≈3.19, weak defenses (Chattanooga concedes 2.33, Inter Miami II 2.75) and the above metrics, I recommend the Over 2.5 line as the strongest signal.

Recent form suggests a clear advantage for the home side at half-time: in their last 5 matches Chattanooga FC led at the break in 4 of 5 fixtures (80%) and averaged 1.6 first-half goals, while Inter Miami II failed to score by half-time in those 5 matches (0.0). At the same time the home team frequently ends matches level — in the last 5 they recorded 3 draws (60%), indicating that leads at the break are sometimes lost or matches finish shared. The xG rate is almost identical (1.31 for Chattanooga vs 1.32 for Inter Miami II), and both teams often score: the percentage of games in which both teams scored is 67% for the home side and 63% for the visitors, pointing to an open match flow. Considering the home dominance at half-time (80%) together with the high share of draws in Chattanooga’s final results (60%), the most likely HT/FT scenario is Chattanooga leading at the break and a draw at full-time (1/X). Therefore I assign a 35% probability to 1/X, 18% to 1/1 and 17% to 1/2, with the remaining scenarios allocated smaller probabilities.