Overview
Columbus Crew (#12, 29pts) face Charlotte (#4, 43pts) in this MLS clash. Last season, Columbus averaged 1.6 goals and conceded 1.5 per game over 37 matches, while Charlotte scored 1.5 and conceded 1.4. Despite Columbus’ mid-table position, Charlotte’s 20 wins last season show their stronger baseline. The recent head-to-head favors Charlotte with wins in 3 of the last 5 meetings, including a 3-1 victory in August 2026.
Form & xG
Columbus’ recent form is mixed: WWLLW with 1.42 goals scored and 1.58 conceded per game this season, alongside xG of 1.15 for and against. Charlotte’s form is steadier (LWDWD), scoring 1.74 and conceding 1.41 with xG 1.47 for and 1.46 against. Both teams have similar BTTS rates (69% for Columbus, 67% for Charlotte) and over 2.5 goals frequency (69% vs 67%), indicating attacking openness.
Team News & Key Players
Columbus’ Maximilian Arfsten is key with 4 goals and 4 assists, shooting 1.15 times per 90 and creating 1.51 key passes. T. Habroune also contributes with 1 goal, 2 assists, and 1.78 key passes per 90. Charlotte’s Pep Biel is the standout, netting 11 goals and 6 assists, with 1.6 shots and 1.79 key passes per 90. I. Toklomati Giorno adds 9 goals, reinforcing Charlotte’s attacking threat.
Stats & Betting Angles
Charlotte’s defense is stronger last season with 14 clean sheets vs Columbus’ 6, despite similar conceding rates this season. Both sides have 19% clean sheets this season, suggesting defensive vulnerabilities. Corners favor Columbus (5.2 vs 4.4 per game), but Charlotte’s higher yellow card rate (2.04/yel per game) indicates aggressive play. BTTS and Over 2.5 goals are both above 65% historically and this season, supporting a high-scoring game.
Verdict
Given Charlotte’s superior form, xG, and head-to-head dominance, they are slight favorites but Columbus’ home advantage and attacking players like Arfsten ensure goals. Expect a competitive fixture with goals at both ends, leaning towards a 2-1 Charlotte win, reflecting the attacking stats and BTTS likelihood. Over 2.5 goals is supported by both teams’ attacking output and defensive metrics.


































































































































