Chicago Fire II vs New York RB II: match statistics

The favorite is New York RB II: they have 9 wins and 39 goals scored this season versus Chicago Fire II’s 5 wins and 23 goals, and sit 3rd in the table compared to the hosts’ 21st. Away, NYRB II averages 5 shots on target and 57% possession, while the hosts at home average 3.29 shots on target and 50% possession; additionally, the visitors fail to finish a match goalless in only 13% of games, versus 29% for the hosts. Despite this, Chicago Fire II score 1.86 goals per home game and have a higher shot conversion rate (14% vs 11%), with a similar xG (1.63 vs 1.59), which suggests finishing efficiency could level the chances. Defensively the hosts concede 1.43 goals per home match, the visitors 1.63 away, and NYRB II have 0% clean sheets on the road, which increases risk for the guests. Considering the visitors’ superior season metrics in chance creation and overall effectiveness (39 vs 23 goals), I back a New York RB II win, although home advantage and the higher shot conversion give Chicago a realistic chance.

Statistical analysis indicates a high probability of BTTS - Yes, as Chicago Fire II has a seasonal BTTS rate of 67% while New York RB II sits at 88%. Chicago averages 3.11 goals per match (xG 2.02) and produces 16.89 shots with 6.89 on target, whereas NYRB II averages 1.38 goals and xG 1.59 with 13.0 shots and 5.0 on target — meaning the home side creates more attacking volume while the visitors have sufficient xG to score at least once. In the last 5 matches Chicago had BTTS in 80% and NYRB II in 40%; over that period Chicago conceded 1.8 goals on average and NYRB II 1.6, showing some form variability but also a tendency for both teams to exchange goals. Season clean sheet rates are 33% for the hosts and 0% for the visitors, and 89% of Chicago matches and 75% of NYRB matches finished over 2.5 goals; the combination of over 2.5 and BTTS occurs in 56% (Chicago) and 63% (NYRB), which further supports a both-teams-to-score scenario. Considering the above (high seasonal BTTS 67%/88%, xG 2.02 vs 1.59 and recent average goals 1.8 vs 2.6), I pick BTTS 'Yes' with a probability estimate of 75% vs 25% as the strongest signal from the data.

Season-long stats show both teams have exceeded 1.5 goals in 100% of matches (Chicago at home 100%, New York RB II away 100%), and BTTS is 67% for Chicago and 88% for NYRB, which strongly favors Over. An xG-based model yields roughly 3.15 total goals: home xG 2.02 and opponent defense xG 1.38 translate to an estimated 1.70 for Chicago, while away xG 1.59 versus home defense xG 1.30 gives 1.45 for New York. For the 2.5 line we have strong confirmation – season Over 2.5 rates are 89% for Chicago and 75% for NYRB (average 82%), and in the last 5 matches both teams have produced Over 2.5 in 100%, so I assign this option about an 88% probability. The 3.5 line is more mixed: Chicago has 78% of matches over 3.5 goals, NYRB only 25% (average ~52%), but the last 5 meetings suggest a combined 4.4 goals per game (1.8 + 2.6), which raises the likelihood to around 60%. In light of these data I recommend Over 1.5 as the strongest signal (consider Over 2.5 as a value alternative at the offered price).

The strongest signal points to 1/1: Chicago Fire II led at half-time in 5 home matches (56%) and won 67% of their home games, so the most likely scenario is the home side leading at the break and maintaining the victory to full-time. The hosts average 3.11 goals per home match versus 1.38 for opponents, and they score 1.22 goals in the first half compared to 0.63 for visitors, which increases the likelihood that the hosts will be the only scorers before half-time. The advantage is corroborated by xG 2.02 to 1.59, shots on target per game 6.89 to 5.00 and a conversion rate of 18% to 11%, meaning the home team creates and converts more chances. Although both teams frequently score over full matches (both teams score in 67% of the hosts' matches and 88% of the guests' matches), goals from both sides at half-time are rare (22% and 25%), so I prioritise the 1/1 scenario (48%), with an alternative x/1 (16%) and a small probability for 2/2 (8%).