New York RB vs Orlando City: match statistics

New York RB hold an advantage in game control and quality of chances: at home they record 54% possession, on average 14.13 shots per match with 4.5 on target and xG 1.67, while Orlando away average 44% possession, 10.33 shots and xG 1.26. The visitors’ defense on the road is susceptible to goals — Orlando concedes 3.44 goals per match and has xG against 2.07, whereas New York at home concedes 2.00 goals and has xG against 1.32, which gives the hosts an edge in limiting chance quality. The visitors, however, show better attacking form over the last 5 matches: they scored 12 goals and won 3 games, averaging 2.0 points per match, versus the hosts’ 7 goals and 1.4 points per match. Orlando’s higher shot conversion (14% vs 12%) and the fact that their matches average 4.89 goals away (vs 3.63 in New York’s home fixtures) suggest an open game, but overall the xG advantage, higher shot volume and control of play make the hosts the favorite.

Statistics indicate BTTS - Yes: New York RB has a seasonal BTTS rate of 75% and 80% in the last 5 matches, while Orlando City has 44% for the season and 60% in the last 5. Orlando concedes an average of 3.44 goals per game (44 conceded this season), and New York scores 1.88 goals per game with an xG of 1.40, generating 12.63 shots with 4.88 on target and a 15% conversion rate, which increases the hosts' scoring likelihood. The visitors averaged 2.4 goals in their last 5 matches (12 goals) with an xG of 1.66 in those games, recording 10.33 shots (4.78 on target) and a 14% conversion, so they can also find the net. Clean sheets are rare: New York has 13% clean sheets, Orlando 11%, and the league BTTS average is 60%, further supporting both teams to score. Considering 75% vs 44% seasonal BTTS, 80% vs 60% in the last 5, and Orlando's high 3.44 goals conceded, I forecast BTTS 'Yes' at approximately 72% probability versus 28% for 'No'.

I expect approximately 3.33 goals in total: 1.81 for New York RB and 1.52 for Orlando City, based on averaged xG (1.40 vs 1.26) as well as shot stats (12.63 vs 10.33) and conversion rates (15% vs 14%). A strong signal for Over is Orlando City’s high average concessions — 3.44 goals conceded per game — and the fact that the Over 2.5 line hit in 63% of New York’s matches and 78% of Orlando City’s matches this season, versus a league average of 3.24 goals per game. In the last 5 matches New York scored 7 goals (1.4 avg) and Orlando City 12 goals (2.4 avg), confirming the visitors’ offensive potential and increasing the likelihood of more goals. A Poisson model with combined xG ≈3.33 gives probability of at least 2 goals ~85% and at least 3 goals ~65%; this aligns with season Over 1.5 rates of 75% (New York) and 100% (Orlando City), making Over 1.5 the strongest signal (~85%); Over 2.5 remains valuable (~66%), while Over 3.5 is riskier (~43%). Additionally, New York records 4.88 shots on target per game vs 4.78 for Orlando City, and the goals for/against figures (New York 26 GF/37 GA, Orlando City 28 GF/44 GA) underline that goals are likely from both sides.

At half-time New York RB led in 4 matches (50.0%) and average 1.00 goals scored and 0.50 conceded by the break, whereas Orlando City led at the break only twice (22.0%) and average 0.56 goals scored and 1.78 conceded by half-time. Over the full match New York RB win 50.0% of games and score on average 1.88 goals, while Orlando win 22.0% and concede 3.44 goals per match, which heavily favors the home side in the final result. The home xG is 1.40 versus 1.26 for the visitors, and the average shots 12.63 versus 10.33 indicate greater offensive pressure from New York RB with similar efficiency (15% vs 14%). In the second half the visitors concede more goals (on average 1.67) while the home side scores on average 0.88 after the break, so an Orlando turnaround from a lead is less likely. Therefore the strongest signal from the data is the scenario of New York RB leading at half-time and winning the match (1/1).