Pittsburgh Riverhounds vs Brooklyn FC: match statistics

Pittsburgh Riverhounds are the favorites: they sit 8th in the table versus Brooklyn FC’s 24th, and at home they record an 80% win rate, scoring on average 1.6 goals and conceding 0.8 per match. In their last 5 matches Riverhounds have scored 4 and conceded 1 (averaging 0.8 scored and 0.2 conceded per match), yielding an average of 1.8 points per game and an unbeaten run (W-D-W-D-W). Brooklyn in their last 5 fixtures scored 10 goals but conceded 11 and average only 1.0 point per game; additionally they have no away wins (0% win rate) and concede on average 2.83 goals away. Chance quality is similar (home offensive xG 1.37 for Pittsburgh vs away xG 1.36 for Brooklyn), but the home defense is superior — average xG against 1.19 vs 1.83 for the visitors. Furthermore, Riverhounds have a higher conversion rate (14% vs 11%) and 40% clean sheets at home versus 0% away clean sheets for Brooklyn, therefore I tip a home win.

I lean towards BTTS - Yes due to the away profile: Brooklyn FC have 67% of matches with both teams scoring this season and 80% in the last 5, while conceding on average 2.83 goals per game this season and 11 goals in the last 5. Hosts Pittsburgh Riverhounds show a low BTTS rate: 29% this season and 20% in the last 5; they have scored 15 and conceded 13 this season (avg 1.0 goals conceded per game). However their offensive xG is 1.54 versus an actual average of 0.86 goals per game, indicating they generate >1.5 xG and can exploit the visitors’ defensive weakness. Additionally Brooklyn are involved in over 2.5 goals in 100% of this season’s matches, and 67% of their matches are both over 2.5 and BTTS, which, combined with the league average of 2.8 goals per game, increases the likelihood of goals from both sides. Average shots on target are similar (4.86 vs 4.67), and the visitors have better shot conversion (11% vs hosts’ 7%), therefore I assess BTTS probability at 65% (Yes) and 35% (No).

The model based on xG and defensive metrics projects 1.69 expected goals for Pittsburgh (xG_for 1.54 vs opponent xG_against 1.83) and 1.48 for Brooklyn (xG_for 1.36 vs home xG_against 1.61), totaling ~3.17 goals. A 3.17 total shifts the distribution toward more scoring: under a Poisson model the probability of Over 1.5 goals is ~83%, Over 2.5 ~61%, and Over 3.5 ~39%. Match data corroborate this risk: Brooklyn records 100% of games Over 2.5 this season and 67% Over 3.5, and in their last 5 away matches Over 2.5 is 80%, while the home side posts lower figures (home Over 2.5 29%). Brooklyn concedes an average of 2.83 goals per game and has 100% of matches with at least one goal conceded, which raises the likelihood of Pittsburgh goals despite Pittsburgh’s season home scoring of 0.86 (though xG_for_home 1.54 indicates greater potential). Consequently the strongest signal in the data is Over 1.5 (highest estimated probability ~83%), so I recommend taking the Over at 1.5.

I select X/1 (draw at half-time, Pittsburgh to win) as the most likely scenario. A draw at the break appears realistic because in the last 5 matches Pittsburgh has been level at half-time in 80% of games, and seasonally home teams have led at half-time in 43% of matches versus 17% for Brooklyn. After the break I expect the hosts to gain the advantage: Pittsburgh has earned 9 points in second halves compared to only 1 point for the visitors and averages 1.29 points per match after the break versus 0.17 for Brooklyn, while the visitors concede on average 1.83 goals after half-time. Additionally, the hosts’ xG is 1.54 versus 1.36 for Brooklyn and the home side averages 12 shots per match compared to 10.5 for the away side, with the visitors conceding 2.83 goals per match on the season, which favors a turnaround in the second half. In summary, given Pittsburgh’s 80% HT draws, superior xG and Brooklyn’s weaker second-half profile, the most likely outcome is a draw at half-time and a home victory after 90 minutes.