Phoenix Rising vs Hartford Athletic: match statistics

Phoenix Rising appear favored due to an offensive edge: at home they score 1.88 goals per game on average (xG 1.9), averaging 16 shots and 6.88 on target per match, while Hartford average just 0.75 goals on the road (xG 1.13) with 3.13 shots on target. Hartford do have a solid away defense — conceding only 0.63 goals per game and keeping clean sheets in 50% of away matches — but they fail to score in 63% of away fixtures, which severely limits their threat. Additionally, the home side convert 12% of attempts versus the visitors’ 8%; the higher xG (1.9 vs 1.13) and greater volume of chances point to a higher probability of Phoenix controlling the match. A cautionary note is Phoenix’s defensive form over the last 5 games — they have conceded 12 goals (2.4 per game), so the match could be open with goals at both ends; nonetheless I estimate the probabilities as: home win ~62%, draw 20%, away win 18%.

I rate BTTS - Yes as more likely (65% vs 35%), primarily due to the hosts' recent form: Phoenix have had BTTS in 100% of their last 5 matches (5/5) and conceded an average of 2.4 goals per game in that span. Additionally Phoenix generate xG 1.66 per match with an average of 12.43 shots and 4.29 shots on target, creating a realistic chance of goals against Hartford, who have faced an average xG against of 1.75 and conceded 1.0 goal in their last 5 games. The counterargument is that Hartford have only 13% of matches seasonal with BTTS, keep a clean sheet in 50% of games and concede only 0.63 goals per match on the season, which lowers the probability of both teams scoring. Nevertheless the league records 57% BTTS matches, and Phoenix at home have over 2.5 in 57% and a seasonal BTTS of 43%, so offensive signals and the hosts' recent defensive form point toward goals from both sides. Therefore I give a moderate edge to the 'Yes' scenario (65%).

xG and defensive data point to higher goal potential: home xG is 1.66, while xG conceded to opponents against Hartford away is 1.85, yielding an estimated 1.76 goals for Phoenix; for Hartford xG is 1.13 versus xG conceded to Phoenix 1.25, giving about 1.19 goals, total 2.95 — well above the seasonal averages 0.86 (Phoenix at home) and 0.75 (Hartford away). Phoenix creates more chances (avg. 12.43 shots and 4.29 on target with a 7% conversion) than Hartford (10.0 shots, 3.13 on target, 8% conversion), supporting a higher share of goals from the home side. In the last 5 matches Phoenix averaged 1.8 scored and 2.4 conceded, with all 5 fixtures finishing BTTS (100%); Hartford in the last 5 matches averages 0.8 scored and 1.0 conceded. With an expected total of 2.95 and approximating a Poisson distribution, I estimate probabilities: Over 1.5 about 79% (Under 21%), Over 2.5 about 57% (Under 43%) and Over 3.5 about 34% (Under 66%). The strongest signal is Over 1.5 (≈79%), therefore I recommend playing Over 1.5 — this line has the largest probability cushion against the estimated 2.95 goals.

The strongest signal points to a draw at half-time and a draw at full-time: Phoenix were level at the break in 57% of their home matches, and the average full-time draw rate, calculated as the mean of both teams, is around 48% (71% for Phoenix vs 25% for Hartford). Both teams have low scoring averages — Phoenix score 0.86 goals per home match, Hartford 0.75 away — which favors outcomes without a decisive result. Phoenix generate more xG (1.66 versus Hartford’s 1.13) and are active after the break (in the second half the hosts average 1.29 goals and themselves score 0.71 goals post-break), but Hartford often take the lead before half-time on the road (38% of cases) and win away matches in 38% of fixtures, which offsets the home advantage. Additionally, in Hartford’s away games both teams rarely scored — only 13% of matches featured goals from both sides — so the lack of forced goal exchange reduces the likelihood of a clear victory and supports a draw. For these reasons I assign the highest probability to the X/X scenario and recommend the market selection "X/X" as the strongest signal from the data.