Stenhousemuir vs Hamilton Academical: match statistics

Stenhousemuir has a clear defensive edge: at home they concede on average 0.73 goals per match, have a 53% clean sheet rate and shipped only 3 goals in the last 5 fixtures, while Hamilton concede 1.47 goals away on average, have a 33% clean sheet rate and conceded 8 goals in their last 5. Home form is substantially better — Stenhousemuir averages 2.2 points per match in the last 5 (3-2-0), whereas Hamilton average just 0.8 points with a 1-1-3 record. Offensively both teams score a similar number of goals (1.67 each on average), but Hamilton register more shots (10.27 vs 8.67) and more shots on target (4.87 vs 4.53), while Stenhousemuir display superior shot efficiency — 19% conversion versus 16% for their opponents. xG analysis shows comparable attacking quality (1.22 xG for Stenhousemuir vs 1.33 for Hamilton), however the difference in xG against (1.18 vs 1.46) and the lower goals conceded corroborate the hosts’ greater ability to neutralize chances. Considering the lower goals-against average at home, higher conversion rate and stronger recent results, I tip Stenhousemuir to win.

I predict Both Teams Not To Score (BTTS 'No') with a probability of 57% versus 43% for 'Yes'. Stenhousemuir concedes on average 0.88 goals per match and has 44% clean sheets, while in the last 5 matches they concede only 0.6 goals per game, indicating strong home defensive form. Hamilton scores 1.67 goals per match on average with an xG of 1.33, but fails to score in 33% of matches season-to-date; additionally Hamilton concedes on average 1.6 goals in their last 5 fixtures, showing inconsistency. In xG comparison Stenhousemuir produces 1.27 versus xG against Hamilton 1.46, while Hamilton has xG 1.33 versus xG against Stenhousemuir 1.13 — these are mixed signals, but the advantage goes to the hosts' tight defense. Season-long BTTS rates are 38% for Stenhousemuir and 47% for Hamilton against a league average of 51%, therefore the 'No' scenario appears better justified.

Estimated expected goals based on xG are 1.37 for Stenhousemuir (attacking xG 1.27 and opponent defense xG 1.46) and 1.23 for Hamilton (attacking xG 1.33 and home defense xG 1.13), totaling 2.60 goals. Both teams have high shares of matches with over 1.5 goals this season: 69% (Stenhousemuir) and 80% (Hamilton), averaging 74.5%, therefore I assign a 76% probability to Over 1.5. For the 2.5 line seasonal rates are 38% (Stenhousemuir) and 73% (Hamilton), average 55.5%; taking into account the projected 2.60 goals and the last 5 matches (Over 2.5: 20% hosts vs 80% guests), I give 57% to Over 2.5. The 3.5 line shows a weaker signal: seasonally 19% vs 53% (average 36%), and with projected 2.60 goals I assess Over 3.5 at 34%, so Under 3.5 is more likely (66%). Additionally, offensive metrics — on average 9.38 and 10.27 shots and 4.38 and 4.87 shots on target per match, with conversion rates of 14% (hosts) and 16% (guests) — support the Over 1.5 option.

First-half statistics point to a draw at the break: hosts led at half-time in 7 matches (44%), visitors in 5 matches (33%), with clean sheet rates at half-time of 69% for Stenhousemuir and 67% for Hamilton, and average first-half goals only 0.69 (Stenhousemuir) vs 0.80 (Hamilton), suggesting a low-scoring first half. In second halves the advantage appears to lie with the hosts: second-half goal difference is +1.0 for Stenhousemuir versus -1.0 for Hamilton, and in the last five fixtures the hosts earned an average of 1.8 points after the break compared to 0.6 points for the visitors. Form corroborates this — Stenhousemuir have a 60% win rate in the last five (3 of 5) versus 20% (1 of 5) for Hamilton, with similar xG: 1.27 for the hosts versus 1.33 for the visitors, indicating that the hosts' defensive organization will be decisive (they concede 0.88 goals per game this season versus 1.47 for the visitors). In light of these figures the most consistent scenario is a draw at half-time and a Stenhousemuir turnaround after the break (X/1), because the half-time draw rate is 44% for the hosts and 47% for the visitors, and the hosts perform better after the break. Therefore I assign the highest probability to X/1, with moderate probability to 1/1 and X/X as alternatives — i.e. a low-scoring first half and a second-half decision in favor of the hosts.