Leicester City vs Swansea City: match statistics

Leicester has the offensive advantage at home: on average 1.4 goals per match and xG 1.47 with 13.4 shots, while Swansea away manage only 0.95 goals per match and xG 1.25 with 11 shots. The hosts are less likely to be blanked — in 20% of home matches they fail to score, whereas Swansea failed to score in 40% of their away games, increasing Leicester’s probability of finding the net. Defensively both teams concede on average 1.5 goals per match, but over the last 5 fixtures Leicester conceded 6 goals (1.2/match) while Swansea conceded 11 (2.2/match), indicating greater defensive issues for the visitors. Swansea have more wins this season (15 vs 11) but away they suffer 60% losses and a -11 goal difference, whereas Leicester at home have -2 and 40% losses; this gives the hosts the edge despite the visitors’ better overall record. Based on xG (1.47 vs 1.25), chances created (13.4 vs 11) and shooting consistency (lower 20% vs 40% of matches without a goal), I assess probabilities: 60% Leicester, 25% draw and 15% Swansea win.

Leicester averages 1.43 goals per match and has BTTS in 57% of games, while Swansea averages 0.95 goals seasonal and has BTTS in 45% of matches; however, in the last 5 fixtures both teams register BTTS at 60% each. Swansea in their last five matches scored 7 goals (1.4 per game) and conceded 11 goals (2.2 per game), whereas seasonally they concede 1.5 goals, indicating vulnerability to conceding. Leicester creates more chances — seasonal xG 1.44 and recent xG 2.03, averaging 13.48 shots and 3.62 shots on target with a conversion rate of 11%, compared to Swansea with seasonal xG 1.25, 11.0 shots and 3.9 shots on target at a 9% conversion. A counterpoint is that Swansea fail to score in 40% of season matches, which lowers BTTS probability, but their last-5 form (1.4 goals and 60% BTTS) offsets this. Considering Swansea’s weak defense (1.5 seasonally and 2.2 recently), Leicester’s higher recent xG and the league BTTS rate of 56%, I forecast BTTS as more likely — 66% for "Yes" vs 34% for "No".

Leicester averages 1.43 goals per match, Swansea 0.95; xG for Leicester is 1.44 versus xG against Swansea 1.52, yielding an estimated 1.48 goals for the home side, while Swansea xG is 1.25 against Leicester xG conceded 1.26 — I estimate 1.26 goals, total ~2.74 goals. Seasonally 76% of Leicester’s matches and 75% of Swansea’s matches finish Over 1.5 goals, and the league averages 2.59 goals per game, which strongly supports Over 1.5 (Poisson at 2.74 gives about a 76% chance). The 2.5 line is much more balanced: season Over 2.5 occurs in 48% of Leicester’s matches and 50% of Swansea’s, and the calculated Over 2.5 probability at 2.74 is roughly 51%, so edge is marginal. In the last 5 matches Leicester has xG_for 2.03 and scored 6 goals, while Swansea conceded 11 goals in 5 matches (2.2 avg), which further increases goal likelihood and favors Over. Therefore I recommend Over 1.5 as the best line (over 1.5) with an estimated probability ~76%; Over 2.5 (~51%) is a lower-confidence option, and Over 3.5 (~29%) is unlikely.

First-half statistics point to a draw as the most frequent scenario: Leicester led at the break in 24% of home matches, while a draw occurred in 38% of them, and Swansea led at the break in only 15% of away games. Leicester holds a clear seasonal advantage: they average 1.71 points per home match versus 0.90 for Swansea, the home xG is 1.44 versus 1.25 for the visitors, and average goals are 1.43 vs 0.95. The home side’s strength emerges after the break — Leicester average 1.76 points in the second half versus 1.0 for Swansea and win second halves in 48% of matches compared to 20% for the visitors, so a draw at half-time often turns into a Leicester victory. Additionally, Leicester have scored 7 goals in minutes 61–75 and 8 in 76–90, versus 3 and 5 for Swansea, confirming their ability to score decisive goals after the break. On this basis the most likely scenario is a Half-Time draw and Full-Time home win (X/1) — I assign it a 21% probability, with an alternative 20% probability given to the 1/1 scenario.