TPS vs Lahti: match statistics

Lahti holds a clear statistical advantage — in the last 5 matches the visitors scored 6 goals and average 1.4 points per game, while TPS scored 3 goals and averages only 0.4 points per game. TPS’s defense is in poor form: the hosts conceded 10 goals in their last 5 fixtures (2.0 goals per game), whereas Lahti conceded 6 (1.2 per game). Lahti generates more chances: on the road they average 7 shots and 2 on target with a 14% conversion rate (translating to roughly 1 goal), while available home stats for TPS show 0 shots on target per game. Lahti’s average away xG is 0.77 against an xG conceded of 1.29, indicating the visitors create moderately valuable chances and can convert them; season-long figures further favor Lahti (4th vs 8th for TPS) and show 100% wins and 100% clean sheets on the road in season comparisons. Based on the goal difference (6 vs 3), average points (1.4 vs 0.4) and superiority in attacking situations, I predict a Lahti victory.

In this match I assign a higher probability to 'No' (both teams not to score) — estimated at 66% vs 34% for 'Yes'. TPS scored only 3 goals in the last 5 matches (0.6 goals per game) and conceded 10 (2.0 per game), and form 'ldlld' indicates offensive problems for the home side. Lahti shows better offensive numbers (6 goals in 5 matches, 1.2 avg and xG_for 0.94), but their last 5 fixtures featured BTTS only 20% of the time (1/5), meaning opponents rarely scored against them. Additionally, TPS generates xG_for 0.98 with an actual 0.6 goals, while Lahti has xG_against 0.72 and concedes 1.2 goals per game on average, suggesting the hosts may fail to convert created chances. Against a league BTTS rate of 50% and a high clean sheet rate in the league (67%), the combination of TPS's low efficiency and Lahti's relative defensive stability gives a stronger signal for 'No' (No Goal / clean sheet expected).

The xG model based on the last 5 matches gives 0.98 xG for TPS and 0.94 xG for Lahti, totaling 1.92 expected goals in this match. In their last 5 games TPS averaged 0.6 goals scored and conceded 2.0 per match, while Lahti averaged 1.2 scored and 1.2 conceded, so the historical average goals for both sides is 0.6+1.2=1.8, close to the xG. Lahti creates more chances — 7.0 shots and 2.0 on target per game in the provided data, whereas TPS has 0.0 shots and 0.0 on target, indicating Lahti’s offensive advantage. The league has a seasonal average of 2.67 goals per game, and both teams in their last 5 matches had a 40% chance of Over 2.5, so the probability of exceeding 1.5 is clearly higher than exceeding 2.5. Based on 1.92 xG and TPS’s weak defense (2.0 conceded in L5) I recommend the Over line at 1.5 as the strongest signal; I estimate P(Over 1.5)=65%, P(Over 2.5)=34% and P(Over 3.5)=12%.

Lahti performs significantly better on the road: they have a 100% away win rate (winPercentage_away = 100.0), average 1.0 goal by half-time (scoredAVGHT_away = 1.0) and led at the break in 100% of their away matches (leadingAtHTPercentage_away = 100.0). TPS score no points at home (seasonPPG_home = 0.0), have a seasonal scored average of 0.0 (seasonScoredAVG_home = 0.0) and were trailing at half-time in 80% of their last 5 home matches (last5_trailingAtHTPercentage_overall_home = 80.0), which weakens their chance of holding a lead after 45 minutes. The first-half differential is also evident numerically: Lahti averages 1.0 first-half goals while TPS concedes an average of 1.2 goals by half-time (last5_concededAVGHT_overall_home = 1.2), so a guest lead at the break is the most probable scenario. Lahti’s away xG is 0.77 (xg_for_avg_away = 0.77) and they have a 100% season away clean sheet rate (seasonCSPercentage_away = 100.0), which reinforces the expectation that the visitors will not only lead at half-time but also finish the match with the win; therefore the most likely HT/FT outcome is 2/2 (48%). Alternatives are a half-time draw with a visitor win later (X/2 20%) or visitors leading at half-time and a full-time draw (2/X 12%), while a home lead at half-time is statistically very rare (TPS 0.0 leads at HT), so scenarios starting with 1/... receive low probability.