KäPa vs JäPS: match statistics

I predict a draw (X) — the highest probability is a shared points outcome. KäPa have yet to win at home — 0% wins and 67% draws; at home they average 0.67 goals scored and concede 1.33 goals per match, and in the last 5 fixtures they have scored only 2 goals (0 wins, 2 draws, 3 losses). JäPS shows better form recently: they sit 4th versus 7th for the hosts, scored 5 goals in the last 5 matches and average 1.2 points in that period compared to 0.4 for KäPa; the visitors register an average of 4 shots on target per away match with conversion around 9%, versus 2.33 shots on target and 7% for the hosts. xG data indicate KäPa at home have xG 1.22 with xG against 1.30, while JäPS away have xG for 1.01 and xG against 2.02 — this suggests the visitors create more chances but also concede higher-quality situations; concurrently JäPS have 67% clean sheets on the road. Considering the hosts’ zero-win record, JäPS’s edge in shots on target and superior recent-5 match metrics, I assess the probabilities as: draw 45%, away win 30%, home win 25%.

Seasonal stats point to a “No Goal/No” scenario: KäPa have a clean sheet in 60% of matches, JäPS in 67%, while the league clean sheet rate is 75% with league BTTS at 35%. Seasonal goals averages are low: KäPa score 1.0 and concede 0.6 on average, JäPS score 0.67 and concede 1.67, favoring at least one clean sheet. In the last 5 matches KäPa have scored 2 goals (0.4 avg) and conceded 6 (1.2 avg), while JäPS have scored 5 goals (1.0 avg) and conceded 5 (1.0 avg); last 5 matches produced 40% BTTS for home side and 20% for visitors. xG shows moderate chance creation — 1.17 xG for KäPa versus 1.01 xG for JäPS, with JäPS allowing 2.02 xG; low shot conversion of 11% and 9% further limits actual goals, therefore I assign 70% to "No Goal/No" and 30% to "BTTS - Yes".

Season averages show KäPa scores 1.0 goals per match and JäPS 0.67, totaling ~1.67 goals—well below the 2.5 threshold. Both teams have high clean sheet rates: KäPa 60% and JäPS 67%, and the ‘both teams to score’ indicator is 0% for both, all favoring low-scoring outcomes. xG values (KäPa xG_for 1.17 vs JäPS xG_for 1.01 and xG_against 1.31 and 2.02 respectively) yield a theoretical sum of ~2.76 xG, but actual goal averages (1.67) and low season frequency of Over 2.5 (KäPa 20%, JäPS 33%) make that signal less reliable. Therefore I assess the highest probability for Under 2.5 (72%), a moderate probability for Over 1.5 (58%) and a very low risk for Over 3.5 (10%).

Statistical analysis indicates a KäPa advantage at Half-Time: the home side led at the break in 60% of matches (3 of 5), average 0.8 goals in the first half and concede 0.0 before the interval (concededAVGHT_home 0.0), whereas JäPS averages 0.0 goals at Half-Time and concedes 0.33. Over the full match KäPa score 1.0 on average versus JäPS 0.67, with home xG 1.17 against visitors’ 1.01; the hosts concede 0.6 goals on average while JäPS concedes 1.67, which together with a higher average points per game (1.8 vs 1.33) favors the home team. Additionally both teams register 0% in the 'both teams to score' metric (0.0 for each), and KäPa has 60% clean sheets for the season and 100% clean sheets at Half-Time, reducing the likelihood of away goals. Consequently the strongest signal is a 1-0 lead at Half-Time and a Half-Time/Full-Time home win (1/1), while scenarios 1/X (lead at the break then draw) and X/1 (draw at the break then home win) are less likely.