KäPa vs KTP: match statistics

The favorites are the away side, KTP, who sit 1st in the table while KäPa are 7th; KTP have won 4 of their last 5 matches, KäPa only 1 of 5. Although total goals this season are similar (KäPa 10, KTP 9), KTP have scored 7 goals in their last 5 matches versus KäPa’s 4 and average 2.4 points in the last five fixtures compared to the hosts’ 1.0. In terms of chance quality the visitors show superior xG – KTP’s average xG is 1.65 on the road versus the home side’s 1.50 xG at home, and xG against is 1.16 (KTP) vs 1.46 (KäPa), indicating KäPa concede higher-quality chances. Defensively KTP also look stronger: they concede on average 1.00 goals away, keep clean sheets in 80% of away matches and are shut out in only 20% of games, whereas KäPa concede 1.25 at home and fail to score in 50% of matches. Considering the advantage in form, higher chance-creation efficiency (xG 1.65) and greater defensive stability, the higher probability is for an away victory.

Season-long metrics argue against BTTS: KäPa has BTTS in only 33% of home matches, KTP in 20%, while the league BTTS rate is 38%. Both teams often keep a clean sheet — KäPa in 67% of matches, KTP in 80% — versus a league clean sheet rate of 71%, which reduces the likelihood of Goal/Goal. In recent form KäPa has 60% BTTS in their last 5, KTP 40%; in their last 5 KTP scored 7 goals (1.4 per game) compared to KäPa’s 4 goals (0.8 per game), so KTP carries slightly more scoring potential. Despite that, KäPa generates higher xG (2.01 vs 1.65 for KTP) and concedes only 0.33 goals per game season-long versus 1.0 for KTP; the combination of high clean sheet rates (67%/80%) and low season BTTS (33%/20%) suggests goalless or one-sided matches are more likely, therefore I tip No Goal (70%) over BTTS - Yes (30%).

xG comparison indicates a moderately high goal potential: home xG is 2.01 versus xG against KTP 1.16, yielding expected home goals ≈1.59; similarly, away xG 1.65 versus xG against KäPa 1.02 yields expected away goals ≈1.34, total ≈2.93. This season hosts score 1.33 goals per match on average, visitors 1.00, and hosts concede only 0.33 at home versus 1.00 conceded by guests, suggesting some chances may not convert. Hosts average 6.0 shots on target and 16.7 total shots, visitors 3.8 and 15.4; however low conversion (8% vs 6%) and high clean sheet rates (67% hosts, 80% guests) curb the risk of very high-scoring outcomes. A distribution model for total goals ≈2.93 gives ~79% probability for Over 1.5, ~56% for Over 2.5 and ~34% for Over 3.5, therefore the strongest and most justified selection is Over 1.5.

The most likely scenario is a draw at half-time and a home win at full-time (X/1). The hosts drew at half-time in 67% of their home matches, and the visitors in 60%, which strongly signals a draw after 45 minutes. KäPa did not concede before the break at home (average 0.0 goals conceded HT and 100% HT clean sheets) and scores an average of 0.33 goals before half-time, so the typical half-time score is 0-0. After the break the hosts are more proactive — they average 1.0 goals in the second half and 1.33 average goals in second halves overall, collecting an average of 2.33 points and winning 67% of such matches; additionally the hosts’ xG of 2.01 versus the visitors’ 1.65 and 6.0 shots on target versus 3.8 demonstrate a creative advantage. Despite the visitors’ good form (last 5 matches: 80% wins), I assign greater chances to the hosts after half-time; therefore I estimate X/1 at approximately 35% probability.