PK-35 vs KTP: match statistics

I favor PK-35 mainly due to superior home efficiency: the hosts average 2.0 goals per home match with an average xG of 1.09, record 3.5 shots on target per game and a 25% conversion rate, whereas KTP on the road records 0.0 goals, only 1 shot on target on average and 0% conversion. The visitors’ away defense is impressive – KTP have not conceded any goals away (0.0 average, 100% clean sheets), while the hosts concede 1.0 goal at home on average with an average xG against of 1.61, indicating PK-35 can be vulnerable at the back. Form of both teams is similar: each has 3 wins in the last 5 matches and an average of 2 points per game in that period, so the difference will come down to finishing and chance conversion. KTP have a higher away xG average (1.26 vs 1.09 for PK-35) and greater possession (50% vs 37%), which suggests they create chances, but their 12 average shots per game translate into only 1 shot on target and no goals, so the real threat is limited. Therefore I predict a PK-35 win and assess the probabilities as 60% for the hosts, 25% for a draw and 15% for KTP.

I project No BTTS. Season signals are very strong: seasonBTTSPercentage for both teams is 0% (0.0), and seasonCSPercentage is 100% for the home side and 100% for the away side, while the league BTTS rate is only 36% and 86% of league matches end in a clean sheet. xG and shooting metrics indicate PK-35 creates far more chances — xG_for 1.90, 6.0 shots on target and 15.0 shots on average — whereas KTP has xG_for 1.26 and only 1.0 shot on target, which limits the visitors’ realistic scoring opportunities. In the last 5 matches signals are mixed (last5 BTTS 40% for the home team vs 60% for the away), with the home side averaging 2.0 goals in the last 5 and the visitors 1.2, but the dominance of seasonal clean sheets and KTP’s weaker finishing favor a scenario where only one team scores. On that basis I assign 75% to No BTTS and 25% to BTTS (Yes).

Based on xG: PK-35 has xG_for 1.90 and KTP has xG_against 1.35, which yields expected goals for the home side ≈1.63; for KTP I combine xG_for 1.26 with PK-35 xG_against 0.57 to get ≈0.92, total ≈2.55 goals. This expectation is 0.48 goals higher than the league average 2.07, though lower than the sum of recent 5-match averages (2.0+1.2=3.2). PK-35 creates markedly more chances: 6.0 shots on target vs 1.0 for KTP and 15 vs 12 shots overall, and in the last 5 fixtures the hosts scored 10 goals (2.0 avg.) vs 6 (1.2) for the visitors, which supports a minimum two-goal scenario. A Poisson model with lambda=2.55 gives probability of over 1.5 ≈72% (over 2.5 ≈47%, over 3.5 ≈25%), therefore I recommend over 1.5 as the strongest signal. Exercise caution, however, because season stats show 100% of matches below 1.5 for both teams, indicating a small seasonal sample.

The most likely scenario is 1/1 (PK-35 leads at the break and wins) — I assess it at 40%. The home side has a clear advantage in chance creation: xG 1.90 versus KTP’s 1.26, and on average 6.0 shots on target per match compared to 1.0; in the last five matches PK-35 averaged 1.2 goals by half-time versus 0.2 for their opponents (the hosts led at the break in 3 of 5, i.e. 60%). Additionally, PK-35 collects an average of 3.0 points at home versus 1.0 for KTP and has a low xG against (0.57), which suggests maintaining the lead is likely. KTP, however, are in good form (3 wins in their last 5, 60% win rate) and in 4 of their last 5 away matches the visitors have scored more than 0.5 goals in the second half (80%), hence the elevated probability of X/1 (18%) and X/X (12%). Scenarios with KTP leading at the break and winning overall I assess at 12% in total (2/1 4%, 2/X 4%, 2/2 4%).