Klubi-04 vs KTP: match statistics

The favorite is KTP: they sit 3rd in the table with a season record of 4 wins, 1 draw and 1 loss, while Klubi-04 are 10th and have yet to win (0 wins, 3 draws, 4 losses). In their last 5 matches KTP average 2.0 points per game (3W, 1D, 1L), whereas Klubi-04 average just 0.6 points per game (0W, 3D, 2L), indicating a clear form advantage for the visitors. The visitors create significantly more chances: on the road they average 15.75 shots and 3.25 on target per match with xG 1.63, while the hosts at home average 8 shots and 2 on target with xG 1.06 — KTP therefore generates 0.57 more xG and nearly twice as many shot attempts. Defensively the gap also favors KTP — the visitors have 75% of away matches with a clean sheet, hosts have 0% clean sheets at home and lose 67% of their home games; average goals are 1.0 scored by KTP away versus 0.67 for the hosts at home, and 1.25 conceded by the visitors versus 1.33 conceded by the hosts. Considering superior form (2.0 vs 0.6 pts/game), markedly higher quality of chances (xG 1.63 vs 1.06) and a high clean-sheet rate for the visitors, I predict a KTP victory.

Klubi-04 scores on average 1.5 goals and concedes 0.5 per home match, while KTP as the away side averages 1.0 scored and 1.25 conceded. This season Klubi-04 has BTTS at 50% and clean sheets in 50% of home games, whereas KTP has BTTS 25% and as many as 75% clean sheets on the road; the league overall posts BTTS 41% and clean sheets in 71% of fixtures, indicating a tendency toward matches featuring at least one clean sheet. Looking at xG: the hosts generate xG 1.81 versus xG against KTP 1.19, and the visitors have xG 1.63 against the hosts' defensive xG 0.95; a simple averaging yields expected goals of ~1.5 for Klubi-04 and ~1.29 for KTP, which in a raw estimate implies roughly a 56% chance of BTTS. However, KTP’s high rate of clean sheets (75%) and the visitors’ low seasonal BTTS (25%), together with the league’s 71% clean-sheet rate, reduce this theoretical estimate and shift probability toward No Goal. Therefore I assign BTTS - Yes 40% and No Goal 60%, and recommend 'no' as it aligns better with the away clean-sheet advantage and seasonal indicators.

A model based on xG and defensive averages forecasts 1.50 expected goals for Klubi-04 (home side: 1.81 xG in attack vs 1.19 xG conceded to KTP) and 1.29 for KTP (KTP: 1.63 xG in attack vs 0.95 xG conceded to the hosts), yielding a total of 2.79 expected goals. With λ=2.79, the Poisson distribution implies roughly a 77% probability of more than 1.5 goals (2+), about 53% for over 2.5 and around 31% for over 3.5. Additionally, Klubi-04 averages 5.0 shots on target with a 10% conversion versus KTP’s 3.25 shots and 6% conversion, which increases the hosts’ scoring probability; however, KTP keeps clean sheets in 75% of away matches, which partially limits the risk of a high-scoring game. Considering the home xG advantage and the 2.79 total forecast, the strongest data-driven signal is to back Over 1.5 goals.

Klubi-04 drew at half-time in all of their home matches (2 of 2, 100%) and have an average goals at half-time of 0.0, while scoring an average of 1.5 goals in the second half (scoredAVGHT_home 0.0; scored_2hg_avg_home 1.5). The hosts win all home matches (winPercentage_home 100.0) and win the second half in 100% of cases (wins_2hg_percentage_home 100.0), which strongly supports a turnaround after the break. KTP averages 0.25 goals at half-time and concedes 0.5 goals at half-time (scoredAVGHT_away 0.25; concededAVGHT_away 0.5), and their attacking xG is 1.63 versus 1.81 for the hosts, so the away side is less threatening in the first half. Additionally, the hosts’ conversion rate is 10% versus 6% for the visitors (shot_conversion_rate_home 10.0; shot_conversion_rate_away 6.0) and most of the hosts’ goals come after the 60th minute (2 goals in 61–75 and 1 in 76–90), which confirms the scenario of a lead at the break for a Klubi-04 turnaround. I therefore consider X/1 the most probable Half-Time/Full-Time outcome.