Kecskeméti TE vs Tiszakécske: match statistics

Tiszakécske is the slight favorite: they sit 11th in the table versus Kecskeméti’s 15th and have a higher recent points average — 1.4 points per game vs 1.2 for the hosts. Over the last 5 matches the hosts record 2 wins and 3 losses, scoring 9 and conceding 10, while the visitors have 2 wins, 1 draw and 2 losses with 6 scored and 8 conceded. On the season Kecskeméti have 1 scored and 3 conceded, and Tiszakécske 1 scored and 1 conceded, indicating greater defensive stability for the visitors. This means the hosts have been more effective offensively recently (9 vs 6) but also more exposed at the back (10 vs 8), so the balance of probability favors a win for the visitors.

A strong signal for BTTS - Yes comes from the last 5 matches: the home team had BTTS in 80% of games and the away team in 60%, yielding a simple average of 70%. This is supported by goals and xG numbers: the home side scores 1.8 and concedes 2.0 on average in the last 5, the visitors score 1.2 and concede 1.6; last 5 xG are 1.69 for the home team and 1.61 for the away, while xG against is 1.05 vs 1.48, indicating both teams create and allow chances. Season-long stats are divergent (seasonal BTTS 100% vs 0%, seasonal goals per game 1.0 vs 0.0 and clean sheet percentage 0%), so I place greater weight on form over the last 5 matches. Additionally, the league averages 2.5 goals per match with a seasonal BTTS rate of 50%, and given the 1.69/1.61 xG I assess BTTS probability slightly above the simple average estimate — hence 72% for "Yes" and 28% for "No".

I estimate the home side will score on average 1.59 goals and the away side 1.33, yielding a total of 2.92 goals — values calculated as averages from recent xG: home xG_for 1.69 and away xG_against 1.48 (average 1.59) and away xG_for 1.61 and home xG_against 1.05 (average 1.33). The expected total of 2.92 is above the league average of 2.5, and in the last 5 matches the home team scored 9 and conceded 10 (avg. 1.8 scored and 2.0 conceded), while the away team had 6 scored and 8 conceded (avg. 1.2/1.6). A Poisson model with λ=2.92 gives probability of ≥2 goals (Over 1.5) ≈79%, ≥3 goals (Over 2.5) ≈56% and ≥4 goals (Over 3.5) ≈33%. Considering 100% of the home team’s last 5 matches had over 2.5 goals and BTTS rates of 80% for the home side and 60% for the away, the strongest signal is a bet on Over 1.5 (79% probability).

The hosts led at half-time in 100% of their home matches (leadingAtHTPercentage_home = 100.0) and average 1.0 goal by the break (scoredAVGHT_home = 1.0), which strongly indicates a Kecskeméti TE lead at 45 minutes. At the same time the hosts concede an average of 1.0 goals in the second half (conceded_2hg_avg_home = 1.0) and all their season home matches finished level (drawPercentage_home = 100.0), suggesting they lose the lead after the break. The away side in their last 5 matches average 0.6 goals in the second half (last5_scored_2hg_avg_overall_away = 0.6) and win the second half in 60% of cases (last5_wins_2hg_percentage_overall_away = 60.0), confirming their ability to stage a turnaround. Additionally, 100% of the hosts’ home matches had at least 1 goal by half-time (seasonOver05PercentageHT_home = 100.0), so the combination of leading at the break and drawing after 90 minutes is justified. Therefore HT/FT 1/X (lead at half-time by the hosts, draw after 90 minutes) is my recommended scenario.