Dunav 2010 vs Yantra 2019: match statistics

I back the home win (1). Dunav 2010 lead the table with a season record of 19 wins, 9 draws and 2 losses and 51 goals scored; at home they have won 73% of matches and remain unbeaten at home (0% losses). In home fixtures Dunav concedes only 0.2 goals per game on average and keeps 87% clean sheets, scores 1.87 goals on average with xG 1.56 and 7.2 shots on target, whereas Yantra on the road averages 1.4 goals per game, xG 1.29, 4.67 shots on target and concedes 0.8 goals per game on average. Yantra 2019, however, have the better recent run (3 wins and 2 draws in 5 matches, averaging 2.2 points per game) compared to Dunav (1 win, 3 draws, 1 loss and 1.2 points per game), which increases the upset risk. Considering the hosts’ dominant defense and the advantage in xG and clear chances, I estimate probabilities of 60% for Dunav, 25% for a draw and 15% for Yantra.

I forecast No BTTS with a 62% probability versus 38% for BTTS. Dunav has a 53% clean sheet rate and concedes on average 0.73 goals this season (14 conceded), while Yantra has 47% clean sheets and concedes 0.8 on average (23 conceded), which together favors at least one clean sheet. Although both teams can score — Dunav averages 1.33 goals per game, Yantra 1.4 — Dunav’s seasonal BTTS is only 33% versus Yantra’s 47%, and the league BTTS rate is 46%, so BTTS occurs in under half of matches. Dunav generates higher xG (1.61 vs 1.29) and more shots on target (6.8 vs 4.67), but their actual goals conceded are lower than expected (xG_against 1.29 vs actual 0.73), suggesting a defensive edge for the home side; Yantra has conceded only 3 goals in the last 5 matches (0.6 per game), but that does not offset Dunav’s season-long defensive advantage. In summary, considering 53% vs 47% clean sheets, seasonal BTTS 33% vs 47% and a high league clean sheet rate of 65%, the 'No' (No Goal) option appears the strongest signal.

Aggregate xG indicates about 2.78 expected goals: Dunav has xG_for 1.61 and Yantra xG_against 1.35 giving the home side ~1.48 xG, while Yantra has xG_for 1.29 and Dunav xG_against 1.29 translating to ~1.30 xG for the visitors (total 2.78). This season Dunav averages 1.33 goals and Yantra 1.40, but both teams have only 40% of matches Over 2.5 goals, which historically favors the under 2.5. With an expected 2.78 goals the Poisson distribution yields a high probability of at least 2 goals (around 77%), therefore I rate Over 1.5 at ~76%. Over 2.5 is noticeably less certain — despite xG>2.5 the seasonal Over2.5 is 40% for both, so I assign it a moderate 46% chance. The strongest signal, however, is for Under 3.5: seasonal Over3.5 is only 20% (Dunav) and 27% (Yantra), averaging ~24%, and the expected total of 2.78 is well below 3.5, hence the recommendation to play Under 3.5 (under ~76%).

Dunav 2010 leads at the break in 6 of 15 matches (40%) and scores an average of 0.67 goals by half-time versus Yantra’s 0.53; concurrently Yantra concedes 4 goals in minutes 0–15 and 5 in 16–30 (9 conceded before the 30th minute), which increases the hosts’ chances of securing a lead at the break. Nevertheless, the second act belongs to the visitors: Yantra wins second halves in 67% of matches, averaging 2.33 points per second half this part of the season (35 points) and posting a +12 goal difference in second halves — indicating a strong turnaround capability. Additionally, Yantra has better overall metrics: season win rate 60% versus Dunav’s 47% and last 5 matches show 60% wins for Yantra vs 20% for Dunav; although Dunav has higher xG (1.61 vs 1.29), Yantra is more efficient in shot conversion (15% vs 12%). Given Yantra’s defensive weakness in minutes 0–30 and its dominance after the break, the model prefers the 1/2 scenario (home lead at half-time, away win at full-time) with a probability of 28%, while alternative strong signals are X/2 at 19% and 1/1 at 14%.