Viitorul Şelimbăr vs Tunari: match statistics

Viitorul Şelimbăr has an offensive edge at home: on average 1.64 goals per game with xG 1.49 and 4.55 shots on target, while Tunari away records 0.83 goals with xG 1.04 and 2.42 shots on target. Visitors have a high share of away matches without scoring — 42% — and only 8% away wins, whereas hosts fail to score at home in only 18% of matches and win at home in 45%. In the last 5 matches Tunari scored 6 goals (2 wins, 1 draw, 2 losses, averaging 1.4 points per game), and Viitorul has only 2 goals in five matches (1 win, 2 draws, 2 losses, averaging 1.0 points per game), which indicates better recent efficiency from the visitors but against weaker away metrics. Defensively the hosts also perform better: Viitorul concedes 1.27 goals at home, while Tunari concedes 1.58 away, and opponents generate on average xG 1.73 against Tunari versus xG 1.42 against Viitorul. Considering higher home conversion (14% vs 10%), a greater number of shots on target and a lower share of matches without a goal for Viitorul, I predict a home win; proposed probability distribution is 60% home, 25% draw, 15% away.

Both teams have season BTTS rates of 62% (Viitorul Şelimbăr) and 58% (Tunari), averaging 60%, which is a strong signal in favor of BTTS - Yes. However, in the last 5 matches the home side posts just 20% BTTS and averages 0.4 goals (2 goals in last 5), while the visitors have 60% BTTS and average 1.2 goals (6 goals in last 5), casting doubt on the home form. Season goals averages show the home team scores 0.92 and concedes 1.85 per match (28 scored, 38 conceded), and the visitors score 0.83 and concede 1.58 (22 scored, 43 conceded), indicating both teams are prone to conceding. This is supported by xG: home xG 1.4 vs xG against 2.05, visitors 1.04 vs 1.73, and a very low clean sheet rate — only 8% for both teams — which increases the likelihood of goal exchange. Considering the season 60% BTTS, the low 8% clean sheet rate, and the mixed recent form (home drop vs visitors 60% in last 5), I estimate a 62% probability for "yes" and 38% for "no", therefore I recommend BTTS - Yes.

Both teams have a high share of matches with at least 2 goals: Viitorul Şelimbăr records 85% of games with over 1.5, and Tunari 83%, so the forecast favors over 1.5. The xG-based model (home xG 1.40, away xG 1.04) and xG against opponents (1.73 for Tunari and 2.05 for Viitorul) yields expected 1.57 goals for the home side and 1.54 for the away side, totaling 3.11 goals. That aggregate level of 3.11 translates under a Poisson distribution to roughly a 60% chance of Over 2.5 goals and about 38% for Over 3.5. Additionally, the share of matches in which both teams scored is 62% for the home team and 58% for the visitors, and the home side averages 3.69 on-target shots versus 2.42 for the visitors, which increases the probability of goals from both sides. Therefore I recommend a bet on Over 1.5 as the strongest signal (seasonal 85% and expected 3.11 goals); Over 2.5 (~60%) is feasible but less secure.

I pick 2/2 (away team leading at half-time and winning full-time) as the most likely scenario because the home team were trailing at half-time in 62% of their matches this season and did not lead at half-time at all (62.0% trailingAtHT_home, leadingAtHT_home = 0.0). The away team led at the break in 25% of matches this season and in 40% of their last five (leadingAtHTPercentage_away = 25.0, last5_leadingAtHTPercentage_overall_away = 40.0), and in the last five games they scored 8 goals before half-time versus 2 for the hosts (last5_GoalsHT_overall_away = 8.0 vs last5_GoalsHT_overall_home = 2.0). First-half metrics also favor the visitors: average first-half goals are 0.5 for the away side versus 0.15 for the home side, while the hosts concede on average 1.08 goals before half-time and have as many as 9 goals conceded in the 31–45 minute interval (scoredAVGHT_away = 0.5 vs scoredAVGHT_home = 0.15; concededAVGHT_home = 1.08; goals_conceded_min_31_to_45_home = 9.0). The final result is also influenced by the visitors’ better form over the last five matches (40% wins vs 20% for the home team; last5_winPercentage_overall_away = 40.0 vs last5_winPercentage_overall_home = 20.0) and a higher scoring average in the last five (1.2 vs 0.4), which supports an away victory. Nevertheless, I assign significant weight to 2/1 and X/2 scenarios because the home team have strong second-half statistics (on average 0.77 goals in the second half and a high share of victories related to the second half ~54%), so a home turnaround or an equalizer after the break is realistic.