Rudeš vs Sesvete: match statistics

I back the home win: Rudeš has a 69% home win rate, averaging 1.5 goals scored and only 0.69 conceded per home match. At home Rudeš posts xG 1.63 with 12.75 shots and 4.69 on target, versus Sesvete’s away xG 1.1 with 7.29 shots and 3.43 on target, indicating Rudeš creates clearly more chances. Visitors have higher finishing efficiency (conversion 17% vs 12%), but concede 1.0 goal on average away and register 21% of away matches without scoring, whereas Rudeš concedes 0.69 and has just 13% FTS at home. In the last 5 matches Rudeš scored 11 and conceded 4, averaging 2.0 points per game, while Sesvete scored 9 and conceded 6 with 1.8 points per game, confirming a slight home-form advantage. Considering the superior xG (1.63 vs 1.1), higher clean sheet rate at home (56% vs 43%) and favorable home goal difference (+13 vs +3 for the visitors), I assess probabilities: home 60%, draw 22%, away 18%.

I rate BTTS - No as more likely: 62% vs 38% for BTTS - Yes. Rudeš at home has only 41% BTTS and 53% clean sheets, conceding 0.59 goals per game on average, indicating hosts often keep a clean sheet. Sesvete has a seasonal BTTS of 43% and 60% BTTS in the last 5 matches, but their goals average 1.21 and xG 1.10 are lower than Rudeš’s attack (1.41 and xG 1.39), so the risk of the away side scoring is moderate. Additionally, the league shows a high clean sheet rate of 63% and 2.34 goals per game on average, and Rudeš averages 10.31 shots (4.38 on target) versus Sesvete’s 7.29 (3.43), which reinforces the hosts’ control and reduces the likelihood of a Goal/Goal. Considering these figures — hosts’ high CS rate 53%, low average goals conceded 0.59 and relatively low seasonal BTTS 41–43% — the No Goal scenario carries a stronger signal.

xG-based model: Rudeš has xG_for 1.39 and xG_against_away 1.20, yielding an expected ~1.30 goals for the home side; Sesvete has xG_for 1.10 and xG_against_home 1.20, translating to ~1.15 xG for the visitors, totaling 2.45 expected xG. Under a Poisson distribution with lambda=2.45 the probability of Over 1.5 is ~70%, Over 2.5 ~44%, and Over 3.5 only ~23%. Seasonal metrics also point to moderate scoring potential: Over 2.5 occurred in 41% of Rudeš matches and 29% of Sesvete matches, while Over 3.5 occurred in just 6% and 14% respectively, arguing against a high-scoring game. Additionally Rudeš keep a clean sheet in 53% of matches and BTTS rates are 41% and 43% for the two sides, which limits the likelihood of a very high scoreline; therefore the recommendation is Under 3.5 as the strongest signal (Under 3.5 ~77% according to the model and season data).

The most likely scenario appears to be a half-time draw followed by a home win (X/1), because the home side were level at the break in 47% of matches and the visitors in 43%, indicating a high frequency of draws in the first 45 minutes. After the break Rudeš has a stronger profile: average xG for the home team is 1.39 versus 1.10 for the away side, and the average points gained in the second half are 1.76 for the hosts and 1.29 for Sesvete, suggesting the hosts more often produce the decisive turnaround after the break. The hosts record on average 10.31 shots with 4.38 on target, while the visitors have 7.29 shots and 3.43 on target, and the home defence concedes on average 0.59 goals per match versus 1.00 for the visitors — these figures support a Rudeš victory following a half-time draw. At the same time, the high percentage of clean halves to half-time (76% for the home side and 64% for the away side) and the low average first-half goals (0.59 for the home team and 0.64 for the away team) also explain the notable weight of X/X scenarios (25%) and 1/1 (15%). Therefore my primary pick is X/1 with a probability of 35%, and the remaining combinations are distributed according to the lower likelihood of a score change after half-time.