Oulu vs VPS: match statistics

The favorite is Oulu (1st), who in the season have 2 wins, 0 draws and 0 losses with a goal record of 6 scored and 1 conceded, reflecting a strong league position. In their last 5 matches Oulu have scored 10 goals and recorded 3 wins (form 'wlwwl'), but have conceded 6 goals, whereas VPS in their last five fixtures have scored as many as 17 goals and conceded only 1, achieving 1.6 points per match versus Oulu's 1.8. However, quality of chances speaks against the visitors — VPS have an away xG of just 0.29 and xG against of 1.7, which suggests the high goal return over five games is not backed by creating many high-value opportunities. Additionally, in the provided data VPS officially show 0 goals in the seasonal record and a 100% draw rate on the road, which increases the likelihood of a point split but does not eliminate the home side's advantage; therefore I expect a narrow Oulu victory.

Oulu have BTTS in 80% of their last 5 matches (4/5), whereas VPS have BTTS 0% in the same period and conceded only 1 goal (0.2 per match), which significantly reduces the likelihood of a both-teams-to-score scenario. Seasonally both teams record 100% clean sheets (sic) and league-wide matches without conceding account for 75%, so the longer-term trend favors no BTTS. In xG terms over the last 5 matches the home side have average attacking xG 1.32, the visitors have attacking xG 0.91, and xG against is 1.47 for Oulu and 1.35 for VPS; although Oulu creates chances, VPS have actually scored 17 goals in 5 matches (3.4 per match) while rarely conceding (0.2), indicating an effective, tight away defense. Season-long shots and xG stats (Oulu 7.0 shots and xG 1.03 vs VPS 1.0 shot and xG 0.29) show greater attacking activity from the hosts but do not offset VPS’s dominance in clean sheets. Given these numbers I assign 70% to 'no' and 30% to 'yes' and recommend the "no" (No Goal) bet as the strongest signal.

The analysis is based on xG and form from the last 5 matches: season attacking xG for Oulu is 1.03, VPS attacking xG is 0.29, while conceded xG is 2.11 for Oulu and 1.70 for VPS. Averaging attack–concede pairs from the season and the last 5 matches ((1.03+1.70)/2 and (0.29+2.11)/2 and similarly (1.32+1.35)/2 and (0.91+1.47)/2) yields expected goals ≈1.35 for Oulu and ≈1.20 for VPS, total ≈2.55. Additionally, in the last 5 matches Oulu scored on average 2.0 goals and VPS 3.4 goals (total 5.4), while the combined xG of those five matches is 1.32+0.91=2.23, indicating a tendency toward results higher than xG suggests. As a result the strongest signal is Over on the 1.5 line (estimated Over ≈94%), the 2.5 line also slightly favors Over (≈60%), whereas Over 3.5 is less likely (≈28%). Therefore I recommend playing Over 1.5 as the safest choice, and optionally consider Over 2.5 if accepting higher risk.

Seasonal statistics strongly indicate a draw: both teams have 100% draws at half-time (drawingAtHTPercentage_home 100.0 and drawingAtHTPercentage_away 100.0) and 100% full-time draws (drawPercentage_home 100.0 and drawPercentage_away 100.0), which favors the X/X scenario. Additionally, both teams have kept clean sheets in 100% of the season (seasonCSPercentage_home 100.0 and seasonCSPercentage_away 100.0) and have 0% of matches with both teams scoring (seasonBTTSPercentage_home 0.0 and seasonBTTSPercentage_away 0.0), hence the forecast of a low-scoring game and a high share for X/X (58%). However, the home side creates more chances: xG 1.03 versus 0.29 for the visitors (xg_for_avg_home 1.03 vs xg_for_avg_away 0.29), on average 7 shots versus 1 (shotsAVG_home 7.0 vs shotsAVG_away 1.0) and 2 shots on target versus 0 (shotsOnTargetAVG_home 2.0 vs shotsOnTargetAVG_away 0.0), which justifies a moderate 14% for X/1 (draw at the break, home win). In the last 5 matches the hosts have a 60% win rate versus 40% for the away side (last5_winPercentage_overall_home 60.0 vs last5_winPercentage_overall_away 40.0), and average goals at half-time of 0.6 vs 1.8 (last5_scoredAVGHT_overall_home 0.6 vs last5_scoredAVGHT_overall_away 1.8) add uncertainty, so other scenarios carry low but non-zero probabilities.