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    Soccer> Community> Pi314>

    Silkeborg IF VS Odense BK

    Denmark Superliga
    Analysis More Tips
    Silkeborg IF
    Silkeborg IF
    Odense BK
    Odense BK
    Further Reading
    • SUNYANI MAYOR🦉🎶
      SUNYANI MAYOR🦉🎶
      In recent form, Odense has shown remarkable strength in contrast to Silkeborg's relatively lackluster offensive display. Silkeborg struggles with a low offensive efficiency. Their conversion rate at the end of attacks stands at just 12%, and the xG efficiency is 0.74. This indicates a significant issue in turning attacking opportunities into goals. On the other side, Odense is a force to be reckoned with. Their offensive conversion rate is 28%, and the xG efficiency reaches 1.35, suggesting a much more potent attacking force. In passing analysis, Odense shines with an 88% success rate of key passes. The value of their front - field passes has notably enhanced the offensive threat. In terms of midfield control, Odense dominates with a 65% ball - possession rate. They are also highly efficient in transitions, with an average counter - attack time of just 8 seconds. Looking at the running data, Odense has a clear physical edge. They cover a total distance of 118 km and have 38 high - inte
      O/U
      DEN SASL Silkeborg IF - Odense BK
    • Mr_H0llyc
      Mr_H0llyc
      Silkeborg enter this match on the back of a mixed run. They have recorded 5 wins from 11 matches this season, a 45% win rate, while averaging an impressive 3.18 goals scored per game but conceding 1.64 on average. However, their recent form has been inconsistent—they have won just 2 of their last 5 matches (40% win rate), scoring 11 goals and conceding 10 during that period. Odense, meanwhile, have won 50% of their 10 matches, averaging 1.80 goals scored and 1.70 conceded per game. Their form has been volatile; they opened the season with a win but followed it with a loss. In their last five competitive matches, they have shown inconsistency, with results including a loss to Viborg FF. The historical head-to-head data strongly favors Odense. Across 91 total meetings, Odense have won 38 times, Silkeborg 28, with 25 draws. In their last 25 encounters, Silkeborg have won 9, Odense 7, and 9 ended in draws. However, the most recent meetings in 2026 tell a different story: Silkeborg defeat
      AH
      DEN SASL Silkeborg IF - Odense BK
    • Adin Reports
      Adin Reports
      Silkeborg's offensive conversion rate this season stands at only 12%, below the league average. Odense is even worse, dropping to 10%. In terms of key pass success rate, Silkeborg's 74% is better than Odense's 68%. However, the value of forward passes for both teams fails to exceed 0.3 times per pass, indicating a mediocre offensive organization efficiency. Silkeborg leads the league with an average of 198 high - intensity sprints per game. Odense, on the other hand, controls the game tempo by maintaining an average of 62% midfield ball possession. But in their last three head - to - head encounters, only two goals were scored. Considering these factors, the upcoming match between the two teams might feature a rather low - scoring and closely - contested game. The offensive inefficiencies of both sides could lead to a defensive battle, and it will be interesting to see which team can break the deadlock and find the back of the net. Both teams have strong defensive records in the Danish
      O/U
      DEN SASL Silkeborg IF - Odense BK
    More Recommend
    • Both Kapadie and LNZ Cherkasy have shown an active performance on the offensive end recently. Their offensive conversion rates stand at 14.2% and 16.8% respectively, both higher than the league average. In terms of key pass success rate, LNZ leads with 78.3%, and the value of its front - field passes is 23% higher. In midfield control, LNZ has an average ball possession rate of 56.4%, a short - pass success rate of 89.1%, and a fast - counterattack speed of 12.7m/s, which is significantly faster than its opponent. Looking at the running data, LNZ has 156 high - intensity sprints throughout the game and covers a distance of 118.4 kilometers, far exceeding Kapadie's 132 sprints and 112.1 kilometers. LNZ clearly has an advantage in terms of physical fitness and pressing rhythm. I invite you to follow me and join the core group! LNZ has been in excellent defensive form recently. They average 8.9 tackles, 6.3 interceptions, and 11.7 clearances per game. These three defensive statistics ou
      O/U
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    • Mura has been struggling in their recent offensive performance. In their last five matches, their average offensive conversion rate is only 6.2%, and their expected goals efficiency is 18% lower than the league average. Their attack often relies on individual players' solo efforts. On the other hand, Radomlje leads the league with an offensive conversion rate of 12.7%. Their expected goals per 90 minutes reach 1.43, far exceeding Mura's 0.89. They also have a key pass success rate of 83.4% and a front - field passing value index of 27.1, significantly better than Mura's 69.1% and 18.4. This shows that Radomlje has a more well - structured offensive organization. If you're interested in more in - depth analysis, you can follow me for continuous updates. Redomić shows remarkable performance on both offense and defense. In terms of midfield control, Redomić has a ball possession rate of 58.7% and a short - pass success rate of 91.3% per game. The speed of initiating fast - counter attac
      AH
      SLO D1 NK Mura 05 - Radomlje
    • Kluge is playing at home. In terms of the offensive end, its conversion rate of offensive finishes reaches as high as 18.7%, far exceeding Cluj University's 9.2%. Its expected goals efficiency (xG/Offensive Finish) is 0.16, ranking among the top five in the league. The key pass success rate of Kluge is 73.4%, and the front - court passing value index reaches 12.8, significantly better than the opponent's 61.1% and 8.9. In terms of midfield control, Kluge has a ball - possession rate of 62%. The average short - pass success rate is 91.3%, and the speed of fast - break advancement reaches 28.4 km/h, far exceeding the opponent's 21.1 km/h. In running data, Kluge has a total of 412 high - intensity sprints throughout the game, and the average running distance reaches 112.3 kilometers. Its physical fitness reserve and coverage density are clearly superior. Join me to stay updated on more match analyses! Cluj has been solid at the back, averaging 8.7 tackles, 6.3 interceptions, and 14.1 cl
      AH
      ROM D1 CFR Cluj - Universitaea Cluj
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