Home runs are our holy grail whether for MLB or KBO DFS. Finding the right combination of sluggers who will knock one, or better two, out of the park to drive in the teammates you stack with them is critical to winning GPPs. Identifying the likely home run hitters is trickier than just looking at the big names. Using a model of my own design, based on a blend of several predictive statistics for the batter-pitcher matchup, I’m going to give a few of the top choices each day.
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These are not percentages, just totals on a scale that typically runs into the mid-twenties on the high end. On teams where there are very chalky obvious cleanup hitters, Byung-ho Park from Kiwoom, for example, I will try to pick another option sometimes, but they will reliably come from each team’s top two. KBO DFS players should work these options into team stacks or use them as one-offs.
KBO DFS Home Run Ratings
Doosan Bears: Jae-il Oh – 14.62 (pending return from IL)
Hanwha Eagles: Yong-kyu Lee – 9.53
Kia Tigers: Ji-wan Na – 17.32 –
Kiwoom Heroes: Ha-seong Kim – 11.48
KT Wiz: Baek-ho Kang – 15.96
LG Twins: Hyun-soo Kim – 9.98
Lotte Giants: Jun-woo Jeon – 19.86
NC Dinos: Aaron Altherr – 18.91
Samsung Lions: Dong-yeop Kim – 21.49
SK Wyverns: Jamie Romak – 21.48
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