| Lo-Kenn vs Jin | 54–51 | 51.43% |
| Lo-Kenn vs Kazuya | 57–24 | 70.37% |
| Lo-Kenn vs Hwoarang | 46–19 | 70.77% |
| Lo-Kenn vs Reina | 34–26 | 56.67% |
| Lo-Kenn vs Steve | 29–27 | 51.79% |
| Lo-Kenn vs Law | 31–21 | 59.62% |
| Lo-Kenn vs Bryan | 33–16 | 67.35% |
| Lo-Kenn vs Yoshimitsu | 19–27 | 41.30% |
| Lo-Kenn vs Lee | 27–18 | 60.00% |
| Lo-Kenn vs Dragunov | 24–20 | 54.55% |
| Lo-Kenn vs King | 22–20 | 52.38% |
| Lo-Kenn vs Eddy | 24–17 | 58.54% |
| Lo-Kenn vs Heihachi | 25–10 | 71.43% |
| Lo-Kenn vs Paul | 19–13 | 59.38% |
| Lo-Kenn vs Azucena | 22–9 | 70.97% |
| Lo-Kenn vs Lili | 13–14 | 48.15% |
| Lo-Kenn vs Nina | 15–12 | 55.56% |
| Lo-Kenn vs Asuka | 14–12 | 53.85% |
| Lo-Kenn vs Devil Jin | 17–7 | 70.83% |
| Lo-Kenn vs Claudio | 14–8 | 63.64% |
| Lo-Kenn vs Alisa | 7–14 | 33.33% |
| Lo-Kenn vs Jack-8 | 8–12 | 40.00% |
| Lo-Kenn vs Fahkumram | 14–6 | 70.00% |
| Lo-Kenn vs Clive | 9–10 | 47.37% |
| Lo-Kenn vs Lars | 9–9 | 50.00% |
| Lo-Kenn vs Leroy | 12–6 | 66.67% |
| Lo-Kenn vs Jun | 14–3 | 82.35% |
| Lo-Kenn vs Armor King | 11–5 | 68.75% |
| Lo-Kenn vs Xiaoyu | 10–4 | 71.43% |
| Lo-Kenn vs Feng | 9–4 | 69.23% |
| Lo-Kenn vs Anna | 8–3 | 72.73% |
| Lo-Kenn vs Raven | 6–4 | 60.00% |
| Lo-Kenn vs Lidia | 8–2 | 80.00% |
| Lo-Kenn vs Kuma | 1–6 | 14.29% |
| Lo-Kenn vs Zafina | 3–4 | 42.86% |
| Lo-Kenn vs Victor | 5–2 | 71.43% |
| Lo-Kenn vs Miary Zo | 4–3 | 57.14% |
| Lo-Kenn vs Shaheen | 4–2 | 66.67% |
| Lo-Kenn vs Leo | 4–1 | 80.00% |
| Lo-Kenn vs Panda | 1–2 | 33.33% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.