| KLBp vs Jin | 90–99 | 47.62% |
| KLBp vs Kazuya | 81–78 | 50.94% |
| KLBp vs King | 63–83 | 43.15% |
| KLBp vs Bryan | 69–65 | 51.49% |
| KLBp vs Hwoarang | 59–65 | 47.58% |
| KLBp vs Reina | 61–60 | 50.41% |
| KLBp vs Heihachi | 49–71 | 40.83% |
| KLBp vs Law | 34–70 | 32.69% |
| KLBp vs Lili | 45–54 | 45.45% |
| KLBp vs Dragunov | 37–50 | 42.53% |
| KLBp vs Steve | 36–45 | 44.44% |
| KLBp vs Asuka | 38–39 | 49.35% |
| KLBp vs Eddy | 28–47 | 37.33% |
| KLBp vs Paul | 38–36 | 51.35% |
| KLBp vs Jun | 30–41 | 42.25% |
| KLBp vs Lidia | 24–39 | 38.10% |
| KLBp vs Clive | 18–42 | 30.00% |
| KLBp vs Nina | 24–35 | 40.68% |
| KLBp vs Lars | 27–30 | 47.37% |
| KLBp vs Lee | 21–35 | 37.50% |
| KLBp vs Victor | 20–36 | 35.71% |
| KLBp vs Devil Jin | 26–21 | 55.32% |
| KLBp vs Alisa | 25–22 | 53.19% |
| KLBp vs Azucena | 20–25 | 44.44% |
| KLBp vs Yoshimitsu | 20–24 | 45.45% |
| KLBp vs Xiaoyu | 20–21 | 48.78% |
| KLBp vs Jack-8 | 17–21 | 44.74% |
| KLBp vs Feng | 16–22 | 42.11% |
| KLBp vs Leo | 14–19 | 42.42% |
| KLBp vs Leroy | 17–16 | 51.52% |
| KLBp vs Anna | 17–15 | 53.12% |
| KLBp vs Kuma | 8–18 | 30.77% |
| KLBp vs Raven | 6–12 | 33.33% |
| KLBp vs Zafina | 11–6 | 64.71% |
| KLBp vs Claudio | 7–8 | 46.67% |
| KLBp vs Shaheen | 5–3 | 62.50% |
| KLBp vs Panda | 3–2 | 60.00% |
| KLBp vs Fahkumram | 1–4 | 20.00% |
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.