| KMS 박엘비 vs Dragunov | 107–49 | 68.59% |
| KMS 박엘비 vs Hwoarang | 91–60 | 60.26% |
| KMS 박엘비 vs Bryan | 80–54 | 59.70% |
| KMS 박엘비 vs King | 58–67 | 46.40% |
| KMS 박엘비 vs Reina | 72–53 | 57.60% |
| KMS 박엘비 vs Azucena | 59–58 | 50.43% |
| KMS 박엘비 vs Kazuya | 66–46 | 58.93% |
| KMS 박엘비 vs Steve | 56–53 | 51.38% |
| KMS 박엘비 vs Xiaoyu | 60–41 | 59.41% |
| KMS 박엘비 vs Lili | 56–44 | 56.00% |
| KMS 박엘비 vs Victor | 45–51 | 46.88% |
| KMS 박엘비 vs Nina | 47–46 | 50.54% |
| KMS 박엘비 vs Lee | 46–47 | 49.46% |
| KMS 박엘비 vs Jin | 44–47 | 48.35% |
| KMS 박엘비 vs Feng | 45–46 | 49.45% |
| KMS 박엘비 vs Yoshimitsu | 49–41 | 54.44% |
| KMS 박엘비 vs Asuka | 42–37 | 53.16% |
| KMS 박엘비 vs Law | 42–34 | 55.26% |
| KMS 박엘비 vs Alisa | 42–34 | 55.26% |
| KMS 박엘비 vs Eddy | 32–41 | 43.84% |
| KMS 박엘비 vs Devil Jin | 31–41 | 43.06% |
| KMS 박엘비 vs Jack-8 | 37–28 | 56.92% |
| KMS 박엘비 vs Jun | 25–39 | 39.06% |
| KMS 박엘비 vs Paul | 35–24 | 59.32% |
| KMS 박엘비 vs Claudio | 34–23 | 59.65% |
| KMS 박엘비 vs Leroy | 38–16 | 70.37% |
| KMS 박엘비 vs Lars | 20–29 | 40.82% |
| KMS 박엘비 vs Shaheen | 24–25 | 48.98% |
| KMS 박엘비 vs Leo | 25–20 | 55.56% |
| KMS 박엘비 vs Armor King | 19–22 | 46.34% |
| KMS 박엘비 vs Kuma | 19–20 | 48.72% |
| KMS 박엘비 vs Zafina | 25–12 | 67.57% |
| KMS 박엘비 vs Raven | 16–20 | 44.44% |
| KMS 박엘비 vs Fahkumram | 20–12 | 62.50% |
| KMS 박엘비 vs Anna | 8–12 | 40.00% |
| KMS 박엘비 vs Miary Zo | 7–11 | 38.89% |
| KMS 박엘비 vs Panda | 6–10 | 37.50% |
| KMS 박엘비 vs Lidia | 2–7 | 22.22% |
| KMS 박엘비 vs Heihachi | 1–4 | 20.00% |
| KMS 박엘비 vs Clive | 0–5 | 0.00% |
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.