| K1NG_PEBA vs King | 32–51 | 38.55% |
| K1NG_PEBA vs Jin | 28–49 | 36.36% |
| K1NG_PEBA vs Armor King | 18–48 | 27.27% |
| K1NG_PEBA vs Kazuya | 22–42 | 34.38% |
| K1NG_PEBA vs Hwoarang | 26–28 | 48.15% |
| K1NG_PEBA vs Fahkumram | 23–31 | 42.59% |
| K1NG_PEBA vs Law | 25–26 | 49.02% |
| K1NG_PEBA vs Eddy | 26–25 | 50.98% |
| K1NG_PEBA vs Steve | 21–26 | 44.68% |
| K1NG_PEBA vs Bryan | 14–21 | 40.00% |
| K1NG_PEBA vs Jun | 17–17 | 50.00% |
| K1NG_PEBA vs Lili | 14–19 | 42.42% |
| K1NG_PEBA vs Reina | 11–22 | 33.33% |
| K1NG_PEBA vs Heihachi | 15–17 | 46.88% |
| K1NG_PEBA vs Dragunov | 13–18 | 41.94% |
| K1NG_PEBA vs Azucena | 15–15 | 50.00% |
| K1NG_PEBA vs Devil Jin | 18–11 | 62.07% |
| K1NG_PEBA vs Yoshimitsu | 8–20 | 28.57% |
| K1NG_PEBA vs Paul | 16–11 | 59.26% |
| K1NG_PEBA vs Clive | 11–16 | 40.74% |
| K1NG_PEBA vs Lars | 11–12 | 47.83% |
| K1NG_PEBA vs Feng | 10–12 | 45.45% |
| K1NG_PEBA vs Victor | 8–12 | 40.00% |
| K1NG_PEBA vs Xiaoyu | 9–9 | 50.00% |
| K1NG_PEBA vs Nina | 5–12 | 29.41% |
| K1NG_PEBA vs Asuka | 4–12 | 25.00% |
| K1NG_PEBA vs Jack-8 | 6–9 | 40.00% |
| K1NG_PEBA vs Leo | 4–11 | 26.67% |
| K1NG_PEBA vs Lidia | 5–10 | 33.33% |
| K1NG_PEBA vs Alisa | 3–11 | 21.43% |
| K1NG_PEBA vs Kuma | 3–11 | 21.43% |
| K1NG_PEBA vs Lee | 1–12 | 7.69% |
| K1NG_PEBA vs Leroy | 2–10 | 16.67% |
| K1NG_PEBA vs Claudio | 2–8 | 20.00% |
| K1NG_PEBA vs Anna | 6–3 | 66.67% |
| K1NG_PEBA vs Panda | 1–5 | 16.67% |
| K1NG_PEBA vs Zafina | 2–3 | 40.00% |
| K1NG_PEBA vs Raven | 2–0 | 100.00% |
| K1NG_PEBA vs Shaheen | 0–1 | 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.