| kearnh vs Paul | 22–25 | 46.81% |
| kearnh vs Asuka | 19–19 | 50.00% |
| kearnh vs Kazuya | 11–23 | 32.35% |
| kearnh vs Armor King | 11–23 | 32.35% |
| kearnh vs Reina | 15–18 | 45.45% |
| kearnh vs Dragunov | 12–20 | 37.50% |
| kearnh vs Hwoarang | 13–12 | 52.00% |
| kearnh vs Steve | 9–15 | 37.50% |
| kearnh vs Victor | 13–11 | 54.17% |
| kearnh vs Miary Zo | 5–17 | 22.73% |
| kearnh vs Bryan | 9–12 | 42.86% |
| kearnh vs King | 9–11 | 45.00% |
| kearnh vs Shaheen | 6–13 | 31.58% |
| kearnh vs Heihachi | 8–11 | 42.11% |
| kearnh vs Law | 4–14 | 22.22% |
| kearnh vs Jin | 9–9 | 50.00% |
| kearnh vs Lidia | 5–13 | 27.78% |
| kearnh vs Xiaoyu | 7–10 | 41.18% |
| kearnh vs Lili | 5–12 | 29.41% |
| kearnh vs Fahkumram | 9–8 | 52.94% |
| kearnh vs Yoshimitsu | 6–10 | 37.50% |
| kearnh vs Lars | 2–11 | 15.38% |
| kearnh vs Alisa | 3–9 | 25.00% |
| kearnh vs Lee | 6–6 | 50.00% |
| kearnh vs Devil Jin | 6–4 | 60.00% |
| kearnh vs Claudio | 3–6 | 33.33% |
| kearnh vs Eddy | 4–5 | 44.44% |
| kearnh vs Feng | 1–7 | 12.50% |
| kearnh vs Nina | 4–4 | 50.00% |
| kearnh vs Jun | 4–4 | 50.00% |
| kearnh vs Anna | 2–6 | 25.00% |
| kearnh vs Clive | 2–5 | 28.57% |
| kearnh vs Jack-8 | 0–4 | 0.00% |
| kearnh vs Azucena | 2–2 | 50.00% |
| kearnh vs Zafina | 2–1 | 66.67% |
| kearnh vs Panda | 0–2 | 0.00% |
| kearnh vs Leroy | 0–2 | 0.00% |
| kearnh vs Raven | 2–0 | 100.00% |
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.