| keeshwa vs Reina | 63–46 | 57.80% |
| keeshwa vs Kazuya | 37–58–1 | 38.95% |
| keeshwa vs Jin | 44–48 | 47.83% |
| keeshwa vs King | 43–48 | 47.25% |
| keeshwa vs Paul | 43–28 | 60.56% |
| keeshwa vs Bryan | 25–43 | 36.76% |
| keeshwa vs Steve | 41–25 | 62.12% |
| keeshwa vs Dragunov | 29–32 | 47.54% |
| keeshwa vs Hwoarang | 22–37 | 37.29% |
| keeshwa vs Jun | 24–28 | 46.15% |
| keeshwa vs Lee | 22–29 | 43.14% |
| keeshwa vs Law | 31–19 | 62.00% |
| keeshwa vs Lili | 20–30 | 40.00% |
| keeshwa vs Lars | 26–23 | 53.06% |
| keeshwa vs Devil Jin | 21–27 | 43.75% |
| keeshwa vs Leo | 19–29 | 39.58% |
| keeshwa vs Nina | 17–24 | 41.46% |
| keeshwa vs Yoshimitsu | 17–22 | 43.59% |
| keeshwa vs Azucena | 22–16 | 57.89% |
| keeshwa vs Eddy | 24–14 | 63.16% |
| keeshwa vs Xiaoyu | 23–13 | 63.89% |
| keeshwa vs Heihachi | 16–18 | 47.06% |
| keeshwa vs Feng | 17–15 | 53.12% |
| keeshwa vs Clive | 18–14 | 56.25% |
| keeshwa vs Victor | 16–14 | 53.33% |
| keeshwa vs Alisa | 13–15 | 46.43% |
| keeshwa vs Jack-8 | 13–13 | 50.00% |
| keeshwa vs Raven | 12–13 | 48.00% |
| keeshwa vs Asuka | 7–14 | 33.33% |
| keeshwa vs Lidia | 9–10 | 47.37% |
| keeshwa vs Claudio | 9–8 | 52.94% |
| keeshwa vs Leroy | 7–10 | 41.18% |
| keeshwa vs Kuma | 4–6 | 40.00% |
| keeshwa vs Zafina | 3–6 | 33.33% |
| keeshwa vs Shaheen | 4–3 | 57.14% |
| keeshwa vs Panda | 1–0 | 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.