| KelsynG vs Kazuya | 183–204 | 47.29% |
| KelsynG vs Jin | 141–241 | 36.91% |
| KelsynG vs King | 130–151 | 46.26% |
| KelsynG vs Hwoarang | 114–158 | 41.91% |
| KelsynG vs Bryan | 113–144 | 43.97% |
| KelsynG vs Heihachi | 96–157 | 37.94% |
| KelsynG vs Reina | 91–152 | 37.45% |
| KelsynG vs Law | 82–157 | 34.31% |
| KelsynG vs Steve | 95–120 | 44.19% |
| KelsynG vs Paul | 88–79 | 52.69% |
| KelsynG vs Lili | 56–110 | 33.73% |
| KelsynG vs Dragunov | 69–94 | 42.33% |
| KelsynG vs Victor | 62–82 | 43.06% |
| KelsynG vs Yoshimitsu | 52–83 | 38.52% |
| KelsynG vs Clive | 39–95 | 29.10% |
| KelsynG vs Jun | 44–89 | 33.08% |
| KelsynG vs Azucena | 50–62 | 44.64% |
| KelsynG vs Eddy | 40–69 | 36.70% |
| KelsynG vs Asuka | 44–57 | 43.56% |
| KelsynG vs Devil Jin | 40–56 | 41.67% |
| KelsynG vs Xiaoyu | 37–47 | 44.05% |
| KelsynG vs Nina | 40–44 | 47.62% |
| KelsynG vs Lars | 16–64 | 20.00% |
| KelsynG vs Alisa | 34–46 | 42.50% |
| KelsynG vs Lee | 41–39 | 51.25% |
| KelsynG vs Armor King | 34–46 | 42.50% |
| KelsynG vs Lidia | 28–46 | 37.84% |
| KelsynG vs Feng | 24–40 | 37.50% |
| KelsynG vs Anna | 26–38 | 40.62% |
| KelsynG vs Fahkumram | 20–39 | 33.90% |
| KelsynG vs Raven | 26–27 | 49.06% |
| KelsynG vs Claudio | 21–26 | 44.68% |
| KelsynG vs Leroy | 13–30 | 30.23% |
| KelsynG vs Zafina | 11–31 | 26.19% |
| KelsynG vs Leo | 15–25 | 37.50% |
| KelsynG vs Jack-8 | 15–19 | 44.12% |
| KelsynG vs Shaheen | 17–14 | 54.84% |
| KelsynG vs Kuma | 10–17 | 37.04% |
| KelsynG vs Miary Zo | 8–8 | 50.00% |
| KelsynG vs Panda | 2–9 | 18.18% |
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.