| Kelvin Wp vs Kazuya | 191–163 | 53.95% |
| Kelvin Wp vs Bryan | 195–143 | 57.69% |
| Kelvin Wp vs Jin | 129–125 | 50.79% |
| Kelvin Wp vs Reina | 115–109 | 51.34% |
| Kelvin Wp vs King | 134–82 | 62.04% |
| Kelvin Wp vs Steve | 94–89 | 51.37% |
| Kelvin Wp vs Heihachi | 92–82 | 52.87% |
| Kelvin Wp vs Hwoarang | 78–91 | 46.15% |
| Kelvin Wp vs Paul | 98–61 | 61.64% |
| Kelvin Wp vs Law | 84–73 | 53.50% |
| Kelvin Wp vs Dragunov | 70–66 | 51.47% |
| Kelvin Wp vs Lili | 77–58 | 57.04% |
| Kelvin Wp vs Devil Jin | 63–65 | 49.22% |
| Kelvin Wp vs Feng | 56–60 | 48.28% |
| Kelvin Wp vs Lee | 40–76 | 34.48% |
| Kelvin Wp vs Asuka | 59–56 | 51.30% |
| Kelvin Wp vs Alisa | 55–45 | 55.00% |
| Kelvin Wp vs Yoshimitsu | 42–57 | 42.42% |
| Kelvin Wp vs Armor King | 41–55 | 42.71% |
| Kelvin Wp vs Nina | 45–42 | 51.72% |
| Kelvin Wp vs Lars | 47–39 | 54.65% |
| Kelvin Wp vs Clive | 42–43 | 49.41% |
| Kelvin Wp vs Xiaoyu | 30–53 | 36.14% |
| Kelvin Wp vs Lidia | 36–41 | 46.75% |
| Kelvin Wp vs Azucena | 35–39 | 47.30% |
| Kelvin Wp vs Leroy | 33–32 | 50.77% |
| Kelvin Wp vs Eddy | 24–41 | 36.92% |
| Kelvin Wp vs Jun | 34–29 | 53.97% |
| Kelvin Wp vs Jack-8 | 31–29 | 51.67% |
| Kelvin Wp vs Claudio | 34–25 | 57.63% |
| Kelvin Wp vs Victor | 25–28 | 47.17% |
| Kelvin Wp vs Raven | 22–30 | 42.31% |
| Kelvin Wp vs Leo | 28–23 | 54.90% |
| Kelvin Wp vs Shaheen | 21–18 | 53.85% |
| Kelvin Wp vs Anna | 15–24 | 38.46% |
| Kelvin Wp vs Zafina | 17–19 | 47.22% |
| Kelvin Wp vs Fahkumram | 23–11 | 67.65% |
| Kelvin Wp vs Kuma | 16–16 | 50.00% |
| Kelvin Wp vs Miary Zo | 12–17 | 41.38% |
| Kelvin Wp vs Panda | 9–12 | 42.86% |
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.