| Katthyt vs Kazuya | 130–193 | 40.25% |
| Katthyt vs King | 138–146 | 48.59% |
| Katthyt vs Law | 99–137 | 41.95% |
| Katthyt vs Steve | 115–121 | 48.73% |
| Katthyt vs Hwoarang | 96–134 | 41.74% |
| Katthyt vs Jin | 93–134 | 40.97% |
| Katthyt vs Armor King | 105–117 | 47.30% |
| Katthyt vs Bryan | 94–102 | 47.96% |
| Katthyt vs Heihachi | 80–101 | 44.20% |
| Katthyt vs Reina | 72–103 | 41.14% |
| Katthyt vs Dragunov | 61–91 | 40.13% |
| Katthyt vs Yoshimitsu | 70–72 | 49.30% |
| Katthyt vs Azucena | 70–72 | 49.30% |
| Katthyt vs Jun | 70–68 | 50.72% |
| Katthyt vs Eddy | 73–60 | 54.89% |
| Katthyt vs Paul | 66–61 | 51.97% |
| Katthyt vs Lars | 53–68 | 43.80% |
| Katthyt vs Lili | 53–67 | 44.17% |
| Katthyt vs Xiaoyu | 51–50 | 50.50% |
| Katthyt vs Asuka | 43–58 | 42.57% |
| Katthyt vs Nina | 44–56 | 44.00% |
| Katthyt vs Lee | 43–57 | 43.00% |
| Katthyt vs Fahkumram | 34–62 | 35.42% |
| Katthyt vs Miary Zo | 51–43 | 54.26% |
| Katthyt vs Clive | 37–53 | 41.11% |
| Katthyt vs Feng | 40–49 | 44.94% |
| Katthyt vs Victor | 46–41 | 52.87% |
| Katthyt vs Lidia | 36–48 | 42.86% |
| Katthyt vs Raven | 38–44 | 46.34% |
| Katthyt vs Anna | 46–32 | 58.97% |
| Katthyt vs Leo | 36–36 | 50.00% |
| Katthyt vs Devil Jin | 24–46 | 34.29% |
| Katthyt vs Jack-8 | 39–29 | 57.35% |
| Katthyt vs Alisa | 30–36 | 45.45% |
| Katthyt vs Leroy | 28–38 | 42.42% |
| Katthyt vs Kuma | 26–20 | 56.52% |
| Katthyt vs Zafina | 20–23 | 46.51% |
| Katthyt vs Claudio | 21–13 | 61.76% |
| Katthyt vs Shaheen | 9–23 | 28.12% |
| Katthyt vs Panda | 10–6 | 62.50% |
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.