| CausingKaos vs Reina | 83–64 | 56.46% |
| CausingKaos vs Kazuya | 55–67 | 45.08% |
| CausingKaos vs Lidia | 44–65 | 40.37% |
| CausingKaos vs Jin | 50–57 | 46.73% |
| CausingKaos vs Lili | 41–60 | 40.59% |
| CausingKaos vs King | 39–54 | 41.94% |
| CausingKaos vs Steve | 42–38 | 52.50% |
| CausingKaos vs Eddy | 37–36 | 50.68% |
| CausingKaos vs Law | 29–39 | 42.65% |
| CausingKaos vs Bryan | 34–33 | 50.75% |
| CausingKaos vs Dragunov | 29–37 | 43.94% |
| CausingKaos vs Lee | 31–35 | 46.97% |
| CausingKaos vs Paul | 26–34 | 43.33% |
| CausingKaos vs Azucena | 29–28 | 50.88% |
| CausingKaos vs Lars | 24–32 | 42.86% |
| CausingKaos vs Jun | 32–24 | 57.14% |
| CausingKaos vs Hwoarang | 21–34 | 38.18% |
| CausingKaos vs Asuka | 24–31 | 43.64% |
| CausingKaos vs Xiaoyu | 26–26 | 50.00% |
| CausingKaos vs Victor | 13–33 | 28.26% |
| CausingKaos vs Yoshimitsu | 29–15 | 65.91% |
| CausingKaos vs Nina | 12–32 | 27.27% |
| CausingKaos vs Feng | 15–23 | 39.47% |
| CausingKaos vs Devil Jin | 13–23 | 36.11% |
| CausingKaos vs Clive | 16–20 | 44.44% |
| CausingKaos vs Jack-8 | 19–15 | 55.88% |
| CausingKaos vs Alisa | 10–19 | 34.48% |
| CausingKaos vs Leo | 10–18 | 35.71% |
| CausingKaos vs Claudio | 12–15 | 44.44% |
| CausingKaos vs Leroy | 9–15 | 37.50% |
| CausingKaos vs Kuma | 10–10 | 50.00% |
| CausingKaos vs Raven | 10–8 | 55.56% |
| CausingKaos vs Zafina | 6–10 | 37.50% |
| CausingKaos vs Armor King | 5–7 | 41.67% |
| CausingKaos vs Shaheen | 1–9 | 10.00% |
| CausingKaos vs Fahkumram | 4–4 | 50.00% |
| CausingKaos vs Heihachi | 2–1 | 66.67% |
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.