| universe vs Kazuya | 62–37 | 62.63% |
| universe vs Reina | 46–49 | 48.42% |
| universe vs Jin | 48–41 | 53.93% |
| universe vs Dragunov | 42–33 | 56.00% |
| universe vs Paul | 39–35 | 52.70% |
| universe vs Armor King | 41–32 | 56.16% |
| universe vs Clive | 35–37 | 48.61% |
| universe vs Asuka | 37–27 | 57.81% |
| universe vs Heihachi | 32–27 | 54.24% |
| universe vs Law | 35–23 | 60.34% |
| universe vs King | 33–23 | 58.93% |
| universe vs Lili | 33–23 | 58.93% |
| universe vs Bryan | 26–27 | 49.06% |
| universe vs Steve | 22–27 | 44.90% |
| universe vs Hwoarang | 22–23 | 48.89% |
| universe vs Jun | 26–18 | 59.09% |
| universe vs Yoshimitsu | 24–19 | 55.81% |
| universe vs Victor | 19–22 | 46.34% |
| universe vs Feng | 22–15 | 59.46% |
| universe vs Devil Jin | 18–14 | 56.25% |
| universe vs Fahkumram | 16–14 | 53.33% |
| universe vs Azucena | 13–15 | 46.43% |
| universe vs Miary Zo | 10–17 | 37.04% |
| universe vs Eddy | 15–11 | 57.69% |
| universe vs Claudio | 16–9 | 64.00% |
| universe vs Leroy | 10–14 | 41.67% |
| universe vs Leo | 10–13 | 43.48% |
| universe vs Lars | 12–10 | 54.55% |
| universe vs Lidia | 10–12 | 45.45% |
| universe vs Anna | 13–9 | 59.09% |
| universe vs Xiaoyu | 7–11 | 38.89% |
| universe vs Jack-8 | 7–11 | 38.89% |
| universe vs Nina | 6–11 | 35.29% |
| universe vs Lee | 12–5 | 70.59% |
| universe vs Alisa | 9–7 | 56.25% |
| universe vs Kuma | 8–7 | 53.33% |
| universe vs Shaheen | 5–8 | 38.46% |
| universe vs Panda | 4–4 | 50.00% |
| universe vs Raven | 5–3 | 62.50% |
| universe vs Zafina | 2–4 | 33.33% |
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.