| XHS99 vs Kazuya | 41–26 | 61.19% |
| XHS99 vs King | 39–24 | 61.90% |
| XHS99 vs Jin | 29–30 | 49.15% |
| XHS99 vs Law | 34–11 | 75.56% |
| XHS99 vs Steve | 28–12 | 70.00% |
| XHS99 vs Dragunov | 27–8 | 77.14% |
| XHS99 vs Bryan | 21–12 | 63.64% |
| XHS99 vs Heihachi | 13–12 | 52.00% |
| XHS99 vs Lili | 15–9 | 62.50% |
| XHS99 vs Devil Jin | 13–10 | 56.52% |
| XHS99 vs Eddy | 14–8 | 63.64% |
| XHS99 vs Armor King | 10–11 | 47.62% |
| XHS99 vs Asuka | 8–8 | 50.00% |
| XHS99 vs Paul | 9–5 | 64.29% |
| XHS99 vs Alisa | 7–7 | 50.00% |
| XHS99 vs Lee | 8–6 | 57.14% |
| XHS99 vs Reina | 10–4 | 71.43% |
| XHS99 vs Azucena | 9–4 | 69.23% |
| XHS99 vs Hwoarang | 10–1 | 90.91% |
| XHS99 vs Xiaoyu | 5–4 | 55.56% |
| XHS99 vs Nina | 7–2 | 77.78% |
| XHS99 vs Victor | 4–5 | 44.44% |
| XHS99 vs Yoshimitsu | 5–3 | 62.50% |
| XHS99 vs Jun | 3–5 | 37.50% |
| XHS99 vs Raven | 2–6 | 25.00% |
| XHS99 vs Feng | 4–3 | 57.14% |
| XHS99 vs Lars | 1–6 | 14.29% |
| XHS99 vs Claudio | 3–3 | 50.00% |
| XHS99 vs Fahkumram | 2–4 | 33.33% |
| XHS99 vs Kuma | 1–4 | 20.00% |
| XHS99 vs Anna | 0–5 | 0.00% |
| XHS99 vs Jack-8 | 4–0 | 100.00% |
| XHS99 vs Lidia | 4–0 | 100.00% |
| XHS99 vs Miary Zo | 3–1 | 75.00% |
| XHS99 vs Leroy | 2–1 | 66.67% |
| XHS99 vs Clive | 3–0 | 100.00% |
| XHS99 vs Shaheen | 0–2 | 0.00% |
| XHS99 vs Panda | 0–2 | 0.00% |
| XHS99 vs Zafina | 0–1 | 0.00% |
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.