| 0ldStyl0 vs Kazuya | 49–47 | 51.04% |
| 0ldStyl0 vs Steve | 43–53 | 44.79% |
| 0ldStyl0 vs Jin | 39–51 | 43.33% |
| 0ldStyl0 vs King | 39–39 | 50.00% |
| 0ldStyl0 vs Fahkumram | 30–30 | 50.00% |
| 0ldStyl0 vs Miary Zo | 29–29 | 50.00% |
| 0ldStyl0 vs Reina | 22–33 | 40.00% |
| 0ldStyl0 vs Bryan | 17–32 | 34.69% |
| 0ldStyl0 vs Dragunov | 23–25 | 47.92% |
| 0ldStyl0 vs Asuka | 24–23 | 51.06% |
| 0ldStyl0 vs Armor King | 26–21 | 55.32% |
| 0ldStyl0 vs Law | 26–20 | 56.52% |
| 0ldStyl0 vs Hwoarang | 21–25 | 45.65% |
| 0ldStyl0 vs Heihachi | 14–32 | 30.43% |
| 0ldStyl0 vs Lars | 17–22 | 43.59% |
| 0ldStyl0 vs Eddy | 18–20 | 47.37% |
| 0ldStyl0 vs Lili | 20–16 | 55.56% |
| 0ldStyl0 vs Azucena | 10–25 | 28.57% |
| 0ldStyl0 vs Xiaoyu | 12–22 | 35.29% |
| 0ldStyl0 vs Paul | 10–16 | 38.46% |
| 0ldStyl0 vs Yoshimitsu | 12–14 | 46.15% |
| 0ldStyl0 vs Nina | 9–17 | 34.62% |
| 0ldStyl0 vs Lee | 8–18 | 30.77% |
| 0ldStyl0 vs Raven | 8–16 | 33.33% |
| 0ldStyl0 vs Feng | 13–10 | 56.52% |
| 0ldStyl0 vs Jun | 8–15 | 34.78% |
| 0ldStyl0 vs Leo | 6–15 | 28.57% |
| 0ldStyl0 vs Clive | 7–13 | 35.00% |
| 0ldStyl0 vs Victor | 8–9 | 47.06% |
| 0ldStyl0 vs Devil Jin | 6–10 | 37.50% |
| 0ldStyl0 vs Lidia | 6–9 | 40.00% |
| 0ldStyl0 vs Jack-8 | 5–7 | 41.67% |
| 0ldStyl0 vs Alisa | 7–4 | 63.64% |
| 0ldStyl0 vs Shaheen | 5–5 | 50.00% |
| 0ldStyl0 vs Kuma | 5–5 | 50.00% |
| 0ldStyl0 vs Zafina | 2–8 | 20.00% |
| 0ldStyl0 vs Claudio | 5–4 | 55.56% |
| 0ldStyl0 vs Leroy | 1–8 | 11.11% |
| 0ldStyl0 vs Anna | 3–5 | 37.50% |
| 0ldStyl0 vs Panda | 0–2 | 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.