| Savicrazy vs Jin | 51–82 | 38.35% |
| Savicrazy vs King | 48–58 | 45.28% |
| Savicrazy vs Eddy | 42–51 | 45.16% |
| Savicrazy vs Kazuya | 26–47 | 35.62% |
| Savicrazy vs Reina | 42–31 | 57.53% |
| Savicrazy vs Azucena | 27–39 | 40.91% |
| Savicrazy vs Lili | 24–38 | 38.71% |
| Savicrazy vs Law | 21–38 | 35.59% |
| Savicrazy vs Steve | 15–40 | 27.27% |
| Savicrazy vs Leroy | 14–37 | 27.45% |
| Savicrazy vs Bryan | 21–27 | 43.75% |
| Savicrazy vs Asuka | 21–23–1 | 47.73% |
| Savicrazy vs Jun | 13–30 | 30.23% |
| Savicrazy vs Hwoarang | 15–24 | 38.46% |
| Savicrazy vs Devil Jin | 14–22 | 38.89% |
| Savicrazy vs Alisa | 9–27 | 25.00% |
| Savicrazy vs Nina | 13–22 | 37.14% |
| Savicrazy vs Lars | 20–9 | 68.97% |
| Savicrazy vs Heihachi | 13–16 | 44.83% |
| Savicrazy vs Dragunov | 14–14 | 50.00% |
| Savicrazy vs Jack-8 | 12–14 | 46.15% |
| Savicrazy vs Yoshimitsu | 12–12 | 50.00% |
| Savicrazy vs Xiaoyu | 7–17 | 29.17% |
| Savicrazy vs Lee | 9–12 | 42.86% |
| Savicrazy vs Victor | 5–16 | 23.81% |
| Savicrazy vs Paul | 3–17 | 15.00% |
| Savicrazy vs Lidia | 11–8 | 57.89% |
| Savicrazy vs Claudio | 10–8 | 55.56% |
| Savicrazy vs Fahkumram | 9–5 | 64.29% |
| Savicrazy vs Armor King | 7–7 | 50.00% |
| Savicrazy vs Feng | 7–4 | 63.64% |
| Savicrazy vs Kuma | 3–8 | 27.27% |
| Savicrazy vs Zafina | 7–3 | 70.00% |
| Savicrazy vs Clive | 5–5 | 50.00% |
| Savicrazy vs Leo | 4–5 | 44.44% |
| Savicrazy vs Anna | 2–6 | 25.00% |
| Savicrazy vs Miary Zo | 4–4 | 50.00% |
| Savicrazy vs Raven | 2–5 | 28.57% |
| Savicrazy vs Shaheen | 1–2 | 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.