| Fiction_117 vs Hwoarang | 17–15 | 53.12% |
| Fiction_117 vs King | 11–14 | 44.00% |
| Fiction_117 vs Clive | 15–9 | 62.50% |
| Fiction_117 vs Law | 9–12 | 42.86% |
| Fiction_117 vs Jin | 13–7 | 65.00% |
| Fiction_117 vs Lili | 13–5 | 72.22% |
| Fiction_117 vs Reina | 3–14 | 17.65% |
| Fiction_117 vs Yoshimitsu | 9–4 | 69.23% |
| Fiction_117 vs Dragunov | 5–6 | 45.45% |
| Fiction_117 vs Heihachi | 5–6 | 45.45% |
| Fiction_117 vs Bryan | 2–8 | 20.00% |
| Fiction_117 vs Eddy | 1–9 | 10.00% |
| Fiction_117 vs Nina | 3–6 | 33.33% |
| Fiction_117 vs Paul | 3–5 | 37.50% |
| Fiction_117 vs Lars | 4–4 | 50.00% |
| Fiction_117 vs Azucena | 4–4 | 50.00% |
| Fiction_117 vs Kazuya | 3–4 | 42.86% |
| Fiction_117 vs Steve | 4–3 | 57.14% |
| Fiction_117 vs Claudio | 2–5 | 28.57% |
| Fiction_117 vs Lidia | 4–3 | 57.14% |
| Fiction_117 vs Asuka | 3–3 | 50.00% |
| Fiction_117 vs Jun | 4–2 | 66.67% |
| Fiction_117 vs Zafina | 2–2 | 50.00% |
| Fiction_117 vs Victor | 0–4 | 0.00% |
| Fiction_117 vs Anna | 1–3 | 25.00% |
| Fiction_117 vs Alisa | 2–1 | 66.67% |
| Fiction_117 vs Xiaoyu | 2–0 | 100.00% |
| Fiction_117 vs Leo | 0–1 | 0.00% |
| Fiction_117 vs Shaheen | 0–1 | 0.00% |
| Fiction_117 vs Lee | 0–1 | 0.00% |
| Fiction_117 vs Kuma | 1–0 | 100.00% |
| Fiction_117 vs Leroy | 0–1 | 0.00% |
| Fiction_117 vs Raven | 1–0 | 100.00% |
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.