| learning vs Reina | 46–20 | 69.70% |
| learning vs King | 49–14 | 77.78% |
| learning vs Bryan | 47–16 | 74.60% |
| learning vs Steve | 41–8 | 83.67% |
| learning vs Kazuya | 34–12 | 73.91% |
| learning vs Jin | 34–9 | 79.07% |
| learning vs Feng | 32–9 | 78.05% |
| learning vs Yoshimitsu | 29–8 | 78.38% |
| learning vs Dragunov | 29–8 | 78.38% |
| learning vs Devil Jin | 28–8 | 77.78% |
| learning vs Victor | 23–12 | 65.71% |
| learning vs Hwoarang | 29–5 | 85.29% |
| learning vs Law | 18–15 | 54.55% |
| learning vs Xiaoyu | 25–6 | 80.65% |
| learning vs Jun | 25–6 | 80.65% |
| learning vs Asuka | 19–7 | 73.08% |
| learning vs Leo | 10–14 | 41.67% |
| learning vs Leroy | 17–7 | 70.83% |
| learning vs Lili | 18–5 | 78.26% |
| learning vs Paul | 13–8 | 61.90% |
| learning vs Claudio | 14–7 | 66.67% |
| learning vs Lidia | 18–3 | 85.71% |
| learning vs Eddy | 13–7 | 65.00% |
| learning vs Jack-8 | 11–8 | 57.89% |
| learning vs Kuma | 14–4 | 77.78% |
| learning vs Alisa | 9–8 | 52.94% |
| learning vs Nina | 13–4 | 76.47% |
| learning vs Zafina | 13–4 | 76.47% |
| learning vs Shaheen | 10–5 | 66.67% |
| learning vs Lars | 12–2 | 85.71% |
| learning vs Raven | 6–6 | 50.00% |
| learning vs Heihachi | 7–2 | 77.78% |
| learning vs Panda | 6–2 | 75.00% |
| learning vs Azucena | 8–0 | 100.00% |
| learning vs Clive | 5–2 | 71.43% |
| learning vs Lee | 4–1 | 80.00% |
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.