| Ph.D_CHO vs Kazuya | 28–21 | 57.14% |
| Ph.D_CHO vs Paul | 23–22 | 51.11% |
| Ph.D_CHO vs Hwoarang | 25–18 | 58.14% |
| Ph.D_CHO vs King | 21–19 | 52.50% |
| Ph.D_CHO vs Dragunov | 17–21 | 44.74% |
| Ph.D_CHO vs Jin | 16–17 | 48.48% |
| Ph.D_CHO vs Azucena | 21–12 | 63.64% |
| Ph.D_CHO vs Law | 14–14 | 50.00% |
| Ph.D_CHO vs Steve | 14–14 | 50.00% |
| Ph.D_CHO vs Lili | 11–17 | 39.29% |
| Ph.D_CHO vs Bryan | 17–10 | 62.96% |
| Ph.D_CHO vs Reina | 18–8 | 69.23% |
| Ph.D_CHO vs Yoshimitsu | 13–10 | 56.52% |
| Ph.D_CHO vs Jun | 8–13 | 38.10% |
| Ph.D_CHO vs Asuka | 12–8 | 60.00% |
| Ph.D_CHO vs Heihachi | 9–10 | 47.37% |
| Ph.D_CHO vs Victor | 9–9 | 50.00% |
| Ph.D_CHO vs Claudio | 7–8 | 46.67% |
| Ph.D_CHO vs Lee | 11–4 | 73.33% |
| Ph.D_CHO vs Raven | 10–5 | 66.67% |
| Ph.D_CHO vs Devil Jin | 10–4 | 71.43% |
| Ph.D_CHO vs Alisa | 6–8 | 42.86% |
| Ph.D_CHO vs Nina | 7–7 | 50.00% |
| Ph.D_CHO vs Leroy | 8–6 | 57.14% |
| Ph.D_CHO vs Lars | 8–4 | 66.67% |
| Ph.D_CHO vs Clive | 6–5 | 54.55% |
| Ph.D_CHO vs Xiaoyu | 6–4 | 60.00% |
| Ph.D_CHO vs Zafina | 5–4 | 55.56% |
| Ph.D_CHO vs Jack-8 | 5–3 | 62.50% |
| Ph.D_CHO vs Feng | 3–5 | 37.50% |
| Ph.D_CHO vs Leo | 2–4 | 33.33% |
| Ph.D_CHO vs Kuma | 2–3 | 40.00% |
| Ph.D_CHO vs Eddy | 3–2 | 60.00% |
| Ph.D_CHO vs Lidia | 0–4 | 0.00% |
| Ph.D_CHO vs Panda | 0–3 | 0.00% |
| Ph.D_CHO vs Shaheen | 2–0 | 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.