| Phd goops vs Jin | 20–19 | 51.28% |
| Phd goops vs King | 17–18 | 48.57% |
| Phd goops vs Dragunov | 19–14 | 57.58% |
| Phd goops vs Bryan | 11–21 | 34.38% |
| Phd goops vs Steve | 17–13 | 56.67% |
| Phd goops vs Reina | 13–13 | 50.00% |
| Phd goops vs Heihachi | 14–11 | 56.00% |
| Phd goops vs Hwoarang | 8–16 | 33.33% |
| Phd goops vs Lidia | 15–6 | 71.43% |
| Phd goops vs Clive | 5–16 | 23.81% |
| Phd goops vs Jun | 6–14 | 30.00% |
| Phd goops vs Law | 4–15 | 21.05% |
| Phd goops vs Leo | 9–10 | 47.37% |
| Phd goops vs Nina | 10–8 | 55.56% |
| Phd goops vs Paul | 8–8 | 50.00% |
| Phd goops vs Yoshimitsu | 9–5 | 64.29% |
| Phd goops vs Lili | 7–6 | 53.85% |
| Phd goops vs Lee | 7–6 | 53.85% |
| Phd goops vs Azucena | 9–4 | 69.23% |
| Phd goops vs Eddy | 6–7 | 46.15% |
| Phd goops vs Kazuya | 2–10 | 16.67% |
| Phd goops vs Fahkumram | 3–9 | 25.00% |
| Phd goops vs Armor King | 5–7 | 41.67% |
| Phd goops vs Xiaoyu | 6–5 | 54.55% |
| Phd goops vs Lars | 6–5 | 54.55% |
| Phd goops vs Alisa | 4–7 | 36.36% |
| Phd goops vs Leroy | 8–3 | 72.73% |
| Phd goops vs Anna | 7–4 | 63.64% |
| Phd goops vs Asuka | 9–1 | 90.00% |
| Phd goops vs Claudio | 3–6 | 33.33% |
| Phd goops vs Zafina | 5–4 | 55.56% |
| Phd goops vs Feng | 6–2 | 75.00% |
| Phd goops vs Victor | 7–1 | 87.50% |
| Phd goops vs Jack-8 | 5–1 | 83.33% |
| Phd goops vs Devil Jin | 0–6 | 0.00% |
| Phd goops vs Miary Zo | 2–4 | 33.33% |
| Phd goops vs Kuma | 1–4 | 20.00% |
| Phd goops vs Raven | 2–2 | 50.00% |
| Phd goops 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.