| Ph4nt0m vs Kazuya | 27–33 | 45.00% |
| Ph4nt0m vs Jin | 31–22 | 58.49% |
| Ph4nt0m vs King | 27–17 | 61.36% |
| Ph4nt0m vs Hwoarang | 27–17 | 61.36% |
| Ph4nt0m vs Law | 20–14 | 58.82% |
| Ph4nt0m vs Paul | 20–10 | 66.67% |
| Ph4nt0m vs Steve | 15–15 | 50.00% |
| Ph4nt0m vs Lili | 20–10 | 66.67% |
| Ph4nt0m vs Yoshimitsu | 19–9 | 67.86% |
| Ph4nt0m vs Reina | 14–10 | 58.33% |
| Ph4nt0m vs Bryan | 16–7 | 69.57% |
| Ph4nt0m vs Heihachi | 12–11 | 52.17% |
| Ph4nt0m vs Clive | 16–5 | 76.19% |
| Ph4nt0m vs Dragunov | 10–9 | 52.63% |
| Ph4nt0m vs Eddy | 12–7 | 63.16% |
| Ph4nt0m vs Nina | 13–5 | 72.22% |
| Ph4nt0m vs Xiaoyu | 5–12 | 29.41% |
| Ph4nt0m vs Asuka | 11–6 | 64.71% |
| Ph4nt0m vs Lee | 7–10 | 41.18% |
| Ph4nt0m vs Azucena | 12–5 | 70.59% |
| Ph4nt0m vs Jun | 7–9 | 43.75% |
| Ph4nt0m vs Alisa | 14–1 | 93.33% |
| Ph4nt0m vs Victor | 9–6 | 60.00% |
| Ph4nt0m vs Lars | 8–6 | 57.14% |
| Ph4nt0m vs Lidia | 11–2 | 84.62% |
| Ph4nt0m vs Raven | 7–4 | 63.64% |
| Ph4nt0m vs Feng | 4–5 | 44.44% |
| Ph4nt0m vs Armor King | 4–4 | 50.00% |
| Ph4nt0m vs Leroy | 7–0 | 100.00% |
| Ph4nt0m vs Kuma | 3–3 | 50.00% |
| Ph4nt0m vs Devil Jin | 4–1 | 80.00% |
| Ph4nt0m vs Anna | 5–0 | 100.00% |
| Ph4nt0m vs Jack-8 | 1–3 | 25.00% |
| Ph4nt0m vs Shaheen | 1–3 | 25.00% |
| Ph4nt0m vs Fahkumram | 2–2 | 50.00% |
| Ph4nt0m vs Claudio | 1–2 | 33.33% |
| Ph4nt0m vs Miary Zo | 1–2 | 33.33% |
| Ph4nt0m vs Leo | 0–2 | 0.00% |
| Ph4nt0m vs Panda | 2–0 | 100.00% |
| Ph4nt0m vs Zafina | 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.