| The Ph3nom vs King | 51–42 | 54.84% |
| The Ph3nom vs Steve | 48–36 | 57.14% |
| The Ph3nom vs Law | 48–29 | 62.34% |
| The Ph3nom vs Bryan | 38–33 | 53.52% |
| The Ph3nom vs Kazuya | 42–29 | 59.15% |
| The Ph3nom vs Hwoarang | 34–26 | 56.67% |
| The Ph3nom vs Reina | 29–27 | 51.79% |
| The Ph3nom vs Paul | 24–30 | 44.44% |
| The Ph3nom vs Jin | 36–17 | 67.92% |
| The Ph3nom vs Dragunov | 28–18 | 60.87% |
| The Ph3nom vs Lars | 26–20 | 56.52% |
| The Ph3nom vs Heihachi | 22–19 | 53.66% |
| The Ph3nom vs Lili | 20–20 | 50.00% |
| The Ph3nom vs Lee | 18–21 | 46.15% |
| The Ph3nom vs Yoshimitsu | 14–23 | 37.84% |
| The Ph3nom vs Feng | 16–21 | 43.24% |
| The Ph3nom vs Azucena | 18–17 | 51.43% |
| The Ph3nom vs Asuka | 15–18 | 45.45% |
| The Ph3nom vs Victor | 9–18 | 33.33% |
| The Ph3nom vs Nina | 11–12 | 47.83% |
| The Ph3nom vs Jun | 7–15 | 31.82% |
| The Ph3nom vs Eddy | 10–12 | 45.45% |
| The Ph3nom vs Leo | 9–12 | 42.86% |
| The Ph3nom vs Raven | 14–7 | 66.67% |
| The Ph3nom vs Devil Jin | 6–14 | 30.00% |
| The Ph3nom vs Kuma | 11–9 | 55.00% |
| The Ph3nom vs Xiaoyu | 7–11 | 38.89% |
| The Ph3nom vs Shaheen | 5–12 | 29.41% |
| The Ph3nom vs Leroy | 11–6 | 64.71% |
| The Ph3nom vs Fahkumram | 7–9 | 43.75% |
| The Ph3nom vs Armor King | 12–4 | 75.00% |
| The Ph3nom vs Jack-8 | 8–7 | 53.33% |
| The Ph3nom vs Anna | 7–7 | 50.00% |
| The Ph3nom vs Clive | 5–7 | 41.67% |
| The Ph3nom vs Alisa | 5–5 | 50.00% |
| The Ph3nom vs Claudio | 5–5 | 50.00% |
| The Ph3nom vs Zafina | 8–1 | 88.89% |
| The Ph3nom vs Lidia | 2–7 | 22.22% |
| The Ph3nom vs Panda | 1–4 | 20.00% |
| The Ph3nom vs Miary Zo | 3–1 | 75.00% |
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.