| E4ZYPLAYS TTV vs Bryan | 35–25 | 58.33% |
| E4ZYPLAYS TTV vs King | 27–30 | 47.37% |
| E4ZYPLAYS TTV vs Jin | 26–31 | 45.61% |
| E4ZYPLAYS TTV vs Reina | 32–14 | 69.57% |
| E4ZYPLAYS TTV vs Kazuya | 20–25 | 44.44% |
| E4ZYPLAYS TTV vs Steve | 22–23 | 48.89% |
| E4ZYPLAYS TTV vs Dragunov | 19–23 | 45.24% |
| E4ZYPLAYS TTV vs Jun | 22–14 | 61.11% |
| E4ZYPLAYS TTV vs Yoshimitsu | 20–15 | 57.14% |
| E4ZYPLAYS TTV vs Hwoarang | 18–17 | 51.43% |
| E4ZYPLAYS TTV vs Law | 17–14 | 54.84% |
| E4ZYPLAYS TTV vs Asuka | 16–12 | 57.14% |
| E4ZYPLAYS TTV vs Lili | 14–13 | 51.85% |
| E4ZYPLAYS TTV vs Nina | 12–14 | 46.15% |
| E4ZYPLAYS TTV vs Azucena | 15–9 | 62.50% |
| E4ZYPLAYS TTV vs Paul | 11–11 | 50.00% |
| E4ZYPLAYS TTV vs Lee | 11–10 | 52.38% |
| E4ZYPLAYS TTV vs Feng | 9–11 | 45.00% |
| E4ZYPLAYS TTV vs Victor | 9–11 | 45.00% |
| E4ZYPLAYS TTV vs Lars | 10–9 | 52.63% |
| E4ZYPLAYS TTV vs Devil Jin | 7–10 | 41.18% |
| E4ZYPLAYS TTV vs Leo | 6–8 | 42.86% |
| E4ZYPLAYS TTV vs Eddy | 7–7 | 50.00% |
| E4ZYPLAYS TTV vs Claudio | 9–4 | 69.23% |
| E4ZYPLAYS TTV vs Kuma | 5–8 | 38.46% |
| E4ZYPLAYS TTV vs Xiaoyu | 8–3 | 72.73% |
| E4ZYPLAYS TTV vs Leroy | 7–3 | 70.00% |
| E4ZYPLAYS TTV vs Jack-8 | 3–6 | 33.33% |
| E4ZYPLAYS TTV vs Alisa | 6–2 | 75.00% |
| E4ZYPLAYS TTV vs Heihachi | 4–4 | 50.00% |
| E4ZYPLAYS TTV vs Shaheen | 5–2 | 71.43% |
| E4ZYPLAYS TTV vs Raven | 0–6 | 0.00% |
| E4ZYPLAYS TTV vs Clive | 4–2 | 66.67% |
| E4ZYPLAYS TTV vs Lidia | 2–2 | 50.00% |
| E4ZYPLAYS TTV vs Zafina | 1–1 | 50.00% |
| E4ZYPLAYS TTV vs Fahkumram | 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.