| JohnWaran vs Jin | 45–77 | 36.89% |
| JohnWaran vs Kazuya | 63–53 | 54.31% |
| JohnWaran vs Law | 42–35 | 54.55% |
| JohnWaran vs King | 30–39 | 43.48% |
| JohnWaran vs Reina | 45–23 | 66.18% |
| JohnWaran vs Hwoarang | 33–31 | 51.56% |
| JohnWaran vs Bryan | 36–27 | 57.14% |
| JohnWaran vs Dragunov | 30–27 | 52.63% |
| JohnWaran vs Lili | 30–26 | 53.57% |
| JohnWaran vs Jun | 29–25 | 53.70% |
| JohnWaran vs Clive | 28–23 | 54.90% |
| JohnWaran vs Eddy | 23–25 | 47.92% |
| JohnWaran vs Steve | 24–23 | 51.06% |
| JohnWaran vs Lidia | 21–24 | 46.67% |
| JohnWaran vs Azucena | 26–18 | 59.09% |
| JohnWaran vs Heihachi | 20–20 | 50.00% |
| JohnWaran vs Paul | 24–14 | 63.16% |
| JohnWaran vs Xiaoyu | 16–20 | 44.44% |
| JohnWaran vs Victor | 22–14 | 61.11% |
| JohnWaran vs Lee | 20–15 | 57.14% |
| JohnWaran vs Yoshimitsu | 18–16 | 52.94% |
| JohnWaran vs Devil Jin | 16–16 | 50.00% |
| JohnWaran vs Asuka | 12–13 | 48.00% |
| JohnWaran vs Nina | 12–11 | 52.17% |
| JohnWaran vs Raven | 12–9 | 57.14% |
| JohnWaran vs Claudio | 10–10 | 50.00% |
| JohnWaran vs Fahkumram | 10–7 | 58.82% |
| JohnWaran vs Feng | 11–5 | 68.75% |
| JohnWaran vs Leo | 7–9 | 43.75% |
| JohnWaran vs Lars | 8–8 | 50.00% |
| JohnWaran vs Alisa | 13–3 | 81.25% |
| JohnWaran vs Leroy | 8–7 | 53.33% |
| JohnWaran vs Jack-8 | 3–6 | 33.33% |
| JohnWaran vs Shaheen | 5–0 | 100.00% |
| JohnWaran vs Zafina | 0–5 | 0.00% |
| JohnWaran vs Anna | 1–4 | 20.00% |
| JohnWaran vs Kuma | 3–1 | 75.00% |
| JohnWaran vs Panda | 2–1 | 66.67% |
| JohnWaran vs Armor King | 0–2 | 0.00% |
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.