| johnsilenthill vs Jin | 18–22 | 45.00% |
| johnsilenthill vs Steve | 9–20 | 31.03% |
| johnsilenthill vs King | 13–14 | 48.15% |
| johnsilenthill vs Bryan | 9–15 | 37.50% |
| johnsilenthill vs Jun | 15–9 | 62.50% |
| johnsilenthill vs Hwoarang | 12–11 | 52.17% |
| johnsilenthill vs Kazuya | 8–14 | 36.36% |
| johnsilenthill vs Reina | 15–7 | 68.18% |
| johnsilenthill vs Heihachi | 12–10 | 54.55% |
| johnsilenthill vs Dragunov | 8–10 | 44.44% |
| johnsilenthill vs Lidia | 8–6 | 57.14% |
| johnsilenthill vs Lee | 7–6 | 53.85% |
| johnsilenthill vs Clive | 11–2 | 84.62% |
| johnsilenthill vs Asuka | 3–7 | 30.00% |
| johnsilenthill vs Fahkumram | 5–4 | 55.56% |
| johnsilenthill vs Armor King | 7–2 | 77.78% |
| johnsilenthill vs Yoshimitsu | 5–3 | 62.50% |
| johnsilenthill vs Lili | 4–4 | 50.00% |
| johnsilenthill vs Nina | 5–3 | 62.50% |
| johnsilenthill vs Azucena | 7–1 | 87.50% |
| johnsilenthill vs Devil Jin | 4–3 | 57.14% |
| johnsilenthill vs Claudio | 6–1 | 85.71% |
| johnsilenthill vs Leo | 2–4 | 33.33% |
| johnsilenthill vs Alisa | 4–2 | 66.67% |
| johnsilenthill vs Victor | 3–3 | 50.00% |
| johnsilenthill vs Miary Zo | 2–4 | 33.33% |
| johnsilenthill vs Law | 3–2 | 60.00% |
| johnsilenthill vs Feng | 2–3 | 40.00% |
| johnsilenthill vs Lars | 2–3 | 40.00% |
| johnsilenthill vs Eddy | 2–3 | 40.00% |
| johnsilenthill vs Paul | 2–2 | 50.00% |
| johnsilenthill vs Xiaoyu | 1–2 | 33.33% |
| johnsilenthill vs Jack-8 | 3–0 | 100.00% |
| johnsilenthill vs Shaheen | 1–2 | 33.33% |
| johnsilenthill vs Anna | 1–2 | 33.33% |
| johnsilenthill vs Kuma | 2–0 | 100.00% |
| johnsilenthill 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.