| TekkenSimp vs Kazuya | 78–76 | 50.65% |
| TekkenSimp vs Jin | 72–34 | 67.92% |
| TekkenSimp vs Hwoarang | 49–50 | 49.49% |
| TekkenSimp vs King | 47–46 | 50.54% |
| TekkenSimp vs Reina | 42–47 | 47.19% |
| TekkenSimp vs Heihachi | 42–40 | 51.22% |
| TekkenSimp vs Law | 51–28 | 64.56% |
| TekkenSimp vs Bryan | 47–23 | 67.14% |
| TekkenSimp vs Steve | 42–27 | 60.87% |
| TekkenSimp vs Lidia | 38–31 | 55.07% |
| TekkenSimp vs Paul | 33–17 | 66.00% |
| TekkenSimp vs Yoshimitsu | 28–21 | 57.14% |
| TekkenSimp vs Devil Jin | 25–20 | 55.56% |
| TekkenSimp vs Anna | 15–28 | 34.88% |
| TekkenSimp vs Dragunov | 27–15 | 64.29% |
| TekkenSimp vs Lili | 20–17 | 54.05% |
| TekkenSimp vs Alisa | 17–20 | 45.95% |
| TekkenSimp vs Eddy | 13–24 | 35.14% |
| TekkenSimp vs Jun | 19–16 | 54.29% |
| TekkenSimp vs Lee | 13–21 | 38.24% |
| TekkenSimp vs Lars | 11–19 | 36.67% |
| TekkenSimp vs Asuka | 20–9 | 68.97% |
| TekkenSimp vs Azucena | 11–18 | 37.93% |
| TekkenSimp vs Feng | 11–17 | 39.29% |
| TekkenSimp vs Xiaoyu | 15–8 | 65.22% |
| TekkenSimp vs Kuma | 13–10 | 56.52% |
| TekkenSimp vs Jack-8 | 13–9 | 59.09% |
| TekkenSimp vs Victor | 10–12 | 45.45% |
| TekkenSimp vs Claudio | 13–8 | 61.90% |
| TekkenSimp vs Clive | 7–11 | 38.89% |
| TekkenSimp vs Nina | 13–4 | 76.47% |
| TekkenSimp vs Zafina | 6–9 | 40.00% |
| TekkenSimp vs Raven | 9–6 | 60.00% |
| TekkenSimp vs Fahkumram | 8–7 | 53.33% |
| TekkenSimp vs Leroy | 8–5 | 61.54% |
| TekkenSimp vs Shaheen | 7–4 | 63.64% |
| TekkenSimp vs Leo | 3–5 | 37.50% |
| TekkenSimp vs Panda | 5–2 | 71.43% |
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.