| TekkenLipe vs Jin | 43–47 | 47.78% |
| TekkenLipe vs King | 47–28 | 62.67% |
| TekkenLipe vs Kazuya | 39–30 | 56.52% |
| TekkenLipe vs Steve | 32–35 | 47.76% |
| TekkenLipe vs Hwoarang | 20–33 | 37.74% |
| TekkenLipe vs Reina | 31–18–1 | 63.27% |
| TekkenLipe vs Bryan | 18–31 | 36.73% |
| TekkenLipe vs Paul | 27–21 | 56.25% |
| TekkenLipe vs Law | 20–24 | 45.45% |
| TekkenLipe vs Lee | 19–24 | 44.19% |
| TekkenLipe vs Yoshimitsu | 21–21 | 50.00% |
| TekkenLipe vs Lili | 23–15 | 60.53% |
| TekkenLipe vs Devil Jin | 13–23 | 36.11% |
| TekkenLipe vs Azucena | 16–18 | 47.06% |
| TekkenLipe vs Dragunov | 15–14 | 51.72% |
| TekkenLipe vs Lars | 14–13 | 51.85% |
| TekkenLipe vs Jun | 14–11 | 56.00% |
| TekkenLipe vs Nina | 9–14 | 39.13% |
| TekkenLipe vs Leroy | 11–12 | 47.83% |
| TekkenLipe vs Victor | 14–9 | 60.87% |
| TekkenLipe vs Heihachi | 12–11 | 52.17% |
| TekkenLipe vs Xiaoyu | 15–5 | 75.00% |
| TekkenLipe vs Jack-8 | 11–9 | 55.00% |
| TekkenLipe vs Eddy | 13–7 | 65.00% |
| TekkenLipe vs Raven | 8–11 | 42.11% |
| TekkenLipe vs Leo | 9–9 | 50.00% |
| TekkenLipe vs Asuka | 9–7 | 56.25% |
| TekkenLipe vs Alisa | 9–6 | 60.00% |
| TekkenLipe vs Kuma | 10–5 | 66.67% |
| TekkenLipe vs Lidia | 6–7 | 46.15% |
| TekkenLipe vs Clive | 8–5 | 61.54% |
| TekkenLipe vs Armor King | 4–9 | 30.77% |
| TekkenLipe vs Feng | 4–8 | 33.33% |
| TekkenLipe vs Miary Zo | 9–0 | 100.00% |
| TekkenLipe vs Claudio | 5–3 | 62.50% |
| TekkenLipe vs Panda | 6–2 | 75.00% |
| TekkenLipe vs Anna | 4–4 | 50.00% |
| TekkenLipe vs Zafina | 2–4 | 33.33% |
| TekkenLipe vs Fahkumram | 4–2 | 66.67% |
| TekkenLipe vs Shaheen | 1–2 | 33.33% |
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.