| temes81 vs Jin | 33–32 | 50.77% |
| temes81 vs Kazuya | 32–22 | 59.26% |
| temes81 vs King | 27–25 | 51.92% |
| temes81 vs Heihachi | 21–13 | 61.76% |
| temes81 vs Reina | 18–15 | 54.55% |
| temes81 vs Jun | 16–16 | 50.00% |
| temes81 vs Hwoarang | 11–15 | 42.31% |
| temes81 vs Law | 9–13 | 40.91% |
| temes81 vs Victor | 12–10 | 54.55% |
| temes81 vs Yoshimitsu | 11–10 | 52.38% |
| temes81 vs Bryan | 10–11 | 47.62% |
| temes81 vs Lili | 7–12 | 36.84% |
| temes81 vs Steve | 8–9 | 47.06% |
| temes81 vs Eddy | 6–11 | 35.29% |
| temes81 vs Asuka | 11–5 | 68.75% |
| temes81 vs Dragunov | 5–11 | 31.25% |
| temes81 vs Paul | 9–6 | 60.00% |
| temes81 vs Azucena | 7–8 | 46.67% |
| temes81 vs Nina | 6–5 | 54.55% |
| temes81 vs Lee | 4–7 | 36.36% |
| temes81 vs Clive | 4–6 | 40.00% |
| temes81 vs Xiaoyu | 4–5 | 44.44% |
| temes81 vs Devil Jin | 4–5 | 44.44% |
| temes81 vs Kuma | 4–5 | 44.44% |
| temes81 vs Jack-8 | 6–2 | 75.00% |
| temes81 vs Feng | 1–7 | 12.50% |
| temes81 vs Zafina | 3–4 | 42.86% |
| temes81 vs Lidia | 1–5 | 16.67% |
| temes81 vs Raven | 2–3 | 40.00% |
| temes81 vs Alisa | 3–1 | 75.00% |
| temes81 vs Shaheen | 2–2 | 50.00% |
| temes81 vs Miary Zo | 3–1 | 75.00% |
| temes81 vs Leo | 2–1 | 66.67% |
| temes81 vs Claudio | 0–2 | 0.00% |
| temes81 vs Panda | 0–2 | 0.00% |
| temes81 vs Leroy | 2–0 | 100.00% |
| temes81 vs Lars | 0–1 | 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.