| Tempz vs King | 39–15 | 72.22% |
| Tempz vs Kazuya | 28–18 | 60.87% |
| Tempz vs Bryan | 7–23 | 23.33% |
| Tempz vs Steve | 16–12 | 57.14% |
| Tempz vs Hwoarang | 10–16 | 38.46% |
| Tempz vs Reina | 12–14 | 46.15% |
| Tempz vs Heihachi | 9–17 | 34.62% |
| Tempz vs Yoshimitsu | 10–13 | 43.48% |
| Tempz vs Jin | 11–12 | 47.83% |
| Tempz vs Law | 13–8 | 61.90% |
| Tempz vs Lili | 11–9 | 55.00% |
| Tempz vs Dragunov | 8–12 | 40.00% |
| Tempz vs Eddy | 7–13 | 35.00% |
| Tempz vs Lars | 5–13 | 27.78% |
| Tempz vs Asuka | 10–7 | 58.82% |
| Tempz vs Devil Jin | 11–3 | 78.57% |
| Tempz vs Jun | 5–9 | 35.71% |
| Tempz vs Victor | 3–11 | 21.43% |
| Tempz vs Paul | 4–9 | 30.77% |
| Tempz vs Nina | 5–8 | 38.46% |
| Tempz vs Lee | 4–8 | 33.33% |
| Tempz vs Shaheen | 6–4 | 60.00% |
| Tempz vs Kuma | 6–4 | 60.00% |
| Tempz vs Azucena | 5–5 | 50.00% |
| Tempz vs Clive | 3–7 | 30.00% |
| Tempz vs Alisa | 6–3 | 66.67% |
| Tempz vs Lidia | 4–5 | 44.44% |
| Tempz vs Jack-8 | 1–6 | 14.29% |
| Tempz vs Feng | 0–6 | 0.00% |
| Tempz vs Raven | 2–4 | 33.33% |
| Tempz vs Leo | 4–0 | 100.00% |
| Tempz vs Fahkumram | 2–2 | 50.00% |
| Tempz vs Xiaoyu | 3–0 | 100.00% |
| Tempz vs Panda | 2–1 | 66.67% |
| Tempz vs Leroy | 1–2 | 33.33% |
| Tempz vs Claudio | 2–0 | 100.00% |
| Tempz vs Armor King | 2–0 | 100.00% |
| Tempz vs Zafina | 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.