| Teplame vs Kazuya | 59–36 | 62.11% |
| Teplame vs Heihachi | 43–49 | 46.74% |
| Teplame vs Jin | 36–32 | 52.94% |
| Teplame vs Reina | 36–27 | 57.14% |
| Teplame vs King | 28–23 | 54.90% |
| Teplame vs Bryan | 21–29 | 42.00% |
| Teplame vs Paul | 25–24 | 51.02% |
| Teplame vs Jun | 23–19 | 54.76% |
| Teplame vs Law | 23–14 | 62.16% |
| Teplame vs Dragunov | 13–23 | 36.11% |
| Teplame vs Hwoarang | 20–12 | 62.50% |
| Teplame vs Steve | 20–12 | 62.50% |
| Teplame vs Lidia | 19–9 | 67.86% |
| Teplame vs Victor | 16–10 | 61.54% |
| Teplame vs Lili | 10–15 | 40.00% |
| Teplame vs Lee | 11–12 | 47.83% |
| Teplame vs Feng | 11–11 | 50.00% |
| Teplame vs Yoshimitsu | 6–14 | 30.00% |
| Teplame vs Devil Jin | 10–9 | 52.63% |
| Teplame vs Xiaoyu | 11–7 | 61.11% |
| Teplame vs Jack-8 | 7–11 | 38.89% |
| Teplame vs Asuka | 10–6 | 62.50% |
| Teplame vs Zafina | 11–5 | 68.75% |
| Teplame vs Raven | 9–7 | 56.25% |
| Teplame vs Eddy | 7–6 | 53.85% |
| Teplame vs Nina | 7–2 | 77.78% |
| Teplame vs Kuma | 6–3 | 66.67% |
| Teplame vs Azucena | 6–3 | 66.67% |
| Teplame vs Leo | 1–6 | 14.29% |
| Teplame vs Lars | 5–2 | 71.43% |
| Teplame vs Alisa | 4–2 | 66.67% |
| Teplame vs Anna | 2–4 | 33.33% |
| Teplame vs Shaheen | 2–3 | 40.00% |
| Teplame vs Clive | 2–3 | 40.00% |
| Teplame vs Leroy | 3–1 | 75.00% |
| Teplame vs Claudio | 1–2 | 33.33% |
| Teplame vs Panda | 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.