| G33Tea16 vs Kazuya | 36–17 | 67.92% |
| G33Tea16 vs Reina | 24–22 | 52.17% |
| G33Tea16 vs Azucena | 26–16 | 61.90% |
| G33Tea16 vs Jin | 25–16 | 60.98% |
| G33Tea16 vs King | 21–18 | 53.85% |
| G33Tea16 vs Steve | 24–14 | 63.16% |
| G33Tea16 vs Dragunov | 18–15 | 54.55% |
| G33Tea16 vs Hwoarang | 17–14 | 54.84% |
| G33Tea16 vs Bryan | 14–13 | 51.85% |
| G33Tea16 vs Lars | 9–15 | 37.50% |
| G33Tea16 vs Lili | 10–13 | 43.48% |
| G33Tea16 vs Yoshimitsu | 7–12 | 36.84% |
| G33Tea16 vs Leo | 13–6 | 68.42% |
| G33Tea16 vs Law | 13–5 | 72.22% |
| G33Tea16 vs Feng | 13–5 | 72.22% |
| G33Tea16 vs Lee | 13–5 | 72.22% |
| G33Tea16 vs Victor | 9–9 | 50.00% |
| G33Tea16 vs Nina | 8–9 | 47.06% |
| G33Tea16 vs Paul | 14–2 | 87.50% |
| G33Tea16 vs Xiaoyu | 8–8 | 50.00% |
| G33Tea16 vs Jun | 8–7 | 53.33% |
| G33Tea16 vs Eddy | 11–1 | 91.67% |
| G33Tea16 vs Claudio | 6–4 | 60.00% |
| G33Tea16 vs Leroy | 8–2 | 80.00% |
| G33Tea16 vs Devil Jin | 4–5 | 44.44% |
| G33Tea16 vs Asuka | 5–3 | 62.50% |
| G33Tea16 vs Alisa | 2–5 | 28.57% |
| G33Tea16 vs Jack-8 | 3–3 | 50.00% |
| G33Tea16 vs Shaheen | 4–2 | 66.67% |
| G33Tea16 vs Zafina | 5–1 | 83.33% |
| G33Tea16 vs Clive | 4–2 | 66.67% |
| G33Tea16 vs Heihachi | 4–1 | 80.00% |
| G33Tea16 vs Raven | 3–1 | 75.00% |
| G33Tea16 vs Kuma | 2–1 | 66.67% |
| G33Tea16 vs Panda | 0–2 | 0.00% |
| G33Tea16 vs Lidia | 2–0 | 100.00% |
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.