| TeeDaGr8 vs Armor King | 6–8 | 42.86% |
| TeeDaGr8 vs Heihachi | 8–5 | 61.54% |
| TeeDaGr8 vs Bryan | 6–6 | 50.00% |
| TeeDaGr8 vs Paul | 9–2 | 81.82% |
| TeeDaGr8 vs King | 5–6 | 45.45% |
| TeeDaGr8 vs Lili | 10–1 | 90.91% |
| TeeDaGr8 vs Reina | 7–4 | 63.64% |
| TeeDaGr8 vs Dragunov | 6–4 | 60.00% |
| TeeDaGr8 vs Hwoarang | 5–4 | 55.56% |
| TeeDaGr8 vs Steve | 3–6 | 33.33% |
| TeeDaGr8 vs Leo | 2–7 | 22.22% |
| TeeDaGr8 vs Jun | 7–2 | 77.78% |
| TeeDaGr8 vs Victor | 8–1 | 88.89% |
| TeeDaGr8 vs Law | 7–1 | 87.50% |
| TeeDaGr8 vs Jin | 2–6 | 25.00% |
| TeeDaGr8 vs Kazuya | 6–2 | 75.00% |
| TeeDaGr8 vs Alisa | 7–1 | 87.50% |
| TeeDaGr8 vs Eddy | 4–4 | 50.00% |
| TeeDaGr8 vs Clive | 3–5 | 37.50% |
| TeeDaGr8 vs Xiaoyu | 4–2 | 66.67% |
| TeeDaGr8 vs Asuka | 4–2 | 66.67% |
| TeeDaGr8 vs Lee | 3–3 | 50.00% |
| TeeDaGr8 vs Azucena | 6–0 | 100.00% |
| TeeDaGr8 vs Yoshimitsu | 3–2 | 60.00% |
| TeeDaGr8 vs Feng | 5–0 | 100.00% |
| TeeDaGr8 vs Lars | 3–2 | 60.00% |
| TeeDaGr8 vs Zafina | 4–1 | 80.00% |
| TeeDaGr8 vs Jack-8 | 2–2 | 50.00% |
| TeeDaGr8 vs Nina | 3–0 | 100.00% |
| TeeDaGr8 vs Lidia | 2–1 | 66.67% |
| TeeDaGr8 vs Anna | 2–0 | 100.00% |
| TeeDaGr8 vs Claudio | 1–0 | 100.00% |
| TeeDaGr8 vs Shaheen | 1–0 | 100.00% |
| TeeDaGr8 vs Kuma | 1–0 | 100.00% |
| TeeDaGr8 vs Leroy | 1–0 | 100.00% |
| TeeDaGr8 vs Fahkumram | 1–0 | 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.