| TyisTired vs Jin | 18–38 | 32.14% |
| TyisTired vs King | 8–37 | 17.78% |
| TyisTired vs Steve | 12–28 | 30.00% |
| TyisTired vs Kazuya | 9–19 | 32.14% |
| TyisTired vs Clive | 10–18 | 35.71% |
| TyisTired vs Reina | 11–16 | 40.74% |
| TyisTired vs Jun | 7–19 | 26.92% |
| TyisTired vs Law | 7–18 | 28.00% |
| TyisTired vs Heihachi | 11–12 | 47.83% |
| TyisTired vs Dragunov | 5–16 | 23.81% |
| TyisTired vs Bryan | 6–14 | 30.00% |
| TyisTired vs Nina | 2–17 | 10.53% |
| TyisTired vs Fahkumram | 6–13 | 31.58% |
| TyisTired vs Hwoarang | 6–10 | 37.50% |
| TyisTired vs Leroy | 5–11 | 31.25% |
| TyisTired vs Eddy | 3–13 | 18.75% |
| TyisTired vs Yoshimitsu | 3–12 | 20.00% |
| TyisTired vs Feng | 4–11 | 26.67% |
| TyisTired vs Azucena | 4–11 | 26.67% |
| TyisTired vs Lili | 8–6 | 57.14% |
| TyisTired vs Raven | 4–10 | 28.57% |
| TyisTired vs Lidia | 7–7 | 50.00% |
| TyisTired vs Armor King | 1–13 | 7.14% |
| TyisTired vs Asuka | 4–8 | 33.33% |
| TyisTired vs Lars | 5–7 | 41.67% |
| TyisTired vs Alisa | 4–8 | 33.33% |
| TyisTired vs Jack-8 | 5–6 | 45.45% |
| TyisTired vs Victor | 5–6 | 45.45% |
| TyisTired vs Lee | 1–9 | 10.00% |
| TyisTired vs Devil Jin | 4–4 | 50.00% |
| TyisTired vs Shaheen | 1–7 | 12.50% |
| TyisTired vs Leo | 3–4 | 42.86% |
| TyisTired vs Claudio | 0–5 | 0.00% |
| TyisTired vs Miary Zo | 0–4 | 0.00% |
| TyisTired vs Paul | 1–2 | 33.33% |
| TyisTired vs Xiaoyu | 1–2 | 33.33% |
| TyisTired vs Zafina | 1–2 | 33.33% |
| TyisTired vs Kuma | 2–0 | 100.00% |
| TyisTired vs Anna | 0–2 | 0.00% |
| TyisTired vs Panda | 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.