| Tolgish vs King | 15–12 | 55.56% |
| Tolgish vs Jin | 18–8 | 69.23% |
| Tolgish vs Miary Zo | 13–11 | 54.17% |
| Tolgish vs Hwoarang | 10–12 | 45.45% |
| Tolgish vs Kazuya | 11–10 | 52.38% |
| Tolgish vs Law | 6–11 | 35.29% |
| Tolgish vs Bryan | 8–8 | 50.00% |
| Tolgish vs Steve | 4–10 | 28.57% |
| Tolgish vs Claudio | 6–6 | 50.00% |
| Tolgish vs Armor King | 4–8 | 33.33% |
| Tolgish vs Eddy | 5–6 | 45.45% |
| Tolgish vs Alisa | 4–6 | 40.00% |
| Tolgish vs Reina | 4–6 | 40.00% |
| Tolgish vs Asuka | 4–5 | 44.44% |
| Tolgish vs Anna | 5–4 | 55.56% |
| Tolgish vs Lars | 6–2 | 75.00% |
| Tolgish vs Leroy | 6–2 | 75.00% |
| Tolgish vs Xiaoyu | 1–6 | 14.29% |
| Tolgish vs Dragunov | 4–3 | 57.14% |
| Tolgish vs Heihachi | 3–4 | 42.86% |
| Tolgish vs Devil Jin | 5–1 | 83.33% |
| Tolgish vs Lili | 2–4 | 33.33% |
| Tolgish vs Clive | 2–4 | 33.33% |
| Tolgish vs Yoshimitsu | 1–4 | 20.00% |
| Tolgish vs Jun | 2–3 | 40.00% |
| Tolgish vs Zafina | 2–2 | 50.00% |
| Tolgish vs Fahkumram | 2–2 | 50.00% |
| Tolgish vs Feng | 1–2 | 33.33% |
| Tolgish vs Nina | 1–2 | 33.33% |
| Tolgish vs Victor | 0–3 | 0.00% |
| Tolgish vs Paul | 0–2 | 0.00% |
| Tolgish vs Leo | 1–1 | 50.00% |
| Tolgish vs Lee | 2–0 | 100.00% |
| Tolgish vs Kuma | 0–2 | 0.00% |
| Tolgish vs Azucena | 2–0 | 100.00% |
| Tolgish 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.