| TiGLoN vs King | 35–42 | 45.45% |
| TiGLoN vs Hwoarang | 39–37 | 51.32% |
| TiGLoN vs Armor King | 33–40 | 45.21% |
| TiGLoN vs Kazuya | 26–46 | 36.11% |
| TiGLoN vs Steve | 31–37 | 45.59% |
| TiGLoN vs Jin | 25–41 | 37.88% |
| TiGLoN vs Dragunov | 20–29 | 40.82% |
| TiGLoN vs Bryan | 21–23 | 47.73% |
| TiGLoN vs Law | 15–26 | 36.59% |
| TiGLoN vs Victor | 18–23 | 43.90% |
| TiGLoN vs Fahkumram | 20–21 | 48.78% |
| TiGLoN vs Paul | 15–24 | 38.46% |
| TiGLoN vs Reina | 16–22 | 42.11% |
| TiGLoN vs Heihachi | 16–22 | 42.11% |
| TiGLoN vs Yoshimitsu | 17–19 | 47.22% |
| TiGLoN vs Miary Zo | 14–17 | 45.16% |
| TiGLoN vs Devil Jin | 17–10 | 62.96% |
| TiGLoN vs Jun | 16–10 | 61.54% |
| TiGLoN vs Eddy | 11–15 | 42.31% |
| TiGLoN vs Azucena | 10–14 | 41.67% |
| TiGLoN vs Asuka | 11–12 | 47.83% |
| TiGLoN vs Claudio | 8–14 | 36.36% |
| TiGLoN vs Clive | 10–11 | 47.62% |
| TiGLoN vs Lili | 12–7 | 63.16% |
| TiGLoN vs Nina | 8–11 | 42.11% |
| TiGLoN vs Lee | 10–9 | 52.63% |
| TiGLoN vs Xiaoyu | 10–7 | 58.82% |
| TiGLoN vs Alisa | 6–11 | 35.29% |
| TiGLoN vs Feng | 4–11 | 26.67% |
| TiGLoN vs Leo | 9–5 | 64.29% |
| TiGLoN vs Anna | 6–8 | 42.86% |
| TiGLoN vs Lars | 3–10 | 23.08% |
| TiGLoN vs Lidia | 7–5 | 58.33% |
| TiGLoN vs Jack-8 | 5–5 | 50.00% |
| TiGLoN vs Leroy | 4–5 | 44.44% |
| TiGLoN vs Kuma | 3–5 | 37.50% |
| TiGLoN vs Raven | 3–4 | 42.86% |
| TiGLoN vs Shaheen | 1–3 | 25.00% |
| TiGLoN vs Panda | 1–3 | 25.00% |
| TiGLoN vs Zafina | 0–4 | 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.