| TIQ-shvar vs Jin | 68–34 | 66.67% |
| TIQ-shvar vs Bryan | 77–24 | 76.24% |
| TIQ-shvar vs Kazuya | 52–29 | 64.20% |
| TIQ-shvar vs King | 50–27 | 64.94% |
| TIQ-shvar vs Law | 53–23 | 69.74% |
| TIQ-shvar vs Feng | 44–26 | 62.86% |
| TIQ-shvar vs Hwoarang | 50–19 | 72.46% |
| TIQ-shvar vs Heihachi | 50–16 | 75.76% |
| TIQ-shvar vs Paul | 45–20 | 69.23% |
| TIQ-shvar vs Dragunov | 40–22 | 64.52% |
| TIQ-shvar vs Lili | 28–27 | 50.91% |
| TIQ-shvar vs Lee | 32–19 | 62.75% |
| TIQ-shvar vs Devil Jin | 19–25 | 43.18% |
| TIQ-shvar vs Xiaoyu | 22–21 | 51.16% |
| TIQ-shvar vs Victor | 27–16 | 62.79% |
| TIQ-shvar vs Yoshimitsu | 20–22 | 47.62% |
| TIQ-shvar vs Steve | 31–7 | 81.58% |
| TIQ-shvar vs Jack-8 | 18–14 | 56.25% |
| TIQ-shvar vs Reina | 18–14 | 56.25% |
| TIQ-shvar vs Azucena | 20–12 | 62.50% |
| TIQ-shvar vs Lidia | 15–15 | 50.00% |
| TIQ-shvar vs Lars | 16–13 | 55.17% |
| TIQ-shvar vs Alisa | 20–7 | 74.07% |
| TIQ-shvar vs Anna | 16–11 | 59.26% |
| TIQ-shvar vs Jun | 13–13 | 50.00% |
| TIQ-shvar vs Armor King | 15–10 | 60.00% |
| TIQ-shvar vs Eddy | 15–9 | 62.50% |
| TIQ-shvar vs Leo | 16–6 | 72.73% |
| TIQ-shvar vs Asuka | 15–4 | 78.95% |
| TIQ-shvar vs Clive | 11–8 | 57.89% |
| TIQ-shvar vs Claudio | 8–7 | 53.33% |
| TIQ-shvar vs Raven | 12–3 | 80.00% |
| TIQ-shvar vs Nina | 6–8 | 42.86% |
| TIQ-shvar vs Shaheen | 6–7 | 46.15% |
| TIQ-shvar vs Leroy | 4–8 | 33.33% |
| TIQ-shvar vs Zafina | 5–6 | 45.45% |
| TIQ-shvar vs Kuma | 7–3 | 70.00% |
| TIQ-shvar vs Fahkumram | 7–2 | 77.78% |
| TIQ-shvar vs Miary Zo | 6–2 | 75.00% |
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.