| __tf vs Dragunov | 64–66 | 49.23% |
| __tf vs King | 61–57 | 51.69% |
| __tf vs Kazuya | 60–43 | 58.25% |
| __tf vs Bryan | 52–49 | 51.49% |
| __tf vs Jin | 54–46 | 54.00% |
| __tf vs Reina | 47–46 | 50.54% |
| __tf vs Hwoarang | 36–41 | 46.75% |
| __tf vs Steve | 27–49 | 35.53% |
| __tf vs Lars | 43–27 | 61.43% |
| __tf vs Law | 44–25 | 63.77% |
| __tf vs Xiaoyu | 37–32 | 53.62% |
| __tf vs Lili | 44–23 | 65.67% |
| __tf vs Lidia | 29–38 | 43.28% |
| __tf vs Devil Jin | 27–37 | 42.19% |
| __tf vs Yoshimitsu | 41–20 | 67.21% |
| __tf vs Paul | 28–30 | 48.28% |
| __tf vs Asuka | 25–33 | 43.10% |
| __tf vs Feng | 24–33 | 42.11% |
| __tf vs Lee | 32–24 | 57.14% |
| __tf vs Leroy | 21–34 | 38.18% |
| __tf vs Alisa | 30–24 | 55.56% |
| __tf vs Victor | 24–29 | 45.28% |
| __tf vs Nina | 28–23 | 54.90% |
| __tf vs Jack-8 | 19–29 | 39.58% |
| __tf vs Azucena | 20–19 | 51.28% |
| __tf vs Jun | 22–16 | 57.89% |
| __tf vs Shaheen | 17–18 | 48.57% |
| __tf vs Raven | 16–16 | 50.00% |
| __tf vs Leo | 17–13 | 56.67% |
| __tf vs Anna | 15–13 | 53.57% |
| __tf vs Claudio | 12–15 | 44.44% |
| __tf vs Heihachi | 13–14 | 48.15% |
| __tf vs Panda | 11–14 | 44.00% |
| __tf vs Zafina | 10–13 | 43.48% |
| __tf vs Eddy | 6–16 | 27.27% |
| __tf vs Kuma | 12–9 | 57.14% |
| __tf vs Fahkumram | 8–9 | 47.06% |
| __tf vs Miary Zo | 5–6 | 45.45% |
| __tf vs Armor King | 5–3 | 62.50% |
| __tf vs Clive | 3–2 | 60.00% |
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.