| 猫弌@tom vs Hwoarang | 8–25 | 24.24% |
| 猫弌@tom vs Miary Zo | 12–16 | 42.86% |
| 猫弌@tom vs Armor King | 11–14 | 44.00% |
| 猫弌@tom vs Yoshimitsu | 9–15 | 37.50% |
| 猫弌@tom vs Bryan | 9–15 | 37.50% |
| 猫弌@tom vs Asuka | 8–15 | 34.78% |
| 猫弌@tom vs Reina | 15–7 | 68.18% |
| 猫弌@tom vs King | 11–7 | 61.11% |
| 猫弌@tom vs Clive | 4–14 | 22.22% |
| 猫弌@tom vs Victor | 7–10 | 41.18% |
| 猫弌@tom vs Kazuya | 0–15 | 0.00% |
| 猫弌@tom vs Law | 6–8 | 42.86% |
| 猫弌@tom vs Steve | 10–4 | 71.43% |
| 猫弌@tom vs Alisa | 4–10 | 28.57% |
| 猫弌@tom vs Paul | 1–11 | 8.33% |
| 猫弌@tom vs Feng | 6–6 | 50.00% |
| 猫弌@tom vs Dragunov | 4–8 | 33.33% |
| 猫弌@tom vs Xiaoyu | 3–8 | 27.27% |
| 猫弌@tom vs Leroy | 6–5 | 54.55% |
| 猫弌@tom vs Devil Jin | 3–7 | 30.00% |
| 猫弌@tom vs Lee | 2–8 | 20.00% |
| 猫弌@tom vs Lili | 5–4 | 55.56% |
| 猫弌@tom vs Jun | 3–6 | 33.33% |
| 猫弌@tom vs Claudio | 2–6 | 25.00% |
| 猫弌@tom vs Lidia | 4–4 | 50.00% |
| 猫弌@tom vs Anna | 4–4 | 50.00% |
| 猫弌@tom vs Jack-8 | 0–7 | 0.00% |
| 猫弌@tom vs Kuma | 4–3 | 57.14% |
| 猫弌@tom vs Raven | 4–3 | 57.14% |
| 猫弌@tom vs Azucena | 2–4 | 33.33% |
| 猫弌@tom vs Fahkumram | 1–5 | 16.67% |
| 猫弌@tom vs Jin | 3–1 | 75.00% |
| 猫弌@tom vs Leo | 0–4 | 0.00% |
| 猫弌@tom vs Lars | 2–2 | 50.00% |
| 猫弌@tom vs Heihachi | 3–1 | 75.00% |
| 猫弌@tom vs Eddy | 0–2 | 0.00% |
| 猫弌@tom vs Nina | 1–0 | 100.00% |
| 猫弌@tom vs Panda | 1–0 | 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.