| I_GoByLee vs King | 43–65 | 39.81% |
| I_GoByLee vs Kazuya | 33–56 | 37.08% |
| I_GoByLee vs Jin | 36–43 | 45.57% |
| I_GoByLee vs Bryan | 31–47 | 39.74% |
| I_GoByLee vs Reina | 38–40 | 48.72% |
| I_GoByLee vs Steve | 32–45 | 41.56% |
| I_GoByLee vs Eddy | 23–37 | 38.33% |
| I_GoByLee vs Yoshimitsu | 24–34 | 41.38% |
| I_GoByLee vs Heihachi | 20–36 | 35.71% |
| I_GoByLee vs Law | 28–27 | 50.91% |
| I_GoByLee vs Dragunov | 18–37 | 32.73% |
| I_GoByLee vs Asuka | 30–24 | 55.56% |
| I_GoByLee vs Hwoarang | 26–26 | 50.00% |
| I_GoByLee vs Jun | 21–29 | 42.00% |
| I_GoByLee vs Lili | 26–22 | 54.17% |
| I_GoByLee vs Lars | 20–26 | 43.48% |
| I_GoByLee vs Nina | 25–16 | 60.98% |
| I_GoByLee vs Paul | 16–23 | 41.03% |
| I_GoByLee vs Azucena | 21–18 | 53.85% |
| I_GoByLee vs Lee | 17–20 | 45.95% |
| I_GoByLee vs Victor | 19–17 | 52.78% |
| I_GoByLee vs Clive | 12–22 | 35.29% |
| I_GoByLee vs Leroy | 15–18 | 45.45% |
| I_GoByLee vs Anna | 14–18 | 43.75% |
| I_GoByLee vs Leo | 21–9–1 | 70.00% |
| I_GoByLee vs Raven | 15–15 | 50.00% |
| I_GoByLee vs Jack-8 | 8–19 | 29.63% |
| I_GoByLee vs Feng | 9–17 | 34.62% |
| I_GoByLee vs Alisa | 13–13 | 50.00% |
| I_GoByLee vs Lidia | 12–14 | 46.15% |
| I_GoByLee vs Devil Jin | 6–18 | 25.00% |
| I_GoByLee vs Xiaoyu | 11–8 | 57.89% |
| I_GoByLee vs Claudio | 6–11 | 35.29% |
| I_GoByLee vs Kuma | 9–6 | 60.00% |
| I_GoByLee vs Zafina | 5–6 | 45.45% |
| I_GoByLee vs Shaheen | 0–8 | 0.00% |
| I_GoByLee vs Armor King | 4–4 | 50.00% |
| I_GoByLee vs Panda | 3–3 | 50.00% |
| I_GoByLee vs Fahkumram | 0–2 | 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.