| 29lon vs Jin | 27–31 | 46.55% |
| 29lon vs King | 26–21 | 55.32% |
| 29lon vs Bryan | 20–18 | 52.63% |
| 29lon vs Steve | 22–15 | 59.46% |
| 29lon vs Heihachi | 16–21 | 43.24% |
| 29lon vs Hwoarang | 16–15 | 51.61% |
| 29lon vs Clive | 14–16 | 46.67% |
| 29lon vs Reina | 14–15 | 48.28% |
| 29lon vs Jun | 15–13 | 53.57% |
| 29lon vs Victor | 7–18 | 28.00% |
| 29lon vs Devil Jin | 11–13 | 45.83% |
| 29lon vs Dragunov | 10–14 | 41.67% |
| 29lon vs Azucena | 14–7 | 66.67% |
| 29lon vs Kazuya | 10–10 | 50.00% |
| 29lon vs Lidia | 9–9 | 50.00% |
| 29lon vs Law | 11–6 | 64.71% |
| 29lon vs Feng | 5–12 | 29.41% |
| 29lon vs Yoshimitsu | 8–8 | 50.00% |
| 29lon vs Lee | 5–10 | 33.33% |
| 29lon vs Asuka | 4–10 | 28.57% |
| 29lon vs Nina | 5–9 | 35.71% |
| 29lon vs Eddy | 4–9 | 30.77% |
| 29lon vs Lars | 8–4 | 66.67% |
| 29lon vs Alisa | 3–9 | 25.00% |
| 29lon vs Kuma | 5–7 | 41.67% |
| 29lon vs Paul | 4–7 | 36.36% |
| 29lon vs Xiaoyu | 4–6 | 40.00% |
| 29lon vs Shaheen | 6–1 | 85.71% |
| 29lon vs Lili | 4–2 | 66.67% |
| 29lon vs Zafina | 1–5 | 16.67% |
| 29lon vs Jack-8 | 0–5 | 0.00% |
| 29lon vs Claudio | 3–2 | 60.00% |
| 29lon vs Raven | 2–3 | 40.00% |
| 29lon vs Armor King | 1–4 | 20.00% |
| 29lon vs Leo | 2–1 | 66.67% |
| 29lon vs Anna | 3–0 | 100.00% |
| 29lon vs Fahkumram | 1–2 | 33.33% |
| 29lon vs Panda | 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.