| tjwldn99 vs Reina | 40–24 | 62.50% |
| tjwldn99 vs Hwoarang | 37–25 | 59.68% |
| tjwldn99 vs Kazuya | 26–32 | 44.83% |
| tjwldn99 vs Dragunov | 17–37 | 31.48% |
| tjwldn99 vs Bryan | 25–27 | 48.08% |
| tjwldn99 vs King | 29–22 | 56.86% |
| tjwldn99 vs Jin | 27–24 | 52.94% |
| tjwldn99 vs Lili | 25–25 | 50.00% |
| tjwldn99 vs Claudio | 16–22 | 42.11% |
| tjwldn99 vs Victor | 19–18 | 51.35% |
| tjwldn99 vs Asuka | 12–22 | 35.29% |
| tjwldn99 vs Paul | 14–18 | 43.75% |
| tjwldn99 vs Yoshimitsu | 12–20 | 37.50% |
| tjwldn99 vs Alisa | 13–19 | 40.62% |
| tjwldn99 vs Leroy | 16–16 | 50.00% |
| tjwldn99 vs Devil Jin | 20–10 | 66.67% |
| tjwldn99 vs Steve | 16–13 | 55.17% |
| tjwldn99 vs Law | 12–15 | 44.44% |
| tjwldn99 vs Azucena | 18–9 | 66.67% |
| tjwldn99 vs Feng | 14–12 | 53.85% |
| tjwldn99 vs Nina | 14–12 | 53.85% |
| tjwldn99 vs Xiaoyu | 11–13 | 45.83% |
| tjwldn99 vs Eddy | 8–14 | 36.36% |
| tjwldn99 vs Lee | 9–12 | 42.86% |
| tjwldn99 vs Heihachi | 9–11 | 45.00% |
| tjwldn99 vs Jack-8 | 8–9 | 47.06% |
| tjwldn99 vs Leo | 8–6 | 57.14% |
| tjwldn99 vs Jun | 9–5 | 64.29% |
| tjwldn99 vs Lars | 5–8 | 38.46% |
| tjwldn99 vs Kuma | 5–6 | 45.45% |
| tjwldn99 vs Shaheen | 5–4 | 55.56% |
| tjwldn99 vs Raven | 5–4 | 55.56% |
| tjwldn99 vs Zafina | 2–4 | 33.33% |
| tjwldn99 vs Anna | 1–5 | 16.67% |
| tjwldn99 vs Clive | 0–4 | 0.00% |
| tjwldn99 vs Armor King | 2–0 | 100.00% |
| tjwldn99 vs Panda | 0–1 | 0.00% |
| tjwldn99 vs Lidia | 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.