Name history
| terdferguson | |
| fatloser | |
| beef.supreme | |
| notsure | |
| bottompounder | |
| JACK 14-88 | |
| beanburrito | |
| schmeat | |
| jsnmn |
| terdferguson vs Steve | 9–12 | 42.86% |
| terdferguson vs Jin | 9–11 | 45.00% |
| terdferguson vs Law | 6–12 | 33.33% |
| terdferguson vs Dragunov | 5–8 | 38.46% |
| terdferguson vs Lee | 5–7 | 41.67% |
| terdferguson vs King | 5–6 | 45.45% |
| terdferguson vs Yoshimitsu | 6–5 | 54.55% |
| terdferguson vs Lili | 5–6 | 45.45% |
| terdferguson vs Jun | 4–7 | 36.36% |
| terdferguson vs Reina | 4–7 | 36.36% |
| terdferguson vs Victor | 2–7 | 22.22% |
| terdferguson vs Eddy | 4–5 | 44.44% |
| terdferguson vs Bryan | 3–5 | 37.50% |
| terdferguson vs Xiaoyu | 1–6 | 14.29% |
| terdferguson vs Clive | 2–5 | 28.57% |
| terdferguson vs Hwoarang | 2–4 | 33.33% |
| terdferguson vs Alisa | 4–2 | 66.67% |
| terdferguson vs Kuma | 0–6 | 0.00% |
| terdferguson vs Lars | 2–3 | 40.00% |
| terdferguson vs Nina | 0–5 | 0.00% |
| terdferguson vs Paul | 2–2 | 50.00% |
| terdferguson vs Jack-8 | 0–4 | 0.00% |
| terdferguson vs Devil Jin | 1–3 | 25.00% |
| terdferguson vs Shaheen | 2–2 | 50.00% |
| terdferguson vs Heihachi | 0–4 | 0.00% |
| terdferguson vs Anna | 0–4 | 0.00% |
| terdferguson vs Asuka | 3–0 | 100.00% |
| terdferguson vs Feng | 0–2 | 0.00% |
| terdferguson vs Azucena | 0–2 | 0.00% |
| terdferguson vs Raven | 0–2 | 0.00% |
| terdferguson vs Lidia | 0–2 | 0.00% |
| terdferguson vs Kazuya | 0–1 | 0.00% |
| terdferguson vs Panda | 0–1 | 0.00% |
| terdferguson vs Leroy | 0–1 | 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.