Name history
| UFC999 | |
| buritbaris | |
| MATSENTUL | |
| ANWARIBRAHIM | |
| sajat | |
| ICEBABY5G | |
| MinggirLuMiskin | |
| KETUM[SUPIK] | |
| [NIGHTGAMING] | |
| [Delaygaming] | |
| [MariaWarocakk] | |
| [Wetpuzyy]*77 | |
| berukk | |
| kocakburik | |
| Reyna | |
| JUBO | |
| Irsyad | |
| Shaq |
| UFC999 vs Jin | 25–83 | 23.15% |
| UFC999 vs Reina | 33–75 | 30.56% |
| UFC999 vs Kazuya | 27–73 | 27.00% |
| UFC999 vs King | 30–65 | 31.58% |
| UFC999 vs Heihachi | 29–56 | 34.12% |
| UFC999 vs Dragunov | 17–52 | 24.64% |
| UFC999 vs Lili | 28–38 | 42.42% |
| UFC999 vs Steve | 15–48 | 23.81% |
| UFC999 vs Hwoarang | 16–46 | 25.81% |
| UFC999 vs Bryan | 21–40 | 34.43% |
| UFC999 vs Law | 18–42 | 30.00% |
| UFC999 vs Victor | 17–39 | 30.36% |
| UFC999 vs Jun | 11–37 | 22.92% |
| UFC999 vs Yoshimitsu | 18–29 | 38.30% |
| UFC999 vs Devil Jin | 11–32 | 25.58% |
| UFC999 vs Asuka | 14–26 | 35.00% |
| UFC999 vs Lars | 12–23 | 34.29% |
| UFC999 vs Paul | 11–22 | 33.33% |
| UFC999 vs Lidia | 15–17 | 46.88% |
| UFC999 vs Alisa | 5–20 | 20.00% |
| UFC999 vs Eddy | 4–21 | 16.00% |
| UFC999 vs Claudio | 5–16 | 23.81% |
| UFC999 vs Azucena | 3–18 | 14.29% |
| UFC999 vs Leo | 7–12 | 36.84% |
| UFC999 vs Nina | 2–17 | 10.53% |
| UFC999 vs Feng | 1–16 | 5.88% |
| UFC999 vs Lee | 4–12 | 25.00% |
| UFC999 vs Leroy | 6–10 | 37.50% |
| UFC999 vs Xiaoyu | 2–12 | 14.29% |
| UFC999 vs Jack-8 | 2–10 | 16.67% |
| UFC999 vs Kuma | 0–11 | 0.00% |
| UFC999 vs Shaheen | 2–7 | 22.22% |
| UFC999 vs Zafina | 6–0 | 100.00% |
| UFC999 vs Raven | 1–4 | 20.00% |
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.