Name history
| bE99 | |
| vileprince | |
| 6_6i;:I- | |
| fukelonmusk | |
| TEKTEKTEKTEK | |
| bingus | |
| eddyhater | |
| Bajirao | |
| IIII | |
| glhf;) | |
| electricfiend | |
| qO_Op | |
| darkruin | |
| KB23 |
| bE99 vs Kazuya | 179–148 | 54.74% |
| bE99 vs Reina | 147–151 | 49.33% |
| bE99 vs Bryan | 121–129 | 48.40% |
| bE99 vs Jin | 106–114 | 48.18% |
| bE99 vs King | 70–104 | 40.23% |
| bE99 vs Steve | 68–90 | 43.04% |
| bE99 vs Hwoarang | 59–75 | 44.03% |
| bE99 vs Lili | 55–63 | 46.61% |
| bE99 vs Paul | 60–56 | 51.72% |
| bE99 vs Dragunov | 52–59 | 46.85% |
| bE99 vs Yoshimitsu | 52–57 | 47.71% |
| bE99 vs Lee | 40–62 | 39.22% |
| bE99 vs Jun | 65–37 | 63.73% |
| bE99 vs Azucena | 54–43 | 55.67% |
| bE99 vs Asuka | 49–41 | 54.44% |
| bE99 vs Devil Jin | 42–43 | 49.41% |
| bE99 vs Xiaoyu | 44–40 | 52.38% |
| bE99 vs Heihachi | 37–47 | 44.05% |
| bE99 vs Lars | 34–49 | 40.96% |
| bE99 vs Law | 43–33 | 56.58% |
| bE99 vs Leo | 43–32 | 57.33% |
| bE99 vs Victor | 43–32 | 57.33% |
| bE99 vs Feng | 27–39 | 40.91% |
| bE99 vs Leroy | 35–31 | 53.03% |
| bE99 vs Eddy | 18–45 | 28.57% |
| bE99 vs Kuma | 25–30 | 45.45% |
| bE99 vs Raven | 22–32 | 40.74% |
| bE99 vs Jack-8 | 20–33 | 37.74% |
| bE99 vs Alisa | 16–30 | 34.78% |
| bE99 vs Nina | 20–26 | 43.48% |
| bE99 vs Shaheen | 17–25 | 40.48% |
| bE99 vs Claudio | 15–22 | 40.54% |
| bE99 vs Zafina | 9–23 | 28.12% |
| bE99 vs Panda | 10–12 | 45.45% |
| bE99 vs Lidia | 5–15 | 25.00% |
| bE99 vs Fahkumram | 10–7 | 58.82% |
| bE99 vs Clive | 5–9 | 35.71% |
| bE99 vs Armor King | 4–6 | 40.00% |
| bE99 vs Miary Zo | 2–3 | 40.00% |
| bE99 vs Anna | 2–1 | 66.67% |
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.