| LLCamB vs Jin | 87–118 | 42.44% |
| LLCamB vs Kazuya | 96–104 | 48.00% |
| LLCamB vs King | 100–82 | 54.95% |
| LLCamB vs Steve | 74–80 | 48.05% |
| LLCamB vs Bryan | 66–84 | 44.00% |
| LLCamB vs Hwoarang | 59–89 | 39.86% |
| LLCamB vs Reina | 72–72 | 50.00% |
| LLCamB vs Law | 67–74 | 47.52% |
| LLCamB vs Dragunov | 52–66 | 44.07% |
| LLCamB vs Jun | 57–44 | 56.44% |
| LLCamB vs Eddy | 46–51 | 47.42% |
| LLCamB vs Lee | 36–58 | 38.30% |
| LLCamB vs Azucena | 34–54 | 38.64% |
| LLCamB vs Armor King | 47–41 | 53.41% |
| LLCamB vs Heihachi | 36–51 | 41.38% |
| LLCamB vs Lars | 38–41 | 48.10% |
| LLCamB vs Victor | 37–41 | 47.44% |
| LLCamB vs Paul | 33–44 | 42.86% |
| LLCamB vs Lili | 31–44 | 41.33% |
| LLCamB vs Asuka | 37–33 | 52.86% |
| LLCamB vs Jack-8 | 29–40 | 42.03% |
| LLCamB vs Xiaoyu | 29–39 | 42.65% |
| LLCamB vs Nina | 23–44 | 34.33% |
| LLCamB vs Yoshimitsu | 25–30 | 45.45% |
| LLCamB vs Devil Jin | 24–27 | 47.06% |
| LLCamB vs Feng | 15–32 | 31.91% |
| LLCamB vs Leo | 19–27 | 41.30% |
| LLCamB vs Alisa | 16–30 | 34.78% |
| LLCamB vs Lidia | 19–21 | 47.50% |
| LLCamB vs Claudio | 17–22 | 43.59% |
| LLCamB vs Anna | 19–19 | 50.00% |
| LLCamB vs Shaheen | 20–16 | 55.56% |
| LLCamB vs Leroy | 10–25 | 28.57% |
| LLCamB vs Raven | 14–18 | 43.75% |
| LLCamB vs Miary Zo | 9–21 | 30.00% |
| LLCamB vs Fahkumram | 13–16 | 44.83% |
| LLCamB vs Clive | 14–10 | 58.33% |
| LLCamB vs Zafina | 11–10 | 52.38% |
| LLCamB vs Kuma | 8–12 | 40.00% |
| LLCamB vs Panda | 0–3 | 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.