| BLee2Cold vs Kazuya | 122–125 | 49.39% |
| BLee2Cold vs King | 98–131 | 42.79% |
| BLee2Cold vs Bryan | 100–105 | 48.78% |
| BLee2Cold vs Steve | 72–115 | 38.50% |
| BLee2Cold vs Law | 80–92 | 46.51% |
| BLee2Cold vs Jin | 80–90 | 47.06% |
| BLee2Cold vs Reina | 76–85 | 47.20% |
| BLee2Cold vs Hwoarang | 67–89 | 42.95% |
| BLee2Cold vs Heihachi | 70–83 | 45.75% |
| BLee2Cold vs Lili | 67–66 | 50.38% |
| BLee2Cold vs Dragunov | 62–65 | 48.82% |
| BLee2Cold vs Yoshimitsu | 43–65 | 39.81% |
| BLee2Cold vs Fahkumram | 53–55 | 49.07% |
| BLee2Cold vs Jun | 53–51 | 50.96% |
| BLee2Cold vs Eddy | 50–52 | 49.02% |
| BLee2Cold vs Paul | 45–56 | 44.55% |
| BLee2Cold vs Lars | 44–50 | 46.81% |
| BLee2Cold vs Azucena | 44–45 | 49.44% |
| BLee2Cold vs Lee | 42–46 | 47.73% |
| BLee2Cold vs Nina | 40–39 | 50.63% |
| BLee2Cold vs Anna | 36–41 | 46.75% |
| BLee2Cold vs Xiaoyu | 41–33 | 55.41% |
| BLee2Cold vs Leo | 32–33 | 49.23% |
| BLee2Cold vs Lidia | 27–34 | 44.26% |
| BLee2Cold vs Alisa | 32–28 | 53.33% |
| BLee2Cold vs Asuka | 22–31 | 41.51% |
| BLee2Cold vs Feng | 24–28 | 46.15% |
| BLee2Cold vs Victor | 22–26 | 45.83% |
| BLee2Cold vs Clive | 22–25 | 46.81% |
| BLee2Cold vs Jack-8 | 25–21 | 54.35% |
| BLee2Cold vs Claudio | 21–23 | 47.73% |
| BLee2Cold vs Devil Jin | 22–20 | 52.38% |
| BLee2Cold vs Raven | 22–20 | 52.38% |
| BLee2Cold vs Armor King | 19–23 | 45.24% |
| BLee2Cold vs Leroy | 20–18 | 52.63% |
| BLee2Cold vs Kuma | 16–17 | 48.48% |
| BLee2Cold vs Miary Zo | 8–10 | 44.44% |
| BLee2Cold vs Zafina | 7–9 | 43.75% |
| BLee2Cold vs Shaheen | 6–7 | 46.15% |
| BLee2Cold vs Panda | 1–8 | 11.11% |
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.