| slm98x vs Kazuya | 520–497 | 51.13% |
| slm98x vs Jin | 523–423 | 55.29% |
| slm98x vs Bryan | 321–358 | 47.28% |
| slm98x vs King | 247–329 | 42.88% |
| slm98x vs Dragunov | 292–271–1 | 51.87% |
| slm98x vs Heihachi | 253–229 | 52.49% |
| slm98x vs Steve | 193–249 | 43.67% |
| slm98x vs Hwoarang | 172–226 | 43.22% |
| slm98x vs Law | 190–198 | 48.97% |
| slm98x vs Reina | 183–144 | 55.96% |
| slm98x vs Lee | 136–181 | 42.90% |
| slm98x vs Lili | 132–163 | 44.75% |
| slm98x vs Yoshimitsu | 127–166 | 43.34% |
| slm98x vs Paul | 118–173 | 40.55% |
| slm98x vs Devil Jin | 114–170 | 40.14% |
| slm98x vs Claudio | 115–85 | 57.50% |
| slm98x vs Nina | 81–114 | 41.54% |
| slm98x vs Victor | 115–79 | 59.28% |
| slm98x vs Alisa | 99–94 | 51.30% |
| slm98x vs Jun | 91–100 | 47.64% |
| slm98x vs Azucena | 95–93 | 50.53% |
| slm98x vs Feng | 88–98 | 47.31% |
| slm98x vs Jack-8 | 87–95 | 47.80% |
| slm98x vs Asuka | 77–104 | 42.54% |
| slm98x vs Lars | 67–103 | 39.41% |
| slm98x vs Anna | 65–74 | 46.76% |
| slm98x vs Clive | 65–69 | 48.51% |
| slm98x vs Eddy | 40–90 | 30.77% |
| slm98x vs Fahkumram | 59–66 | 47.20% |
| slm98x vs Xiaoyu | 46–70 | 39.66% |
| slm98x vs Lidia | 51–58 | 46.79% |
| slm98x vs Leroy | 43–65 | 39.81% |
| slm98x vs Shaheen | 42–50 | 45.65% |
| slm98x vs Leo | 43–47 | 47.78% |
| slm98x vs Kuma | 24–41 | 36.92% |
| slm98x vs Raven | 24–37 | 39.34% |
| slm98x vs Zafina | 23–35 | 39.66% |
| slm98x vs Panda | 6–12 | 33.33% |
| slm98x vs Armor King | 1–3 | 25.00% |
| slm98x vs Miary Zo | 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.