| .Smajo vs Bryan | 617–596 | 50.87% |
| .Smajo vs Kazuya | 607–572 | 51.48% |
| .Smajo vs Jin | 591–453 | 56.61% |
| .Smajo vs Steve | 563–447 | 55.74% |
| .Smajo vs Reina | 570–370 | 60.64% |
| .Smajo vs Hwoarang | 394–506 | 43.78% |
| .Smajo vs King | 473–400 | 54.18% |
| .Smajo vs Heihachi | 380–405 | 48.41% |
| .Smajo vs Dragunov | 354–425 | 45.44% |
| .Smajo vs Yoshimitsu | 345–368–1 | 48.39% |
| .Smajo vs Paul | 354–337 | 51.23% |
| .Smajo vs Law | 338–344 | 49.56% |
| .Smajo vs Lili | 351–311 | 53.02% |
| .Smajo vs Lee | 305–305 | 50.00% |
| .Smajo vs Lars | 302–295 | 50.59% |
| .Smajo vs Lidia | 298–298 | 50.00% |
| .Smajo vs Asuka | 303–265 | 53.35% |
| .Smajo vs Xiaoyu | 288–261 | 52.46% |
| .Smajo vs Devil Jin | 289–253 | 53.32% |
| .Smajo vs Jun | 281–232 | 54.78% |
| .Smajo vs Azucena | 333–176 | 65.42% |
| .Smajo vs Nina | 223–258 | 46.36% |
| .Smajo vs Leo | 246–221 | 52.68% |
| .Smajo vs Feng | 202–251 | 44.59% |
| .Smajo vs Raven | 211–222 | 48.73% |
| .Smajo vs Victor | 219–190 | 53.55% |
| .Smajo vs Claudio | 215–188 | 53.35% |
| .Smajo vs Jack-8 | 153–240 | 38.93% |
| .Smajo vs Eddy | 188–192 | 49.47% |
| .Smajo vs Leroy | 175–185 | 48.61% |
| .Smajo vs Zafina | 183–167 | 52.29% |
| .Smajo vs Clive | 181–169 | 51.71% |
| .Smajo vs Shaheen | 125–216 | 36.66% |
| .Smajo vs Alisa | 153–167 | 47.81% |
| .Smajo vs Kuma | 157–134 | 53.95% |
| .Smajo vs Anna | 133–128 | 50.96% |
| .Smajo vs Armor King | 132–124 | 51.56% |
| .Smajo vs Miary Zo | 50–52 | 49.02% |
| .Smajo vs Panda | 55–40 | 57.89% |
| .Smajo vs Fahkumram | 43–52 | 45.26% |
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.