| theGifLord vs King | 42–80 | 34.43% |
| theGifLord vs Steve | 41–75 | 35.34% |
| theGifLord vs Hwoarang | 38–72 | 34.55% |
| theGifLord vs Jin | 37–67 | 35.58% |
| theGifLord vs Bryan | 29–43 | 40.28% |
| theGifLord vs Reina | 23–49 | 31.94% |
| theGifLord vs Law | 23–48 | 32.39% |
| theGifLord vs Eddy | 17–50 | 25.37% |
| theGifLord vs Kazuya | 20–45 | 30.77% |
| theGifLord vs Lili | 23–40 | 36.51% |
| theGifLord vs Jun | 20–41 | 32.79% |
| theGifLord vs Yoshimitsu | 25–34 | 42.37% |
| theGifLord vs Heihachi | 16–40 | 28.57% |
| theGifLord vs Azucena | 21–34 | 38.18% |
| theGifLord vs Victor | 18–34 | 34.62% |
| theGifLord vs Dragunov | 16–33 | 32.65% |
| theGifLord vs Nina | 20–29 | 40.82% |
| theGifLord vs Lidia | 10–36 | 21.74% |
| theGifLord vs Clive | 16–27 | 37.21% |
| theGifLord vs Lars | 7–34 | 17.07% |
| theGifLord vs Leo | 10–25 | 28.57% |
| theGifLord vs Xiaoyu | 11–22 | 33.33% |
| theGifLord vs Lee | 13–20 | 39.39% |
| theGifLord vs Paul | 6–25 | 19.35% |
| theGifLord vs Anna | 10–21 | 32.26% |
| theGifLord vs Asuka | 8–22 | 26.67% |
| theGifLord vs Alisa | 11–16 | 40.74% |
| theGifLord vs Raven | 12–15 | 44.44% |
| theGifLord vs Devil Jin | 9–15 | 37.50% |
| theGifLord vs Kuma | 6–17 | 26.09% |
| theGifLord vs Leroy | 14–8 | 63.64% |
| theGifLord vs Claudio | 12–8 | 60.00% |
| theGifLord vs Jack-8 | 7–11 | 38.89% |
| theGifLord vs Feng | 7–11 | 38.89% |
| theGifLord vs Panda | 3–13 | 18.75% |
| theGifLord vs Shaheen | 8–7 | 53.33% |
| theGifLord vs Zafina | 5–6 | 45.45% |
| theGifLord vs Miary Zo | 0–7 | 0.00% |
| theGifLord vs Armor King | 0–4 | 0.00% |
| theGifLord vs Fahkumram | 2–0 | 100.00% |
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.