| gleann vs Kazuya | 100–163 | 38.02% |
| gleann vs Paul | 70–118 | 37.23% |
| gleann vs Reina | 91–95 | 48.92% |
| gleann vs Hwoarang | 83–99 | 45.60% |
| gleann vs Jin | 86–95 | 47.51% |
| gleann vs Bryan | 90–90 | 50.00% |
| gleann vs Dragunov | 97–83 | 53.89% |
| gleann vs King | 61–78 | 43.88% |
| gleann vs Heihachi | 68–70 | 49.28% |
| gleann vs Law | 49–76 | 39.20% |
| gleann vs Lili | 59–62 | 48.76% |
| gleann vs Steve | 48–69 | 41.03% |
| gleann vs Yoshimitsu | 52–57 | 47.71% |
| gleann vs Asuka | 41–61 | 40.20% |
| gleann vs Victor | 38–63 | 37.62% |
| gleann vs Jun | 53–42 | 55.79% |
| gleann vs Clive | 53–32 | 62.35% |
| gleann vs Lee | 41–37–1 | 52.56% |
| gleann vs Devil Jin | 24–44 | 35.29% |
| gleann vs Feng | 23–45 | 33.82% |
| gleann vs Nina | 31–36 | 46.27% |
| gleann vs Claudio | 31–35 | 46.97% |
| gleann vs Azucena | 35–27 | 56.45% |
| gleann vs Eddy | 33–28 | 54.10% |
| gleann vs Alisa | 24–34 | 41.38% |
| gleann vs Xiaoyu | 20–37 | 35.09% |
| gleann vs Jack-8 | 22–34 | 39.29% |
| gleann vs Lars | 25–29 | 46.30% |
| gleann vs Lidia | 25–29 | 46.30% |
| gleann vs Fahkumram | 23–22 | 51.11% |
| gleann vs Leroy | 11–25 | 30.56% |
| gleann vs Anna | 19–17 | 52.78% |
| gleann vs Kuma | 16–19 | 45.71% |
| gleann vs Shaheen | 7–23 | 23.33% |
| gleann vs Armor King | 14–16 | 46.67% |
| gleann vs Miary Zo | 14–13 | 51.85% |
| gleann vs Leo | 8–18 | 30.77% |
| gleann vs Zafina | 9–13 | 40.91% |
| gleann vs Raven | 5–9 | 35.71% |
| gleann vs Panda | 2–7 | 22.22% |
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.