Latest game
DefeatRanked
ED
MA
DEUpdated 1 day ago
CrossPlatform
United StatesClub · KappaChinoC100%
CrossPlatformUnited StatesClub · KappaChinoC100%txhc6977
Conqueror: Liberator
Last 101–5Last 201–5
Winrate
17%
1W · 5L · 6 stored
Ranked matches
6
selected mode
Wins
1
Ranked
Losses
5
Ranked
Peak MR
1,500
Dee Jay
Ranked MR · Dee Jay
0 local · 0 imported · 0 on chart · 6 battles stored
Not enough ranked MR points in this range yet.
Replay not requested
EDMAPlaystyle reference
Habits vs top 30 Dee Jay
Benchmark refreshed Sep 15, 2026, 7:28 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
DELargest absolute differences first23 habits
| Habit | txhc6977 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 68.4% | 33.0% | +35.4% | |
| SA1 | 7.9% | 33.3% | -25.4% | |
| SA2 | 0.0% | 23.8% | -23.8% | |
| Drive Arts | 47.9% | 25.1% | +22.8% | |
| Drive Rush (cancel) | 0.0% | 22.8% | -22.8% | |
| Drive Guard | 0.6% | 14.9% | -14.4% | |
| Drive Impact gauge | 15.9% | 1.5% | +14.3% | |
| CA | 23.7% | 9.9% | +13.8% | |
| Corner pressure | 2.80 | 12.34 | -9.54 | |
| Drive Rush (parry) | 0.0% | 9.1% | -9.1% | |
| Time cornered | 11.70 | 9.45 | +2.25 | |
| Drive Parry | 0.30 | 1.67 | -1.37 | |
| Drive Impact | 1.50 | 0.20 | +1.30 | |
| Throws | 3.50 | 2.52 | +0.98 | |
| Punish Counters landed | 0.90 | 0.12 | +0.78 | |
| Got Punish Countered | 0.70 | 0.10 | +0.60 | |
| Perfect Parry | 0.00 | 0.55 | -0.55 | |
| Got thrown | 2.70 | 2.22 | +0.48 | |
| Throw techs | 0.80 | 0.46 | +0.34 | |
| Drive Reversal | 0.00 | 0.18 | -0.18 | |
| Throw parries | 0.20 | 0.27 | -0.07 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 |
FROM STATS TO PRACTICE
Latest 100Match plan
Turn this profile’s habits and results into ideas to test. Habits cover all characters; the selected character sets the comparison group.
Checking for a saved match plan…
Uses public profile stats with OpenRouter’s free AI models. Plans are shared and saved for reuse. Suggestions are hypotheses, not replay analysis.