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JP
E.JPUpdated 4 hours ago
Steam
JapanClub · RiasuClubC100%
SteamJapanClub · RiasuClubC100%tora レバレス練習中
Demon Destroyer
MR 1,923#2,682Last 107–3+22Last 2012–8+25
Winrate
48%
113W · 122L · 235 stored
Ranked matches
235
selected mode
Wins
113
Ranked
Losses
122
Ranked
Peak MR
2,065
JP
Ranked MR · JP
235 local · 0 imported · 235 on chart · 282 battles stored
Replay not requested
JPE.Playstyle reference
Habits vs top 30 JP
Benchmark refreshed Sep 3, 2026, 4:26 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JPLargest absolute differences first23 habits
| Habit | tora レバレス練習中 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 76.0% | 56.6% | +19.3% | |
| SA3 | 5.4% | 19.2% | -13.7% | |
| Drive Rush (cancel) | 14.8% | 23.1% | -8.3% | |
| Drive Arts | 39.9% | 32.1% | +7.8% | |
| Corner pressure | 7.30 | 10.77 | -3.47 | |
| SA1 | 16.3% | 19.2% | -2.9% | |
| CA | 2.3% | 5.0% | -2.6% | |
| Drive Guard | 11.3% | 12.8% | -1.5% | |
| Drive Rush (parry) | 5.1% | 6.5% | -1.4% | |
| Time cornered | 13.20 | 12.04 | +1.16 | |
| Drive Impact gauge | 2.6% | 2.1% | +0.5% | |
| Throws | 1.50 | 1.97 | -0.47 | |
| Drive Parry | 1.70 | 2.07 | -0.37 | |
| Drive Impact | 0.50 | 0.34 | +0.16 | |
| Throw parries | 0.30 | 0.41 | -0.11 | |
| Throw techs | 0.30 | 0.39 | -0.09 | |
| Got thrown | 2.20 | 2.13 | +0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Punish Counters landed | 0.10 | 0.13 | -0.03 | |
| Drive Reversal | 0.10 | 0.13 | -0.03 | |
| Got Punish Countered | 0.10 | 0.08 | +0.02 | |
| Perfect Parry | 0.80 | 0.79 | +0.01 | |
| Stuns landed | 0.10 | 0.09 | +0.01 |
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.Saved match plans
Previously generated AI plans, with their original supporting stats and data dates. Expand a plan to read both perspectives.
JP · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.6 · reference 0.34
Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.
Try thisRecord Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.
Supporting stats
- Drive Impact: profile 0.6 · reference 0.34
- Drive Impact gauge: profile 3.5% · reference 2.1%
Review defensive decisions
Perfect Parry: profile 0.5 · reference 0.79
Compare five defensive situations: what did the opponent do, what did you choose, and what happened? Low parry or throw-tech counts alone do not establish a weakness.
Try thisRecord two different options from one troublesome situation. Practice identifying them and choosing a response, then review whether the same decision improves in your next set.
Supporting stats
- Perfect Parry: profile 0.5 · reference 0.79
- Drive Parry: profile 1.7 · reference 2.07
AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.
Data saved Sep 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs M. Bison: 138 wins in 192 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.
Supporting stats
- vs M. Bison: 138 wins in 192 games
Separate a tendency from a one-off event
Recent stored ranked sample: 50 wins in 100 games
Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.
Try thisUse the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.
Supporting stats
- Recent stored ranked sample: 50 wins in 100 games
AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.
Data saved Sep 6, 2026 · AI: dots-studio/dots-3-note-preview:free