Latest game
VictoryRanked
ED
KEEDUpdated 4 days ago
Steam
JapanM100%
SteamJapanM100%ボタンの操作不能…レバーの操作
Fist Full of Gratitude
MR 1,582#105,025Last 108–2+46Last 2014–6+60
Winrate
59%
16W · 11L · 27 stored
Ranked matches
27
selected mode
Wins
16
Ranked
Losses
11
Ranked
Peak MR
1,640
Ed
Ranked MR · Ed
27 local · 0 imported · 27 on chart · 27 battles stored
Replay not requested
EDKEPlaystyle reference
Habits vs top 30 Ed
Benchmark refreshed Sep 12, 2026, 10:17 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
EDLargest absolute differences first23 habits
| Habit | ボタンの操作不能…レバーの操作 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 55.7% | 33.7% | +22.1% | |
| SA1 | 12.9% | 33.3% | -20.5% | |
| Drive Arts | 26.4% | 18.1% | +8.3% | |
| Drive Rush (cancel) | 27.4% | 35.3% | -8.0% | |
| SA2 | 15.7% | 23.2% | -7.4% | |
| CA | 15.7% | 9.8% | +5.9% | |
| Drive Impact gauge | 5.4% | 1.7% | +3.8% | |
| Corner pressure | 8.00 | 11.75 | -3.75 | |
| Drive Guard | 9.5% | 12.9% | -3.4% | |
| Time cornered | 7.90 | 8.93 | -1.03 | |
| Drive Parry | 0.90 | 1.92 | -1.02 | |
| Got thrown | 1.60 | 2.20 | -0.60 | |
| Perfect Parry | 0.20 | 0.79 | -0.59 | |
| Drive Impact | 0.70 | 0.22 | +0.48 | |
| Drive Rush (parry) | 6.4% | 6.8% | -0.4% | |
| Throws | 2.10 | 2.53 | -0.43 | |
| Punish Counters landed | 0.50 | 0.14 | +0.36 | |
| Throw techs | 0.20 | 0.53 | -0.33 | |
| Got Punish Countered | 0.40 | 0.10 | +0.30 | |
| Drive Reversal | 0.00 | 0.22 | -0.22 | |
| Throw parries | 0.30 | 0.21 | +0.09 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Stuns landed | 0.10 | 0.06 | +0.04 |
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.
Ed · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.5 · reference 0.11
Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.
Try thisRecreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.
Supporting stats
- Punish Counters landed: profile 0.5 · reference 0.11
- Got Punish Countered: profile 0.4 · reference 0.11
Make Drive Impact a deliberate choice
Drive Impact: profile 0.7 · reference 0.2
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 0.7 · reference 0.2
- Drive Impact gauge: profile 5.4% · reference 1.5%
Give each meter spend a purpose
SA3: profile 55.7% · reference 30%
Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.
Try thisPractice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.
Supporting stats
- SA3: profile 55.7% · reference 30%
- CA: profile 15.7% · reference 9.3%
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 10, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Char 253: 181 wins in 359 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 Char 253: 181 wins in 359 games
- vs Ryu: 12 wins in 28 games
- vs Cammy: 18 wins in 27 games
Separate a tendency from a one-off event
Recent stored ranked sample: 12 wins in 23 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: 12 wins in 23 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 10, 2026 · AI: dots-studio/dots-3-note-preview:free