Latest game
VictoryRanked
ED
JAEDUpdated 2 days ago
Steam
JapanClub · MEDormM100%
SteamJapanClub · MEDormM100%ニシンのパイ
You Want the Foot?
MR 1,622#60,988Last 108–2+47Last 2011–9+14
Winrate
50%
14W · 14L · 28 stored
Ranked matches
28
selected mode
Wins
14
Ranked
Losses
14
Ranked
Peak MR
1,622
Ed
Ranked MR · Ed
28 local · 0 imported · 28 on chart · 28 battles stored
Replay not requested
EDJAPlaystyle 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 | ニシンのパイ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 69.4% | 33.7% | +35.8% | |
| SA1 | 13.9% | 33.3% | -19.5% | |
| Drive Rush (cancel) | 53.5% | 35.3% | +18.2% | |
| SA2 | 5.6% | 23.2% | -17.6% | |
| Drive Guard | 7.0% | 12.9% | -5.9% | |
| Drive Rush (parry) | 1.1% | 6.8% | -5.7% | |
| Corner pressure | 7.80 | 11.75 | -3.95 | |
| Drive Arts | 14.7% | 18.1% | -3.4% | |
| CA | 11.1% | 9.8% | +1.3% | |
| Perfect Parry | 0.20 | 0.79 | -0.59 | |
| Throws | 3.10 | 2.53 | +0.57 | |
| Drive Impact gauge | 1.3% | 1.7% | -0.3% | |
| Drive Reversal | 0.00 | 0.22 | -0.22 | |
| Time cornered | 9.10 | 8.93 | +0.17 | |
| Throw parries | 0.10 | 0.21 | -0.11 | |
| Got thrown | 2.10 | 2.20 | -0.10 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Stuns landed | 0.00 | 0.06 | -0.06 | |
| Punish Counters landed | 0.10 | 0.14 | -0.04 | |
| Throw techs | 0.50 | 0.53 | -0.03 | |
| Drive Parry | 1.90 | 1.92 | -0.02 | |
| Drive Impact | 0.20 | 0.22 | -0.02 | |
| Got Punish Countered | 0.10 | 0.10 | -0.00 |
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
Give each meter spend a purpose
SA3: profile 69.4% · 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 69.4% · reference 30%
- SA1: profile 13.9% · reference 33.1%
- SA2: profile 5.6% · reference 27.6%
Review defensive decisions
Drive Reversal: profile 0 · reference 0.2
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
- Drive Reversal: profile 0 · reference 0.2
- Perfect Parry: profile 0.2 · reference 0.76
- Drive Parry: profile 1.9 · reference 1.77
Trace how you lose or gain space
Corner pressure: profile 7.8 · reference 11.8
Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.
Try thisRecreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.
Supporting stats
- Corner pressure: profile 7.8 · reference 11.8
- Time cornered: profile 9.1 · reference 9.53
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 12, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Adapt to the visible gauge
SA3: profile 69.4% · reference 30%
Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.
Try thisAfter a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.
Supporting stats
- SA3: profile 69.4% · reference 30%
- SA1: profile 13.9% · reference 33.1%
- SA2: profile 5.6% · reference 27.6%
Use matchup records as scouting leads
vs Ryu: 25 wins in 44 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 Ryu: 25 wins in 44 games
- vs Terry: 13 wins in 26 games
- vs Jamie: 11 wins in 25 games
Separate a tendency from a one-off event
Recent stored ranked sample: 14 wins in 28 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: 14 wins in 28 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 12, 2026 · AI: dots-studio/dots-3-note-preview:free