Latest game
VictoryRanked
JP
EDJPUpdated 7 days ago
Steam
JapanC100%
SteamJapanC100%ゆきかげb
Let's Do This
MR 1,465#394,045Last 106–4+19Last 2012–8+35
Winrate
59%
13W · 9L · 22 stored
Ranked matches
22
selected mode
Wins
13
Ranked
Losses
9
Ranked
Peak MR
1,465
JP
Ranked MR · JP
22 local · 0 imported · 22 on chart · 102 battles stored
Replay not requested
JPEDPlaystyle 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 | ゆきかげb | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 79.6% | 56.6% | +23.0% | |
| Drive Rush (cancel) | 7.1% | 23.1% | -16.1% | |
| Drive Arts | 46.9% | 32.1% | +14.8% | |
| SA3 | 5.6% | 19.2% | -13.6% | |
| SA1 | 11.1% | 19.2% | -8.1% | |
| Corner pressure | 7.60 | 10.77 | -3.17 | |
| Drive Guard | 10.0% | 12.8% | -2.8% | |
| Drive Rush (parry) | 5.0% | 6.5% | -1.5% | |
| Time cornered | 13.40 | 12.04 | +1.36 | |
| CA | 3.7% | 5.0% | -1.3% | |
| Throws | 1.50 | 1.97 | -0.47 | |
| Drive Impact gauge | 1.7% | 2.1% | -0.5% | |
| Drive Parry | 1.70 | 2.07 | -0.37 | |
| Perfect Parry | 0.50 | 0.79 | -0.29 | |
| Throw techs | 0.20 | 0.39 | -0.19 | |
| Throw parries | 0.60 | 0.41 | +0.19 | |
| Got thrown | 2.00 | 2.13 | -0.13 | |
| Stuns landed | 0.00 | 0.09 | -0.09 | |
| Drive Reversal | 0.20 | 0.13 | +0.07 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Drive Impact | 0.30 | 0.34 | -0.04 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Got Punish Countered | 0.10 | 0.08 | +0.02 |
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 0.2 · 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 0.2 · reference 0.34
- Drive Impact gauge: profile 1.2% · reference 2.1%
Review close-range choices
Throws: profile 1.4 · reference 1.97
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.
Supporting stats
- Throws: profile 1.4 · reference 1.97
- Got thrown: profile 2.2 · reference 2.13
- Throw techs: profile 0.2 · reference 0.39
Trace how you lose or gain space
Corner pressure: profile 7.5 · reference 10.77
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 7.5 · reference 10.77
- Time cornered: profile 15.3 · reference 12.04
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Rashid: 25 wins in 109 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 Rashid: 25 wins in 109 games
- vs Elena: 50 wins in 106 games
- vs Alex: 69 wins in 97 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free