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VictoryRanked
ED
AK
YAUpdated 2 days ago
Steam
OtherClub · SturmanfangC100%
SteamOtherClub · SturmanfangC100%nado
Young Leader
MR 1,506#231,011Last 105–5+7Last 2011–9+27
Winrate
53%
38W · 34L · 72 stored
Ranked matches
72
selected mode
Wins
38
Ranked
Losses
34
Ranked
Peak MR
1,506
Yasmine
Ranked MR · Yasmine
50 local · 88 imported · 89 on chart · 94 battles stored
Replay not requested
EDAKPlaystyle reference
Habits vs top 30 Yasmine
Benchmark refreshed Sep 14, 2026, 10:26 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
YALargest absolute differences first23 habits
| Habit | nado | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 20.0% | 30.9% | -10.9% | |
| SA3 | 45.3% | 35.7% | +9.7% | |
| Drive Rush (cancel) | 22.9% | 29.7% | -6.9% | |
| Corner pressure | 6.40 | 13.01 | -6.61 | |
| CA | 14.7% | 9.2% | +5.5% | |
| Time cornered | 14.50 | 9.07 | +5.43 | |
| Drive Guard | 19.8% | 14.5% | +5.3% | |
| SA2 | 20.0% | 24.2% | -4.2% | |
| Drive Parry | 5.00 | 1.90 | +3.10 | |
| Got thrown | 3.70 | 2.34 | +1.36 | |
| Drive Rush (parry) | 7.4% | 8.4% | -1.0% | |
| Drive Arts | 16.7% | 17.5% | -0.9% | |
| Drive Impact gauge | 2.2% | 1.4% | +0.8% | |
| Throws | 3.20 | 2.52 | +0.68 | |
| Throw techs | 1.10 | 0.48 | +0.62 | |
| Drive Reversal | 0.00 | 0.23 | -0.23 | |
| Throw parries | 0.40 | 0.23 | +0.17 | |
| Got Punish Countered | 0.20 | 0.06 | +0.14 | |
| Drive Impact | 0.30 | 0.17 | +0.13 | |
| Punish Counters landed | 0.20 | 0.10 | +0.10 | |
| Stuns landed | 0.00 | 0.08 | -0.08 | |
| Got stunned | 0.10 | 0.06 | +0.04 | |
| Perfect Parry | 0.70 | 0.70 | +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
Find the cause of punish events
Got Punish Countered: profile 0.2 · 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
- Got Punish Countered: profile 0.2 · reference 0.11
- Punish Counters landed: profile 0.2 · reference 0.11
Trace how you lose or gain space
Corner pressure: profile 6.7 · 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 6.7 · reference 11.8
- Time cornered: profile 13.8 · reference 9.53
Give each meter spend a purpose
SA3: profile 50% · 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 50% · reference 30%
- SA2: profile 16.7% · reference 27.6%
- SA1: profile 19.4% · reference 33.1%
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 9, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Luke: 14 wins in 26 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 Luke: 14 wins in 26 games
- vs Juri: 10 wins in 26 games
- vs Alex: 9 wins in 19 games
Separate a tendency from a one-off event
Recent stored ranked sample: 15 wins in 34 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: 15 wins in 34 games
Probe defense before committing
Drive Reversal: profile 0 · reference 0.2
Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.
Try thisTry your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.
Supporting stats
- Drive Reversal: profile 0 · reference 0.2
- Got thrown: profile 3.7 · reference 2.18
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 9, 2026 · AI: dots-studio/dots-3-note-preview:free