Latest game
DefeatRanked
EL
ALELUpdated 6 days ago
Steam
JapanC100%
SteamJapanC100%Samiyare
Capoeira Connoisseur
MR 1,699#32,302Last 104–6-16Last 209–11-22
Winrate
52%
49W · 46L · 95 stored
Ranked matches
95
selected mode
Wins
49
Ranked
Losses
46
Ranked
Peak MR
1,704
Elena
Ranked MR · Elena
95 local · 0 imported · 95 on chart · 125 battles stored
Replay not requested
ELALPlaystyle reference
Habits vs top 30 Elena
Benchmark refreshed Sep 13, 2026, 10:21 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
ELLargest absolute differences first23 habits
| Habit | Samiyare | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 9.4% | 31.4% | -22.1% | |
| SA2 | 40.6% | 26.3% | +14.3% | |
| SA3 | 39.1% | 32.8% | +6.3% | |
| Drive Rush (cancel) | 29.5% | 31.0% | -1.6% | |
| Corner pressure | 11.60 | 13.06 | -1.46 | |
| CA | 10.9% | 9.5% | +1.4% | |
| Drive Guard | 12.4% | 13.8% | -1.4% | |
| Drive Rush (parry) | 6.3% | 7.5% | -1.2% | |
| Perfect Parry | 0.20 | 0.80 | -0.60 | |
| Time cornered | 8.70 | 9.26 | -0.56 | |
| Drive Parry | 1.40 | 1.85 | -0.45 | |
| Drive Impact gauge | 1.6% | 1.2% | +0.4% | |
| Drive Arts | 18.4% | 18.1% | +0.3% | |
| Drive Reversal | 0.00 | 0.22 | -0.22 | |
| Throws | 2.00 | 2.14 | -0.14 | |
| Stuns landed | 0.00 | 0.06 | -0.06 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Drive Impact | 0.20 | 0.15 | +0.05 | |
| Throw techs | 0.50 | 0.54 | -0.04 | |
| Got thrown | 2.20 | 2.24 | -0.04 | |
| Got Punish Countered | 0.10 | 0.07 | +0.03 | |
| Punish Counters landed | 0.10 | 0.08 | +0.02 | |
| Throw parries | 0.20 | 0.19 | +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.
Elena · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.2 · reference 0.17
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 0.17
- Drive Impact gauge: profile 1.6% · reference 1.4%
Find the cause of punish events
Got Punish Countered: profile 0.1 · reference 0.07
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 0.1 · reference 0.07
- Punish Counters landed: profile 0.1 · reference 0.08
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 Luke: 130 wins in 264 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: 130 wins in 264 games
- vs Ryu: 108 wins in 216 games
Separate a tendency from a one-off event
Recent stored ranked sample: 33 wins in 60 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: 33 wins in 60 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