Latest game
DefeatRanked
EL
CHELUpdated 3 hours ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%koukun
NEW GENERATION
MR 1,207#624,840Last 105–5-8Last 2010–10-10
Winrate
53%
50W · 45L · 95 stored
Ranked matches
95
selected mode
Wins
50
Ranked
Losses
45
Ranked
Peak MR
1,268
Elena
Ranked MR · Elena
95 local · 0 imported · 95 on chart · 155 battles stored
Replay not requested
ELCHPlaystyle 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 | koukun | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 8.1% | 31.4% | -23.3% | |
| SA3 | 48.6% | 32.8% | +15.9% | |
| Drive Rush (cancel) | 16.6% | 31.0% | -14.4% | |
| CA | 18.9% | 9.5% | +9.4% | |
| Drive Arts | 24.6% | 18.1% | +6.5% | |
| Corner pressure | 8.10 | 13.06 | -4.96 | |
| Drive Guard | 9.4% | 13.8% | -4.5% | |
| Drive Rush (parry) | 4.7% | 7.5% | -2.7% | |
| Time cornered | 7.10 | 9.26 | -2.16 | |
| SA2 | 24.3% | 26.3% | -2.0% | |
| Drive Impact gauge | 2.3% | 1.2% | +1.1% | |
| Throws | 2.90 | 2.14 | +0.76 | |
| Drive Parry | 1.20 | 1.85 | -0.65 | |
| Perfect Parry | 0.20 | 0.80 | -0.60 | |
| Throw techs | 0.20 | 0.54 | -0.34 | |
| Drive Reversal | 0.50 | 0.22 | +0.28 | |
| Got thrown | 2.50 | 2.24 | +0.26 | |
| Drive Impact | 0.30 | 0.15 | +0.15 | |
| Punish Counters landed | 0.20 | 0.08 | +0.12 | |
| Stuns landed | 0.00 | 0.06 | -0.06 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Got Punish Countered | 0.10 | 0.07 | +0.03 | |
| 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
Find the cause of punish events
Got Punish Countered: profile 0.3 · 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 0.3 · reference 0.07
Trace how you lose or gain space
Corner pressure: profile 6.6 · reference 13.58
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 6.6 · reference 13.58
- Time cornered: profile 10.4 · reference 8.42
Give each meter spend a purpose
SA1: profile 6.5% · reference 30.5%
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
- SA1: profile 6.5% · reference 30.5%
- SA2: profile 35.5% · reference 25.9%
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 8, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Akuma: 38 wins in 94 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 Akuma: 38 wins in 94 games
- vs Ryu: 43 wins in 89 games
- vs Luke: 23 wins in 64 games
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.3 · reference 0.07
Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.
Try thisTest one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.
Supporting stats
- Got Punish Countered: profile 0.3 · reference 0.07
Probe defense before committing
Drive Reversal: profile 0.4 · 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 0.4 · reference 0.2
- Drive Parry: profile 1.2 · reference 1.81
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 8, 2026 · AI: dots-studio/dots-3-note-preview:free