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VictoryRanked
SA
ZA
ELUpdated 6 days ago
Steam
JapanClub · DestroyerSC100%
SteamJapanClub · DestroyerSC100%鴨沢ひつじ
Muay Thai Erudite
MR 1,705#25,278Last 104–6-7Last 208–12-24
Winrate
53%
49W · 43L · 92 stored
Ranked matches
92
selected mode
Wins
49
Ranked
Losses
43
Ranked
Peak MR
1,705
Elena
Ranked MR · Elena
91 local · 0 imported · 91 on chart · 183 battles stored
Replay not requested
SAZAPlaystyle 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 | 鴨沢ひつじ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 20.0% | 9.5% | +10.5% | |
| SA3 | 22.5% | 32.8% | -10.3% | |
| Drive Rush (cancel) | 23.6% | 31.0% | -7.4% | |
| Drive Guard | 18.3% | 13.8% | +4.5% | |
| Corner pressure | 10.80 | 13.06 | -2.26 | |
| Time cornered | 10.80 | 9.26 | +1.54 | |
| SA1 | 30.0% | 31.4% | -1.4% | |
| Drive Rush (parry) | 8.9% | 7.5% | +1.4% | |
| Drive Parry | 3.10 | 1.85 | +1.25 | |
| SA2 | 27.5% | 26.3% | +1.2% | |
| Throws | 2.80 | 2.14 | +0.66 | |
| Drive Arts | 18.5% | 18.1% | +0.4% | |
| Throw techs | 0.70 | 0.54 | +0.16 | |
| Drive Impact gauge | 1.4% | 1.2% | +0.2% | |
| Got Punish Countered | 0.20 | 0.07 | +0.13 | |
| Perfect Parry | 0.90 | 0.80 | +0.10 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Drive Impact | 0.20 | 0.15 | +0.05 | |
| Stuns landed | 0.10 | 0.06 | +0.04 | |
| Got thrown | 2.20 | 2.24 | -0.04 | |
| Punish Counters landed | 0.10 | 0.08 | +0.02 | |
| Drive Reversal | 0.20 | 0.22 | -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
Find the cause of punish events
Got Punish Countered: profile 0 · 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 · reference 0.07
- Punish Counters landed: profile 0.1 · reference 0.08
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 1.5% · reference 1.4%
Trace how you lose or gain space
Corner pressure: profile 13.8 · 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 13.8 · reference 13.58
- Time cornered: profile 5.4 · reference 8.42
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Test the close-range pattern
Throw techs: profile 1.9 · reference 0.46
Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.
Try thisIf the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.
Supporting stats
- Throw techs: profile 1.9 · reference 0.46
- Throws: profile 2.9 · reference 2.27
- Got thrown: profile 3.5 · reference 2.08
Probe defense before committing
Drive Reversal: profile 0.1 · 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 0.1 · reference 0.2
Adapt to the visible gauge
Drive Arts: profile 14.3% · reference 17.5%
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
- Drive Arts: profile 14.3% · reference 17.5%
- SA2: profile 39.5% · reference 25.9%
- SA3: profile 40.7% · reference 34.1%
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free