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DefeatRanked
DE
MADEUpdated 5 days ago
Steam
JapanClub · oruoruYoutubeC100%
SteamJapanClub · oruoruYoutubeC100%AI絵Vtuberヨノ
The Strongest Creature on Earth
MR 1,833#6,111Last 105–5+3Last 2013–7+51
Winrate
56%
51W · 40L · 91 stored
Ranked matches
91
selected mode
Wins
51
Ranked
Losses
40
Ranked
Peak MR
1,898
Dee Jay
Ranked MR · Dee Jay
89 local · 0 imported · 89 on chart · 126 battles stored
Replay not requested
DEMAPlaystyle reference
Habits vs top 30 Dee Jay
Benchmark refreshed Sep 11, 2026, 10:15 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
DELargest absolute differences first23 habits
| Habit | AI絵Vtuberヨノ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 49.4% | 33.8% | +15.6% | |
| SA1 | 21.0% | 36.2% | -15.2% | |
| Drive Rush (cancel) | 10.8% | 23.0% | -12.1% | |
| Drive Impact gauge | 5.7% | 1.8% | +3.9% | |
| Drive Rush (parry) | 12.7% | 8.9% | +3.8% | |
| Corner pressure | 10.70 | 12.23 | -1.53 | |
| Drive Guard | 16.2% | 15.1% | +1.2% | |
| Drive Parry | 0.80 | 1.76 | -0.96 | |
| Throws | 3.30 | 2.38 | +0.92 | |
| Time cornered | 8.30 | 9.11 | -0.81 | |
| Drive Arts | 25.4% | 24.7% | +0.7% | |
| SA2 | 21.0% | 21.3% | -0.3% | |
| Got thrown | 2.50 | 2.20 | +0.30 | |
| Throw techs | 0.70 | 0.43 | +0.27 | |
| Drive Impact | 0.50 | 0.24 | +0.26 | |
| Punish Counters landed | 0.30 | 0.13 | +0.17 | |
| Perfect Parry | 0.40 | 0.57 | -0.17 | |
| Stuns landed | 0.20 | 0.07 | +0.13 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Drive Reversal | 0.10 | 0.19 | -0.09 | |
| CA | 8.6% | 8.7% | -0.1% | |
| Throw parries | 0.30 | 0.25 | +0.05 | |
| Got stunned | 0.10 | 0.07 | +0.03 |
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.
Dee Jay · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.2 · reference 0.12
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 0.12
- Punish Counters landed: profile 0.3 · reference 0.12
Make Drive Impact a deliberate choice
Drive Impact: profile 0.5 · reference 0.22
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 0.5 · reference 0.22
- Drive Impact gauge: profile 5.7% · reference 1.8%
Review defensive decisions
Drive Parry: profile 0.8 · reference 1.54
Compare five defensive situations: what did the opponent do, what did you choose, and what happened? Low parry or throw-tech counts alone do not establish a weakness.
Try thisRecord two different options from one troublesome situation. Practice identifying them and choosing a response, then review whether the same decision improves in your next set.
Supporting stats
- Drive Parry: profile 0.8 · reference 1.54
- Perfect Parry: profile 0.4 · reference 0.55
- Drive Reversal: profile 0.1 · reference 0.19
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: nex-agi/nex-n2.5-mini:free
How to beat this player
Use matchup records as scouting leads
vs Char 253: 451 wins in 751 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 Char 253: 451 wins in 751 games
- vs Elena: 44 wins in 60 games
- vs Lily: 40 wins in 43 games
Separate a tendency from a one-off event
Recent stored ranked sample: 21 wins in 35 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: 21 wins in 35 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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free