Latest game
DefeatRanked
A.
JPA.Updated 54 minutes ago
Steam
AustraliaClub · CheeseLeagueSAC100%
SteamAustraliaClub · CheeseLeagueSAC100%Moonlight
Love is Poison
MR 1,704#30,070Last 106–4-16Last 2010–10-36
Winrate
53%
71W · 63L · 134 stored
Ranked matches
134
selected mode
Wins
71
Ranked
Losses
63
Ranked
Peak MR
1,818
A.K.I.
Ranked MR · A.K.I.
134 local · 0 imported · 134 on chart · 144 battles stored
Replay not requested
A.JPPlaystyle reference
Habits vs top 30 A.K.I.
Benchmark refreshed Sep 12, 2026, 4:20 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
A.Largest absolute differences first23 habits
| Habit | Moonlight | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 64.5% | 30.6% | +33.9% | |
| SA1 | 12.9% | 37.8% | -24.9% | |
| SA2 | 9.7% | 22.0% | -12.3% | |
| Drive Rush (cancel) | 29.7% | 23.3% | +6.4% | |
| Time cornered | 5.00 | 9.83 | -4.83 | |
| CA | 12.9% | 9.6% | +3.3% | |
| Drive Guard | 14.3% | 17.0% | -2.7% | |
| Drive Arts | 18.6% | 21.0% | -2.5% | |
| Corner pressure | 12.70 | 11.29 | +1.41 | |
| Drive Impact gauge | 2.5% | 1.8% | +0.7% | |
| Got thrown | 1.60 | 2.30 | -0.70 | |
| Drive Reversal | 1.00 | 0.40 | +0.60 | |
| Drive Rush (parry) | 10.4% | 11.0% | -0.6% | |
| Drive Parry | 1.40 | 1.93 | -0.53 | |
| Perfect Parry | 0.10 | 0.60 | -0.50 | |
| Throws | 1.90 | 2.34 | -0.44 | |
| Throw parries | 0.40 | 0.22 | +0.18 | |
| Drive Impact | 0.40 | 0.24 | +0.16 | |
| Stuns landed | 0.20 | 0.08 | +0.12 | |
| Got Punish Countered | 0.20 | 0.11 | +0.09 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Throw techs | 0.50 | 0.52 | -0.02 | |
| Punish Counters landed | 0.10 | 0.12 | -0.02 |
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.
A.K.I. · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.4 · reference 0.24
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 0.4 · reference 0.24
- Drive Impact gauge: profile 2.5% · reference 1.8%
Review defensive decisions
Drive Parry: profile 1.4 · reference 1.93
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 1.4 · reference 1.93
- Perfect Parry: profile 0.1 · reference 0.6
- Drive Reversal: profile 1 · reference 0.4
Give each meter spend a purpose
SA3: profile 64.5% · reference 30.6%
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 64.5% · reference 30.6%
- SA1: profile 12.9% · reference 37.8%
- SA2: profile 9.7% · reference 22%
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 15, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs M. Bison: 25 wins in 81 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 M. Bison: 25 wins in 81 games
- vs Yasmine: 117 wins in 167 games
- vs Elena: 32 wins in 42 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 15, 2026 · AI: dots-studio/dots-3-note-preview:free