Latest game
DefeatRanked
JP
SAJPUpdated 5 days ago
Steam
JapanC100%
SteamJapanC100%anima
Down for SUSHIRO
MR 1,554#129,261Last 104–6-16Last 209–11-12
Winrate
46%
23W · 27L · 50 stored
Ranked matches
50
selected mode
Wins
23
Ranked
Losses
27
Ranked
Peak MR
1,607
JP
Ranked MR · JP
50 local · 0 imported · 50 on chart · 50 battles stored
Replay not requested
JPSAPlaystyle reference
Habits vs top 30 JP
Benchmark refreshed Sep 3, 2026, 4:26 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JPLargest absolute differences first23 habits
| Habit | anima | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Arts | 54.8% | 32.1% | +22.7% | |
| SA3 | 39.7% | 19.2% | +20.5% | |
| SA2 | 37.9% | 56.6% | -18.7% | |
| Drive Rush (cancel) | 8.3% | 23.1% | -14.9% | |
| SA1 | 12.1% | 19.2% | -7.2% | |
| Drive Guard | 5.7% | 12.8% | -7.1% | |
| Time cornered | 17.80 | 12.04 | +5.76 | |
| CA | 10.3% | 5.0% | +5.4% | |
| Drive Rush (parry) | 1.8% | 6.5% | -4.7% | |
| Drive Impact gauge | 4.6% | 2.1% | +2.5% | |
| Corner pressure | 9.40 | 10.77 | -1.37 | |
| Drive Parry | 1.30 | 2.07 | -0.77 | |
| Perfect Parry | 0.30 | 0.79 | -0.49 | |
| Got thrown | 1.70 | 2.13 | -0.43 | |
| Throws | 1.60 | 1.97 | -0.37 | |
| Throw techs | 0.60 | 0.39 | +0.21 | |
| Drive Reversal | 0.00 | 0.13 | -0.13 | |
| Got Punish Countered | 0.20 | 0.08 | +0.12 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Got stunned | 0.10 | 0.04 | +0.06 | |
| Drive Impact | 0.30 | 0.34 | -0.04 | |
| Throw parries | 0.40 | 0.41 | -0.01 | |
| Stuns landed | 0.10 | 0.09 | +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.
JP · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.2 · reference 0.08
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 0.08
Trace how you lose or gain space
Time cornered: profile 17.8 · reference 12.04
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
- Time cornered: profile 17.8 · reference 12.04
- Corner pressure: profile 9.4 · reference 10.77
Give each meter spend a purpose
SA3: profile 39.7% · reference 19.2%
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 39.7% · reference 19.2%
- SA2: profile 37.9% · reference 56.6%
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
Use matchup records as scouting leads
vs Yasmine: 19 wins in 39 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 Yasmine: 19 wins in 39 games
- vs Luke: 9 wins in 26 games
- vs Ryu: 13 wins in 24 games
Separate a tendency from a one-off event
Recent stored ranked sample: 23 wins in 50 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: 23 wins in 50 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free