Latest game
DefeatRanked
JP
CAJPUpdated 1 day ago
Steam
JapanC100%
SteamJapanC100%生姜くさみ
Let's Do This
LP 13,062Last 101–9Last 207–10
Winrate
41%
7W · 10L · 17 stored
Ranked matches
17
selected mode
Wins
7
Ranked
Losses
10
Ranked
Peak LP
13,382
JP
Ranked LP · JP
League points over time for this character
Replay not requested
JPCAPlaystyle 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 | 生姜くさみ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 64.8% | 19.2% | +45.6% | |
| SA2 | 30.7% | 56.6% | -25.9% | |
| SA3 | 4.5% | 19.2% | -14.6% | |
| Corner pressure | 3.30 | 10.77 | -7.47 | |
| Drive Guard | 7.1% | 12.8% | -5.7% | |
| CA | 0.0% | 5.0% | -5.0% | |
| Drive Rush (cancel) | 19.6% | 23.1% | -3.5% | |
| Drive Rush (parry) | 3.4% | 6.5% | -3.1% | |
| Drive Impact gauge | 5.0% | 2.1% | +2.9% | |
| Time cornered | 9.20 | 12.04 | -2.84 | |
| Drive Parry | 0.70 | 2.07 | -1.37 | |
| Drive Arts | 33.3% | 32.1% | +1.2% | |
| Got thrown | 3.10 | 2.13 | +0.97 | |
| Perfect Parry | 0.00 | 0.79 | -0.79 | |
| Throws | 1.20 | 1.97 | -0.77 | |
| Throw parries | 0.10 | 0.41 | -0.31 | |
| Got Punish Countered | 0.30 | 0.08 | +0.22 | |
| Punish Counters landed | 0.30 | 0.13 | +0.17 | |
| Drive Impact | 0.50 | 0.34 | +0.16 | |
| Drive Reversal | 0.00 | 0.13 | -0.13 | |
| Stuns landed | 0.00 | 0.09 | -0.09 | |
| Throw techs | 0.30 | 0.39 | -0.09 | |
| Got stunned | 0.10 | 0.04 | +0.06 |
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 0.3 · 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 0.3 · reference 0.08
Review close-range choices
Got thrown: profile 3.1 · reference 2.13
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.
Supporting stats
- Got thrown: profile 3.1 · reference 2.13
- Throw techs: profile 0.3 · reference 0.39
Give each meter spend a purpose
SA1: profile 64.8% · 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
- SA1: profile 64.8% · reference 19.2%
- SA3: profile 4.5% · reference 19.2%
- CA: profile 0% · reference 5%
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 13, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Char 253: 9 wins in 36 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: 9 wins in 36 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 13, 2026 · AI: dots-studio/dots-3-note-preview:free