Latest game
DefeatRanked
SA
MASAUpdated 1 week ago
Steam
JapanC100%
SteamJapanC100%kakikukekou
Let's Do This
MR 1,512#199,682Last 104–6-16Last 209–11-16
Winrate
52%
52W · 48L · 100 stored
Ranked matches
100
selected mode
Wins
52
Ranked
Losses
48
Ranked
Peak MR
1,543
Sagat
Ranked MR · Sagat
100 local · 0 imported · 100 on chart · 100 battles stored
Replay not requested
SAMAPlaystyle reference
Habits vs top 30 Sagat
Benchmark refreshed Sep 13, 2026, 10:18 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
SALargest absolute differences first23 habits
| Habit | kakikukekou | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 11.6% | 26.4% | -14.8% | |
| SA3 | 48.8% | 39.9% | +8.9% | |
| Drive Arts | 11.0% | 16.0% | -5.0% | |
| CA | 14.0% | 9.1% | +4.9% | |
| Drive Rush (cancel) | 29.6% | 34.0% | -4.4% | |
| Drive Guard | 16.5% | 14.2% | +2.4% | |
| SA1 | 25.6% | 24.6% | +1.0% | |
| Throws | 1.50 | 2.23 | -0.73 | |
| Drive Rush (parry) | 9.1% | 8.4% | +0.7% | |
| Throw techs | 0.90 | 0.46 | +0.44 | |
| Perfect Parry | 0.40 | 0.74 | -0.34 | |
| Time cornered | 9.20 | 8.88 | +0.32 | |
| Got thrown | 2.50 | 2.21 | +0.29 | |
| Drive Impact gauge | 1.6% | 1.3% | +0.2% | |
| Corner pressure | 12.60 | 12.43 | +0.17 | |
| Drive Reversal | 0.10 | 0.24 | -0.14 | |
| Drive Parry | 1.90 | 1.81 | +0.09 | |
| Punish Counters landed | 0.20 | 0.11 | +0.09 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Throw parries | 0.20 | 0.25 | -0.05 | |
| Drive Impact | 0.20 | 0.18 | +0.02 | |
| Stuns landed | 0.10 | 0.08 | +0.02 | |
| Got Punish Countered | 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.
Sagat · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.2 · reference 0.1
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
- Punish Counters landed: profile 0.2 · reference 0.1
- Got Punish Countered: profile 0.1 · reference 0.09
Review defensive decisions
Perfect Parry: profile 0.4 · reference 0.68
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
- Perfect Parry: profile 0.4 · reference 0.68
- Drive Reversal: profile 0.1 · reference 0.23
- Throw techs: profile 0.9 · reference 0.43
Give each meter spend a purpose
SA2: profile 11.6% · reference 25.1%
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
- SA2: profile 11.6% · reference 25.1%
- SA3: profile 48.8% · reference 41.5%
- CA: profile 14% · reference 9.3%
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Probe defense before committing
Drive Reversal: profile 0.1 · reference 0.23
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 0.23
- Got thrown: profile 2.5 · reference 2.15
Adapt to the visible gauge
SA2: profile 11.6% · reference 25.1%
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
- SA2: profile 11.6% · reference 25.1%
- SA3: profile 48.8% · reference 41.5%
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free