Latest game
VictoryRanked
MA
JU
MAUpdated 1 week ago
CrossPlatform
OtherC100%
CrossPlatformOtherC100%kysl
Let's Do This
MR 1,504#225,302Last 106–4+13Last 2010–10-4
Winrate
43%
20W · 27L · 47 stored
Ranked matches
47
selected mode
Wins
20
Ranked
Losses
27
Ranked
Peak MR
1,504
Mai
Ranked MR · Mai
46 local · 0 imported · 46 on chart · 47 battles stored
Replay not requested
MAJUPlaystyle reference
Habits vs top 30 Mai
Benchmark refreshed Sep 13, 2026, 7:18 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
MALargest absolute differences first23 habits
| Habit | kysl | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 40.4% | 18.6% | +21.8% | |
| SA2 | 6.7% | 20.2% | -13.4% | |
| Drive Rush (cancel) | 38.4% | 29.4% | +9.1% | |
| SA1 | 47.2% | 54.6% | -7.4% | |
| Drive Guard | 6.2% | 13.4% | -7.3% | |
| Drive Rush (parry) | 3.2% | 7.5% | -4.3% | |
| Drive Impact gauge | 3.9% | 1.3% | +2.6% | |
| Drive Arts | 25.2% | 22.7% | +2.4% | |
| Corner pressure | 11.60 | 12.99 | -1.39 | |
| Time cornered | 8.00 | 9.32 | -1.32 | |
| Drive Parry | 0.80 | 1.87 | -1.07 | |
| CA | 5.6% | 6.6% | -1.0% | |
| Perfect Parry | 0.10 | 0.70 | -0.60 | |
| Throws | 3.00 | 2.49 | +0.51 | |
| Throw techs | 0.10 | 0.46 | -0.36 | |
| Got Punish Countered | 0.20 | 0.07 | +0.13 | |
| Punish Counters landed | 0.20 | 0.10 | +0.10 | |
| Drive Reversal | 0.10 | 0.19 | -0.09 | |
| Throw parries | 0.20 | 0.26 | -0.06 | |
| Stuns landed | 0.00 | 0.06 | -0.06 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Got thrown | 2.20 | 2.23 | -0.03 | |
| Drive Impact | 0.20 | 0.19 | +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.
Mai · 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
- Punish Counters landed: profile 0.2 · reference 0.11
Give each meter spend a purpose
SA2: profile 5.2% · reference 20.8%
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 5.2% · reference 20.8%
- SA3: profile 37.1% · reference 20.8%
Review close-range choices
Throw techs: profile 0.1 · reference 0.47
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
- Throw techs: profile 0.1 · reference 0.47
- Throws: profile 3.2 · reference 2.57
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 4, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Test the Drive Impact tendency
Drive Impact: profile 0.3 · reference 0.16
Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.
Try thisRevisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.
Supporting stats
- Drive Impact: profile 0.3 · reference 0.16
- Drive Impact gauge: profile 4% · reference 1.2%
Probe defense before committing
Perfect Parry: profile 0.1 · reference 0.67
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
- Perfect Parry: profile 0.1 · reference 0.67
- Drive Parry: profile 0.6 · reference 1.69
Use matchup records as scouting leads
vs Luke: 11 wins in 30 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 Luke: 11 wins in 30 games
- vs M. Bison: 19 wins in 27 games
- vs Ingrid: 19 wins in 27 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 4, 2026 · AI: dots-studio/dots-3-note-preview:free