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MAakii

Ranked LP · Mai
League points over time for this character
Playstyle reference
Habits vs top — Mai
Loading Mai…
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
Punish Counters landed: profile 0.7 · reference 0.11
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 0.7 · reference 0.11
- Got Punish Countered: profile 0.5 · reference 0.07
Review close-range choices
Throws: profile 4 · reference 2.44
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
- Throws: profile 4 · reference 2.44
- Throw techs: profile 0.2 · reference 0.47
- Got thrown: profile 1.8 · reference 2.23
Review defensive decisions
Drive Parry: profile 1.3 · reference 1.97
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 1.3 · reference 1.97
- Perfect Parry: profile 0.1 · reference 0.73
- Drive Reversal: profile 0 · reference 0.18
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 8, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Test the Drive Impact tendency
Drive Impact: profile 1 · reference 0.19
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 1 · reference 0.19
- Drive Impact gauge: profile 14.1% · reference 1.4%
Use matchup records as scouting leads
vs Ryu: 19 wins in 44 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 Ryu: 19 wins in 44 games
- vs Luke: 9 wins in 21 games
- vs Zangief: 13 wins in 27 games
Separate a tendency from a one-off event
Recent stored ranked sample: 53 wins in 100 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: 53 wins in 100 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 8, 2026 · AI: dots-studio/dots-3-note-preview:free
Public data
Public statistics and datasets
Results from 138 of 138 stored matches. Explore the datasets for the full saved history.
Results in stored match sample
1 row- Wins
- 75games
- Losses
- 63games
- Draws
- 0games
- Games
- 138games
- Win rate (draw = half win)
- 54.35%
Field definitions 5 fields
- Wins
- Wins · games.
wins - Losses
- Losses · games.
losses - Draws
- Draws · games.
draws - Games
- Games · games.
total - Win rate (draw = half win)
- Win rate (draw = half win) · percent.
winRateDisplayed to two decimal places; JSON retains full precision.
Current saved character ratings
10 rowsScroll if needed to compare columns. Expand Details for the remaining fields.
| Character | MRMR points | LPLP points | Details |
|---|---|---|---|
| Ryu | 0 | 15,684 | Details for Current saved character ratings, row 1
|
| Zangief | 0 | 15,209 | Details for Current saved character ratings, row 2
|
| JP | 0 | -1 | Details for Current saved character ratings, row 3
|
| Akuma | 0 | -1 | Details for Current saved character ratings, row 4
|
| Sagat | 0 | -1 | Details for Current saved character ratings, row 5
|
| Mai | 0 | 19,334 | Details for Current saved character ratings, row 6
|
| Elena | 0 | -1 | Details for Current saved character ratings, row 7
|
| Alex | 0 | -1 | Details for Current saved character ratings, row 8
|
| Ingrid | 0 | -1 | Details for Current saved character ratings, row 9
|
| Yasmine | 0 | 21,832 | Details for Current saved character ratings, row 10
|
Field definitions 4 fields
- Character ID
- Character ID · identifier.
characterId - Character
- Character · text.
character - MR
- Master Rating · MR points.
mr - LP
- League Points · LP points.
lp
Last saved update: .
Latest saved profile; local results cover at most the newest 10,000 stored matches across all modes.

