Latest game
VictoryRanked
M.
LUM.Updated 1 day ago
Steam
JapanClub · karakaraCLUBC100%
SteamJapanClub · karakaraCLUBC100%ヌメタコス
Angel Devil Kingdom
MR 1,642#51,409Last 107–3+33Last 2012–8+33
Winrate
50%
16W · 16L · 32 stored
Ranked matches
32
selected mode
Wins
16
Ranked
Losses
16
Ranked
Peak MR
1,642
M. Bison
Ranked MR · M. Bison
32 local · 84 imported · 99 on chart · 32 battles stored
Available
M.LUPlaystyle reference
Habits vs top 30 M. Bison
Benchmark refreshed Sep 13, 2026, 1:26 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
M.Largest absolute differences first23 habits
| Habit | ヌメタコス | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 14.4% | 21.0% | -6.5% | |
| CA | 15.6% | 10.2% | +5.4% | |
| SA1 | 37.8% | 33.7% | +4.1% | |
| Drive Rush (parry) | 10.3% | 7.2% | +3.1% | |
| SA3 | 32.2% | 35.2% | -3.0% | |
| Drive Arts | 16.3% | 18.7% | -2.4% | |
| Time cornered | 11.70 | 9.85 | +1.85 | |
| Corner pressure | 10.10 | 11.91 | -1.81 | |
| Drive Rush (cancel) | 28.7% | 30.0% | -1.3% | |
| Drive Parry | 1.00 | 1.75 | -0.75 | |
| Perfect Parry | 0.10 | 0.74 | -0.64 | |
| Throw techs | 0.20 | 0.57 | -0.37 | |
| Throws | 2.10 | 2.42 | -0.32 | |
| Drive Guard | 13.7% | 13.4% | +0.3% | |
| Drive Reversal | 0.60 | 0.33 | +0.27 | |
| Got thrown | 2.80 | 2.59 | +0.21 | |
| Got stunned | 0.20 | 0.04 | +0.16 | |
| Punish Counters landed | 0.20 | 0.11 | +0.09 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Throw parries | 0.20 | 0.26 | -0.06 | |
| Got Punish Countered | 0.10 | 0.09 | +0.01 | |
| Drive Impact | 0.20 | 0.19 | +0.01 | |
| Drive Impact gauge | 1.5% | 1.5% | +0.0% |
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.
M. Bison · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.1 · reference 0.07
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 0.1 · reference 0.07
- Punish Counters landed: profile 0.2 · reference 0.1
Review defensive decisions
Throw techs: profile 0.2 · reference 0.52
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
- Throw techs: profile 0.2 · reference 0.52
- Got thrown: profile 2.8 · reference 2.34
Trace how you lose or gain space
Time cornered: profile 11.7 · reference 9.13
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 11.7 · reference 9.13
- Corner pressure: profile 10.1 · reference 12.11
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: nex-agi/nex-n2.5-pro:free
How to beat this player
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.1 · reference 0.07
Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.
Try thisTest one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.
Supporting stats
- Got Punish Countered: profile 0.1 · reference 0.07
- Punish Counters landed: profile 0.2 · reference 0.1
Test the close-range pattern
Got thrown: profile 2.8 · reference 2.34
Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.
Try thisIf the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.
Supporting stats
- Got thrown: profile 2.8 · reference 2.34
- Throw techs: profile 0.2 · reference 0.52
Separate a tendency from a one-off event
Recent stored ranked sample: 16 wins in 32 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: 16 wins in 32 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: nex-agi/nex-n2.5-pro:free