Latest game
VictoryRanked
AK
CAAKUpdated 5 days ago
Steam
OtherC100%
SteamOtherC100%meatpotatomint
Let's Do This
LP 24,099Last 106–4Last 209–11
Winrate
35%
13W · 24L · 37 stored
Ranked matches
37
selected mode
Wins
13
Ranked
Losses
24
Ranked
Peak LP
24,454
Akuma
Ranked LP · Akuma
League points over time for this character
Replay not requested
AKCAPlaystyle reference
Habits vs top 30 Akuma
Benchmark refreshed Sep 13, 2026, 7:27 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
AKLargest absolute differences first23 habits
| Habit | meatpotatomint | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 36.8% | 9.9% | +26.9% | |
| SA2 | 0.0% | 22.8% | -22.8% | |
| SA1 | 10.5% | 28.6% | -18.1% | |
| SA3 | 52.6% | 38.7% | +14.0% | |
| Drive Guard | 8.5% | 13.1% | -4.6% | |
| Corner pressure | 7.10 | 11.47 | -4.37 | |
| Drive Rush (parry) | 3.4% | 7.4% | -4.0% | |
| Drive Rush (cancel) | 36.1% | 32.7% | +3.4% | |
| Throws | 1.30 | 2.74 | -1.44 | |
| Drive Arts | 20.6% | 19.2% | +1.4% | |
| Time cornered | 7.30 | 8.55 | -1.25 | |
| Perfect Parry | 0.30 | 0.77 | -0.47 | |
| Drive Parry | 1.20 | 1.65 | -0.45 | |
| Got thrown | 2.40 | 2.09 | +0.31 | |
| Drive Impact gauge | 1.3% | 1.5% | -0.2% | |
| Drive Reversal | 0.00 | 0.20 | -0.20 | |
| Got Punish Countered | 0.20 | 0.09 | +0.11 | |
| Throw parries | 0.20 | 0.27 | -0.07 | |
| Throw techs | 0.50 | 0.45 | +0.05 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Stuns landed | 0.00 | 0.03 | -0.03 | |
| Punish Counters landed | 0.10 | 0.13 | -0.03 | |
| Drive Impact | 0.20 | 0.20 | -0.00 |
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.
Akuma · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.08
Review close-range choices
Throws: profile 1.3 · reference 2.66
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 1.3 · reference 2.66
- Throw techs: profile 0.5 · reference 0.38
- Got thrown: profile 2.4 · reference 2.04
Review defensive decisions
Drive Parry: profile 1.2 · reference 1.8
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 1.2 · reference 1.8
- Perfect Parry: profile 0.3 · reference 0.85
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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free
How to beat this player
Separate a tendency from a one-off event
Recent stored ranked sample: 13 wins in 37 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: 13 wins in 37 games
Use matchup records as scouting leads
vs Char 253: 71 wins in 176 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: 71 wins in 176 games
- vs Ryu: 6 wins in 16 games
- vs Akuma: 4 wins in 15 games
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.2 · reference 0.08
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 0.2 · reference 0.08
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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free