Latest game
DefeatRanked
MA
JA
JPUpdated 1 week ago
CrossPlatform
JapanClub · AMANTOC100%
CrossPlatformJapanClub · AMANTOC100%kinocy
Gentleman of the Abyss
MR 1,551#129,068Last 104–6-14Last 208–12-28
Winrate
49%
46W · 47L · 93 stored
Ranked matches
93
selected mode
Wins
46
Ranked
Losses
47
Ranked
Peak MR
1,591
JP
Ranked MR · JP
93 local · 0 imported · 93 on chart · 93 battles stored
Replay not requested
MAJAPlaystyle reference
Habits vs top 30 JP
Benchmark refreshed Sep 3, 2026, 4:26 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JPLargest absolute differences first23 habits
| Habit | kinocy | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 80.0% | 56.6% | +23.4% | |
| SA1 | 7.1% | 19.2% | -12.2% | |
| SA3 | 7.1% | 19.2% | -12.1% | |
| Drive Arts | 27.6% | 32.1% | -4.5% | |
| Drive Impact gauge | 4.2% | 2.1% | +2.1% | |
| Drive Rush (cancel) | 21.2% | 23.1% | -1.9% | |
| Time cornered | 10.10 | 12.04 | -1.94 | |
| Drive Rush (parry) | 8.1% | 6.5% | +1.6% | |
| CA | 5.9% | 5.0% | +0.9% | |
| Drive Guard | 11.9% | 12.8% | -0.9% | |
| Drive Parry | 1.20 | 2.07 | -0.87 | |
| Perfect Parry | 0.10 | 0.79 | -0.69 | |
| Corner pressure | 10.10 | 10.77 | -0.67 | |
| Throws | 1.50 | 1.97 | -0.47 | |
| Throw techs | 0.10 | 0.39 | -0.29 | |
| Drive Impact | 0.60 | 0.34 | +0.26 | |
| Got thrown | 2.30 | 2.13 | +0.17 | |
| Drive Reversal | 0.00 | 0.13 | -0.13 | |
| Got Punish Countered | 0.20 | 0.08 | +0.12 | |
| Throw parries | 0.30 | 0.41 | -0.11 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Stuns landed | 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.
JP · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.2 · reference 0.13
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 0.13
- Got Punish Countered: profile 0.2 · reference 0.08
Make Drive Impact a deliberate choice
Drive Impact: profile 0.6 · reference 0.34
Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.
Try thisRecord Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.
Supporting stats
- Drive Impact: profile 0.6 · reference 0.34
- Drive Impact gauge: profile 4.2% · reference 2.1%
Review close-range choices
Throws: profile 1.5 · reference 1.97
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 1.5 · reference 1.97
- Throw techs: profile 0.1 · reference 0.39
- Got thrown: profile 2.3 · reference 2.13
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 6, 2026 · AI: nex-agi/nex-n2.5-pro:free
How to beat this player
Probe defense before committing
Throw techs: profile 0.1 · reference 0.39
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
- Throw techs: profile 0.1 · reference 0.39
- Got thrown: profile 2.3 · reference 2.13
Test the Drive Impact tendency
Drive Impact: profile 0.6 · reference 0.34
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 0.6 · reference 0.34
- Drive Impact gauge: profile 4.2% · reference 2.1%
Use matchup records as scouting leads
vs Luke: 76 wins in 150 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: 76 wins in 150 games
- vs Ken: 30 wins in 56 games
- vs Alex: 27 wins in 62 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 6, 2026 · AI: nex-agi/nex-n2.5-pro:free