Latest game
VictoryRanked
MA
BLMAUpdated 6 days ago
CrossPlatform
JapanClub · AROUND30C100%
CrossPlatformJapanClub · AROUND30C100%コマ投げチンパンジー
#KashiharaCity × Street Fighter
MR 1,800#11,339Last 1010–0+77Last 2013–3+70
Winrate
81%
13W · 3L · 16 stored
Ranked matches
16
selected mode
Wins
13
Ranked
Losses
3
Ranked
Peak MR
1,800
Manon
Ranked MR · Manon
16 local · 0 imported · 16 on chart · 97 battles stored
Replay not requested
MABLPlaystyle reference
Habits vs top 30 Manon
Benchmark refreshed Sep 7, 2026, 7:24 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
MALargest absolute differences first23 habits
| Habit | コマ投げチンパンジー | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 2.4% | 9.7% | -7.3% | |
| SA1 | 32.1% | 25.4% | +6.7% | |
| Drive Rush (cancel) | 48.5% | 43.0% | +5.5% | |
| Corner pressure | 4.00 | 8.16 | -4.16 | |
| Drive Rush (parry) | 2.1% | 5.0% | -2.9% | |
| SA3 | 35.7% | 32.9% | +2.8% | |
| Drive Arts | 8.6% | 11.3% | -2.7% | |
| SA2 | 29.8% | 32.1% | -2.3% | |
| Drive Guard | 9.6% | 11.3% | -1.7% | |
| Time cornered | 9.90 | 8.72 | +1.18 | |
| Drive Impact gauge | 2.6% | 1.8% | +0.8% | |
| Drive Parry | 2.30 | 1.80 | +0.50 | |
| Throw techs | 0.40 | 0.56 | -0.16 | |
| Throws | 2.40 | 2.53 | -0.13 | |
| Got thrown | 2.40 | 2.28 | +0.12 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Perfect Parry | 0.70 | 0.64 | +0.06 | |
| Punish Counters landed | 0.10 | 0.14 | -0.04 | |
| Got stunned | 0.10 | 0.06 | +0.04 | |
| Drive Impact | 0.20 | 0.22 | -0.02 | |
| Got Punish Countered | 0.10 | 0.11 | -0.01 | |
| Drive Reversal | 0.30 | 0.30 | +0.00 | |
| Throw parries | 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.
Manon · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.3 · reference 0.21
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 0.3 · reference 0.21
- Drive Impact gauge: profile 3.6% · reference 1.7%
Trace how you lose or gain space
Corner pressure: profile 3.8 · reference 8
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
- Corner pressure: profile 3.8 · reference 8
- Time cornered: profile 9.7 · reference 8.88
Review defensive decisions
Perfect Parry: profile 0.4 · reference 0.63
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
- Perfect Parry: profile 0.4 · reference 0.63
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Rashid: 12 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 Rashid: 12 wins in 30 games
- vs Dee Jay: 17 wins in 65 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free