Latest game
VictoryRanked
MA
TEMAUpdated 8 hours ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%たくち0226
Savage Swan
MR 1,466#417,844Last 104–6-19Last 209–10-9
Winrate
47%
9W · 10L · 19 stored
Ranked matches
19
selected mode
Wins
9
Ranked
Losses
10
Ranked
Peak MR
1,493
Manon
Ranked MR · Manon
19 local · 0 imported · 19 on chart · 19 battles stored
Replay not requested
MATEPlaystyle 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 | たくち0226 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 62.7% | 43.0% | +19.7% | |
| Drive Arts | 4.4% | 11.3% | -7.0% | |
| CA | 3.4% | 9.7% | -6.3% | |
| Drive Guard | 5.1% | 11.3% | -6.2% | |
| Corner pressure | 2.70 | 8.16 | -5.46 | |
| SA2 | 37.3% | 32.1% | +5.2% | |
| SA3 | 37.3% | 32.9% | +4.4% | |
| Drive Rush (parry) | 1.2% | 5.0% | -3.8% | |
| SA1 | 22.0% | 25.4% | -3.4% | |
| Perfect Parry | 0.10 | 0.64 | -0.54 | |
| Drive Parry | 1.30 | 1.80 | -0.50 | |
| Time cornered | 9.20 | 8.72 | +0.48 | |
| Throw techs | 0.20 | 0.56 | -0.36 | |
| Got thrown | 2.10 | 2.28 | -0.18 | |
| Drive Impact gauge | 2.0% | 1.8% | +0.2% | |
| Throws | 2.40 | 2.53 | -0.13 | |
| Drive Reversal | 0.20 | 0.30 | -0.10 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Punish Counters landed | 0.20 | 0.14 | +0.06 | |
| 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 | |
| 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
Review defensive decisions
Perfect Parry: profile 0.1 · reference 0.64
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 0.1 · reference 0.64
- Drive Parry: profile 1.3 · reference 1.8
- Throw techs: profile 0.2 · reference 0.56
Trace how you lose or gain space
Corner pressure: profile 2.7 · reference 8.16
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 2.7 · reference 8.16
- Time cornered: profile 9.2 · reference 8.72
Find the cause of punish events
Punish Counters landed: profile 0.2 · reference 0.14
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 0.14
- Got Punish Countered: profile 0.1 · reference 0.11
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 14, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Terry: 21 wins in 35 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 Terry: 21 wins in 35 games
- vs Ryu: 32 wins in 52 games
- vs Akuma: 24 wins in 50 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 14, 2026 · AI: dots-studio/dots-3-note-preview:free