Latest game
VictoryRanked
MA
ALMAUpdated 2 days ago
Steam
JapanC100%
SteamJapanC100%術師@icepick
Just A Cute Dimensional Walker
MR 1,410#516,363Last 106–4+22Last 207–13-36
Winrate
45%
48W · 59L · 107 stored
Ranked matches
107
selected mode
Wins
48
Ranked
Losses
59
Ranked
Peak MR
1,505
Marisa
Ranked MR · Marisa
107 local · 0 imported · 107 on chart · 142 battles stored
Replay not requested
MAALPlaystyle reference
Habits vs top 30 Marisa
Benchmark refreshed Sep 12, 2026, 4:25 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
MALargest absolute differences first23 habits
| Habit | 術師@icepick | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 40.6% | 7.3% | +33.3% | |
| SA1 | 9.4% | 41.8% | -32.4% | |
| Drive Rush (cancel) | 10.8% | 29.3% | -18.5% | |
| SA2 | 3.1% | 18.1% | -15.0% | |
| SA3 | 46.9% | 32.8% | +14.1% | |
| Drive Arts | 29.6% | 19.0% | +10.6% | |
| Corner pressure | 7.50 | 10.02 | -2.52 | |
| Drive Guard | 15.8% | 14.5% | +1.2% | |
| Drive Impact gauge | 1.1% | 1.8% | -0.7% | |
| Drive Rush (parry) | 9.5% | 8.9% | +0.6% | |
| Got thrown | 2.70 | 2.20 | +0.50 | |
| Perfect Parry | 0.10 | 0.59 | -0.49 | |
| Drive Parry | 1.20 | 1.56 | -0.36 | |
| Drive Reversal | 0.00 | 0.33 | -0.33 | |
| Throw techs | 0.30 | 0.54 | -0.24 | |
| Time cornered | 8.10 | 7.86 | +0.24 | |
| Throw parries | 0.50 | 0.28 | +0.22 | |
| Drive Impact | 0.10 | 0.20 | -0.10 | |
| Stuns landed | 0.00 | 0.09 | -0.09 | |
| Got Punish Countered | 0.20 | 0.11 | +0.09 | |
| Throws | 2.00 | 2.03 | -0.03 | |
| Got stunned | 0.00 | 0.03 | -0.03 | |
| Punish Counters landed | 0.10 | 0.11 | -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.
Marisa · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0 · reference 0.12
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 · reference 0.12
Make Drive Impact a deliberate choice
Drive Impact: profile 0.1 · reference 0.2
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 0.1 · reference 0.2
- Drive Impact gauge: profile 1.3% · reference 1.9%
Trace how you lose or gain space
Corner pressure: profile 5.8 · reference 10.2
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 5.8 · reference 10.2
- Time cornered: profile 9.2 · reference 8.39
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 5, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Ken: 30 wins in 79 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 Ken: 30 wins in 79 games
- vs Yasmine: 25 wins in 51 games
- vs Ryu: 18 wins in 43 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 5, 2026 · AI: dots-studio/dots-3-note-preview:free