Latest game
VictoryRanked
RA
BLRAUpdated 5 days ago
Steam
JapanC100%
SteamJapanC100%ika3
Let's Do This
MR 1,780#12,996Last 106–4+15Last 2012–8+26
Winrate
53%
25W · 22L · 47 stored
Ranked matches
47
selected mode
Wins
25
Ranked
Losses
22
Ranked
Peak MR
1,780
Rashid
Ranked MR · Rashid
47 local · 0 imported · 47 on chart · 47 battles stored
Replay not requested
RABLPlaystyle reference
Habits vs top 30 Rashid
Benchmark refreshed Sep 12, 2026, 7:15 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
RALargest absolute differences first23 habits
| Habit | ika3 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Arts | 13.0% | 20.1% | -7.1% | |
| Drive Rush (cancel) | 38.2% | 32.1% | +6.0% | |
| SA3 | 21.2% | 16.6% | +4.6% | |
| SA1 | 19.2% | 22.7% | -3.5% | |
| CA | 3.0% | 4.7% | -1.6% | |
| Drive Impact gauge | 0.9% | 2.0% | -1.0% | |
| Time cornered | 8.50 | 9.52 | -1.02 | |
| Drive Guard | 13.8% | 13.0% | +0.8% | |
| Drive Rush (parry) | 8.1% | 7.4% | +0.6% | |
| SA2 | 56.6% | 56.0% | +0.5% | |
| Corner pressure | 14.60 | 15.02 | -0.42 | |
| Drive Parry | 1.50 | 1.77 | -0.27 | |
| Throw techs | 0.10 | 0.37 | -0.27 | |
| Got thrown | 2.30 | 2.05 | +0.25 | |
| Drive Impact | 0.10 | 0.25 | -0.15 | |
| Drive Reversal | 0.40 | 0.31 | +0.09 | |
| Perfect Parry | 0.70 | 0.61 | +0.09 | |
| Throws | 2.70 | 2.64 | +0.06 | |
| Punish Counters landed | 0.10 | 0.13 | -0.03 | |
| Throw parries | 0.30 | 0.28 | +0.02 | |
| Got stunned | 0.10 | 0.08 | +0.02 | |
| Got Punish Countered | 0.10 | 0.11 | -0.01 | |
| Stuns landed | 0.10 | 0.10 | -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.
Rashid · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.1 · reference 0.24
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 0.24
- Drive Impact gauge: profile 0.7% · reference 2.1%
Review close-range choices
Got thrown: profile 2.8 · reference 2.05
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
- Got thrown: profile 2.8 · reference 2.05
- Throw techs: profile 0.3 · reference 0.37
Trace how you lose or gain space
Time cornered: profile 10.5 · reference 8.96
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
- Time cornered: profile 10.5 · reference 8.96
- Corner pressure: profile 14.4 · reference 14.49
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 4, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Luke: 49 wins in 88 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: 49 wins in 88 games
- vs Yasmine: 32 wins in 70 games
- vs Ryu: 32 wins in 61 games
Separate a tendency from a one-off event
Recent stored ranked sample: 14 wins in 30 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: 14 wins in 30 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 4, 2026 · AI: dots-studio/dots-3-note-preview:free