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VictoryRanked
RA
DERAUpdated 7 days ago
Steam
JapanClub · MienfooDojoC100%
SteamJapanClub · MienfooDojoC100%VELLL
Let's Do This
MR 1,649#43,926Last 105–5+1Last 207–13-51
Winrate
39%
12W · 19L · 31 stored
Ranked matches
31
selected mode
Wins
12
Ranked
Losses
19
Ranked
Peak MR
1,715
Rashid
Ranked MR · Rashid
31 local · 0 imported · 31 on chart · 31 battles stored
Replay not requested
RADEPlaystyle 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 | VELLL | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Arts | 12.4% | 20.1% | -7.7% | |
| SA2 | 50.0% | 56.0% | -6.0% | |
| CA | 10.0% | 4.7% | +5.3% | |
| Drive Rush (cancel) | 37.5% | 32.1% | +5.3% | |
| SA3 | 21.1% | 16.6% | +4.5% | |
| SA1 | 18.9% | 22.7% | -3.8% | |
| Corner pressure | 12.90 | 15.02 | -2.12 | |
| Time cornered | 10.70 | 9.52 | +1.18 | |
| Drive Guard | 14.1% | 13.0% | +1.1% | |
| Drive Impact gauge | 3.1% | 2.0% | +1.1% | |
| Drive Rush (parry) | 8.5% | 7.4% | +1.0% | |
| Throws | 2.10 | 2.64 | -0.54 | |
| Got thrown | 2.50 | 2.05 | +0.45 | |
| Perfect Parry | 0.40 | 0.61 | -0.21 | |
| Throw techs | 0.50 | 0.37 | +0.13 | |
| Drive Parry | 1.90 | 1.77 | +0.13 | |
| Drive Reversal | 0.20 | 0.31 | -0.11 | |
| Stuns landed | 0.20 | 0.10 | +0.10 | |
| Punish Counters landed | 0.20 | 0.13 | +0.07 | |
| Drive Impact | 0.30 | 0.25 | +0.05 | |
| 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 |
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
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 0.1 · reference 0.11
Trace how you lose or gain space
Corner pressure: profile 12.9 · reference 14.49
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 12.9 · reference 14.49
- Time cornered: profile 10.7 · reference 8.96
Review close-range choices
Throws: profile 2.1 · reference 2.58
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 2.1 · reference 2.58
- Got thrown: profile 2.5 · reference 2.05
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 Char 253: 628 wins in 1,150 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 Char 253: 628 wins in 1,150 games
- vs Akuma: 154 wins in 199 games
- vs Luke: 83 wins in 186 games
Separate a tendency from a one-off event
Recent stored ranked sample: 12 wins in 31 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: 12 wins in 31 games
Test the Drive Impact tendency
Drive Impact: profile 0.3 · reference 0.24
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 0.3 · reference 0.24
- Drive Impact gauge: profile 3.1% · reference 2.1%
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