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DERAUpdated 5 days ago
Steam
JapanClub · vegeisgodC100%
SteamJapanClub · vegeisgodC100%Kajikeeey
Triceratops Fist
MR 1,689#33,986Last 103–7-33Last 208–12-29
Winrate
49%
32W · 33L · 65 stored
Ranked matches
65
selected mode
Wins
32
Ranked
Losses
33
Ranked
Peak MR
1,729
Rashid
Ranked MR · Rashid
65 local · 0 imported · 65 on chart · 100 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 | Kajikeeey | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 76.5% | 56.0% | +20.4% | |
| SA1 | 8.8% | 22.7% | -13.9% | |
| SA3 | 12.7% | 16.6% | -3.9% | |
| Drive Rush (cancel) | 35.6% | 32.1% | +3.5% | |
| Drive Arts | 16.7% | 20.1% | -3.4% | |
| CA | 2.0% | 4.7% | -2.7% | |
| Corner pressure | 14.10 | 15.02 | -0.92 | |
| Drive Impact gauge | 1.1% | 2.0% | -0.9% | |
| Drive Guard | 12.1% | 13.0% | -0.9% | |
| Time cornered | 10.20 | 9.52 | +0.68 | |
| Got thrown | 2.60 | 2.05 | +0.55 | |
| Drive Parry | 1.40 | 1.77 | -0.37 | |
| Drive Rush (parry) | 7.2% | 7.4% | -0.2% | |
| Drive Reversal | 0.10 | 0.31 | -0.21 | |
| Perfect Parry | 0.50 | 0.61 | -0.11 | |
| Got Punish Countered | 0.00 | 0.11 | -0.11 | |
| Throws | 2.70 | 2.64 | +0.06 | |
| Drive Impact | 0.20 | 0.25 | -0.05 | |
| Throw techs | 0.40 | 0.37 | +0.03 | |
| 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 | |
| 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
Review close-range choices
Got thrown: profile 2.6 · reference 2.12
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 2.6 · reference 2.12
- Throw techs: profile 0.4 · reference 0.38
- Throws: profile 2.7 · reference 2.74
Review defensive decisions
Drive Reversal: profile 0.1 · reference 0.31
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
- Drive Reversal: profile 0.1 · reference 0.31
- Drive Parry: profile 1.4 · reference 1.73
- Perfect Parry: profile 0.5 · reference 0.63
Compare decisions across wins and losses
Recent stored ranked sample: 32 wins in 65 games
Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.
Try thisWrite down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.
Supporting stats
- Recent stored ranked sample: 32 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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free
How to beat this player
Test the close-range pattern
Got thrown: profile 2.6 · reference 2.12
Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.
Try thisIf the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.
Supporting stats
- Got thrown: profile 2.6 · reference 2.12
- Throw techs: profile 0.4 · reference 0.38
- Throws: profile 2.7 · reference 2.74
Look for a repeatable punish opportunity
Got Punish Countered: profile 0 · reference 0.11
Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.
Try thisTest one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.
Supporting stats
- Got Punish Countered: profile 0 · reference 0.11
- Punish Counters landed: profile 0.1 · reference 0.12
Use matchup records as scouting leads
vs Yasmine: 32 wins in 63 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 Yasmine: 32 wins in 63 games
- vs Alex: 16 wins in 29 games
- vs Jamie: 27 wins in 49 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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free