Latest game
DefeatRanked
KE
DEKEUpdated 1 week ago
Steam
JapanC100%
SteamJapanC100%omame3218
Let's Do This
MR 1,732#17,481Last 106–4+18Last 2010–7+24
Winrate
59%
10W · 7L · 17 stored
Ranked matches
17
selected mode
Wins
10
Ranked
Losses
7
Ranked
Peak MR
1,732
Ken
Ranked MR · Ken
17 local · 0 imported · 17 on chart · 17 battles stored
Replay not requested
KEDEPlaystyle reference
Habits vs top 30 Ken
Benchmark refreshed Sep 11, 2026, 7:22 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
KELargest absolute differences first23 habits
| Habit | omame3218 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 62.7% | 35.8% | +26.9% | |
| SA2 | 6.8% | 25.9% | -19.1% | |
| SA1 | 16.9% | 27.3% | -10.3% | |
| Time cornered | 16.60 | 8.95 | +7.65 | |
| Drive Arts | 8.2% | 14.9% | -6.7% | |
| Corner pressure | 8.10 | 13.12 | -5.02 | |
| CA | 13.6% | 11.0% | +2.5% | |
| Drive Rush (cancel) | 37.0% | 38.2% | -1.2% | |
| Throws | 1.40 | 2.57 | -1.17 | |
| Drive Guard | 13.8% | 12.7% | +1.1% | |
| Drive Rush (parry) | 5.8% | 6.8% | -1.0% | |
| Got thrown | 3.10 | 2.26 | +0.84 | |
| Throw techs | 1.00 | 0.44 | +0.56 | |
| Drive Impact gauge | 1.1% | 1.4% | -0.3% | |
| Drive Parry | 2.20 | 1.89 | +0.31 | |
| Drive Reversal | 0.30 | 0.23 | +0.07 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.10 | 0.05 | +0.05 | |
| Perfect Parry | 0.80 | 0.84 | -0.04 | |
| Got Punish Countered | 0.10 | 0.08 | +0.02 | |
| Throw parries | 0.20 | 0.21 | -0.01 | |
| Drive Impact | 0.20 | 0.19 | +0.01 | |
| Punish Counters 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.
Ken · Latest 100
What to improve
Review close-range choices
Throws: profile 1.4 · reference 2.59
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 1.4 · reference 2.59
- Throw techs: profile 1 · reference 0.46
Trace how you lose or gain space
Time cornered: profile 16.6 · reference 9.04
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 16.6 · reference 9.04
- Corner pressure: profile 8.1 · reference 12.08
Give each meter spend a purpose
SA3: profile 62.7% · reference 37.5%
Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.
Try thisPractice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.
Supporting stats
- SA3: profile 62.7% · reference 37.5%
- SA2: profile 6.8% · reference 25%
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 Jamie: 32 wins in 65 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 Jamie: 32 wins in 65 games
- vs Sagat: 8 wins in 41 games
- vs Yasmine: 25 wins in 48 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 7, 2026 · AI: dots-studio/dots-3-note-preview:free