Latest game
DefeatRanked
LI
ALLIUpdated 1 day ago
Steam
JapanC100%
SteamJapanC100%Kenny.T
GG
MR 1,540#155,290Last 104–6-8Last 2011–9+23
Winrate
51%
69W · 66L · 135 stored
Ranked matches
135
selected mode
Wins
69
Ranked
Losses
66
Ranked
Peak MR
1,561
Lily
Ranked MR · Lily
135 local · 0 imported · 135 on chart · 135 battles stored
Replay not requested
LIALPlaystyle reference
Habits vs top 30 Lily
Benchmark refreshed Sep 12, 2026, 1:25 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
LILargest absolute differences first23 habits
| Habit | Kenny.T | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 9.4% | 31.1% | -21.7% | |
| Drive Arts | 37.6% | 21.7% | +16.0% | |
| CA | 17.4% | 8.4% | +9.0% | |
| SA2 | 13.0% | 22.0% | -9.0% | |
| SA1 | 37.0% | 43.8% | -6.9% | |
| SA3 | 32.6% | 25.7% | +6.9% | |
| Corner pressure | 4.80 | 9.83 | -5.03 | |
| Drive Rush (parry) | 1.6% | 5.7% | -4.1% | |
| Drive Guard | 8.7% | 12.0% | -3.2% | |
| Drive Impact gauge | 5.2% | 2.1% | +3.1% | |
| Time cornered | 12.00 | 10.41 | +1.59 | |
| Throw techs | 1.60 | 0.48 | +1.12 | |
| Got thrown | 3.20 | 2.32 | +0.88 | |
| Throws | 1.80 | 2.61 | -0.81 | |
| Drive Parry | 2.60 | 1.96 | +0.64 | |
| Drive Impact | 0.60 | 0.25 | +0.35 | |
| Got Punish Countered | 0.40 | 0.12 | +0.28 | |
| Punish Counters landed | 0.40 | 0.16 | +0.24 | |
| Perfect Parry | 0.40 | 0.60 | -0.20 | |
| Throw parries | 0.10 | 0.26 | -0.16 | |
| Stuns landed | 0.00 | 0.08 | -0.08 | |
| Drive Reversal | 0.40 | 0.33 | +0.07 | |
| Got stunned | 0.00 | 0.04 | -0.04 |
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.
Lily · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.6 · reference 0.1
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
- Got Punish Countered: profile 0.6 · reference 0.1
- Punish Counters landed: profile 0.4 · reference 0.17
Give each meter spend a purpose
Drive Arts: profile 37.2% · reference 23.7%
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
- Drive Arts: profile 37.2% · reference 23.7%
- SA3: profile 27.9% · reference 24.4%
Trace how you lose or gain space
Corner pressure: profile 6.5 · reference 9.47
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 6.5 · reference 9.47
- Time cornered: profile 10.8 · reference 9.95
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 Yasmine: 61 wins in 113 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: 61 wins in 113 games
- vs Luke: 60 wins in 111 games
- vs Ryu: 63 wins in 104 games
Separate a tendency from a one-off event
Recent stored ranked sample: 26 wins in 40 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: 26 wins in 40 games
Test the close-range pattern
Throw techs: profile 1.4 · reference 0.57
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
- Throw techs: profile 1.4 · reference 0.57
- Got thrown: profile 3 · reference 2.32
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