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VictoryRanked
Adamas · Terry
Opponent · Kenお嫁はん家事いつもありがとう
Updated 1 week agoSteamJapanClub · HemorrhoiderC100%
Adamas
Let's Do This
None
R28
Last 107–3Last 2015–5
Winrate
61%
31W · 20L · 51 stored
Ranked matches
51
selected mode
Wins
31
Ranked
Losses
20
Ranked
Peak LP
16,255
Terry
Ranked LP · Terry
League points over time for this character
Replay not requested
Playstyle reference
Habits vs top 30 Terry
Benchmark refreshed Sep 9, 2026, 7:23 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
Largest absolute differences first23 habits
| Habit | Adamas | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 0.0% | 33.6% | -33.6% | |
| SA2 | 53.3% | 24.5% | +28.8% | |
| CA | 20.0% | 9.0% | +11.0% | |
| Drive Arts | 5.6% | 16.3% | -10.7% | |
| SA3 | 26.7% | 32.8% | -6.2% | |
| Drive Rush (parry) | 6.0% | 8.2% | -2.2% | |
| Drive Guard | 12.4% | 14.3% | -1.9% | |
| Got thrown | 4.00 | 2.21 | +1.79 | |
| Corner pressure | 10.70 | 12.45 | -1.75 | |
| Time cornered | 8.10 | 9.65 | -1.55 | |
| Drive Impact gauge | 3.1% | 1.6% | +1.4% | |
| Drive Rush (cancel) | 33.9% | 33.4% | +0.5% | |
| Perfect Parry | 0.40 | 0.80 | -0.40 | |
| Drive Parry | 1.50 | 1.89 | -0.39 | |
| Got Punish Countered | 0.40 | 0.09 | +0.31 | |
| Punish Counters landed | 0.40 | 0.12 | +0.28 | |
| Throw techs | 0.70 | 0.43 | +0.27 | |
| Drive Impact | 0.40 | 0.21 | +0.19 | |
| Throws | 2.30 | 2.49 | -0.19 | |
| Drive Reversal | 0.00 | 0.17 | -0.17 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Throw parries | 0.20 | 0.26 | -0.06 | |
| Got stunned | 0.00 | 0.05 | -0.05 |
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.
Terry · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.4 · 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 0.4 · reference 0.13
- Got Punish Countered: profile 0.4 · reference 0.09
Make Drive Impact a deliberate choice
Drive Impact: profile 0.4 · reference 0.22
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 0.4 · reference 0.22
- Drive Impact gauge: profile 3.1% · reference 1.6%
Review defensive decisions
Drive Parry: profile 1.5 · reference 1.84
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 Parry: profile 1.5 · reference 1.84
- Perfect Parry: profile 0.4 · reference 0.73
- Drive Reversal: profile 0 · reference 0.23
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: dots-studio/dots-3-note-preview:free
How to beat this player
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.4 · reference 0.09
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 0.4 · reference 0.09
Test the Drive Impact tendency
Drive Impact: profile 0.4 · reference 0.22
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 0.4 · reference 0.22
- Drive Impact gauge: profile 3.1% · reference 1.6%
Test the close-range pattern
Throw techs: profile 0.7 · reference 0.37
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 0.7 · reference 0.37
- Got thrown: profile 4 · reference 2.18
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: dots-studio/dots-3-note-preview:free
Public data
Public statistics and datasets
Results from 51 of 51 stored matches. Explore the datasets for the full saved history.
Results in stored match sample
1 row- Wins
- 31games
- Losses
- 20games
- Draws
- 0games
- Games
- 51games
- Win rate (draw = half win)
- 60.78%
Field definitions 5 fields
- Wins
- Wins · games.
wins - Losses
- Losses · games.
losses - Draws
- Draws · games.
draws - Games
- Games · games.
total - Win rate (draw = half win)
- Win rate (draw = half win) · percent.
winRateDisplayed to two decimal places; JSON retains full precision.
Current saved character ratings
2 rowsScroll if needed to compare columns. Expand Details for the remaining fields.
| Character | MRMR points | LPLP points | Details |
|---|---|---|---|
| Luke | 0 | -1 | Details for Current saved character ratings, row 1
|
| Terry | 0 | 15,482 | Details for Current saved character ratings, row 2
|
Field definitions 4 fields
- Character ID
- Character ID · identifier.
characterId - Character
- Character · text.
character - MR
- Master Rating · MR points.
mr - LP
- League Points · LP points.
lp
Last saved update: .
Latest saved profile; local results cover at most the newest 10,000 stored matches across all modes.