Latest game
VictoryRanked
TE
CHTEUpdated 5 hours ago
Steam
JapanC100%
SteamJapanC100%Britva
The World Warrior
MR 1,571#119,716Last 106–4+20Last 2011–9+25
Winrate
52%
100W · 93L · 193 stored
Ranked matches
193
selected mode
Wins
100
Ranked
Losses
93
Ranked
Peak MR
1,623
Terry
Ranked MR · Terry
193 local · 2500 imported · 2622 on chart · 288 battles stored
Replay not requested
TECHPlaystyle 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
TELargest absolute differences first23 habits
| Habit | Britva | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 37.1% | 24.5% | +12.6% | |
| SA3 | 24.2% | 32.8% | -8.6% | |
| SA1 | 29.0% | 33.6% | -4.6% | |
| Drive Rush (cancel) | 29.2% | 33.4% | -4.2% | |
| Drive Arts | 12.8% | 16.3% | -3.6% | |
| Drive Rush (parry) | 10.2% | 8.2% | +1.9% | |
| Corner pressure | 10.60 | 12.45 | -1.85 | |
| Drive Guard | 15.9% | 14.3% | +1.6% | |
| Time cornered | 10.50 | 9.65 | +0.85 | |
| CA | 9.7% | 9.0% | +0.7% | |
| Drive Parry | 1.30 | 1.89 | -0.59 | |
| Perfect Parry | 0.50 | 0.80 | -0.30 | |
| Throw techs | 0.20 | 0.43 | -0.23 | |
| Drive Reversal | 0.00 | 0.17 | -0.17 | |
| Throw parries | 0.10 | 0.26 | -0.16 | |
| Drive Impact gauge | 1.8% | 1.6% | +0.1% | |
| Throws | 2.40 | 2.49 | -0.09 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.10 | 0.05 | +0.05 | |
| Punish Counters landed | 0.10 | 0.12 | -0.02 | |
| Drive Impact | 0.20 | 0.21 | -0.01 | |
| Got Punish Countered | 0.10 | 0.09 | +0.01 | |
| Got thrown | 2.20 | 2.21 | -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.
Terry · Latest 100
What to improve
Review defensive decisions
Drive Reversal: profile 0 · reference 0.23
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 · reference 0.23
- Perfect Parry: profile 0.3 · reference 0.73
- Drive Parry: profile 1.4 · reference 1.84
Trace how you lose or gain space
Corner pressure: profile 14.7 · reference 12.01
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 14.7 · reference 12.01
- Time cornered: profile 6.9 · reference 9.55
Give each meter spend a purpose
SA3: profile 19.3% · reference 29.9%
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 19.3% · reference 29.9%
- SA2: profile 36.8% · reference 27.2%
- Drive Arts: profile 15.4% · reference 15.5%
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 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Luke: 9 wins in 13 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 Luke: 9 wins in 13 games
- vs Akuma: 7 wins in 13 games
- vs Alex: 6 wins in 11 games
Separate a tendency from a one-off event
Recent stored ranked sample: 40 wins in 69 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: 40 wins in 69 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free