Latest game
VictoryRanked
TE
INTEUpdated 17 hours ago
Steam
JapanC100%
SteamJapanC100%OhToThu
Sick! Wicked Sick!!
LP 20,437Last 105–5Last 209–11
Winrate
42%
26W · 36L · 62 stored
Ranked matches
62
selected mode
Wins
26
Ranked
Losses
36
Ranked
Peak LP
21,579
Terry
Ranked LP · Terry
League points over time for this character
Replay not requested
TEINPlaystyle 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 | OhToThu | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 7.7% | 24.5% | -16.8% | |
| SA1 | 50.0% | 33.6% | +16.4% | |
| Drive Rush (cancel) | 44.9% | 33.4% | +11.5% | |
| Corner pressure | 6.10 | 12.45 | -6.35 | |
| Drive Arts | 11.1% | 16.3% | -5.2% | |
| Drive Rush (parry) | 3.4% | 8.2% | -4.9% | |
| Drive Guard | 11.3% | 14.3% | -3.1% | |
| Time cornered | 6.60 | 9.65 | -3.05 | |
| Drive Parry | 3.20 | 1.89 | +1.31 | |
| Throws | 3.30 | 2.49 | +0.81 | |
| Drive Impact gauge | 2.4% | 1.6% | +0.8% | |
| Got thrown | 2.90 | 2.21 | +0.69 | |
| CA | 9.6% | 9.0% | +0.6% | |
| Perfect Parry | 0.40 | 0.80 | -0.40 | |
| Got Punish Countered | 0.30 | 0.09 | +0.21 | |
| Throw techs | 0.60 | 0.43 | +0.17 | |
| Drive Reversal | 0.30 | 0.17 | +0.13 | |
| SA3 | 32.7% | 32.8% | -0.1% | |
| Drive Impact | 0.30 | 0.21 | +0.09 | |
| Punish Counters landed | 0.20 | 0.12 | +0.08 | |
| Stuns landed | 0.00 | 0.07 | -0.07 | |
| Throw parries | 0.20 | 0.26 | -0.06 | |
| Got stunned | 0.10 | 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
Got Punish Countered: profile 0.3 · reference 0.09
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 0.3 · reference 0.09
- Punish Counters landed: profile 0.2 · reference 0.12
Review close-range choices
Throws: profile 3.3 · reference 2.49
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 3.3 · reference 2.49
- Throw techs: profile 0.6 · reference 0.43
- Got thrown: profile 2.9 · reference 2.21
Trace how you lose or gain space
Corner pressure: profile 6.1 · reference 12.45
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 6.1 · reference 12.45
- Time cornered: profile 6.6 · reference 9.65
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 12, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Yasmine: 45 wins in 98 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: 45 wins in 98 games
- vs Alex: 20 wins in 48 games
- vs Ingrid: 12 wins in 32 games
Separate a tendency from a one-off event
Recent stored ranked sample: 26 wins in 62 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 62 games
Test the Drive Impact tendency
Drive Impact: profile 0.3 · reference 0.21
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 0.3 · reference 0.21
- Drive Impact gauge: profile 2.4% · reference 1.6%
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 12, 2026 · AI: dots-studio/dots-3-note-preview:free