Latest game
VictoryCasual
TE
KITEUpdated 1 week ago
Steam
IrelandC100%
SteamIrelandC100%Kuja
Muscles Never Betray You
Last 105–5Last 2011–9
Winrate
58%
59W · 43L · 102 stored
Ranked matches
102
selected mode
Wins
59
Ranked
Losses
43
Ranked
Peak LP
14,907
Terry
Ranked LP · Terry
League points over time for this character
Replay not requested
TEKIPlaystyle 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 | Kuja | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 19.3% | 33.6% | -14.3% | |
| Drive Rush (cancel) | 20.0% | 33.4% | -13.5% | |
| SA3 | 42.1% | 32.8% | +9.3% | |
| Drive Impact gauge | 8.4% | 1.6% | +6.8% | |
| CA | 15.8% | 9.0% | +6.8% | |
| Time cornered | 3.60 | 9.65 | -6.05 | |
| Corner pressure | 8.10 | 12.45 | -4.35 | |
| Drive Guard | 11.7% | 14.3% | -2.6% | |
| SA2 | 22.8% | 24.5% | -1.7% | |
| Drive Parry | 0.70 | 1.89 | -1.19 | |
| Throws | 1.50 | 2.49 | -0.99 | |
| Perfect Parry | 0.00 | 0.80 | -0.80 | |
| Drive Impact | 0.90 | 0.21 | +0.69 | |
| Drive Arts | 15.7% | 16.3% | -0.7% | |
| Punish Counters landed | 0.60 | 0.12 | +0.48 | |
| Throw techs | 0.00 | 0.43 | -0.43 | |
| Got Punish Countered | 0.50 | 0.09 | +0.41 | |
| Got thrown | 2.60 | 2.21 | +0.39 | |
| Drive Rush (parry) | 8.5% | 8.2% | +0.2% | |
| Drive Reversal | 0.00 | 0.17 | -0.17 | |
| Throw parries | 0.10 | 0.26 | -0.16 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Stuns landed | 0.10 | 0.07 | +0.03 |
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 0.5 · 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 0.5 · reference 0.09
- Punish Counters landed: profile 0.6 · reference 0.13
Make Drive Impact a deliberate choice
Drive Impact: profile 0.9 · 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 0.9 · reference 0.22
- Drive Impact gauge: profile 8.4% · reference 1.6%
Review close-range choices
Got thrown: profile 2.6 · reference 2.18
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
- Got thrown: profile 2.6 · reference 2.18
- Throw techs: profile 0 · reference 0.37
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: nex-agi/nex-n2.5-mini:free
How to beat this player
Use matchup records as scouting leads
vs Char 253: 175 wins in 590 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 Char 253: 175 wins in 590 games
- vs Ingrid: 40 wins in 121 games
- vs Ryu: 23 wins in 110 games
Separate a tendency from a one-off event
Recent stored ranked sample: 57 wins in 100 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: 57 wins in 100 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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free