Lee — CS2 Stats
76561198200903561[U:1:240637833]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like ZywOo 93% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 60% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 552ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| S | 23 | 16–7 | 70% | 0.02 | |
| A | 22 | 13–9 | 59% | 0.04 | |
| A | 20 | 11–9 | 55% | 0.04 | |
| A | 19 | 12–7 | 63% | 0.03 | |
| B | 8 | 4–4 | 50% | 0.04 | |
| — | 4 | 1–3 | 25% | -0.02 | |
| — | 2 | 2–0 | 100% | 0.05 | |
| — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 179 | 50% | 1.21 | 17.9 |
| Inferno | 133 | 54% | 1.43 | 18.7 |
| Ancient | 130 | 61% | 1.22 | 17.0 |
| Anubis | 62 | 52% | 1.42 | 18.7 |
| Cache | 56 | 59% | 1.47 | 20.1 |
| Dust2 | 49 | 41% | 1.10 | 16.3 |
| Nuke | 23 | 48% | 1.15 | 15.9 |
| Overpass | 22 | 23% | 1.10 | 17.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 36.3388% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.06 | 15% | 6 Aug → | ||
| 16–14 | 0.03 | 19% | 6 Aug → | ||
| 13–5 | -0.00 | 22% | 3 Aug → | ||
| 6–13 | -0.08 | 10% | 2 Aug → | ||
| 6–13 | -0.03 | 21% | 29 Jul → | ||
| 6–13 | -0.01 | 14% | 29 Jul → | ||
| 13–11 | 0.09 | 20% | 26 Jul → | ||
| 13–4 | 0.00 | 30% | 25 Jul → | ||
| 13–10 | -0.01 | 21% | 25 Jul → | ||
| 11–13 | 0.03 | 26% | 25 Jul → | ||
| 7–13 | 0.05 | 26% | 24 Jul → | ||
| 19–15 | 0.06 | 19% | 24 Jul → | ||
| 7–13 | -0.01 | 26% | 23 Jul → | ||
| 13–9 | 0.04 | 19% | 23 Jul → | ||
| 13–4 | 0.02 | 30% | 19 Jul → | ||
| 10–13 | -0.03 | 16% | 19 Jul → | ||
| 13–10 | -0.02 | 29% | 18 Jul → | ||
| 13–6 | 0.01 | 19% | 17 Jul → | ||
| 13–5 | 0.04 | 22% | 17 Jul → | ||
| 9–5 | 0.01 | 16% | 14 Jul → | ||
| 16–14 | 0.04 | 28% | 14 Jul → | ||
| 13–6 | 0.11 | 19% | 13 Jul → | ||
| 13–6 | -0.01 | 17% | 13 Jul → | ||
| 13–6 | 0.04 | 13% | 13 Jul → | ||
| 13–4 | 0.10 | 30% | 13 Jul → | ||
| 13–11 | -0.01 | 17% | 13 Jul → | ||
| 13–5 | 0.10 | 10% | 13 Jul → | ||
| 3–13 | 0.04 | 24% | 13 Jul → | ||
| 13–5 | 0.07 | 21% | 12 Jul → | ||
| 13–1 | 0.14 | 40% | 12 Jul → | ||
| 13–10 | 0.06 | 13% | 11 Jul → | ||
| 9–13 | 0.01 | 33% | 11 Jul → | ||
| 13–1 | 0.11 | 21% | 9 Jul → | ||
| 13–2 | 0.05 | 5% | 9 Jul → | ||
| 13–6 | 0.08 | 23% | 9 Jul → | ||
| 13–7 | 0.04 | 19% | 9 Jul → | ||
| 13–1 | 0.17 | 16% | 8 Jul → | ||
| 6–13 | 0.02 | 33% | 8 Jul → | ||
| 13–8 | 0.05 | 27% | 8 Jul → | ||
| 14–16 | -0.08 | 23% | 7 Jul → | ||
| 13–5 | 0.11 | 18% | 6 Jul → | ||
| 9–13 | -0.01 | 15% | 3 Jul → | ||
| 3–13 | -0.00 | 29% | 23 Jun → | ||
| 8–13 | -0.01 | 22% | 13 Jun → | ||
| 13–8 | 0.10 | 17% | 2 Jun → | ||
| 4–13 | -0.03 | 41% | 23 May → | ||
| 13–8 | 0.10 | 24% | 22 May → | ||
| 13–3 | 0.07 | 20% | 21 May → | ||
| 13–11 | 0.06 | 33% | 21 May → | ||
| 1–13 | -0.07 | 37% | 20 May → | ||
| 6–13 | -0.03 | 37% | 18 May → | ||
| 10–13 | 0.02 | 13% | 18 May → | ||
| 13–11 | 0.05 | 24% | 18 May → | ||
| 3–13 | 0.02 | 9% | 18 May → | ||
| 9–13 | -0.06 | 6% | 17 May → | ||
| 13–4 | 0.01 | 3% | 17 May → | ||
| 11–13 | 0.03 | 10% | 14 May → | ||
| 8–13 | 0.02 | 23% | 13 May → | ||
| 9–13 | -0.00 | 17% | 13 May → | ||
| 7–13 | 0.04 | 23% | 13 May → | ||
| 9–13 | 0.04 | 22% | 13 May → | ||
| 11–13 | -0.04 | 21% | 12 May → | ||
| 11–13 | 0.03 | 20% | 9 May → | ||
| 6–13 | 0.03 | 28% | 9 May → | ||
| 13–8 | 0.08 | 26% | 9 May → | ||
| 3–13 | 0.05 | 33% | 8 May → | ||
| 13–6 | 0.08 | 21% | 8 May → | ||
| 13–8 | 0.03 | 26% | 7 May → | ||
| 2–13 | -0.02 | 14% | 6 May → | ||
| 13–7 | 0.11 | 37% | 6 May → | ||
| 13–7 | 0.02 | 28% | 6 May → | ||
| 2–13 | -0.02 | 39% | 4 May → | ||
| 4–13 | -0.08 | 18% | 30 Apr → | ||
| 7–13 | 0.01 | 24% | 30 Apr → | ||
| 12–12 | 0.04 | 21% | 29 Apr → | ||
| 13–7 | 0.04 | 33% | 29 Apr → | ||
| 13–6 | 0.11 | 21% | 29 Apr → | ||
| 13–11 | 0.05 | 33% | 27 Apr → | ||
| 14–16 | 0.02 | 31% | 24 Apr → | ||
| 16–13 | -0.01 | 13% | 23 Apr → | ||
| 13–3 | 0.11 | 27% | 23 Apr → | ||
| 13–8 | 0.03 | 20% | 23 Apr → | ||
| 11–13 | -0.01 | 16% | 21 Apr → | ||
| 13–8 | 0.01 | 13% | 21 Apr → | ||
| 9–13 | 0.05 | 23% | 21 Apr → | ||
| 13–3 | 0.13 | 29% | 21 Apr → | ||
| 13–9 | 0.09 | 22% | 21 Apr → | ||
| 13–8 | 0.11 | 24% | 16 Apr → | ||
| 13–5 | -0.05 | 33% | 16 Apr → | ||
| 16–14 | -0.02 | 22% | 15 Apr → | ||
| 9–13 | 0.04 | 16% | 15 Apr → | ||
| 13–8 | 0.01 | 15% | 14 Apr → | ||
| 10–13 | -0.01 | 11% | 13 Apr → | ||
| 13–10 | 0.01 | 33% | 12 Apr → | ||
| 13–5 | 0.06 | 20% | 11 Apr → | ||
| 25–22 | 0.03 | 25% | 11 Apr → | ||
| 13–11 | 0.05 | 23% | 10 Apr → | ||
| 13–11 | -0.01 | 13% | 10 Apr → | ||
| 13–8 | -0.00 | 25% | 10 Apr → | ||
| 13–4 | 0.06 | 17% | 10 Apr → |
Match data via Leetify.