LeZULE — CS2 Stats
CO76561197992488528[U:1:32222800]Steam profile ↗✓ No bans
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.
Is this you? Sign in with Steam to claim it and connect match tracking →
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · −0.00 avg rating · −3.5pp headshot accuracy · +43ms reaction
Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.
Last 5 · 10 · 20 matches
Last 5
- 5–0 · 100% win rate
- Avg rating 0.08
- Avg headshot accuracy 12%
- Avg reaction 513ms
Last 10
- 10–0 · 100% win rate
- Avg rating 0.07
- Avg headshot accuracy 15%
- Avg reaction 529ms
Last 20
- 15–3–2 · 75% win rate
- Avg rating 0.07
- Avg headshot accuracy 16%
- Avg reaction 508ms
Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Opening Duellist — Winning opening duels is what stands out in this profile (+1.1 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.
Strong positioning
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match

Plays most like m0NESY 74% playstyle similarity
Most alike: utility contribution, positioning profile.
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. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
T openings. 72% T opening-duel success — entries that actually open the round.
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 7.9/10 (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.
Personal bests
Across the last 100 tracked matches.
Highlights
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.05 | 19% | 17 Sept → | ||
| 13–7 | -0.05 | 8% | 17 Sept → | ||
| 13–7 | 0.09 | 15% | 17 Sept → | ||
| 13–4 | 0.24 | 9% | 17 Sept → | ||
| 10–5 | 0.06 | 11% | 17 Sept → | ||
| 13–7 | 0.10 | 20% | 15 Sept → | ||
| 13–8 | 0.04 | 16% | 15 Sept → | ||
| 13–11 | -0.00 | 7% | 15 Sept → | ||
| 13–8 | 0.04 | 23% | 14 Sept → | ||
| 13–4 | 0.14 | 19% | 14 Sept → | ||
| 9–13 | 0.10 | 12% | 13 Sept → | ||
| 10–13 | -0.02 | 11% | 13 Sept → | ||
| 13–4 | 0.29 | 38% | 13 Sept → | ||
| 12–12 | 0.18 | 22% | 13 Sept → | ||
| 13–8 | 0.06 | 15% | 13 Sept → | ||
| 13–9 | 0.01 | 13% | 13 Sept → | ||
| 12–12 | 0.10 | 19% | 12 Sept → | ||
| 13–5 | 0.01 | 9% | 12 Sept → | ||
| 2–13 | -0.02 | 21% | 12 Sept → | ||
| 13–4 | 0.05 | 21% | 12 Sept → | ||
| 13–11 | 0.06 | 13% | 11 Sept → | ||
| 13–4 | 0.07 | 11% | 11 Sept → | ||
| 8–13 | -0.01 | 14% | 11 Sept → | ||
| 13–5 | -0.01 | 10% | 11 Sept → | ||
| 0–6 | -0.10 | 0% | 10 Sept → | ||
| 13–5 | 0.22 | 20% | 10 Sept → | ||
| 9–13 | -0.01 | 15% | 10 Sept → | ||
| 5–13 | -0.06 | 14% | 10 Sept → | ||
| 13–2 | 0.06 | 26% | 10 Sept → | ||
| 0–8 | -0.03 | 18% | 10 Sept → | ||
| 13–3 | 0.01 | 4% | 9 Sept → | ||
| 13–3 | 0.09 | 18% | 9 Sept → | ||
| 10–13 | 0.04 | 19% | 9 Sept → | ||
| 7–13 | 0.09 | 15% | 8 Sept → | ||
| 2–12 | -0.04 | 33% | 8 Sept → | ||
| 7–13 | 0.00 | 15% | 8 Sept → | ||
| 13–2 | 0.14 | 17% | 8 Sept → | ||
| 12–12 | 0.08 | 24% | 8 Sept → | ||
| 13–9 | 0.09 | 29% | 8 Sept → | ||
| 0–5 | -0.08 | 0% | 8 Sept → | ||
| 13–9 | 0.02 | 12% | 7 Sept → | ||
| 13–5 | 0.16 | 23% | 7 Sept → | ||
| 8–13 | -0.01 | 18% | 7 Sept → | ||
| 13–6 | 0.01 | 16% | 7 Sept → | ||
| 13–4 | -0.01 | 14% | 7 Sept → | ||
| 13–8 | 0.04 | 10% | 6 Sept → | ||
| 12–12 | 0.14 | 22% | 6 Sept → | ||
| 10–13 | 0.08 | 15% | 5 Sept → | ||
| 13–9 | 0.12 | 17% | 5 Sept → | ||
| 6–13 | 0.02 | 10% | 2 Sept → | ||
| 13–8 | 0.14 | 11% | 2 Sept → | ||
| 13–6 | 0.09 | 23% | 2 Sept → | ||
| 13–7 | 0.08 | 25% | 2 Sept → | ||
| 2–13 | -0.01 | 18% | 2 Sept → | ||
| 13–2 | 0.09 | 17% | 1 Sept → | ||
| 13–10 | 0.02 | 13% | 1 Sept → | ||
| 13–1 | 0.09 | 31% | 1 Sept → | ||
| 13–3 | 0.07 | 21% | 1 Sept → | ||
| 3–13 | -0.06 | 16% | 31 Aug → | ||
| 13–4 | 0.06 | 16% | 31 Aug → | ||
| 12–5 | 0.08 | 14% | 31 Aug → | ||
| 13–5 | 0.06 | 27% | 31 Aug → | ||
| 1–13 | -0.03 | 30% | 31 Aug → | ||
| 13–6 | 0.05 | 19% | 30 Aug → | ||
| 13–6 | 0.17 | 21% | 30 Aug → | ||
| 8–13 | 0.02 | 10% | 30 Aug → | ||
| 5–13 | 0.00 | 9% | 30 Aug → | ||
| 13–10 | 0.22 | 11% | 27 Aug → | ||
| 13–0 | 0.08 | 9% | 27 Aug → | ||
| 13–2 | 0.08 | 13% | 27 Aug → | ||
| 13–5 | 0.08 | 19% | 26 Aug → | ||
| 12–12 | -0.03 | 18% | 26 Aug → | ||
| 3–13 | -0.04 | 16% | 25 Aug → | ||
| 13–10 | 0.14 | 22% | 25 Aug → | ||
| 7–13 | -0.01 | 14% | 25 Aug → | ||
| 13–5 | 0.15 | 16% | 24 Aug → | ||
| 12–12 | 0.03 | 12% | 24 Aug → | ||
| 11–13 | 0.01 | 15% | 24 Aug → | ||
| 11–13 | 0.08 | 16% | 23 Aug → | ||
| 13–6 | 0.04 | 11% | 22 Aug → | ||
| 13–11 | 0.05 | 15% | 22 Aug → | ||
| 11–13 | 0.06 | 15% | 20 Aug → | ||
| 7–3 | 0.03 | 15% | 20 Aug → | ||
| 13–10 | 0.03 | 16% | 20 Aug → | ||
| 6–9 | 0.11 | 24% | 19 Aug → | ||
| 13–6 | 0.08 | 22% | 19 Aug → | ||
| 13–10 | -0.01 | 23% | 19 Aug → | ||
| 13–3 | 0.15 | 19% | 19 Aug → | ||
| 13–11 | 0.04 | 19% | 18 Aug → | ||
| 13–8 | 0.01 | 12% | 18 Aug → | ||
| 13–8 | 0.11 | 22% | 18 Aug → | ||
| 12–12 | 0.02 | 14% | 17 Aug → | ||
| 5–13 | -0.06 | 10% | 17 Aug → | ||
| 4–13 | 0.00 | 13% | 17 Aug → | ||
| 13–4 | -0.02 | 14% | 17 Aug → | ||
| 9–6 | 0.20 | 14% | 17 Aug → | ||
| 12–12 | -0.01 | 15% | 16 Aug → | ||
| 10–13 | 0.07 | 11% | 16 Aug → | ||
| 13–9 | 0.04 | 24% | 16 Aug → | ||
| 10–13 | 0.02 | 20% | 16 Aug → |
Match data via Leetify.