MrLexityG — CS2 Stats
76561199113076512[U:1:1152810784]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 61.9% | 52.8% | above |
| Shot accuracy | 5.7% | 13.7% | 8.0% short |
| Kill/death ratio | 1.34 | 1.08 | above |
| Match win rate | 42.5% | 49.2% | 6.7% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 94% playstyle similarity
Most alike: positioning profile, opening-duel success.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| B | 22 | 10–12 | 45% | 0.01 | |
| C | 18 | 8–10 | 44% | 0.02 | |
| A | 17 | 10–7 | 59% | 0.03 | |
| S | 13 | 10–3 | 77% | 0.02 | |
| S | 13 | 9–4 | 69% | -0.00 | |
| C | 12 | 5–7 | 42% | 0.02 | |
| — | 3 | 0–3 | 0% | -0.03 | |
| — | 1 | 1–0 | 100% | 0.04 | |
| office | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Mirage 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 170 | 42% | 1.14 | 17.0 |
| Anubis | 141 | 57% | 1.17 | 17.4 |
| Dust2 | 131 | 48% | 1.07 | 16.7 |
| Ancient | 123 | 50% | 1.12 | 16.9 |
| Inferno | 107 | 46% | 1.07 | 16.9 |
| Nuke | 58 | 62% | 1.18 | 19.4 |
| Vertigo | 20 | 60% | 1.24 | 19.9 |
| Cache | 15 | 33% | 1.00 | 14.0 |
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 37.3751% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.07 | 6% | 27 Aug → | ||
| 8–13 | 0.04 | 14% | 27 Aug → | ||
| 1–8 | -0.05 | 13% | 26 Aug → | ||
| 13–11 | -0.02 | 4% | 26 Aug → | ||
| 13–7 | 0.02 | 11% | 26 Aug → | ||
| 13–9 | 0.03 | 16% | 26 Aug → | ||
| 8–13 | -0.03 | 19% | 25 Aug → | ||
| 11–13 | 0.04 | 17% | 25 Aug → | ||
| 11–13 | -0.05 | 14% | 25 Aug → | ||
| 13–5 | 0.07 | 27% | 24 Aug → | ||
| 19–22 | 0.03 | 17% | 24 Aug → | ||
| 13–6 | 0.01 | 12% | 24 Aug → | ||
| 7–13 | -0.02 | 10% | 24 Aug → | ||
| 20–22 | -0.01 | 21% | 24 Aug → | ||
| 7–13 | -0.00 | 24% | 24 Aug → | ||
| 13–11 | 0.00 | 15% | 23 Aug → | ||
| 2–13 | -0.06 | 11% | 23 Aug → | ||
| 13–3 | 0.04 | 11% | 23 Aug → | ||
| 13–5 | 0.07 | 21% | 23 Aug → | ||
| 1–13 | -0.05 | 9% | 23 Aug → | ||
| 13–11 | 0.05 | 12% | 23 Aug → | ||
| 13–10 | -0.00 | 10% | 22 Aug → | ||
| 6–13 | -0.05 | 30% | 22 Aug → | ||
| 16–13 | -0.01 | 5% | 21 Aug → | ||
| 9–13 | 0.02 | 26% | 21 Aug → | ||
| 8–13 | 0.02 | 23% | 21 Aug → | ||
| 10–13 | -0.05 | 23% | 21 Aug → | ||
| 15–15 | 0.02 | 11% | 20 Aug → | ||
| 13–8 | 0.01 | 17% | 20 Aug → | ||
| 13–8 | -0.02 | 13% | 20 Aug → | ||
| 4–6 | -0.16 | 5% | 20 Aug → | ||
| 13–5 | 0.10 | 33% | 20 Aug → | ||
| 13–4 | 0.10 | 12% | 20 Aug → | ||
| 7–13 | -0.02 | 23% | 20 Aug → | ||
| 14–16 | -0.01 | 8% | 19 Aug → | ||
| 9–13 | 0.06 | 14% | 19 Aug → | ||
| 16–13 | -0.07 | 20% | 19 Aug → | ||
| 13–3 | 0.05 | 33% | 19 Aug → | ||
| 13–10 | 0.02 | 23% | 19 Aug → | ||
| 13–5 | 0.06 | 14% | 18 Aug → | ||
| 13–11 | -0.05 | 21% | 18 Aug → | ||
| 4–13 | -0.04 | 15% | 18 Aug → | ||
| 5–13 | -0.08 | 14% | 18 Aug → | ||
| 13–9 | -0.00 | 14% | 18 Aug → | ||
| 13–8 | -0.01 | 19% | 17 Aug → | ||
| 13–11 | 0.08 | 10% | 17 Aug → | ||
| 13–9 | 0.03 | 19% | 17 Aug → | ||
| 11–13 | 0.03 | 41% | 17 Aug → | ||
| 14–16 | 0.01 | 21% | 17 Aug → | ||
| 14–16 | -0.00 | 19% | 17 Aug → | ||
| 13–9 | 0.11 | 25% | 17 Aug → | ||
| 9–13 | -0.05 | 11% | 16 Aug → | ||
| 13–7 | 0.04 | 10% | 16 Aug → | ||
| 16–12 | 0.08 | 19% | 16 Aug → | ||
| 12–16 | -0.03 | 10% | 15 Aug → | ||
| 8–13 | 0.01 | 29% | 15 Aug → | ||
| 7–13 | -0.02 | 4% | 15 Aug → | ||
| 10–13 | -0.00 | 32% | 15 Aug → | ||
| 13–8 | 0.05 | 25% | 15 Aug → | ||
| 16–12 | 0.04 | 12% | 15 Aug → | ||
| 14–16 | 0.03 | 11% | 14 Aug → | ||
| 13–9 | 0.04 | 15% | 14 Aug → | ||
| 13–5 | 0.04 | 21% | 14 Aug → | ||
| 13–6 | 0.08 | 15% | 14 Aug → | ||
| 13–2 | -0.01 | 14% | 13 Aug → | ||
| 10–13 | 0.04 | 16% | 13 Aug → | ||
| 13–7 | 0.12 | 16% | 13 Aug → | ||
| 13–8 | 0.04 | 17% | 13 Aug → | ||
| 13–3 | 0.13 | 3% | 13 Aug → | ||
| 19–17 | 0.04 | 12% | 13 Aug → | ||
| 6–13 | 0.09 | 22% | 13 Aug → | ||
| 13–7 | 0.06 | 20% | 13 Aug → | ||
| 11–13 | -0.01 | 15% | 12 Aug → | ||
| 13–9 | 0.01 | 16% | 12 Aug → | ||
| 5–13 | 0.01 | 17% | 12 Aug → | ||
| 13–4 | 0.10 | 23% | 12 Aug → | ||
| 1–13 | -0.01 | 16% | 12 Aug → | ||
| 13–9 | 0.04 | 20% | 11 Aug → | ||
| 13–6 | 0.07 | 13% | 11 Aug → | ||
| 1–13 | -0.05 | 6% | 11 Aug → | ||
| 3–1 | -0.02 | 13% | 11 Aug → | ||
| 8–13 | -0.06 | 12% | 11 Aug → | ||
| 10–13 | 0.05 | 10% | 11 Aug → | ||
| 13–5 | 0.10 | 41% | 9 Aug → | ||
| office | 10–13 | -0.01 | 24% | 9 Aug → | |
| 14–16 | -0.00 | 22% | 9 Aug → | ||
| 13–2 | 0.05 | 50% | 9 Aug → | ||
| 13–4 | 0.03 | 23% | 8 Aug → | ||
| 1–13 | -0.05 | 10% | 8 Aug → | ||
| 13–6 | -0.00 | 11% | 8 Aug → | ||
| 13–11 | 0.06 | 15% | 8 Aug → | ||
| 13–7 | 0.11 | 15% | 8 Aug → | ||
| 13–8 | 0.06 | 14% | 7 Aug → | ||
| 8–13 | -0.05 | 15% | 7 Aug → | ||
| 16–19 | -0.02 | 14% | 6 Aug → | ||
| 9–13 | 0.01 | 21% | 5 Aug → | ||
| 3–13 | -0.06 | 5% | 5 Aug → | ||
| 13–7 | 0.04 | 25% | 5 Aug → | ||
| 13–16 | 0.02 | 26% | 5 Aug → | ||
| 13–6 | 0.07 | 24% | 5 Aug → |
Match data via Leetify.