LerBron — CS2 Stats
76561199034545866[U:1:1074280138]Steam profile ↗
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 | 54.4% | 52.8% | above |
| Shot accuracy | 9.6% | 13.7% | 4.1% short |
| Kill/death ratio | 1.39 | 1.08 | above |
| Match win rate | 47.2% | 49.2% | 2.0% 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 · +0.03 avg rating
Player DNA
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 NiKo 81% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
Areas to improve
T-side openings. Opening success drops from 35% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 577ms 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 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 21 | 15–6 | 71% | -0.02 | |
| C | 20 | 8–12 | 40% | -0.04 | |
| B | 16 | 8–8 | 50% | -0.04 | |
| C | 12 | 5–7 | 42% | -0.02 | |
| D | 9 | 3–6 | 33% | -0.02 | |
| A | 9 | 5–4 | 56% | -0.02 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| office | — | 2 | 0–2 | 0% | -0.01 |
| — | 2 | 1–1 | 50% | -0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 591 | 50% | 0.88 | 14.6 |
| Nuke | 507 | 62% | 1.01 | 15.5 |
| Anubis | 432 | 47% | 0.90 | 14.6 |
| Mirage | 328 | 46% | 0.83 | 13.0 |
| Dust2 | 287 | 45% | 0.82 | 13.4 |
| Inferno | 222 | 50% | 0.85 | 13.3 |
| Vertigo | 165 | 50% | 1.03 | 16.4 |
| Overpass | 111 | 46% | 0.90 | 14.5 |
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 18.8408% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.03 | 21% | 28 Aug → | ||
| 7–13 | -0.09 | 26% | 27 Aug → | ||
| 13–10 | -0.03 | 31% | 27 Aug → | ||
| 13–3 | 0.06 | 29% | 27 Aug → | ||
| 8–13 | -0.05 | 21% | 27 Aug → | ||
| 8–13 | 0.00 | 20% | 27 Aug → | ||
| 11–13 | -0.03 | 15% | 27 Aug → | ||
| 13–10 | -0.02 | 21% | 27 Aug → | ||
| 6–13 | -0.09 | 19% | 24 Aug → | ||
| 9–7 | 0.04 | 29% | 24 Aug → | ||
| 1–9 | -0.24 | 14% | 24 Aug → | ||
| 7–0 | 0.01 | 29% | 24 Aug → | ||
| 13–2 | -0.02 | 17% | 24 Aug → | ||
| 7–13 | -0.06 | 19% | 24 Aug → | ||
| 19–15 | -0.01 | 28% | 22 Aug → | ||
| 16–19 | -0.02 | 14% | 21 Aug → | ||
| 14–16 | -0.01 | 13% | 18 Aug → | ||
| 6–9 | -0.07 | 18% | 16 Aug → | ||
| 5–9 | -0.10 | 29% | 16 Aug → | ||
| 13–4 | -0.00 | 11% | 16 Aug → | ||
| 9–13 | -0.05 | 15% | 16 Aug → | ||
| 16–12 | -0.01 | 13% | 16 Aug → | ||
| 0–13 | -0.10 | 11% | 16 Aug → | ||
| 20–22 | 0.02 | 10% | 13 Aug → | ||
| 6–13 | -0.02 | 27% | 10 Aug → | ||
| 4–13 | -0.09 | 19% | 10 Aug → | ||
| 4–9 | -0.04 | 22% | 5 Aug → | ||
| 5–13 | -0.05 | 19% | 5 Aug → | ||
| 13–7 | -0.06 | 17% | 3 Aug → | ||
| 5–13 | -0.05 | 9% | 3 Aug → | ||
| 4–13 | -0.05 | 21% | 2 Aug → | ||
| 7–13 | -0.05 | 10% | 2 Aug → | ||
| 10–13 | -0.04 | 13% | 1 Aug → | ||
| 16–13 | -0.04 | 22% | 1 Aug → | ||
| 20–22 | -0.03 | 11% | 31 Jul → | ||
| 16–14 | -0.04 | 25% | 28 Jul → | ||
| 13–11 | 0.02 | 27% | 28 Jul → | ||
| 10–13 | 0.05 | 38% | 26 Jul → | ||
| 11–13 | 0.01 | 23% | 25 Jul → | ||
| 4–13 | -0.03 | 18% | 24 Jul → | ||
| 10–13 | -0.05 | 17% | 23 Jul → | ||
| 11–13 | -0.08 | 29% | 23 Jul → | ||
| 14–16 | -0.09 | 13% | 22 Jul → | ||
| 13–10 | -0.05 | 31% | 22 Jul → | ||
| 7–13 | -0.04 | 13% | 22 Jul → | ||
| 13–9 | -0.04 | 11% | 20 Jul → | ||
| 13–10 | -0.05 | 13% | 17 Jul → | ||
| 13–7 | -0.05 | 21% | 16 Jul → | ||
| 13–7 | -0.02 | 22% | 15 Jul → | ||
| 13–8 | -0.01 | 8% | 15 Jul → | ||
| 9–13 | -0.06 | 22% | 15 Jul → | ||
| 13–10 | -0.04 | 12% | 15 Jul → | ||
| 13–6 | 0.00 | 14% | 14 Jul → | ||
| 5–13 | -0.02 | 18% | 14 Jul → | ||
| 22–19 | -0.04 | 7% | 14 Jul → | ||
| 13–10 | -0.06 | 11% | 13 Jul → | ||
| 16–13 | 0.02 | 13% | 13 Jul → | ||
| 13–6 | -0.06 | 5% | 12 Jul → | ||
| 13–9 | -0.04 | 23% | 11 Jul → | ||
| 10–13 | -0.04 | 18% | 10 Jul → | ||
| office | 11–13 | -0.02 | 17% | 10 Jul → | |
| office | 8–13 | -0.01 | 26% | 10 Jul → | |
| 13–9 | -0.04 | 12% | 10 Jul → | ||
| 7–13 | -0.07 | 15% | 10 Jul → | ||
| 4–13 | -0.02 | 14% | 9 Jul → | ||
| 5–13 | -0.03 | 19% | 9 Jul → | ||
| 13–4 | -0.00 | 24% | 4 Jul → | ||
| 13–4 | -0.00 | 5% | 3 Jul → | ||
| 13–5 | 0.09 | 15% | 1 Jul → | ||
| 5–13 | 0.02 | 23% | 1 Jul → | ||
| 16–13 | 0.11 | 13% | 1 Jul → | ||
| 13–10 | -0.01 | 17% | 1 Jul → | ||
| 16–14 | -0.04 | 7% | 28 Jun → | ||
| 13–9 | 0.01 | 12% | 27 Jun → | ||
| 16–12 | -0.02 | 15% | 26 Jun → | ||
| 13–7 | 0.01 | 21% | 26 Jun → | ||
| 13–8 | 0.06 | 15% | 24 Jun → | ||
| 13–5 | 0.04 | 26% | 17 Jun → | ||
| 13–9 | -0.09 | 14% | 17 Jun → | ||
| 13–6 | -0.07 | 4% | 17 Jun → | ||
| 13–4 | 0.01 | 24% | 11 Jun → | ||
| 13–6 | 0.01 | 16% | 11 Jun → | ||
| 12–16 | -0.08 | 9% | 8 Jun → | ||
| 13–16 | -0.02 | 16% | 8 Jun → | ||
| 5–13 | -0.05 | 11% | 7 Jun → | ||
| 13–11 | 0.01 | 11% | 7 Jun → | ||
| 13–8 | -0.04 | 28% | 7 Jun → | ||
| 6–13 | -0.08 | 19% | 6 Jun → | ||
| 13–9 | 0.05 | 19% | 6 Jun → | ||
| 9–13 | -0.01 | 28% | 2 Jun → | ||
| 11–13 | -0.04 | 14% | 31 May → | ||
| 13–5 | -0.05 | 23% | 24 May → | ||
| 5–9 | 0.03 | 23% | 22 May → | ||
| 13–7 | 0.07 | 35% | 22 May → | ||
| 13–8 | -0.06 | 27% | 22 May → | ||
| 13–6 | 0.02 | 24% | 22 May → | ||
| 6–13 | -0.06 | 10% | 22 May → | ||
| 11–13 | -0.02 | 13% | 20 May → | ||
| 12–16 | -0.04 | 15% | 19 May → | ||
| 13–11 | 0.03 | 23% | 19 May → |
Match data via Leetify.