NLE Choppa — CS2 Stats
76561198692077970[U:1:731812242]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 47.9% | 41.7% | 44.1% | above |
| Shot accuracy | 0.0% | 8.8% | 11.4% | 11.4% short |
| Kill/death ratio | 0.98 | 0.97 | 1.03 | 0.05 short |
| Match win rate | 42.6% | 43.8% | 45.2% | 2.6% short |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple band 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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 ropz 91% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: higher opening-fight frequency.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 604ms 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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 88 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 |
|---|---|---|---|---|---|
 dust2 | B | 19 | 10–9 | 53% | 0.03 |
 mirage | C | 13 | 5–8 | 38% | 0.03 |
 nuke | B | 13 | 7–6 | 54% | 0.04 |
 cache | S | 9 | 6–3 | 67% | 0.02 |
 train | C | 9 | 4–5 | 44% | 0.05 |
 inferno | S | 7 | 5–2 | 71% | 0.06 |
 anubis | S | 6 | 5–1 | 83% | 0.06 |
| office | B | 6 | 3–3 | 50% | 0.04 |
 ancient | — | 4 | 3–1 | 75% | 0.01 |
 vertigo | — | 1 | 1–0 | 100% | -0.01 |
| warden | — | 1 | 0–1 | 0% | 0.04 |
Across the last 88 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 13). 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.
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 38.8597% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 8–13 | -0.04 | 9% | 27 Aug → | |
| anubis | 13–8 | 0.01 | 15% | 26 Aug → | |
| ancient | 13–10 | 0.04 | 5% | 26 Aug → | |
| anubis | 8–13 | 0.00 | 18% | 25 Aug → | |
| cache | 13–5 | 0.09 | 24% | 24 Aug → | |
| ancient | 13–8 | -0.03 | 12% | 24 Aug → | |
| inferno | 13–6 | 0.02 | 15% | 24 Aug → | |
| ancient | 16–12 | 0.01 | 10% | 24 Aug → | |
| inferno | 6–13 | 0.00 | 24% | 23 Aug → | |
| dust2 | 6–13 | -0.07 | 38% | 21 Aug → | |
| ancient | 8–13 | 0.02 | 14% | 21 Aug → | |
| cache | 11–13 | -0.03 | 19% | 21 Aug → | |
| dust2 | 13–11 | 0.06 | 14% | 19 Aug → | |
| nuke | 13–3 | 0.08 | 13% | 18 Aug → | |
| mirage | 13–10 | 0.11 | 26% | 16 Aug → | |
| cache | 13–8 | 0.05 | 17% | 16 Aug → | |
| dust2 | 11–13 | -0.05 | 13% | 13 Aug → | |
| inferno | 13–6 | 0.14 | 8% | 13 Aug → | |
| nuke | 13–9 | -0.00 | 22% | 12 Aug → | |
| dust2 | 3–13 | -0.09 | 38% | 12 Aug → | |
| nuke | 12–12 | 0.08 | 16% | 11 Aug → | |
| mirage | 13–6 | -0.05 | 13% | 10 Aug → | |
| anubis | 13–11 | 0.07 | 14% | 10 Aug → | |
| dust2 | 15–15 | 0.09 | 10% | 10 Aug → | |
| mirage | 13–5 | -0.02 | 16% | 9 Aug → | |
| cache | 9–13 | -0.02 | 14% | 9 Aug → | |
| nuke | 13–5 | 0.19 | 14% | 9 Aug → | |
| nuke | 13–9 | 0.10 | 20% | 9 Aug → | |
| mirage | 10–13 | 0.04 | 25% | 9 Aug → | |
| dust2 | 10–13 | 0.10 | 20% | 8 Aug → | |
| inferno | 7–13 | 0.04 | 16% | 6 Aug → | |
| mirage | 3–13 | -0.05 | 23% | 2 Aug → | |
| cache | 10–13 | 0.09 | 29% | 1 Aug → | |
| mirage | 10–13 | -0.02 | 11% | 1 Aug → | |
| vertigo | 13–2 | -0.01 | 4% | 31 Jul → | |
| inferno | 16–14 | 0.18 | 27% | 29 Jul → | |
| dust2 | 13–4 | 0.12 | 25% | 29 Jul → | |
| dust2 | 7–13 | 0.04 | 14% | 28 Jul → | |
| mirage | 7–13 | -0.01 | 19% | 28 Jul → | |
| mirage | 10–13 | -0.01 | 24% | 27 Jul → | |
| cache | 13–6 | -0.03 | 16% | 27 Jul → | |
| inferno | 13–9 | 0.10 | 11% | 26 Jul → | |
| dust2 | 13–4 | 0.01 | 22% | 26 Jul → | |
| mirage | 8–13 | 0.08 | 34% | 26 Jul → | |
| mirage | 13–4 | 0.10 | 27% | 26 Jul → | |
| anubis | 13–8 | 0.07 | 24% | 26 Jul → | |
| nuke | 9–13 | -0.06 | 17% | 26 Jul → | |
| dust2 | 13–4 | -0.04 | 19% | 23 Jul → | |
| nuke | 15–15 | -0.01 | 21% | 23 Jul → | |
| anubis | 13–4 | 0.03 | 22% | 22 Jul → | |
| anubis | 13–6 | 0.19 | 18% | 22 Jul → | |
| nuke | 3–13 | 0.00 | 13% | 21 Jul → | |
| dust2 | 4–13 | 0.04 | 16% | 20 Jul → | |
| cache | 4–1 | 0.04 | 12% | 20 Jul → | |
| nuke | 10–13 | 0.02 | 19% | 19 Jul → | |
| nuke | 13–4 | 0.12 | 21% | 18 Jul → | |
| office | 9–4 | -0.06 | 0% | 18 Jul → | |
| nuke | 13–0 | -0.01 | 50% | 16 Jul → | |
| dust2 | 13–7 | 0.05 | 16% | 15 Jul → | |
| office | 10–13 | 0.01 | 16% | 8 Jul → | |
| office | 7–13 | 0.02 | 16% | 26 Jun → | |
| train | 13–11 | 0.10 | 13% | 21 Jun → | |
| dust2 | 13–3 | 0.11 | 19% | 21 Jun → | |
| dust2 | 0–5 | -0.08 | 13% | 21 Jun → | |
| train | 2–5 | 0.14 | 18% | 18 Jun → | |
| train | 3–5 | 0.19 | 38% | 18 Jun → | |
| office | 13–11 | 0.06 | 22% | 17 Jun → | |
| train | 9–13 | -0.06 | 9% | 17 Jun → | |
| train | 13–5 | 0.00 | 7% | 17 Jun → | |
| train | 13–2 | 0.11 | 21% | 17 Jun → | |
| nuke | 12–12 | 0.00 | 12% | 16 Jun → | |
| cache | 13–6 | 0.01 | 9% | 16 Jun → | |
| mirage | 13–3 | 0.06 | 19% | 16 Jun → | |
| dust2 | 13–4 | -0.01 | 28% | 16 Jun → | |
| office | 10–13 | 0.06 | 23% | 16 Jun → | |
| dust2 | 13–3 | 0.07 | 12% | 15 Jun → | |
| dust2 | 7–13 | 0.06 | 15% | 15 Jun → | |
| train | 11–13 | 0.02 | 18% | 15 Jun → | |
| warden | 5–13 | 0.04 | 22% | 14 Jun → | |
| inferno | 13–7 | -0.03 | 2% | 13 Jun → | |
| mirage | 4–13 | 0.16 | 6% | 13 Jun → | |
| train | 13–8 | 0.00 | 8% | 13 Jun → | |
| office | 13–0 | 0.15 | 13% | 12 Jun → | |
| dust2 | 13–9 | 0.00 | 18% | 12 Jun → | |
| nuke | 13–7 | 0.06 | 22% | 11 Jun → | |
| dust2 | 13–7 | 0.07 | 23% | 11 Jun → | |
| train | 10–13 | -0.01 | 14% | 11 Jun → | |
| cache | 13–11 | 0.01 | 15% | 10 Jun → |
Match data via Leetify.
