nmlcrckrs — CS2 Stats
76561198237502294[U:1:277236566]✓ No bans
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | vs Level 2 |
|---|---|---|---|
| Headshot rate | 36.4% | 42.1% | 5.7% short |
| Shot accuracy | 14.5% | 12.9% | above |
| Kill/death ratio | 0.79 | 1.00 | 0.21 short |
| Match win rate | 38.5% | 42.9% | 4.4% short |
This profile matches the typical Level 2 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 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: +10pp win rate · +0.01 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 67% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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
Reaction time. 636ms 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 3.6/10 (Learning), 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 |
|---|---|---|---|---|---|
| C | 27 | 10–17 | 37% | -0.03 | |
| C | 19 | 8–11 | 42% | -0.02 | |
| C | 16 | 7–9 | 44% | -0.02 | |
| C | 10 | 4–6 | 40% | -0.06 | |
| D | 7 | 2–5 | 29% | -0.05 | |
| B | 6 | 3–3 | 50% | -0.05 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| D | 5 | 1–4 | 20% | -0.01 | |
| office | — | 3 | 1–2 | 33% | -0.06 |
| — | 1 | 0–1 | 0% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 1 | 100% | 0.63 | 12.0 |
| Mirage | 1 | 100% | 0.41 | 7.0 |
| Inferno | 1 | 0% | 0.73 | 16.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4817 — below the 0.5 mark we flag
- 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 22.1121% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.05 | 22% | 4 Aug → | ||
| 11–13 | -0.09 | 2% | 13 Jul → | ||
| 13–11 | -0.04 | 26% | 13 May → | ||
| 5–13 | -0.00 | 11% | 12 May → | ||
| 5–8 | -0.02 | 11% | 5 May → | ||
| 12–12 | -0.13 | 22% | 8 Apr → | ||
| 6–0 | -0.01 | 20% | 8 Apr → | ||
| 1–13 | -0.05 | 13% | 30 Mar → | ||
| 4–13 | -0.07 | 20% | 30 Mar → | ||
| 8–13 | -0.01 | 20% | 30 Mar → | ||
| 13–6 | -0.03 | 30% | 22 Mar → | ||
| 6–13 | -0.06 | 32% | 18 Mar → | ||
| 13–9 | -0.09 | 9% | 1 Feb → | ||
| 4–13 | -0.11 | 19% | 27 Jan → | ||
| 2–7 | -0.07 | 27% | 11 Jan → | ||
| 6–13 | 0.00 | 24% | 11 Jan → | ||
| 14–16 | -0.03 | 13% | 10 Jan → | ||
| 14–16 | -0.02 | 8% | 10 Jan → | ||
| 3–8 | -0.07 | 17% | 10 Jan → | ||
| 8–13 | -0.12 | 19% | 10 Jan → | ||
| 15–15 | -0.01 | 17% | 10 Jan → | ||
| 13–11 | -0.02 | 19% | 10 Jan → | ||
| 13–9 | -0.01 | 13% | 9 Jan → | ||
| 8–13 | -0.04 | 18% | 9 Jan → | ||
| 13–10 | 0.04 | 10% | 9 Jan → | ||
| 16–13 | 0.03 | 23% | 6 Jan → | ||
| 8–13 | -0.06 | 23% | 6 Jan → | ||
| 5–13 | -0.06 | 10% | 6 Jan → | ||
| 13–11 | -0.04 | 20% | 6 Jan → | ||
| 13–11 | -0.00 | 13% | 6 Jan → | ||
| 13–7 | 0.01 | 13% | 6 Jan → | ||
| 13–11 | -0.04 | 10% | 3 Jan → | ||
| 13–5 | -0.02 | 10% | 3 Jan → | ||
| 5–11 | -0.01 | 25% | 3 Jan → | ||
| 3–13 | -0.06 | 27% | 31 Dec → | ||
| 3–13 | -0.07 | 15% | 31 Dec → | ||
| 13–9 | -0.02 | 8% | 29 Dec → | ||
| 15–15 | -0.04 | 28% | 29 Dec → | ||
| 3–13 | -0.04 | 19% | 29 Dec → | ||
| 4–13 | -0.06 | 16% | 28 Dec → | ||
| 4–13 | -0.09 | 7% | 28 Dec → | ||
| 12–12 | -0.06 | 12% | 26 Dec → | ||
| 13–10 | 0.04 | 9% | 22 Dec → | ||
| 16–14 | -0.02 | 22% | 22 Dec → | ||
| 13–3 | -0.02 | 16% | 22 Dec → | ||
| 10–13 | 0.01 | 13% | 21 Dec → | ||
| 16–14 | 0.03 | 19% | 20 Dec → | ||
| 13–7 | 0.01 | 15% | 6 Dec → | ||
| 13–6 | -0.02 | 13% | 5 Dec → | ||
| 7–13 | 0.01 | 11% | 5 Dec → | ||
| 13–6 | 0.00 | 18% | 30 Nov → | ||
| office | 12–12 | -0.09 | 12% | 29 Nov → | |
| 13–6 | -0.00 | 11% | 29 Nov → | ||
| 13–6 | 0.01 | 19% | 24 Nov → | ||
| 13–4 | -0.01 | 13% | 24 Nov → | ||
| 8–13 | -0.03 | 25% | 20 Nov → | ||
| 12–16 | -0.01 | 15% | 18 Nov → | ||
| office | 12–12 | -0.05 | 36% | 16 Nov → | |
| 13–6 | -0.02 | 0% | 16 Nov → | ||
| 7–13 | -0.15 | 27% | 16 Nov → | ||
| 2–13 | -0.05 | 38% | 16 Nov → | ||
| 6–13 | 0.02 | 20% | 16 Nov → | ||
| 11–13 | 0.03 | 36% | 15 Nov → | ||
| 6–11 | -0.03 | 7% | 13 Nov → | ||
| 13–9 | -0.01 | 38% | 13 Nov → | ||
| 13–11 | 0.06 | 15% | 12 Nov → | ||
| office | 13–8 | -0.02 | 13% | 11 Nov → | |
| 5–5 | 0.02 | 21% | 11 Nov → | ||
| 13–11 | -0.03 | 6% | 10 Nov → | ||
| 13–5 | -0.05 | 33% | 10 Nov → | ||
| 10–13 | -0.01 | 18% | 10 Nov → | ||
| 10–13 | -0.02 | 26% | 9 Nov → | ||
| 10–13 | 0.03 | 18% | 7 Nov → | ||
| 3–13 | -0.09 | 9% | 7 Nov → | ||
| 8–13 | -0.05 | 12% | 7 Nov → | ||
| 13–6 | -0.04 | 24% | 7 Nov → | ||
| 13–9 | -0.08 | 22% | 6 Nov → | ||
| 9–13 | -0.01 | 14% | 6 Nov → | ||
| 9–13 | 0.04 | 17% | 5 Nov → | ||
| 9–11 | -0.08 | 6% | 5 Nov → | ||
| 4–13 | -0.04 | 19% | 5 Nov → | ||
| 1–13 | 0.04 | 13% | 4 Nov → | ||
| 5–13 | -0.08 | 12% | 3 Nov → | ||
| 12–12 | -0.01 | 16% | 1 Nov → | ||
| 13–8 | 0.01 | 13% | 1 Nov → | ||
| 1–7 | -0.02 | 42% | 31 Oct → | ||
| 2–13 | -0.07 | 0% | 31 Oct → | ||
| 7–13 | 0.01 | 20% | 31 Oct → | ||
| 13–10 | -0.00 | 18% | 26 Oct → | ||
| 9–13 | -0.05 | 17% | 26 Oct → | ||
| 3–13 | -0.07 | 21% | 26 Oct → | ||
| 13–5 | -0.02 | 14% | 26 Oct → | ||
| 13–11 | -0.04 | 7% | 23 Oct → | ||
| 3–13 | 0.00 | 18% | 23 Oct → | ||
| 10–13 | -0.07 | 17% | 23 Oct → | ||
| 10–13 | -0.03 | 16% | 22 Oct → | ||
| 5–13 | 0.00 | 22% | 21 Oct → | ||
| 13–5 | -0.05 | 13% | 19 Oct → | ||
| 6–13 | -0.07 | 20% | 18 Oct → | ||
| 13–7 | -0.02 | 4% | 17 Oct → |
Match data via Leetify.
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