little nugget — CS2 Stats
76561198374453887[U:1:414188159]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 48.8% | 48.1% |
| Shot accuracy | 3.8% | 12.9% |
| Kill/death ratio | 1.07 | 1.08 |
| Match win rate | 46.6% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 87% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: higher opening-fight frequency; 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. 635ms 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 5.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 34 | 13–21 | 38% | 0.02 | |
| A | 18 | 11–7 | 61% | -0.01 | |
| C | 14 | 6–8 | 43% | 0.02 | |
| A | 11 | 7–4 | 64% | 0.05 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| D | 5 | 0–5 | 0% | -0.04 | |
| — | 3 | 2–1 | 67% | 0.05 | |
| — | 3 | 0–3 | 0% | -0.02 | |
| debris | — | 1 | 1–0 | 100% | 0.12 |
| — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke 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.
- 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 0.4647 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.02 | 24% | 25 Aug → | ||
| 4–13 | -0.06 | 18% | 24 Aug → | ||
| 16–12 | 0.04 | 19% | 23 Aug → | ||
| 13–11 | 0.02 | 17% | 22 Aug → | ||
| 6–13 | -0.07 | 35% | 19 Aug → | ||
| 13–11 | 0.12 | 16% | 17 Aug → | ||
| 7–13 | -0.01 | 13% | 16 Aug → | ||
| 6–13 | -0.08 | 10% | 14 Aug → | ||
| 13–9 | -0.08 | 16% | 14 Aug → | ||
| 7–13 | -0.02 | 16% | 13 Aug → | ||
| 13–9 | 0.04 | 27% | 11 Aug → | ||
| 9–13 | 0.06 | 24% | 6 Aug → | ||
| 13–7 | 0.01 | 21% | 6 Aug → | ||
| 6–13 | -0.07 | 26% | 3 Aug → | ||
| 13–10 | -0.00 | 15% | 3 Aug → | ||
| 9–6 | 0.05 | 20% | 3 Aug → | ||
| 13–8 | 0.04 | 9% | 2 Aug → | ||
| 3–13 | -0.04 | 19% | 31 Jul → | ||
| 9–13 | -0.04 | 14% | 30 Jul → | ||
| 4–13 | 0.05 | 13% | 30 Jul → | ||
| debris | 9–5 | 0.12 | 7% | 30 Jul → | |
| 8–13 | 0.02 | 15% | 29 Jul → | ||
| 16–14 | -0.02 | 18% | 28 Jul → | ||
| 5–13 | 0.02 | 28% | 27 Jul → | ||
| 9–13 | 0.08 | 24% | 20 Jul → | ||
| 4–13 | -0.02 | 24% | 19 Jul → | ||
| 15–15 | -0.03 | 25% | 19 Jul → | ||
| 13–3 | 0.08 | 11% | 19 Jul → | ||
| 13–9 | 0.04 | 12% | 19 Jul → | ||
| 13–6 | -0.01 | 20% | 19 Jul → | ||
| 13–2 | 0.02 | 21% | 18 Jul → | ||
| 13–16 | -0.06 | 16% | 18 Jul → | ||
| 9–7 | -0.05 | 11% | 18 Jul → | ||
| 13–11 | 0.05 | 16% | 16 Jul → | ||
| 13–8 | 0.01 | 20% | 16 Jul → | ||
| 13–16 | 0.07 | 14% | 16 Jul → | ||
| 16–13 | 0.04 | 17% | 16 Jul → | ||
| 11–13 | 0.03 | 11% | 15 Jul → | ||
| 16–14 | -0.00 | 11% | 15 Jul → | ||
| 13–8 | 0.02 | 29% | 15 Jul → | ||
| 13–11 | 0.01 | 20% | 14 Jul → | ||
| 5–13 | -0.08 | 10% | 14 Jul → | ||
| 13–11 | 0.04 | 16% | 13 Jul → | ||
| 9–5 | 0.06 | 18% | 13 Jul → | ||
| 8–13 | -0.00 | 22% | 12 Jul → | ||
| 13–7 | -0.02 | 18% | 11 Jul → | ||
| 13–9 | 0.04 | 29% | 11 Jul → | ||
| 12–16 | 0.04 | 28% | 10 Jul → | ||
| 1–13 | -0.07 | 26% | 10 Jul → | ||
| 13–7 | 0.05 | 21% | 9 Jul → | ||
| 13–9 | 0.08 | 17% | 9 Jul → | ||
| 13–5 | 0.07 | 21% | 8 Jul → | ||
| 11–13 | -0.02 | 21% | 8 Jul → | ||
| 7–13 | -0.01 | 43% | 6 Jul → | ||
| 4–13 | 0.00 | 19% | 4 Jul → | ||
| 10–13 | 0.02 | 20% | 2 Jul → | ||
| 13–8 | 0.06 | 28% | 1 Jul → | ||
| 15–15 | 0.02 | 23% | 1 Jul → | ||
| 13–8 | 0.05 | 16% | 30 Jun → | ||
| 16–12 | 0.10 | 30% | 30 Jun → | ||
| 13–6 | 0.10 | 12% | 29 Jun → | ||
| 8–13 | 0.06 | 22% | 28 Jun → | ||
| 13–4 | 0.09 | 35% | 28 Jun → | ||
| 11–13 | 0.02 | 13% | 26 Jun → | ||
| 10–13 | 0.04 | 20% | 25 Jun → | ||
| 6–13 | -0.02 | 11% | 25 Jun → | ||
| 7–13 | 0.01 | 23% | 24 Jun → | ||
| 13–8 | 0.06 | 21% | 23 Jun → | ||
| 9–13 | 0.01 | 16% | 22 Jun → | ||
| 4–13 | -0.03 | 29% | 22 Jun → | ||
| 5–13 | 0.09 | 34% | 21 Jun → | ||
| 15–15 | 0.00 | 13% | 21 Jun → | ||
| 5–13 | -0.02 | 13% | 20 Jun → | ||
| 13–9 | 0.09 | 31% | 20 Jun → | ||
| 10–13 | -0.02 | 14% | 20 Jun → | ||
| 8–13 | 0.01 | 13% | 19 Jun → | ||
| 13–2 | 0.19 | 21% | 19 Jun → | ||
| 15–15 | -0.01 | 24% | 19 Jun → | ||
| 13–7 | -0.03 | 13% | 17 Jun → | ||
| 11–13 | -0.00 | 19% | 17 Jun → | ||
| 13–11 | 0.04 | 20% | 15 Jun → | ||
| 13–9 | 0.09 | 23% | 15 Jun → | ||
| 13–10 | 0.03 | 11% | 13 Jun → | ||
| 11–13 | 0.10 | 17% | 12 Jun → | ||
| 8–13 | -0.01 | 13% | 11 Jun → | ||
| 13–7 | -0.04 | 16% | 11 Jun → | ||
| 16–12 | 0.01 | 18% | 9 Jun → | ||
| 8–13 | 0.08 | 11% | 8 Jun → | ||
| 13–10 | 0.04 | 33% | 8 Jun → | ||
| 7–13 | 0.01 | 14% | 8 Jun → | ||
| 8–13 | -0.05 | 7% | 7 Jun → | ||
| 10–13 | -0.07 | 13% | 6 Jun → | ||
| 9–13 | -0.05 | 23% | 4 Jun → | ||
| 13–5 | 0.10 | 17% | 3 Jun → | ||
| 11–13 | -0.01 | 21% | 3 Jun → | ||
| 15–15 | -0.00 | 28% | 3 Jun → | ||
| 13–5 | 0.06 | 13% | 2 Jun → | ||
| 13–11 | 0.06 | 20% | 1 Jun → | ||
| 11–13 | 0.02 | 23% | 1 Jun → | ||
| 2–9 | -0.21 | 15% | 29 May → |
Match data via Leetify.