N3ph4Lem — CS2 Stats
76561198862849422[U:1:902583694]✓ 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 | 38.3% | 41.7% | 44.1% | 5.8% short |
| Shot accuracy | 15.5% | 8.8% | 11.4% | above |
| Kill/death ratio | 1.02 | 0.97 | 1.03 | meets |
| Match win rate | 45.6% | 43.8% | 45.2% | meets |
This profile matches the typical Purple band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. 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: +10pp win rate · -0.01 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 NiKo 91% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower aim profile.
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 5.3/10 (Developing), 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 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 |
|---|---|---|---|---|---|
| A | 31 | 18–13 | 58% | -0.01 | |
| B | 17 | 8–9 | 47% | 0.03 | |
| D | 15 | 5–10 | 33% | 0.01 | |
| S | 15 | 10–5 | 67% | 0.03 | |
| S | 10 | 7–3 | 70% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.12 | |
| — | 2 | 2–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1 | 0% | 1.33 | 24.0 |
| Inferno | 1 | 100% | 1.31 | 21.0 |
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 35.7746% — 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 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.03 | 23% | 28 Aug → | ||
| 13–7 | -0.01 | 17% | 27 Aug → | ||
| 6–13 | 0.05 | 24% | 27 Aug → | ||
| 6–13 | -0.05 | 21% | 27 Aug → | ||
| 13–9 | -0.01 | 26% | 27 Aug → | ||
| 11–13 | 0.05 | 24% | 24 Aug → | ||
| 8–13 | 0.04 | 18% | 24 Aug → | ||
| 13–4 | 0.02 | 25% | 24 Aug → | ||
| 13–4 | 0.04 | 14% | 24 Aug → | ||
| 8–13 | -0.07 | 25% | 22 Aug → | ||
| 13–9 | 0.05 | 25% | 22 Aug → | ||
| 7–13 | -0.00 | 24% | 22 Aug → | ||
| 9–13 | 0.06 | 37% | 21 Aug → | ||
| 3–13 | -0.05 | 8% | 20 Aug → | ||
| 13–5 | 0.03 | 31% | 20 Aug → | ||
| 4–13 | -0.02 | 19% | 6 Jul → | ||
| 11–13 | 0.08 | 18% | 6 Jul → | ||
| 12–16 | 0.00 | 0% | 6 Jul → | ||
| 13–7 | -0.02 | 19% | 2 Jul → | ||
| 13–8 | 0.02 | 22% | 2 Jul → | ||
| 13–9 | -0.03 | 13% | 29 Jun → | ||
| 7–13 | 0.02 | 24% | 24 Jun → | ||
| 11–13 | -0.05 | 25% | 23 Jun → | ||
| 13–8 | 0.02 | 23% | 23 Jun → | ||
| 13–4 | 0.02 | 39% | 23 Jun → | ||
| 13–11 | 0.01 | 14% | 23 Jun → | ||
| 7–13 | 0.00 | 39% | 10 Jun → | ||
| 7–13 | -0.03 | 12% | 8 Jun → | ||
| 9–13 | -0.04 | 22% | 8 Jun → | ||
| 10–13 | -0.07 | 16% | 4 Jun → | ||
| 13–9 | -0.03 | 11% | 4 Jun → | ||
| 0–13 | -0.03 | 0% | 4 Jun → | ||
| 11–13 | 0.02 | 15% | 3 Jun → | ||
| 13–7 | -0.04 | 13% | 3 Jun → | ||
| 13–11 | -0.02 | 14% | 3 Jun → | ||
| 13–8 | -0.04 | 21% | 3 Jun → | ||
| 8–13 | -0.00 | 8% | 3 Jun → | ||
| 15–15 | -0.02 | 12% | 2 Jun → | ||
| 13–3 | 0.00 | 18% | 2 Jun → | ||
| 13–10 | -0.03 | 25% | 2 Jun → | ||
| 8–13 | -0.03 | 11% | 1 Jun → | ||
| 13–11 | 0.01 | 12% | 1 Jun → | ||
| 13–3 | 0.02 | 25% | 31 May → | ||
| 10–13 | -0.01 | 12% | 30 May → | ||
| 13–7 | 0.02 | 16% | 26 May → | ||
| 13–11 | 0.02 | 11% | 12 May → | ||
| 9–13 | -0.05 | 20% | 30 Apr → | ||
| 13–8 | 0.10 | 11% | 30 Apr → | ||
| 12–12 | 0.08 | 17% | 29 Apr → | ||
| 13–10 | 0.17 | 16% | 29 Apr → | ||
| 13–11 | -0.02 | 9% | 28 Apr → | ||
| 8–13 | 0.03 | 8% | 28 Apr → | ||
| 11–13 | 0.03 | 20% | 28 Apr → | ||
| 11–13 | 0.02 | 17% | 27 Apr → | ||
| 13–10 | -0.02 | 4% | 26 Apr → | ||
| 13–9 | 0.01 | 16% | 26 Apr → | ||
| 15–15 | 0.03 | 19% | 26 Apr → | ||
| 13–10 | 0.09 | 19% | 26 Apr → | ||
| 13–10 | -0.05 | 14% | 25 Apr → | ||
| 13–6 | 0.02 | 24% | 25 Apr → | ||
| 13–5 | 0.01 | 13% | 25 Apr → | ||
| 5–13 | 0.00 | 17% | 24 Apr → | ||
| 16–12 | 0.08 | 18% | 24 Apr → | ||
| 14–16 | -0.01 | 23% | 24 Apr → | ||
| 6–13 | -0.03 | 13% | 24 Apr → | ||
| 13–4 | 0.05 | 25% | 23 Apr → | ||
| 15–15 | 0.01 | 10% | 23 Apr → | ||
| 13–5 | 0.07 | 10% | 23 Apr → | ||
| 13–4 | 0.07 | 22% | 23 Apr → | ||
| 8–13 | -0.04 | 24% | 22 Apr → | ||
| 7–0 | -0.02 | 40% | 22 Apr → | ||
| 13–3 | -0.02 | 21% | 22 Apr → | ||
| 3–13 | -0.04 | 13% | 22 Apr → | ||
| 13–1 | 0.00 | 8% | 22 Apr → | ||
| 13–10 | 0.03 | 20% | 22 Apr → | ||
| 13–10 | 0.01 | 21% | 22 Apr → | ||
| 8–13 | -0.05 | 11% | 22 Apr → | ||
| 13–3 | 0.06 | 13% | 19 Apr → | ||
| 7–13 | -0.04 | 5% | 19 Apr → | ||
| 10–13 | -0.05 | 15% | 19 Apr → | ||
| 13–4 | -0.02 | 17% | 18 Apr → | ||
| 16–14 | -0.01 | 16% | 18 Apr → | ||
| 13–7 | -0.02 | 6% | 18 Apr → | ||
| 13–8 | 0.06 | 24% | 18 Apr → | ||
| 13–5 | -0.00 | 17% | 18 Apr → | ||
| 13–1 | 0.03 | 22% | 18 Apr → | ||
| 13–9 | 0.03 | 16% | 17 Apr → | ||
| 13–3 | -0.01 | 11% | 17 Apr → | ||
| 15–15 | 0.08 | 22% | 17 Apr → | ||
| 13–3 | 0.17 | 22% | 17 Apr → | ||
| 13–11 | -0.03 | 17% | 17 Apr → | ||
| 15–15 | 0.11 | 6% | 17 Apr → | ||
| 5–11 | -0.05 | 18% | 17 Apr → | ||
| 13–10 | 0.14 | 20% | 17 Apr → | ||
| 6–0 | 0.11 | 35% | 17 Apr → | ||
| 11–13 | -0.01 | 12% | 17 Apr → | ||
| 3–13 | 0.07 | 14% | 16 Apr → | ||
| 13–10 | 0.13 | 16% | 16 Apr → | ||
| 13–4 | 0.05 | 30% | 16 Apr → | ||
| 3–13 | -0.05 | 13% | 16 Apr → |
Match data via Leetify.