noel — CS2 Stats
DK76561199472382566[U:1:1512116838]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 45.0% | 44.0% | 44.7% | meets |
| Shot accuracy | 3.2% | 11.6% | 11.9% | 8.7% short |
| Kill/death ratio | 1.02 | 1.03 | 1.04 | meets |
| Match win rate | 56.2% | 45.1% | 45.2% | above |
This profile matches the typical Level 6 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 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: +20pp win rate · -0.02 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 77% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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. 579ms 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 (×0.90 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 |
|---|---|---|---|---|---|
 vertigo | S | 23 | 18–5 | 78% | 0.08 |
 nuke | A | 16 | 9–7 | 56% | 0.03 |
 inferno | D | 10 | 3–7 | 30% | -0.06 |
 ancient | A | 7 | 4–3 | 57% | 0.02 |
| italy | D | 7 | 1–6 | 14% | 0.00 |
 anubis | B | 6 | 3–3 | 50% | -0.03 |
 mirage | D | 6 | 2–4 | 33% | -0.01 |
 overpass | — | 4 | 1–3 | 25% | 0.02 |
 train | — | 4 | 2–2 | 50% | -0.00 |
| thera | — | 4 | 2–2 | 50% | 0.01 |
 dust2 | — | 3 | 2–1 | 67% | 0.07 |
| mills | — | 3 | 3–0 | 100% | 0.04 |
 cache | — | 2 | 1–1 | 50% | 0.03 |
| memento | — | 2 | 1–1 | 50% | 0.21 |
| agency | — | 1 | 0–1 | 0% | 0.07 |
| assembly | — | 1 | 0–1 | 0% | -0.05 |
| office | — | 1 | 0–1 | 0% | 0.08 |
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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 31 | 52% | 1.12 | 16.3 |
| Nuke | 8 | 75% | 1.30 | 18.8 |
| Inferno | 8 | 25% | 0.65 | 10.3 |
| Anubis | 8 | 62% | 1.00 | 16.4 |
| Vertigo | 8 | 75% | 1.35 | 15.8 |
| Ancient | 4 | 100% | 1.17 | 12.8 |
| Dust2 | 4 | 75% | 0.92 | 13.0 |
| Overpass | 2 | 50% | 1.02 | 15.5 |
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 35.2929% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 3–10 | 0.10 | 12% | 15 May → | |
| cache | 13–11 | -0.04 | 28% | 13 May → | |
| anubis | 13–11 | 0.00 | 15% | 18 Feb → | |
| nuke | 8–13 | -0.05 | 15% | 18 Feb → | |
| overpass | 11–13 | -0.09 | 24% | 16 Feb → | |
| ancient | 13–5 | -0.04 | 20% | 11 Jan → | |
| inferno | 11–13 | 0.02 | 20% | 9 Jan → | |
| nuke | 16–14 | 0.02 | 18% | 6 Dec → | |
| mirage | 13–4 | 0.14 | 52% | 24 Nov → | |
| dust2 | 13–1 | 0.19 | 62% | 23 Nov → | |
| mirage | 13–2 | 0.07 | 24% | 8 Nov → | |
| ancient | 13–3 | 0.22 | 16% | 8 Nov → | |
| overpass | 13–6 | 0.14 | 13% | 1 Nov → | |
| overpass | 1–13 | -0.01 | 12% | 25 Oct → | |
| inferno | 6–13 | -0.05 | 21% | 24 Oct → | |
| nuke | 13–7 | 0.05 | 23% | 23 Oct → | |
| nuke | 7–9 | 0.01 | 12% | 22 Oct → | |
| nuke | 0–7 | -0.06 | 11% | 18 Oct → | |
| overpass | 6–9 | 0.05 | 16% | 18 Oct → | |
| nuke | 14–16 | 0.05 | 25% | 16 Oct → | |
| ancient | 0–8 | -0.06 | 27% | 9 Oct → | |
| inferno | 5–9 | -0.09 | 9% | 9 Oct → | |
| train | 13–5 | -0.02 | 7% | 9 Oct → | |
| nuke | 11–13 | -0.09 | 8% | 5 Oct → | |
| agency | 6–13 | 0.07 | 14% | 5 Oct → | |
| mirage | 0–8 | -0.03 | 27% | 4 Oct → | |
| anubis | 7–10 | -0.09 | 4% | 26 Sept → | |
| anubis | 13–1 | -0.02 | 12% | 21 Mar → | |
| inferno | 16–13 | -0.05 | 7% | 6 Mar → | |
| nuke | 13–10 | -0.05 | 9% | 13 Feb → | |
| inferno | 6–13 | -0.11 | 11% | 13 Feb → | |
| dust2 | 4–13 | 0.01 | 56% | 9 Feb → | |
| inferno | 3–13 | -0.07 | 16% | 2 Feb → | |
| nuke | 16–14 | -0.01 | 9% | 31 Jan → | |
| nuke | 14–16 | -0.04 | 9% | 31 Jan → | |
| train | 2–13 | -0.04 | 0% | 27 Nov → | |
| train | 1–8 | 0.01 | 13% | 14 Nov → | |
| train | 13–2 | 0.06 | 29% | 14 Nov → | |
| inferno | 2–9 | -0.07 | 22% | 30 Oct → | |
| mirage | 3–13 | -0.10 | 21% | 18 Oct → | |
| italy | 8–13 | 0.04 | 27% | 17 Oct → | |
| italy | 4–13 | -0.05 | 11% | 16 Oct → | |
| italy | 12–12 | -0.05 | 50% | 10 Oct → | |
| anubis | 0–7 | -0.07 | 43% | 9 Oct → | |
| vertigo | 13–9 | 0.10 | 10% | 9 Oct → | |
| nuke | 4–13 | -0.06 | 13% | 8 Oct → | |
| italy | 12–12 | 0.11 | 24% | 8 Oct → | |
| mirage | 4–13 | -0.01 | 19% | 7 Oct → | |
| italy | 7–13 | -0.03 | 18% | 7 Oct → | |
| anubis | 3–13 | -0.00 | 11% | 6 Oct → | |
| dust2 | 13–6 | 0.03 | 14% | 6 Oct → | |
| italy | 10–13 | -0.06 | 9% | 5 Oct → | |
| mills | 13–9 | -0.01 | 21% | 3 Oct → | |
| inferno | 4–13 | -0.08 | 30% | 3 Oct → | |
| italy | 13–8 | 0.07 | 27% | 3 Oct → | |
| mirage | 8–13 | -0.10 | 8% | 1 Oct → | |
| vertigo | 9–6 | 0.03 | 16% | 1 Oct → | |
| mills | 13–7 | 0.05 | 17% | 29 Sept → | |
| mills | 13–10 | 0.07 | 22% | 27 Sept → | |
| ancient | 2–13 | -0.13 | 14% | 27 Sept → | |
| ancient | 0–6 | -0.03 | 8% | 24 Sept → | |
| inferno | 13–7 | -0.08 | 0% | 24 Sept → | |
| thera | 13–8 | 0.00 | 18% | 23 Aug → | |
| thera | 0–13 | -0.07 | 27% | 23 Aug → | |
| assembly | 7–9 | -0.05 | 8% | 6 Aug → | |
| ancient | 13–10 | 0.04 | 17% | 6 Aug → | |
| ancient | 3–1 | 0.17 | 6% | 6 Aug → | |
| office | 12–12 | 0.08 | 36% | 3 Jul → | |
| thera | 8–13 | 0.13 | 18% | 2 Jul → | |
| nuke | 13–10 | 0.08 | 18% | 1 Jul → | |
| thera | 13–10 | -0.03 | 17% | 30 Jun → | |
| memento | 8–8 | 0.11 | 8% | 27 Jun → | |
| memento | 9–4 | 0.32 | 16% | 27 Jun → | |
| anubis | 13–11 | -0.01 | 29% | 21 Jun → | |
| vertigo | 9–1 | 0.20 | 4% | 18 Jun → | |
| vertigo | 5–9 | -0.29 | 0% | 18 Jun → | |
| vertigo | 13–2 | 0.09 | 15% | 17 Jun → | |
| vertigo | 9–7 | 0.09 | 12% | 14 Jun → | |
| vertigo | 9–6 | 0.03 | 18% | 5 Jun → | |
| nuke | 9–4 | 0.08 | 28% | 5 Jun → | |
| vertigo | 9–7 | 0.09 | 31% | 5 Jun → | |
| vertigo | 9–4 | 0.17 | 30% | 5 Jun → | |
| nuke | 9–4 | 0.06 | 21% | 3 Jun → | |
| nuke | 9–2 | 0.27 | 28% | 3 Jun → | |
| inferno | 9–3 | -0.02 | 12% | 3 Jun → | |
| nuke | 9–0 | 0.23 | 23% | 3 Jun → | |
| vertigo | 9–1 | 0.35 | 20% | 2 Jun → | |
| vertigo | 7–9 | 0.09 | 15% | 2 Jun → | |
| vertigo | 9–3 | 0.07 | 40% | 2 Jun → | |
| vertigo | 9–4 | 0.13 | 26% | 2 Jun → | |
| vertigo | 9–5 | 0.13 | 29% | 2 Jun → | |
| vertigo | 9–0 | 0.32 | 33% | 2 Jun → | |
| vertigo | 8–8 | -0.03 | 17% | 2 Jun → | |
| vertigo | 0–5 | -0.26 | 0% | 1 Jun → | |
| vertigo | 9–4 | 0.15 | 14% | 1 Jun → | |
| vertigo | 9–5 | 0.04 | 12% | 1 Jun → | |
| vertigo | 9–2 | 0.15 | 22% | 1 Jun → | |
| vertigo | 9–2 | 0.12 | 21% | 1 Jun → | |
| vertigo | 9–2 | 0.11 | 19% | 1 Jun → | |
| vertigo | 7–9 | -0.06 | 6% | 1 Jun → |
Match data via Leetify.
