Neon — CS2 Stats
CA76561198059200111[U:1:98934383]Steam profile ↗
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 40.7% | 42.5% | 44.2% | 3.5% short |
| Shot accuracy | 17.7% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.11 | 0.99 | 1.04 | above |
| Match win rate | 42.8% | 44.2% | 45.3% | 2.5% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 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: +30pp win rate · +0.01 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerEffective flashesReliable in 1v1s
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 b1t 90% playstyle similarity
Most alike: positioning profile, utility contribution.
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 →
Strengths & areas to improve
Strengths
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 54% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 617ms 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 5.9/10 (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 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 | 21 | 12–9 | 57% | 0.01 | |
| B | 19 | 10–9 | 53% | 0.01 | |
| A | 18 | 10–8 | 56% | 0.01 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| S | 9 | 6–3 | 67% | 0.02 | |
| D | 6 | 2–4 | 33% | -0.00 | |
| D | 5 | 1–4 | 20% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.01 | |
| office | — | 2 | 0–2 | 0% | -0.08 |
| stronghold | — | 1 | 0–1 | 0% | -0.06 |
| — | 1 | 1–0 | 100% | 0.03 | |
| warden | — | 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Train | 1 | 100% | 1.08 | 13.0 |
| Mirage | 1 | 0% | 0.77 | 17.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.9377° — above the 12° 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 | |
|---|---|---|---|---|---|
| 13–8 | 0.05 | 4% | 22 Aug → | ||
| 15–15 | -0.01 | 15% | 11 Aug → | ||
| 13–8 | 0.03 | 14% | 10 Aug → | ||
| 13–11 | -0.03 | 13% | 10 Aug → | ||
| 13–6 | 0.07 | 23% | 8 Aug → | ||
| 13–8 | 0.08 | 8% | 8 Aug → | ||
| 13–5 | 0.02 | 16% | 24 Jul → | ||
| 13–6 | 0.07 | 26% | 24 Jul → | ||
| 10–13 | -0.01 | 17% | 24 Jul → | ||
| 13–9 | -0.03 | 17% | 20 Jul → | ||
| 13–5 | 0.06 | 34% | 20 Jul → | ||
| 13–6 | -0.02 | 14% | 19 Jul → | ||
| 13–4 | 0.02 | 16% | 17 Jul → | ||
| 15–15 | 0.05 | 9% | 17 Jul → | ||
| 14–16 | 0.03 | 28% | 13 Jul → | ||
| 7–13 | 0.02 | 20% | 10 Jul → | ||
| 5–13 | -0.04 | 21% | 10 Jul → | ||
| 14–16 | 0.01 | 21% | 10 Jul → | ||
| 13–10 | -0.00 | 14% | 9 Jul → | ||
| 13–8 | 0.01 | 17% | 9 Jul → | ||
| stronghold | 8–13 | -0.06 | 13% | 8 Jul → | |
| 12–12 | 0.03 | 6% | 8 Jul → | ||
| 13–3 | 0.03 | 10% | 8 Jul → | ||
| 9–13 | 0.00 | 10% | 8 Jul → | ||
| warden | 5–13 | -0.09 | 0% | 8 Jul → | |
| office | 5–13 | -0.09 | 24% | 8 Jul → | |
| 15–15 | 0.04 | 17% | 3 Jul → | ||
| 10–13 | -0.04 | 16% | 3 Jul → | ||
| 6–13 | 0.06 | 7% | 3 Jul → | ||
| 13–8 | 0.01 | 14% | 3 Jul → | ||
| 16–12 | -0.05 | 8% | 1 Jul → | ||
| 13–6 | 0.02 | 8% | 30 Jun → | ||
| 3–13 | -0.06 | 4% | 30 Jun → | ||
| 13–8 | -0.01 | 14% | 28 Jun → | ||
| 13–6 | -0.07 | 11% | 28 Jun → | ||
| 8–13 | -0.06 | 16% | 28 Jun → | ||
| 13–9 | 0.08 | 32% | 26 Jun → | ||
| 13–7 | 0.09 | 15% | 25 Jun → | ||
| 6–13 | -0.03 | 24% | 25 Jun → | ||
| 13–8 | 0.01 | 6% | 24 Jun → | ||
| 16–13 | 0.07 | 18% | 23 Jun → | ||
| 10–13 | -0.03 | 20% | 23 Jun → | ||
| 11–13 | 0.05 | 16% | 23 Jun → | ||
| 10–13 | 0.01 | 18% | 22 Jun → | ||
| 9–13 | -0.02 | 22% | 22 Jun → | ||
| 11–13 | 0.00 | 13% | 22 Jun → | ||
| 7–13 | -0.02 | 18% | 21 Jun → | ||
| 13–11 | 0.05 | 4% | 21 Jun → | ||
| 15–15 | -0.00 | 8% | 21 Jun → | ||
| 13–11 | 0.03 | 15% | 21 Jun → | ||
| 13–7 | -0.05 | 16% | 19 Jun → | ||
| 9–13 | -0.06 | 4% | 18 Jun → | ||
| 13–5 | 0.13 | 11% | 18 Jun → | ||
| 13–5 | 0.13 | 16% | 16 Jun → | ||
| 14–16 | 0.02 | 16% | 16 Jun → | ||
| 13–9 | -0.02 | 20% | 14 Jun → | ||
| 2–8 | -0.01 | 10% | 14 Jun → | ||
| 13–10 | 0.05 | 12% | 12 Jun → | ||
| 6–13 | -0.01 | 9% | 12 Jun → | ||
| 13–11 | 0.01 | 13% | 12 Jun → | ||
| 13–9 | -0.03 | 9% | 12 Jun → | ||
| 9–13 | -0.03 | 3% | 12 Jun → | ||
| 9–13 | -0.08 | 6% | 12 Jun → | ||
| 8–13 | -0.03 | 17% | 9 Jun → | ||
| 16–12 | 0.06 | 16% | 9 Jun → | ||
| 11–13 | -0.02 | 20% | 8 Jun → | ||
| 2–13 | -0.05 | 12% | 8 Jun → | ||
| 13–10 | 0.03 | 12% | 8 Jun → | ||
| 13–5 | -0.06 | 16% | 8 Jun → | ||
| 13–9 | 0.01 | 9% | 8 Jun → | ||
| 13–6 | -0.01 | 12% | 8 Jun → | ||
| 14–16 | -0.07 | 20% | 8 Jun → | ||
| office | 4–13 | -0.07 | 16% | 7 Jun → | |
| 4–13 | 0.06 | 10% | 6 Jun → | ||
| 13–9 | 0.03 | 11% | 6 Jun → | ||
| 13–6 | 0.04 | 12% | 6 Jun → | ||
| 8–13 | -0.04 | 13% | 5 Jun → | ||
| 11–13 | -0.05 | 8% | 5 Jun → | ||
| 13–8 | 0.05 | 32% | 3 Jun → | ||
| 13–10 | -0.03 | 17% | 3 Jun → | ||
| 9–13 | -0.02 | 23% | 3 Jun → | ||
| 13–7 | -0.03 | 12% | 3 Jun → | ||
| 15–15 | 0.06 | 14% | 3 Jun → | ||
| 13–1 | 0.10 | 18% | 3 Jun → | ||
| 13–7 | 0.00 | 24% | 3 Jun → | ||
| 13–7 | 0.16 | 26% | 3 Jun → | ||
| 13–16 | -0.02 | 17% | 2 Jun → | ||
| 13–8 | 0.07 | 26% | 2 Jun → | ||
| 13–9 | 0.04 | 20% | 2 Jun → | ||
| 9–13 | 0.03 | 24% | 1 Jun → | ||
| 7–13 | -0.03 | 11% | 1 Jun → | ||
| 13–6 | 0.14 | 20% | 30 May → | ||
| 13–11 | -0.01 | 10% | 30 May → | ||
| 15–15 | 0.06 | 21% | 30 May → | ||
| 9–13 | 0.07 | 19% | 30 May → | ||
| 7–13 | 0.04 | 29% | 30 May → | ||
| 13–7 | 0.12 | 20% | 29 May → | ||
| 15–15 | -0.04 | 10% | 28 May → | ||
| 9–13 | -0.01 | 5% | 28 May → | ||
| 14–16 | 0.04 | 12% | 26 May → |
Match data via Leetify.