scroll_lock — CS2 Stats
76561198098314721[U:1:138048993]✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 63.6% | 42.2% | 42.7% | above |
| Shot accuracy | 17.5% | 11.9% | 10.8% | above |
| Kill/death ratio | 0.93 | 0.98 | 1.00 | 0.07 short |
| Match win rate | 41.5% | 43.6% | 44.1% | 2.6% short |
This profile matches the typical Level 4 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 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 · -0.02 avg rating
Player DNA
Primary style: Passive 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 NiKo 71% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower opening-duel success; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 660ms 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 4.6/10 (Developing), 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 |
|---|---|---|---|---|---|
 mirage | C | 24 | 10–14 | 42% | 0.01 |
 cache | B | 22 | 11–11 | 50% | 0.02 |
 dust2 | D | 15 | 5–10 | 33% | 0.00 |
 ancient | C | 11 | 4–7 | 36% | -0.00 |
 inferno | A | 8 | 5–3 | 63% | 0.04 |
 anubis | B | 6 | 3–3 | 50% | 0.03 |
 overpass | B | 6 | 3–3 | 50% | 0.02 |
 nuke | C | 5 | 2–3 | 40% | -0.01 |
 train | — | 3 | 0–3 | 0% | 0.00 |
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 resultsWLLWL
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 0.0993 — 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 33.0489% — 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 | |
|---|---|---|---|---|---|
| anubis | 4–13 | 0.07 | 14% | 13 Aug → | |
| ancient | 13–6 | -0.02 | 30% | 13 Aug → | |
| cache | 13–10 | 0.04 | 29% | 13 Aug → | |
| mirage | 5–13 | -0.02 | 33% | 13 Aug → | |
| cache | 13–5 | -0.03 | 42% | 5 Aug → | |
| nuke | 9–13 | -0.01 | 59% | 5 Aug → | |
| cache | 8–13 | -0.03 | 43% | 31 Jul → | |
| nuke | 10–13 | -0.00 | 44% | 30 Jul → | |
| dust2 | 10–13 | 0.03 | 41% | 30 Jul → | |
| dust2 | 9–13 | -0.09 | 26% | 29 Jul → | |
| cache | 13–11 | 0.01 | 43% | 29 Jul → | |
| anubis | 13–4 | 0.03 | 30% | 28 Jul → | |
| anubis | 13–9 | 0.05 | 21% | 28 Jul → | |
| nuke | 13–5 | 0.03 | 28% | 26 Jul → | |
| ancient | 13–3 | 0.11 | 36% | 26 Jul → | |
| nuke | 7–13 | -0.06 | 29% | 26 Jul → | |
| mirage | 8–13 | 0.03 | 25% | 26 Jul → | |
| inferno | 13–7 | 0.04 | 35% | 26 Jul → | |
| mirage | 10–13 | -0.07 | 22% | 26 Jul → | |
| ancient | 7–13 | -0.04 | 29% | 24 Jul → | |
| anubis | 7–13 | -0.03 | 22% | 24 Jul → | |
| cache | 13–11 | 0.01 | 40% | 21 Jul → | |
| mirage | 13–10 | 0.02 | 24% | 21 Jul → | |
| inferno | 13–3 | 0.21 | 36% | 21 Jul → | |
| ancient | 8–13 | 0.04 | 41% | 21 Jul → | |
| cache | 12–16 | 0.03 | 21% | 20 Jul → | |
| anubis | 13–7 | 0.07 | 21% | 20 Jul → | |
| dust2 | 7–13 | 0.02 | 29% | 20 Jul → | |
| dust2 | 13–8 | 0.04 | 33% | 20 Jul → | |
| ancient | 11–13 | -0.03 | 35% | 20 Jul → | |
| cache | 6–13 | -0.07 | 25% | 18 Jul → | |
| dust2 | 13–9 | 0.06 | 37% | 18 Jul → | |
| cache | 13–1 | 0.08 | 44% | 18 Jul → | |
| cache | 12–16 | 0.05 | 40% | 17 Jul → | |
| cache | 13–6 | 0.00 | 48% | 17 Jul → | |
| mirage | 13–5 | 0.01 | 25% | 17 Jul → | |
| cache | 5–13 | -0.01 | 40% | 17 Jul → | |
| inferno | 13–5 | 0.11 | 33% | 15 Jul → | |
| ancient | 8–13 | -0.12 | 41% | 15 Jul → | |
| dust2 | 13–16 | 0.04 | 28% | 15 Jul → | |
| ancient | 13–8 | 0.01 | 24% | 27 Jun → | |
| inferno | 11–13 | 0.01 | 40% | 27 Jun → | |
| inferno | 13–5 | 0.00 | 21% | 27 Jun → | |
| overpass | 13–4 | 0.00 | 30% | 25 Jun → | |
| inferno | 16–12 | -0.02 | 31% | 25 Jun → | |
| overpass | 13–3 | 0.03 | 30% | 23 Jun → | |
| overpass | 8–13 | -0.00 | 36% | 22 Jun → | |
| overpass | 13–3 | 0.11 | 40% | 22 Jun → | |
| mirage | 9–13 | -0.03 | 16% | 21 Jun → | |
| mirage | 12–12 | 0.03 | 42% | 15 Jun → | |
| overpass | 11–13 | 0.02 | 35% | 15 Jun → | |
| cache | 5–13 | 0.02 | 36% | 15 Jun → | |
| mirage | 7–13 | 0.01 | 42% | 14 Jun → | |
| cache | 3–13 | -0.08 | 27% | 14 Jun → | |
| cache | 13–9 | 0.09 | 51% | 14 Jun → | |
| dust2 | 10–13 | -0.03 | 34% | 14 Jun → | |
| cache | 4–13 | 0.04 | 19% | 12 Jun → | |
| cache | 13–8 | 0.03 | 30% | 12 Jun → | |
| cache | 9–13 | -0.03 | 22% | 12 Jun → | |
| cache | 13–7 | 0.10 | 47% | 11 Jun → | |
| cache | 13–5 | 0.02 | 37% | 11 Jun → | |
| cache | 12–12 | 0.09 | 44% | 11 Jun → | |
| cache | 12–12 | 0.05 | 37% | 11 Jun → | |
| cache | 10–3 | 0.02 | 35% | 9 Jun → | |
| mirage | 4–13 | -0.02 | 37% | 2 Apr → | |
| nuke | 13–2 | -0.03 | 16% | 27 Mar → | |
| mirage | 13–8 | -0.03 | 19% | 27 Mar → | |
| mirage | 1–8 | -0.07 | 33% | 27 Mar → | |
| mirage | 1–13 | -0.13 | 32% | 26 Mar → | |
| mirage | 13–1 | 0.16 | 33% | 26 Mar → | |
| mirage | 13–10 | 0.11 | 29% | 26 Mar → | |
| dust2 | 1–10 | -0.05 | 33% | 26 Mar → | |
| overpass | 5–13 | -0.01 | 24% | 24 Mar → | |
| dust2 | 6–13 | 0.02 | 27% | 24 Mar → | |
| mirage | 13–8 | 0.05 | 37% | 23 Mar → | |
| dust2 | 12–1 | 0.05 | 42% | 22 Mar → | |
| dust2 | 8–13 | -0.06 | 40% | 21 Mar → | |
| dust2 | 9–13 | 0.02 | 40% | 25 Nov → | |
| inferno | 10–13 | -0.01 | 18% | 21 Jun → | |
| ancient | 11–13 | 0.00 | 32% | 21 Jun → | |
| ancient | 14–16 | 0.04 | 19% | 2 Jun → | |
| inferno | 0–8 | -0.07 | 20% | 2 Jun → | |
| mirage | 4–13 | -0.01 | 25% | 2 Jun → | |
| dust2 | 3–13 | 0.02 | 22% | 31 May → | |
| train | 14–16 | 0.05 | 19% | 31 May → | |
| mirage | 10–13 | -0.02 | 19% | 31 May → | |
| mirage | 10–13 | 0.00 | 21% | 29 May → | |
| mirage | 9–2 | 0.04 | 14% | 29 May → | |
| dust2 | 13–11 | -0.00 | 40% | 29 May → | |
| mirage | 11–13 | 0.02 | 38% | 29 May → | |
| ancient | 4–13 | -0.03 | 33% | 29 May → | |
| mirage | 13–6 | 0.05 | 24% | 29 May → | |
| dust2 | 13–10 | -0.02 | 50% | 29 May → | |
| ancient | 13–11 | 0.02 | 40% | 29 May → | |
| train | 6–13 | -0.06 | 29% | 29 May → | |
| mirage | 13–11 | 0.04 | 20% | 28 May → | |
| train | 11–13 | 0.01 | 15% | 28 May → | |
| anubis | 7–13 | -0.01 | 24% | 28 May → | |
| mirage | 13–6 | 0.01 | 34% | 28 May → | |
| mirage | 14–16 | 0.11 | 26% | 27 May → |
Match data via Leetify.
