Emerald — CS2 Stats
76561198044601695[U:1:84335967]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=7,415), 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 10 median |
|---|---|---|
| Headshot rate | 48.5% | 51.7% |
| Shot accuracy | 18.9% | 13.8% |
| Kill/death ratio | 0.92 | 1.09 |
| Match win rate | 59.5% | 48.7% |
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerStrong CT-side opener
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 Twistzz 93% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 43% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 565ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 24 | 11–13 | 46% | -0.01 |
 inferno | B | 19 | 10–9 | 53% | 0.01 |
 anubis | C | 16 | 7–9 | 44% | -0.01 |
 nuke | B | 14 | 7–7 | 50% | 0.00 |
 ancient | C | 9 | 4–5 | 44% | 0.00 |
 mirage | S | 6 | 4–2 | 67% | -0.01 |
 overpass | S | 6 | 4–2 | 67% | 0.01 |
 cache | — | 2 | 0–2 | 0% | 0.09 |
 train | — | 2 | 0–2 | 0% | -0.02 |
| agency | — | 1 | 0–1 | 0% | -0.01 |
| grail | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Anubis 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 269 | 55% | 1.04 | 14.4 |
| Inferno | 192 | 56% | 1.15 | 14.4 |
| Mirage | 176 | 51% | 1.02 | 14.0 |
| Dust2 | 166 | 49% | 1.00 | 14.6 |
| Nuke | 155 | 59% | 1.06 | 15.3 |
| Ancient | 144 | 49% | 1.05 | 14.1 |
| Vertigo | 49 | 45% | 1.05 | 16.2 |
| Overpass | 49 | 47% | 1.00 | 14.7 |
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 27.6628% — 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.
44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 8–13 | 0.15 | 27% | 27 Aug → | |
| inferno | 9–13 | 0.02 | 33% | 19 Aug → | |
| cache | 3–13 | 0.02 | 26% | 15 Aug → | |
| nuke | 10–13 | -0.04 | 15% | 13 Aug → | |
| ancient | 8–13 | -0.05 | 27% | 12 Aug → | |
| anubis | 8–13 | 0.00 | 20% | 11 Aug → | |
| nuke | 13–7 | -0.00 | 18% | 10 Aug → | |
| inferno | 13–8 | 0.03 | 22% | 9 Aug → | |
| mirage | 11–13 | -0.08 | 12% | 5 Aug → | |
| anubis | 8–13 | -0.06 | 8% | 22 Jul → | |
| ancient | 13–9 | 0.01 | 22% | 20 Jul → | |
| anubis | 13–5 | 0.08 | 38% | 4 Jul → | |
| nuke | 9–13 | 0.01 | 24% | 19 May → | |
| nuke | 16–13 | 0.07 | 39% | 19 May → | |
| ancient | 13–1 | 0.12 | 28% | 15 May → | |
| dust2 | 2–13 | -0.02 | 42% | 11 May → | |
| dust2 | 2–13 | -0.04 | 33% | 6 May → | |
| anubis | 11–13 | -0.06 | 19% | 6 May → | |
| nuke | 13–11 | -0.00 | 33% | 5 May → | |
| dust2 | 4–13 | -0.05 | 21% | 28 Apr → | |
| dust2 | 13–8 | 0.01 | 35% | 24 Apr → | |
| dust2 | 13–4 | 0.08 | 21% | 21 Apr → | |
| nuke | 9–13 | -0.02 | 50% | 18 Apr → | |
| dust2 | 4–13 | -0.02 | 36% | 13 Apr → | |
| overpass | 9–13 | -0.04 | 29% | 8 Apr → | |
| anubis | 19–17 | 0.02 | 11% | 6 Apr → | |
| dust2 | 13–10 | -0.00 | 34% | 1 Apr → | |
| nuke | 4–13 | -0.01 | 14% | 26 Mar → | |
| nuke | 13–10 | -0.02 | 21% | 26 Mar → | |
| anubis | 8–13 | -0.04 | 17% | 26 Mar → | |
| nuke | 13–11 | 0.01 | 19% | 25 Mar → | |
| overpass | 6–13 | 0.01 | 28% | 25 Mar → | |
| nuke | 13–11 | -0.04 | 26% | 24 Mar → | |
| anubis | 7–13 | -0.05 | 19% | 24 Mar → | |
| overpass | 13–10 | -0.03 | 17% | 24 Mar → | |
| inferno | 13–11 | -0.05 | 24% | 14 Mar → | |
| anubis | 7–4 | -0.04 | 23% | 12 Mar → | |
| dust2 | 13–5 | 0.02 | 21% | 7 Mar → | |
| dust2 | 10–13 | -0.03 | 8% | 24 Feb → | |
| nuke | 14–16 | 0.01 | 23% | 19 Feb → | |
| inferno | 14–16 | 0.02 | 33% | 11 Feb → | |
| nuke | 5–13 | 0.01 | 46% | 11 Feb → | |
| dust2 | 13–3 | 0.08 | 56% | 11 Feb → | |
| dust2 | 11–13 | 0.02 | 13% | 5 Feb → | |
| anubis | 9–13 | -0.03 | 22% | 29 Jan → | |
| inferno | 13–11 | 0.07 | 19% | 22 Jan → | |
| inferno | 10–13 | -0.00 | 31% | 19 Jan → | |
| mirage | 13–8 | -0.01 | 20% | 17 Jan → | |
| ancient | 13–11 | 0.01 | 20% | 7 Jan → | |
| inferno | 7–13 | 0.01 | 24% | 6 Jan → | |
| inferno | 4–13 | 0.02 | 21% | 29 Oct → | |
| inferno | 5–13 | -0.01 | 18% | 12 Oct → | |
| dust2 | 9–13 | -0.02 | 21% | 4 Oct → | |
| overpass | 13–4 | 0.12 | 23% | 4 Oct → | |
| nuke | 15–15 | 0.06 | 44% | 1 Oct → | |
| dust2 | 16–12 | 0.01 | 33% | 1 Oct → | |
| overpass | 16–14 | 0.03 | 10% | 30 Sept → | |
| inferno | 11–13 | -0.01 | 25% | 30 Sept → | |
| inferno | 7–13 | -0.02 | 36% | 3 Sept → | |
| train | 9–13 | 0.02 | 35% | 3 Sept → | |
| overpass | 13–8 | -0.06 | 12% | 3 Sept → | |
| dust2 | 11–13 | -0.03 | 11% | 22 Jul → | |
| ancient | 4–13 | -0.07 | 10% | 12 Jul → | |
| anubis | 16–14 | -0.01 | 19% | 12 Jul → | |
| inferno | 19–16 | -0.00 | 23% | 12 Jul → | |
| ancient | 10–13 | 0.05 | 14% | 11 Jul → | |
| anubis | 16–12 | -0.03 | 21% | 11 Jul → | |
| mirage | 13–9 | 0.00 | 20% | 11 Jul → | |
| inferno | 13–5 | 0.03 | 24% | 10 Jul → | |
| dust2 | 13–8 | -0.00 | 34% | 10 Jul → | |
| anubis | 13–7 | 0.06 | 15% | 9 Jul → | |
| inferno | 13–5 | 0.07 | 26% | 9 Jul → | |
| mirage | 13–4 | 0.03 | 22% | 28 Jun → | |
| mirage | 2–13 | -0.02 | 13% | 23 Jun → | |
| agency | 9–13 | -0.01 | 25% | 15 Jun → | |
| anubis | 11–13 | -0.05 | 11% | 15 Jun → | |
| ancient | 10–13 | -0.05 | 27% | 15 Jun → | |
| dust2 | 15–13 | -0.03 | 33% | 15 Jun → | |
| inferno | 11–13 | 0.05 | 18% | 14 Jun → | |
| dust2 | 8–13 | -0.06 | 14% | 14 Jun → | |
| mirage | 13–8 | 0.01 | 31% | 14 Jun → | |
| ancient | 13–5 | 0.04 | 10% | 13 Jun → | |
| dust2 | 13–0 | -0.00 | 12% | 13 Jun → | |
| nuke | 13–8 | -0.05 | 11% | 28 May → | |
| dust2 | 5–13 | -0.10 | 16% | 24 May → | |
| ancient | 9–13 | -0.02 | 16% | 24 May → | |
| inferno | 13–9 | 0.03 | 30% | 23 May → | |
| dust2 | 13–9 | -0.05 | 14% | 23 May → | |
| inferno | 13–4 | 0.01 | 6% | 23 May → | |
| anubis | 10–13 | -0.04 | 18% | 22 May → | |
| inferno | 13–3 | 0.01 | 16% | 16 May → | |
| inferno | 13–0 | -0.01 | 15% | 16 May → | |
| anubis | 11–13 | -0.01 | 26% | 16 May → | |
| dust2 | 13–0 | 0.01 | 21% | 15 May → | |
| train | 0–13 | -0.05 | 30% | 15 May → | |
| grail | 13–7 | -0.02 | 20% | 12 May → | |
| dust2 | 10–13 | -0.04 | 34% | 6 May → | |
| anubis | 13–2 | 0.03 | 22% | 4 May → | |
| dust2 | 13–16 | 0.00 | 22% | 4 May → | |
| dust2 | 12–12 | 0.05 | 30% | 26 Apr → |
Match data via Leetify.
