egg — CS2 Stats
US76561198027574752[U:1:67309024]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 | 54.1% | 44.0% | 44.7% | above |
| Shot accuracy | 6.1% | 11.6% | 11.9% | 5.8% short |
| Kill/death ratio | 1.31 | 1.03 | 1.04 | above |
| Match win rate | 41.2% | 45.1% | 45.2% | 4.0% short |
This profile matches the typical Level 6 player on 2 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: -30pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 ropz 88% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: higher opening-fight frequency; 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
T-side openings. Opening success drops from 57% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 641ms 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 5.7/10 (Solid), 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 |
|---|---|---|---|---|---|
 cache | S | 24 | 17–7 | 71% | 0.04 |
 nuke | D | 15 | 5–10 | 33% | -0.01 |
 train | A | 12 | 7–5 | 58% | 0.01 |
 ancient | D | 11 | 2–9 | 18% | -0.01 |
 inferno | D | 9 | 3–6 | 33% | 0.02 |
 dust2 | C | 7 | 3–4 | 43% | 0.01 |
 mirage | D | 6 | 2–4 | 33% | -0.01 |
 anubis | A | 5 | 3–2 | 60% | -0.01 |
 overpass | A | 5 | 3–2 | 60% | 0.01 |
 vertigo | — | 3 | 1–2 | 33% | 0.02 |
| fachwerk | — | 1 | 0–1 | 0% | -0.00 |
| shelter | — | 1 | 1–0 | 100% | -0.03 |
| warden | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 5 | 40% | 1.02 | 14.4 |
| Overpass | 4 | 50% | 1.08 | 16.0 |
| Inferno | 3 | 33% | 2.20 | 19.0 |
| Nuke | 2 | 100% | 1.57 | 23.5 |
| Ancient | 2 | 50% | 1.30 | 20.0 |
| Anubis | 1 | 0% | 0.88 | 14.0 |
| Mirage | 1 | 0% | 1.38 | 22.0 |
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 38.5951% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 6–13 | -0.04 | 36% | 11 Aug → | |
| ancient | 8–13 | -0.05 | 12% | 21 Jul → | |
| inferno | 8–13 | -0.02 | 24% | 15 Jul → | |
| fachwerk | 1–13 | -0.00 | 29% | 10 Jul → | |
| shelter | 13–9 | -0.03 | 27% | 10 Jul → | |
| anubis | 13–10 | -0.04 | 33% | 9 Jul → | |
| nuke | 9–13 | -0.04 | 15% | 3 Jul → | |
| nuke | 10–13 | -0.02 | 17% | 3 Jul → | |
| nuke | 16–13 | 0.04 | 18% | 3 Jul → | |
| ancient | 10–13 | 0.03 | 59% | 25 Jun → | |
| mirage | 7–13 | -0.04 | 38% | 24 Jun → | |
| overpass | 10–13 | -0.01 | 16% | 23 Jun → | |
| inferno | 8–13 | 0.06 | 16% | 23 Jun → | |
| cache | 13–6 | 0.05 | 31% | 20 Jun → | |
| inferno | 13–3 | 0.01 | 28% | 16 Jun → | |
| anubis | 13–11 | 0.04 | 16% | 9 Jun → | |
| cache | 13–11 | 0.03 | 21% | 26 May → | |
| anubis | 13–5 | 0.06 | 24% | 26 May → | |
| train | 7–13 | -0.08 | 19% | 23 May → | |
| mirage | 13–11 | -0.00 | 24% | 22 May → | |
| nuke | 8–13 | -0.06 | 50% | 21 May → | |
| nuke | 4–13 | -0.08 | 26% | 21 May → | |
| vertigo | 11–2 | 0.02 | 18% | 21 May → | |
| cache | 13–2 | 0.01 | 33% | 19 May → | |
| cache | 13–11 | -0.02 | 15% | 10 May → | |
| cache | 13–4 | 0.10 | 25% | 10 May → | |
| nuke | 11–13 | -0.03 | 21% | 8 May → | |
| cache | 9–13 | 0.00 | 18% | 8 May → | |
| vertigo | 11–13 | 0.05 | 20% | 8 May → | |
| cache | 9–13 | 0.02 | 14% | 8 May → | |
| cache | 13–10 | 0.02 | 19% | 7 May → | |
| cache | 5–13 | 0.06 | 21% | 6 May → | |
| cache | 13–7 | 0.21 | 27% | 6 May → | |
| train | 13–4 | 0.06 | 57% | 5 May → | |
| cache | 13–4 | -0.01 | 43% | 5 May → | |
| vertigo | 9–13 | -0.02 | 34% | 4 May → | |
| dust2 | 6–13 | 0.08 | 42% | 4 May → | |
| cache | 13–4 | 0.03 | 30% | 3 May → | |
| cache | 13–5 | 0.04 | 25% | 3 May → | |
| cache | 12–12 | -0.01 | 39% | 3 May → | |
| train | 11–13 | -0.00 | 17% | 3 May → | |
| cache | 13–3 | 0.05 | 38% | 3 May → | |
| cache | 13–3 | 0.07 | 39% | 2 May → | |
| cache | 10–13 | 0.02 | 25% | 2 May → | |
| cache | 13–7 | -0.03 | 25% | 1 May → | |
| cache | 13–9 | 0.00 | 13% | 1 May → | |
| cache | 13–4 | -0.02 | 23% | 1 May → | |
| cache | 13–5 | 0.12 | 32% | 30 Apr → | |
| cache | 13–0 | 0.15 | 20% | 30 Apr → | |
| cache | 11–13 | -0.01 | 20% | 30 Apr → | |
| cache | 3–13 | 0.02 | 20% | 28 Apr → | |
| ancient | 8–13 | 0.03 | 28% | 28 Apr → | |
| overpass | 13–11 | 0.00 | 16% | 24 Apr → | |
| nuke | 13–11 | 0.00 | 15% | 22 Apr → | |
| train | 13–7 | 0.04 | 24% | 21 Apr → | |
| mirage | 5–13 | -0.06 | 17% | 14 Apr → | |
| inferno | 10–13 | 0.04 | 41% | 13 Apr → | |
| anubis | 7–13 | -0.06 | 11% | 8 Apr → | |
| nuke | 13–11 | 0.00 | 30% | 4 Apr → | |
| nuke | 13–10 | -0.02 | 26% | 2 Apr → | |
| ancient | 3–0 | 0.08 | 100% | 2 Apr → | |
| overpass | 5–13 | -0.01 | 35% | 1 Apr → | |
| nuke | 5–13 | -0.06 | 23% | 28 Mar → | |
| train | 13–11 | 0.02 | 33% | 20 Mar → | |
| train | 9–13 | -0.04 | 24% | 18 Mar → | |
| inferno | 13–7 | 0.08 | 19% | 17 Mar → | |
| train | 13–10 | 0.09 | 27% | 15 Mar → | |
| inferno | 11–13 | 0.06 | 23% | 14 Mar → | |
| warden | 3–13 | -0.04 | 45% | 13 Mar → | |
| mirage | 4–13 | 0.05 | 44% | 13 Mar → | |
| nuke | 5–13 | 0.04 | 21% | 12 Mar → | |
| mirage | 13–6 | 0.00 | 21% | 12 Mar → | |
| overpass | 16–12 | 0.05 | 14% | 11 Mar → | |
| ancient | 5–13 | 0.06 | 28% | 10 Mar → | |
| dust2 | 16–14 | 0.03 | 26% | 9 Mar → | |
| nuke | 8–13 | -0.03 | 18% | 9 Mar → | |
| inferno | 13–9 | 0.04 | 19% | 6 Mar → | |
| mirage | 9–13 | -0.04 | 16% | 5 Mar → | |
| anubis | 6–13 | -0.07 | 10% | 3 Mar → | |
| ancient | 4–13 | -0.01 | 16% | 2 Mar → | |
| nuke | 13–10 | 0.04 | 20% | 2 Mar → | |
| train | 10–13 | 0.04 | 42% | 12 Dec → | |
| inferno | 10–13 | -0.01 | 15% | 6 Dec → | |
| train | 13–9 | 0.01 | 18% | 6 Dec → | |
| nuke | 12–12 | -0.01 | 47% | 26 Nov → | |
| dust2 | 13–8 | -0.02 | 38% | 18 Nov → | |
| ancient | 3–13 | -0.09 | 23% | 6 Nov → | |
| dust2 | 13–10 | 0.07 | 35% | 3 Nov → | |
| ancient | 1–13 | -0.07 | 24% | 30 Oct → | |
| overpass | 13–10 | 0.03 | 30% | 28 Oct → | |
| train | 9–13 | 0.03 | 47% | 26 Oct → | |
| dust2 | 9–13 | -0.02 | 18% | 26 Oct → | |
| nuke | 10–13 | 0.03 | 26% | 24 Oct → | |
| inferno | 5–13 | -0.07 | 11% | 10 Oct → | |
| train | 13–5 | 0.02 | 25% | 10 Oct → | |
| dust2 | 2–13 | -0.00 | 25% | 10 Oct → | |
| dust2 | 7–13 | -0.03 | 50% | 8 Oct → | |
| ancient | 11–13 | -0.07 | 13% | 8 Oct → | |
| train | 13–5 | 0.00 | 19% | 8 Oct → | |
| ancient | 13–11 | 0.00 | 18% | 7 Oct → |
Match data via Leetify.
