★Nemesis — CS2 Stats
IL76561199041106554[U:1:1080840826]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 42.4% | 47.0% | 48.5% | 6.2% short |
| Shot accuracy | 20.6% | 12.7% | 13.3% | above |
| Kill/death ratio | 1.11 | 1.07 | 1.07 | above |
| Match win rate | 45.8% | 46.4% | 47.0% | 1.2% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 9 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: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafing
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 s1mple 95% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
Aim. Aim score of 97 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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. 593ms 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 7.7/10 (Strong), 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 |
|---|---|---|---|---|---|
 dust2 | B | 39 | 20–19 | 51% | 0.03 |
 mirage | B | 24 | 12–12 | 50% | 0.03 |
 inferno | D | 17 | 4–13 | 24% | 0.02 |
 ancient | S | 5 | 4–1 | 80% | 0.04 |
 train | A | 5 | 3–2 | 60% | 0.01 |
 cache | — | 4 | 2–2 | 50% | 0.02 |
 anubis | — | 3 | 1–2 | 33% | -0.02 |
 nuke | — | 2 | 0–2 | 0% | -0.04 |
 overpass | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Inferno 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 70 | 47% | 1.27 | 17.2 |
| Dust2 | 61 | 61% | 1.58 | 20.7 |
| Ancient | 27 | 63% | 1.36 | 19.0 |
| Inferno | 20 | 50% | 1.40 | 19.3 |
| Anubis | 11 | 45% | 0.99 | 12.0 |
| Nuke | 9 | 67% | 1.14 | 16.3 |
| Cache | 7 | 57% | 1.31 | 19.3 |
| Vertigo | 2 | 50% | 1.03 | 23.5 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–5 | 0.01 | 48% | 28 Aug → | |
| mirage | 13–4 | 0.05 | 38% | 19 Aug → | |
| dust2 | 10–13 | 0.01 | 33% | 17 Aug → | |
| cache | 13–7 | 0.03 | 37% | 16 Aug → | |
| mirage | 7–13 | -0.01 | 23% | 16 Aug → | |
| dust2 | 13–11 | 0.02 | 31% | 15 Aug → | |
| dust2 | 13–3 | 0.04 | 42% | 12 Aug → | |
| mirage | 10–13 | 0.07 | 20% | 8 Aug → | |
| mirage | 13–8 | 0.00 | 40% | 8 Aug → | |
| inferno | 3–13 | -0.01 | 38% | 7 Aug → | |
| inferno | 9–13 | 0.04 | 47% | 3 Aug → | |
| dust2 | 8–13 | 0.00 | 36% | 1 Aug → | |
| mirage | 7–13 | -0.04 | 33% | 27 Jul → | |
| anubis | 13–8 | -0.00 | 25% | 26 Jul → | |
| dust2 | 13–11 | 0.02 | 23% | 26 Jul → | |
| dust2 | 13–6 | 0.10 | 28% | 18 Jul → | |
| dust2 | 8–13 | 0.06 | 22% | 15 Jul → | |
| dust2 | 13–4 | 0.01 | 29% | 15 Jul → | |
| anubis | 6–13 | 0.01 | 28% | 13 Jul → | |
| dust2 | 13–6 | 0.03 | 33% | 13 Jul → | |
| dust2 | 13–11 | 0.02 | 43% | 13 Jul → | |
| dust2 | 12–16 | 0.05 | 18% | 12 Jul → | |
| inferno | 13–10 | 0.06 | 26% | 12 Jul → | |
| cache | 9–13 | 0.07 | 27% | 11 Jul → | |
| dust2 | 6–13 | 0.00 | 32% | 11 Jul → | |
| mirage | 13–6 | 0.12 | 19% | 11 Jul → | |
| inferno | 10–13 | -0.04 | 15% | 11 Jul → | |
| dust2 | 13–7 | 0.07 | 32% | 10 Jul → | |
| dust2 | 13–1 | 0.09 | 43% | 10 Jul → | |
| mirage | 8–13 | -0.03 | 25% | 10 Jul → | |
| cache | 16–13 | -0.02 | 15% | 10 Jul → | |
| dust2 | 10–13 | 0.03 | 33% | 8 Jul → | |
| mirage | 9–13 | 0.00 | 19% | 3 Jul → | |
| inferno | 6–13 | 0.01 | 52% | 1 Jul → | |
| mirage | 4–13 | 0.01 | 32% | 30 Jun → | |
| mirage | 13–2 | 0.11 | 40% | 30 Jun → | |
| dust2 | 13–2 | 0.13 | 21% | 29 Jun → | |
| anubis | 6–13 | -0.06 | 38% | 27 Jun → | |
| inferno | 11–13 | 0.01 | 31% | 27 Jun → | |
| dust2 | 10–13 | 0.02 | 46% | 27 Jun → | |
| mirage | 13–5 | 0.04 | 28% | 26 Jun → | |
| inferno | 15–15 | 0.08 | 22% | 26 Jun → | |
| ancient | 13–5 | 0.06 | 27% | 26 Jun → | |
| inferno | 6–13 | 0.06 | 55% | 26 Jun → | |
| ancient | 13–10 | 0.05 | 21% | 20 Jun → | |
| mirage | 5–13 | 0.02 | 47% | 19 Jun → | |
| dust2 | 13–5 | -0.00 | 36% | 16 Jun → | |
| mirage | 13–10 | 0.12 | 24% | 16 Jun → | |
| mirage | 14–16 | -0.01 | 26% | 15 Jun → | |
| mirage | 8–13 | -0.01 | 25% | 15 Jun → | |
| inferno | 13–10 | 0.01 | 54% | 15 Jun → | |
| dust2 | 13–7 | 0.03 | 26% | 15 Jun → | |
| dust2 | 13–6 | 0.11 | 32% | 14 Jun → | |
| dust2 | 1–13 | -0.02 | 27% | 13 Jun → | |
| dust2 | 13–7 | 0.03 | 31% | 13 Jun → | |
| inferno | 13–8 | 0.14 | 27% | 12 Jun → | |
| mirage | 13–9 | 0.05 | 17% | 12 Jun → | |
| inferno | 11–13 | 0.02 | 36% | 9 Jun → | |
| nuke | 8–13 | -0.03 | 18% | 5 Jun → | |
| ancient | 16–13 | 0.16 | 32% | 4 Jun → | |
| dust2 | 7–13 | 0.07 | 61% | 29 May → | |
| dust2 | 14–16 | -0.03 | 38% | 25 May → | |
| dust2 | 13–8 | 0.02 | 37% | 25 May → | |
| cache | 7–13 | 0.01 | 33% | 1 May → | |
| mirage | 12–12 | 0.04 | 37% | 27 Apr → | |
| dust2 | 5–13 | 0.06 | 54% | 20 Apr → | |
| mirage | 7–4 | 0.01 | 27% | 19 Apr → | |
| dust2 | 3–13 | 0.06 | 54% | 19 Apr → | |
| dust2 | 15–15 | -0.02 | 14% | 18 Jan → | |
| ancient | 16–13 | -0.03 | 13% | 16 Jan → | |
| inferno | 6–13 | -0.02 | 39% | 16 Jan → | |
| inferno | 7–13 | -0.04 | 41% | 15 Nov → | |
| inferno | 6–13 | -0.06 | 30% | 15 Nov → | |
| ancient | 15–15 | -0.01 | 15% | 3 Nov → | |
| train | 14–16 | 0.01 | 28% | 20 Oct → | |
| train | 1–9 | -0.07 | 0% | 20 Oct → | |
| inferno | 9–13 | 0.00 | 18% | 20 Oct → | |
| mirage | 11–13 | 0.01 | 14% | 19 Oct → | |
| mirage | 13–6 | 0.05 | 24% | 17 Oct → | |
| dust2 | 16–14 | 0.02 | 30% | 15 Oct → | |
| train | 13–11 | -0.01 | 16% | 15 Oct → | |
| dust2 | 10–13 | -0.02 | 21% | 15 Oct → | |
| dust2 | 13–9 | 0.03 | 20% | 14 Oct → | |
| dust2 | 13–10 | 0.05 | 26% | 14 Oct → | |
| nuke | 4–13 | -0.04 | 38% | 14 Oct → | |
| mirage | 13–5 | 0.09 | 19% | 12 Oct → | |
| mirage | 13–9 | 0.08 | 26% | 12 Oct → | |
| mirage | 13–4 | 0.07 | 26% | 12 Oct → | |
| dust2 | 10–13 | -0.01 | 29% | 11 Oct → | |
| dust2 | 2–13 | -0.04 | 33% | 11 Oct → | |
| train | 13–8 | 0.06 | 8% | 11 Oct → | |
| train | 16–14 | 0.06 | 39% | 11 Oct → | |
| dust2 | 0–13 | -0.02 | 44% | 8 Oct → | |
| overpass | 13–8 | 0.07 | 20% | 8 Oct → | |
| dust2 | 2–13 | -0.01 | 30% | 8 Oct → | |
| dust2 | 13–7 | 0.07 | 17% | 7 Oct → | |
| mirage | 14–16 | 0.02 | 17% | 7 Oct → | |
| inferno | 0–3 | 0.01 | 14% | 7 Oct → | |
| inferno | 13–1 | 0.10 | 38% | 7 Oct → | |
| dust2 | 10–13 | 0.11 | 33% | 6 Oct → |
Match data via Leetify.
