egoist — CS2 Stats
76561198148901855[U:1:188636127]
Rating over time
Faceit ELO
- At peak — 1,520
- Next: Level 8 at 1,531 — 11 to go
- Reached: Level 7 · Level 6 · Level 5 · Level 4
- Level 7 first seen 2026-08-28
- Level 6 first seen 2026-08-28
Premier CS Rating
- At peak — 22,678
- Next: Red band at 25,000 — 2,322 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 jL 96% playstyle similarity
Most alike: opening-duel success, 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 87 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 562ms 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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 23 | 11–12 | 48% | 0.00 | |
| B | 23 | 12–11 | 52% | 0.01 | |
| B | 21 | 11–10 | 52% | 0.01 | |
| D | 15 | 5–10 | 33% | -0.01 | |
| C | 9 | 4–5 | 44% | 0.05 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 2 | 0–2 | 0% | 0.00 | |
| — | 2 | 0–2 | 0% | -0.03 | |
| — | 1 | 0–1 | 0% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 15). 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 21 | 86% | 1.59 | 19.9 |
| Dust2 | 13 | 69% | 1.45 | 20.1 |
| Ancient | 6 | 100% | 1.54 | 18.0 |
| Train | 3 | 100% | 2.90 | 23.7 |
| Anubis | 3 | 33% | 1.28 | 21.0 |
| Nuke | 3 | 67% | 1.48 | 15.0 |
| Inferno | 2 | 50% | 1.72 | 17.0 |
| Overpass | 1 | 100% | 1.12 | 18.0 |
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 36.6749% — 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 | |
|---|---|---|---|---|---|
| 7–13 | -0.01 | 24% | 16 Aug → | ||
| 15–15 | -0.02 | 28% | 16 Aug → | ||
| 6–13 | -0.02 | 15% | 15 Aug → | ||
| 13–3 | 0.01 | 21% | 15 Aug → | ||
| 11–13 | 0.02 | 19% | 15 Aug → | ||
| 7–13 | 0.04 | 23% | 14 Aug → | ||
| 13–9 | 0.02 | 31% | 13 Aug → | ||
| 8–13 | 0.05 | 18% | 13 Aug → | ||
| 13–7 | 0.04 | 20% | 7 Aug → | ||
| 0–3 | -0.03 | 0% | 7 Aug → | ||
| 13–4 | 0.05 | 13% | 5 Aug → | ||
| 5–13 | -0.10 | 18% | 5 Aug → | ||
| 10–13 | 0.00 | 16% | 2 Aug → | ||
| 13–4 | 0.01 | 20% | 2 Aug → | ||
| 16–14 | -0.00 | 23% | 1 Aug → | ||
| 13–6 | 0.04 | 12% | 31 Jul → | ||
| 11–13 | 0.03 | 22% | 31 Jul → | ||
| 13–10 | -0.01 | 29% | 31 Jul → | ||
| 10–13 | 0.05 | 26% | 30 Jul → | ||
| 7–13 | -0.06 | 9% | 30 Jul → | ||
| 13–7 | -0.00 | 16% | 25 Jul → | ||
| 13–9 | -0.04 | 13% | 25 Jul → | ||
| 11–13 | -0.05 | 26% | 24 Jul → | ||
| 6–0 | 0.10 | 30% | 24 Jul → | ||
| 9–13 | 0.02 | 16% | 23 Jul → | ||
| 13–16 | 0.00 | 19% | 22 Jul → | ||
| 11–13 | -0.02 | 23% | 22 Jul → | ||
| 13–6 | 0.04 | 21% | 22 Jul → | ||
| 10–13 | 0.04 | 41% | 20 Jul → | ||
| 13–8 | 0.15 | 24% | 20 Jul → | ||
| 16–14 | -0.02 | 17% | 19 Jul → | ||
| 13–9 | 0.02 | 27% | 19 Jul → | ||
| 7–13 | -0.02 | 24% | 19 Jul → | ||
| 9–13 | -0.04 | 15% | 19 Jul → | ||
| 13–2 | 0.04 | 15% | 19 Jul → | ||
| 13–9 | 0.00 | 14% | 18 Jul → | ||
| 13–2 | 0.08 | 24% | 18 Jul → | ||
| 13–9 | 0.03 | 23% | 18 Jul → | ||
| 8–13 | -0.06 | 14% | 18 Jul → | ||
| 10–13 | -0.01 | 10% | 14 Jul → | ||
| 7–13 | -0.03 | 13% | 14 Jul → | ||
| 11–13 | -0.00 | 33% | 10 Jul → | ||
| 11–13 | 0.01 | 18% | 10 Jul → | ||
| 13–3 | 0.06 | 28% | 10 Jul → | ||
| 13–4 | 0.05 | 28% | 10 Jul → | ||
| 7–13 | 0.02 | 24% | 8 Jul → | ||
| 7–13 | -0.02 | 27% | 7 Jul → | ||
| 13–11 | -0.03 | 14% | 7 Jul → | ||
| 4–13 | 0.05 | 22% | 4 Jul → | ||
| 13–1 | 0.05 | 24% | 4 Jul → | ||
| 16–12 | 0.00 | 14% | 2 Jul → | ||
| 13–6 | 0.01 | 29% | 22 Jun → | ||
| 12–12 | 0.04 | 17% | 22 Jun → | ||
| 13–4 | -0.02 | 15% | 22 Jun → | ||
| 4–5 | 0.03 | 29% | 24 May → | ||
| 12–12 | 0.01 | 28% | 20 May → | ||
| 13–9 | 0.06 | 19% | 20 May → | ||
| 12–12 | 0.03 | 33% | 3 May → | ||
| 13–7 | 0.03 | 29% | 3 May → | ||
| 13–5 | 0.02 | 25% | 3 May → | ||
| 13–11 | -0.03 | 25% | 2 May → | ||
| 13–9 | -0.02 | 18% | 1 May → | ||
| 10–13 | 0.03 | 22% | 1 May → | ||
| 4–13 | -0.09 | 38% | 25 Apr → | ||
| 4–13 | -0.05 | 14% | 25 Apr → | ||
| 11–13 | 0.07 | 26% | 25 Apr → | ||
| 10–13 | -0.01 | 12% | 23 Apr → | ||
| 4–13 | -0.05 | 18% | 22 Apr → | ||
| 13–8 | 0.02 | 13% | 22 Apr → | ||
| 13–8 | 0.04 | 18% | 22 Apr → | ||
| 7–13 | -0.02 | 29% | 21 Apr → | ||
| 16–13 | 0.08 | 18% | 21 Apr → | ||
| 10–13 | -0.03 | 20% | 21 Apr → | ||
| 2–13 | -0.03 | 33% | 21 Apr → | ||
| 13–3 | -0.01 | 19% | 21 Apr → | ||
| 10–13 | 0.12 | 28% | 19 Apr → | ||
| 12–12 | 0.07 | 28% | 19 Apr → | ||
| 13–6 | 0.02 | 20% | 18 Apr → | ||
| 11–13 | 0.01 | 38% | 18 Apr → | ||
| 3–9 | -0.09 | 23% | 17 Apr → | ||
| 5–9 | 0.04 | 16% | 17 Apr → | ||
| 4–9 | -0.12 | 38% | 17 Apr → | ||
| 12–12 | 0.10 | 11% | 14 Apr → | ||
| 3–13 | 0.06 | 31% | 13 Apr → | ||
| 13–7 | 0.03 | 43% | 8 Apr → | ||
| 3–13 | -0.04 | 22% | 8 Apr → | ||
| 4–13 | -0.07 | 13% | 7 Apr → | ||
| 15–15 | -0.01 | 29% | 7 Apr → | ||
| 11–13 | -0.04 | 20% | 6 Apr → | ||
| 13–6 | -0.01 | 30% | 6 Apr → | ||
| 13–11 | 0.02 | 21% | 6 Apr → | ||
| 12–12 | -0.02 | 23% | 5 Apr → | ||
| 16–14 | -0.02 | 8% | 5 Apr → | ||
| 16–13 | -0.06 | 21% | 1 Apr → | ||
| 13–10 | 0.03 | 23% | 28 Mar → | ||
| 13–8 | 0.01 | 22% | 28 Mar → | ||
| 10–13 | 0.01 | 31% | 27 Mar → | ||
| 12–12 | 0.03 | 28% | 27 Mar → | ||
| 13–8 | 0.04 | 27% | 27 Mar → | ||
| 15–15 | -0.03 | 20% | 27 Mar → |
Match data via Leetify.
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