sigmaboy666 — CS2 Stats
76561199129239984[U:1:1168974256]✓ No bans
Rating over time
Faceit ELO
- At peak — 2,990
- Next: 3,000 ELO at 3,000 — 10 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-08-28
- Level 10 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 · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent 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 donk 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 597ms 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 7.6/10 (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 |
|---|---|---|---|---|---|
| S | 35 | 26–9 | 74% | 0.01 | |
| S | 26 | 20–6 | 77% | -0.00 | |
| A | 18 | 10–8 | 56% | 0.01 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| A | 5 | 3–2 | 60% | -0.03 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.07 | |
| italy | — | 1 | 1–0 | 100% | 0.03 |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 930 | 56% | 1.12 | 17.0 |
| Ancient | 796 | 58% | 1.14 | 17.1 |
| Inferno | 499 | 55% | 1.09 | 17.1 |
| Dust2 | 284 | 48% | 1.01 | 16.1 |
| Anubis | 153 | 54% | 1.15 | 16.9 |
| Nuke | 146 | 47% | 1.00 | 15.9 |
| Overpass | 130 | 46% | 1.14 | 17.8 |
| Vertigo | 44 | 55% | 1.30 | 19.7 |
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
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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.02 | 28% | 28 Aug → | ||
| 13–4 | 0.03 | 26% | 22 Aug → | ||
| 13–16 | 0.01 | 25% | 21 Aug → | ||
| 13–9 | 0.02 | 17% | 20 Aug → | ||
| 13–10 | 0.00 | 36% | 9 Aug → | ||
| 11–13 | 0.04 | 26% | 3 Aug → | ||
| 8–13 | 0.00 | 25% | 1 Aug → | ||
| 13–4 | 0.02 | 50% | 28 Jul → | ||
| 22–18 | 0.04 | 28% | 27 Jul → | ||
| 13–8 | -0.00 | 27% | 26 Jul → | ||
| 13–9 | -0.03 | 30% | 21 Jul → | ||
| 13–11 | 0.00 | 28% | 2 Jul → | ||
| 13–6 | -0.05 | 23% | 29 Jun → | ||
| 13–4 | 0.12 | 36% | 24 Jun → | ||
| 13–16 | 0.02 | 21% | 22 Jun → | ||
| 13–4 | 0.02 | 23% | 20 Jun → | ||
| 13–9 | 0.05 | 22% | 16 Jun → | ||
| 13–6 | 0.05 | 33% | 13 Jun → | ||
| 11–13 | -0.01 | 23% | 13 Jun → | ||
| 16–12 | 0.07 | 30% | 13 Jun → | ||
| 13–8 | -0.04 | 13% | 12 Jun → | ||
| 13–8 | -0.03 | 20% | 12 Jun → | ||
| 9–13 | -0.05 | 41% | 12 Jun → | ||
| 13–5 | 0.03 | 29% | 12 Jun → | ||
| 13–8 | 0.03 | 23% | 12 Jun → | ||
| 25–23 | 0.03 | 27% | 10 Jun → | ||
| 13–11 | -0.02 | 28% | 27 May → | ||
| 13–9 | 0.04 | 23% | 25 May → | ||
| 6–13 | -0.08 | 19% | 25 May → | ||
| 16–13 | 0.00 | 17% | 24 May → | ||
| 6–13 | -0.03 | 45% | 16 May → | ||
| 13–11 | -0.04 | 35% | 28 Apr → | ||
| 9–13 | -0.02 | 29% | 26 Apr → | ||
| 16–12 | 0.04 | 24% | 26 Apr → | ||
| 15–19 | -0.07 | 25% | 24 Apr → | ||
| 13–11 | -0.02 | 19% | 23 Apr → | ||
| 13–9 | 0.00 | 37% | 18 Apr → | ||
| 13–8 | 0.00 | 29% | 11 Apr → | ||
| 10–13 | -0.02 | 29% | 11 Apr → | ||
| 13–11 | -0.05 | 17% | 11 Apr → | ||
| italy | 13–7 | 0.03 | 33% | 4 Apr → | |
| 10–13 | -0.06 | 14% | 4 Apr → | ||
| 5–13 | 0.03 | 38% | 4 Apr → | ||
| 13–11 | 0.03 | 23% | 31 Mar → | ||
| 13–9 | -0.02 | 25% | 31 Mar → | ||
| 16–14 | 0.02 | 39% | 29 Mar → | ||
| 13–5 | -0.01 | 65% | 29 Mar → | ||
| 13–7 | -0.04 | 21% | 28 Mar → | ||
| 13–6 | -0.06 | 17% | 22 Mar → | ||
| 13–9 | 0.01 | 30% | 22 Mar → | ||
| 13–4 | 0.01 | 33% | 7 Mar → | ||
| 13–8 | 0.05 | 30% | 4 Mar → | ||
| 8–13 | 0.03 | 27% | 3 Mar → | ||
| 13–8 | 0.05 | 25% | 27 Feb → | ||
| 19–16 | 0.00 | 21% | 27 Feb → | ||
| 13–8 | 0.03 | 18% | 27 Feb → | ||
| 13–7 | -0.00 | 33% | 9 Feb → | ||
| 13–10 | -0.03 | 26% | 8 Feb → | ||
| 13–16 | -0.05 | 26% | 19 Jan → | ||
| 13–16 | 0.01 | 43% | 15 Jan → | ||
| 13–9 | 0.01 | 27% | 14 Jan → | ||
| 13–10 | 0.02 | 34% | 12 Jan → | ||
| 13–3 | 0.01 | 29% | 12 Jan → | ||
| 13–11 | 0.03 | 39% | 12 Jan → | ||
| 10–13 | -0.03 | 26% | 10 Jan → | ||
| 13–10 | -0.01 | 15% | 10 Jan → | ||
| 11–13 | -0.04 | 26% | 17 Dec → | ||
| 7–13 | -0.03 | 16% | 17 Dec → | ||
| 13–11 | 0.02 | 25% | 15 Dec → | ||
| 13–16 | -0.03 | 20% | 15 Dec → | ||
| 13–8 | 0.02 | 34% | 15 Dec → | ||
| 8–13 | -0.02 | 23% | 15 Dec → | ||
| 13–7 | 0.04 | 28% | 12 Dec → | ||
| 13–11 | 0.09 | 24% | 11 Dec → | ||
| 3–13 | -0.03 | 16% | 11 Dec → | ||
| 13–10 | 0.01 | 26% | 10 Dec → | ||
| 8–13 | -0.03 | 26% | 7 Dec → | ||
| 2–2 | 0.05 | 50% | 3 Dec → | ||
| 13–5 | -0.03 | 27% | 1 Dec → | ||
| 13–10 | -0.01 | 25% | 30 Nov → | ||
| 16–19 | -0.02 | 26% | 29 Nov → | ||
| 7–13 | -0.05 | 23% | 28 Nov → | ||
| 13–10 | 0.06 | 31% | 28 Nov → | ||
| 19–16 | -0.00 | 22% | 27 Nov → | ||
| 13–9 | -0.01 | 17% | 15 Nov → | ||
| 13–11 | 0.03 | 33% | 15 Nov → | ||
| 11–13 | -0.02 | 26% | 15 Nov → | ||
| 13–9 | 0.05 | 28% | 15 Nov → | ||
| 13–8 | 0.02 | 17% | 15 Nov → | ||
| 8–13 | -0.05 | 21% | 14 Nov → | ||
| 13–7 | 0.04 | 28% | 4 Nov → | ||
| 9–13 | -0.06 | 25% | 1 Nov → | ||
| 13–3 | 0.03 | 20% | 31 Oct → | ||
| 13–7 | -0.02 | 35% | 30 Oct → | ||
| 13–10 | -0.00 | 27% | 29 Oct → | ||
| 13–7 | 0.01 | 15% | 28 Oct → | ||
| 7–13 | -0.03 | 11% | 21 Oct → | ||
| 22–20 | -0.04 | 22% | 12 Oct → | ||
| 16–13 | -0.02 | 27% | 11 Oct → | ||
| 5–10 | -0.02 | 29% | 9 Oct → |
Match data via Leetify.