Consume — CS2 Stats
76561198275078818[U:1:314813090]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 3,422
- Next: 3,500 ELO at 3,500 — 78 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 25,907
- Next: Gold band at 30,000 — 4,093 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink 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: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective flashes
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 b1t 95% playstyle similarity
Most alike: opening-duel success, positioning 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
Strengths
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 55% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
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 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 27 | 15–12 | 56% | 0.00 | |
| S | 25 | 21–4 | 84% | 0.02 | |
| C | 21 | 8–13 | 38% | 0.02 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| D | 6 | 2–4 | 33% | -0.00 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 667 | 60% | 1.24 | 17.1 |
| Mirage | 599 | 57% | 1.17 | 16.5 |
| Anubis | 393 | 55% | 1.18 | 16.4 |
| Nuke | 177 | 47% | 1.17 | 16.8 |
| Dust2 | 173 | 55% | 1.22 | 17.2 |
| Inferno | 128 | 59% | 1.25 | 16.8 |
| Vertigo | 75 | 48% | 1.12 | 16.3 |
| Overpass | 43 | 49% | 1.26 | 16.6 |
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 33.2136% — 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.07 | 30% | 8 Aug → | ||
| 16–12 | -0.01 | 20% | 1 Aug → | ||
| 4–13 | -0.08 | 12% | 2 May → | ||
| 13–16 | 0.03 | 24% | 2 May → | ||
| 11–13 | 0.00 | 26% | 23 Apr → | ||
| 16–13 | 0.07 | 39% | 22 Apr → | ||
| 13–6 | 0.02 | 23% | 17 Apr → | ||
| 13–10 | 0.05 | 29% | 17 Apr → | ||
| 13–4 | 0.00 | 32% | 17 Apr → | ||
| 13–6 | 0.07 | 37% | 4 Mar → | ||
| 13–7 | 0.03 | 25% | 3 Mar → | ||
| 13–4 | 0.03 | 27% | 20 Feb → | ||
| 13–9 | 0.04 | 18% | 6 Feb → | ||
| 3–13 | -0.06 | 14% | 23 Jan → | ||
| 13–16 | 0.01 | 29% | 21 Jan → | ||
| 13–11 | 0.05 | 32% | 19 Jan → | ||
| 16–14 | -0.01 | 24% | 13 Jan → | ||
| 9–13 | 0.05 | 41% | 11 Jan → | ||
| 13–9 | 0.07 | 33% | 10 Jan → | ||
| 11–13 | 0.04 | 45% | 3 Jan → | ||
| 12–0 | 0.03 | 23% | 13 Dec → | ||
| 4–13 | 0.00 | 20% | 28 Oct → | ||
| 14–16 | 0.02 | 22% | 22 Oct → | ||
| 13–9 | 0.02 | 15% | 9 Oct → | ||
| 13–8 | 0.05 | 26% | 15 Aug → | ||
| 11–13 | -0.00 | 15% | 14 Aug → | ||
| 3–13 | 0.02 | 21% | 5 Aug → | ||
| 13–2 | 0.09 | 26% | 14 Jul → | ||
| 13–15 | 0.01 | 30% | 11 Jul → | ||
| 13–10 | -0.02 | 21% | 9 Jul → | ||
| 13–11 | -0.03 | 24% | 6 Jul → | ||
| 13–9 | 0.04 | 20% | 16 Jun → | ||
| 16–14 | -0.02 | 17% | 16 Jun → | ||
| 13–11 | -0.02 | 25% | 15 Jun → | ||
| 13–8 | 0.02 | 24% | 30 Mar → | ||
| 5–13 | -0.02 | 18% | 27 Feb → | ||
| 9–13 | -0.06 | 15% | 11 Feb → | ||
| 10–13 | 0.02 | 24% | 6 Feb → | ||
| 13–9 | -0.00 | 19% | 18 Jan → | ||
| 10–13 | 0.04 | 25% | 16 Jan → | ||
| 6–13 | 0.02 | 26% | 2 Jan → | ||
| 13–7 | 0.06 | 20% | 29 Dec → | ||
| 7–13 | 0.03 | 30% | 29 Dec → | ||
| 13–10 | -0.02 | 18% | 26 Dec → | ||
| 13–3 | 0.02 | 23% | 15 Dec → | ||
| 10–13 | 0.05 | 42% | 14 Dec → | ||
| 11–13 | 0.01 | 24% | 20 Nov → | ||
| 13–10 | 0.01 | 26% | 17 Nov → | ||
| 13–4 | 0.17 | 27% | 17 Nov → | ||
| 14–16 | 0.02 | 31% | 17 Nov → | ||
| 13–10 | 0.08 | 31% | 26 Oct → | ||
| 13–9 | 0.02 | 27% | 19 Oct → | ||
| 11–13 | -0.03 | 19% | 18 Oct → | ||
| 13–11 | -0.01 | 23% | 2 Sept → | ||
| 13–8 | -0.05 | 33% | 27 Aug → | ||
| 13–10 | 0.04 | 38% | 10 Aug → | ||
| 13–7 | 0.07 | 16% | 4 Aug → | ||
| 13–8 | 0.07 | 25% | 29 Jul → | ||
| 13–7 | 0.07 | 15% | 26 Jul → | ||
| 3–13 | -0.13 | 15% | 25 Jul → | ||
| 11–13 | 0.03 | 21% | 25 Jul → | ||
| 13–9 | -0.05 | 16% | 11 Jul → | ||
| 13–6 | 0.02 | 21% | 11 Jul → | ||
| 10–13 | -0.06 | 31% | 7 Jul → | ||
| 10–13 | -0.05 | 21% | 8 Jun → | ||
| 13–16 | -0.02 | 20% | 16 May → | ||
| 14–16 | -0.05 | 30% | 14 May → | ||
| 8–13 | -0.04 | 19% | 14 May → | ||
| 9–13 | 0.02 | 33% | 4 May → | ||
| 8–13 | -0.07 | 27% | 3 May → | ||
| 16–13 | 0.02 | 36% | 3 May → | ||
| 10–13 | 0.01 | 41% | 2 May → | ||
| 16–19 | -0.04 | 30% | 2 May → | ||
| 13–10 | 0.08 | 30% | 29 Apr → | ||
| 13–2 | -0.02 | 14% | 29 Apr → | ||
| 13–3 | 0.10 | 25% | 26 Apr → | ||
| 13–9 | 0.01 | 33% | 26 Apr → | ||
| 15–19 | -0.04 | 23% | 21 Apr → | ||
| 13–7 | -0.03 | 42% | 20 Apr → | ||
| 13–5 | -0.02 | 31% | 17 Apr → | ||
| 13–9 | 0.05 | 31% | 16 Apr → | ||
| 7–13 | 0.01 | 54% | 16 Apr → | ||
| 13–6 | 0.08 | 22% | 16 Apr → | ||
| 11–13 | -0.04 | 28% | 15 Apr → | ||
| 16–14 | 0.03 | 31% | 14 Apr → | ||
| 13–7 | 0.03 | 32% | 14 Apr → | ||
| 13–10 | 0.01 | 27% | 14 Apr → | ||
| 13–4 | 0.03 | 18% | 13 Apr → | ||
| 4–13 | -0.02 | 20% | 13 Apr → | ||
| 7–13 | -0.06 | 15% | 12 Apr → | ||
| 13–7 | -0.02 | 18% | 12 Apr → | ||
| 13–11 | 0.02 | 18% | 11 Apr → | ||
| 13–7 | 0.06 | 38% | 11 Apr → | ||
| 13–5 | 0.01 | 21% | 10 Apr → | ||
| 8–13 | 0.04 | 33% | 9 Apr → | ||
| 13–8 | -0.00 | 34% | 8 Apr → | ||
| 13–7 | -0.02 | 24% | 8 Apr → | ||
| 13–7 | 0.03 | 17% | 8 Apr → | ||
| 13–6 | 0.01 | 25% | 5 Apr → | ||
| 13–11 | -0.06 | 30% | 3 Apr → |
Match data via Leetify.