aaronsfury — CS2 Stats
US76561198075997073[U:1:115731345]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 2,873
- Next: 3,000 ELO at 3,000 — 127 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
Premier CS Rating
- At peak — 28,983
- Next: Gold band at 30,000 — 1,017 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.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -60pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 93% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
T-side openings. Opening success drops from 54% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 573ms 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 (×1.05 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 | 25 | 16–9 | 64% | 0.02 | |
| S | 24 | 16–8 | 67% | 0.04 | |
| B | 15 | 7–8 | 47% | 0.03 | |
| A | 9 | 5–4 | 56% | -0.00 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| B | 8 | 4–4 | 50% | 0.00 | |
| — | 4 | 3–1 | 75% | 0.06 | |
| — | 4 | 3–1 | 75% | -0.01 | |
| poseidon | — | 2 | 2–0 | 100% | 0.07 |
| usp_containment | — | 1 | 1–0 | 100% | 0.18 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 8). 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 246 | 54% | 1.24 | 16.2 |
| Dust2 | 144 | 58% | 1.25 | 17.3 |
| Ancient | 133 | 44% | 1.19 | 15.8 |
| Nuke | 112 | 55% | 1.18 | 16.1 |
| Anubis | 106 | 48% | 1.18 | 17.4 |
| Inferno | 95 | 49% | 1.24 | 16.6 |
| Overpass | 57 | 54% | 1.37 | 17.9 |
| Vertigo | 24 | 46% | 1.25 | 17.8 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.06 | 24% | 15 Aug → | ||
| 7–13 | -0.06 | 30% | 14 Aug → | ||
| 6–13 | -0.03 | 13% | 12 Aug → | ||
| usp_containment | 13–5 | 0.18 | 52% | 8 Aug → | |
| 11–13 | 0.02 | 10% | 30 Jul → | ||
| 9–13 | -0.05 | 15% | 6 Jul → | ||
| 6–13 | -0.05 | 22% | 6 Jul → | ||
| 13–8 | 0.13 | 26% | 6 Jul → | ||
| 7–13 | -0.01 | 20% | 29 Jun → | ||
| 13–4 | 0.06 | 29% | 29 Jun → | ||
| 16–14 | 0.02 | 23% | 29 Jun → | ||
| 7–13 | 0.01 | 30% | 23 Jun → | ||
| 13–6 | 0.03 | 11% | 23 Jun → | ||
| 13–7 | 0.01 | 23% | 26 May → | ||
| 16–14 | -0.01 | 10% | 22 May → | ||
| 13–9 | -0.02 | 27% | 16 May → | ||
| 16–14 | -0.03 | 25% | 6 May → | ||
| 13–7 | 0.14 | 27% | 4 May → | ||
| 13–10 | 0.05 | 23% | 4 May → | ||
| 5–0 | 0.12 | 75% | 4 May → | ||
| 13–8 | 0.02 | 15% | 2 May → | ||
| 13–10 | 0.02 | 24% | 28 Apr → | ||
| 15–19 | 0.00 | 30% | 26 Apr → | ||
| 11–13 | -0.02 | 27% | 26 Apr → | ||
| 13–10 | 0.04 | 11% | 20 Apr → | ||
| 4–13 | -0.05 | 17% | 19 Apr → | ||
| 13–11 | -0.01 | 30% | 19 Apr → | ||
| 13–11 | 0.03 | 26% | 16 Apr → | ||
| 13–2 | 0.05 | 17% | 11 Apr → | ||
| 9–5 | 0.25 | 42% | 11 Apr → | ||
| 8–8 | -0.01 | 16% | 11 Apr → | ||
| 7–13 | 0.03 | 15% | 4 Apr → | ||
| 13–9 | 0.08 | 22% | 4 Apr → | ||
| 13–7 | 0.05 | 23% | 3 Apr → | ||
| poseidon | 9–5 | 0.08 | 13% | 2 Apr → | |
| 13–9 | 0.06 | 25% | 30 Mar → | ||
| poseidon | 9–2 | 0.05 | 43% | 28 Mar → | |
| 5–13 | -0.03 | 18% | 28 Mar → | ||
| 9–13 | -0.05 | 19% | 28 Mar → | ||
| 10–13 | -0.01 | 27% | 28 Mar → | ||
| 13–9 | -0.02 | 18% | 28 Mar → | ||
| 4–13 | -0.02 | 14% | 28 Mar → | ||
| 13–9 | 0.09 | 20% | 22 Mar → | ||
| 13–11 | 0.07 | 13% | 22 Mar → | ||
| 1–13 | -0.09 | 38% | 18 Mar → | ||
| 13–5 | 0.02 | 29% | 18 Mar → | ||
| 13–11 | 0.01 | 19% | 15 Mar → | ||
| 13–10 | 0.04 | 23% | 14 Mar → | ||
| 19–17 | 0.01 | 19% | 13 Mar → | ||
| 13–6 | 0.15 | 20% | 8 Mar → | ||
| 13–8 | 0.06 | 29% | 8 Mar → | ||
| 7–13 | 0.02 | 22% | 8 Mar → | ||
| 14–16 | -0.01 | 20% | 7 Mar → | ||
| 9–13 | 0.09 | 23% | 7 Mar → | ||
| 13–8 | 0.06 | 21% | 7 Mar → | ||
| 13–11 | 0.03 | 20% | 7 Mar → | ||
| 11–13 | 0.04 | 19% | 7 Mar → | ||
| 13–10 | -0.01 | 10% | 7 Mar → | ||
| 13–8 | 0.06 | 13% | 28 Feb → | ||
| 13–6 | 0.01 | 24% | 28 Feb → | ||
| 13–8 | 0.05 | 13% | 28 Feb → | ||
| 10–13 | -0.03 | 10% | 16 Feb → | ||
| 13–2 | 0.08 | 28% | 16 Feb → | ||
| 13–6 | 0.04 | 32% | 16 Feb → | ||
| 9–13 | -0.03 | 15% | 15 Feb → | ||
| 16–14 | 0.02 | 31% | 13 Feb → | ||
| 6–13 | -0.01 | 23% | 13 Feb → | ||
| 13–8 | 0.06 | 35% | 10 Feb → | ||
| 13–11 | 0.02 | 25% | 7 Feb → | ||
| 13–3 | -0.01 | 23% | 7 Feb → | ||
| 6–13 | 0.05 | 24% | 6 Feb → | ||
| 13–8 | 0.03 | 29% | 4 Feb → | ||
| 13–11 | 0.03 | 21% | 31 Jan → | ||
| 11–13 | 0.03 | 16% | 30 Jan → | ||
| 13–7 | 0.05 | 19% | 28 Jan → | ||
| 13–5 | 0.03 | 14% | 28 Jan → | ||
| 13–8 | -0.00 | 21% | 14 Jan → | ||
| 10–13 | 0.05 | 12% | 11 Jan → | ||
| 10–13 | 0.01 | 16% | 11 Jan → | ||
| 7–13 | 0.05 | 10% | 11 Jan → | ||
| 8–13 | 0.01 | 14% | 11 Jan → | ||
| 13–6 | 0.02 | 24% | 11 Jan → | ||
| 7–9 | 0.05 | 33% | 6 Jan → | ||
| 3–9 | -0.02 | 23% | 6 Jan → | ||
| 10–13 | -0.02 | 15% | 4 Jan → | ||
| 16–14 | -0.01 | 18% | 28 Dec → | ||
| 6–13 | -0.02 | 17% | 28 Dec → | ||
| 8–13 | 0.04 | 18% | 28 Dec → | ||
| 13–9 | 0.00 | 12% | 27 Dec → | ||
| 13–5 | 0.02 | 23% | 30 Nov → | ||
| 11–13 | 0.05 | 38% | 30 Nov → | ||
| 13–10 | 0.04 | 15% | 26 Nov → | ||
| 13–6 | -0.02 | 15% | 23 Nov → | ||
| 13–10 | 0.05 | 19% | 23 Nov → | ||
| 13–6 | -0.05 | 20% | 23 Nov → | ||
| 7–13 | 0.01 | 44% | 23 Nov → | ||
| 13–8 | 0.06 | 26% | 13 Nov → | ||
| 16–14 | 0.04 | 18% | 8 Nov → | ||
| 8–13 | 0.03 | 28% | 8 Nov → | ||
| 3–13 | -0.04 | 13% | 8 Nov → |
Match data via Leetify.