Ateling — CS2 Stats
VA76561199310329746[U:1:1350064018]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerReliable 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 b1t 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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 92 — 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 52% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 559ms 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 (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 41 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 |
|---|---|---|---|---|---|
 inferno | D | 9 | 2–7 | 22% | -0.01 |
 mirage | S | 8 | 6–2 | 75% | 0.05 |
 vertigo | S | 7 | 5–2 | 71% | 0.15 |
 dust2 | S | 6 | 4–2 | 67% | 0.06 |
| office | — | 3 | 2–1 | 67% | 0.07 |
 nuke | — | 3 | 2–1 | 67% | 0.05 |
 cache | — | 2 | 2–0 | 100% | 0.02 |
 train | — | 1 | 0–1 | 0% | 0.03 |
 anubis | — | 1 | 1–0 | 100% | 0.14 |
 ancient | — | 1 | 1–0 | 100% | 0.19 |
Across the last 41 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 9). 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 15 | 33% | 1.11 | 13.1 |
| Dust2 | 11 | 27% | 1.06 | 12.4 |
| Anubis | 2 | 50% | 0.66 | 8.5 |
| Inferno | 2 | 100% | 2.65 | 23.0 |
| Ancient | 1 | 0% | 1.24 | 21.0 |
| Nuke | 1 | 100% | 0.64 | 9.0 |
| Cache | 1 | 0% | 0.27 | 4.0 |
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 30.5378% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| vertigo | 9–4 | 0.26 | 27% | 15 Jul → | |
| inferno | 7–9 | 0.10 | 50% | 15 Jul → | |
| inferno | 1–9 | -0.26 | 0% | 15 Jul → | |
| office | 13–8 | 0.21 | 51% | 9 Jul → | |
| dust2 | 13–6 | 0.01 | 13% | 9 Jul → | |
| dust2 | 13–10 | 0.02 | 36% | 8 Jul → | |
| dust2 | 13–9 | 0.30 | 29% | 24 Jun → | |
| train | 5–13 | 0.03 | 21% | 23 Jun → | |
| anubis | 13–6 | 0.14 | 17% | 27 May → | |
| mirage | 13–9 | 0.02 | 19% | 27 May → | |
| office | 13–6 | 0.03 | 31% | 19 May → | |
| cache | 13–6 | 0.01 | 39% | 12 May → | |
| cache | 13–6 | 0.02 | 11% | 11 May → | |
| vertigo | 9–4 | 0.17 | 23% | 8 May → | |
| vertigo | 1–9 | -0.20 | 100% | 1 May → | |
| vertigo | 4–13 | 0.08 | 13% | 9 Apr → | |
| mirage | 6–13 | 0.07 | 26% | 20 Mar → | |
| dust2 | 13–6 | 0.04 | 17% | 4 Mar → | |
| mirage | 13–5 | 0.10 | 11% | 25 Feb → | |
| mirage | 13–6 | 0.05 | 7% | 11 Feb → | |
| inferno | 4–13 | 0.02 | 14% | 7 Feb → | |
| dust2 | 10–13 | 0.01 | 26% | 4 Feb → | |
| nuke | 7–9 | 0.03 | 26% | 1 Feb → | |
| nuke | 13–11 | -0.02 | 27% | 1 Feb → | |
| office | 11–13 | -0.03 | 20% | 2 Jan → | |
| dust2 | 6–13 | 0.00 | 26% | 2 Jan → | |
| inferno | 3–9 | -0.07 | 38% | 29 May → | |
| inferno | 3–9 | -0.06 | 26% | 23 May → | |
| inferno | 3–9 | -0.11 | 22% | 23 May → | |
| mirage | 12–12 | -0.06 | 21% | 12 May → | |
| inferno | 8–8 | 0.04 | 18% | 11 May → | |
| mirage | 13–7 | 0.02 | 15% | 29 Apr → | |
| inferno | 9–4 | 0.15 | 7% | 15 Mar → | |
| vertigo | 9–6 | 0.19 | 43% | 21 Jun → | |
| mirage | 13–7 | 0.20 | 36% | 6 Jan → | |
| mirage | 13–4 | 0.01 | 50% | 22 Nov → | |
| inferno | 13–8 | 0.10 | 52% | 22 Nov → | |
| ancient | 13–4 | 0.19 | 21% | 22 Nov → | |
| nuke | 13–6 | 0.13 | 75% | 21 Nov → | |
| vertigo | 13–9 | 0.37 | 62% | 21 Nov → | |
| vertigo | 13–1 | 0.17 | 38% | 21 Nov → |
Match data via Leetify.