ChildKing — CS2 Stats
PRORare AtomChinaRiflerSettings & gear profile →
76561198352656104[U:1:392390376]✓ No bans
Rating over time
Faceit ELO
- At peak — 2,958
- Next: 3,000 ELO at 3,000 — 42 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.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
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 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 96% playstyle similarity
Most alike: positioning profile, opening-duel success.
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 93 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 61% on CT to 28% 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 7.7/10 (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 |
|---|---|---|---|---|---|
| A | 28 | 17–11 | 61% | 0.01 | |
| A | 23 | 13–10 | 57% | 0.03 | |
| A | 22 | 13–9 | 59% | -0.00 | |
| S | 15 | 10–5 | 67% | 0.02 | |
| — | 4 | 4–0 | 100% | 0.05 | |
| — | 3 | 0–3 | 0% | -0.00 | |
| — | 3 | 0–3 | 0% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (57% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 82 | 61% | 1.38 | 17.5 |
| Mirage | 79 | 73% | 1.44 | 18.4 |
| Dust2 | 52 | 75% | 1.49 | 18.5 |
| Inferno | 46 | 76% | 1.44 | 16.9 |
| Anubis | 40 | 78% | 1.60 | 20.5 |
| Vertigo | 10 | 90% | 1.33 | 19.2 |
| Overpass | 7 | 71% | 1.56 | 18.1 |
| Cache | 6 | 100% | 1.49 | 17.3 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 28.1759% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.01 | 19% | 26 Aug → | ||
| 13–8 | 0.03 | 31% | 26 Aug → | ||
| 13–5 | -0.02 | 39% | 25 Aug → | ||
| 13–6 | 0.08 | 33% | 25 Aug → | ||
| 13–10 | -0.01 | 24% | 25 Aug → | ||
| 11–13 | 0.01 | 23% | 25 Aug → | ||
| 8–13 | 0.04 | 23% | 25 Aug → | ||
| 13–5 | 0.02 | 31% | 24 Aug → | ||
| 13–9 | 0.04 | 39% | 24 Aug → | ||
| 13–3 | 0.08 | 38% | 23 Aug → | ||
| 13–11 | -0.01 | 18% | 23 Aug → | ||
| 10–13 | 0.06 | 37% | 23 Aug → | ||
| 13–3 | 0.09 | 33% | 22 Aug → | ||
| 13–0 | 0.20 | 23% | 22 Aug → | ||
| 7–13 | 0.02 | 12% | 27 Feb → | ||
| 13–16 | -0.03 | 26% | 27 Feb → | ||
| 9–13 | 0.05 | 31% | 26 Feb → | ||
| 13–10 | -0.00 | 37% | 26 Feb → | ||
| 19–17 | 0.02 | 17% | 26 Feb → | ||
| 13–8 | -0.04 | 30% | 26 Feb → | ||
| 13–9 | 0.02 | 30% | 26 Feb → | ||
| 17–19 | -0.01 | 17% | 7 Feb → | ||
| 7–13 | -0.01 | 16% | 7 Feb → | ||
| 13–4 | 0.12 | 34% | 6 Feb → | ||
| 11–13 | -0.00 | 25% | 6 Feb → | ||
| 13–4 | -0.04 | 11% | 6 Feb → | ||
| 13–6 | 0.11 | 18% | 23 Jan → | ||
| 3–13 | -0.03 | 25% | 23 Jan → | ||
| 11–13 | 0.01 | 28% | 23 Jan → | ||
| 19–17 | -0.01 | 19% | 18 Jan → | ||
| 13–8 | -0.01 | 24% | 18 Jan → | ||
| 11–13 | -0.01 | 21% | 18 Jan → | ||
| 11–13 | 0.04 | 27% | 30 Dec → | ||
| 13–7 | 0.09 | 21% | 30 Dec → | ||
| 13–9 | -0.02 | 20% | 30 Dec → | ||
| 13–9 | 0.01 | 33% | 30 Dec → | ||
| 13–6 | 0.02 | 32% | 30 Dec → | ||
| 13–3 | 0.03 | 21% | 30 Dec → | ||
| 17–19 | -0.02 | 25% | 29 Dec → | ||
| 13–6 | 0.06 | 20% | 29 Dec → | ||
| 14–16 | -0.01 | 28% | 29 Dec → | ||
| 13–7 | 0.06 | 18% | 27 Dec → | ||
| 13–5 | -0.03 | 24% | 27 Dec → | ||
| 10–13 | -0.07 | 26% | 20 Dec → | ||
| 11–13 | 0.01 | 34% | 20 Dec → | ||
| 13–2 | 0.10 | 26% | 19 Dec → | ||
| 13–11 | 0.01 | 37% | 19 Dec → | ||
| 7–13 | 0.01 | 25% | 25 Nov → | ||
| 5–13 | 0.02 | 28% | 25 Nov → | ||
| 6–13 | -0.01 | 39% | 24 Nov → | ||
| 11–13 | -0.01 | 30% | 24 Nov → | ||
| 13–4 | 0.01 | 23% | 22 Nov → | ||
| 13–11 | 0.05 | 29% | 20 Nov → | ||
| 13–11 | -0.02 | 11% | 20 Nov → | ||
| 16–19 | 0.05 | 27% | 20 Nov → | ||
| 11–13 | 0.00 | 20% | 20 Nov → | ||
| 18–22 | -0.02 | 20% | 20 Nov → | ||
| 13–9 | -0.02 | 23% | 16 Nov → | ||
| 14–16 | -0.07 | 19% | 16 Nov → | ||
| 7–13 | 0.05 | 19% | 16 Nov → | ||
| 5–13 | -0.07 | 13% | 15 Nov → | ||
| 13–8 | 0.02 | 21% | 15 Nov → | ||
| 13–10 | 0.01 | 36% | 15 Nov → | ||
| 13–10 | -0.01 | 17% | 13 Nov → | ||
| 9–13 | -0.03 | 22% | 13 Nov → | ||
| 16–14 | -0.01 | 23% | 13 Nov → | ||
| 13–7 | 0.05 | 27% | 17 Oct → | ||
| 13–1 | 0.01 | 38% | 17 Oct → | ||
| 10–13 | -0.01 | 13% | 17 Oct → | ||
| 16–13 | -0.00 | 17% | 16 Oct → | ||
| 13–10 | 0.02 | 24% | 16 Oct → | ||
| 10–13 | 0.03 | 19% | 16 Oct → | ||
| 9–13 | 0.02 | 18% | 15 Oct → | ||
| 5–13 | -0.02 | 35% | 15 Oct → | ||
| 10–13 | 0.00 | 29% | 8 Oct → | ||
| 13–4 | 0.14 | 23% | 8 Oct → | ||
| 13–7 | 0.05 | 20% | 8 Oct → | ||
| 13–8 | -0.01 | 33% | 6 Oct → | ||
| 13–10 | 0.02 | 31% | 6 Oct → | ||
| 23–25 | 0.08 | 26% | 4 Oct → | ||
| 9–13 | -0.02 | 30% | 4 Oct → | ||
| 13–7 | 0.05 | 17% | 3 Oct → | ||
| 10–13 | 0.02 | 26% | 3 Oct → | ||
| 13–5 | 0.03 | 18% | 3 Oct → | ||
| 9–13 | 0.03 | 16% | 2 Oct → | ||
| 13–6 | -0.02 | 28% | 2 Oct → | ||
| 13–8 | 0.01 | 20% | 2 Oct → | ||
| 13–6 | 0.07 | 36% | 20 Sept → | ||
| 13–8 | 0.01 | 23% | 20 Sept → | ||
| 11–13 | 0.01 | 17% | 20 Sept → | ||
| 16–9 | 0.05 | 28% | 19 Sept → | ||
| 16–13 | -0.02 | 30% | 19 Sept → | ||
| 6–13 | -0.06 | 37% | 18 Sept → | ||
| 6–13 | -0.06 | 21% | 18 Sept → | ||
| 9–13 | 0.00 | 37% | 14 Sept → | ||
| 11–13 | 0.02 | 29% | 14 Sept → | ||
| 13–9 | -0.00 | 33% | 11 Sept → | ||
| 13–10 | 0.00 | 29% | 11 Sept → | ||
| 13–8 | -0.02 | 23% | 9 Sept → | ||
| 13–10 | 0.00 | 28% | 9 Sept → |
Match data via Leetify.