KING — CS2 Stats
PN76561198162291431[U:1:202025703]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 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 sh1ro 96% playstyle similarity
Most alike: opening-fight frequency, 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 90 — the mechanical foundation is a clear strength.
CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 69% 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 7.4/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 23 | 11–12 | 48% | 0.02 |
 mirage | B | 18 | 9–9 | 50% | 0.03 |
 cache | A | 16 | 10–6 | 63% | 0.04 |
 ancient | B | 15 | 8–7 | 53% | 0.01 |
 anubis | B | 12 | 6–6 | 50% | 0.02 |
 inferno | S | 9 | 6–3 | 67% | 0.05 |
 vertigo | — | 3 | 3–0 | 100% | 0.05 |
 train | — | 2 | 2–0 | 100% | 0.06 |
 nuke | — | 1 | 1–0 | 100% | 0.04 |
 overpass | — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (48% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 349 | 52% | 1.25 | 17.8 |
| Dust2 | 269 | 51% | 1.28 | 17.5 |
| Ancient | 212 | 52% | 1.21 | 16.8 |
| Anubis | 153 | 48% | 1.21 | 17.3 |
| Inferno | 97 | 57% | 1.26 | 17.8 |
| Nuke | 80 | 56% | 1.23 | 16.3 |
| Overpass | 46 | 59% | 1.61 | 19.2 |
| Train | 28 | 46% | 1.16 | 16.7 |
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
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 27.6255% — 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.
48% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–3 | 0.03 | 26% | 27 Aug → | |
| cache | 6–1 | 0.22 | 42% | 27 Aug → | |
| cache | 6–13 | 0.04 | 22% | 27 Aug → | |
| dust2 | 11–13 | 0.05 | 30% | 24 Aug → | |
| ancient | 12–16 | -0.01 | 16% | 24 Aug → | |
| anubis | 13–5 | 0.03 | 18% | 24 Aug → | |
| mirage | 13–16 | 0.04 | 16% | 24 Aug → | |
| inferno | 11–13 | -0.01 | 16% | 24 Aug → | |
| anubis | 13–8 | 0.05 | 10% | 23 Aug → | |
| ancient | 16–12 | 0.07 | 21% | 23 Aug → | |
| mirage | 14–16 | 0.02 | 29% | 23 Aug → | |
| cache | 25–22 | -0.00 | 19% | 23 Aug → | |
| inferno | 13–5 | 0.05 | 28% | 23 Aug → | |
| inferno | 13–7 | 0.06 | 20% | 23 Aug → | |
| inferno | 2–6 | 0.07 | 17% | 20 Aug → | |
| dust2 | 16–14 | 0.01 | 19% | 20 Aug → | |
| anubis | 10–13 | -0.02 | 18% | 20 Aug → | |
| train | 13–6 | 0.10 | 21% | 18 Aug → | |
| ancient | 1–13 | -0.05 | 0% | 18 Aug → | |
| train | 13–5 | 0.01 | 22% | 18 Aug → | |
| ancient | 13–6 | 0.08 | 13% | 10 Aug → | |
| ancient | 13–3 | -0.01 | 24% | 10 Aug → | |
| nuke | 13–6 | 0.04 | 13% | 10 Aug → | |
| cache | 4–13 | -0.01 | 17% | 9 Aug → | |
| mirage | 10–13 | 0.00 | 18% | 9 Aug → | |
| dust2 | 6–13 | 0.03 | 15% | 8 Aug → | |
| ancient | 6–13 | -0.03 | 12% | 8 Aug → | |
| mirage | 13–10 | 0.02 | 22% | 8 Aug → | |
| mirage | 16–14 | 0.04 | 16% | 6 Aug → | |
| anubis | 5–13 | -0.01 | 26% | 6 Aug → | |
| anubis | 13–9 | 0.08 | 26% | 6 Aug → | |
| dust2 | 13–7 | 0.07 | 21% | 6 Aug → | |
| mirage | 8–13 | 0.07 | 19% | 4 Aug → | |
| vertigo | 13–7 | 0.10 | 26% | 4 Aug → | |
| mirage | 13–11 | -0.01 | 16% | 4 Aug → | |
| dust2 | 6–13 | -0.02 | 13% | 4 Aug → | |
| ancient | 13–6 | 0.03 | 26% | 4 Aug → | |
| ancient | 13–10 | -0.01 | 11% | 2 Aug → | |
| dust2 | 17–19 | 0.04 | 23% | 1 Aug → | |
| anubis | 13–4 | 0.09 | 6% | 1 Aug → | |
| ancient | 6–13 | -0.02 | 10% | 1 Aug → | |
| cache | 13–6 | 0.03 | 28% | 1 Aug → | |
| inferno | 13–7 | 0.09 | 16% | 31 Jul → | |
| dust2 | 13–8 | 0.03 | 24% | 31 Jul → | |
| vertigo | 13–10 | 0.03 | 23% | 29 Jul → | |
| cache | 13–11 | 0.02 | 21% | 29 Jul → | |
| anubis | 13–6 | 0.08 | 15% | 29 Jul → | |
| ancient | 13–4 | 0.13 | 16% | 29 Jul → | |
| mirage | 13–3 | 0.18 | 32% | 27 Jul → | |
| mirage | 13–5 | 0.01 | 23% | 26 Jul → | |
| vertigo | 13–9 | 0.01 | 23% | 22 Jul → | |
| dust2 | 13–10 | 0.01 | 16% | 22 Jul → | |
| ancient | 8–13 | 0.07 | 22% | 21 Jul → | |
| mirage | 9–13 | 0.08 | 22% | 21 Jul → | |
| cache | 7–13 | 0.04 | 16% | 21 Jul → | |
| dust2 | 13–11 | -0.01 | 18% | 21 Jul → | |
| mirage | 13–3 | 0.06 | 14% | 21 Jul → | |
| anubis | 2–13 | -0.07 | 9% | 21 Jul → | |
| cache | 7–13 | 0.03 | 24% | 21 Jul → | |
| inferno | 13–10 | 0.01 | 13% | 21 Jul → | |
| anubis | 8–13 | -0.01 | 24% | 21 Jul → | |
| mirage | 13–7 | 0.04 | 16% | 21 Jul → | |
| ancient | 13–10 | 0.05 | 34% | 18 Jul → | |
| inferno | 13–5 | 0.08 | 23% | 18 Jul → | |
| dust2 | 10–13 | -0.01 | 26% | 18 Jul → | |
| cache | 13–5 | 0.03 | 19% | 18 Jul → | |
| cache | 13–1 | 0.04 | 12% | 18 Jul → | |
| mirage | 8–13 | 0.02 | 20% | 18 Jul → | |
| dust2 | 10–13 | 0.05 | 21% | 18 Jul → | |
| ancient | 13–8 | -0.02 | 25% | 17 Jul → | |
| dust2 | 13–11 | 0.01 | 12% | 17 Jul → | |
| anubis | 2–13 | -0.07 | 26% | 17 Jul → | |
| dust2 | 13–10 | 0.08 | 29% | 13 Jul → | |
| anubis | 6–13 | 0.02 | 32% | 13 Jul → | |
| cache | 9–13 | 0.05 | 24% | 13 Jul → | |
| dust2 | 14–16 | 0.07 | 24% | 13 Jul → | |
| cache | 13–8 | 0.04 | 17% | 13 Jul → | |
| mirage | 19–17 | 0.07 | 17% | 7 Jul → | |
| dust2 | 13–5 | 0.01 | 11% | 7 Jul → | |
| mirage | 11–13 | -0.03 | 22% | 7 Jul → | |
| cache | 12–12 | -0.04 | 24% | 6 Jul → | |
| mirage | 8–13 | -0.08 | 21% | 6 Jul → | |
| inferno | 13–11 | 0.02 | 16% | 6 Jul → | |
| inferno | 11–13 | 0.04 | 17% | 6 Jul → | |
| dust2 | 13–1 | 0.14 | 50% | 3 Jul → | |
| dust2 | 4–13 | -0.03 | 27% | 3 Jul → | |
| mirage | 13–2 | 0.03 | 35% | 3 Jul → | |
| dust2 | 8–13 | -0.05 | 41% | 3 Jul → | |
| mirage | 2–13 | 0.00 | 22% | 3 Jul → | |
| cache | 13–7 | -0.00 | 14% | 28 Jun → | |
| cache | 13–10 | 0.09 | 30% | 28 Jun → | |
| dust2 | 0–13 | -0.05 | 0% | 28 Jun → | |
| dust2 | 2–0 | 0.00 | 0% | 28 Jun → | |
| ancient | 4–13 | -0.08 | 3% | 24 Jun → | |
| dust2 | 13–11 | -0.01 | 21% | 24 Jun → | |
| overpass | 7–13 | 0.07 | 33% | 23 Jun → | |
| dust2 | 10–13 | 0.00 | 16% | 22 Jun → | |
| dust2 | 11–13 | 0.04 | 13% | 22 Jun → | |
| ancient | 10–13 | 0.05 | 16% | 22 Jun → | |
| anubis | 13–9 | 0.05 | 22% | 22 Jun → |
Match data via Leetify.