IceyKL — CS2 Stats
76561198977969259[U:1:1017703531]
Rating over time
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 62.5% | 52.8% | above |
| Shot accuracy | 18.9% | 13.7% | above |
| Kill/death ratio | 1.35 | 1.08 | above |
| Match win rate | 53.8% | 49.2% | above |
Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · -0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; lower 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
Areas to improve
Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 570ms 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 5.9/10 (Solid), 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 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 |
|---|---|---|---|---|---|
 mirage | A | 25 | 15–10 | 60% | 0.04 |
 dust2 | S | 15 | 10–5 | 67% | 0.04 |
 inferno | S | 14 | 10–4 | 71% | 0.04 |
 ancient | B | 10 | 5–5 | 50% | 0.03 |
 anubis | S | 8 | 6–2 | 75% | 0.01 |
 overpass | S | 7 | 7–0 | 100% | 0.05 |
 vertigo | S | 6 | 4–2 | 67% | 0.06 |
 train | S | 6 | 4–2 | 67% | 0.06 |
 nuke | — | 4 | 0–4 | 0% | 0.06 |
 cache | — | 1 | 1–0 | 100% | 0.05 |
| alpine | — | 1 | 0–1 | 0% | 0.13 |
| warden | — | 1 | 0–1 | 0% | 0.09 |
| palacio | — | 1 | 0–1 | 0% | -0.01 |
| grail | — | 1 | 0–1 | 0% | 0.10 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Ancient 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 7 | 43% | 1.39 | 14.1 |
| Vertigo | 5 | 60% | 1.29 | 20.4 |
| Dust2 | 5 | 80% | 1.42 | 23.2 |
| Ancient | 4 | 100% | 1.63 | 22.5 |
| Anubis | 3 | 67% | 1.10 | 10.3 |
| Cache | 2 | 100% | 2.04 | 20.5 |
| Inferno | 2 | 50% | 0.90 | 15.5 |
| Overpass | 1 | 0% | 0.88 | 15.0 |
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 31.5214% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–9 | -0.06 | 35% | 27 Aug → | |
| mirage | 13–0 | 0.08 | 21% | 26 Aug → | |
| anubis | 13–4 | 0.07 | 35% | 26 Aug → | |
| anubis | 13–6 | -0.07 | 21% | 25 Aug → | |
| anubis | 13–2 | -0.03 | 18% | 25 Aug → | |
| mirage | 7–13 | -0.04 | 23% | 20 Aug → | |
| ancient | 8–13 | -0.01 | 34% | 16 Aug → | |
| ancient | 13–5 | 0.07 | 49% | 11 Aug → | |
| mirage | 7–13 | -0.01 | 29% | 10 Aug → | |
| ancient | 13–8 | 0.07 | 30% | 10 Aug → | |
| dust2 | 13–11 | 0.01 | 32% | 5 Aug → | |
| vertigo | 13–7 | 0.05 | 37% | 5 Aug → | |
| nuke | 10–13 | 0.06 | 29% | 5 Aug → | |
| dust2 | 5–13 | -0.05 | 19% | 5 Aug → | |
| inferno | 4–13 | -0.04 | 42% | 5 Aug → | |
| mirage | 5–13 | 0.04 | 22% | 5 Aug → | |
| mirage | 11–13 | 0.05 | 25% | 5 Aug → | |
| ancient | 4–13 | -0.05 | 33% | 2 Aug → | |
| anubis | 8–13 | -0.02 | 14% | 2 Aug → | |
| mirage | 9–13 | 0.02 | 48% | 29 Jul → | |
| mirage | 13–3 | 0.04 | 34% | 29 Jul → | |
| inferno | 13–4 | -0.02 | 31% | 29 Jul → | |
| vertigo | 12–12 | -0.02 | 23% | 29 Jul → | |
| anubis | 13–8 | 0.02 | 37% | 29 Jul → | |
| dust2 | 13–4 | -0.09 | 14% | 23 Jul → | |
| ancient | 13–9 | 0.04 | 28% | 23 Jul → | |
| anubis | 13–6 | 0.04 | 20% | 22 Jul → | |
| cache | 13–5 | 0.05 | 35% | 22 Jul → | |
| inferno | 13–11 | -0.02 | 16% | 25 Jun → | |
| mirage | 13–8 | 0.00 | 34% | 24 Jun → | |
| mirage | 13–9 | 0.03 | 27% | 24 Jun → | |
| overpass | 13–5 | 0.04 | 38% | 18 Apr → | |
| dust2 | 15–15 | 0.01 | 27% | 18 Apr → | |
| overpass | 13–1 | 0.09 | 38% | 18 Apr → | |
| mirage | 13–8 | -0.03 | 21% | 18 Apr → | |
| inferno | 13–10 | 0.13 | 29% | 10 Feb → | |
| dust2 | 13–7 | 0.04 | 29% | 10 Feb → | |
| mirage | 11–13 | 0.01 | 38% | 10 Feb → | |
| alpine | 12–12 | 0.13 | 30% | 24 Jan → | |
| warden | 6–13 | 0.09 | 42% | 24 Jan → | |
| anubis | 3–13 | -0.04 | 26% | 24 Jan → | |
| mirage | 3–13 | -0.01 | 28% | 19 Jan → | |
| nuke | 12–12 | 0.06 | 47% | 27 Dec → | |
| train | 16–14 | 0.08 | 37% | 27 Dec → | |
| inferno | 13–1 | 0.05 | 22% | 26 Dec → | |
| dust2 | 8–13 | 0.04 | 28% | 24 Dec → | |
| mirage | 13–11 | 0.07 | 33% | 5 Dec → | |
| palacio | 3–13 | -0.01 | 39% | 5 Dec → | |
| ancient | 12–12 | 0.03 | 54% | 5 Dec → | |
| inferno | 13–4 | 0.03 | 30% | 5 Dec → | |
| overpass | 13–0 | 0.10 | 39% | 20 Nov → | |
| overpass | 13–5 | -0.03 | 33% | 20 Nov → | |
| ancient | 14–16 | 0.04 | 24% | 11 Nov → | |
| inferno | 7–13 | -0.04 | 26% | 11 Nov → | |
| dust2 | 11–13 | -0.03 | 32% | 28 Oct → | |
| mirage | 13–5 | -0.00 | 26% | 28 Oct → | |
| dust2 | 2–13 | -0.08 | 9% | 28 Oct → | |
| mirage | 13–10 | 0.08 | 22% | 28 Oct → | |
| dust2 | 13–2 | 0.25 | 55% | 9 Oct → | |
| mirage | 13–10 | 0.01 | 38% | 30 Sept → | |
| nuke | 12–12 | 0.12 | 37% | 21 Sept → | |
| dust2 | 13–11 | 0.07 | 33% | 21 Sept → | |
| mirage | 8–13 | 0.01 | 32% | 19 Sept → | |
| mirage | 13–11 | 0.03 | 27% | 8 Aug → | |
| train | 13–7 | 0.06 | 29% | 30 Jul → | |
| grail | 5–13 | 0.10 | 47% | 30 Jul → | |
| overpass | 13–4 | -0.01 | 28% | 22 Jul → | |
| train | 4–0 | 0.05 | 57% | 22 Jul → | |
| mirage | 13–16 | 0.07 | 38% | 18 Jul → | |
| overpass | 13–10 | 0.06 | 31% | 18 Jul → | |
| dust2 | 16–12 | 0.04 | 38% | 28 Jun → | |
| anubis | 13–3 | 0.14 | 38% | 28 Jun → | |
| train | 13–8 | 0.03 | 29% | 13 Jun → | |
| inferno | 13–7 | -0.03 | 42% | 13 Jun → | |
| mirage | 13–9 | 0.08 | 32% | 12 Jun → | |
| dust2 | 13–11 | 0.01 | 29% | 12 Jun → | |
| nuke | 9–13 | -0.01 | 35% | 9 Jun → | |
| mirage | 13–9 | 0.04 | 29% | 6 Jun → | |
| dust2 | 13–4 | 0.08 | 46% | 6 Jun → | |
| inferno | 13–3 | 0.30 | 44% | 28 May → | |
| inferno | 13–3 | 0.01 | 36% | 25 May → | |
| train | 5–13 | 0.06 | 32% | 25 May → | |
| ancient | 13–5 | 0.07 | 30% | 25 May → | |
| vertigo | 7–13 | 0.01 | 43% | 21 May → | |
| inferno | 13–11 | 0.10 | 55% | 7 May → | |
| ancient | 13–8 | 0.04 | 26% | 10 Apr → | |
| inferno | 11–13 | 0.10 | 29% | 10 Apr → | |
| dust2 | 13–3 | 0.12 | 45% | 23 Mar → | |
| mirage | 13–10 | 0.09 | 34% | 22 Mar → | |
| ancient | 3–9 | 0.01 | 31% | 22 Mar → | |
| overpass | 13–7 | 0.09 | 19% | 22 Mar → | |
| vertigo | 13–4 | 0.16 | 38% | 22 Mar → | |
| mirage | 13–2 | 0.11 | 25% | 17 Mar → | |
| dust2 | 13–3 | 0.11 | 52% | 17 Mar → | |
| inferno | 12–12 | 0.07 | 19% | 10 Mar → | |
| mirage | 10–13 | 0.16 | 21% | 10 Mar → | |
| vertigo | 13–0 | 0.04 | 24% | 10 Mar → | |
| train | 12–12 | 0.07 | 30% | 9 Mar → | |
| vertigo | 13–0 | 0.09 | 32% | 9 Mar → | |
| mirage | 13–5 | 0.14 | 34% | 9 Mar → |
Match data via Leetify.
