oL£K — CS2 Stats
76561197966031513[U:1:5765785]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 40.8% | 48.1% | 7.3% short |
| Shot accuracy | 0.0% | 12.9% | 12.9% short |
| Kill/death ratio | 1.13 | 1.08 | above |
| Match win rate | 56.6% | 46.5% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 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 81% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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 34 points — deaths here waste a strong aim profile.
Reaction time. 551ms 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 5.1/10 (Developing), 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 95 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 | 24 | 12–12 | 50% | 0.01 |
 mirage | B | 21 | 11–10 | 52% | 0.02 |
 nuke | A | 14 | 9–5 | 64% | 0.02 |
 inferno | A | 11 | 6–5 | 55% | 0.01 |
 ancient | A | 10 | 6–4 | 60% | 0.01 |
 cache | A | 7 | 4–3 | 57% | -0.02 |
 anubis | — | 3 | 3–0 | 100% | 0.13 |
 vertigo | — | 3 | 3–0 | 100% | 0.08 |
 overpass | — | 1 | 0–1 | 0% | 0.00 |
| golden | — | 1 | 0–1 | 0% | 0.04 |
Across the last 95 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% over 24). Start with the 6 essential Dust 2 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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.7401% — below the 15% mark we flag
- 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 25.5843% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 12–16 | -0.02 | 13% | 28 Aug → | |
| mirage | 9–2 | 0.01 | 24% | 26 Aug → | |
| dust2 | 16–12 | -0.07 | 9% | 26 Aug → | |
| mirage | 13–11 | 0.06 | 13% | 26 Aug → | |
| mirage | 9–13 | -0.02 | 6% | 24 Aug → | |
| inferno | 13–9 | 0.04 | 18% | 24 Aug → | |
| ancient | 7–13 | -0.09 | 7% | 23 Aug → | |
| nuke | 16–13 | -0.03 | 8% | 23 Aug → | |
| nuke | 13–6 | 0.01 | 9% | 23 Aug → | |
| inferno | 11–13 | -0.02 | 8% | 22 Aug → | |
| cache | 6–13 | -0.05 | 12% | 22 Aug → | |
| mirage | 13–7 | -0.02 | 8% | 22 Aug → | |
| mirage | 7–13 | -0.08 | 10% | 22 Aug → | |
| cache | 13–2 | -0.06 | 13% | 22 Aug → | |
| mirage | 13–10 | -0.03 | 14% | 20 Aug → | |
| inferno | 11–5 | -0.01 | 12% | 20 Aug → | |
| nuke | 13–11 | -0.04 | 14% | 18 Aug → | |
| dust2 | 5–13 | -0.02 | 5% | 18 Aug → | |
| ancient | 13–10 | 0.03 | 19% | 17 Aug → | |
| dust2 | 0–5 | -0.05 | 0% | 17 Aug → | |
| nuke | 5–10 | 0.03 | 24% | 17 Aug → | |
| cache | 1–9 | -0.06 | 17% | 17 Aug → | |
| ancient | 14–16 | -0.03 | 10% | 17 Aug → | |
| inferno | 4–13 | -0.06 | 16% | 17 Aug → | |
| inferno | 9–13 | 0.02 | 14% | 14 Aug → | |
| ancient | 0–13 | -0.05 | 16% | 14 Aug → | |
| dust2 | 7–3 | 0.02 | 19% | 14 Aug → | |
| cache | 16–14 | 0.01 | 11% | 12 Aug → | |
| nuke | 13–6 | 0.03 | 25% | 11 Aug → | |
| dust2 | 10–13 | -0.02 | 19% | 10 Aug → | |
| inferno | 11–13 | -0.01 | 21% | 8 Aug → | |
| cache | 7–13 | -0.01 | 15% | 3 Aug → | |
| dust2 | 8–13 | -0.02 | 31% | 3 Aug → | |
| mirage | 13–9 | 0.00 | 20% | 2 Aug → | |
| inferno | 5–13 | -0.00 | 16% | 1 Aug → | |
| cache | 13–8 | 0.03 | 35% | 1 Aug → | |
| mirage | 0–8 | -0.01 | 33% | 1 Aug → | |
| mirage | 11–13 | -0.06 | 18% | 29 Jul → | |
| dust2 | 7–13 | -0.02 | 7% | 29 Jul → | |
| dust2 | 11–13 | 0.06 | 18% | 29 Jul → | |
| inferno | 13–8 | -0.05 | 14% | 29 Jul → | |
| cache | 16–13 | 0.02 | 15% | 14 Jul → | |
| ancient | 9–1 | 0.02 | 26% | 14 Jul → | |
| anubis | 13–7 | 0.03 | 7% | 14 Jul → | |
| inferno | 13–1 | 0.07 | 12% | 14 Jul → | |
| ancient | 13–4 | -0.05 | 6% | 14 Jul → | |
| ancient | 13–4 | 0.13 | 15% | 14 Jul → | |
| mirage | 10–13 | -0.04 | 13% | 14 Jul → | |
| dust2 | 13–1 | -0.02 | 7% | 13 Jul → | |
| nuke | 13–7 | 0.03 | 13% | 13 Jul → | |
| mirage | 13–1 | 0.02 | 18% | 13 Jul → | |
| inferno | 13–7 | 0.14 | 12% | 30 Apr → | |
| anubis | 12–10 | 0.07 | 14% | 20 Mar → | |
| ancient | 13–6 | 0.09 | 17% | 17 Mar → | |
| mirage | 16–13 | 0.12 | 13% | 16 Mar → | |
| dust2 | 13–6 | 0.05 | 7% | 9 Mar → | |
| nuke | 13–7 | 0.23 | 11% | 9 Mar → | |
| mirage | 11–13 | 0.06 | 21% | 9 Mar → | |
| mirage | 7–13 | -0.05 | 16% | 8 Mar → | |
| nuke | 0–13 | 0.01 | 18% | 8 Mar → | |
| nuke | 13–1 | -0.03 | 0% | 7 Mar → | |
| mirage | 10–13 | -0.01 | 11% | 5 Mar → | |
| ancient | 9–13 | 0.01 | 13% | 5 Mar → | |
| nuke | 6–13 | 0.00 | 17% | 4 Mar → | |
| dust2 | 12–16 | 0.03 | 18% | 3 Mar → | |
| mirage | 3–13 | 0.03 | 13% | 3 Mar → | |
| inferno | 13–11 | 0.01 | 18% | 3 Mar → | |
| mirage | 13–2 | 0.10 | 24% | 3 Mar → | |
| dust2 | 7–13 | -0.02 | 17% | 3 Mar → | |
| nuke | 13–10 | 0.00 | 12% | 24 Feb → | |
| mirage | 11–13 | 0.02 | 6% | 24 Feb → | |
| overpass | 12–12 | 0.00 | 15% | 24 Feb → | |
| ancient | 13–10 | 0.07 | 9% | 24 Feb → | |
| dust2 | 9–13 | 0.03 | 21% | 23 Feb → | |
| dust2 | 12–12 | 0.01 | 10% | 23 Feb → | |
| anubis | 13–0 | 0.29 | 11% | 23 Feb → | |
| dust2 | 13–5 | 0.03 | 18% | 20 Feb → | |
| nuke | 9–3 | 0.05 | 11% | 20 Feb → | |
| mirage | 13–6 | -0.01 | 16% | 20 Feb → | |
| vertigo | 13–6 | 0.14 | 21% | 17 Feb → | |
| dust2 | 13–5 | 0.04 | 24% | 17 Feb → | |
| vertigo | 13–9 | 0.04 | 21% | 14 Feb → | |
| vertigo | 13–10 | 0.05 | 14% | 14 Feb → | |
| dust2 | 13–8 | -0.01 | 13% | 14 Feb → | |
| dust2 | 3–13 | -0.07 | 6% | 22 Jan → | |
| mirage | 13–1 | 0.15 | 16% | 29 Dec → | |
| mirage | 13–3 | 0.26 | 11% | 29 Dec → | |
| golden | 10–13 | 0.04 | 11% | 19 Nov → | |
| dust2 | 8–2 | 0.06 | 16% | 19 Nov → | |
| dust2 | 5–13 | -0.02 | 25% | 20 Jun → | |
| dust2 | 13–4 | 0.13 | 14% | 19 Jun → | |
| dust2 | 13–4 | -0.01 | 3% | 18 Feb → | |
| dust2 | 13–2 | 0.10 | 21% | 18 Feb → | |
| dust2 | 13–9 | 0.03 | 13% | 17 Feb → | |
| nuke | 11–13 | 0.03 | 15% | 17 Feb → |
Match data via Leetify.
