nok — CS2 Stats
76561198065197221[U:1:104931493]
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 38.1% | 44.1% | 47.2% | 9.1% short |
| Shot accuracy | 15.3% | 11.4% | 12.7% | above |
| Kill/death ratio | 1.11 | 1.03 | 1.09 | above |
| Match win rate | 44.4% | 45.2% | 46.6% | 2.2% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. 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: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingEffective flashes
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 iM 94% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: higher opening-fight frequency.
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
Reaction time. 572ms 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 6.9/10 (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 | C | 19 | 8–11 | 42% | 0.01 |
 dust2 | C | 19 | 8–11 | 42% | 0.01 |
 inferno | C | 17 | 6–11 | 35% | 0.00 |
 nuke | C | 16 | 7–9 | 44% | 0.01 |
 ancient | A | 10 | 6–4 | 60% | -0.01 |
 cache | D | 10 | 3–7 | 30% | 0.02 |
 anubis | D | 7 | 2–5 | 29% | 0.00 |
 train | — | 1 | 1–0 | 100% | 0.04 |
| office | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis 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 resultsWLWLL
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–8 | 0.03 | 14% | 28 Aug → | |
| anubis | 8–13 | -0.02 | 18% | 28 Aug → | |
| cache | 13–8 | 0.01 | 11% | 28 Aug → | |
| mirage | 13–5 | 0.01 | 15% | 27 Aug → | |
| inferno | 11–13 | -0.04 | 17% | 27 Aug → | |
| inferno | 10–13 | 0.02 | 13% | 26 Aug → | |
| mirage | 13–8 | 0.04 | 17% | 26 Aug → | |
| cache | 8–13 | -0.04 | 14% | 23 Aug → | |
| nuke | 13–9 | 0.02 | 17% | 23 Aug → | |
| ancient | 8–13 | -0.03 | 15% | 23 Aug → | |
| inferno | 11–13 | -0.04 | 19% | 23 Aug → | |
| dust2 | 5–13 | 0.05 | 19% | 22 Aug → | |
| mirage | 10–13 | 0.01 | 25% | 22 Aug → | |
| dust2 | 5–13 | 0.01 | 24% | 22 Aug → | |
| inferno | 8–8 | 0.05 | 9% | 22 Aug → | |
| anubis | 6–13 | -0.04 | 20% | 20 Aug → | |
| nuke | 13–10 | 0.05 | 17% | 20 Aug → | |
| dust2 | 13–9 | -0.01 | 27% | 20 Aug → | |
| mirage | 13–8 | 0.07 | 17% | 16 Aug → | |
| nuke | 13–10 | 0.06 | 14% | 16 Aug → | |
| dust2 | 10–13 | -0.03 | 22% | 9 Aug → | |
| mirage | 13–3 | -0.03 | 8% | 8 Aug → | |
| inferno | 3–13 | -0.05 | 11% | 8 Aug → | |
| dust2 | 16–12 | 0.00 | 10% | 8 Aug → | |
| nuke | 8–13 | -0.04 | 10% | 8 Aug → | |
| nuke | 6–13 | -0.03 | 21% | 8 Aug → | |
| anubis | 13–8 | 0.00 | 13% | 8 Aug → | |
| train | 13–6 | 0.04 | 30% | 8 Aug → | |
| inferno | 13–8 | 0.04 | 17% | 6 Aug → | |
| nuke | 11–13 | 0.09 | 25% | 6 Aug → | |
| dust2 | 13–9 | 0.06 | 15% | 6 Aug → | |
| dust2 | 11–13 | 0.01 | 16% | 5 Aug → | |
| cache | 11–13 | 0.06 | 21% | 4 Aug → | |
| dust2 | 13–6 | -0.01 | 14% | 4 Aug → | |
| inferno | 13–8 | 0.02 | 13% | 4 Aug → | |
| ancient | 7–13 | -0.05 | 17% | 4 Aug → | |
| mirage | 9–13 | 0.02 | 27% | 4 Aug → | |
| nuke | 10–13 | 0.03 | 12% | 2 Aug → | |
| anubis | 10–13 | 0.01 | 13% | 2 Aug → | |
| dust2 | 3–13 | 0.03 | 24% | 2 Aug → | |
| nuke | 5–13 | -0.04 | 22% | 2 Aug → | |
| inferno | 10–13 | 0.04 | 12% | 2 Aug → | |
| cache | 6–13 | 0.03 | 15% | 2 Aug → | |
| dust2 | 3–13 | -0.07 | 17% | 2 Aug → | |
| inferno | 10–13 | -0.04 | 12% | 2 Aug → | |
| mirage | 0–13 | -0.05 | 33% | 2 Aug → | |
| ancient | 8–13 | -0.01 | 24% | 1 Aug → | |
| inferno | 2–13 | -0.07 | 8% | 1 Aug → | |
| inferno | 13–9 | -0.02 | 20% | 31 Jul → | |
| inferno | 9–13 | -0.04 | 10% | 31 Jul → | |
| ancient | 13–6 | -0.00 | 22% | 31 Jul → | |
| inferno | 13–6 | 0.11 | 24% | 30 Jul → | |
| mirage | 13–0 | 0.14 | 25% | 30 Jul → | |
| inferno | 13–9 | 0.01 | 18% | 30 Jul → | |
| dust2 | 16–14 | 0.04 | 19% | 29 Jul → | |
| mirage | 14–16 | -0.01 | 5% | 29 Jul → | |
| dust2 | 7–13 | -0.06 | 11% | 29 Jul → | |
| mirage | 3–13 | -0.03 | 20% | 29 Jul → | |
| cache | 12–12 | -0.02 | 20% | 28 Jul → | |
| mirage | 13–10 | 0.03 | 34% | 26 Jul → | |
| ancient | 13–8 | -0.03 | 17% | 26 Jul → | |
| mirage | 8–13 | 0.03 | 15% | 26 Jul → | |
| ancient | 13–11 | -0.01 | 10% | 26 Jul → | |
| dust2 | 13–1 | 0.20 | 36% | 26 Jul → | |
| nuke | 16–14 | 0.04 | 13% | 20 Jul → | |
| mirage | 13–3 | 0.10 | 18% | 20 Jul → | |
| nuke | 13–9 | 0.05 | 19% | 20 Jul → | |
| dust2 | 11–13 | -0.04 | 15% | 20 Jul → | |
| ancient | 13–3 | 0.08 | 13% | 20 Jul → | |
| mirage | 3–13 | 0.05 | 16% | 20 Jul → | |
| office | 13–10 | -0.04 | 27% | 20 Jul → | |
| dust2 | 13–10 | -0.01 | 17% | 20 Jul → | |
| nuke | 6–13 | -0.08 | 8% | 19 Jul → | |
| nuke | 16–13 | 0.04 | 6% | 18 Jul → | |
| cache | 13–7 | 0.02 | 13% | 18 Jul → | |
| dust2 | 13–8 | 0.08 | 16% | 18 Jul → | |
| nuke | 8–13 | -0.08 | 12% | 18 Jul → | |
| inferno | 8–13 | -0.01 | 16% | 18 Jul → | |
| anubis | 3–13 | 0.01 | 16% | 17 Jul → | |
| mirage | 4–13 | -0.03 | 21% | 17 Jul → | |
| mirage | 11–13 | -0.03 | 9% | 17 Jul → | |
| nuke | 11–13 | 0.03 | 15% | 17 Jul → | |
| cache | 6–13 | -0.03 | 17% | 17 Jul → | |
| mirage | 13–6 | 0.01 | 10% | 17 Jul → | |
| dust2 | 10–13 | -0.02 | 20% | 17 Jul → | |
| inferno | 8–13 | 0.04 | 14% | 17 Jul → | |
| nuke | 8–13 | -0.06 | 9% | 17 Jul → | |
| anubis | 5–13 | 0.03 | 16% | 16 Jul → | |
| anubis | 13–5 | 0.03 | 7% | 16 Jul → | |
| cache | 13–16 | 0.02 | 14% | 16 Jul → | |
| cache | 10–3 | 0.07 | 3% | 16 Jul → | |
| mirage | 11–13 | -0.03 | 15% | 16 Jul → | |
| ancient | 5–13 | -0.06 | 8% | 16 Jul → | |
| dust2 | 6–13 | -0.04 | 10% | 16 Jul → | |
| cache | 11–13 | 0.04 | 16% | 16 Jul → | |
| dust2 | 3–13 | -0.07 | 3% | 16 Jul → | |
| ancient | 13–9 | -0.00 | 16% | 16 Jul → | |
| inferno | 13–8 | 0.03 | 2% | 16 Jul → | |
| nuke | 13–8 | 0.01 | 21% | 16 Jul → | |
| mirage | 11–13 | -0.05 | 11% | 16 Jul → |
Match data via Leetify.
