I want a cookie — CS2 Stats
US76561198060690182[U:1:100424454]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 87% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; lower aim 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
Strengths
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 661ms 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 5.2/10 (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 74 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 | 18 | 11–7 | 61% | 0.03 | |
| S | 15 | 10–5 | 67% | -0.01 | |
| B | 15 | 7–8 | 47% | 0.01 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 4 | 1–3 | 25% | -0.00 | |
| — | 3 | 2–1 | 67% | -0.00 | |
| — | 2 | 0–2 | 0% | -0.04 |
Across the last 74 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 38 | 55% | 1.22 | 16.3 |
| Ancient | 16 | 38% | 0.88 | 15.4 |
| Inferno | 15 | 40% | 1.11 | 18.3 |
| Dust2 | 14 | 57% | 1.33 | 16.9 |
| Cache | 12 | 58% | 1.10 | 17.2 |
| Overpass | 6 | 50% | 1.33 | 23.2 |
| Nuke | 6 | 67% | 0.91 | 16.3 |
| Anubis | 6 | 83% | 0.91 | 16.2 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.09 | 28% | 21 Jul → | ||
| 8–13 | 0.05 | 12% | 20 Jul → | ||
| 4–13 | -0.03 | 16% | 19 Jul → | ||
| 13–11 | -0.02 | 19% | 17 Jul → | ||
| 9–13 | -0.07 | 18% | 13 Jul → | ||
| 13–11 | -0.03 | 18% | 27 Jun → | ||
| 16–19 | 0.04 | 11% | 26 Jun → | ||
| 11–13 | 0.02 | 27% | 24 Jun → | ||
| 3–13 | -0.09 | 8% | 23 Jun → | ||
| 9–13 | -0.03 | 8% | 23 Jun → | ||
| 13–10 | 0.02 | 25% | 23 Jun → | ||
| 10–13 | -0.04 | 11% | 22 Jun → | ||
| 9–13 | -0.06 | 30% | 16 Jun → | ||
| 2–13 | -0.04 | 30% | 31 May → | ||
| 11–13 | -0.05 | 8% | 10 Mar → | ||
| 13–6 | 0.00 | 32% | 6 Mar → | ||
| 8–13 | 0.00 | 34% | 6 Mar → | ||
| 13–11 | 0.08 | 22% | 3 Mar → | ||
| 13–9 | 0.01 | 12% | 2 Mar → | ||
| 13–9 | -0.01 | 29% | 3 Nov → | ||
| 11–13 | -0.04 | 29% | 12 Aug → | ||
| 13–11 | 0.07 | 27% | 10 Aug → | ||
| 19–15 | 0.06 | 21% | 8 Aug → | ||
| 13–11 | 0.06 | 25% | 6 Aug → | ||
| 7–13 | 0.02 | 9% | 5 Aug → | ||
| 8–13 | -0.08 | 14% | 5 Aug → | ||
| 10–13 | -0.00 | 22% | 5 Aug → | ||
| 5–13 | -0.05 | 18% | 4 Aug → | ||
| 2–13 | -0.03 | 35% | 4 Aug → | ||
| 12–12 | 0.11 | 36% | 4 Aug → | ||
| 13–10 | -0.00 | 14% | 3 Aug → | ||
| 2–13 | -0.11 | 21% | 2 Aug → | ||
| 13–10 | 0.08 | 23% | 30 Jul → | ||
| 13–11 | 0.00 | 19% | 30 Jul → | ||
| 13–9 | 0.06 | 44% | 29 Jul → | ||
| 13–1 | 0.14 | 28% | 28 Jul → | ||
| 13–4 | 0.06 | 16% | 28 Jul → | ||
| 3–13 | 0.05 | 28% | 27 Jul → | ||
| 13–5 | 0.06 | 23% | 27 Jul → | ||
| 8–13 | -0.03 | 40% | 23 Jul → | ||
| 13–9 | -0.04 | 42% | 23 Jul → | ||
| 8–13 | 0.10 | 24% | 20 Jul → | ||
| 13–7 | 0.04 | 30% | 20 Jul → | ||
| 13–7 | 0.12 | 34% | 20 Jul → | ||
| 8–13 | 0.03 | 31% | 20 Jul → | ||
| 13–8 | -0.03 | 22% | 20 Jul → | ||
| 13–9 | -0.03 | 9% | 19 Jul → | ||
| 13–5 | 0.11 | 27% | 19 Jul → | ||
| 0–13 | -0.15 | 0% | 19 Jul → | ||
| 4–13 | 0.03 | 15% | 18 Jul → | ||
| 13–8 | 0.04 | 30% | 18 Jul → | ||
| 6–13 | 0.02 | 15% | 18 Jul → | ||
| 13–10 | 0.01 | 28% | 16 Jul → | ||
| 4–13 | -0.05 | 7% | 16 Jul → | ||
| 13–2 | 0.06 | 38% | 16 Jul → | ||
| 13–11 | 0.03 | 18% | 16 Jul → | ||
| 13–5 | -0.04 | 38% | 8 Jul → | ||
| 4–13 | 0.03 | 22% | 8 Jul → | ||
| 13–10 | -0.01 | 29% | 18 Jun → | ||
| 13–4 | -0.07 | 16% | 24 May → | ||
| 13–6 | 0.02 | 26% | 11 Mar → | ||
| 7–13 | -0.02 | 10% | 14 May → | ||
| 13–10 | -0.01 | 20% | 28 Sept → | ||
| 5–9 | -0.05 | 6% | 8 Sept → | ||
| 6–16 | 0.00 | 38% | 27 Jun → | ||
| 6–16 | -0.04 | 18% | 3 May → | ||
| 4–16 | -0.05 | 15% | 7 Sept → | ||
| 16–12 | 0.04 | 18% | 7 Sept → | ||
| 15–15 | 0.00 | 16% | 18 Jan → | ||
| 16–13 | 0.00 | 10% | 16 Jan → | ||
| 13–16 | 0.00 | 4% | 16 Jan → | ||
| 16–12 | 0.00 | 10% | 13 Jan → | ||
| 16–10 | 0.00 | 10% | 25 Dec → | ||
| 6–16 | 0.00 | 11% | 23 May → |
Match data via Leetify.