s1nx3r — CS2 Stats
76561198387909081[U:1:427643353]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| A | 30 | 17–13 | 57% | 0.04 | |
| A | 23 | 14–9 | 61% | 0.01 | |
| C | 18 | 8–10 | 44% | 0.00 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| D | 5 | 1–4 | 20% | 0.03 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 3 | 0–3 | 0% | 0.00 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.05 | |
| office | — | 2 | 0–2 | 0% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsLLWLW
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.
- 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 14.5217% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7593 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.11 | 15% | 20 Aug → | ||
| 13–8 | 0.08 | 11% | 18 Aug → | ||
| 13–10 | 0.02 | 13% | 17 Aug → | ||
| 11–13 | 0.13 | 12% | 5 Aug → | ||
| 7–13 | 0.01 | 18% | 4 Aug → | ||
| 6–13 | 0.05 | 8% | 4 Aug → | ||
| 13–7 | 0.01 | 24% | 3 Aug → | ||
| 13–8 | 0.01 | 8% | 2 Aug → | ||
| 13–4 | 0.00 | 16% | 1 Aug → | ||
| 7–13 | 0.02 | 24% | 31 Jul → | ||
| 10–13 | 0.06 | 9% | 31 Jul → | ||
| 13–9 | 0.07 | 15% | 30 Jul → | ||
| 13–11 | 0.12 | 14% | 29 Jul → | ||
| 4–13 | -0.14 | 29% | 29 Jul → | ||
| 13–7 | 0.05 | 5% | 29 Jul → | ||
| 10–13 | 0.02 | 9% | 29 Jul → | ||
| 13–11 | 0.03 | 16% | 29 Jul → | ||
| 13–7 | 0.05 | 16% | 29 Jul → | ||
| 13–2 | 0.06 | 18% | 27 Jul → | ||
| 0–10 | -0.02 | 18% | 24 Jul → | ||
| 8–13 | 0.06 | 24% | 23 Jul → | ||
| 1–7 | -0.03 | 30% | 23 Jul → | ||
| 13–10 | 0.00 | 11% | 22 Jul → | ||
| 12–12 | 0.07 | 10% | 22 Jul → | ||
| 13–5 | 0.06 | 19% | 18 Jul → | ||
| 13–9 | 0.08 | 15% | 17 Jul → | ||
| 9–13 | 0.02 | 10% | 17 Jul → | ||
| 6–13 | 0.06 | 9% | 15 Jul → | ||
| 4–13 | 0.16 | 14% | 15 Jul → | ||
| 13–4 | 0.06 | 16% | 14 Jul → | ||
| 6–13 | 0.05 | 11% | 13 Jul → | ||
| 13–2 | 0.04 | 15% | 13 Jul → | ||
| 12–16 | 0.03 | 16% | 13 Jul → | ||
| 9–13 | 0.03 | 4% | 12 Jul → | ||
| 9–13 | 0.08 | 29% | 12 Jul → | ||
| 13–6 | 0.03 | 9% | 12 Jul → | ||
| 13–8 | 0.14 | 11% | 11 Jul → | ||
| 12–12 | 0.13 | 15% | 11 Jul → | ||
| 13–4 | -0.02 | 6% | 11 Jul → | ||
| office | 12–12 | 0.05 | 13% | 10 Jul → | |
| office | 3–13 | -0.01 | 19% | 10 Jul → | |
| 13–10 | 0.01 | 9% | 9 Jul → | ||
| 4–13 | 0.03 | 17% | 9 Jul → | ||
| 5–13 | -0.06 | 8% | 9 Jul → | ||
| 6–13 | -0.03 | 17% | 9 Jul → | ||
| 13–3 | 0.09 | 4% | 9 Jul → | ||
| 13–8 | -0.00 | 19% | 9 Jul → | ||
| 13–11 | 0.04 | 12% | 6 Jul → | ||
| 5–13 | -0.02 | 20% | 6 Jul → | ||
| 8–13 | -0.06 | 11% | 5 Jul → | ||
| 13–10 | -0.03 | 4% | 4 Jul → | ||
| 16–14 | -0.02 | 14% | 4 Jul → | ||
| 13–7 | 0.02 | 12% | 2 Jul → | ||
| 11–13 | -0.03 | 6% | 2 Jul → | ||
| 8–13 | 0.00 | 7% | 2 Jul → | ||
| 5–13 | -0.03 | 9% | 24 Jun → | ||
| 13–9 | 0.02 | 22% | 23 Jun → | ||
| 11–13 | -0.02 | 13% | 20 Jun → | ||
| 13–11 | 0.04 | 17% | 13 Jun → | ||
| 13–7 | -0.03 | 7% | 12 Jun → | ||
| 13–2 | 0.01 | 8% | 12 Jun → | ||
| 13–5 | 0.05 | 11% | 11 Jun → | ||
| 13–8 | 0.05 | 13% | 11 Jun → | ||
| 13–9 | 0.01 | 19% | 11 Jun → | ||
| 13–10 | 0.04 | 14% | 11 Jun → | ||
| 0–7 | -0.08 | 0% | 11 Jun → | ||
| 5–13 | 0.14 | 24% | 11 Jun → | ||
| 8–13 | 0.01 | 14% | 10 Jun → | ||
| 13–4 | 0.03 | 19% | 10 Jun → | ||
| 11–13 | 0.02 | 8% | 10 Jun → | ||
| 13–7 | 0.00 | 3% | 8 Jun → | ||
| 9–13 | -0.03 | 6% | 1 Jun → | ||
| 3–13 | -0.03 | 8% | 25 May → | ||
| 0–11 | -0.06 | 17% | 21 May → | ||
| 0–13 | -0.11 | 14% | 21 May → | ||
| 7–13 | 0.03 | 18% | 17 May → | ||
| 13–8 | -0.07 | 9% | 17 May → | ||
| 13–8 | 0.06 | 16% | 17 May → | ||
| 6–13 | -0.01 | 26% | 16 May → | ||
| 13–7 | 0.01 | 9% | 15 May → | ||
| 11–13 | -0.05 | 7% | 14 May → | ||
| 13–5 | -0.03 | 24% | 13 May → | ||
| 8–13 | -0.02 | 11% | 13 May → | ||
| 13–4 | 0.03 | 13% | 12 May → | ||
| 1–13 | -0.08 | 20% | 12 May → | ||
| 1–13 | -0.03 | 15% | 12 May → | ||
| 9–13 | 0.01 | 16% | 12 May → | ||
| 10–13 | -0.03 | 26% | 12 May → | ||
| 13–11 | -0.02 | 17% | 12 May → | ||
| 10–13 | 0.04 | 10% | 12 May → | ||
| 9–13 | 0.03 | 24% | 12 May → | ||
| 2–13 | -0.09 | 12% | 12 May → | ||
| 16–14 | -0.05 | 30% | 12 May → | ||
| 13–3 | 0.01 | 17% | 12 May → | ||
| 13–11 | 0.07 | 16% | 11 May → | ||
| 13–10 | -0.01 | 13% | 11 May → | ||
| 13–4 | 0.06 | 14% | 11 May → | ||
| 13–6 | 0.02 | 15% | 10 May → | ||
| 13–7 | 0.04 | 26% | 10 May → | ||
| 15–15 | 0.07 | 17% | 10 May → |
Match data via Leetify.