sn0t — CS2 Stats
76561198269605395[U:1:309339667]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective 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 ropz 88% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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
Flashes. 0.75 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 31 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.
T-side openings. Opening success drops from 54% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 586ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| B | 32 | 15–17 | 47% | -0.03 | |
| B | 31 | 14–17 | 45% | -0.02 | |
| B | 13 | 7–6 | 54% | 0.00 | |
| A | 8 | 5–3 | 63% | -0.00 | |
| D | 6 | 2–4 | 33% | 0.01 | |
| B | 6 | 3–3 | 50% | -0.00 | |
| — | 4 | 1–3 | 25% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 36 | 50% | 0.81 | 13.3 |
| Ancient | 28 | 50% | 0.75 | 12.6 |
| Dust2 | 9 | 56% | 1.02 | 16.7 |
| Anubis | 9 | 67% | 0.96 | 16.3 |
| Inferno | 5 | 40% | 0.89 | 12.2 |
| Nuke | 4 | 25% | 0.74 | 11.8 |
| Train | 3 | 67% | 1.17 | 13.3 |
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 28.12% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.12 | 22% | 16 Mar → | ||
| 11–13 | -0.06 | 29% | 16 Mar → | ||
| 7–13 | -0.05 | 35% | 13 Mar → | ||
| 9–13 | 0.01 | 15% | 1 Mar → | ||
| 16–14 | -0.02 | 11% | 24 Feb → | ||
| 11–13 | -0.03 | 24% | 21 Feb → | ||
| 6–13 | -0.08 | 15% | 21 Feb → | ||
| 13–9 | -0.04 | 24% | 17 Feb → | ||
| 2–13 | -0.06 | 14% | 12 Feb → | ||
| 13–4 | -0.03 | 12% | 12 Feb → | ||
| 13–5 | -0.01 | 16% | 12 Feb → | ||
| 10–13 | -0.01 | 19% | 10 Feb → | ||
| 13–9 | 0.03 | 25% | 10 Feb → | ||
| 5–13 | -0.05 | 17% | 8 Feb → | ||
| 13–11 | -0.01 | 20% | 8 Feb → | ||
| 12–16 | -0.00 | 21% | 7 Feb → | ||
| 7–13 | -0.08 | 23% | 7 Feb → | ||
| 13–9 | -0.06 | 21% | 7 Feb → | ||
| 9–13 | -0.01 | 22% | 3 Feb → | ||
| 10–13 | -0.04 | 10% | 20 Jan → | ||
| 10–13 | -0.03 | 15% | 20 Jan → | ||
| 15–19 | -0.01 | 24% | 18 Jan → | ||
| 13–5 | 0.04 | 50% | 17 Jan → | ||
| 1–13 | -0.08 | 14% | 17 Jan → | ||
| 19–16 | -0.02 | 19% | 14 Jan → | ||
| 13–10 | -0.00 | 20% | 14 Jan → | ||
| 19–16 | -0.03 | 14% | 12 Jan → | ||
| 13–8 | -0.02 | 24% | 9 Jan → | ||
| 7–13 | -0.05 | 19% | 9 Jan → | ||
| 9–13 | -0.06 | 9% | 8 Jan → | ||
| 13–11 | 0.04 | 20% | 7 Jan → | ||
| 13–9 | 0.05 | 16% | 4 Jan → | ||
| 13–10 | 0.01 | 38% | 4 Jan → | ||
| 11–13 | -0.05 | 19% | 4 Jan → | ||
| 3–13 | -0.02 | 0% | 3 Jan → | ||
| 11–13 | 0.01 | 23% | 3 Jan → | ||
| 9–13 | -0.03 | 13% | 1 Jan → | ||
| 3–13 | -0.05 | 22% | 1 Jan → | ||
| 13–9 | -0.00 | 34% | 1 Jan → | ||
| 13–9 | -0.05 | 11% | 31 Dec → | ||
| 11–13 | -0.01 | 26% | 31 Dec → | ||
| 10–13 | 0.04 | 36% | 30 Dec → | ||
| 5–13 | -0.08 | 15% | 30 Dec → | ||
| 13–9 | 0.04 | 26% | 30 Dec → | ||
| 13–10 | 0.02 | 16% | 29 Dec → | ||
| 16–14 | -0.01 | 7% | 28 Dec → | ||
| 13–11 | -0.01 | 13% | 28 Dec → | ||
| 16–13 | -0.01 | 10% | 28 Dec → | ||
| 13–9 | 0.02 | 17% | 28 Dec → | ||
| 13–6 | -0.03 | 19% | 28 Dec → | ||
| 9–13 | 0.01 | 35% | 28 Dec → | ||
| 8–13 | -0.05 | 21% | 27 Dec → | ||
| 13–8 | -0.02 | 23% | 27 Dec → | ||
| 13–10 | 0.01 | 9% | 26 Dec → | ||
| 7–13 | -0.04 | 13% | 26 Dec → | ||
| 6–13 | -0.07 | 17% | 26 Dec → | ||
| 13–11 | -0.01 | 13% | 26 Dec → | ||
| 13–8 | 0.14 | 23% | 25 Dec → | ||
| 4–13 | -0.06 | 11% | 24 Dec → | ||
| 10–13 | -0.04 | 14% | 23 Dec → | ||
| 13–11 | -0.01 | 6% | 23 Dec → | ||
| 13–3 | -0.02 | 14% | 23 Dec → | ||
| 16–14 | -0.04 | 14% | 22 Dec → | ||
| 19–16 | 0.00 | 28% | 22 Dec → | ||
| 11–13 | 0.08 | 38% | 20 Dec → | ||
| 13–9 | -0.03 | 14% | 20 Dec → | ||
| 5–13 | -0.08 | 36% | 20 Dec → | ||
| 7–13 | -0.06 | 35% | 19 Dec → | ||
| 11–13 | -0.02 | 19% | 19 Dec → | ||
| 13–5 | 0.00 | 17% | 18 Dec → | ||
| 13–11 | 0.02 | 30% | 18 Dec → | ||
| 19–15 | -0.06 | 8% | 16 Dec → | ||
| 9–13 | 0.01 | 26% | 15 Dec → | ||
| 13–3 | -0.04 | 29% | 15 Dec → | ||
| 9–13 | -0.05 | 23% | 15 Dec → | ||
| 12–12 | 0.06 | 21% | 14 Dec → | ||
| 13–10 | 0.07 | 22% | 14 Dec → | ||
| 15–15 | -0.02 | 21% | 14 Dec → | ||
| 13–1 | 0.10 | 36% | 12 Dec → | ||
| 9–13 | -0.01 | 28% | 6 Dec → | ||
| 8–13 | -0.02 | 14% | 6 Dec → | ||
| 9–13 | -0.01 | 28% | 4 Dec → | ||
| 13–5 | 0.01 | 26% | 4 Dec → | ||
| 13–10 | 0.03 | 20% | 4 Dec → | ||
| 10–13 | 0.03 | 24% | 1 Dec → | ||
| 5–13 | -0.01 | 14% | 30 Nov → | ||
| 8–13 | -0.07 | 6% | 30 Nov → | ||
| 6–13 | -0.12 | 11% | 29 Nov → | ||
| 11–13 | -0.00 | 15% | 29 Nov → | ||
| 11–13 | -0.04 | 17% | 29 Nov → | ||
| 3–13 | -0.09 | 30% | 29 Nov → | ||
| 2–13 | -0.08 | 19% | 28 Nov → | ||
| 13–6 | -0.02 | 30% | 28 Nov → | ||
| 13–7 | 0.01 | 23% | 28 Nov → | ||
| 5–13 | -0.00 | 26% | 27 Nov → | ||
| 13–8 | -0.07 | 12% | 27 Nov → | ||
| 13–3 | 0.01 | 10% | 27 Nov → | ||
| 13–11 | 0.05 | 7% | 27 Nov → | ||
| 6–13 | 0.03 | 12% | 26 Nov → | ||
| 19–16 | 0.04 | 33% | 25 Nov → |
Match data via Leetify.