Snapo — CS2 Stats
76561198289711298[U:1:329445570]
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 | Level 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 50.9% | 49.0% | 52.0% | 1.1% short |
| Shot accuracy | 13.2% | 13.1% | 13.7% | 0.4% short |
| Kill/death ratio | 1.02 | 1.08 | 1.08 | 0.06 short |
| Match win rate | 47.3% | 46.9% | 48.8% | 1.5% short |
This profile sits below the typical Level 10 player on every metric we can compare.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 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: +20pp win rate · +0.04 avg rating
Player DNA
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 s1mple 87% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 61% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 599ms 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 5.6/10 (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 |
|---|---|---|---|---|---|
| B | 29 | 14–15 | 48% | 0.01 | |
| B | 23 | 12–11 | 52% | -0.01 | |
| C | 16 | 7–9 | 44% | -0.00 | |
| A | 12 | 7–5 | 58% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.05 | |
| S | 6 | 5–1 | 83% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Nuke 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 76 | 47% | 1.08 | 16.9 |
| Mirage | 61 | 49% | 1.00 | 17.3 |
| Ancient | 40 | 60% | 0.99 | 16.2 |
| Nuke | 33 | 48% | 1.15 | 17.2 |
| Inferno | 13 | 62% | 1.04 | 18.1 |
| Overpass | 12 | 58% | 1.50 | 20.6 |
| Cache | 9 | 67% | 1.40 | 23.4 |
| Anubis | 8 | 50% | 0.80 | 13.8 |
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.
44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.08 | 39% | 28 Jun → | ||
| 13–11 | 0.05 | 22% | 6 Jun → | ||
| 13–9 | -0.04 | 26% | 13 May → | ||
| 8–13 | 0.05 | 29% | 12 May → | ||
| 10–13 | 0.03 | 20% | 12 May → | ||
| 16–12 | 0.07 | 26% | 10 May → | ||
| 13–5 | 0.05 | 25% | 9 May → | ||
| 9–13 | 0.06 | 20% | 3 May → | ||
| 13–5 | 0.05 | 19% | 3 May → | ||
| 5–13 | 0.09 | 22% | 3 May → | ||
| 14–16 | 0.01 | 27% | 3 May → | ||
| 16–13 | 0.11 | 32% | 3 May → | ||
| 2–13 | 0.03 | 23% | 27 Apr → | ||
| 2–13 | -0.04 | 21% | 27 Apr → | ||
| 13–7 | -0.05 | 22% | 26 Apr → | ||
| 7–13 | -0.03 | 18% | 21 Apr → | ||
| 13–3 | 0.03 | 29% | 21 Apr → | ||
| 9–13 | 0.00 | 25% | 21 Apr → | ||
| 11–13 | 0.03 | 20% | 15 Apr → | ||
| 9–13 | -0.05 | 14% | 14 Apr → | ||
| 8–13 | 0.11 | 20% | 14 Apr → | ||
| 3–13 | -0.05 | 17% | 6 Apr → | ||
| 13–9 | 0.00 | 20% | 6 Apr → | ||
| 13–5 | 0.06 | 15% | 4 Apr → | ||
| 13–8 | 0.05 | 33% | 4 Apr → | ||
| 15–15 | 0.03 | 27% | 3 Apr → | ||
| 5–13 | 0.06 | 21% | 1 Apr → | ||
| 7–13 | -0.05 | 24% | 1 Apr → | ||
| 1–13 | 0.09 | 26% | 1 Apr → | ||
| 7–13 | 0.03 | 21% | 1 Apr → | ||
| 13–6 | -0.06 | 28% | 31 Mar → | ||
| 13–8 | 0.01 | 35% | 29 Mar → | ||
| 13–10 | 0.03 | 29% | 29 Mar → | ||
| 7–13 | -0.05 | 21% | 24 Mar → | ||
| 16–14 | -0.03 | 16% | 24 Mar → | ||
| 13–7 | 0.08 | 37% | 24 Mar → | ||
| 13–4 | 0.04 | 36% | 23 Mar → | ||
| 13–4 | 0.06 | 26% | 23 Mar → | ||
| 14–16 | 0.01 | 29% | 23 Mar → | ||
| 13–4 | 0.01 | 13% | 23 Mar → | ||
| 4–13 | -0.08 | 22% | 22 Mar → | ||
| 10–13 | -0.04 | 18% | 20 Mar → | ||
| 9–13 | -0.02 | 21% | 18 Mar → | ||
| 5–13 | -0.05 | 11% | 18 Mar → | ||
| 13–9 | -0.04 | 21% | 18 Mar → | ||
| 13–8 | 0.05 | 39% | 13 Mar → | ||
| 13–5 | 0.05 | 28% | 10 Mar → | ||
| 13–10 | -0.02 | 29% | 10 Mar → | ||
| 10–13 | -0.04 | 25% | 5 Mar → | ||
| 10–13 | -0.00 | 27% | 4 Mar → | ||
| 16–14 | 0.09 | 26% | 26 Feb → | ||
| 11–11 | 0.06 | 23% | 19 Feb → | ||
| 13–10 | 0.07 | 13% | 7 Feb → | ||
| 13–9 | -0.03 | 15% | 7 Feb → | ||
| 13–9 | 0.00 | 24% | 7 Feb → | ||
| 13–4 | 0.04 | 33% | 3 Feb → | ||
| 9–13 | 0.01 | 19% | 3 Feb → | ||
| 6–13 | -0.05 | 22% | 2 Feb → | ||
| 13–4 | 0.02 | 30% | 2 Feb → | ||
| 15–15 | -0.03 | 15% | 2 Feb → | ||
| 13–5 | 0.07 | 29% | 1 Feb → | ||
| 13–11 | 0.01 | 19% | 1 Feb → | ||
| 13–5 | 0.09 | 17% | 1 Feb → | ||
| 13–8 | 0.10 | 17% | 1 Feb → | ||
| 5–13 | -0.06 | 48% | 31 Jan → | ||
| 13–5 | 0.00 | 21% | 29 Jan → | ||
| 13–8 | -0.03 | 26% | 29 Jan → | ||
| 13–5 | 0.07 | 22% | 25 Jan → | ||
| 10–13 | 0.05 | 37% | 22 Jan → | ||
| 13–5 | 0.11 | 25% | 22 Jan → | ||
| 13–6 | -0.01 | 33% | 22 Jan → | ||
| 14–16 | -0.03 | 11% | 22 Jan → | ||
| 13–9 | 0.07 | 31% | 5 Jan → | ||
| 10–13 | -0.02 | 19% | 24 Dec → | ||
| 13–7 | 0.01 | 31% | 24 Dec → | ||
| 13–10 | 0.01 | 17% | 18 Dec → | ||
| 13–5 | 0.08 | 31% | 14 Dec → | ||
| 13–5 | 0.02 | 25% | 14 Dec → | ||
| 2–13 | -0.12 | 13% | 14 Dec → | ||
| 6–13 | -0.06 | 55% | 13 Dec → | ||
| 13–9 | 0.03 | 21% | 13 Dec → | ||
| 10–13 | -0.05 | 34% | 12 Dec → | ||
| 7–13 | 0.03 | 30% | 12 Dec → | ||
| 12–1 | 0.01 | 40% | 10 Dec → | ||
| 1–13 | -0.06 | 41% | 8 Dec → | ||
| 7–13 | 0.03 | 31% | 8 Dec → | ||
| 10–13 | 0.03 | 22% | 3 Dec → | ||
| 7–13 | -0.07 | 27% | 1 Dec → | ||
| 5–13 | -0.07 | 32% | 30 Nov → | ||
| 13–6 | 0.00 | 36% | 30 Nov → | ||
| 13–11 | -0.02 | 22% | 28 Nov → | ||
| 13–5 | 0.02 | 36% | 28 Nov → | ||
| 13–10 | 0.01 | 21% | 28 Nov → | ||
| 13–11 | -0.03 | 29% | 27 Nov → | ||
| 5–13 | -0.04 | 31% | 25 Nov → | ||
| 13–16 | -0.06 | 19% | 25 Nov → | ||
| 13–7 | -0.01 | 24% | 22 Nov → | ||
| 13–11 | 0.01 | 33% | 22 Nov → | ||
| 8–13 | -0.01 | 23% | 12 Nov → | ||
| 9–13 | -0.01 | 31% | 12 Nov → |
Match data via Leetify.