shn1tzel — CS2 Stats
SK76561199041389234[U:1:1081123506]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 50.6% | 46.1% | 47.0% | above |
| Shot accuracy | 17.5% | 12.6% | 12.7% | above |
| Kill/death ratio | 0.99 | 1.05 | 1.07 | 0.08 short |
| Match win rate | 49.3% | 45.7% | 46.4% | above |
This profile matches the typical Level 8 player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 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 · +0.01 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 b1t 87% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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
Areas to improve
Reaction time. 689ms 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 (×1.02 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 | 39 | 22–17 | 56% | 0.01 | |
| A | 12 | 7–5 | 58% | 0.01 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| D | 11 | 2–9 | 18% | -0.04 | |
| S | 10 | 8–2 | 80% | 0.00 | |
| B | 6 | 3–3 | 50% | -0.02 | |
| — | 4 | 0–4 | 0% | -0.07 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| rooftop | — | 1 | 0–1 | 0% | -0.19 |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 43% | 0.93 | 12.7 |
| Ancient | 5 | 20% | 0.79 | 11.2 |
| Anubis | 4 | 50% | 1.07 | 14.8 |
| Inferno | 3 | 33% | 0.53 | 8.7 |
| Nuke | 3 | 67% | 1.47 | 18.0 |
| Overpass | 3 | 0% | 0.96 | 16.3 |
| Vertigo | 2 | 0% | 0.81 | 10.5 |
| Dust2 | 1 | 0% | 0.53 | 8.0 |
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 34.7741% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.02 | 13% | 12 Jan → | ||
| 8–13 | -0.05 | 23% | 12 Jan → | ||
| 8–13 | -0.01 | 19% | 11 Jan → | ||
| 13–4 | 0.04 | 23% | 11 Jan → | ||
| 13–7 | 0.00 | 36% | 8 Jan → | ||
| 11–13 | -0.07 | 14% | 7 Jan → | ||
| 13–7 | 0.02 | 15% | 7 Jan → | ||
| 13–8 | 0.01 | 22% | 1 Jan → | ||
| 13–16 | -0.04 | 26% | 19 Dec → | ||
| 13–9 | -0.05 | 12% | 19 Dec → | ||
| 15–15 | -0.05 | 24% | 17 Dec → | ||
| 16–14 | -0.04 | 24% | 16 Dec → | ||
| 9–13 | -0.03 | 23% | 13 Dec → | ||
| 9–3 | 0.15 | 22% | 13 Dec → | ||
| rooftop | 0–9 | -0.19 | 0% | 13 Dec → | |
| 13–6 | 0.05 | 13% | 12 Dec → | ||
| 13–11 | 0.03 | 28% | 4 Dec → | ||
| 1–13 | -0.03 | 18% | 23 Nov → | ||
| 4–13 | -0.11 | 31% | 23 Nov → | ||
| 11–13 | -0.04 | 17% | 18 Nov → | ||
| 13–11 | -0.02 | 19% | 18 Nov → | ||
| 13–8 | 0.09 | 23% | 17 Oct → | ||
| 4–13 | -0.01 | 29% | 7 Sept → | ||
| 0–4 | -0.10 | 0% | 17 Aug → | ||
| 13–4 | -0.07 | 22% | 4 Aug → | ||
| 13–3 | 0.02 | 13% | 3 Aug → | ||
| 13–11 | 0.03 | 37% | 23 Jul → | ||
| 13–10 | -0.00 | 15% | 17 Jul → | ||
| 5–13 | 0.05 | 43% | 30 Jun → | ||
| 11–13 | -0.04 | 15% | 19 Jun → | ||
| 13–7 | 0.02 | 18% | 18 Jun → | ||
| 6–13 | 0.01 | 15% | 17 Jun → | ||
| 8–1 | 0.15 | 32% | 15 Jun → | ||
| 13–8 | -0.01 | 19% | 15 Jun → | ||
| 4–13 | -0.04 | 19% | 15 Jun → | ||
| 10–13 | -0.00 | 32% | 13 Jun → | ||
| 13–8 | -0.00 | 27% | 12 Jun → | ||
| 13–11 | -0.04 | 23% | 6 Jun → | ||
| 10–13 | -0.01 | 32% | 4 Jun → | ||
| 12–2 | 0.07 | 17% | 20 May → | ||
| 13–5 | -0.00 | 35% | 17 May → | ||
| 13–11 | -0.09 | 17% | 17 May → | ||
| 13–3 | -0.05 | 40% | 26 Apr → | ||
| 13–0 | 0.09 | 33% | 6 Apr → | ||
| 8–13 | -0.05 | 12% | 3 Apr → | ||
| 8–13 | 0.06 | 40% | 1 Apr → | ||
| 10–13 | -0.00 | 31% | 1 Apr → | ||
| 3–13 | -0.11 | 29% | 1 Apr → | ||
| 1–13 | -0.08 | 29% | 30 Mar → | ||
| 9–13 | -0.04 | 12% | 20 Mar → | ||
| 10–13 | -0.03 | 24% | 16 Mar → | ||
| 10–1 | -0.04 | 17% | 1 Mar → | ||
| 3–13 | 0.01 | 29% | 15 Nov → | ||
| 16–12 | 0.01 | 17% | 15 Nov → | ||
| 13–6 | -0.01 | 17% | 15 Nov → | ||
| 10–13 | 0.15 | 33% | 14 Nov → | ||
| 13–6 | -0.02 | 16% | 7 May → | ||
| 13–5 | -0.01 | 39% | 30 Apr → | ||
| 13–8 | 0.21 | 39% | 12 Apr → | ||
| 13–10 | 0.12 | 21% | 9 Apr → | ||
| 4–13 | -0.00 | 32% | 28 Mar → | ||
| 13–7 | -0.04 | 20% | 4 Mar → | ||
| 8–13 | 0.03 | 19% | 3 Mar → | ||
| 13–4 | 0.05 | 26% | 3 Mar → | ||
| 6–13 | -0.11 | 50% | 18 Feb → | ||
| 16–14 | 0.03 | 43% | 13 Feb → | ||
| 13–4 | 0.07 | 30% | 8 Feb → | ||
| 14–16 | -0.05 | 27% | 6 Feb → | ||
| 13–4 | -0.12 | 0% | 28 Jan → | ||
| 13–10 | 0.06 | 31% | 28 Jan → | ||
| 13–8 | 0.06 | 30% | 27 Jan → | ||
| 13–6 | -0.07 | 22% | 27 Jan → | ||
| 13–5 | 0.08 | 17% | 27 Jan → | ||
| 7–13 | -0.02 | 27% | 27 Jan → | ||
| 13–3 | 0.02 | 31% | 26 Jan → | ||
| 10–13 | -0.08 | 26% | 22 Jan → | ||
| 16–14 | -0.04 | 21% | 16 Jan → | ||
| 6–13 | -0.08 | 7% | 16 Jan → | ||
| 10–13 | 0.11 | 36% | 15 Jan → | ||
| 13–4 | 0.00 | 28% | 10 Jan → | ||
| 5–13 | -0.10 | 22% | 10 Jan → | ||
| 3–7 | -0.16 | 20% | 9 Jan → | ||
| 13–6 | -0.04 | 18% | 9 Jan → | ||
| 13–16 | -0.04 | 26% | 8 Jan → | ||
| 15–15 | -0.00 | 27% | 5 Jan → | ||
| 9–13 | -0.04 | 20% | 4 Jan → | ||
| 10–13 | -0.03 | 13% | 4 Jan → | ||
| 6–13 | -0.05 | 24% | 13 Dec → | ||
| 13–8 | 0.09 | 22% | 8 Dec → | ||
| 11–13 | -0.06 | 11% | 5 Dec → | ||
| 6–13 | -0.06 | 37% | 5 Dec → | ||
| 7–1 | 0.03 | 4% | 1 Dec → | ||
| 13–9 | -0.01 | 25% | 29 Nov → | ||
| 15–15 | 0.07 | 19% | 29 Nov → | ||
| 12–16 | -0.05 | 20% | 27 Nov → | ||
| 13–3 | 0.05 | 9% | 24 Nov → | ||
| 13–7 | 0.04 | 22% | 24 Nov → | ||
| 6–13 | 0.03 | 35% | 23 Oct → | ||
| 11–13 | 0.05 | 28% | 9 Oct → | ||
| 11–13 | -0.03 | 46% | 4 Oct → |
Match data via Leetify.