sad — CS2 Stats
76561198284927868[U:1:324662140]✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 46.5% | 42.1% | 42.5% | above |
| Shot accuracy | 16.4% | 12.1% | 10.9% | above |
| Kill/death ratio | 1.07 | 0.99 | 0.99 | above |
| Match win rate | 46.8% | 43.9% | 44.2% | above |
Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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: positioning profile, utility contribution.
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. 596ms 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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 34 | 17–17 | 50% | 0.02 | |
| B | 28 | 13–15 | 46% | 0.01 | |
| B | 23 | 12–11 | 52% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| office | — | 2 | 1–1 | 50% | -0.01 |
| — | 1 | 0–1 | 0% | 0.04 | |
| — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (46% over 28). Start with the 6 essential Dust 2 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.
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.
46% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.00 | 19% | 28 Aug → | ||
| 13–11 | -0.05 | 25% | 28 Aug → | ||
| 13–3 | 0.08 | 26% | 21 Aug → | ||
| 13–11 | -0.01 | 15% | 20 Aug → | ||
| 8–13 | 0.00 | 20% | 20 Aug → | ||
| 8–13 | 0.07 | 19% | 20 Aug → | ||
| 13–5 | -0.01 | 15% | 20 Aug → | ||
| 13–3 | 0.01 | 23% | 20 Aug → | ||
| 11–13 | 0.05 | 28% | 20 Aug → | ||
| 13–4 | 0.15 | 26% | 20 Aug → | ||
| 3–13 | -0.04 | 14% | 18 Aug → | ||
| 13–6 | -0.03 | 20% | 18 Aug → | ||
| 13–8 | 0.00 | 27% | 13 Aug → | ||
| 12–12 | 0.02 | 19% | 13 Aug → | ||
| 2–7 | 0.15 | 29% | 11 Aug → | ||
| 13–7 | 0.03 | 18% | 10 Aug → | ||
| 13–7 | 0.11 | 36% | 10 Aug → | ||
| 1–13 | -0.04 | 22% | 10 Aug → | ||
| 9–13 | 0.05 | 25% | 10 Aug → | ||
| 10–13 | 0.00 | 19% | 9 Aug → | ||
| 10–13 | 0.00 | 19% | 9 Aug → | ||
| 13–11 | 0.09 | 26% | 9 Aug → | ||
| 13–1 | -0.00 | 17% | 8 Aug → | ||
| 16–14 | 0.03 | 24% | 7 Aug → | ||
| office | 13–9 | -0.03 | 23% | 5 Aug → | |
| 13–5 | 0.07 | 25% | 5 Aug → | ||
| 12–12 | 0.04 | 13% | 5 Aug → | ||
| 7–13 | 0.03 | 18% | 4 Aug → | ||
| 13–9 | 0.01 | 26% | 4 Aug → | ||
| office | 3–13 | 0.01 | 31% | 4 Aug → | |
| 6–13 | 0.01 | 33% | 4 Aug → | ||
| 5–13 | 0.13 | 19% | 3 Aug → | ||
| 13–0 | -0.02 | 31% | 3 Aug → | ||
| 13–8 | 0.00 | 12% | 3 Aug → | ||
| 13–1 | 0.33 | 31% | 3 Aug → | ||
| 13–1 | 0.17 | 35% | 3 Aug → | ||
| 10–13 | 0.05 | 15% | 31 Jul → | ||
| 13–3 | 0.04 | 19% | 31 Jul → | ||
| 3–13 | 0.03 | 22% | 31 Jul → | ||
| 10–13 | 0.04 | 26% | 31 Jul → | ||
| 9–13 | -0.05 | 19% | 30 Jul → | ||
| 10–13 | -0.05 | 24% | 30 Jul → | ||
| 13–11 | 0.03 | 25% | 30 Jul → | ||
| 13–9 | -0.04 | 17% | 30 Jul → | ||
| 13–6 | 0.02 | 20% | 30 Jul → | ||
| 13–10 | -0.02 | 28% | 29 Jul → | ||
| 10–4 | 0.02 | 33% | 29 Jul → | ||
| 13–6 | 0.03 | 21% | 28 Jul → | ||
| 13–6 | 0.09 | 25% | 28 Jul → | ||
| 16–12 | -0.03 | 19% | 27 Jul → | ||
| 13–6 | 0.09 | 24% | 27 Jul → | ||
| 5–13 | 0.07 | 32% | 27 Jul → | ||
| 13–8 | -0.00 | 28% | 26 Jul → | ||
| 9–13 | -0.03 | 16% | 26 Jul → | ||
| 3–13 | -0.03 | 28% | 26 Jul → | ||
| 3–13 | 0.08 | 22% | 25 Jul → | ||
| 7–11 | -0.02 | 14% | 25 Jul → | ||
| 13–5 | 0.11 | 21% | 25 Jul → | ||
| 12–12 | 0.01 | 25% | 24 Jul → | ||
| 2–13 | 0.04 | 40% | 24 Jul → | ||
| 3–13 | -0.06 | 22% | 20 Jul → | ||
| 8–13 | -0.06 | 23% | 16 Jul → | ||
| 4–13 | -0.03 | 15% | 16 Jul → | ||
| 3–13 | -0.03 | 53% | 13 Jul → | ||
| 5–13 | -0.03 | 15% | 11 Jul → | ||
| 13–9 | -0.02 | 47% | 10 Jul → | ||
| 13–3 | -0.03 | 19% | 10 Jul → | ||
| 13–6 | -0.01 | 22% | 10 Jul → | ||
| 10–13 | -0.00 | 29% | 6 Jul → | ||
| 5–13 | -0.04 | 14% | 6 Jul → | ||
| 13–9 | 0.08 | 31% | 6 Jul → | ||
| 11–13 | -0.01 | 28% | 5 Jul → | ||
| 13–9 | 0.05 | 28% | 5 Jul → | ||
| 11–13 | -0.03 | 32% | 2 Jul → | ||
| 13–8 | -0.00 | 24% | 1 Jul → | ||
| 13–10 | 0.03 | 22% | 1 Jul → | ||
| 5–13 | -0.04 | 21% | 1 Jul → | ||
| 7–13 | 0.09 | 29% | 30 Jun → | ||
| 13–8 | -0.04 | 19% | 30 Jun → | ||
| 13–2 | 0.09 | 26% | 29 Jun → | ||
| 7–13 | 0.01 | 26% | 28 Jun → | ||
| 13–7 | 0.02 | 29% | 28 Jun → | ||
| 13–10 | -0.04 | 35% | 28 Jun → | ||
| 14–16 | 0.07 | 17% | 26 Jun → | ||
| 13–5 | 0.10 | 36% | 26 Jun → | ||
| 13–7 | 0.06 | 18% | 26 Jun → | ||
| 1–12 | -0.08 | 7% | 25 Jun → | ||
| 1–13 | -0.05 | 8% | 25 Jun → | ||
| 9–13 | 0.02 | 16% | 25 Jun → | ||
| 16–14 | -0.07 | 7% | 25 Jun → | ||
| 14–16 | -0.02 | 25% | 25 Jun → | ||
| 2–13 | 0.00 | 28% | 24 Jun → | ||
| 10–13 | -0.01 | 15% | 24 Jun → | ||
| 13–4 | -0.09 | 11% | 18 Jun → | ||
| 13–9 | 0.12 | 24% | 18 Jun → | ||
| 13–5 | 0.04 | 24% | 18 Jun → | ||
| 13–2 | 0.03 | 27% | 18 Jun → | ||
| 11–13 | 0.01 | 24% | 17 Jun → | ||
| 12–12 | 0.05 | 27% | 17 Jun → | ||
| 9–13 | 0.00 | 20% | 17 Jun → |
Match data via Leetify.