sad and high — CS2 Stats
ZA76561198046860975[U:1:86595247]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 58.0% | 48.1% | above |
| Shot accuracy | 13.6% | 12.9% | above |
| Kill/death ratio | 0.89 | 1.08 | 0.19 short |
| Match win rate | 32.1% | 46.5% | 14.3% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Pink band 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 · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafing
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 NiKo 91% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning 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
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.
Reaction time. 601ms 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 6.3/10 (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 |
|---|---|---|---|---|---|
| A | 27 | 15–12 | 56% | 0.01 | |
| B | 15 | 7–8 | 47% | -0.01 | |
| S | 14 | 10–4 | 71% | 0.03 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| S | 13 | 10–3 | 77% | 0.02 | |
| S | 11 | 8–3 | 73% | 0.03 | |
| S | 5 | 5–0 | 100% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.04 |
Across the last 100 tracked matches.
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
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 27.6904% — 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.
47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.05 | 15% | 26 Aug → | ||
| 4–13 | 0.02 | 34% | 26 Aug → | ||
| 13–9 | -0.02 | 17% | 25 Aug → | ||
| 16–14 | 0.02 | 14% | 25 Aug → | ||
| 13–5 | 0.03 | 23% | 23 Aug → | ||
| 5–13 | -0.01 | 21% | 23 Aug → | ||
| 8–13 | -0.01 | 19% | 22 Aug → | ||
| 7–13 | -0.01 | 38% | 22 Aug → | ||
| 2–13 | -0.06 | 15% | 22 Aug → | ||
| 13–9 | -0.00 | 20% | 9 Aug → | ||
| 15–15 | 0.01 | 24% | 8 Aug → | ||
| 9–13 | -0.00 | 13% | 8 Aug → | ||
| 13–7 | 0.01 | 21% | 7 Aug → | ||
| 2–13 | -0.02 | 29% | 7 Aug → | ||
| 13–3 | -0.04 | 19% | 2 Aug → | ||
| 6–13 | -0.03 | 24% | 2 Aug → | ||
| 16–13 | -0.01 | 27% | 31 Jul → | ||
| 13–6 | -0.01 | 38% | 31 Jul → | ||
| 12–16 | -0.06 | 13% | 30 Jul → | ||
| 4–13 | -0.03 | 21% | 28 Jul → | ||
| 13–10 | -0.00 | 27% | 28 Jul → | ||
| 9–13 | 0.11 | 26% | 24 Jul → | ||
| 5–13 | -0.02 | 27% | 24 Jul → | ||
| 13–11 | 0.06 | 19% | 20 Jul → | ||
| 3–13 | -0.05 | 12% | 20 Jul → | ||
| 13–6 | -0.01 | 20% | 20 Jul → | ||
| 13–7 | 0.05 | 15% | 20 Jul → | ||
| 13–7 | 0.04 | 19% | 19 Jul → | ||
| 9–13 | -0.05 | 14% | 19 Jul → | ||
| 16–13 | 0.01 | 26% | 18 Jul → | ||
| 13–7 | 0.00 | 17% | 18 Jul → | ||
| 9–13 | 0.02 | 19% | 18 Jul → | ||
| 9–13 | -0.01 | 31% | 17 Jul → | ||
| 2–13 | -0.04 | 20% | 17 Jul → | ||
| 13–11 | 0.06 | 27% | 17 Jul → | ||
| 13–11 | 0.03 | 23% | 17 Jul → | ||
| 13–11 | 0.03 | 19% | 16 Jul → | ||
| 13–3 | -0.01 | 20% | 16 Jul → | ||
| 16–14 | 0.04 | 20% | 16 Jul → | ||
| 13–10 | 0.02 | 15% | 14 Jul → | ||
| 13–0 | 0.05 | 32% | 14 Jul → | ||
| 13–7 | -0.02 | 23% | 13 Jul → | ||
| 13–7 | 0.03 | 24% | 12 Jul → | ||
| 13–7 | 0.11 | 18% | 12 Jul → | ||
| 3–13 | -0.01 | 28% | 12 Jul → | ||
| 13–8 | -0.02 | 19% | 11 Jul → | ||
| 13–7 | 0.07 | 29% | 10 Jul → | ||
| 8–13 | -0.03 | 15% | 10 Jul → | ||
| 9–13 | -0.02 | 24% | 9 Jul → | ||
| 13–11 | -0.02 | 30% | 7 Jul → | ||
| 9–13 | 0.01 | 27% | 4 Jul → | ||
| 15–15 | 0.07 | 21% | 4 Jul → | ||
| 13–10 | 0.02 | 24% | 4 Jul → | ||
| 13–5 | 0.08 | 27% | 4 Jul → | ||
| 13–6 | 0.04 | 28% | 4 Jul → | ||
| 16–13 | -0.00 | 30% | 4 Jul → | ||
| 13–6 | 0.04 | 42% | 1 Jul → | ||
| 13–11 | 0.07 | 30% | 27 Jun → | ||
| 16–13 | 0.01 | 14% | 27 Jun → | ||
| 13–6 | 0.00 | 24% | 27 Jun → | ||
| 13–6 | 0.13 | 38% | 25 Jun → | ||
| 13–1 | 0.11 | 29% | 25 Jun → | ||
| 13–3 | 0.11 | 33% | 23 Jun → | ||
| 13–4 | 0.09 | 20% | 23 Jun → | ||
| 4–13 | -0.03 | 32% | 23 Jun → | ||
| 13–10 | 0.01 | 35% | 23 Jun → | ||
| 7–13 | -0.04 | 30% | 23 Jun → | ||
| 13–10 | -0.02 | 40% | 19 Jun → | ||
| 13–0 | 0.09 | 13% | 19 Jun → | ||
| 13–5 | 0.10 | 25% | 19 Jun → | ||
| 13–5 | 0.03 | 40% | 15 Jun → | ||
| 7–13 | 0.02 | 46% | 15 Jun → | ||
| 13–5 | 0.03 | 30% | 13 Jun → | ||
| 13–7 | 0.11 | 25% | 12 Jun → | ||
| 13–1 | 0.21 | 28% | 12 Jun → | ||
| 9–13 | -0.02 | 34% | 12 Jun → | ||
| 7–13 | -0.02 | 19% | 30 May → | ||
| 13–7 | 0.02 | 31% | 30 May → | ||
| 6–13 | -0.04 | 20% | 23 May → | ||
| 13–11 | 0.01 | 11% | 23 May → | ||
| 9–13 | 0.00 | 23% | 23 May → | ||
| 11–13 | -0.02 | 25% | 20 May → | ||
| 8–13 | -0.06 | 20% | 20 May → | ||
| 13–11 | 0.04 | 19% | 2 May → | ||
| 13–3 | 0.01 | 30% | 1 May → | ||
| 13–11 | -0.02 | 15% | 1 May → | ||
| 5–13 | -0.03 | 33% | 29 Apr → | ||
| 13–6 | 0.03 | 30% | 25 Apr → | ||
| 13–7 | 0.01 | 34% | 25 Apr → | ||
| 13–5 | 0.03 | 32% | 25 Apr → | ||
| 3–13 | -0.09 | 25% | 25 Apr → | ||
| 7–13 | 0.02 | 13% | 17 Apr → | ||
| 15–15 | 0.04 | 16% | 17 Apr → | ||
| 13–7 | 0.02 | 18% | 15 Apr → | ||
| 13–5 | 0.10 | 32% | 13 Apr → | ||
| 13–6 | 0.10 | 27% | 13 Apr → | ||
| 13–9 | -0.04 | 28% | 11 Apr → | ||
| 13–9 | 0.01 | 27% | 10 Apr → | ||
| 16–14 | -0.02 | 22% | 10 Apr → | ||
| 2–13 | -0.01 | 11% | 9 Apr → |
Match data via Leetify.