zupadaq — CS2 Stats
76561198871884998[U:1:911619270]
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 | 44.5% | 48.1% | 3.6% short |
| Shot accuracy | 17.6% | 12.9% | above |
| Kill/death ratio | 1.01 | 1.08 | 0.07 short |
| Match win rate | 36.2% | 46.5% | 10.3% short |
This profile matches the typical Pink band player on 1 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 · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependenceReliable in 1v1s
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 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution.
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
Positioning. Positioning trails aim by 33 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.
Reaction time. 640ms 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 5.9/10 (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 | 13–16 | 45% | 0.00 | |
| C | 24 | 10–14 | 42% | 0.01 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.05 | |
| D | 8 | 2–6 | 25% | -0.00 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| — | 3 | 1–2 | 33% | -0.04 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| poseidon | — | 2 | 1–1 | 50% | -0.05 |
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 28 | 64% | 1.06 | 15.6 |
| Nuke | 16 | 56% | 1.26 | 19.5 |
| Train | 8 | 62% | 0.92 | 15.5 |
| Overpass | 7 | 57% | 1.33 | 20.6 |
| Inferno | 4 | 50% | 0.76 | 13.8 |
| Ancient | 3 | 67% | 0.95 | 15.3 |
| Anubis | 3 | 67% | 0.82 | 12.7 |
| Dust2 | 2 | 0% | 0.74 | 14.0 |
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 32.9118% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.02 | 29% | 28 Jul → | ||
| 8–13 | 0.04 | 29% | 28 Jul → | ||
| 8–13 | -0.03 | 7% | 28 Jul → | ||
| 13–5 | 0.05 | 31% | 16 Jul → | ||
| 13–1 | 0.08 | 26% | 16 Jul → | ||
| 13–6 | 0.11 | 25% | 16 Jul → | ||
| 11–13 | 0.04 | 19% | 14 Jul → | ||
| 7–13 | -0.07 | 17% | 14 Jul → | ||
| 13–11 | -0.04 | 19% | 14 Jul → | ||
| 13–1 | 0.01 | 30% | 14 Jul → | ||
| 13–10 | 0.03 | 22% | 14 Jul → | ||
| 13–9 | -0.02 | 18% | 14 Jul → | ||
| 6–13 | -0.02 | 33% | 14 Jul → | ||
| 13–2 | 0.07 | 17% | 13 Jul → | ||
| 15–15 | 0.01 | 22% | 13 Jul → | ||
| 13–3 | -0.01 | 31% | 13 Jul → | ||
| 6–13 | -0.05 | 17% | 13 Jul → | ||
| 4–13 | -0.01 | 43% | 12 Jul → | ||
| 16–14 | -0.02 | 24% | 12 Jul → | ||
| 11–13 | 0.04 | 24% | 11 Jul → | ||
| 13–11 | -0.00 | 8% | 11 Jul → | ||
| 7–0 | 0.03 | 33% | 5 Jul → | ||
| 11–13 | -0.01 | 32% | 4 Jun → | ||
| 14–16 | 0.00 | 18% | 31 May → | ||
| 8–13 | 0.04 | 30% | 31 May → | ||
| 12–12 | 0.09 | 26% | 27 May → | ||
| 6–13 | -0.02 | 18% | 7 May → | ||
| 13–7 | -0.04 | 10% | 7 May → | ||
| 4–13 | -0.08 | 23% | 6 May → | ||
| 5–13 | -0.01 | 19% | 6 May → | ||
| 9–6 | 0.00 | 16% | 6 May → | ||
| 9–0 | 0.26 | 27% | 6 May → | ||
| 13–9 | 0.03 | 27% | 30 Apr → | ||
| 13–11 | 0.01 | 19% | 24 Apr → | ||
| 10–13 | -0.01 | 23% | 24 Apr → | ||
| 10–13 | -0.03 | 24% | 24 Apr → | ||
| 13–7 | 0.01 | 22% | 24 Apr → | ||
| 9–13 | -0.05 | 11% | 23 Apr → | ||
| 13–11 | 0.03 | 18% | 23 Apr → | ||
| 11–13 | -0.05 | 14% | 23 Apr → | ||
| 13–11 | 0.00 | 7% | 23 Apr → | ||
| 13–9 | 0.04 | 17% | 23 Apr → | ||
| 9–13 | -0.02 | 30% | 23 Apr → | ||
| 15–15 | -0.02 | 19% | 22 Apr → | ||
| 11–13 | -0.01 | 18% | 22 Apr → | ||
| 9–13 | -0.06 | 27% | 8 Apr → | ||
| 6–13 | -0.03 | 19% | 8 Apr → | ||
| 8–13 | -0.01 | 20% | 5 Apr → | ||
| 7–13 | -0.01 | 21% | 5 Apr → | ||
| 4–13 | -0.01 | 16% | 5 Apr → | ||
| 13–6 | 0.07 | 18% | 5 Apr → | ||
| 13–8 | 0.06 | 17% | 5 Apr → | ||
| 13–3 | 0.01 | 21% | 5 Apr → | ||
| 6–13 | -0.04 | 29% | 1 Apr → | ||
| 8–13 | 0.02 | 20% | 1 Apr → | ||
| 8–13 | -0.04 | 25% | 1 Apr → | ||
| 8–13 | 0.02 | 14% | 29 Mar → | ||
| 13–11 | -0.00 | 15% | 29 Mar → | ||
| 13–8 | 0.02 | 13% | 29 Mar → | ||
| 4–13 | -0.03 | 21% | 28 Mar → | ||
| 6–9 | -0.07 | 41% | 27 Mar → | ||
| 5–9 | -0.01 | 10% | 27 Mar → | ||
| poseidon | 9–4 | 0.07 | 56% | 27 Mar → | |
| 8–8 | -0.13 | 23% | 27 Mar → | ||
| 3–9 | -0.10 | 6% | 27 Mar → | ||
| 12–12 | 0.10 | 28% | 25 Mar → | ||
| 13–8 | -0.01 | 22% | 25 Mar → | ||
| 7–13 | 0.08 | 22% | 25 Mar → | ||
| 9–4 | 0.14 | 28% | 12 Mar → | ||
| 13–10 | 0.01 | 17% | 11 Mar → | ||
| 13–10 | 0.04 | 17% | 11 Mar → | ||
| 13–8 | 0.01 | 14% | 11 Mar → | ||
| 13–8 | 0.00 | 27% | 11 Mar → | ||
| 13–16 | 0.05 | 14% | 11 Mar → | ||
| 11–13 | -0.00 | 24% | 4 Mar → | ||
| 6–13 | 0.08 | 24% | 4 Mar → | ||
| 13–8 | -0.03 | 20% | 4 Mar → | ||
| 13–2 | -0.00 | 10% | 4 Mar → | ||
| 15–15 | -0.01 | 19% | 4 Mar → | ||
| 8–13 | -0.06 | 10% | 3 Mar → | ||
| 4–13 | 0.02 | 17% | 3 Mar → | ||
| 13–11 | 0.01 | 18% | 3 Mar → | ||
| 9–7 | -0.05 | 12% | 5 Feb → | ||
| 13–7 | 0.01 | 10% | 5 Feb → | ||
| 6–13 | 0.05 | 7% | 4 Feb → | ||
| 7–13 | -0.07 | 16% | 4 Feb → | ||
| 9–13 | 0.00 | 22% | 4 Feb → | ||
| 13–11 | -0.03 | 9% | 4 Feb → | ||
| 8–13 | -0.06 | 16% | 4 Feb → | ||
| 9–4 | 0.27 | 20% | 4 Feb → | ||
| poseidon | 6–9 | -0.17 | 15% | 4 Feb → | |
| 3–13 | -0.01 | 19% | 20 Jan → | ||
| 19–17 | -0.04 | 25% | 20 Jan → | ||
| 10–13 | -0.01 | 29% | 20 Jan → | ||
| 9–13 | 0.00 | 18% | 11 Jan → | ||
| 13–9 | 0.05 | 17% | 11 Jan → | ||
| 11–13 | -0.01 | 16% | 6 Jan → | ||
| 13–3 | 0.04 | 18% | 6 Jan → | ||
| 12–16 | 0.05 | 20% | 6 Jan → | ||
| 9–13 | 0.03 | 19% | 18 Dec → |
Match data via Leetify.