paul — CS2 Stats
76561199573306950[U:1:1613041222]
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 | 57.9% | 48.1% | above |
| Shot accuracy | 0.0% | 12.9% | 12.9% short |
| Kill/death ratio | 1.26 | 1.08 | above |
| Match win rate | 43.2% | 46.5% | 3.3% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 ropz 89% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 56% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
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 6.5/10 (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 | 29 | 18–11 | 62% | 0.02 | |
| S | 19 | 13–6 | 68% | 0.02 | |
| D | 19 | 6–13 | 32% | -0.01 | |
| A | 11 | 6–5 | 55% | -0.00 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| D | 7 | 2–5 | 29% | -0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage 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 resultsLLLLL
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4405 — below the 0.5 mark we flag
- 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 33.8993% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.04 | 27% | 28 Aug → | ||
| 13–7 | 0.01 | 15% | 28 Aug → | ||
| 9–13 | -0.04 | 23% | 28 Aug → | ||
| 13–8 | 0.02 | 23% | 27 Aug → | ||
| 13–8 | -0.04 | 19% | 27 Aug → | ||
| 13–1 | 0.14 | 30% | 27 Aug → | ||
| 10–13 | 0.02 | 26% | 27 Aug → | ||
| 13–16 | -0.05 | 13% | 26 Aug → | ||
| 16–13 | -0.03 | 15% | 25 Aug → | ||
| 13–10 | -0.03 | 26% | 24 Aug → | ||
| 13–8 | -0.02 | 17% | 23 Aug → | ||
| 13–11 | 0.02 | 28% | 22 Aug → | ||
| 6–13 | 0.06 | 13% | 20 Aug → | ||
| 6–13 | -0.00 | 14% | 19 Aug → | ||
| 13–7 | -0.01 | 17% | 19 Aug → | ||
| 8–13 | -0.02 | 12% | 19 Aug → | ||
| 8–13 | -0.05 | 18% | 18 Aug → | ||
| 13–9 | 0.08 | 15% | 18 Aug → | ||
| 16–14 | 0.01 | 18% | 18 Aug → | ||
| 5–13 | -0.00 | 13% | 16 Aug → | ||
| 10–13 | 0.07 | 26% | 16 Aug → | ||
| 13–4 | 0.06 | 22% | 14 Aug → | ||
| 13–11 | 0.02 | 31% | 14 Aug → | ||
| 13–5 | 0.09 | 20% | 13 Aug → | ||
| 9–13 | 0.00 | 18% | 13 Aug → | ||
| 9–4 | 0.14 | 31% | 13 Aug → | ||
| 16–14 | 0.05 | 26% | 12 Aug → | ||
| 13–9 | -0.03 | 15% | 12 Aug → | ||
| 7–13 | 0.00 | 24% | 12 Aug → | ||
| 13–8 | 0.05 | 28% | 9 Aug → | ||
| 4–13 | -0.08 | 15% | 9 Aug → | ||
| 13–16 | 0.06 | 13% | 7 Aug → | ||
| 13–10 | -0.05 | 16% | 7 Aug → | ||
| 13–7 | -0.01 | 19% | 7 Aug → | ||
| 16–13 | 0.04 | 15% | 6 Aug → | ||
| 13–6 | 0.09 | 22% | 6 Aug → | ||
| 7–13 | 0.03 | 19% | 6 Aug → | ||
| 13–8 | -0.03 | 13% | 6 Aug → | ||
| 7–13 | -0.02 | 23% | 6 Aug → | ||
| 10–13 | -0.02 | 22% | 3 Aug → | ||
| 8–13 | -0.04 | 19% | 3 Aug → | ||
| 11–13 | -0.04 | 14% | 3 Aug → | ||
| 13–11 | 0.04 | 27% | 28 Jul → | ||
| 14–16 | 0.03 | 21% | 27 Jul → | ||
| 13–11 | 0.06 | 18% | 27 Jul → | ||
| 15–15 | -0.01 | 30% | 27 Jul → | ||
| 13–16 | -0.06 | 22% | 27 Jul → | ||
| 9–2 | 0.06 | 39% | 27 Jul → | ||
| 11–13 | -0.03 | 24% | 26 Jul → | ||
| 13–9 | -0.01 | 25% | 26 Jul → | ||
| 16–13 | 0.00 | 25% | 26 Jul → | ||
| 8–13 | -0.05 | 19% | 26 Jul → | ||
| 13–4 | -0.00 | 26% | 24 Jul → | ||
| 5–9 | -0.04 | 20% | 24 Jul → | ||
| 5–13 | -0.08 | 6% | 23 Jul → | ||
| 13–11 | -0.02 | 36% | 23 Jul → | ||
| 13–1 | 0.10 | 24% | 23 Jul → | ||
| 7–13 | 0.01 | 34% | 23 Jul → | ||
| 7–13 | 0.04 | 27% | 22 Jul → | ||
| 13–11 | 0.06 | 14% | 22 Jul → | ||
| 13–5 | 0.09 | 26% | 21 Jul → | ||
| 13–5 | 0.01 | 28% | 21 Jul → | ||
| 13–1 | -0.03 | 14% | 21 Jul → | ||
| 11–13 | -0.03 | 18% | 21 Jul → | ||
| 16–13 | 0.05 | 26% | 21 Jul → | ||
| 11–13 | -0.02 | 15% | 20 Jul → | ||
| 7–13 | -0.07 | 15% | 20 Jul → | ||
| 6–13 | 0.05 | 21% | 20 Jul → | ||
| 13–2 | 0.05 | 27% | 20 Jul → | ||
| 16–14 | -0.04 | 22% | 19 Jul → | ||
| 13–3 | -0.04 | 12% | 19 Jul → | ||
| 13–6 | 0.07 | 45% | 19 Jul → | ||
| 11–13 | -0.09 | 8% | 19 Jul → | ||
| 11–13 | -0.00 | 15% | 19 Jul → | ||
| 11–13 | 0.09 | 28% | 19 Jul → | ||
| 13–5 | -0.02 | 14% | 19 Jul → | ||
| 9–13 | -0.02 | 33% | 18 Jul → | ||
| 6–13 | -0.07 | 18% | 18 Jul → | ||
| 8–13 | 0.04 | 35% | 17 Jul → | ||
| 14–16 | -0.03 | 23% | 17 Jul → | ||
| 13–8 | 0.07 | 37% | 16 Jul → | ||
| 13–2 | 0.04 | 30% | 16 Jul → | ||
| 13–4 | 0.08 | 29% | 16 Jul → | ||
| 6–13 | -0.05 | 13% | 15 Jul → | ||
| 14–16 | -0.01 | 14% | 15 Jul → | ||
| 6–13 | -0.06 | 10% | 15 Jul → | ||
| 8–13 | -0.04 | 18% | 14 Jul → | ||
| 13–8 | 0.08 | 27% | 14 Jul → | ||
| 13–6 | -0.02 | 16% | 12 Jul → | ||
| 1–13 | -0.05 | 26% | 11 Jul → | ||
| 5–13 | -0.04 | 13% | 11 Jul → | ||
| 5–13 | -0.03 | 16% | 11 Jul → | ||
| 13–2 | 0.13 | 19% | 11 Jul → | ||
| 6–13 | -0.08 | 27% | 10 Jul → | ||
| 13–7 | 0.09 | 27% | 10 Jul → | ||
| 13–10 | 0.04 | 24% | 9 Jul → | ||
| 13–9 | 0.03 | 18% | 9 Jul → | ||
| 2–13 | -0.04 | 29% | 6 Jul → | ||
| 13–3 | -0.00 | 23% | 6 Jul → | ||
| 13–5 | 0.15 | 17% | 5 Jul → |
Match data via Leetify.