240hz — CS2 Stats
76561199037592947[U:1:1077327219]
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 42.4% | 42.1% | 42.1% | meets |
| Shot accuracy | 17.5% | 12.9% | 12.1% | above |
| Kill/death ratio | 1.03 | 1.00 | 0.99 | above |
| Match win rate | 44.3% | 42.9% | 43.9% | meets |
Across every metric we can compare, this profile already matches the typical Level 3 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: +30pp 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 NiKo 77% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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
T-side openings. Opening success drops from 51% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 711ms 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 4.4/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 29 | 12–17 | 41% | -0.02 | |
| D | 29 | 10–19 | 34% | -0.01 | |
| S | 17 | 11–6 | 65% | 0.00 | |
| D | 7 | 2–5 | 29% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.05 | |
| D | 5 | 1–4 | 20% | -0.03 | |
| — | 3 | 2–1 | 67% | 0.00 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| tuscan | — | 2 | 1–1 | 50% | 0.08 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo 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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 711.2496ms — above the 700ms 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 20.9119% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.04 | 19% | 15 Jul → | ||
| 8–13 | -0.04 | 21% | 15 Jul → | ||
| 13–9 | 0.05 | 35% | 5 Jan → | ||
| 7–13 | -0.05 | 12% | 7 Aug → | ||
| 8–13 | 0.02 | 17% | 5 Aug → | ||
| 13–10 | 0.03 | 17% | 5 Aug → | ||
| 13–7 | -0.02 | 18% | 4 Aug → | ||
| 16–13 | 0.03 | 13% | 3 Aug → | ||
| 13–4 | -0.02 | 3% | 3 Aug → | ||
| 13–7 | 0.05 | 19% | 2 Aug → | ||
| 7–13 | -0.05 | 4% | 27 Jul → | ||
| 13–10 | 0.01 | 19% | 27 Jul → | ||
| 15–15 | -0.04 | 7% | 27 Jul → | ||
| 11–13 | 0.02 | 21% | 27 Jul → | ||
| 13–2 | 0.05 | 16% | 27 Jul → | ||
| 13–6 | 0.01 | 19% | 18 Jul → | ||
| 13–3 | -0.00 | 14% | 16 Jul → | ||
| 3–13 | -0.04 | 7% | 14 Jul → | ||
| 7–13 | 0.01 | 13% | 13 Jul → | ||
| 6–13 | -0.10 | 5% | 12 Jul → | ||
| 5–13 | -0.01 | 10% | 11 Jul → | ||
| 13–11 | 0.02 | 17% | 11 Jul → | ||
| 13–7 | -0.04 | 12% | 11 Jul → | ||
| 13–11 | -0.01 | 19% | 10 Jul → | ||
| 7–13 | -0.02 | 10% | 9 Jul → | ||
| 6–13 | 0.04 | 32% | 8 Jul → | ||
| 9–13 | -0.03 | 10% | 8 Jul → | ||
| 0–9 | -0.21 | 11% | 7 Jul → | ||
| 9–13 | 0.09 | 14% | 7 Jul → | ||
| 8–13 | -0.06 | 27% | 6 Jul → | ||
| 5–13 | -0.06 | 26% | 2 Jul → | ||
| 1–13 | -0.08 | 19% | 2 Jul → | ||
| 13–11 | 0.03 | 17% | 2 Jul → | ||
| 11–13 | -0.00 | 16% | 1 Jul → | ||
| 16–14 | -0.04 | 17% | 1 Jul → | ||
| 3–9 | -0.14 | 0% | 30 Jun → | ||
| 3–9 | -0.09 | 13% | 30 Jun → | ||
| 13–2 | 0.04 | 20% | 29 Jun → | ||
| 8–13 | -0.06 | 20% | 27 Jun → | ||
| 7–13 | -0.03 | 16% | 27 Jun → | ||
| 13–8 | -0.00 | 36% | 27 Dec → | ||
| 5–13 | -0.07 | 17% | 27 Dec → | ||
| 13–7 | 0.03 | 9% | 27 Dec → | ||
| 15–15 | 0.08 | 10% | 26 Dec → | ||
| 5–13 | 0.01 | 19% | 25 Dec → | ||
| 13–11 | -0.06 | 12% | 25 Dec → | ||
| 14–16 | -0.01 | 18% | 24 Dec → | ||
| 13–10 | 0.04 | 14% | 24 Dec → | ||
| 10–13 | 0.03 | 17% | 24 Dec → | ||
| 0–13 | -0.08 | 14% | 21 Dec → | ||
| 1–13 | -0.11 | 24% | 21 Dec → | ||
| 11–3 | 0.09 | 18% | 21 Dec → | ||
| 12–12 | -0.03 | 14% | 20 Nov → | ||
| 16–13 | -0.02 | 13% | 30 Apr → | ||
| 5–16 | -0.00 | 17% | 8 Mar → | ||
| 10–16 | -0.03 | 15% | 8 Mar → | ||
| tuscan | 15–15 | 0.09 | 14% | 20 Nov → | |
| 16–6 | 0.12 | 11% | 26 Oct → | ||
| 16–13 | 0.01 | 12% | 24 Oct → | ||
| 11–16 | -0.03 | 12% | 5 Oct → | ||
| 28–25 | 0.00 | 7% | 3 Oct → | ||
| 7–16 | -0.14 | 0% | 1 Oct → | ||
| tuscan | 16–4 | 0.08 | 14% | 26 Sept → | |
| 7–16 | -0.06 | 8% | 7 Sept → | ||
| 16–14 | 0.02 | 13% | 6 Sept → | ||
| 1–12 | -0.04 | 15% | 4 Sept → | ||
| 9–7 | 0.02 | 17% | 28 Aug → | ||
| 4–16 | -0.10 | 7% | 27 Aug → | ||
| 11–16 | 0.13 | 11% | 20 Aug → | ||
| 14–16 | -0.05 | 15% | 19 Aug → | ||
| 5–16 | -0.14 | 5% | 18 Aug → | ||
| 8–16 | -0.07 | 17% | 15 Aug → | ||
| 16–14 | -0.04 | 9% | 12 Aug → | ||
| 11–16 | 0.00 | 12% | 10 Aug → | ||
| 16–13 | 0.01 | 12% | 8 Aug → | ||
| 16–7 | -0.03 | 10% | 8 Aug → | ||
| 16–13 | -0.03 | 7% | 5 Aug → | ||
| 13–16 | -0.01 | 8% | 20 Jul → | ||
| 5–16 | -0.05 | 20% | 14 Jul → | ||
| 22–20 | -0.08 | 7% | 14 Jul → | ||
| 9–16 | 0.02 | 9% | 11 Jul → | ||
| 5–16 | -0.05 | 11% | 11 Jul → | ||
| 6–16 | 0.02 | 6% | 11 Jul → | ||
| 16–4 | 0.11 | 15% | 10 Jul → | ||
| 5–16 | -0.05 | 14% | 9 Jul → | ||
| 14–3 | 0.03 | 5% | 9 Jul → | ||
| 17–19 | 0.08 | 4% | 9 Jul → | ||
| 16–13 | 0.04 | 17% | 9 Jul → | ||
| 12–16 | -0.05 | 16% | 28 Jun → | ||
| 12–16 | -0.03 | 8% | 28 Jun → | ||
| 16–9 | 0.06 | 11% | 27 Jun → | ||
| 9–16 | 0.04 | 14% | 26 Jun → | ||
| 16–13 | 0.01 | 24% | 25 Jun → | ||
| 8–16 | -0.02 | 29% | 17 Jun → | ||
| 16–3 | 0.07 | 20% | 16 Jun → | ||
| 16–6 | -0.04 | 13% | 15 Jun → | ||
| 16–3 | 0.03 | 10% | 13 Jun → | ||
| 7–16 | 0.00 | 29% | 12 Jun → | ||
| 14–16 | 0.01 | 18% | 12 Jun → | ||
| 10–16 | -0.05 | 10% | 11 Jun → |
Match data via Leetify.