elevate — CS2 Stats
76561198354218945[U:1:393953217]✓ No bans
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 31.6% | 41.7% | 44.1% | 12.4% short |
| Shot accuracy | 9.5% | 8.8% | 11.4% | 1.9% short |
| Kill/death ratio | 0.85 | 0.97 | 1.03 | 0.18 short |
| Match win rate | 40.6% | 43.8% | 45.2% | 4.6% short |
This profile sits below the typical Purple band player on every metric we can compare.
Widest gap: Headshot rate. That is the metric furthest from the Purple 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 · +0.04 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 86% playstyle similarity
Most alike: opening-duel success, 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. 622ms 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 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 31 | 17–14 | 55% | 0.03 | |
| C | 17 | 7–10 | 41% | -0.00 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| C | 7 | 3–4 | 43% | -0.00 | |
| — | 4 | 4–0 | 100% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis 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.
- 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 37.7833% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.10 | 17% | 25 Aug → | ||
| 4–13 | 0.04 | 16% | 25 Aug → | ||
| 6–13 | -0.01 | 13% | 23 Aug → | ||
| 5–13 | -0.09 | 21% | 9 Aug → | ||
| 9–13 | 0.02 | 21% | 9 Aug → | ||
| 10–13 | -0.01 | 15% | 8 Aug → | ||
| 13–0 | 0.15 | 17% | 8 Aug → | ||
| 13–7 | 0.04 | 16% | 8 Aug → | ||
| 13–9 | 0.03 | 17% | 6 Aug → | ||
| 2–13 | -0.05 | 3% | 6 Aug → | ||
| 6–13 | 0.02 | 24% | 6 Aug → | ||
| 13–5 | -0.03 | 11% | 5 Aug → | ||
| 9–13 | 0.03 | 13% | 5 Aug → | ||
| 9–13 | -0.01 | 27% | 4 Aug → | ||
| 6–11 | 0.02 | 21% | 3 Aug → | ||
| 13–6 | 0.00 | 19% | 3 Aug → | ||
| 11–13 | -0.06 | 8% | 2 Aug → | ||
| 8–13 | -0.04 | 12% | 31 Jul → | ||
| 6–13 | -0.05 | 15% | 31 Jul → | ||
| 5–13 | -0.02 | 15% | 31 Jul → | ||
| 16–13 | 0.05 | 12% | 25 Jul → | ||
| 13–6 | -0.01 | 14% | 25 Jul → | ||
| 6–13 | -0.00 | 15% | 25 Jul → | ||
| 9–0 | 0.07 | 21% | 25 Jul → | ||
| 9–13 | -0.00 | 11% | 24 Jul → | ||
| 13–3 | 0.01 | 29% | 24 Jul → | ||
| 11–13 | 0.03 | 14% | 24 Jul → | ||
| 13–3 | 0.09 | 9% | 21 Jul → | ||
| 8–13 | -0.08 | 10% | 21 Jul → | ||
| 0–6 | -0.04 | 12% | 21 Jul → | ||
| 13–5 | 0.05 | 17% | 21 Jul → | ||
| 16–14 | 0.10 | 15% | 20 Jul → | ||
| 8–13 | -0.02 | 15% | 20 Jul → | ||
| 13–6 | 0.02 | 11% | 18 Jul → | ||
| 16–13 | 0.03 | 10% | 18 Jul → | ||
| 9–13 | -0.05 | 9% | 18 Jul → | ||
| 2–8 | -0.03 | 6% | 18 Jul → | ||
| 9–13 | 0.01 | 11% | 18 Jul → | ||
| 13–5 | 0.11 | 16% | 18 Jul → | ||
| 10–13 | 0.01 | 20% | 18 Jul → | ||
| 8–13 | -0.04 | 10% | 15 Jul → | ||
| 11–13 | -0.09 | 12% | 15 Jul → | ||
| 6–13 | 0.00 | 35% | 15 Jul → | ||
| 13–6 | -0.01 | 21% | 14 Jul → | ||
| 13–5 | 0.07 | 11% | 14 Jul → | ||
| 3–13 | -0.07 | 18% | 14 Jul → | ||
| 14–16 | 0.01 | 18% | 13 Jul → | ||
| 13–7 | -0.00 | 13% | 12 Jul → | ||
| 13–8 | 0.03 | 10% | 12 Jul → | ||
| 8–13 | 0.03 | 11% | 11 Jul → | ||
| 6–13 | -0.07 | 15% | 11 Jul → | ||
| 13–11 | 0.01 | 13% | 10 Jul → | ||
| 4–13 | -0.05 | 22% | 10 Jul → | ||
| 7–13 | -0.01 | 8% | 10 Jul → | ||
| 8–13 | -0.00 | 16% | 10 Jul → | ||
| 13–6 | 0.05 | 37% | 8 Jul → | ||
| 13–9 | -0.01 | 21% | 8 Jul → | ||
| 13–4 | 0.12 | 20% | 6 Jul → | ||
| 13–7 | -0.01 | 14% | 26 Jun → | ||
| 12–12 | 0.08 | 13% | 25 Jun → | ||
| 13–3 | 0.16 | 10% | 25 Jun → | ||
| 9–13 | 0.03 | 12% | 25 Jun → | ||
| 4–13 | -0.01 | 7% | 24 Jun → | ||
| 13–11 | -0.02 | 8% | 21 Jun → | ||
| 13–9 | 0.02 | 11% | 21 Jun → | ||
| 13–10 | 0.01 | 17% | 21 Jun → | ||
| 13–8 | 0.05 | 24% | 21 Jun → | ||
| 5–13 | -0.03 | 7% | 21 Jun → | ||
| 13–11 | -0.08 | 3% | 19 Jun → | ||
| 13–8 | -0.00 | 13% | 18 Jun → | ||
| 13–16 | -0.03 | 13% | 17 Jun → | ||
| 13–6 | -0.02 | 9% | 17 Jun → | ||
| 13–6 | -0.02 | 10% | 17 Jun → | ||
| 7–13 | 0.04 | 29% | 17 Jun → | ||
| 13–6 | 0.06 | 10% | 17 Jun → | ||
| 9–13 | 0.03 | 18% | 17 Jun → | ||
| 6–13 | 0.03 | 8% | 16 Jun → | ||
| 13–5 | 0.07 | 24% | 11 Jun → | ||
| 13–6 | 0.08 | 14% | 9 Jun → | ||
| 7–13 | -0.05 | 13% | 9 Jun → | ||
| 9–4 | 0.10 | 9% | 8 Jun → | ||
| 13–11 | -0.04 | 11% | 7 Jun → | ||
| 13–11 | -0.03 | 7% | 7 Jun → | ||
| 13–9 | -0.04 | 10% | 7 Jun → | ||
| 13–10 | -0.01 | 11% | 6 Jun → | ||
| 9–13 | 0.08 | 18% | 6 Jun → | ||
| 9–0 | 0.24 | 17% | 3 Jun → | ||
| 13–0 | 0.07 | 16% | 3 Jun → | ||
| 12–12 | 0.01 | 11% | 3 Jun → | ||
| 12–12 | 0.11 | 13% | 25 May → | ||
| 13–5 | 0.03 | 9% | 25 May → | ||
| 3–13 | 0.06 | 18% | 25 May → | ||
| 13–7 | 0.07 | 13% | 24 May → | ||
| 12–12 | 0.01 | 24% | 23 May → | ||
| 4–1 | 0.07 | 0% | 23 May → | ||
| 13–11 | 0.05 | 14% | 22 May → | ||
| 10–3 | 0.11 | 37% | 22 May → | ||
| 13–2 | 0.01 | 15% | 21 May → | ||
| 13–2 | 0.03 | 8% | 21 May → | ||
| 13–6 | -0.00 | 14% | 21 May → |
Match data via Leetify.