Администратор — CS2 Stats
JP76561198376778298[U:1:416512570]Steam profile ↗
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 49.1% | 44.2% | 47.1% | above |
| Shot accuracy | 19.2% | 11.6% | 12.8% | above |
| Kill/death ratio | 1.30 | 1.03 | 1.08 | above |
| Match win rate | 49.4% | 45.2% | 46.6% | above |
Across every metric we can compare, this profile already matches the typical Pink band 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: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerLimited utility dependence
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 s1mple 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Strengths
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
T openings. 61% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 606ms 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 7.6/10 (Strong), 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 |
|---|---|---|---|---|---|
 mirage | B | 25 | 12–13 | 48% | 0.03 |
 dust2 | B | 18 | 9–9 | 50% | 0.06 |
 inferno | A | 12 | 7–5 | 58% | 0.05 |
 anubis | C | 10 | 4–6 | 40% | 0.08 |
 overpass | D | 8 | 2–6 | 25% | 0.04 |
 ancient | S | 7 | 5–2 | 71% | 0.07 |
 nuke | D | 7 | 1–6 | 14% | 0.04 |
 train | — | 4 | 3–1 | 75% | 0.02 |
 cache | — | 3 | 3–0 | 100% | 0.10 |
| agency | — | 2 | 1–1 | 50% | 0.08 |
| italy | — | 1 | 0–1 | 0% | -0.04 |
 vertigo | — | 1 | 1–0 | 100% | -0.11 |
| edin | — | 1 | 1–0 | 100% | 0.07 |
| basalt | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 59 | 61% | 1.47 | 20.4 |
| Dust2 | 27 | 48% | 1.44 | 19.5 |
| Ancient | 24 | 42% | 1.19 | 17.5 |
| Inferno | 23 | 74% | 1.45 | 20.4 |
| Anubis | 23 | 65% | 1.28 | 16.5 |
| Vertigo | 7 | 29% | 1.19 | 17.7 |
| Nuke | 1 | 100% | 1.00 | 11.0 |
| Train | 1 | 0% | 0.81 | 13.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.3728 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 11–13 | -0.02 | 31% | 25 Jun → | |
| dust2 | 15–15 | 0.01 | 23% | 22 Jun → | |
| ancient | 6–13 | 0.13 | 32% | 22 Jun → | |
| ancient | 13–8 | 0.05 | 25% | 14 Jun → | |
| dust2 | 13–7 | 0.24 | 33% | 11 Jun → | |
| mirage | 13–0 | 0.14 | 21% | 10 Jun → | |
| inferno | 13–3 | 0.10 | 24% | 8 Jun → | |
| mirage | 13–4 | 0.05 | 14% | 7 Jun → | |
| cache | 13–7 | 0.06 | 26% | 5 Jun → | |
| mirage | 13–7 | 0.01 | 17% | 5 Jun → | |
| mirage | 13–3 | 0.21 | 27% | 4 Jun → | |
| cache | 13–4 | 0.03 | 13% | 2 Jun → | |
| dust2 | 13–9 | 0.14 | 28% | 31 May → | |
| inferno | 13–11 | 0.09 | 20% | 27 May → | |
| cache | 13–5 | 0.20 | 28% | 24 May → | |
| dust2 | 13–16 | 0.03 | 28% | 14 May → | |
| mirage | 16–12 | 0.04 | 30% | 8 May → | |
| inferno | 13–8 | 0.07 | 32% | 7 May → | |
| mirage | 15–15 | 0.04 | 19% | 3 May → | |
| anubis | 13–10 | 0.03 | 24% | 14 Feb → | |
| overpass | 13–5 | 0.04 | 36% | 9 Feb → | |
| inferno | 16–13 | 0.11 | 29% | 8 Feb → | |
| mirage | 6–13 | 0.04 | 18% | 23 Jan → | |
| dust2 | 11–13 | 0.07 | 30% | 29 Dec → | |
| train | 13–7 | 0.03 | 35% | 8 Dec → | |
| dust2 | 15–15 | 0.02 | 28% | 27 Nov → | |
| inferno | 13–5 | -0.01 | 29% | 15 Nov → | |
| nuke | 7–13 | -0.01 | 18% | 13 Nov → | |
| mirage | 13–4 | 0.00 | 21% | 8 Nov → | |
| dust2 | 7–3 | -0.02 | 20% | 8 Oct → | |
| mirage | 1–7 | 0.00 | 23% | 8 Oct → | |
| inferno | 9–13 | 0.04 | 22% | 2 Oct → | |
| mirage | 6–13 | 0.01 | 31% | 2 Oct → | |
| nuke | 10–13 | 0.05 | 26% | 29 Sept → | |
| dust2 | 5–13 | 0.09 | 43% | 14 Sept → | |
| overpass | 11–13 | 0.05 | 26% | 14 Sept → | |
| ancient | 13–4 | 0.00 | 18% | 3 Sept → | |
| overpass | 4–13 | 0.00 | 27% | 22 Aug → | |
| anubis | 9–13 | 0.01 | 22% | 21 Aug → | |
| dust2 | 13–7 | 0.11 | 37% | 20 Aug → | |
| dust2 | 9–13 | -0.01 | 23% | 15 Aug → | |
| italy | 1–13 | -0.04 | 23% | 14 Aug → | |
| mirage | 13–10 | 0.08 | 25% | 14 Aug → | |
| nuke | 5–13 | 0.03 | 22% | 25 Jul → | |
| overpass | 13–7 | 0.14 | 23% | 24 Jul → | |
| mirage | 16–13 | 0.03 | 25% | 24 Jul → | |
| dust2 | 13–9 | 0.03 | 23% | 23 Jul → | |
| overpass | 10–13 | 0.06 | 26% | 23 Jul → | |
| mirage | 6–13 | -0.04 | 45% | 21 Jul → | |
| ancient | 8–13 | 0.08 | 20% | 17 Jul → | |
| dust2 | 13–16 | -0.04 | 38% | 17 Jul → | |
| anubis | 13–8 | 0.06 | 28% | 14 Jul → | |
| train | 13–5 | 0.04 | 23% | 13 Jul → | |
| dust2 | 8–13 | 0.04 | 23% | 12 Jul → | |
| inferno | 13–2 | 0.10 | 40% | 11 Jul → | |
| nuke | 5–13 | -0.04 | 19% | 10 Jul → | |
| dust2 | 13–7 | 0.06 | 41% | 22 May → | |
| ancient | 13–10 | 0.09 | 21% | 20 May → | |
| anubis | 7–13 | 0.04 | 29% | 19 May → | |
| mirage | 10–13 | 0.09 | 33% | 18 May → | |
| overpass | 7–13 | -0.02 | 18% | 14 May → | |
| agency | 11–13 | -0.01 | 38% | 13 May → | |
| agency | 13–8 | 0.17 | 27% | 12 May → | |
| inferno | 11–13 | 0.14 | 29% | 9 May → | |
| mirage | 11–13 | -0.04 | 24% | 28 Apr → | |
| mirage | 7–13 | -0.04 | 14% | 26 Apr → | |
| mirage | 13–7 | 0.04 | 25% | 24 Apr → | |
| mirage | 15–15 | 0.02 | 29% | 20 Apr → | |
| ancient | 13–11 | 0.03 | 22% | 18 Apr → | |
| anubis | 13–4 | 0.07 | 25% | 16 Apr → | |
| nuke | 13–5 | 0.21 | 35% | 14 Apr → | |
| vertigo | 9–7 | -0.11 | 53% | 3 Apr → | |
| inferno | 10–13 | 0.02 | 15% | 2 Apr → | |
| ancient | 13–5 | 0.14 | 19% | 2 Apr → | |
| anubis | 14–16 | 0.05 | 18% | 1 Apr → | |
| nuke | 2–13 | -0.06 | 11% | 31 Mar → | |
| nuke | 10–13 | 0.12 | 23% | 25 Mar → | |
| anubis | 10–13 | 0.06 | 27% | 22 Mar → | |
| dust2 | 13–3 | 0.11 | 18% | 21 Mar → | |
| anubis | 13–3 | 0.11 | 19% | 12 Mar → | |
| overpass | 9–13 | 0.02 | 23% | 10 Mar → | |
| inferno | 13–6 | -0.02 | 31% | 3 Mar → | |
| dust2 | 13–10 | 0.07 | 25% | 2 Mar → | |
| inferno | 11–13 | -0.02 | 25% | 1 Mar → | |
| inferno | 13–16 | -0.01 | 27% | 16 Feb → | |
| train | 8–13 | -0.03 | 33% | 16 Feb → | |
| mirage | 10–13 | -0.04 | 31% | 16 Feb → | |
| mirage | 9–13 | 0.05 | 45% | 15 Feb → | |
| mirage | 16–13 | 0.07 | 39% | 12 Feb → | |
| train | 13–5 | 0.05 | 23% | 4 Feb → | |
| edin | 13–9 | 0.07 | 30% | 26 Jan → | |
| mirage | 14–16 | 0.08 | 29% | 25 Jan → | |
| dust2 | 13–10 | 0.14 | 32% | 24 Jan → | |
| anubis | 3–6 | 0.35 | 32% | 24 Jan → | |
| basalt | 6–13 | 0.02 | 32% | 19 Jan → | |
| overpass | 7–13 | 0.05 | 29% | 19 Jan → | |
| dust2 | 13–16 | 0.05 | 41% | 18 Jan → | |
| anubis | 7–13 | 0.02 | 32% | 16 Jan → | |
| mirage | 13–5 | 0.03 | 34% | 15 Jan → | |
| mirage | 13–11 | -0.02 | 18% | 11 Aug → |
Match data via Leetify.
