The Dude :) — CS2 Stats
DE76561198087182607[U:1:126916879]Steam profile ↗✓ No bans
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 | 37.8% | 48.1% | 10.2% short |
| Shot accuracy | 16.3% | 12.9% | above |
| Kill/death ratio | 0.99 | 1.08 | 0.09 short |
| Match win rate | 42.4% | 46.5% | 4.0% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Headshot 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: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 88% 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 592ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
 inferno | C | 34 | 13–21 | 38% | -0.00 |
 ancient | A | 22 | 12–10 | 55% | 0.00 |
 cache | S | 12 | 8–4 | 67% | 0.00 |
 nuke | B | 10 | 5–5 | 50% | -0.01 |
 overpass | S | 7 | 5–2 | 71% | -0.01 |
 train | — | 4 | 2–2 | 50% | 0.02 |
| office | — | 2 | 1–1 | 50% | 0.05 |
 dust2 | — | 2 | 1–1 | 50% | 0.03 |
| alpine | — | 1 | 0–1 | 0% | 0.01 |
| stronghold | — | 1 | 1–0 | 100% | 0.04 |
| warden | — | 1 | 1–0 | 100% | -0.02 |
 anubis | — | 1 | 0–1 | 0% | -0.05 |
| poseidon | — | 1 | 1–0 | 100% | 0.08 |
| rooftop | — | 1 | 0–1 | 0% | -0.18 |
 mirage | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 34). Start with the 6 essential Inferno 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Cache | 7 | 43% | 0.96 | 15.0 |
| Inferno | 4 | 25% | 0.88 | 12.3 |
| Anubis | 1 | 100% | 1.13 | 17.0 |
| Mirage | 1 | 100% | 0.86 | 18.0 |
| Ancient | 1 | 0% | 0.75 | 12.0 |
| Vertigo | 1 | 0% | 0.40 | 6.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.0222% — below the 15% mark we flag
- 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 0.4389 — 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 39.3644% — 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.
38% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 8–13 | -0.03 | 10% | 26 Aug → | |
| ancient | 16–13 | 0.01 | 13% | 26 Aug → | |
| inferno | 13–11 | 0.06 | 21% | 26 Aug → | |
| inferno | 13–6 | -0.00 | 8% | 25 Aug → | |
| cache | 11–13 | -0.00 | 8% | 25 Aug → | |
| nuke | 13–6 | -0.03 | 16% | 25 Aug → | |
| office | 8–13 | 0.04 | 6% | 18 Aug → | |
| inferno | 13–5 | 0.02 | 10% | 18 Aug → | |
| inferno | 10–13 | -0.00 | 7% | 18 Aug → | |
| inferno | 11–13 | -0.04 | 19% | 3 Aug → | |
| ancient | 13–11 | 0.01 | 14% | 3 Aug → | |
| ancient | 9–13 | -0.01 | 10% | 3 Aug → | |
| ancient | 11–13 | -0.02 | 10% | 31 Jul → | |
| nuke | 13–7 | 0.03 | 16% | 31 Jul → | |
| inferno | 7–13 | 0.09 | 16% | 21 Jul → | |
| cache | 13–8 | 0.00 | 13% | 21 Jul → | |
| ancient | 13–6 | 0.10 | 14% | 21 Jul → | |
| cache | 5–13 | -0.02 | 7% | 13 Jul → | |
| nuke | 13–8 | -0.01 | 8% | 13 Jul → | |
| inferno | 11–13 | -0.02 | 13% | 13 Jul → | |
| inferno | 13–2 | 0.00 | 13% | 12 Jul → | |
| ancient | 13–7 | -0.02 | 12% | 12 Jul → | |
| ancient | 13–10 | 0.05 | 11% | 12 Jul → | |
| nuke | 3–13 | -0.05 | 5% | 12 Jul → | |
| cache | 13–5 | 0.06 | 14% | 12 Jul → | |
| cache | 13–7 | -0.07 | 8% | 16 Jun → | |
| cache | 13–11 | 0.02 | 11% | 19 May → | |
| inferno | 4–13 | -0.03 | 21% | 19 May → | |
| cache | 7–13 | -0.01 | 8% | 11 May → | |
| cache | 13–8 | 0.04 | 16% | 11 May → | |
| cache | 13–4 | -0.03 | 14% | 5 May → | |
| cache | 13–11 | 0.08 | 11% | 5 May → | |
| cache | 8–13 | -0.08 | 17% | 3 May → | |
| cache | 13–4 | 0.02 | 12% | 3 May → | |
| inferno | 8–13 | -0.00 | 22% | 27 Apr → | |
| inferno | 14–16 | -0.03 | 9% | 27 Apr → | |
| nuke | 8–13 | 0.03 | 9% | 20 Apr → | |
| inferno | 13–11 | -0.01 | 15% | 20 Apr → | |
| inferno | 13–5 | 0.03 | 16% | 23 Mar → | |
| inferno | 12–12 | -0.03 | 8% | 23 Mar → | |
| office | 13–7 | 0.06 | 16% | 24 Feb → | |
| inferno | 11–13 | 0.00 | 19% | 24 Feb → | |
| ancient | 13–6 | 0.01 | 6% | 5 Feb → | |
| nuke | 9–13 | -0.03 | 15% | 5 Feb → | |
| inferno | 14–16 | -0.06 | 18% | 5 Feb → | |
| inferno | 11–13 | -0.05 | 16% | 5 Feb → | |
| alpine | 12–12 | 0.01 | 6% | 5 Feb → | |
| stronghold | 13–9 | 0.04 | 9% | 5 Feb → | |
| warden | 13–11 | -0.02 | 4% | 5 Feb → | |
| inferno | 13–8 | -0.02 | 5% | 30 Jan → | |
| anubis | 5–13 | -0.05 | 10% | 30 Jan → | |
| dust2 | 13–3 | 0.05 | 9% | 30 Jan → | |
| ancient | 15–15 | -0.05 | 12% | 30 Jan → | |
| ancient | 5–13 | -0.04 | 5% | 30 Jan → | |
| poseidon | 9–3 | 0.08 | 5% | 30 Jan → | |
| inferno | 6–13 | 0.06 | 14% | 28 Jan → | |
| nuke | 13–7 | 0.03 | 3% | 25 Jan → | |
| ancient | 13–6 | -0.01 | 2% | 25 Jan → | |
| ancient | 6–13 | -0.04 | 16% | 25 Jan → | |
| nuke | 1–13 | -0.10 | 17% | 25 Jan → | |
| overpass | 13–11 | -0.04 | 10% | 23 Jan → | |
| inferno | 13–3 | -0.01 | 8% | 23 Jan → | |
| ancient | 13–3 | 0.04 | 20% | 23 Jan → | |
| inferno | 3–13 | -0.09 | 21% | 23 Jan → | |
| inferno | 13–16 | -0.03 | 10% | 23 Jan → | |
| inferno | 4–13 | -0.06 | 7% | 23 Jan → | |
| ancient | 13–6 | -0.04 | 8% | 23 Jan → | |
| dust2 | 9–13 | 0.00 | 21% | 19 Jan → | |
| overpass | 13–8 | -0.03 | 0% | 10 Jan → | |
| nuke | 13–6 | 0.02 | 23% | 10 Jan → | |
| ancient | 13–1 | 0.03 | 14% | 10 Jan → | |
| ancient | 6–13 | -0.04 | 22% | 10 Jan → | |
| inferno | 14–16 | 0.01 | 18% | 10 Jan → | |
| ancient | 13–5 | 0.02 | 15% | 10 Jan → | |
| inferno | 13–4 | 0.06 | 22% | 10 Jan → | |
| overpass | 5–13 | -0.04 | 13% | 10 Jan → | |
| inferno | 13–7 | 0.00 | 10% | 10 Jan → | |
| rooftop | 2–9 | -0.18 | 35% | 10 Jan → | |
| train | 13–10 | -0.01 | 21% | 9 Jan → | |
| mirage | 13–6 | -0.02 | 22% | 9 Jan → | |
| ancient | 13–9 | 0.04 | 16% | 9 Jan → | |
| nuke | 12–16 | -0.04 | 6% | 9 Jan → | |
| inferno | 9–13 | 0.03 | 22% | 9 Jan → | |
| inferno | 13–7 | 0.01 | 13% | 9 Jan → | |
| ancient | 9–13 | -0.01 | 11% | 9 Jan → | |
| train | 11–13 | 0.01 | 11% | 9 Jan → | |
| inferno | 10–13 | -0.02 | 13% | 8 Jan → | |
| train | 13–11 | 0.07 | 13% | 8 Jan → | |
| overpass | 16–14 | 0.04 | 7% | 8 Jan → | |
| overpass | 7–13 | -0.04 | 11% | 8 Jan → | |
| train | 5–13 | 0.00 | 11% | 3 Jan → | |
| inferno | 11–13 | 0.09 | 12% | 3 Jan → | |
| overpass | 13–8 | 0.04 | 19% | 3 Jan → | |
| inferno | 16–12 | 0.03 | 17% | 3 Jan → | |
| ancient | 14–16 | 0.03 | 11% | 3 Jan → | |
| overpass | 13–9 | -0.00 | 11% | 2 Jan → | |
| inferno | 13–8 | 0.04 | 18% | 2 Jan → | |
| ancient | 7–13 | -0.03 | 17% | 2 Jan → | |
| ancient | 10–13 | 0.04 | 14% | 2 Jan → | |
| inferno | 4–13 | -0.05 | 4% | 2 Jan → |
Match data via Leetify.