Dafeqc — CS2 Stats
76561198005159094[U:1:44893366]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=7,746), 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 | 35.2% | 44.2% | 47.1% | 11.9% short |
| Shot accuracy | 14.5% | 11.7% | 12.8% | above |
| Kill/death ratio | 1.16 | 1.03 | 1.08 | above |
| Match win rate | 39.8% | 45.2% | 46.7% | 6.9% short |
This profile matches the typical Pink band player on 2 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
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 81% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: higher opening-fight frequency; 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. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.5/10 (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 |
|---|---|---|---|---|---|
 nuke | B | 26 | 14–12 | 54% | 0.02 |
 ancient | A | 20 | 12–8 | 60% | 0.02 |
 anubis | C | 16 | 6–10 | 38% | -0.02 |
 inferno | B | 15 | 8–7 | 53% | -0.01 |
 dust2 | B | 8 | 4–4 | 50% | -0.02 |
 overpass | C | 5 | 2–3 | 40% | -0.03 |
| office | — | 3 | 2–1 | 67% | 0.00 |
 train | — | 3 | 3–0 | 100% | 0.05 |
 vertigo | — | 2 | 1–1 | 50% | -0.02 |
 mirage | — | 2 | 1–1 | 50% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 16). 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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1408° — above the 12° mark we flag
- 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 12.1641% — below the 15% 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 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 10–13 | -0.01 | 16% | 15 Jun → | |
| nuke | 13–8 | -0.02 | 19% | 15 Jun → | |
| anubis | 11–13 | -0.06 | 8% | 12 Jun → | |
| inferno | 13–10 | -0.02 | 10% | 12 Jun → | |
| ancient | 8–13 | -0.06 | 13% | 12 Jun → | |
| nuke | 5–13 | 0.01 | 16% | 12 Jun → | |
| nuke | 13–4 | 0.07 | 14% | 11 Jun → | |
| inferno | 13–10 | 0.01 | 17% | 10 Jun → | |
| overpass | 13–11 | 0.01 | 17% | 10 Jun → | |
| ancient | 13–8 | 0.05 | 7% | 8 Jun → | |
| vertigo | 13–11 | -0.06 | 17% | 7 Jun → | |
| nuke | 13–4 | 0.13 | 14% | 6 Jun → | |
| nuke | 2–9 | -0.05 | 0% | 6 Jun → | |
| anubis | 13–6 | 0.06 | 21% | 5 Jun → | |
| overpass | 11–13 | -0.07 | 13% | 26 Mar → | |
| dust2 | 4–13 | -0.01 | 5% | 26 Mar → | |
| overpass | 13–7 | -0.02 | 8% | 19 Mar → | |
| office | 13–6 | -0.01 | 19% | 19 Mar → | |
| vertigo | 9–13 | 0.02 | 10% | 17 Feb → | |
| anubis | 13–5 | 0.05 | 12% | 5 Feb → | |
| ancient | 13–11 | 0.00 | 6% | 3 Feb → | |
| dust2 | 13–7 | -0.02 | 17% | 2 Feb → | |
| dust2 | 1–13 | -0.12 | 0% | 2 Feb → | |
| ancient | 13–6 | 0.12 | 14% | 30 Jan → | |
| inferno | 8–13 | -0.02 | 9% | 29 Jan → | |
| anubis | 6–13 | -0.01 | 13% | 29 Jan → | |
| anubis | 14–16 | -0.03 | 8% | 28 Jan → | |
| nuke | 13–5 | 0.09 | 10% | 28 Jan → | |
| nuke | 13–11 | -0.02 | 13% | 26 Jan → | |
| inferno | 5–13 | -0.09 | 10% | 26 Jan → | |
| anubis | 4–0 | -0.06 | 0% | 26 Jan → | |
| anubis | 13–4 | -0.01 | 15% | 26 Jan → | |
| inferno | 14–16 | -0.07 | 12% | 26 Jan → | |
| office | 8–13 | -0.02 | 8% | 26 Jan → | |
| anubis | 14–16 | -0.04 | 14% | 25 Jan → | |
| office | 13–7 | 0.05 | 10% | 25 Jan → | |
| ancient | 13–10 | 0.07 | 24% | 23 Jan → | |
| anubis | 7–13 | -0.04 | 24% | 23 Jan → | |
| ancient | 13–6 | 0.09 | 17% | 22 Jan → | |
| nuke | 13–2 | 0.03 | 12% | 22 Jan → | |
| nuke | 8–13 | -0.03 | 6% | 22 Jan → | |
| inferno | 13–8 | 0.05 | 9% | 13 Jan → | |
| ancient | 13–2 | -0.06 | 12% | 7 Jan → | |
| dust2 | 13–11 | -0.00 | 19% | 29 Dec → | |
| ancient | 4–13 | -0.03 | 9% | 29 Dec → | |
| inferno | 13–11 | 0.01 | 17% | 23 Dec → | |
| train | 13–4 | 0.09 | 16% | 23 Dec → | |
| ancient | 12–16 | -0.01 | 14% | 27 Nov → | |
| nuke | 11–13 | -0.02 | 14% | 22 Nov → | |
| inferno | 13–9 | 0.01 | 18% | 20 Nov → | |
| ancient | 13–7 | -0.01 | 8% | 20 Nov → | |
| nuke | 13–7 | 0.02 | 22% | 20 Nov → | |
| train | 13–8 | 0.03 | 12% | 19 Nov → | |
| ancient | 13–5 | -0.00 | 8% | 19 Nov → | |
| inferno | 13–11 | -0.01 | 22% | 19 Nov → | |
| inferno | 5–13 | -0.06 | 16% | 18 Nov → | |
| nuke | 13–11 | 0.04 | 14% | 18 Nov → | |
| nuke | 12–12 | 0.04 | 22% | 14 Nov → | |
| inferno | 13–10 | 0.06 | 23% | 8 Nov → | |
| overpass | 3–13 | -0.06 | 8% | 8 Nov → | |
| nuke | 13–8 | 0.03 | 15% | 7 Nov → | |
| nuke | 11–13 | 0.04 | 12% | 7 Nov → | |
| nuke | 2–13 | -0.03 | 19% | 7 Nov → | |
| dust2 | 9–13 | -0.05 | 18% | 7 Nov → | |
| nuke | 13–10 | 0.08 | 22% | 6 Nov → | |
| nuke | 10–13 | -0.04 | 20% | 5 Nov → | |
| inferno | 10–13 | 0.05 | 13% | 4 Nov → | |
| nuke | 13–10 | 0.03 | 30% | 4 Nov → | |
| ancient | 12–16 | -0.03 | 11% | 4 Nov → | |
| overpass | 9–13 | -0.01 | 15% | 3 Nov → | |
| nuke | 11–13 | -0.08 | 6% | 3 Nov → | |
| nuke | 13–7 | 0.09 | 25% | 30 Oct → | |
| ancient | 13–8 | 0.04 | 15% | 30 Oct → | |
| anubis | 10–13 | -0.06 | 12% | 17 Oct → | |
| dust2 | 13–7 | 0.04 | 12% | 25 Jun → | |
| dust2 | 6–1 | 0.01 | 5% | 25 Jun → | |
| mirage | 9–13 | -0.02 | 10% | 25 May → | |
| ancient | 13–4 | 0.04 | 9% | 23 May → | |
| nuke | 11–13 | 0.01 | 13% | 23 May → | |
| ancient | 13–16 | 0.07 | 12% | 22 May → | |
| anubis | 6–13 | 0.01 | 14% | 22 May → | |
| nuke | 6–13 | -0.06 | 6% | 22 May → | |
| inferno | 4–13 | -0.04 | 10% | 22 May → | |
| nuke | 13–7 | -0.03 | 24% | 21 May → | |
| ancient | 13–6 | 0.10 | 20% | 21 May → | |
| anubis | 13–11 | -0.02 | 14% | 20 May → | |
| anubis | 13–7 | 0.01 | 7% | 20 May → | |
| ancient | 10–13 | -0.05 | 17% | 20 May → | |
| inferno | 7–13 | -0.02 | 15% | 20 May → | |
| anubis | 2–13 | -0.02 | 10% | 20 May → | |
| nuke | 13–3 | 0.04 | 13% | 19 May → | |
| mirage | 13–4 | 0.02 | 13% | 19 May → | |
| ancient | 13–9 | -0.01 | 32% | 15 May → | |
| nuke | 13–16 | 0.08 | 9% | 15 May → | |
| ancient | 8–13 | -0.04 | 11% | 14 May → | |
| train | 13–5 | 0.04 | 7% | 14 May → | |
| dust2 | 5–13 | -0.02 | 25% | 14 May → | |
| ancient | 15–15 | 0.00 | 2% | 13 May → | |
| anubis | 12–16 | -0.05 | 12% | 13 May → | |
| inferno | 13–4 | 0.01 | 18% | 12 May → |
Match data via Leetify.
