obZ3n — CS2 Stats
76561198039466788[U:1:79201060]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.03 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 ropz 82% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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. 587ms 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 4.6/10 (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 |
|---|---|---|---|---|---|
| office | B | 49 | 25–24 | 51% | 0.02 |
| C | 17 | 6–11 | 35% | -0.01 | |
| D | 12 | 3–9 | 25% | -0.00 | |
| agency | S | 6 | 4–2 | 67% | 0.02 |
| A | 5 | 3–2 | 60% | 0.07 | |
| shelter | — | 2 | 0–2 | 0% | -0.02 |
| — | 2 | 2–0 | 100% | 0.00 | |
| italy | — | 2 | 0–2 | 0% | 0.02 |
| — | 1 | 0–1 | 0% | 0.01 | |
| alpine | — | 1 | 0–1 | 0% | 0.05 |
| warden | — | 1 | 1–0 | 100% | -0.02 |
| golden | — | 1 | 0–1 | 0% | -0.05 |
| palacio | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 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 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 12.1303% — 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 0.4754 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 33.4454% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 7–13 | -0.03 | 15% | 23 Aug → | |
| shelter | 11–13 | -0.03 | 4% | 13 Jul → | |
| office | 3–13 | 0.06 | 11% | 13 Jul → | |
| shelter | 10–13 | -0.00 | 15% | 12 Jul → | |
| office | 11–13 | -0.04 | 11% | 12 Jul → | |
| office | 4–13 | -0.04 | 16% | 2 Jun → | |
| 13–7 | 0.04 | 11% | 30 May → | ||
| 6–13 | -0.07 | 12% | 30 May → | ||
| 13–3 | -0.03 | 24% | 25 May → | ||
| office | 9–13 | 0.02 | 21% | 14 May → | |
| office | 13–3 | -0.00 | 17% | 13 May → | |
| office | 13–11 | -0.03 | 8% | 23 Apr → | |
| 13–7 | -0.02 | 13% | 22 Apr → | ||
| 12–12 | -0.04 | 15% | 19 Apr → | ||
| office | 13–5 | 0.03 | 16% | 15 Apr → | |
| 9–13 | -0.02 | 5% | 13 Apr → | ||
| 13–7 | 0.08 | 5% | 12 Apr → | ||
| 5–13 | -0.08 | 9% | 25 Mar → | ||
| office | 5–1 | 0.12 | 5% | 25 Mar → | |
| office | 13–8 | 0.10 | 16% | 21 Mar → | |
| office | 13–6 | 0.07 | 10% | 19 Mar → | |
| 13–10 | -0.01 | 9% | 16 Mar → | ||
| 5–13 | 0.02 | 13% | 16 Mar → | ||
| 10–13 | -0.02 | 14% | 4 Mar → | ||
| office | 13–5 | 0.07 | 21% | 3 Mar → | |
| 13–4 | 0.07 | 3% | 24 Feb → | ||
| 12–12 | -0.00 | 14% | 24 Feb → | ||
| 4–13 | 0.09 | 7% | 2 Feb → | ||
| 11–13 | 0.01 | 7% | 24 Jan → | ||
| alpine | 9–13 | 0.05 | 16% | 23 Jan → | |
| office | 13–5 | -0.01 | 17% | 23 Jan → | |
| warden | 13–10 | -0.02 | 10% | 23 Jan → | |
| office | 9–13 | -0.07 | 5% | 18 Jan → | |
| office | 11–13 | -0.02 | 14% | 13 Jan → | |
| agency | 8–13 | -0.05 | 9% | 8 Jan → | |
| office | 13–3 | 0.11 | 13% | 8 Jan → | |
| office | 13–11 | 0.01 | 18% | 6 Jan → | |
| office | 9–13 | 0.02 | 12% | 5 Jan → | |
| agency | 13–5 | -0.02 | 18% | 5 Jan → | |
| office | 13–9 | 0.01 | 17% | 3 Jan → | |
| office | 4–1 | -0.04 | 25% | 3 Jan → | |
| office | 5–13 | -0.04 | 15% | 28 Dec → | |
| 13–5 | 0.02 | 14% | 28 Dec → | ||
| 12–12 | 0.01 | 7% | 28 Dec → | ||
| agency | 13–2 | 0.05 | 8% | 27 Dec → | |
| office | 4–13 | 0.01 | 18% | 27 Dec → | |
| office | 6–13 | 0.02 | 17% | 26 Dec → | |
| office | 13–8 | 0.08 | 10% | 24 Dec → | |
| 3–13 | -0.00 | 13% | 23 Dec → | ||
| office | 12–12 | -0.02 | 14% | 22 Dec → | |
| agency | 13–2 | 0.18 | 50% | 22 Dec → | |
| italy | 11–13 | 0.05 | 3% | 21 Dec → | |
| office | 13–4 | 0.05 | 13% | 20 Dec → | |
| office | 12–12 | 0.07 | 6% | 17 Dec → | |
| 13–6 | 0.00 | 20% | 12 Dec → | ||
| agency | 5–13 | -0.03 | 12% | 10 Dec → | |
| office | 13–9 | 0.04 | 10% | 9 Dec → | |
| office | 9–13 | -0.03 | 10% | 7 Dec → | |
| office | 13–5 | 0.04 | 9% | 4 Dec → | |
| office | 10–13 | 0.04 | 16% | 2 Dec → | |
| 11–13 | 0.05 | 4% | 1 Dec → | ||
| office | 13–9 | 0.08 | 10% | 1 Dec → | |
| agency | 13–1 | 0.01 | 10% | 24 Nov → | |
| 13–3 | 0.07 | 9% | 23 Nov → | ||
| 12–12 | -0.05 | 3% | 18 Nov → | ||
| 4–13 | 0.01 | 0% | 17 Nov → | ||
| 7–13 | 0.03 | 14% | 17 Nov → | ||
| 13–9 | -0.02 | 10% | 13 Nov → | ||
| office | 13–4 | 0.01 | 4% | 11 Nov → | |
| 12–12 | -0.00 | 5% | 10 Nov → | ||
| 13–11 | 0.06 | 6% | 5 Nov → | ||
| office | 6–13 | 0.04 | 13% | 1 Nov → | |
| 13–4 | 0.18 | 8% | 1 Nov → | ||
| 4–13 | 0.03 | 12% | 29 Oct → | ||
| office | 13–4 | 0.06 | 15% | 29 Oct → | |
| office | 6–13 | -0.01 | 11% | 21 Oct → | |
| office | 12–12 | -0.06 | 13% | 19 Oct → | |
| 5–13 | -0.09 | 10% | 19 Oct → | ||
| office | 13–4 | 0.11 | 24% | 13 Oct → | |
| 13–9 | -0.01 | 2% | 13 Oct → | ||
| office | 3–10 | -0.04 | 17% | 12 Oct → | |
| office | 4–13 | 0.07 | 6% | 9 Oct → | |
| office | 13–6 | -0.03 | 20% | 8 Oct → | |
| golden | 9–13 | -0.05 | 10% | 8 Oct → | |
| office | 13–4 | -0.00 | 9% | 7 Oct → | |
| office | 10–13 | 0.04 | 17% | 6 Oct → | |
| palacio | 8–13 | -0.02 | 5% | 6 Oct → | |
| office | 12–12 | 0.04 | 16% | 2 Oct → | |
| office | 2–13 | -0.01 | 3% | 2 Oct → | |
| office | 13–2 | 0.08 | 15% | 1 Oct → | |
| 5–13 | -0.02 | 4% | 1 Oct → | ||
| 5–13 | -0.03 | 10% | 29 Sept → | ||
| 6–13 | -0.05 | 2% | 29 Sept → | ||
| office | 13–7 | 0.02 | 11% | 28 Sept → | |
| office | 4–8 | 0.04 | 13% | 28 Sept → | |
| italy | 1–13 | 0.00 | 12% | 28 Sept → | |
| 4–13 | 0.05 | 6% | 24 Sept → | ||
| office | 8–13 | 0.03 | 25% | 24 Sept → | |
| 13–4 | 0.01 | 3% | 22 Sept → | ||
| 9–13 | -0.02 | 13% | 22 Sept → |
Match data via Leetify.