imdb-enjoyer — CS2 Stats
76561198164543434[U:1:204277706]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp 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 ropz 72% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Reaction time. 632ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% 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 3.6/10 (Learning), 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 | D | 23 | 6–17 | 26% | -0.04 |
 dust2 | C | 18 | 8–10 | 44% | -0.03 |
 ancient | B | 11 | 5–6 | 45% | 0.01 |
 nuke | D | 9 | 3–6 | 33% | -0.02 |
 anubis | A | 8 | 5–3 | 63% | -0.00 |
 vertigo | C | 8 | 3–5 | 38% | -0.01 |
 train | A | 8 | 5–3 | 63% | -0.01 |
 mirage | D | 6 | 2–4 | 33% | -0.04 |
 cache | — | 2 | 0–2 | 0% | 0.02 |
 overpass | — | 2 | 0–2 | 0% | -0.02 |
| office | — | 2 | 1–1 | 50% | 0.00 |
| agency | — | 1 | 0–1 | 0% | -0.06 |
| brewery | — | 1 | 0–1 | 0% | -0.01 |
| italy | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (26% over 23). 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.
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 13.2244% — 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 0.2023 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
26% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 5–13 | 0.00 | 14% | 20 May → | |
| cache | 12–12 | 0.04 | 15% | 20 May → | |
| inferno | 9–13 | -0.06 | 13% | 18 Mar → | |
| nuke | 13–11 | 0.00 | 18% | 18 Mar → | |
| anubis | 13–3 | 0.04 | 8% | 18 Mar → | |
| ancient | 13–5 | 0.09 | 6% | 11 Mar → | |
| dust2 | 12–12 | -0.02 | 19% | 10 Mar → | |
| ancient | 6–13 | -0.07 | 5% | 6 Mar → | |
| overpass | 9–13 | -0.05 | 10% | 5 Mar → | |
| anubis | 7–13 | 0.01 | 12% | 5 Mar → | |
| nuke | 11–13 | -0.03 | 12% | 4 Mar → | |
| vertigo | 9–13 | 0.00 | 14% | 4 Mar → | |
| dust2 | 13–5 | 0.01 | 17% | 4 Mar → | |
| inferno | 12–12 | 0.00 | 7% | 4 Feb → | |
| anubis | 13–2 | 0.02 | 10% | 2 Feb → | |
| inferno | 12–12 | -0.06 | 8% | 2 Feb → | |
| ancient | 11–1 | 0.05 | 28% | 2 Feb → | |
| mirage | 13–11 | -0.05 | 13% | 2 Feb → | |
| inferno | 4–13 | -0.07 | 13% | 22 Jan → | |
| ancient | 13–6 | 0.03 | 24% | 22 Jan → | |
| mirage | 12–12 | -0.06 | 9% | 22 Jan → | |
| dust2 | 13–10 | -0.01 | 10% | 10 Jan → | |
| train | 6–13 | -0.03 | 10% | 10 Jan → | |
| anubis | 13–8 | -0.02 | 24% | 10 Jan → | |
| dust2 | 12–12 | -0.02 | 22% | 9 Jan → | |
| ancient | 12–12 | 0.05 | 14% | 9 Jan → | |
| inferno | 13–6 | -0.10 | 6% | 17 Dec → | |
| ancient | 13–6 | 0.10 | 18% | 17 Dec → | |
| ancient | 12–12 | -0.04 | 14% | 17 Dec → | |
| train | 13–8 | 0.00 | 9% | 17 Dec → | |
| dust2 | 13–9 | 0.03 | 11% | 4 Nov → | |
| inferno | 13–11 | -0.06 | 27% | 4 Nov → | |
| inferno | 7–13 | -0.07 | 19% | 26 Sept → | |
| inferno | 7–13 | -0.05 | 13% | 26 Sept → | |
| dust2 | 13–9 | -0.02 | 6% | 26 Sept → | |
| mirage | 9–13 | -0.05 | 12% | 26 Sept → | |
| anubis | 13–7 | -0.02 | 19% | 26 Sept → | |
| inferno | 6–13 | -0.07 | 18% | 25 Sept → | |
| vertigo | 13–3 | 0.18 | 11% | 25 Sept → | |
| anubis | 12–12 | 0.00 | 7% | 25 Sept → | |
| nuke | 5–13 | 0.03 | 13% | 25 Sept → | |
| inferno | 8–13 | -0.05 | 13% | 5 Sept → | |
| dust2 | 13–10 | 0.00 | 4% | 5 Sept → | |
| inferno | 5–13 | -0.09 | 3% | 5 Sept → | |
| nuke | 13–10 | -0.01 | 16% | 4 Sept → | |
| train | 13–4 | -0.06 | 15% | 4 Sept → | |
| dust2 | 10–13 | -0.01 | 6% | 4 Sept → | |
| overpass | 10–13 | 0.01 | 15% | 28 Aug → | |
| dust2 | 5–13 | -0.07 | 13% | 28 Aug → | |
| train | 13–5 | 0.05 | 10% | 24 Aug → | |
| mirage | 9–13 | -0.04 | 15% | 22 Aug → | |
| dust2 | 4–13 | -0.01 | 8% | 22 Aug → | |
| inferno | 13–9 | 0.06 | 10% | 22 Aug → | |
| dust2 | 13–11 | 0.05 | 20% | 27 Jul → | |
| nuke | 10–13 | -0.05 | 5% | 18 Jul → | |
| dust2 | 12–12 | -0.04 | 4% | 18 Jul → | |
| train | 8–13 | -0.04 | 15% | 18 Jul → | |
| inferno | 13–6 | 0.01 | 32% | 26 Jun → | |
| ancient | 10–13 | 0.03 | 17% | 26 Jun → | |
| office | 0–13 | -0.09 | 4% | 26 Jun → | |
| dust2 | 1–13 | -0.09 | 21% | 26 Jun → | |
| anubis | 12–12 | -0.05 | 11% | 26 Jun → | |
| inferno | 3–13 | -0.07 | 13% | 12 Jun → | |
| office | 13–8 | 0.09 | 10% | 12 Jun → | |
| inferno | 12–12 | -0.05 | 6% | 11 Jun → | |
| mirage | 13–11 | -0.05 | 10% | 11 Jun → | |
| nuke | 6–13 | -0.05 | 21% | 29 May → | |
| vertigo | 8–13 | -0.06 | 9% | 29 May → | |
| inferno | 12–12 | -0.05 | 12% | 28 May → | |
| train | 13–7 | 0.02 | 26% | 28 May → | |
| ancient | 13–9 | -0.03 | 9% | 22 May → | |
| dust2 | 10–13 | -0.08 | 14% | 22 May → | |
| anubis | 13–2 | 0.01 | 11% | 21 May → | |
| agency | 9–13 | -0.06 | 14% | 21 May → | |
| nuke | 13–10 | 0.04 | 15% | 20 May → | |
| vertigo | 6–13 | -0.03 | 16% | 20 May → | |
| dust2 | 13–6 | -0.03 | 19% | 20 May → | |
| mirage | 6–13 | 0.02 | 24% | 16 May → | |
| dust2 | 7–13 | -0.07 | 14% | 16 May → | |
| vertigo | 6–13 | -0.08 | 6% | 16 May → | |
| inferno | 9–13 | -0.04 | 9% | 16 May → | |
| inferno | 8–8 | -0.02 | 11% | 15 May → | |
| inferno | 9–3 | 0.10 | 29% | 15 May → | |
| brewery | 8–8 | -0.01 | 15% | 15 May → | |
| inferno | 5–9 | -0.12 | 5% | 15 May → | |
| inferno | 9–4 | 0.09 | 28% | 15 May → | |
| train | 13–7 | 0.01 | 20% | 15 May → | |
| italy | 0–7 | -0.01 | 15% | 2 May → | |
| vertigo | 7–13 | -0.04 | 18% | 2 May → | |
| inferno | 8–13 | -0.01 | 13% | 2 May → | |
| nuke | 7–13 | -0.08 | 13% | 17 Apr → | |
| inferno | 12–12 | -0.04 | 14% | 2 Apr → | |
| ancient | 5–13 | -0.05 | 9% | 2 Apr → | |
| dust2 | 7–13 | -0.10 | 18% | 2 Apr → | |
| nuke | 12–12 | -0.02 | 7% | 2 Apr → | |
| ancient | 7–13 | -0.09 | 8% | 29 Mar → | |
| vertigo | 13–8 | -0.07 | 6% | 29 Mar → | |
| train | 6–13 | -0.03 | 16% | 29 Mar → | |
| vertigo | 13–7 | -0.02 | 11% | 15 Mar → | |
| dust2 | 13–9 | -0.05 | 9% | 15 Mar → |
Match data via Leetify.