Julimemo — CS2 Stats
76561198146040041[U:1:185774313]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 43.0% | 42.1% | 42.5% | meets |
| Shot accuracy | 18.9% | 12.1% | 10.9% | above |
| Kill/death ratio | 1.05 | 0.99 | 0.99 | above |
| Match win rate | 36.4% | 43.9% | 44.2% | 7.8% short |
This profile matches the typical Level 4 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 4 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 · +0.00 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 NiKo 76% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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. 642ms 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 3.8/10 (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 71 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 | S | 18 | 13–5 | 72% | 0.00 |
 mirage | A | 14 | 8–6 | 57% | 0.00 |
 vertigo | A | 11 | 6–5 | 55% | 0.01 |
 ancient | D | 7 | 1–6 | 14% | -0.05 |
 dust2 | S | 5 | 4–1 | 80% | 0.00 |
 nuke | — | 4 | 2–2 | 50% | 0.01 |
 overpass | — | 4 | 2–2 | 50% | 0.00 |
 cache | — | 3 | 2–1 | 67% | -0.02 |
 train | — | 3 | 2–1 | 67% | -0.04 |
| alpine | — | 1 | 1–0 | 100% | 0.03 |
| office | — | 1 | 1–0 | 100% | 0.00 |
Across the last 71 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient 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 12.6037° — 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 14.8219% — 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.
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 | |
|---|---|---|---|---|---|
| nuke | 13–6 | 0.03 | 20% | 20 Jul → | |
| cache | 13–9 | -0.06 | 21% | 20 Jul → | |
| mirage | 3–13 | -0.09 | 13% | 19 Jul → | |
| dust2 | 4–13 | -0.08 | 17% | 19 Jul → | |
| mirage | 11–13 | -0.04 | 15% | 19 Jul → | |
| mirage | 6–13 | -0.04 | 7% | 27 Jun → | |
| inferno | 13–8 | 0.06 | 20% | 22 Jun → | |
| mirage | 8–13 | 0.02 | 17% | 22 Jun → | |
| dust2 | 13–6 | -0.00 | 19% | 22 Jun → | |
| alpine | 13–5 | 0.03 | 17% | 15 Jun → | |
| cache | 13–6 | 0.04 | 29% | 15 Jun → | |
| inferno | 6–13 | -0.07 | 9% | 2 Feb → | |
| dust2 | 13–7 | 0.01 | 13% | 26 Jan → | |
| train | 5–13 | -0.11 | 10% | 26 Jan → | |
| mirage | 13–9 | 0.02 | 19% | 5 Jan → | |
| vertigo | 13–9 | 0.04 | 14% | 5 Jan → | |
| train | 13–11 | -0.04 | 7% | 27 Dec → | |
| nuke | 9–13 | -0.06 | 9% | 26 Dec → | |
| vertigo | 10–13 | 0.03 | 19% | 26 Dec → | |
| ancient | 9–13 | -0.04 | 13% | 26 Dec → | |
| train | 13–10 | 0.02 | 16% | 25 Dec → | |
| inferno | 8–13 | -0.05 | 15% | 12 May → | |
| mirage | 12–12 | 0.07 | 19% | 14 Apr → | |
| inferno | 13–2 | 0.04 | 16% | 14 Apr → | |
| nuke | 9–13 | -0.04 | 10% | 13 Apr → | |
| inferno | 13–10 | -0.03 | 11% | 13 Apr → | |
| vertigo | 14–16 | -0.05 | 4% | 12 Apr → | |
| ancient | 10–13 | 0.03 | 16% | 12 Apr → | |
| inferno | 13–8 | 0.06 | 14% | 12 Apr → | |
| office | 13–5 | 0.00 | 23% | 11 Apr → | |
| mirage | 13–11 | 0.02 | 24% | 11 Apr → | |
| ancient | 10–13 | -0.08 | 7% | 9 Apr → | |
| overpass | 13–7 | 0.03 | 20% | 9 Apr → | |
| inferno | 13–5 | -0.01 | 14% | 8 Apr → | |
| inferno | 2–13 | -0.13 | 0% | 7 Apr → | |
| inferno | 13–2 | 0.04 | 19% | 7 Apr → | |
| mirage | 13–6 | -0.01 | 11% | 7 Apr → | |
| ancient | 0–4 | -0.12 | 0% | 5 Apr → | |
| inferno | 13–3 | -0.01 | 13% | 5 Apr → | |
| inferno | 13–9 | 0.05 | 17% | 5 Apr → | |
| vertigo | 13–3 | 0.13 | 18% | 5 Apr → | |
| mirage | 13–8 | -0.05 | 17% | 5 Apr → | |
| overpass | 12–12 | -0.04 | 26% | 4 Apr → | |
| inferno | 13–11 | 0.07 | 19% | 4 Apr → | |
| inferno | 13–9 | 0.04 | 13% | 3 Apr → | |
| mirage | 13–4 | 0.05 | 9% | 3 Apr → | |
| overpass | 7–3 | 0.03 | 5% | 3 Apr → | |
| dust2 | 13–4 | 0.05 | 32% | 3 Apr → | |
| inferno | 13–7 | 0.05 | 14% | 3 Apr → | |
| mirage | 13–1 | 0.03 | 28% | 3 Apr → | |
| overpass | 7–13 | -0.00 | 13% | 2 Apr → | |
| mirage | 13–7 | 0.00 | 12% | 2 Apr → | |
| vertigo | 16–13 | 0.02 | 9% | 2 Apr → | |
| mirage | 13–2 | 0.04 | 24% | 1 Apr → | |
| ancient | 13–7 | -0.05 | 18% | 1 Apr → | |
| nuke | 13–3 | 0.09 | 27% | 1 Apr → | |
| vertigo | 13–4 | -0.01 | 10% | 1 Apr → | |
| inferno | 11–6 | -0.05 | 29% | 29 Mar → | |
| ancient | 11–13 | -0.01 | 12% | 29 Mar → | |
| inferno | 13–5 | -0.01 | 14% | 25 Dec → | |
| vertigo | 15–15 | -0.05 | 12% | 13 Dec → | |
| ancient | 9–13 | -0.10 | 8% | 13 Dec → | |
| vertigo | 5–9 | -0.02 | 18% | 19 Aug → | |
| vertigo | 9–2 | 0.07 | 12% | 17 May → | |
| vertigo | 12–16 | -0.03 | 9% | 6 Mar → | |
| inferno | 13–16 | 0.00 | 13% | 16 Feb → | |
| cache | 7–16 | -0.03 | 8% | 16 Dec → | |
| dust2 | 6–2 | 0.03 | 30% | 14 Dec → | |
| mirage | 16–19 | -0.00 | 13% | 17 Sept → | |
| inferno | 12–16 | 0.00 | 16% | 29 May → | |
| vertigo | 16–11 | 0.00 | 7% | 26 Apr → |
Match data via Leetify.