losing — CS2 Stats
76561199183988285[U:1:1223722557]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.05 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 81% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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. 626ms 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 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 68 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 |
|---|---|---|---|---|---|
 dust2 | S | 10 | 7–3 | 70% | 0.04 |
 nuke | C | 8 | 3–5 | 38% | 0.04 |
 vertigo | D | 7 | 2–5 | 29% | 0.01 |
 train | S | 7 | 6–1 | 86% | 0.02 |
| office | D | 6 | 2–4 | 33% | -0.01 |
 cache | D | 6 | 1–5 | 17% | 0.02 |
 anubis | S | 6 | 5–1 | 83% | 0.02 |
 inferno | B | 6 | 3–3 | 50% | 0.06 |
 overpass | B | 6 | 3–3 | 50% | 0.02 |
 mirage | S | 6 | 4–2 | 67% | 0.01 |
Across the last 68 tracked matches.
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 13.2278% — 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 0.3431 — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| vertigo | 13–1 | -0.01 | 4% | 4 Aug → | |
| vertigo | 11–13 | -0.01 | 13% | 4 Aug → | |
| office | 4–13 | -0.01 | 16% | 14 May → | |
| office | 10–13 | -0.03 | 10% | 14 May → | |
| office | 7–13 | -0.04 | 6% | 14 May → | |
| cache | 5–13 | -0.05 | 11% | 7 May → | |
| cache | 2–8 | 0.02 | 3% | 7 May → | |
| cache | 13–10 | 0.05 | 8% | 6 May → | |
| cache | 6–13 | 0.04 | 7% | 6 May → | |
| cache | 5–13 | 0.01 | 12% | 2 May → | |
| cache | 12–12 | 0.07 | 17% | 1 May → | |
| train | 13–10 | -0.00 | 12% | 24 Apr → | |
| vertigo | 13–4 | 0.12 | 19% | 13 Apr → | |
| vertigo | 7–13 | -0.06 | 9% | 12 Apr → | |
| anubis | 6–6 | 0.08 | 19% | 3 Apr → | |
| anubis | 13–6 | -0.03 | 13% | 1 Apr → | |
| inferno | 13–4 | 0.26 | 15% | 27 Mar → | |
| nuke | 6–13 | 0.03 | 19% | 26 Mar → | |
| office | 13–8 | -0.05 | 0% | 18 Mar → | |
| overpass | 8–13 | 0.03 | 24% | 12 Mar → | |
| overpass | 13–11 | -0.05 | 7% | 12 Mar → | |
| inferno | 11–13 | 0.05 | 18% | 7 Mar → | |
| nuke | 11–13 | -0.02 | 31% | 7 Mar → | |
| inferno | 2–13 | -0.01 | 21% | 7 Mar → | |
| train | 13–2 | -0.04 | 3% | 3 Mar → | |
| mirage | 16–14 | -0.05 | 9% | 26 Feb → | |
| mirage | 13–4 | -0.03 | 16% | 26 Feb → | |
| nuke | 13–3 | 0.06 | 19% | 26 Feb → | |
| mirage | 8–3 | 0.12 | 3% | 25 Feb → | |
| train | 8–13 | 0.01 | 23% | 25 Feb → | |
| nuke | 13–7 | 0.07 | 6% | 13 Feb → | |
| nuke | 9–13 | 0.00 | 6% | 13 Feb → | |
| inferno | 5–13 | -0.07 | 12% | 13 Feb → | |
| mirage | 11–13 | -0.03 | 12% | 11 Feb → | |
| dust2 | 13–10 | 0.01 | 18% | 11 Feb → | |
| dust2 | 13–9 | 0.05 | 15% | 11 Feb → | |
| nuke | 11–13 | 0.04 | 13% | 11 Feb → | |
| vertigo | 7–13 | 0.03 | 11% | 11 Feb → | |
| anubis | 6–13 | 0.05 | 14% | 11 Feb → | |
| dust2 | 13–9 | -0.01 | 12% | 8 Feb → | |
| nuke | 13–1 | 0.12 | 19% | 7 Feb → | |
| dust2 | 11–13 | 0.08 | 16% | 7 Feb → | |
| mirage | 13–5 | 0.12 | 12% | 6 Feb → | |
| anubis | 13–10 | 0.06 | 6% | 4 Feb → | |
| dust2 | 13–10 | 0.06 | 12% | 2 Feb → | |
| mirage | 6–13 | -0.03 | 6% | 2 Feb → | |
| dust2 | 13–6 | 0.06 | 5% | 30 Jan → | |
| nuke | 8–13 | 0.02 | 9% | 30 Jan → | |
| dust2 | 13–4 | -0.00 | 7% | 29 Jan → | |
| dust2 | 16–12 | 0.08 | 16% | 29 Jan → | |
| office | 13–7 | 0.01 | 35% | 21 Jan → | |
| overpass | 11–13 | 0.11 | 19% | 17 Jan → | |
| overpass | 0–13 | -0.04 | 19% | 14 Jan → | |
| overpass | 13–0 | 0.11 | 15% | 14 Jan → | |
| train | 13–8 | 0.00 | 12% | 6 Jan → | |
| train | 13–3 | 0.06 | 21% | 31 Dec → | |
| vertigo | 6–13 | 0.02 | 15% | 17 Dec → | |
| anubis | 13–11 | -0.01 | 15% | 15 Dec → | |
| office | 7–13 | 0.06 | 6% | 29 Nov → | |
| dust2 | 10–13 | -0.02 | 12% | 20 Nov → | |
| overpass | 13–11 | -0.05 | 20% | 19 Nov → | |
| dust2 | 12–12 | 0.05 | 21% | 13 Nov → | |
| train | 13–4 | 0.03 | 17% | 7 Nov → | |
| train | 13–10 | 0.08 | 9% | 5 Nov → | |
| vertigo | 6–13 | -0.00 | 5% | 24 Oct → | |
| anubis | 13–2 | -0.05 | 13% | 15 Oct → | |
| inferno | 5–0 | 0.03 | 9% | 14 Oct → | |
| inferno | 13–4 | 0.13 | 11% | 2 Oct → |
Match data via Leetify.
