Prostitutes in the Harem — CS2 Stats
76561198261267948[U:1:301002220]Steam profile ↗
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 53.4% | 44.2% | 44.9% | above |
| Shot accuracy | 16.6% | 11.2% | 11.8% | above |
| Kill/death ratio | 1.31 | 1.04 | 1.04 | above |
| Match win rate | 49.7% | 45.3% | 45.3% | above |
Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerReliable in 1v1s
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 sh1ro 95% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: 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
Strengths
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 575ms 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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | A | 43 | 24–19 | 56% | 0.06 |
 dust2 | C | 18 | 7–11 | 39% | 0.04 |
 mirage | A | 16 | 10–6 | 63% | 0.04 |
 cache | D | 6 | 2–4 | 33% | 0.03 |
 nuke | B | 6 | 3–3 | 50% | 0.05 |
 inferno | — | 4 | 2–2 | 50% | 0.06 |
 vertigo | — | 3 | 0–3 | 0% | 0.03 |
 ancient | — | 2 | 2–0 | 100% | 0.02 |
 train | — | 1 | 0–1 | 0% | 0.01 |
 overpass | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1 | 0% | 0.86 | 12.0 |
| Dust2 | 1 | 100% | 3.80 | 19.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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.
- 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 0.4263 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 38.2043% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 9–13 | 0.03 | 38% | 28 Aug → | |
| office | 13–6 | 0.16 | 49% | 28 Aug → | |
| vertigo | 8–13 | -0.00 | 21% | 16 Aug → | |
| office | 13–9 | -0.02 | 18% | 16 Aug → | |
| office | 1–6 | 0.02 | 13% | 16 Aug → | |
| office | 13–5 | -0.02 | 24% | 15 Aug → | |
| office | 13–11 | 0.04 | 30% | 15 Aug → | |
| office | 13–10 | 0.10 | 32% | 28 Jun → | |
| office | 13–6 | 0.08 | 37% | 28 Jun → | |
| office | 8–13 | 0.11 | 36% | 13 Jun → | |
| office | 7–5 | 0.06 | 43% | 13 Jun → | |
| office | 13–8 | 0.05 | 40% | 9 Jun → | |
| office | 13–10 | 0.13 | 53% | 9 Jun → | |
| office | 13–10 | -0.02 | 39% | 2 Jun → | |
| office | 13–11 | -0.06 | 44% | 2 Jun → | |
| ancient | 13–9 | 0.03 | 19% | 1 Jun → | |
| cache | 6–13 | -0.01 | 32% | 21 May → | |
| nuke | 13–8 | 0.02 | 20% | 21 May → | |
| office | 13–7 | 0.06 | 33% | 20 May → | |
| office | 2–13 | 0.01 | 20% | 20 May → | |
| office | 13–9 | 0.05 | 34% | 19 May → | |
| office | 6–13 | -0.00 | 39% | 12 May → | |
| cache | 13–7 | 0.09 | 29% | 12 May → | |
| mirage | 12–12 | 0.00 | 22% | 12 May → | |
| cache | 5–6 | 0.06 | 38% | 1 May → | |
| office | 11–13 | -0.01 | 38% | 1 May → | |
| cache | 1–13 | -0.09 | 18% | 1 May → | |
| cache | 13–11 | 0.08 | 36% | 1 May → | |
| cache | 12–12 | 0.05 | 35% | 1 May → | |
| office | 13–3 | 0.17 | 32% | 21 Apr → | |
| dust2 | 13–11 | 0.02 | 39% | 21 Apr → | |
| dust2 | 7–13 | -0.02 | 36% | 21 Apr → | |
| nuke | 7–13 | -0.04 | 35% | 21 Apr → | |
| inferno | 9–13 | -0.01 | 17% | 20 Apr → | |
| dust2 | 11–13 | -0.00 | 31% | 20 Apr → | |
| office | 12–12 | 0.11 | 50% | 20 Apr → | |
| dust2 | 13–2 | 0.07 | 50% | 20 Apr → | |
| dust2 | 6–13 | -0.02 | 27% | 19 Apr → | |
| mirage | 13–7 | 0.02 | 30% | 19 Apr → | |
| mirage | 12–12 | 0.10 | 23% | 16 Apr → | |
| office | 13–6 | 0.08 | 44% | 15 Apr → | |
| dust2 | 13–3 | 0.14 | 30% | 9 Apr → | |
| office | 13–6 | -0.00 | 34% | 8 Apr → | |
| dust2 | 6–13 | 0.01 | 35% | 8 Apr → | |
| mirage | 13–3 | 0.06 | 37% | 8 Apr → | |
| mirage | 13–7 | 0.06 | 39% | 8 Apr → | |
| mirage | 13–5 | 0.04 | 22% | 6 Apr → | |
| mirage | 13–11 | 0.06 | 32% | 1 Apr → | |
| dust2 | 9–13 | 0.11 | 54% | 1 Apr → | |
| office | 10–13 | 0.01 | 37% | 1 Apr → | |
| nuke | 13–5 | 0.15 | 25% | 1 Apr → | |
| train | 6–13 | 0.01 | 50% | 1 Apr → | |
| vertigo | 10–13 | 0.01 | 38% | 1 Apr → | |
| office | 13–9 | 0.04 | 45% | 1 Apr → | |
| dust2 | 13–8 | -0.02 | 21% | 1 Apr → | |
| mirage | 13–10 | 0.13 | 43% | 31 Mar → | |
| mirage | 13–5 | 0.05 | 25% | 31 Mar → | |
| nuke | 3–13 | -0.00 | 48% | 29 Mar → | |
| dust2 | 8–13 | 0.02 | 17% | 29 Mar → | |
| office | 13–7 | 0.16 | 34% | 26 Mar → | |
| dust2 | 8–13 | 0.02 | 27% | 23 Mar → | |
| dust2 | 14–16 | -0.04 | 27% | 23 Mar → | |
| office | 9–13 | -0.04 | 48% | 22 Mar → | |
| office | 12–12 | 0.07 | 41% | 22 Mar → | |
| office | 4–13 | 0.03 | 47% | 22 Mar → | |
| dust2 | 10–13 | 0.07 | 25% | 21 Mar → | |
| office | 13–9 | 0.05 | 52% | 20 Mar → | |
| office | 12–12 | 0.05 | 46% | 20 Mar → | |
| office | 13–6 | 0.14 | 39% | 20 Mar → | |
| office | 6–13 | 0.08 | 40% | 20 Mar → | |
| office | 13–10 | 0.16 | 55% | 20 Mar → | |
| office | 13–9 | 0.07 | 49% | 20 Mar → | |
| mirage | 7–5 | -0.01 | 32% | 15 Mar → | |
| dust2 | 13–4 | 0.13 | 50% | 13 Mar → | |
| inferno | 5–13 | 0.09 | 37% | 13 Mar → | |
| office | 7–13 | 0.10 | 30% | 13 Mar → | |
| office | 7–1 | 0.05 | 27% | 13 Mar → | |
| office | 0–5 | 0.01 | 57% | 13 Mar → | |
| mirage | 15–15 | 0.04 | 22% | 13 Mar → | |
| inferno | 13–10 | 0.05 | 34% | 13 Mar → | |
| office | 12–12 | 0.10 | 24% | 11 Mar → | |
| mirage | 5–13 | -0.02 | 9% | 10 Mar → | |
| nuke | 13–7 | 0.19 | 41% | 10 Mar → | |
| ancient | 13–9 | 0.00 | 20% | 10 Mar → | |
| mirage | 13–10 | 0.03 | 35% | 10 Mar → | |
| mirage | 13–16 | -0.00 | 24% | 10 Mar → | |
| mirage | 11–13 | 0.00 | 46% | 9 Mar → | |
| vertigo | 12–12 | 0.07 | 29% | 9 Mar → | |
| office | 12–12 | 0.01 | 35% | 9 Mar → | |
| dust2 | 13–8 | 0.13 | 24% | 9 Mar → | |
| dust2 | 13–6 | 0.02 | 25% | 9 Mar → | |
| inferno | 13–9 | 0.10 | 38% | 9 Mar → | |
| overpass | 11–13 | 0.00 | 19% | 8 Mar → | |
| mirage | 13–7 | 0.02 | 18% | 8 Mar → | |
| dust2 | 10–13 | 0.08 | 32% | 7 Mar → | |
| dust2 | 6–13 | 0.05 | 50% | 7 Mar → | |
| office | 5–13 | -0.02 | 34% | 7 Mar → | |
| office | 13–6 | 0.12 | 29% | 6 Mar → | |
| office | 4–13 | 0.08 | 35% | 6 Mar → | |
| nuke | 8–13 | -0.00 | 26% | 5 Mar → |
Match data via Leetify.