Preemh — CS2 Stats
DE76561198249735452[U:1:289469724]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 55.6% | 52.8% |
| Shot accuracy | 13.3% | 13.7% |
| Kill/death ratio | 1.24 | 1.08 |
| Match win rate | 55.1% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective flashes
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 ZywOo 96% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: higher opening-duel success.
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 93 — the mechanical foundation is a clear strength.
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.78 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 64% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.
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 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| B | 28 | 15–13 | 54% | 0.01 | |
| A | 18 | 10–8 | 56% | 0.02 | |
| C | 17 | 7–10 | 41% | 0.02 | |
| C | 13 | 5–8 | 38% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| — | 4 | 3–1 | 75% | 0.09 | |
| — | 4 | 3–1 | 75% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Mirage 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 482 | 60% | 1.26 | 18.1 |
| Anubis | 254 | 55% | 1.24 | 18.2 |
| Mirage | 249 | 49% | 1.23 | 18.3 |
| Dust2 | 242 | 54% | 1.20 | 17.7 |
| Inferno | 136 | 51% | 1.20 | 17.2 |
| Nuke | 126 | 52% | 1.29 | 18.2 |
| Overpass | 113 | 68% | 1.35 | 18.3 |
| Vertigo | 65 | 63% | 1.33 | 19.5 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.05 | 29% | 27 Aug → | ||
| 11–13 | 0.15 | 22% | 27 Aug → | ||
| 6–13 | 0.00 | 23% | 25 Aug → | ||
| 5–13 | 0.02 | 25% | 25 Aug → | ||
| 13–6 | 0.12 | 23% | 25 Aug → | ||
| 13–7 | -0.03 | 13% | 24 Aug → | ||
| 11–0 | 0.03 | 15% | 24 Aug → | ||
| 13–6 | -0.07 | 7% | 24 Aug → | ||
| 13–6 | 0.05 | 17% | 23 Aug → | ||
| 13–11 | 0.06 | 24% | 23 Aug → | ||
| 8–13 | 0.01 | 19% | 22 Aug → | ||
| 13–9 | 0.01 | 20% | 21 Aug → | ||
| 13–6 | 0.12 | 12% | 21 Aug → | ||
| 19–16 | 0.01 | 18% | 21 Aug → | ||
| 13–11 | 0.10 | 21% | 19 Aug → | ||
| 13–11 | 0.08 | 22% | 19 Aug → | ||
| 13–9 | -0.02 | 16% | 19 Aug → | ||
| 13–16 | 0.02 | 14% | 18 Aug → | ||
| 6–13 | -0.03 | 16% | 17 Aug → | ||
| 11–13 | -0.00 | 24% | 17 Aug → | ||
| 13–10 | -0.00 | 18% | 17 Aug → | ||
| 7–13 | -0.06 | 22% | 16 Aug → | ||
| 13–8 | -0.01 | 17% | 16 Aug → | ||
| 14–16 | 0.03 | 17% | 15 Aug → | ||
| 16–14 | 0.02 | 16% | 14 Aug → | ||
| 10–13 | -0.08 | 15% | 14 Aug → | ||
| 7–13 | 0.02 | 24% | 14 Aug → | ||
| 13–4 | 0.18 | 19% | 14 Aug → | ||
| 8–13 | 0.09 | 23% | 1 Aug → | ||
| 9–13 | 0.02 | 22% | 23 Jul → | ||
| 10–13 | 0.08 | 33% | 18 Jul → | ||
| 2–13 | -0.02 | 11% | 16 Jul → | ||
| 9–13 | -0.04 | 28% | 14 Jul → | ||
| 7–13 | -0.01 | 11% | 10 Jul → | ||
| 6–13 | -0.04 | 15% | 10 Jul → | ||
| 13–10 | 0.15 | 27% | 5 Jul → | ||
| 13–11 | 0.04 | 21% | 4 Jul → | ||
| 10–13 | -0.03 | 16% | 2 Jul → | ||
| 13–8 | 0.07 | 21% | 2 Jul → | ||
| 10–13 | 0.00 | 21% | 26 Jun → | ||
| 11–13 | 0.00 | 15% | 26 Jun → | ||
| 13–8 | 0.00 | 19% | 26 Jun → | ||
| 16–19 | -0.06 | 20% | 25 Jun → | ||
| 7–13 | 0.00 | 14% | 25 Jun → | ||
| 13–10 | 0.02 | 14% | 21 Jun → | ||
| 5–13 | -0.02 | 27% | 21 Jun → | ||
| 3–13 | -0.00 | 25% | 21 Jun → | ||
| 22–19 | 0.01 | 14% | 21 Jun → | ||
| 13–7 | 0.00 | 23% | 21 Jun → | ||
| 11–13 | -0.02 | 19% | 20 Jun → | ||
| 10–13 | -0.06 | 20% | 19 Jun → | ||
| 10–13 | 0.02 | 12% | 19 Jun → | ||
| 13–7 | 0.02 | 22% | 18 Jun → | ||
| 13–11 | 0.01 | 30% | 17 Jun → | ||
| 13–6 | 0.09 | 18% | 17 Jun → | ||
| 13–10 | 0.01 | 21% | 17 Jun → | ||
| 7–13 | -0.06 | 12% | 16 Jun → | ||
| 14–16 | -0.02 | 23% | 16 Jun → | ||
| 13–7 | -0.00 | 21% | 15 Jun → | ||
| 13–2 | 0.05 | 14% | 15 Jun → | ||
| 7–13 | 0.02 | 19% | 14 Jun → | ||
| 13–8 | -0.02 | 22% | 14 Jun → | ||
| 28–31 | 0.01 | 24% | 10 Jun → | ||
| 13–10 | 0.02 | 21% | 10 Jun → | ||
| 13–3 | 0.02 | 21% | 10 Jun → | ||
| 13–11 | -0.03 | 13% | 7 Jun → | ||
| 6–13 | -0.04 | 15% | 6 Jun → | ||
| 8–13 | 0.02 | 10% | 6 Jun → | ||
| 10–13 | 0.05 | 25% | 5 Jun → | ||
| 8–13 | 0.01 | 20% | 5 Jun → | ||
| 11–13 | 0.06 | 23% | 4 Jun → | ||
| 7–13 | 0.01 | 11% | 30 May → | ||
| 13–16 | -0.00 | 20% | 30 May → | ||
| 13–10 | 0.02 | 25% | 29 May → | ||
| 13–6 | -0.06 | 14% | 26 May → | ||
| 13–8 | 0.05 | 31% | 26 May → | ||
| 13–11 | 0.09 | 22% | 16 May → | ||
| 13–10 | 0.03 | 13% | 26 Apr → | ||
| 16–14 | 0.02 | 24% | 26 Apr → | ||
| 13–3 | -0.04 | 14% | 24 Apr → | ||
| 20–22 | -0.02 | 19% | 24 Apr → | ||
| 13–11 | -0.03 | 16% | 24 Apr → | ||
| 13–10 | 0.03 | 21% | 18 Apr → | ||
| 13–10 | 0.01 | 18% | 13 Apr → | ||
| 2–13 | -0.04 | 25% | 11 Apr → | ||
| 11–13 | -0.01 | 24% | 11 Apr → | ||
| 13–6 | -0.01 | 9% | 2 Apr → | ||
| 13–10 | 0.06 | 18% | 31 Mar → | ||
| 4–13 | -0.01 | 12% | 28 Mar → | ||
| 13–7 | 0.02 | 17% | 25 Mar → | ||
| 13–9 | -0.01 | 13% | 23 Mar → | ||
| 13–7 | 0.16 | 24% | 21 Mar → | ||
| 11–13 | -0.05 | 26% | 20 Mar → | ||
| 11–13 | 0.01 | 16% | 14 Mar → | ||
| 3–13 | 0.03 | 20% | 13 Mar → | ||
| 13–6 | 0.12 | 23% | 11 Mar → | ||
| 13–3 | 0.05 | 16% | 11 Mar → | ||
| 7–13 | 0.01 | 16% | 8 Mar → | ||
| 13–10 | 0.03 | 19% | 8 Mar → | ||
| 13–9 | 0.06 | 34% | 7 Mar → |
Match data via Leetify.