Hider — CS2 Stats
76561198189319473[U:1:229053745]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 NiKo 81% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 611ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% 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 3.7/10 (Learning), 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 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 | 34 | 17–17 | 50% | -0.01 | |
| D | 33 | 7–26 | 21% | -0.02 | |
| B | 13 | 6–7 | 46% | -0.02 | |
| S | 11 | 8–3 | 73% | -0.02 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.05 | |
| — | 2 | 1–1 | 50% | -0.05 | |
| — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (21% over 33). Start with the 6 essential Dust 2 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 212 | 48% | 1.05 | 14.6 |
| Dust2 | 120 | 48% | 0.97 | 14.1 |
| Inferno | 74 | 51% | 0.96 | 14.6 |
| Nuke | 45 | 62% | 1.05 | 15.1 |
| Ancient | 25 | 44% | 0.86 | 14.0 |
| Overpass | 19 | 53% | 1.18 | 15.4 |
| Anubis | 11 | 64% | 0.98 | 15.1 |
| Train | 7 | 29% | 0.77 | 12.7 |
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.
- 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 30.9995% — 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.
21% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.01 | 35% | 17 Jun → | ||
| 8–13 | -0.02 | 27% | 10 Jun → | ||
| 13–7 | -0.03 | 18% | 22 May → | ||
| 13–10 | -0.01 | 11% | 22 May → | ||
| 10–13 | -0.01 | 14% | 20 May → | ||
| 5–13 | 0.04 | 16% | 20 May → | ||
| 3–13 | -0.05 | 3% | 17 May → | ||
| 1–10 | -0.11 | 50% | 16 May → | ||
| 13–4 | -0.01 | 16% | 15 May → | ||
| 16–13 | 0.02 | 14% | 14 May → | ||
| 13–6 | -0.00 | 9% | 12 May → | ||
| 13–7 | 0.03 | 17% | 11 May → | ||
| 8–13 | -0.07 | 24% | 10 May → | ||
| 4–13 | -0.04 | 28% | 9 May → | ||
| 7–13 | -0.04 | 18% | 7 May → | ||
| 13–4 | 0.01 | 21% | 6 May → | ||
| 12–12 | 0.01 | 10% | 1 May → | ||
| 11–13 | -0.01 | 19% | 26 Apr → | ||
| 13–9 | -0.07 | 11% | 25 Apr → | ||
| 4–13 | -0.07 | 13% | 25 Apr → | ||
| 10–13 | -0.03 | 9% | 24 Apr → | ||
| 13–8 | -0.01 | 11% | 24 Apr → | ||
| 13–8 | 0.02 | 9% | 22 Apr → | ||
| 6–13 | -0.03 | 17% | 20 Apr → | ||
| 5–13 | -0.05 | 21% | 19 Apr → | ||
| 11–13 | -0.03 | 7% | 15 Apr → | ||
| 13–10 | -0.03 | 14% | 12 Apr → | ||
| 5–13 | 0.04 | 22% | 12 Apr → | ||
| 4–13 | -0.05 | 16% | 12 Apr → | ||
| 13–9 | -0.00 | 22% | 12 Apr → | ||
| 10–13 | -0.05 | 20% | 11 Apr → | ||
| 13–2 | 0.00 | 23% | 11 Apr → | ||
| 13–5 | -0.04 | 20% | 11 Apr → | ||
| 10–13 | -0.01 | 26% | 11 Apr → | ||
| 2–13 | -0.10 | 8% | 10 Apr → | ||
| 13–10 | -0.05 | 23% | 10 Apr → | ||
| 0–5 | -0.11 | 100% | 10 Apr → | ||
| 9–13 | -0.06 | 20% | 9 Apr → | ||
| 13–5 | -0.06 | 7% | 9 Apr → | ||
| 9–13 | -0.05 | 17% | 9 Apr → | ||
| 14–16 | -0.01 | 21% | 4 Apr → | ||
| 13–11 | -0.01 | 15% | 3 Apr → | ||
| 1–13 | -0.09 | 39% | 31 Mar → | ||
| 1–11 | -0.10 | 57% | 29 Mar → | ||
| 7–13 | -0.06 | 10% | 28 Mar → | ||
| 8–13 | -0.06 | 17% | 25 Mar → | ||
| 13–4 | -0.07 | 15% | 24 Mar → | ||
| 9–13 | -0.06 | 14% | 23 Mar → | ||
| 13–11 | 0.02 | 17% | 21 Mar → | ||
| 13–9 | -0.04 | 16% | 20 Mar → | ||
| 6–13 | -0.03 | 20% | 20 Mar → | ||
| 13–1 | -0.01 | 27% | 20 Mar → | ||
| 8–13 | 0.00 | 25% | 19 Mar → | ||
| 8–13 | -0.02 | 20% | 17 Mar → | ||
| 13–9 | -0.07 | 18% | 17 Mar → | ||
| 13–11 | -0.02 | 10% | 17 Mar → | ||
| 7–13 | -0.05 | 16% | 16 Mar → | ||
| 14–16 | -0.01 | 31% | 15 Mar → | ||
| 13–9 | -0.00 | 23% | 15 Mar → | ||
| 13–11 | -0.01 | 21% | 14 Mar → | ||
| 16–13 | 0.02 | 17% | 14 Mar → | ||
| 13–10 | 0.06 | 21% | 12 Mar → | ||
| 13–8 | -0.01 | 23% | 10 Mar → | ||
| 13–9 | 0.04 | 19% | 22 Feb → | ||
| 10–13 | -0.05 | 16% | 12 Feb → | ||
| 13–3 | 0.03 | 19% | 11 Feb → | ||
| 7–13 | -0.11 | 12% | 8 Feb → | ||
| 1–13 | -0.09 | 10% | 25 Jan → | ||
| 13–1 | 0.00 | 20% | 20 Jan → | ||
| 13–6 | -0.00 | 28% | 18 Jan → | ||
| 9–13 | 0.01 | 15% | 17 Jan → | ||
| 7–13 | 0.03 | 18% | 17 Jan → | ||
| 13–5 | -0.06 | 11% | 16 Jan → | ||
| 5–13 | -0.05 | 7% | 16 Jan → | ||
| 12–12 | 0.05 | 15% | 16 Jan → | ||
| 13–7 | 0.08 | 18% | 16 Jan → | ||
| 12–12 | 0.05 | 24% | 16 Jan → | ||
| 8–13 | 0.05 | 16% | 14 Jan → | ||
| 10–13 | 0.02 | 16% | 14 Jan → | ||
| 8–13 | 0.09 | 20% | 11 Jan → | ||
| 8–1 | 0.09 | 55% | 11 Jan → | ||
| 3–13 | 0.06 | 15% | 11 Jan → | ||
| 4–2 | -0.01 | 11% | 11 Jan → | ||
| 6–13 | -0.06 | 17% | 11 Jan → | ||
| 9–13 | 0.06 | 24% | 11 Jan → | ||
| 11–13 | 0.01 | 22% | 9 Jan → | ||
| 3–13 | -0.10 | 35% | 8 Jan → | ||
| 13–2 | -0.00 | 16% | 7 Jan → | ||
| 11–13 | -0.07 | 9% | 4 Jan → | ||
| 13–10 | -0.03 | 12% | 4 Jan → | ||
| 13–10 | -0.03 | 17% | 2 Jan → | ||
| 13–11 | 0.04 | 20% | 1 Jan → | ||
| 7–13 | -0.01 | 17% | 1 Jan → | ||
| 9–13 | -0.04 | 26% | 31 Dec → | ||
| 13–8 | 0.01 | 21% | 27 Dec → | ||
| 9–13 | -0.07 | 17% | 24 Dec → | ||
| 5–13 | -0.01 | 32% | 21 Dec → | ||
| 5–13 | -0.04 | 12% | 17 Dec → | ||
| 9–13 | -0.03 | 7% | 5 Dec → | ||
| 13–3 | 0.00 | 21% | 3 Dec → |
Match data via Leetify.