ShadE — CS2 Stats
NL76561198885281630[U:1:925015902]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 | 65.7% | 52.8% |
| Shot accuracy | 16.6% | 13.7% |
| Kill/death ratio | 2.79 | 1.08 |
| Match win rate | 57.9% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 b1t 94% playstyle similarity
Most alike: opening-fight frequency, 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
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.
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 6.7/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 23 | 15–8 | 65% | 0.04 | |
| A | 23 | 14–9 | 61% | 0.06 | |
| D | 15 | 5–10 | 33% | 0.02 | |
| A | 12 | 7–5 | 58% | 0.05 | |
| B | 11 | 5–6 | 45% | 0.06 | |
| S | 9 | 6–3 | 67% | -0.01 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 3 | 0–3 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis 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 | 130 | 48% | 1.52 | 19.9 |
| Inferno | 95 | 56% | 1.50 | 18.9 |
| Nuke | 52 | 46% | 1.54 | 20.0 |
| Overpass | 51 | 57% | 1.61 | 18.2 |
| Anubis | 34 | 50% | 1.44 | 19.9 |
| Vertigo | 25 | 60% | 1.35 | 17.7 |
| Mirage | 14 | 50% | 1.42 | 18.3 |
| Dust2 | 9 | 33% | 1.43 | 16.9 |
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.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.06 | 26% | 26 Aug → | ||
| 13–11 | 0.16 | 26% | 23 Aug → | ||
| 13–3 | 0.14 | 31% | 23 Aug → | ||
| 13–10 | -0.02 | 14% | 23 Aug → | ||
| 4–13 | -0.00 | 21% | 23 Aug → | ||
| 6–13 | -0.03 | 18% | 23 Aug → | ||
| 2–13 | -0.08 | 17% | 23 Aug → | ||
| 1–9 | -0.26 | 33% | 22 Aug → | ||
| 6–9 | -0.07 | 20% | 22 Aug → | ||
| 9–7 | -0.01 | 4% | 22 Aug → | ||
| 4–13 | 0.04 | 23% | 21 Aug → | ||
| 13–4 | 0.18 | 35% | 21 Aug → | ||
| 7–13 | 0.06 | 36% | 21 Aug → | ||
| 17–19 | -0.00 | 16% | 20 Aug → | ||
| 13–9 | 0.02 | 24% | 20 Aug → | ||
| 5–13 | -0.01 | 22% | 20 Aug → | ||
| 4–13 | -0.02 | 26% | 20 Aug → | ||
| 13–7 | 0.03 | 31% | 20 Aug → | ||
| 6–13 | -0.05 | 18% | 19 Aug → | ||
| 8–13 | 0.03 | 23% | 19 Aug → | ||
| 13–9 | 0.05 | 29% | 19 Aug → | ||
| 10–13 | 0.09 | 23% | 18 Aug → | ||
| 9–13 | -0.01 | 17% | 18 Aug → | ||
| 13–11 | 0.03 | 16% | 18 Aug → | ||
| 19–16 | 0.10 | 14% | 18 Aug → | ||
| 13–8 | 0.03 | 24% | 17 Aug → | ||
| 9–13 | -0.01 | 21% | 17 Aug → | ||
| 13–10 | -0.00 | 27% | 17 Aug → | ||
| 13–16 | 0.04 | 23% | 17 Aug → | ||
| 7–13 | 0.02 | 15% | 17 Aug → | ||
| 6–13 | 0.01 | 17% | 17 Aug → | ||
| 17–19 | 0.12 | 19% | 16 Aug → | ||
| 9–13 | 0.10 | 21% | 16 Aug → | ||
| 7–13 | 0.07 | 35% | 14 Aug → | ||
| 13–4 | 0.10 | 23% | 14 Aug → | ||
| 14–16 | 0.01 | 22% | 13 Aug → | ||
| 11–13 | 0.04 | 18% | 13 Aug → | ||
| 6–13 | 0.01 | 31% | 13 Aug → | ||
| 13–3 | 0.15 | 22% | 13 Aug → | ||
| 13–16 | 0.05 | 22% | 12 Aug → | ||
| 11–13 | 0.05 | 19% | 12 Aug → | ||
| 13–9 | 0.02 | 14% | 11 Aug → | ||
| 13–4 | 0.02 | 19% | 11 Aug → | ||
| 6–13 | 0.05 | 25% | 11 Aug → | ||
| 9–13 | 0.07 | 20% | 11 Aug → | ||
| 13–9 | 0.07 | 22% | 9 Aug → | ||
| 13–8 | 0.11 | 23% | 9 Aug → | ||
| 7–0 | 0.04 | 27% | 9 Aug → | ||
| 13–9 | 0.09 | 17% | 8 Aug → | ||
| 13–9 | 0.11 | 16% | 8 Aug → | ||
| 13–10 | 0.10 | 18% | 8 Aug → | ||
| 13–10 | 0.05 | 24% | 8 Aug → | ||
| 13–9 | 0.08 | 30% | 8 Aug → | ||
| 13–8 | 0.04 | 25% | 8 Aug → | ||
| 7–13 | 0.02 | 25% | 7 Aug → | ||
| 3–13 | -0.10 | 15% | 7 Aug → | ||
| 19–17 | -0.04 | 26% | 7 Aug → | ||
| 13–3 | 0.12 | 20% | 7 Aug → | ||
| 13–9 | 0.11 | 28% | 6 Aug → | ||
| 8–13 | 0.10 | 28% | 6 Aug → | ||
| 13–9 | 0.10 | 15% | 6 Aug → | ||
| 13–10 | 0.05 | 10% | 5 Aug → | ||
| 19–16 | -0.01 | 27% | 5 Aug → | ||
| 8–8 | 0.20 | 23% | 5 Aug → | ||
| 9–13 | 0.03 | 20% | 5 Aug → | ||
| 13–11 | -0.02 | 20% | 5 Aug → | ||
| 13–11 | 0.01 | 32% | 4 Aug → | ||
| 13–7 | -0.00 | 32% | 4 Aug → | ||
| 9–13 | -0.04 | 19% | 4 Aug → | ||
| 13–9 | 0.01 | 20% | 4 Aug → | ||
| 0–13 | -0.05 | 0% | 4 Aug → | ||
| 13–7 | 0.04 | 31% | 4 Aug → | ||
| 13–10 | -0.06 | 12% | 3 Aug → | ||
| 7–13 | 0.04 | 16% | 3 Aug → | ||
| 10–13 | 0.07 | 20% | 3 Aug → | ||
| 13–9 | 0.03 | 31% | 3 Aug → | ||
| 6–13 | -0.02 | 14% | 3 Aug → | ||
| 13–2 | 0.04 | 32% | 3 Aug → | ||
| 13–9 | 0.02 | 31% | 3 Aug → | ||
| 13–10 | 0.08 | 25% | 2 Aug → | ||
| 13–6 | 0.08 | 28% | 2 Aug → | ||
| 13–0 | 0.02 | 19% | 2 Aug → | ||
| 6–13 | -0.01 | 33% | 2 Aug → | ||
| 7–13 | 0.07 | 33% | 2 Aug → | ||
| 13–5 | 0.06 | 28% | 2 Aug → | ||
| 13–6 | -0.00 | 28% | 31 Jul → | ||
| 13–7 | -0.00 | 26% | 31 Jul → | ||
| 11–13 | 0.04 | 25% | 31 Jul → | ||
| 13–11 | 0.08 | 18% | 30 Jul → | ||
| 13–4 | 0.09 | 40% | 30 Jul → | ||
| 13–6 | -0.00 | 18% | 30 Jul → | ||
| 13–6 | 0.14 | 26% | 29 Jul → | ||
| 13–5 | 0.18 | 51% | 29 Jul → | ||
| 11–13 | 0.04 | 38% | 28 Jul → | ||
| 9–3 | 0.02 | 24% | 28 Jul → | ||
| 7–13 | 0.02 | 13% | 28 Jul → | ||
| 7–13 | -0.03 | 21% | 25 Jul → | ||
| 13–7 | 0.05 | 15% | 25 Jul → | ||
| 12–12 | 0.14 | 29% | 25 Jul → | ||
| 13–8 | 0.09 | 24% | 25 Jul → |
Match data via Leetify.