Scrookie2k — CS2 Stats
76561198063234298[U:1:102968570]
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 | 65.8% | 52.8% |
| Shot accuracy | 14.1% | 13.7% |
| Kill/death ratio | 1.08 | 1.08 |
| Match win rate | 52.3% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.06 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong 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 s1mple 93% playstyle similarity
Most alike: opening-fight frequency, 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
CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 68% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 556ms 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 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 57 | 45–12 | 79% | 0.05 | |
| boulder | S | 10 | 7–3 | 70% | 0.03 |
| fachwerk | A | 8 | 5–3 | 63% | 0.08 |
| C | 7 | 3–4 | 43% | 0.05 | |
| — | 3 | 1–2 | 33% | -0.04 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 2 | 0–2 | 0% | -0.00 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| debris | — | 1 | 0–1 | 0% | 0.09 |
| — | 1 | 1–0 | 100% | 0.12 | |
| — | 1 | 1–0 | 100% | 0.14 | |
| — | 1 | 0–1 | 0% | -0.02 | |
| office | — | 1 | 1–0 | 100% | 0.02 |
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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 85 | 51% | 1.14 | 16.7 |
| Vertigo | 85 | 75% | 1.31 | 17.9 |
| Inferno | 52 | 37% | 1.15 | 16.9 |
| Mirage | 46 | 48% | 1.19 | 14.6 |
| Anubis | 36 | 53% | 1.02 | 15.9 |
| Overpass | 16 | 69% | 1.27 | 16.9 |
| Nuke | 14 | 36% | 0.80 | 13.7 |
| Dust2 | 5 | 20% | 0.64 | 12.8 |
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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.03 | 33% | 27 Aug → | ||
| 8–13 | -0.05 | 29% | 24 Aug → | ||
| 7–2 | 0.06 | 9% | 24 Aug → | ||
| 12–12 | 0.05 | 25% | 21 Aug → | ||
| 12–12 | 0.12 | 19% | 21 Aug → | ||
| 2–13 | -0.10 | 4% | 20 Aug → | ||
| 13–11 | -0.03 | 22% | 20 Aug → | ||
| 11–13 | -0.04 | 17% | 20 Aug → | ||
| 12–12 | 0.03 | 20% | 20 Aug → | ||
| 4–13 | -0.02 | 26% | 20 Aug → | ||
| 13–2 | 0.11 | 18% | 20 Aug → | ||
| 13–9 | 0.12 | 22% | 20 Aug → | ||
| 13–10 | 0.04 | 31% | 20 Aug → | ||
| 13–7 | 0.08 | 25% | 20 Aug → | ||
| 9–13 | -0.02 | 19% | 19 Aug → | ||
| 8–13 | 0.01 | 37% | 19 Aug → | ||
| 7–1 | 0.15 | 24% | 19 Aug → | ||
| 13–11 | 0.03 | 36% | 19 Aug → | ||
| fachwerk | 13–5 | 0.07 | 35% | 19 Aug → | |
| 13–7 | 0.06 | 27% | 19 Aug → | ||
| debris | 6–9 | 0.09 | 22% | 19 Aug → | |
| 9–13 | -0.03 | 21% | 18 Aug → | ||
| 13–8 | 0.12 | 20% | 18 Aug → | ||
| 13–3 | 0.16 | 28% | 18 Aug → | ||
| 13–5 | 0.01 | 14% | 18 Aug → | ||
| 13–5 | 0.07 | 18% | 18 Aug → | ||
| 13–8 | -0.03 | 14% | 18 Aug → | ||
| 13–4 | 0.07 | 19% | 18 Aug → | ||
| 13–2 | 0.23 | 22% | 18 Aug → | ||
| 13–11 | 0.12 | 24% | 18 Aug → | ||
| 13–6 | 0.04 | 24% | 18 Aug → | ||
| 13–8 | -0.02 | 21% | 18 Aug → | ||
| fachwerk | 9–13 | 0.06 | 28% | 18 Aug → | |
| 13–0 | 0.06 | 38% | 17 Aug → | ||
| 13–7 | 0.05 | 24% | 17 Aug → | ||
| 12–12 | 0.07 | 18% | 17 Aug → | ||
| 13–9 | 0.04 | 29% | 17 Aug → | ||
| 11–13 | -0.06 | 19% | 16 Aug → | ||
| 13–2 | -0.01 | 17% | 16 Aug → | ||
| 12–12 | 0.01 | 20% | 14 Aug → | ||
| 9–0 | 0.14 | 20% | 14 Aug → | ||
| 13–10 | -0.03 | 21% | 14 Aug → | ||
| 9–13 | -0.02 | 20% | 13 Aug → | ||
| 10–13 | 0.01 | 26% | 13 Aug → | ||
| fachwerk | 13–1 | 0.17 | 16% | 13 Aug → | |
| boulder | 13–7 | -0.01 | 25% | 12 Aug → | |
| 13–4 | 0.11 | 35% | 12 Aug → | ||
| boulder | 13–9 | 0.09 | 33% | 12 Aug → | |
| fachwerk | 4–13 | 0.04 | 44% | 12 Aug → | |
| office | 13–5 | 0.02 | 14% | 12 Aug → | |
| fachwerk | 13–9 | 0.15 | 19% | 11 Aug → | |
| 13–10 | 0.11 | 17% | 11 Aug → | ||
| 13–4 | 0.13 | 27% | 11 Aug → | ||
| fachwerk | 10–13 | -0.02 | 30% | 11 Aug → | |
| boulder | 4–3 | -0.05 | 17% | 11 Aug → | |
| fachwerk | 13–9 | 0.02 | 23% | 10 Aug → | |
| boulder | 13–9 | 0.01 | 15% | 10 Aug → | |
| boulder | 11–13 | 0.04 | 21% | 10 Aug → | |
| 13–11 | 0.09 | 20% | 10 Aug → | ||
| boulder | 11–13 | 0.00 | 14% | 10 Aug → | |
| 13–10 | 0.06 | 15% | 9 Aug → | ||
| boulder | 13–5 | -0.05 | 29% | 9 Aug → | |
| 13–6 | 0.03 | 14% | 9 Aug → | ||
| 13–10 | 0.05 | 23% | 7 Aug → | ||
| 13–10 | 0.06 | 28% | 7 Aug → | ||
| 12–12 | -0.01 | 10% | 7 Aug → | ||
| 13–4 | 0.03 | 15% | 7 Aug → | ||
| 13–10 | 0.05 | 14% | 7 Aug → | ||
| 13–7 | 0.08 | 30% | 7 Aug → | ||
| 13–1 | 0.15 | 10% | 7 Aug → | ||
| 13–10 | -0.02 | 15% | 7 Aug → | ||
| boulder | 13–10 | 0.05 | 16% | 7 Aug → | |
| 13–4 | -0.05 | 30% | 7 Aug → | ||
| 6–0 | 0.08 | 40% | 7 Aug → | ||
| 13–9 | 0.03 | 18% | 7 Aug → | ||
| 12–12 | 0.04 | 12% | 6 Aug → | ||
| 4–1 | 0.02 | 8% | 6 Aug → | ||
| 13–10 | -0.00 | 24% | 6 Aug → | ||
| 2–13 | -0.08 | 21% | 6 Aug → | ||
| 13–5 | 0.06 | 21% | 5 Aug → | ||
| 12–12 | 0.07 | 21% | 5 Aug → | ||
| 13–6 | 0.02 | 25% | 5 Aug → | ||
| 13–11 | 0.12 | 30% | 5 Aug → | ||
| boulder | 13–2 | 0.09 | 35% | 5 Aug → | |
| 4–13 | 0.00 | 29% | 5 Aug → | ||
| 13–6 | -0.01 | 24% | 5 Aug → | ||
| 13–3 | 0.04 | 17% | 5 Aug → | ||
| boulder | 12–12 | 0.08 | 11% | 5 Aug → | |
| fachwerk | 13–9 | 0.12 | 24% | 5 Aug → | |
| 11–13 | -0.02 | 29% | 5 Aug → | ||
| 1–3 | -0.10 | 50% | 5 Aug → | ||
| 13–10 | -0.01 | 11% | 4 Aug → | ||
| 9–13 | -0.00 | 13% | 4 Aug → | ||
| 13–4 | 0.09 | 15% | 4 Aug → | ||
| 13–1 | 0.02 | 32% | 4 Aug → | ||
| 13–11 | 0.04 | 14% | 4 Aug → | ||
| 13–10 | 0.04 | 19% | 4 Aug → | ||
| 13–2 | 0.16 | 18% | 4 Aug → | ||
| 10–13 | -0.04 | 18% | 4 Aug → | ||
| 13–3 | 0.00 | 13% | 28 Jul → |
Match data via Leetify.