Scooby — CS2 Stats
76561197987611309[U:1:27345581]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 35.0% | 42.5% | 44.2% | 9.2% short |
| Shot accuracy | 13.2% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.17 | 0.99 | 1.04 | above |
| Match win rate | 42.5% | 44.2% | 45.3% | 2.8% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.00 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 78% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 579ms 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 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 cache | C | 19 | 7–12 | 37% | 0.02 |
 dust2 | A | 16 | 10–6 | 63% | 0.01 |
 mirage | B | 15 | 7–8 | 47% | -0.01 |
 inferno | D | 12 | 4–8 | 33% | -0.01 |
 nuke | B | 11 | 5–6 | 45% | -0.02 |
 ancient | B | 8 | 4–4 | 50% | -0.01 |
 overpass | B | 6 | 3–3 | 50% | -0.02 |
 vertigo | A | 5 | 3–2 | 60% | 0.02 |
 anubis | A | 5 | 3–2 | 60% | -0.00 |
 train | — | 3 | 1–2 | 33% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno 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 resultsLLLLW
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3221% — below the 15% mark we flag
- 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 0.1228 — 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 34.5098% — 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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 0–13 | -0.11 | 17% | 11 Aug → | |
| vertigo | 13–11 | -0.02 | 13% | 11 Aug → | |
| inferno | 9–13 | -0.01 | 8% | 11 Aug → | |
| overpass | 3–13 | -0.02 | 15% | 6 Aug → | |
| dust2 | 13–6 | 0.04 | 13% | 6 Aug → | |
| dust2 | 10–13 | 0.01 | 15% | 31 Jul → | |
| train | 11–13 | -0.02 | 9% | 31 Jul → | |
| cache | 12–12 | 0.02 | 14% | 30 Jul → | |
| mirage | 4–13 | -0.03 | 12% | 30 Jul → | |
| ancient | 13–3 | -0.01 | 23% | 30 Jul → | |
| dust2 | 13–9 | 0.02 | 13% | 30 Jul → | |
| vertigo | 13–5 | -0.00 | 11% | 30 Jul → | |
| nuke | 13–11 | -0.05 | 12% | 29 Jul → | |
| nuke | 13–11 | -0.06 | 17% | 28 Jul → | |
| anubis | 10–13 | -0.06 | 22% | 28 Jul → | |
| cache | 9–13 | 0.04 | 7% | 24 Jul → | |
| inferno | 13–5 | 0.00 | 6% | 24 Jul → | |
| dust2 | 3–1 | -0.05 | 0% | 24 Jul → | |
| mirage | 9–13 | -0.02 | 14% | 23 Jul → | |
| dust2 | 12–12 | 0.00 | 29% | 23 Jul → | |
| inferno | 13–8 | -0.03 | 17% | 23 Jul → | |
| cache | 13–7 | 0.12 | 16% | 22 Jul → | |
| nuke | 12–12 | -0.02 | 15% | 22 Jul → | |
| dust2 | 13–4 | 0.12 | 9% | 22 Jul → | |
| ancient | 13–6 | 0.00 | 12% | 22 Jul → | |
| overpass | 13–5 | 0.02 | 12% | 21 Jul → | |
| mirage | 13–10 | -0.03 | 8% | 21 Jul → | |
| dust2 | 13–4 | -0.01 | 23% | 21 Jul → | |
| mirage | 13–11 | -0.06 | 22% | 20 Jul → | |
| inferno | 11–13 | 0.04 | 16% | 16 Jul → | |
| mirage | 13–0 | 0.07 | 3% | 16 Jul → | |
| ancient | 9–13 | 0.00 | 19% | 16 Jul → | |
| mirage | 6–13 | -0.02 | 10% | 16 Jul → | |
| nuke | 13–7 | 0.04 | 6% | 16 Jul → | |
| cache | 10–13 | -0.02 | 7% | 10 Jul → | |
| nuke | 10–13 | -0.02 | 24% | 10 Jul → | |
| dust2 | 8–13 | 0.01 | 14% | 10 Jul → | |
| anubis | 10–2 | 0.05 | 21% | 9 Jul → | |
| ancient | 12–12 | -0.01 | 9% | 9 Jul → | |
| mirage | 4–13 | -0.02 | 19% | 8 Jul → | |
| cache | 5–13 | -0.00 | 16% | 8 Jul → | |
| mirage | 13–8 | -0.02 | 9% | 8 Jul → | |
| dust2 | 13–5 | -0.04 | 16% | 8 Jul → | |
| inferno | 6–13 | -0.01 | 11% | 7 Jul → | |
| cache | 10–13 | -0.02 | 10% | 5 Jul → | |
| train | 13–10 | -0.05 | 12% | 5 Jul → | |
| inferno | 4–13 | -0.08 | 17% | 2 Jul → | |
| mirage | 13–7 | 0.08 | 17% | 2 Jul → | |
| ancient | 10–13 | -0.02 | 11% | 1 Jul → | |
| cache | 9–0 | 0.07 | 6% | 1 Jul → | |
| mirage | 10–13 | -0.00 | 14% | 30 Jun → | |
| nuke | 12–12 | 0.00 | 16% | 30 Jun → | |
| anubis | 13–1 | 0.07 | 9% | 30 Jun → | |
| inferno | 12–12 | -0.03 | 18% | 25 Jun → | |
| dust2 | 13–9 | -0.02 | 9% | 25 Jun → | |
| cache | 5–13 | -0.02 | 7% | 18 Jun → | |
| anubis | 13–3 | -0.02 | 9% | 18 Jun → | |
| inferno | 7–13 | -0.02 | 19% | 18 Jun → | |
| dust2 | 13–0 | 0.04 | 5% | 18 Jun → | |
| vertigo | 7–13 | -0.02 | 9% | 11 Jun → | |
| cache | 13–4 | 0.03 | 10% | 11 Jun → | |
| ancient | 13–8 | 0.01 | 11% | 11 Jun → | |
| inferno | 13–5 | 0.15 | 20% | 11 Jun → | |
| mirage | 11–13 | -0.05 | 10% | 10 Jun → | |
| nuke | 13–10 | 0.02 | 15% | 10 Jun → | |
| overpass | 10–13 | -0.04 | 13% | 10 Jun → | |
| mirage | 11–13 | -0.06 | 9% | 23 May → | |
| cache | 9–13 | 0.03 | 16% | 23 May → | |
| nuke | 11–13 | 0.09 | 12% | 22 May → | |
| cache | 12–12 | -0.04 | 6% | 22 May → | |
| mirage | 9–13 | -0.08 | 11% | 22 May → | |
| ancient | 9–13 | -0.04 | 16% | 22 May → | |
| cache | 13–10 | -0.07 | 8% | 22 May → | |
| dust2 | 13–6 | 0.05 | 12% | 22 May → | |
| inferno | 10–13 | -0.05 | 6% | 21 May → | |
| cache | 8–13 | 0.05 | 15% | 15 May → | |
| dust2 | 11–13 | -0.01 | 11% | 15 May → | |
| dust2 | 12–12 | -0.00 | 20% | 13 May → | |
| nuke | 13–8 | -0.02 | 22% | 13 May → | |
| cache | 13–2 | 0.06 | 23% | 12 May → | |
| mirage | 13–5 | 0.05 | 10% | 12 May → | |
| inferno | 13–9 | -0.03 | 14% | 12 May → | |
| dust2 | 13–5 | 0.01 | 13% | 8 May → | |
| cache | 11–13 | -0.01 | 16% | 7 May → | |
| nuke | 4–13 | -0.05 | 11% | 7 May → | |
| overpass | 10–1 | -0.02 | 25% | 7 May → | |
| cache | 13–11 | -0.01 | 10% | 7 May → | |
| cache | 11–13 | -0.02 | 15% | 30 Apr → | |
| cache | 13–3 | 0.05 | 5% | 30 Apr → | |
| cache | 11–13 | 0.03 | 19% | 30 Apr → | |
| vertigo | 12–12 | 0.07 | 14% | 23 Apr → | |
| mirage | 13–3 | 0.04 | 19% | 23 Apr → | |
| train | 10–13 | -0.01 | 7% | 23 Apr → | |
| ancient | 13–10 | -0.01 | 5% | 23 Apr → | |
| dust2 | 4–13 | -0.08 | 4% | 23 Apr → | |
| vertigo | 13–5 | 0.09 | 11% | 19 Mar → | |
| inferno | 8–13 | -0.07 | 12% | 12 Mar → | |
| anubis | 6–13 | -0.06 | 13% | 12 Mar → | |
| overpass | 6–13 | -0.00 | 10% | 12 Mar → | |
| overpass | 13–3 | -0.05 | 9% | 6 Mar → |
Match data via Leetify.