Scoobert Doo — CS2 Stats
76561199499548250[U:1:1539282522]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Limited utility dependence
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 88% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Strengths
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Reaction time. 628ms 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 6.8/10 (Solid), 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 | 17 | 13–4 | 76% | 0.08 | |
| A | 16 | 10–6 | 63% | 0.07 | |
| S | 12 | 8–4 | 67% | 0.06 | |
| D | 10 | 3–7 | 30% | -0.00 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.09 | |
| D | 7 | 1–6 | 14% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.07 | |
| S | 6 | 5–1 | 83% | 0.06 | |
| — | 3 | 2–1 | 67% | 0.06 | |
| office | — | 2 | 1–1 | 50% | 0.05 |
| italy | — | 1 | 0–1 | 0% | 0.20 |
| grail | — | 1 | 1–0 | 100% | 0.07 |
| mills | — | 1 | 0–1 | 0% | 0.05 |
| thera | — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.9657 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.00 | 21% | 25 Aug → | ||
| 5–13 | -0.01 | 16% | 25 Aug → | ||
| 9–13 | 0.05 | 17% | 1 Aug → | ||
| 13–11 | 0.04 | 17% | 1 Aug → | ||
| 16–14 | 0.10 | 13% | 1 Aug → | ||
| 13–6 | 0.04 | 14% | 1 Aug → | ||
| 13–10 | 0.11 | 15% | 5 Jul → | ||
| 1–13 | 0.01 | 10% | 5 Jul → | ||
| 13–10 | 0.07 | 24% | 24 Jun → | ||
| 0–3 | -0.09 | 0% | 24 Jun → | ||
| 6–13 | 0.05 | 14% | 23 Jun → | ||
| 13–4 | 0.10 | 12% | 23 Jun → | ||
| 13–4 | 0.11 | 15% | 17 Jun → | ||
| 11–13 | 0.05 | 16% | 17 Jun → | ||
| 13–9 | 0.06 | 22% | 13 Jun → | ||
| 13–5 | 0.16 | 25% | 13 Jun → | ||
| 11–13 | 0.05 | 20% | 13 Jun → | ||
| 13–6 | 0.11 | 25% | 3 Jun → | ||
| 6–13 | -0.01 | 12% | 3 Jun → | ||
| 6–13 | 0.00 | 22% | 3 Jun → | ||
| 16–14 | 0.00 | 17% | 2 Jun → | ||
| italy | 11–13 | 0.20 | 9% | 23 May → | |
| office | 3–13 | 0.01 | 18% | 20 May → | |
| 9–7 | 0.09 | 26% | 20 May → | ||
| 13–9 | 0.03 | 18% | 29 Apr → | ||
| 8–13 | 0.02 | 16% | 29 Apr → | ||
| 13–7 | -0.06 | 15% | 29 Apr → | ||
| 7–13 | 0.02 | 21% | 29 Apr → | ||
| 13–10 | 0.02 | 19% | 26 Apr → | ||
| 13–7 | 0.06 | 15% | 26 Apr → | ||
| 13–11 | -0.02 | 26% | 21 Apr → | ||
| 14–16 | 0.07 | 22% | 21 Apr → | ||
| 5–13 | -0.04 | 20% | 10 Apr → | ||
| 9–13 | 0.07 | 20% | 10 Apr → | ||
| 6–13 | -0.05 | 12% | 8 Apr → | ||
| 13–4 | 0.06 | 20% | 8 Apr → | ||
| 13–7 | 0.04 | 15% | 8 Apr → | ||
| 13–4 | 0.19 | 21% | 6 Apr → | ||
| 13–9 | 0.00 | 11% | 28 Mar → | ||
| 13–5 | 0.06 | 11% | 28 Mar → | ||
| 13–7 | 0.08 | 21% | 28 Mar → | ||
| 13–7 | 0.01 | 25% | 27 Mar → | ||
| 13–5 | 0.10 | 22% | 27 Mar → | ||
| 9–13 | 0.01 | 15% | 27 Mar → | ||
| 8–13 | -0.06 | 10% | 27 Mar → | ||
| office | 13–11 | 0.08 | 31% | 21 Mar → | |
| 13–7 | 0.21 | 15% | 21 Mar → | ||
| 13–8 | 0.01 | 20% | 21 Mar → | ||
| 13–3 | 0.03 | 28% | 12 Mar → | ||
| 13–3 | 0.10 | 21% | 18 Feb → | ||
| 13–8 | 0.02 | 20% | 18 Feb → | ||
| 13–4 | 0.07 | 21% | 6 Feb → | ||
| 13–5 | 0.06 | 21% | 30 Jan → | ||
| 7–13 | -0.06 | 24% | 25 Jan → | ||
| 13–7 | 0.10 | 14% | 25 Jan → | ||
| 15–15 | 0.00 | 26% | 24 Jan → | ||
| 10–3 | 0.01 | 22% | 24 Jan → | ||
| 9–13 | 0.03 | 15% | 24 Jan → | ||
| 8–13 | 0.00 | 24% | 24 Jan → | ||
| 9–13 | 0.06 | 29% | 19 Jan → | ||
| 10–13 | 0.05 | 16% | 18 Jan → | ||
| 13–3 | 0.12 | 19% | 18 Jan → | ||
| 12–12 | 0.09 | 19% | 7 Sept → | ||
| 13–4 | 0.14 | 22% | 10 May → | ||
| grail | 13–5 | 0.07 | 19% | 10 May → | |
| 11–13 | 0.06 | 14% | 12 Aug → | ||
| 13–5 | 0.23 | 24% | 15 Jul → | ||
| mills | 5–13 | 0.05 | 13% | 27 Jun → | |
| thera | 7–13 | -0.00 | 14% | 27 Jun → | |
| 16–12 | 0.03 | 23% | 24 Jun → | ||
| 8–13 | 0.09 | 47% | 3 Jun → | ||
| 13–8 | 0.02 | 13% | 3 Jun → | ||
| 13–10 | 0.12 | 11% | 2 Jun → | ||
| 13–6 | 0.06 | 16% | 2 Jun → | ||
| 4–8 | 0.02 | 60% | 30 May → | ||
| 13–2 | 0.16 | 20% | 29 May → | ||
| 13–6 | 0.20 | 16% | 21 May → | ||
| 2–13 | -0.07 | 20% | 21 May → | ||
| 13–3 | 0.14 | 24% | 21 May → | ||
| 13–6 | 0.22 | 18% | 19 Apr → | ||
| 4–13 | -0.06 | 11% | 15 Apr → | ||
| 15–15 | 0.04 | 47% | 15 Apr → | ||
| 7–13 | 0.03 | 26% | 5 Apr → | ||
| 13–4 | 0.08 | 42% | 30 Mar → | ||
| 13–11 | 0.03 | 27% | 28 Mar → | ||
| 6–13 | 0.07 | 50% | 23 Mar → | ||
| 13–5 | 0.12 | 33% | 23 Mar → | ||
| 9–13 | 0.06 | 12% | 18 Mar → | ||
| 13–8 | 0.13 | 36% | 16 Mar → | ||
| 5–0 | 0.09 | 25% | 16 Mar → | ||
| 6–2 | 0.05 | 24% | 9 Mar → | ||
| 12–12 | -0.03 | 21% | 9 Mar → | ||
| 13–9 | 0.00 | 13% | 9 Mar → | ||
| 11–13 | 0.11 | 33% | 8 Mar → | ||
| 13–8 | 0.15 | 14% | 2 Mar → | ||
| 11–13 | -0.02 | 31% | 21 Feb → | ||
| 10–13 | 0.15 | 16% | 7 Feb → | ||
| 13–7 | 0.05 | 41% | 7 Feb → | ||
| 13–7 | 0.05 | 10% | 2 Feb → | ||
| 11–13 | 0.08 | 24% | 26 Jan → |
Match data via Leetify.