david — CS2 Stats
76561198091128519[U:1:130862791]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 device 90% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
Strengths
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 63% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 550ms 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 6.5/10 (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 |
|---|---|---|---|---|---|
| B | 27 | 13–14 | 48% | 0.03 | |
| S | 21 | 14–7 | 67% | 0.03 | |
| B | 11 | 5–6 | 45% | 0.02 | |
| D | 9 | 3–6 | 33% | -0.00 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| D | 6 | 2–4 | 33% | 0.02 | |
| A | 5 | 3–2 | 60% | -0.00 | |
| — | 3 | 0–3 | 0% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 9). 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.
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.468 — 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 38.5264% — 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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.07 | 20% | 24 Aug → | ||
| 10–13 | -0.01 | 18% | 24 Aug → | ||
| 8–13 | 0.01 | 20% | 18 Aug → | ||
| 13–7 | 0.23 | 22% | 18 Aug → | ||
| 10–13 | 0.13 | 20% | 17 Aug → | ||
| 13–6 | 0.11 | 24% | 17 Aug → | ||
| 7–13 | 0.02 | 21% | 16 Aug → | ||
| 10–13 | -0.01 | 17% | 16 Aug → | ||
| 7–13 | -0.07 | 23% | 15 Aug → | ||
| 12–12 | 0.02 | 12% | 15 Aug → | ||
| 13–9 | 0.10 | 20% | 14 Aug → | ||
| 3–13 | -0.02 | 20% | 11 Aug → | ||
| 16–14 | 0.01 | 19% | 11 Aug → | ||
| 13–10 | 0.05 | 35% | 10 Aug → | ||
| 10–13 | -0.05 | 19% | 9 Aug → | ||
| 13–7 | -0.02 | 15% | 9 Aug → | ||
| 13–10 | -0.01 | 17% | 8 Aug → | ||
| 13–9 | 0.03 | 21% | 28 Jul → | ||
| 13–7 | 0.12 | 21% | 26 Jul → | ||
| 7–13 | 0.03 | 21% | 19 Jul → | ||
| 13–11 | 0.02 | 15% | 27 May → | ||
| 15–15 | 0.06 | 20% | 13 May → | ||
| 4–13 | -0.07 | 33% | 13 May → | ||
| 11–13 | -0.00 | 25% | 28 Apr → | ||
| 13–9 | -0.06 | 22% | 27 Apr → | ||
| 13–5 | 0.08 | 27% | 27 Apr → | ||
| 5–13 | -0.02 | 10% | 27 Apr → | ||
| 13–7 | 0.06 | 26% | 26 Apr → | ||
| 10–13 | 0.05 | 25% | 25 Apr → | ||
| 13–9 | -0.00 | 20% | 25 Apr → | ||
| 13–3 | 0.02 | 26% | 22 Apr → | ||
| 15–15 | 0.08 | 21% | 21 Apr → | ||
| 7–13 | 0.01 | 15% | 21 Apr → | ||
| 16–12 | 0.02 | 16% | 21 Apr → | ||
| 13–9 | 0.02 | 25% | 13 Apr → | ||
| 13–9 | -0.04 | 6% | 10 Apr → | ||
| 1–13 | -0.06 | 27% | 7 Apr → | ||
| 5–13 | -0.03 | 22% | 7 Apr → | ||
| 12–12 | 0.02 | 24% | 7 Apr → | ||
| 13–10 | 0.04 | 31% | 2 Apr → | ||
| 3–13 | 0.00 | 27% | 2 Apr → | ||
| 13–10 | 0.06 | 25% | 30 Mar → | ||
| 10–13 | 0.03 | 11% | 30 Mar → | ||
| 7–13 | -0.00 | 10% | 30 Mar → | ||
| 10–13 | 0.06 | 23% | 30 Mar → | ||
| 13–11 | 0.08 | 19% | 26 Mar → | ||
| 6–13 | 0.05 | 25% | 26 Mar → | ||
| 4–13 | 0.03 | 32% | 23 Mar → | ||
| 13–7 | 0.15 | 29% | 23 Mar → | ||
| 13–6 | 0.09 | 18% | 23 Mar → | ||
| 9–13 | -0.01 | 24% | 26 Feb → | ||
| 13–8 | 0.10 | 20% | 7 Jan → | ||
| 12–16 | -0.02 | 24% | 19 Nov → | ||
| 10–13 | -0.02 | 15% | 19 Nov → | ||
| 15–15 | 0.05 | 30% | 18 Nov → | ||
| 13–11 | 0.06 | 25% | 17 Nov → | ||
| 13–16 | 0.07 | 20% | 14 Nov → | ||
| 4–13 | -0.02 | 20% | 11 Nov → | ||
| 10–4 | 0.05 | 16% | 30 Oct → | ||
| 13–6 | 0.09 | 35% | 30 Oct → | ||
| 7–13 | -0.01 | 12% | 29 Oct → | ||
| 12–3 | 0.04 | 21% | 12 Aug → | ||
| 4–13 | 0.00 | 13% | 18 Jun → | ||
| 6–13 | 0.04 | 24% | 18 Jun → | ||
| 13–9 | 0.02 | 22% | 16 Jun → | ||
| 13–6 | 0.01 | 13% | 16 Jun → | ||
| 13–7 | 0.08 | 19% | 15 Jun → | ||
| 8–13 | 0.06 | 28% | 28 May → | ||
| 1–13 | -0.05 | 6% | 28 May → | ||
| 8–13 | -0.04 | 18% | 10 May → | ||
| 13–16 | 0.04 | 20% | 26 Apr → | ||
| 11–13 | 0.07 | 21% | 22 Apr → | ||
| 13–7 | -0.04 | 16% | 21 Apr → | ||
| 13–8 | 0.01 | 19% | 18 Mar → | ||
| 13–7 | 0.07 | 16% | 10 Feb → | ||
| 10–13 | -0.06 | 26% | 10 Feb → | ||
| 7–13 | -0.04 | 30% | 10 Feb → | ||
| 10–13 | 0.03 | 18% | 31 Jan → | ||
| 13–10 | 0.02 | 13% | 31 Jan → | ||
| 15–15 | -0.05 | 16% | 30 Jan → | ||
| 13–7 | 0.04 | 17% | 5 Jan → | ||
| 13–8 | 0.10 | 16% | 2 Jan → | ||
| 13–4 | 0.07 | 18% | 2 Jan → | ||
| 13–10 | -0.02 | 15% | 1 Jan → | ||
| 13–8 | -0.00 | 13% | 31 Dec → | ||
| 13–9 | 0.07 | 23% | 31 Dec → | ||
| 16–14 | 0.01 | 17% | 27 Dec → | ||
| 2–13 | -0.05 | 16% | 26 Dec → | ||
| 4–13 | 0.01 | 20% | 24 Dec → | ||
| 8–13 | -0.08 | 20% | 24 Dec → | ||
| 13–3 | -0.01 | 16% | 24 Dec → | ||
| 13–7 | 0.02 | 17% | 22 Dec → | ||
| 14–16 | -0.04 | 11% | 22 Dec → | ||
| 7–13 | -0.05 | 18% | 21 Dec → | ||
| 15–15 | 0.04 | 27% | 21 Dec → | ||
| 8–13 | 0.06 | 20% | 21 Dec → | ||
| 13–9 | -0.01 | 27% | 21 Dec → | ||
| 9–13 | 0.01 | 27% | 20 Dec → | ||
| 13–8 | 0.03 | 39% | 20 Dec → | ||
| 13–2 | 0.06 | 30% | 20 Dec → |
Match data via Leetify.
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