georgedroyd — CS2 Stats
76561199827975441[U:1:1867709713]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 39.8% | 40.1% | 41.7% | 1.8% short |
| Shot accuracy | 0.0% | 7.6% | 8.8% | 8.8% short |
| Kill/death ratio | 0.93 | 0.92 | 0.97 | 0.04 short |
| Match win rate | 45.7% | 42.2% | 43.8% | above |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Blue band 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: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 b1t 86% playstyle similarity
Most alike: opening-duel success, 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
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. 658ms 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 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| C | 23 | 10–13 | 43% | 0.00 | |
| B | 19 | 9–10 | 47% | -0.00 | |
| A | 17 | 10–7 | 59% | -0.01 | |
| C | 11 | 4–7 | 36% | -0.01 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| D | 6 | 2–4 | 33% | 0.03 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.03 | |
| poseidon | — | 1 | 1–0 | 100% | -0.05 |
| office | — | 1 | 0–1 | 0% | 0.02 |
| — | 1 | 0–1 | 0% | -0.01 |
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.
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 2.2624 — below the 4 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 35.7489% — 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.04 | 17% | 29 Aug → | ||
| 10–13 | -0.02 | 21% | 29 Aug → | ||
| 13–10 | 0.07 | 15% | 29 Aug → | ||
| 13–0 | 0.10 | 23% | 28 Aug → | ||
| 10–13 | 0.00 | 10% | 28 Aug → | ||
| 13–8 | 0.08 | 23% | 28 Aug → | ||
| 2–9 | -0.13 | 21% | 28 Aug → | ||
| 9–5 | -0.12 | 12% | 28 Aug → | ||
| poseidon | 9–5 | -0.05 | 11% | 28 Aug → | |
| 7–9 | -0.04 | 11% | 28 Aug → | ||
| 9–1 | -0.06 | 13% | 28 Aug → | ||
| 9–2 | 0.19 | 24% | 28 Aug → | ||
| 8–13 | 0.02 | 6% | 27 Aug → | ||
| 16–12 | 0.06 | 17% | 27 Aug → | ||
| 12–12 | -0.01 | 29% | 26 Aug → | ||
| 6–13 | -0.10 | 7% | 26 Aug → | ||
| 13–5 | 0.05 | 29% | 26 Aug → | ||
| 13–6 | -0.02 | 14% | 24 Aug → | ||
| 13–10 | -0.00 | 10% | 23 Aug → | ||
| 11–13 | -0.05 | 27% | 23 Aug → | ||
| 13–11 | -0.03 | 14% | 23 Aug → | ||
| 13–5 | -0.02 | 38% | 23 Aug → | ||
| 11–13 | -0.02 | 18% | 23 Aug → | ||
| 5–13 | -0.08 | 28% | 22 Aug → | ||
| 5–13 | 0.02 | 24% | 22 Aug → | ||
| 13–9 | 0.01 | 14% | 22 Aug → | ||
| 13–8 | 0.09 | 9% | 22 Aug → | ||
| 13–1 | 0.01 | 14% | 22 Aug → | ||
| office | 8–13 | 0.02 | 20% | 20 Aug → | |
| 11–13 | -0.01 | 7% | 20 Aug → | ||
| 8–13 | 0.03 | 9% | 19 Aug → | ||
| 13–6 | -0.02 | 22% | 19 Aug → | ||
| 8–13 | -0.01 | 13% | 16 Aug → | ||
| 13–7 | -0.04 | 0% | 16 Aug → | ||
| 8–13 | 0.02 | 9% | 16 Aug → | ||
| 4–13 | -0.07 | 8% | 16 Aug → | ||
| 9–13 | -0.05 | 25% | 16 Aug → | ||
| 4–13 | -0.06 | 6% | 15 Aug → | ||
| 3–13 | 0.02 | 14% | 15 Aug → | ||
| 8–13 | 0.02 | 19% | 15 Aug → | ||
| 10–13 | 0.01 | 19% | 14 Aug → | ||
| 15–15 | -0.02 | 15% | 14 Aug → | ||
| 2–13 | -0.03 | 12% | 14 Aug → | ||
| 13–9 | 0.07 | 17% | 14 Aug → | ||
| 11–13 | -0.00 | 23% | 14 Aug → | ||
| 10–13 | -0.02 | 23% | 14 Aug → | ||
| 13–4 | 0.04 | 21% | 14 Aug → | ||
| 11–13 | -0.02 | 19% | 14 Aug → | ||
| 4–13 | -0.03 | 14% | 13 Aug → | ||
| 13–10 | 0.04 | 13% | 13 Aug → | ||
| 13–8 | -0.01 | 13% | 13 Aug → | ||
| 11–13 | 0.09 | 15% | 13 Aug → | ||
| 2–13 | -0.00 | 18% | 12 Aug → | ||
| 11–13 | -0.06 | 15% | 10 Aug → | ||
| 8–13 | 0.00 | 15% | 10 Aug → | ||
| 13–9 | -0.05 | 10% | 10 Aug → | ||
| 13–4 | 0.03 | 22% | 10 Aug → | ||
| 13–6 | 0.01 | 14% | 10 Aug → | ||
| 13–9 | 0.01 | 16% | 10 Aug → | ||
| 10–13 | -0.01 | 7% | 10 Aug → | ||
| 8–1 | 0.06 | 31% | 10 Aug → | ||
| 13–8 | -0.07 | 15% | 9 Aug → | ||
| 16–12 | 0.03 | 16% | 9 Aug → | ||
| 13–11 | 0.00 | 15% | 9 Aug → | ||
| 4–13 | -0.05 | 22% | 9 Aug → | ||
| 2–13 | -0.07 | 8% | 9 Aug → | ||
| 13–6 | 0.02 | 31% | 9 Aug → | ||
| 7–13 | -0.06 | 13% | 9 Aug → | ||
| 9–4 | -0.05 | 10% | 9 Aug → | ||
| 13–5 | -0.03 | 24% | 9 Aug → | ||
| 11–13 | -0.06 | 15% | 9 Aug → | ||
| 13–10 | 0.01 | 19% | 8 Aug → | ||
| 2–13 | -0.01 | 12% | 8 Aug → | ||
| 6–13 | 0.01 | 11% | 8 Aug → | ||
| 11–13 | 0.02 | 5% | 8 Aug → | ||
| 13–5 | -0.02 | 16% | 7 Aug → | ||
| 8–13 | -0.03 | 8% | 7 Aug → | ||
| 11–13 | -0.11 | 17% | 7 Aug → | ||
| 3–4 | -0.05 | 0% | 7 Aug → | ||
| 10–13 | 0.01 | 14% | 7 Aug → | ||
| 4–6 | 0.06 | 29% | 7 Aug → | ||
| 13–7 | -0.02 | 14% | 7 Aug → | ||
| 10–13 | -0.04 | 9% | 6 Aug → | ||
| 13–11 | 0.03 | 18% | 6 Aug → | ||
| 13–5 | 0.03 | 11% | 6 Aug → | ||
| 11–13 | 0.01 | 16% | 5 Aug → | ||
| 10–13 | 0.06 | 13% | 5 Aug → | ||
| 13–8 | 0.02 | 15% | 5 Aug → | ||
| 13–4 | 0.01 | 19% | 4 Aug → | ||
| 8–13 | -0.06 | 19% | 4 Aug → | ||
| 12–16 | 0.03 | 15% | 4 Aug → | ||
| 13–10 | 0.00 | 5% | 3 Aug → | ||
| 13–10 | -0.03 | 25% | 3 Aug → | ||
| 13–7 | 0.06 | 9% | 3 Aug → | ||
| 13–5 | 0.06 | 33% | 3 Aug → | ||
| 8–13 | 0.00 | 36% | 3 Aug → | ||
| 13–6 | 0.03 | 32% | 3 Aug → | ||
| 11–13 | -0.05 | 8% | 30 Jul → | ||
| 13–0 | 0.01 | 10% | 28 Jul → | ||
| 4–13 | 0.02 | 27% | 28 Jul → |
Match data via Leetify.