GRAYSON — CS2 Stats
76561198214151864[U:1:253886136]
Rating over time
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 84% 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
Areas to improve
T-side openings. Opening success drops from 50% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 629ms 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 5.4/10 (Developing), 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 | 28 | 13–15 | 46% | -0.01 | |
| S | 18 | 12–6 | 67% | -0.00 | |
| A | 16 | 9–7 | 56% | -0.01 | |
| S | 13 | 9–4 | 69% | 0.00 | |
| A | 10 | 6–4 | 60% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.06 | |
| office | S | 5 | 4–1 | 80% | 0.01 |
| — | 4 | 1–3 | 25% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 88 | 52% | 0.93 | 13.3 |
| Ancient | 66 | 55% | 1.08 | 15.2 |
| Vertigo | 26 | 65% | 0.85 | 12.8 |
| Dust2 | 19 | 53% | 1.07 | 15.4 |
| Anubis | 17 | 35% | 0.76 | 11.1 |
| Overpass | 11 | 45% | 0.85 | 12.6 |
| Inferno | 4 | 0% | 0.58 | 12.0 |
| Nuke | 2 | 0% | 0.38 | 6.5 |
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.
- 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 20.0967% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.01 | 14% | 16 Aug → | ||
| 10–13 | -0.05 | 21% | 16 Aug → | ||
| 16–12 | -0.08 | 20% | 16 Aug → | ||
| 8–13 | -0.05 | 11% | 16 Aug → | ||
| 13–16 | 0.00 | 22% | 16 Aug → | ||
| 13–1 | 0.00 | 33% | 16 Aug → | ||
| 5–13 | -0.04 | 12% | 16 Aug → | ||
| 11–13 | -0.04 | 14% | 2 Aug → | ||
| 15–15 | -0.06 | 29% | 2 Aug → | ||
| 13–7 | -0.07 | 14% | 2 Aug → | ||
| 9–13 | -0.04 | 18% | 2 Aug → | ||
| 4–13 | -0.05 | 17% | 12 Jul → | ||
| 13–6 | -0.02 | 12% | 12 Jul → | ||
| 6–13 | 0.00 | 15% | 12 Jul → | ||
| 13–11 | -0.06 | 27% | 12 Jul → | ||
| 13–10 | 0.02 | 23% | 28 Jun → | ||
| 13–9 | 0.11 | 28% | 28 Jun → | ||
| 8–13 | -0.03 | 30% | 28 Jun → | ||
| office | 13–2 | -0.01 | 33% | 28 Jun → | |
| 13–5 | 0.04 | 16% | 6 Jun → | ||
| 13–8 | -0.07 | 8% | 6 Jun → | ||
| 13–9 | -0.02 | 40% | 6 Jun → | ||
| 13–8 | 0.02 | 14% | 6 Jun → | ||
| 9–13 | -0.04 | 17% | 6 Jun → | ||
| 13–4 | -0.06 | 15% | 6 Jun → | ||
| 13–8 | -0.06 | 8% | 6 Jun → | ||
| 8–13 | -0.02 | 17% | 28 Feb → | ||
| 13–6 | -0.04 | 33% | 28 Feb → | ||
| 13–11 | -0.02 | 19% | 28 Feb → | ||
| 13–8 | 0.05 | 18% | 25 Jan → | ||
| 13–10 | -0.02 | 25% | 25 Jan → | ||
| 13–7 | -0.02 | 13% | 17 Jan → | ||
| 13–11 | -0.04 | 13% | 17 Jan → | ||
| 13–8 | -0.02 | 12% | 17 Jan → | ||
| 7–13 | 0.00 | 6% | 17 Jan → | ||
| 11–13 | -0.05 | 17% | 17 Jan → | ||
| 11–13 | -0.05 | 11% | 9 Dec → | ||
| office | 13–6 | 0.07 | 33% | 27 Nov → | |
| 7–13 | 0.03 | 20% | 27 Nov → | ||
| office | 13–7 | -0.00 | 23% | 27 Nov → | |
| 13–9 | 0.02 | 18% | 27 Nov → | ||
| office | 2–7 | -0.03 | 0% | 27 Nov → | |
| 13–16 | -0.02 | 15% | 5 Oct → | ||
| 15–15 | -0.06 | 17% | 5 Oct → | ||
| 13–8 | -0.04 | 9% | 18 Jul → | ||
| 12–16 | 0.00 | 27% | 8 Jun → | ||
| 10–13 | 0.01 | 16% | 8 Jun → | ||
| 9–13 | -0.01 | 30% | 8 Jun → | ||
| 13–11 | 0.04 | 22% | 8 Jun → | ||
| 2–13 | -0.03 | 17% | 8 Jun → | ||
| 13–4 | 0.08 | 13% | 8 Jun → | ||
| 10–13 | -0.01 | 17% | 8 Jun → | ||
| 13–16 | -0.02 | 12% | 2 Jun → | ||
| 5–13 | -0.04 | 14% | 1 Jun → | ||
| 5–13 | -0.02 | 14% | 1 Jun → | ||
| 13–10 | 0.00 | 18% | 1 Jun → | ||
| 8–13 | -0.04 | 21% | 1 Jun → | ||
| 13–11 | -0.05 | 13% | 1 Jun → | ||
| 13–7 | 0.01 | 21% | 1 Jun → | ||
| 5–13 | -0.03 | 23% | 1 Jun → | ||
| 13–9 | 0.05 | 19% | 1 Jun → | ||
| 15–15 | 0.01 | 18% | 1 Jun → | ||
| 10–13 | 0.04 | 19% | 1 Jun → | ||
| 13–11 | 0.03 | 16% | 31 May → | ||
| 9–13 | -0.07 | 10% | 26 May → | ||
| 13–5 | 0.00 | 11% | 26 May → | ||
| 9–13 | 0.02 | 7% | 26 May → | ||
| 13–8 | -0.05 | 38% | 26 May → | ||
| 13–7 | -0.05 | 4% | 24 May → | ||
| 10–13 | -0.07 | 21% | 24 May → | ||
| 13–10 | 0.01 | 14% | 24 May → | ||
| 13–4 | -0.02 | 7% | 24 May → | ||
| 13–5 | 0.01 | 12% | 24 May → | ||
| 13–3 | 0.09 | 9% | 24 May → | ||
| office | 13–5 | 0.05 | 50% | 23 May → | |
| 2–13 | 0.06 | 24% | 23 May → | ||
| 13–10 | -0.01 | 13% | 22 May → | ||
| 13–11 | 0.06 | 16% | 22 May → | ||
| 13–11 | 0.06 | 17% | 21 May → | ||
| 11–13 | 0.03 | 18% | 21 May → | ||
| 15–15 | -0.05 | 7% | 21 May → | ||
| 13–11 | -0.03 | 18% | 20 May → | ||
| 9–13 | -0.04 | 19% | 18 May → | ||
| 13–5 | 0.04 | 19% | 18 May → | ||
| 13–6 | -0.03 | 7% | 18 May → | ||
| 13–10 | -0.02 | 24% | 18 May → | ||
| 13–9 | -0.04 | 20% | 18 May → | ||
| 14–16 | -0.01 | 13% | 18 May → | ||
| 16–19 | -0.05 | 6% | 18 May → | ||
| 13–8 | 0.11 | 20% | 16 May → | ||
| 7–13 | -0.00 | 7% | 16 May → | ||
| 14–16 | -0.06 | 5% | 14 May → | ||
| 16–12 | 0.01 | 11% | 9 May → | ||
| 16–13 | 0.01 | 16% | 3 May → | ||
| 13–11 | 0.00 | 11% | 3 May → | ||
| 8–13 | 0.02 | 21% | 3 May → | ||
| 13–8 | 0.06 | 16% | 3 May → | ||
| 13–4 | -0.01 | 17% | 3 May → | ||
| 6–13 | -0.04 | 35% | 3 May → | ||
| 13–9 | 0.07 | 4% | 3 May → |
Match data via Leetify.