doughty — CS2 Stats
76561199132583287[U:1:1172317559]
Rating over time
Premier CS Rating
- At peak — 21,157
- Next: Red band at 25,000 — 3,843 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.02 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 89% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: 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 47% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 563ms 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 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 25 | 13–12 | 52% | -0.00 | |
| A | 24 | 15–9 | 63% | -0.01 | |
| D | 16 | 3–13 | 19% | 0.00 | |
| A | 12 | 7–5 | 58% | 0.03 | |
| A | 11 | 7–4 | 64% | 0.00 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| D | 5 | 1–4 | 20% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 129 | 47% | 1.05 | 14.6 |
| Inferno | 54 | 57% | 1.05 | 14.5 |
| Ancient | 50 | 52% | 0.95 | 14.7 |
| Anubis | 48 | 48% | 0.95 | 13.4 |
| Nuke | 45 | 53% | 1.16 | 14.1 |
| Dust2 | 41 | 49% | 0.97 | 14.6 |
| Vertigo | 34 | 59% | 1.16 | 15.5 |
| Overpass | 9 | 44% | 1.18 | 15.9 |
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 26.6331% — 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.
19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.13 | 17% | 27 Aug → | ||
| 13–11 | -0.01 | 23% | 27 Aug → | ||
| 8–13 | -0.04 | 21% | 26 Aug → | ||
| 14–16 | 0.07 | 24% | 26 Aug → | ||
| 13–9 | 0.03 | 26% | 26 Aug → | ||
| 13–6 | 0.06 | 23% | 26 Aug → | ||
| 13–5 | 0.04 | 28% | 25 Aug → | ||
| 6–13 | -0.05 | 16% | 25 Aug → | ||
| 9–13 | -0.02 | 14% | 25 Aug → | ||
| 13–3 | 0.11 | 16% | 25 Aug → | ||
| 13–8 | -0.01 | 38% | 25 Aug → | ||
| 13–7 | -0.05 | 18% | 24 Aug → | ||
| 13–10 | 0.05 | 20% | 24 Aug → | ||
| 13–10 | 0.06 | 20% | 24 Aug → | ||
| 6–13 | 0.01 | 11% | 22 Aug → | ||
| 7–13 | -0.00 | 18% | 22 Aug → | ||
| 13–3 | -0.01 | 12% | 21 Aug → | ||
| 13–7 | 0.07 | 24% | 20 Aug → | ||
| 2–0 | 0.00 | 0% | 19 Aug → | ||
| 13–7 | -0.05 | 22% | 19 Aug → | ||
| 3–5 | 0.05 | 24% | 18 Aug → | ||
| 11–13 | 0.01 | 24% | 18 Aug → | ||
| 12–16 | -0.03 | 14% | 18 Aug → | ||
| 13–10 | 0.02 | 9% | 18 Aug → | ||
| 9–13 | -0.01 | 33% | 18 Aug → | ||
| 8–13 | 0.02 | 21% | 18 Aug → | ||
| 13–8 | 0.00 | 13% | 17 Aug → | ||
| 6–13 | 0.01 | 17% | 17 Aug → | ||
| 10–13 | -0.06 | 17% | 17 Aug → | ||
| 4–13 | -0.08 | 7% | 16 Aug → | ||
| 13–9 | -0.01 | 23% | 16 Aug → | ||
| 10–13 | -0.06 | 20% | 16 Aug → | ||
| 9–13 | -0.00 | 23% | 13 Aug → | ||
| 7–13 | -0.09 | 15% | 13 Aug → | ||
| 9–13 | 0.01 | 29% | 13 Aug → | ||
| 13–10 | -0.04 | 20% | 12 Aug → | ||
| 13–3 | 0.00 | 32% | 11 Aug → | ||
| 13–6 | 0.13 | 32% | 9 Aug → | ||
| 13–8 | -0.01 | 33% | 9 Aug → | ||
| 12–12 | -0.05 | 15% | 9 Aug → | ||
| 2–13 | -0.08 | 17% | 8 Aug → | ||
| 13–10 | 0.07 | 24% | 8 Aug → | ||
| 6–13 | -0.06 | 7% | 8 Aug → | ||
| 9–13 | 0.05 | 24% | 8 Aug → | ||
| 10–13 | -0.02 | 27% | 8 Aug → | ||
| 10–13 | -0.01 | 36% | 5 Aug → | ||
| 13–6 | 0.03 | 21% | 5 Aug → | ||
| 11–2 | 0.05 | 29% | 5 Aug → | ||
| 4–13 | -0.02 | 20% | 5 Aug → | ||
| 16–13 | 0.00 | 14% | 5 Aug → | ||
| 10–13 | -0.02 | 17% | 5 Aug → | ||
| 8–13 | -0.08 | 30% | 5 Aug → | ||
| 2–9 | 0.16 | 52% | 4 Aug → | ||
| 3–13 | -0.08 | 33% | 4 Aug → | ||
| 5–13 | -0.03 | 36% | 4 Aug → | ||
| 13–9 | 0.03 | 13% | 4 Aug → | ||
| 5–13 | -0.01 | 14% | 4 Aug → | ||
| 13–5 | 0.08 | 20% | 3 Aug → | ||
| 6–13 | -0.02 | 16% | 2 Aug → | ||
| 13–11 | -0.06 | 15% | 2 Aug → | ||
| 13–6 | 0.09 | 24% | 2 Aug → | ||
| 4–13 | 0.06 | 28% | 2 Aug → | ||
| 12–16 | -0.06 | 19% | 30 Jul → | ||
| 11–13 | 0.00 | 18% | 30 Jul → | ||
| 13–9 | 0.07 | 18% | 30 Jul → | ||
| 13–11 | -0.04 | 21% | 30 Jul → | ||
| 13–9 | 0.01 | 9% | 29 Jul → | ||
| 7–13 | -0.03 | 17% | 29 Jul → | ||
| 1–13 | -0.03 | 36% | 29 Jul → | ||
| 10–13 | 0.06 | 24% | 29 Jul → | ||
| 13–4 | 0.01 | 24% | 28 Jul → | ||
| 4–13 | -0.01 | 16% | 28 Jul → | ||
| 13–5 | -0.03 | 16% | 28 Jul → | ||
| 3–13 | -0.10 | 12% | 28 Jul → | ||
| 13–10 | 0.01 | 21% | 28 Jul → | ||
| 13–7 | 0.00 | 18% | 27 Jul → | ||
| 7–13 | -0.04 | 12% | 27 Jul → | ||
| 13–3 | 0.09 | 16% | 27 Jul → | ||
| 13–10 | 0.02 | 36% | 27 Jul → | ||
| 13–8 | 0.01 | 15% | 27 Jul → | ||
| 12–12 | -0.02 | 21% | 27 Jul → | ||
| 7–1 | -0.08 | 25% | 27 Jul → | ||
| 9–13 | 0.06 | 22% | 27 Jul → | ||
| 16–14 | -0.07 | 16% | 26 Jul → | ||
| 13–5 | -0.02 | 34% | 26 Jul → | ||
| 8–13 | -0.00 | 14% | 26 Jul → | ||
| 6–13 | 0.02 | 11% | 26 Jul → | ||
| 13–10 | 0.01 | 15% | 26 Jul → | ||
| 13–6 | -0.04 | 31% | 26 Jul → | ||
| 13–7 | -0.06 | 11% | 26 Jul → | ||
| 7–13 | 0.03 | 25% | 26 Jul → | ||
| 13–10 | 0.02 | 19% | 26 Jul → | ||
| 10–13 | 0.00 | 16% | 26 Jul → | ||
| 10–13 | -0.01 | 19% | 26 Jul → | ||
| 13–6 | -0.01 | 13% | 24 Jul → | ||
| 13–11 | 0.04 | 17% | 24 Jul → | ||
| 6–13 | 0.03 | 19% | 22 Jul → | ||
| 13–7 | 0.00 | 9% | 22 Jul → | ||
| 13–10 | -0.02 | 19% | 22 Jul → | ||
| 8–13 | 0.01 | 13% | 22 Jul → |
Match data via Leetify.