gov.uk — CS2 Stats
76561198811545755[U:1:851280027]
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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
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 86% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Reaction time. 568ms 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 5.0/10 (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 | 15–13 | 54% | 0.01 | |
| C | 19 | 7–12 | 37% | -0.00 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| A | 10 | 6–4 | 60% | -0.00 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| D | 5 | 1–4 | 20% | -0.01 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| office | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 131 | 57% | 1.16 | 17.2 |
| Dust2 | 71 | 52% | 1.05 | 15.6 |
| Ancient | 60 | 52% | 1.11 | 15.9 |
| Anubis | 50 | 48% | 1.03 | 15.4 |
| Inferno | 39 | 44% | 1.22 | 17.9 |
| Nuke | 37 | 38% | 1.12 | 15.8 |
| Vertigo | 19 | 47% | 1.10 | 16.0 |
| Overpass | 8 | 50% | 1.16 | 16.5 |
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 26.3076% — 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 | |
|---|---|---|---|---|---|
| 13–10 | 0.03 | 22% | 28 Aug → | ||
| 9–13 | 0.04 | 30% | 28 Aug → | ||
| 12–16 | -0.01 | 22% | 27 Aug → | ||
| 13–9 | -0.04 | 28% | 25 Aug → | ||
| 22–20 | -0.02 | 19% | 22 Aug → | ||
| 13–9 | 0.05 | 19% | 19 Aug → | ||
| 10–13 | -0.00 | 25% | 18 Aug → | ||
| 8–13 | -0.03 | 13% | 17 Aug → | ||
| 2–13 | -0.05 | 15% | 15 Aug → | ||
| 6–13 | 0.02 | 38% | 15 Aug → | ||
| 7–13 | 0.01 | 21% | 10 Aug → | ||
| 8–13 | -0.05 | 29% | 7 Aug → | ||
| 13–5 | 0.02 | 44% | 7 Aug → | ||
| 13–11 | 0.02 | 14% | 7 Aug → | ||
| 11–13 | 0.01 | 23% | 2 Aug → | ||
| 13–1 | 0.05 | 22% | 1 Aug → | ||
| 13–7 | 0.07 | 15% | 31 Jul → | ||
| 13–9 | 0.07 | 21% | 31 Jul → | ||
| 10–13 | 0.02 | 13% | 17 Jul → | ||
| 13–10 | -0.03 | 28% | 17 Jul → | ||
| 13–3 | 0.03 | 41% | 17 Jun → | ||
| 14–16 | -0.02 | 17% | 1 Jun → | ||
| 19–17 | -0.06 | 20% | 31 May → | ||
| 13–6 | -0.04 | 23% | 29 May → | ||
| 11–13 | -0.04 | 20% | 28 May → | ||
| 6–13 | -0.06 | 27% | 28 May → | ||
| 4–11 | -0.03 | 30% | 27 May → | ||
| 11–13 | -0.01 | 23% | 24 May → | ||
| 9–5 | -0.02 | 16% | 24 May → | ||
| 13–7 | 0.00 | 23% | 23 May → | ||
| 13–7 | -0.04 | 17% | 19 May → | ||
| 6–9 | 0.07 | 35% | 7 May → | ||
| 7–13 | -0.06 | 19% | 1 May → | ||
| 10–13 | -0.03 | 23% | 30 Apr → | ||
| 13–6 | 0.13 | 29% | 28 Apr → | ||
| 13–8 | 0.01 | 33% | 25 Apr → | ||
| 13–11 | 0.02 | 21% | 23 Apr → | ||
| 13–5 | -0.02 | 8% | 23 Apr → | ||
| 15–15 | -0.02 | 24% | 21 Apr → | ||
| 13–10 | 0.03 | 17% | 20 Apr → | ||
| 13–7 | -0.02 | 21% | 19 Apr → | ||
| 4–13 | -0.06 | 26% | 19 Apr → | ||
| 16–13 | -0.06 | 19% | 18 Apr → | ||
| 11–13 | 0.04 | 19% | 18 Apr → | ||
| 10–13 | -0.04 | 35% | 15 Apr → | ||
| 10–13 | 0.04 | 19% | 14 Apr → | ||
| 13–9 | -0.05 | 10% | 11 Apr → | ||
| 13–6 | 0.09 | 38% | 11 Apr → | ||
| 8–13 | 0.04 | 32% | 10 Apr → | ||
| 8–13 | 0.01 | 42% | 10 Apr → | ||
| 5–13 | -0.02 | 28% | 10 Apr → | ||
| 13–11 | 0.05 | 33% | 10 Apr → | ||
| 9–13 | 0.02 | 33% | 9 Apr → | ||
| 13–7 | -0.03 | 15% | 9 Apr → | ||
| 13–7 | 0.08 | 32% | 8 Apr → | ||
| 13–6 | -0.01 | 20% | 7 Apr → | ||
| 7–13 | 0.05 | 17% | 7 Apr → | ||
| 5–13 | -0.02 | 18% | 7 Apr → | ||
| 3–13 | -0.05 | 18% | 4 Apr → | ||
| 9–13 | 0.04 | 22% | 4 Apr → | ||
| 13–11 | 0.07 | 30% | 4 Apr → | ||
| 11–13 | 0.01 | 21% | 4 Apr → | ||
| 4–13 | -0.06 | 14% | 1 Apr → | ||
| 13–10 | 0.02 | 23% | 1 Apr → | ||
| 11–13 | -0.07 | 23% | 1 Apr → | ||
| 13–6 | 0.09 | 13% | 1 Apr → | ||
| 13–8 | 0.12 | 25% | 1 Apr → | ||
| 13–5 | 0.02 | 28% | 1 Apr → | ||
| 2–0 | 0.06 | 50% | 1 Apr → | ||
| 6–9 | 0.01 | 28% | 28 Mar → | ||
| 7–13 | 0.12 | 33% | 28 Mar → | ||
| 8–13 | -0.08 | 14% | 25 Mar → | ||
| 10–13 | 0.05 | 31% | 25 Mar → | ||
| 13–9 | 0.17 | 27% | 25 Mar → | ||
| 7–9 | 0.14 | 34% | 25 Mar → | ||
| 6–0 | 0.04 | 25% | 2 Mar → | ||
| 9–13 | 0.10 | 35% | 23 Feb → | ||
| 3–13 | -0.07 | 10% | 22 Feb → | ||
| 14–16 | -0.02 | 29% | 21 Feb → | ||
| 13–9 | -0.03 | 24% | 21 Feb → | ||
| 11–13 | -0.08 | 14% | 21 Feb → | ||
| 13–11 | -0.05 | 28% | 20 Feb → | ||
| 13–16 | -0.04 | 21% | 19 Feb → | ||
| 15–15 | 0.03 | 19% | 18 Feb → | ||
| 9–1 | 0.05 | 20% | 18 Feb → | ||
| 2–13 | -0.00 | 17% | 18 Feb → | ||
| 1–13 | -0.10 | 22% | 18 Feb → | ||
| office | 13–8 | 0.02 | 35% | 16 Feb → | |
| 13–7 | -0.01 | 25% | 15 Feb → | ||
| 11–13 | 0.00 | 30% | 11 Feb → | ||
| 16–14 | -0.01 | 20% | 10 Feb → | ||
| 13–4 | -0.03 | 24% | 10 Feb → | ||
| 13–7 | -0.02 | 27% | 8 Feb → | ||
| 13–11 | -0.01 | 17% | 26 Jan → | ||
| 13–10 | 0.02 | 26% | 25 Jan → | ||
| 13–8 | 0.04 | 23% | 25 Jan → | ||
| 13–5 | 0.02 | 17% | 24 Jan → | ||
| 13–5 | 0.01 | 32% | 1 Jan → | ||
| 9–13 | -0.06 | 21% | 1 Jan → | ||
| 7–13 | -0.03 | 30% | 31 Dec → |
Match data via Leetify.