trustware.incට ̫ට ; — CS2 Stats
76561199227972972[U:1:1267707244]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.01 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 77% 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 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 670ms 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 3.8/10 (Learning), 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 |
|---|---|---|---|---|---|
| C | 44 | 18–26 | 41% | 0.01 | |
| D | 21 | 3–18 | 14% | -0.01 | |
| D | 18 | 5–13 | 28% | -0.01 | |
| C | 5 | 2–3 | 40% | -0.04 | |
| office | — | 3 | 0–3 | 0% | 0.01 |
| — | 3 | 0–3 | 0% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.08 | |
| italy | — | 2 | 0–2 | 0% | -0.03 |
| edin | — | 1 | 0–1 | 0% | 0.05 |
| — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (14% over 21). Start with the 6 essential Nuke 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 2 | 100% | 3.29 | 22.5 |
| Mirage | 1 | 100% | 1.32 | 25.0 |
| Ancient | 1 | 100% | 0.84 | 16.0 |
| Nuke | 1 | 100% | 1.08 | 13.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4226° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
14% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.06 | 37% | 24 Aug → | ||
| 10–13 | -0.05 | 25% | 24 Aug → | ||
| 3–13 | -0.03 | 25% | 24 Aug → | ||
| 6–13 | -0.08 | 9% | 23 Aug → | ||
| 8–13 | -0.04 | 23% | 23 Aug → | ||
| office | 12–12 | -0.06 | 27% | 22 Aug → | |
| 6–13 | -0.02 | 69% | 22 Aug → | ||
| office | 4–13 | -0.00 | 23% | 21 Aug → | |
| 5–13 | -0.00 | 7% | 21 Aug → | ||
| 13–10 | 0.03 | 23% | 25 Jul → | ||
| 13–11 | -0.02 | 17% | 19 Jul → | ||
| 13–8 | -0.02 | 28% | 19 Jul → | ||
| 2–13 | -0.03 | 22% | 19 Jul → | ||
| 13–4 | -0.06 | 21% | 23 May → | ||
| 5–13 | -0.04 | 8% | 14 Feb → | ||
| 7–13 | 0.05 | 37% | 24 Jan → | ||
| 13–11 | -0.09 | 30% | 24 Jan → | ||
| 3–9 | -0.10 | 8% | 3 Jan → | ||
| 9–13 | 0.01 | 16% | 1 Jan → | ||
| 0–4 | -0.10 | 20% | 29 Dec → | ||
| 4–13 | 0.08 | 29% | 29 Dec → | ||
| 2–7 | -0.05 | 0% | 25 Dec → | ||
| 9–13 | 0.04 | 21% | 19 Dec → | ||
| 13–3 | 0.01 | 35% | 19 Dec → | ||
| 2–3 | 0.15 | 60% | 18 Dec → | ||
| 13–8 | -0.01 | 19% | 16 Dec → | ||
| 4–13 | -0.04 | 21% | 16 Dec → | ||
| 2–13 | -0.02 | 36% | 16 Dec → | ||
| 13–10 | 0.05 | 27% | 13 Dec → | ||
| 2–13 | -0.02 | 34% | 13 Dec → | ||
| 13–8 | 0.07 | 22% | 11 Dec → | ||
| 5–13 | 0.03 | 31% | 11 Dec → | ||
| 8–13 | 0.05 | 32% | 4 Jul → | ||
| 4–13 | 0.01 | 28% | 4 Jul → | ||
| 7–13 | -0.00 | 50% | 27 Jun → | ||
| 8–13 | 0.01 | 32% | 27 Jun → | ||
| 8–13 | 0.02 | 11% | 20 Jun → | ||
| 13–8 | -0.03 | 8% | 20 Jun → | ||
| 16–12 | -0.02 | 18% | 20 Jun → | ||
| 10–13 | 0.01 | 24% | 20 Jun → | ||
| 13–5 | 0.01 | 91% | 16 Jun → | ||
| 13–8 | -0.03 | 19% | 11 Jun → | ||
| 3–11 | 0.02 | 23% | 11 Jun → | ||
| 3–13 | -0.13 | 36% | 8 Jun → | ||
| 5–8 | -0.04 | 0% | 4 Jun → | ||
| 13–5 | -0.07 | 21% | 4 Jun → | ||
| italy | 7–13 | -0.03 | 15% | 3 Jun → | |
| 16–14 | -0.04 | 15% | 3 Jun → | ||
| 2–13 | -0.01 | 23% | 1 Jun → | ||
| 2–5 | 0.07 | 45% | 24 May → | ||
| 13–3 | -0.00 | 20% | 24 May → | ||
| 13–10 | 0.03 | 23% | 22 May → | ||
| 10–13 | 0.10 | 21% | 21 May → | ||
| 13–6 | -0.01 | 73% | 20 May → | ||
| 15–15 | 0.03 | 17% | 16 May → | ||
| 4–13 | -0.01 | 21% | 16 May → | ||
| 13–7 | -0.01 | 15% | 7 May → | ||
| 8–7 | 0.09 | 72% | 26 Apr → | ||
| 3–8 | -0.01 | 21% | 26 Apr → | ||
| edin | 5–13 | 0.05 | 15% | 26 Apr → | |
| 13–8 | 0.09 | 20% | 24 Apr → | ||
| 4–13 | -0.06 | 31% | 17 Apr → | ||
| 13–1 | 0.06 | 24% | 17 Apr → | ||
| 13–5 | 0.12 | 34% | 15 Apr → | ||
| 7–13 | 0.03 | 35% | 11 Apr → | ||
| 6–13 | -0.03 | 45% | 6 Apr → | ||
| 5–13 | -0.09 | 38% | 6 Apr → | ||
| 10–13 | -0.11 | 24% | 25 Mar → | ||
| 13–2 | 0.08 | 50% | 22 Mar → | ||
| 12–12 | -0.03 | 32% | 23 Feb → | ||
| 3–13 | 0.05 | 26% | 9 Feb → | ||
| 13–7 | 0.14 | 26% | 8 Feb → | ||
| 13–6 | 0.10 | 22% | 22 Jan → | ||
| 6–10 | -0.00 | 23% | 21 Jan → | ||
| italy | 2–8 | -0.02 | 13% | 20 Jan → | |
| 0–4 | -0.00 | 0% | 20 Jan → | ||
| 12–12 | 0.01 | 42% | 19 Jan → | ||
| 7–13 | -0.06 | 40% | 18 Jan → | ||
| 12–7 | 0.02 | 31% | 13 Jan → | ||
| 2–2 | -0.11 | 25% | 13 Jan → | ||
| 5–13 | 0.02 | 29% | 8 Jan → | ||
| 10–13 | 0.00 | 33% | 7 Jan → | ||
| 8–13 | -0.01 | 31% | 31 Dec → | ||
| 0–3 | -0.14 | 0% | 31 Dec → | ||
| 2–5 | -0.03 | 26% | 31 Dec → | ||
| 9–13 | -0.01 | 26% | 30 Dec → | ||
| 9–13 | -0.00 | 43% | 29 Dec → | ||
| 12–10 | 0.09 | 36% | 25 Dec → | ||
| 4–13 | -0.03 | 33% | 24 Dec → | ||
| 11–13 | 0.05 | 31% | 20 Dec → | ||
| office | 4–2 | 0.10 | 75% | 14 Dec → | |
| 2–8 | -0.14 | 38% | 14 Dec → | ||
| 3–13 | -0.04 | 18% | 5 Dec → | ||
| 13–10 | 0.02 | 17% | 27 Oct → | ||
| 3–13 | -0.02 | 12% | 27 Oct → | ||
| 9–7 | 0.09 | 67% | 9 Sept → | ||
| 0–11 | -0.05 | 20% | 1 Sept → | ||
| 13–7 | -0.02 | 13% | 27 Aug → | ||
| 13–11 | 0.00 | 15% | 24 Aug → | ||
| 6–13 | 0.02 | 23% | 22 Aug → |
Match data via Leetify.