Sugar — CS2 Stats
76561198086824894[U:1:126559166]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 sh1ro 96% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Strengths
Aim. Aim score of 92 — the mechanical foundation is a clear strength.
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 64% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
 dust2 | A | 25 | 15–10 | 60% | 0.03 |
 mirage | A | 18 | 11–7 | 61% | 0.02 |
 inferno | C | 14 | 5–9 | 36% | -0.01 |
 anubis | C | 13 | 5–8 | 38% | 0.01 |
 ancient | A | 13 | 8–5 | 62% | 0.01 |
 overpass | S | 7 | 5–2 | 71% | 0.00 |
 cache | C | 5 | 2–3 | 40% | 0.01 |
 train | — | 3 | 0–3 | 0% | -0.07 |
 nuke | — | 2 | 0–2 | 0% | -0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 316 | 60% | 1.31 | 18.1 |
| Mirage | 300 | 56% | 1.16 | 17.4 |
| Ancient | 120 | 48% | 1.12 | 16.4 |
| Anubis | 119 | 45% | 1.12 | 16.5 |
| Inferno | 112 | 49% | 1.24 | 16.2 |
| Overpass | 33 | 52% | 0.98 | 16.1 |
| Cache | 20 | 40% | 1.27 | 19.3 |
| Nuke | 12 | 42% | 0.99 | 14.3 |
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 37.9303% — 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.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 9–13 | 0.04 | 23% | 27 Aug → | |
| nuke | 6–13 | -0.03 | 24% | 23 Aug → | |
| mirage | 13–8 | 0.10 | 30% | 23 Aug → | |
| mirage | 6–13 | -0.00 | 15% | 23 Aug → | |
| cache | 14–16 | 0.05 | 19% | 21 Aug → | |
| cache | 13–11 | 0.02 | 17% | 21 Aug → | |
| dust2 | 13–11 | 0.00 | 25% | 19 Aug → | |
| anubis | 7–13 | -0.01 | 29% | 19 Aug → | |
| inferno | 13–7 | 0.08 | 37% | 18 Aug → | |
| inferno | 13–9 | 0.05 | 24% | 17 Aug → | |
| mirage | 5–13 | -0.05 | 16% | 17 Aug → | |
| dust2 | 9–13 | -0.02 | 25% | 16 Aug → | |
| dust2 | 13–9 | -0.04 | 19% | 16 Aug → | |
| anubis | 13–6 | -0.05 | 13% | 15 Aug → | |
| cache | 8–13 | -0.05 | 22% | 12 Aug → | |
| mirage | 8–13 | 0.01 | 12% | 9 Aug → | |
| cache | 13–11 | 0.00 | 18% | 8 Aug → | |
| inferno | 7–13 | 0.01 | 15% | 3 Aug → | |
| mirage | 13–9 | 0.01 | 31% | 20 Jul → | |
| dust2 | 13–9 | 0.12 | 29% | 16 Jul → | |
| dust2 | 16–12 | 0.04 | 19% | 12 Jul → | |
| inferno | 9–13 | -0.00 | 33% | 26 Jun → | |
| dust2 | 13–7 | 0.12 | 11% | 8 Jun → | |
| inferno | 13–9 | 0.01 | 36% | 8 Jun → | |
| dust2 | 13–11 | 0.07 | 31% | 8 Jun → | |
| inferno | 15–15 | 0.02 | 21% | 31 May → | |
| ancient | 11–13 | -0.05 | 35% | 22 May → | |
| anubis | 10–13 | 0.02 | 28% | 10 May → | |
| inferno | 13–10 | -0.02 | 26% | 8 May → | |
| mirage | 13–9 | -0.03 | 23% | 6 May → | |
| ancient | 13–2 | 0.13 | 22% | 5 May → | |
| dust2 | 13–4 | 0.03 | 38% | 5 May → | |
| cache | 13–16 | 0.02 | 19% | 5 May → | |
| mirage | 9–13 | -0.04 | 30% | 4 May → | |
| dust2 | 13–9 | 0.12 | 16% | 29 Apr → | |
| mirage | 13–6 | 0.01 | 22% | 28 Apr → | |
| dust2 | 11–13 | 0.01 | 31% | 28 Apr → | |
| anubis | 9–13 | 0.05 | 28% | 24 Apr → | |
| dust2 | 11–13 | 0.01 | 47% | 17 Apr → | |
| ancient | 10–13 | 0.02 | 25% | 17 Apr → | |
| dust2 | 19–17 | -0.01 | 22% | 16 Apr → | |
| dust2 | 16–14 | 0.09 | 26% | 15 Apr → | |
| overpass | 13–11 | -0.03 | 20% | 13 Apr → | |
| anubis | 11–13 | 0.00 | 22% | 9 Apr → | |
| anubis | 4–13 | 0.07 | 24% | 8 Apr → | |
| anubis | 5–13 | -0.02 | 31% | 7 Apr → | |
| mirage | 13–8 | 0.00 | 20% | 6 Apr → | |
| overpass | 5–13 | -0.02 | 18% | 4 Apr → | |
| dust2 | 13–2 | 0.15 | 44% | 3 Apr → | |
| dust2 | 5–13 | -0.05 | 33% | 30 Mar → | |
| dust2 | 22–18 | 0.03 | 24% | 22 Mar → | |
| anubis | 13–16 | 0.01 | 34% | 21 Mar → | |
| ancient | 7–13 | -0.01 | 20% | 10 Mar → | |
| dust2 | 10–13 | -0.00 | 17% | 6 Mar → | |
| anubis | 13–5 | 0.08 | 24% | 3 Mar → | |
| dust2 | 4–13 | -0.09 | 16% | 16 Nov → | |
| ancient | 13–11 | 0.03 | 42% | 16 Nov → | |
| ancient | 9–13 | -0.02 | 19% | 10 Nov → | |
| inferno | 19–17 | -0.01 | 26% | 4 Nov → | |
| inferno | 6–9 | -0.14 | 15% | 31 Oct → | |
| train | 7–13 | -0.01 | 35% | 25 Oct → | |
| nuke | 9–13 | -0.02 | 30% | 24 Oct → | |
| overpass | 13–5 | -0.04 | 31% | 24 Oct → | |
| dust2 | 13–7 | 0.06 | 29% | 20 Oct → | |
| overpass | 13–8 | 0.14 | 12% | 17 Oct → | |
| ancient | 13–7 | 0.03 | 20% | 14 Oct → | |
| inferno | 10–13 | 0.01 | 42% | 7 Oct → | |
| ancient | 13–4 | 0.05 | 22% | 6 Oct → | |
| mirage | 13–7 | 0.01 | 32% | 4 Oct → | |
| overpass | 13–11 | 0.01 | 25% | 3 Oct → | |
| inferno | 10–13 | -0.02 | 22% | 26 Sept → | |
| inferno | 14–16 | -0.01 | 31% | 22 Sept → | |
| train | 8–13 | -0.11 | 35% | 14 Sept → | |
| ancient | 13–10 | 0.01 | 33% | 14 Sept → | |
| dust2 | 8–13 | 0.02 | 34% | 11 Sept → | |
| ancient | 8–13 | -0.03 | 12% | 11 Sept → | |
| mirage | 13–9 | 0.03 | 51% | 9 Sept → | |
| ancient | 16–14 | 0.05 | 29% | 2 Sept → | |
| ancient | 13–3 | -0.04 | 24% | 2 Sept → | |
| mirage | 8–13 | -0.05 | 21% | 1 Sept → | |
| overpass | 13–6 | 0.01 | 31% | 31 Aug → | |
| mirage | 13–5 | 0.20 | 42% | 26 Aug → | |
| dust2 | 10–13 | -0.04 | 24% | 24 Aug → | |
| train | 5–13 | -0.08 | 30% | 24 Aug → | |
| mirage | 13–11 | -0.03 | 22% | 24 Aug → | |
| dust2 | 16–13 | 0.05 | 35% | 9 Aug → | |
| mirage | 13–8 | 0.02 | 26% | 4 Aug → | |
| dust2 | 9–13 | 0.05 | 40% | 2 Aug → | |
| overpass | 9–13 | -0.05 | 13% | 17 Jul → | |
| dust2 | 10–13 | -0.08 | 24% | 15 Jul → | |
| ancient | 13–10 | 0.01 | 26% | 15 Jul → | |
| dust2 | 16–13 | 0.01 | 26% | 14 Jul → | |
| mirage | 13–6 | 0.13 | 27% | 13 Jul → | |
| inferno | 10–13 | -0.11 | 22% | 9 Jul → | |
| anubis | 13–8 | -0.01 | 8% | 4 Jul → | |
| inferno | 6–13 | 0.01 | 44% | 4 Jul → | |
| anubis | 7–13 | -0.03 | 29% | 4 Jul → | |
| anubis | 13–10 | 0.01 | 15% | 3 Jul → | |
| anubis | 13–8 | 0.02 | 29% | 18 Jun → | |
| mirage | 11–13 | -0.02 | 25% | 18 Jun → |
Match data via Leetify.