✪ Sully — CS2 Stats
76561198148995351[U:1:188729623]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 82% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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. 654ms 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 4.6/10 (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 |
|---|---|---|---|---|---|
| C | 20 | 7–13 | 35% | 0.01 | |
| D | 19 | 6–13 | 32% | -0.03 | |
| D | 18 | 4–14 | 22% | -0.02 | |
| C | 15 | 6–9 | 40% | -0.01 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.00 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% over 18). 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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 16 | 50% | 1.13 | 15.8 |
| Ancient | 15 | 53% | 1.17 | 16.5 |
| Anubis | 13 | 46% | 1.13 | 16.9 |
| Inferno | 10 | 50% | 1.17 | 18.8 |
| Overpass | 6 | 100% | 2.48 | 21.2 |
| Vertigo | 6 | 50% | 0.90 | 13.2 |
| Nuke | 4 | 50% | 3.06 | 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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4824 — below the 0.5 mark we flag
- 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 33.8552% — 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.
22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.12 | 29% | 4 Aug → | ||
| 8–13 | -0.09 | 0% | 27 Jul → | ||
| 6–12 | 0.12 | 31% | 22 Jul → | ||
| 13–0 | 0.12 | 13% | 30 Jun → | ||
| 13–11 | 0.00 | 23% | 20 Jun → | ||
| 11–13 | -0.06 | 23% | 15 Jun → | ||
| 4–13 | -0.02 | 19% | 15 Jun → | ||
| 10–13 | -0.06 | 27% | 15 Jun → | ||
| 1–6 | -0.07 | 33% | 15 Jun → | ||
| 7–13 | -0.01 | 39% | 15 Jun → | ||
| 13–3 | 0.00 | 24% | 15 Jun → | ||
| 10–13 | -0.03 | 17% | 15 Jun → | ||
| 8–13 | -0.08 | 17% | 15 Jun → | ||
| 13–6 | 0.03 | 25% | 15 Jun → | ||
| 8–13 | -0.01 | 16% | 14 Jun → | ||
| 13–9 | 0.02 | 24% | 14 Jun → | ||
| 13–11 | -0.01 | 37% | 14 Jun → | ||
| 13–8 | -0.01 | 25% | 14 Jun → | ||
| 6–13 | -0.00 | 25% | 14 Jun → | ||
| 13–6 | 0.03 | 16% | 14 Jun → | ||
| 13–10 | 0.02 | 30% | 14 Jun → | ||
| 13–9 | 0.07 | 20% | 14 Jun → | ||
| 8–13 | -0.02 | 21% | 14 Jun → | ||
| 8–13 | -0.02 | 26% | 14 Jun → | ||
| 13–10 | 0.03 | 22% | 14 Jun → | ||
| 3–13 | -0.07 | 28% | 14 Jun → | ||
| 13–7 | 0.05 | 31% | 14 Jun → | ||
| 2–13 | -0.05 | 25% | 14 Jun → | ||
| 9–13 | -0.02 | 14% | 14 Jun → | ||
| 16–12 | -0.03 | 18% | 14 Jun → | ||
| 11–13 | -0.00 | 16% | 14 Jun → | ||
| 10–13 | -0.04 | 13% | 14 Jun → | ||
| 13–9 | 0.01 | 29% | 14 Jun → | ||
| 9–13 | -0.05 | 12% | 14 Jun → | ||
| 13–4 | 0.05 | 25% | 14 Jun → | ||
| 13–7 | -0.06 | 27% | 14 Jun → | ||
| 3–13 | 0.02 | 16% | 14 Jun → | ||
| 13–4 | 0.01 | 26% | 14 Jun → | ||
| 6–13 | -0.03 | 32% | 14 Jun → | ||
| 8–13 | -0.07 | 13% | 14 Jun → | ||
| 2–13 | -0.05 | 50% | 14 Jun → | ||
| 13–10 | 0.03 | 21% | 14 Jun → | ||
| 1–13 | -0.01 | 32% | 14 Jun → | ||
| 12–12 | -0.01 | 36% | 14 Jun → | ||
| 0–7 | 0.03 | 43% | 13 Jun → | ||
| 4–13 | -0.11 | 60% | 30 May → | ||
| 13–3 | 0.07 | 31% | 14 May → | ||
| 6–13 | 0.04 | 25% | 12 May → | ||
| 13–4 | -0.03 | 41% | 12 May → | ||
| 1–10 | -0.06 | 8% | 12 May → | ||
| 5–13 | -0.02 | 24% | 10 May → | ||
| 4–13 | -0.06 | 29% | 10 May → | ||
| 7–13 | 0.04 | 28% | 10 May → | ||
| 13–8 | 0.00 | 18% | 10 May → | ||
| 13–5 | -0.02 | 47% | 10 May → | ||
| 11–13 | 0.07 | 23% | 7 May → | ||
| 3–13 | -0.01 | 32% | 6 May → | ||
| 5–13 | -0.01 | 25% | 6 May → | ||
| 3–13 | -0.11 | 50% | 4 May → | ||
| 12–12 | 0.06 | 25% | 3 May → | ||
| 6–13 | -0.01 | 29% | 1 May → | ||
| 10–13 | -0.02 | 21% | 27 Apr → | ||
| 11–13 | -0.01 | 23% | 19 Apr → | ||
| 8–13 | -0.04 | 27% | 3 Apr → | ||
| 3–10 | -0.07 | 36% | 30 Mar → | ||
| 3–13 | -0.08 | 11% | 20 Mar → | ||
| 8–13 | -0.08 | 15% | 19 Mar → | ||
| 13–3 | -0.03 | 26% | 19 Mar → | ||
| 11–13 | -0.05 | 24% | 11 Mar → | ||
| 5–13 | 0.01 | 25% | 11 Mar → | ||
| 13–7 | 0.03 | 19% | 11 Mar → | ||
| 9–13 | 0.03 | 30% | 11 Mar → | ||
| 2–13 | -0.11 | 0% | 9 Mar → | ||
| 13–6 | 0.04 | 35% | 6 Mar → | ||
| 9–13 | 0.01 | 18% | 24 Feb → | ||
| 3–13 | -0.07 | 0% | 13 Feb → | ||
| 5–13 | -0.02 | 29% | 11 Feb → | ||
| 6–13 | -0.03 | 13% | 11 Feb → | ||
| 13–9 | -0.01 | 50% | 11 Feb → | ||
| 8–13 | -0.07 | 17% | 5 Feb → | ||
| 12–12 | -0.01 | 11% | 5 Feb → | ||
| 13–6 | -0.08 | 18% | 5 Feb → | ||
| 4–13 | -0.02 | 24% | 5 Feb → | ||
| 4–13 | -0.07 | 17% | 5 Feb → | ||
| 13–7 | -0.00 | 29% | 3 Feb → | ||
| 13–10 | -0.02 | 19% | 3 Feb → | ||
| 13–11 | 0.05 | 17% | 3 Feb → | ||
| 13–11 | 0.03 | 23% | 24 Jan → | ||
| 13–5 | 0.06 | 31% | 23 Jan → | ||
| 1–8 | -0.12 | 33% | 30 Dec → | ||
| 11–13 | 0.03 | 43% | 25 Dec → | ||
| 11–13 | -0.02 | 36% | 25 Dec → | ||
| 8–13 | 0.04 | 23% | 25 Dec → | ||
| 13–10 | 0.04 | 27% | 25 Dec → | ||
| 3–13 | -0.01 | 23% | 25 Dec → | ||
| 13–16 | 0.09 | 29% | 25 Dec → | ||
| 16–14 | -0.02 | 25% | 25 Dec → | ||
| 13–9 | -0.00 | 11% | 25 Dec → | ||
| 2–13 | -0.01 | 12% | 25 Dec → | ||
| 13–5 | 0.04 | 19% | 25 Dec → |
Match data via Leetify.