SirLickey — CS2 Stats
76561198320816231[U:1:360550503]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.00 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 74% 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 38% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 832ms 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 4.1/10 (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 74 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 | C | 27 | 10–17 | 37% | -0.02 |
 mirage | D | 12 | 4–8 | 33% | -0.03 |
 inferno | D | 7 | 1–6 | 14% | -0.03 |
 nuke | A | 7 | 4–3 | 57% | -0.02 |
 overpass | B | 6 | 3–3 | 50% | -0.05 |
 train | — | 4 | 2–2 | 50% | -0.03 |
 ancient | — | 3 | 1–2 | 33% | -0.06 |
 cache | — | 3 | 1–2 | 33% | -0.03 |
 vertigo | — | 2 | 0–2 | 0% | -0.07 |
 anubis | — | 1 | 1–0 | 100% | 0.01 |
| fachwerk | — | 1 | 0–1 | 0% | -0.04 |
| mills | — | 1 | 0–1 | 0% | -0.04 |
Across the last 74 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno 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.
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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 831.8098ms — above the 700ms mark we flag
- 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 0.4212 — 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 22.34% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 5–13 | -0.05 | 26% | 16 Aug → | |
| dust2 | 15–15 | 0.00 | 31% | 7 Aug → | |
| dust2 | 16–14 | -0.03 | 22% | 7 Aug → | |
| dust2 | 10–13 | -0.06 | 28% | 31 Jul → | |
| anubis | 13–1 | 0.01 | 35% | 31 Jul → | |
| ancient | 13–10 | -0.09 | 39% | 29 Jul → | |
| cache | 13–11 | 0.00 | 33% | 29 Jul → | |
| cache | 2–8 | -0.07 | 27% | 24 Jul → | |
| inferno | 5–13 | -0.02 | 39% | 16 Jul → | |
| dust2 | 16–12 | 0.03 | 22% | 13 Jul → | |
| dust2 | 13–9 | -0.02 | 31% | 13 Jul → | |
| fachwerk | 9–13 | -0.04 | 38% | 10 Jul → | |
| dust2 | 1–13 | -0.06 | 17% | 10 Jul → | |
| dust2 | 8–13 | -0.03 | 25% | 9 Jul → | |
| ancient | 4–13 | -0.04 | 21% | 3 Jul → | |
| inferno | 12–12 | -0.02 | 18% | 1 Jul → | |
| mirage | 12–12 | -0.06 | 24% | 1 Jul → | |
| dust2 | 12–5 | 0.09 | 34% | 1 Jul → | |
| dust2 | 9–13 | -0.02 | 38% | 23 Jun → | |
| train | 3–13 | -0.04 | 11% | 21 Jun → | |
| mirage | 12–12 | 0.01 | 33% | 21 Jun → | |
| dust2 | 12–12 | -0.00 | 16% | 21 Jun → | |
| mirage | 11–13 | -0.05 | 12% | 21 Jun → | |
| train | 13–11 | -0.04 | 29% | 21 Jun → | |
| train | 13–11 | -0.03 | 22% | 21 Jun → | |
| mirage | 6–13 | -0.03 | 29% | 5 Jun → | |
| vertigo | 10–13 | -0.06 | 36% | 5 Jun → | |
| dust2 | 2–13 | -0.04 | 18% | 2 Jun → | |
| nuke | 5–13 | -0.13 | 17% | 2 Jun → | |
| overpass | 6–13 | -0.07 | 24% | 2 Jun → | |
| inferno | 11–13 | 0.05 | 19% | 2 Jun → | |
| dust2 | 13–4 | 0.05 | 25% | 1 Jun → | |
| mirage | 8–13 | -0.01 | 27% | 28 May → | |
| nuke | 13–3 | -0.01 | 14% | 28 May → | |
| mirage | 3–13 | -0.02 | 17% | 28 May → | |
| nuke | 13–11 | 0.01 | 26% | 28 May → | |
| nuke | 13–6 | 0.05 | 21% | 27 May → | |
| mirage | 13–6 | -0.07 | 12% | 27 May → | |
| dust2 | 13–10 | -0.04 | 43% | 26 May → | |
| nuke | 9–13 | -0.01 | 18% | 26 May → | |
| overpass | 13–7 | -0.01 | 11% | 26 May → | |
| cache | 4–13 | -0.03 | 39% | 25 May → | |
| overpass | 10–5 | -0.09 | 15% | 23 May → | |
| dust2 | 1–13 | -0.10 | 30% | 22 Dec → | |
| nuke | 12–12 | -0.01 | 28% | 5 Apr → | |
| overpass | 7–13 | -0.03 | 13% | 28 Mar → | |
| inferno | 7–13 | -0.04 | 33% | 23 Feb → | |
| dust2 | 3–13 | -0.03 | 25% | 23 Feb → | |
| mirage | 13–8 | -0.00 | 10% | 23 Feb → | |
| mirage | 13–8 | -0.02 | 20% | 23 Feb → | |
| mirage | 13–6 | 0.03 | 37% | 23 Feb → | |
| dust2 | 13–8 | 0.02 | 21% | 23 Feb → | |
| dust2 | 11–13 | 0.03 | 20% | 23 Feb → | |
| inferno | 13–7 | -0.04 | 13% | 22 Feb → | |
| inferno | 4–13 | -0.09 | 17% | 22 Feb → | |
| train | 10–13 | -0.01 | 29% | 22 Feb → | |
| overpass | 8–13 | -0.09 | 17% | 20 Feb → | |
| mills | 7–13 | -0.04 | 35% | 2 Aug → | |
| vertigo | 0–5 | -0.09 | 13% | 15 Jul → | |
| dust2 | 1–8 | -0.04 | 31% | 24 Jun → | |
| dust2 | 8–13 | -0.06 | 38% | 23 Jun → | |
| mirage | 7–13 | -0.05 | 22% | 22 Jun → | |
| overpass | 13–11 | -0.01 | 18% | 15 Jun → | |
| dust2 | 11–13 | -0.04 | 31% | 15 Jun → | |
| nuke | 13–6 | -0.01 | 31% | 4 Jun → | |
| dust2 | 11–13 | -0.02 | 23% | 3 Jun → | |
| dust2 | 9–13 | -0.04 | 13% | 3 Jun → | |
| dust2 | 13–5 | 0.02 | 35% | 30 May → | |
| dust2 | 4–13 | 0.03 | 20% | 13 May → | |
| dust2 | 4–13 | -0.06 | 14% | 13 May → | |
| dust2 | 5–2 | -0.08 | 50% | 12 May → | |
| inferno | 5–9 | -0.05 | 19% | 18 Mar → | |
| dust2 | 9–3 | -0.02 | 20% | 4 Nov → | |
| mirage | 8–8 | -0.06 | 8% | 30 Sept → |
Match data via Leetify.