Sycocylin

Sycocylin — CS2 Stats

76561198063454775[U:1:103189047]Steam profile ↗VAC banned

995Tracked matches54%Win rate2020Tracked since
1,418Hours in CS
CSDB Rating5.9 SolidAll-Rounder
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,291 +532 23 Apr – 26 Jun · 8 days played
16,75918,033peak 18,03323 Apr26 Jun
18,252Peak Premier in tracked matches
32Days played since 2025-10-10

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,030), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate49.5%46.8%48.2%above
Shot accuracy16.9%13.0%13.3%above
Kill/death ratio1.181.061.07above
Match win rate47.8%46.3%46.9%meets

Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGSycocylinFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning46
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWWLLLWWWWL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +7.6pp headshot accuracy · −15ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 634ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 645ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 652ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.1
Utility4.6
Positioning4.6
Opening Duels2.6
Clutch3.6

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 92% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 653ms 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

Aim8.1
Positioning4.6
Utility4.6
Mechanics7.0
Opening Duels1.9
Win Impact6.2

Composite 5.9/10 (Solid), 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

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time652ms−40ms
first ⅓ avg 692ms → last ⅓ avg 652ms
Headshot accuracy23.8%+2.7%
first ⅓ avg 21.1% → last ⅓ avg 23.8%

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.

Personal bests

0.16Best match rating · 11–6 · mirage, 14 Jun →
67%Best headshot accuracy · 1–13 · inferno, 20 Sept →
469msFastest reaction time · 13–4 · inferno, 12 Jun →
13–1Biggest win · mirage, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 73% over 11overpassWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA1810–856%0.02
mirageB179–853%0.01
cacheC167–944%0.02
ancientA127–558%0.01
dust2D113–827%-0.01
nukeS118–373%0.02
anubisB63–350%0.01
overpassD50–50%-0.01
train—20–20%0.01
vertigo—20–20%-0.00

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,355Lifetime kills
1.18K/D · Top 50% of Level 8 players
2,928Matches
47.8%Match win rate · Top 50% of Level 8 players
49.5%Headshot % · Top 50% of Level 8 players
16.9%Shot accuracy · Top 25% of Level 8 players
7,472MVPs
1,418Hours (in match)
1,083Bombs planted
553Bombs defused

Most-used weapons

Lifetime map wins

5,192dust2
3,433inferno
1,909nuke
1,401vertigo
660train
530office
124cbble
118lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

268Matches
53%Win rate
1.27Avg K/D
85.7ADR
56%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno5052%1.1717.2
Ancient4243%1.2918.7
Mirage3941%1.1817.6
Anubis3453%1.3720.4
Nuke3358%1.3519.0
Overpass3155%1.2819.7
Vertigo2264%1.3819.2
Dust21283%1.1518.3

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.

22.7%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.4%Spray accuracy
81.5%Counter-strafing
7.1°Preaim
653msReaction time
34.9%T opening success
40.3%CT opening success
0.61Enemies flashed / flash
5.0%Flash assists
8.67HE damage / grenade
3.89Flashes / match

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.

  1. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8858 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 34.8951% — below the 40% mark we flag

Spend your practice time on Overpass

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10.1126%23 Sept →
mirage12–10.0733%23 Sept →
ancient6–130.1319%23 Sept →
cache8–13-0.0217%21 Sept →
inferno6–13-0.0533%21 Sept →
cache13–70.0720%21 Sept →
dust213–8-0.0515%21 Sept →
nuke16–140.0129%20 Sept →
cache13–40.0419%20 Sept →
inferno1–13-0.0967%20 Sept →
cache9–130.0018%18 Jul →
cache15–15-0.0018%10 Jul →
cache13–40.0924%9 Jul →
cache9–13-0.0923%9 Jul →
inferno12–120.0224%8 Jul →
mirage4–13-0.1312%26 Jun →
inferno10–13-0.0220%26 Jun →
mirage6–13-0.0229%26 Jun →
dust24–130.024%14 Jun →
mirage11–60.1631%14 Jun →
dust28–13-0.0320%14 Jun →
nuke13–100.0021%14 Jun →
inferno13–100.0126%13 Jun →
dust213–8-0.0227%13 Jun →
inferno13–40.0720%12 Jun →
dust211–130.0212%12 Jun →
inferno13–30.1229%12 Jun →
nuke13–20.0233%8 May →
anubis12–16-0.0116%8 May →
cache13–70.0421%3 May →
cache13–90.0131%3 May →
cache5–130.0019%3 May →
nuke13–110.0231%1 May →
cache13–70.0218%30 Apr →
cache10–130.0227%29 Apr →
ancient13–10-0.0043%29 Apr →
overpass4–130.0333%29 Apr →
nuke13–110.0742%29 Apr →
inferno6–13-0.0524%29 Apr →
cache12–12-0.0336%29 Apr →
cache13–50.0425%29 Apr →
cache3–10-0.0226%29 Apr →
cache12–120.0839%29 Apr →
anubis10–13-0.0021%23 Apr →
mirage13–11-0.0213%23 Apr →
mirage5–130.0220%23 Apr →
inferno13–30.1022%23 Apr →
ancient10–130.0010%23 Apr →
ancient13–90.0420%15 Apr →
ancient4–13-0.0528%15 Apr →
dust211–13-0.0519%15 Apr →
ancient9–130.0223%15 Apr →
mirage15–15-0.0320%15 Apr →
anubis11–13-0.0215%15 Apr →
dust29–130.0325%15 Apr →
ancient16–140.0122%15 Apr →
nuke16–13-0.0329%15 Apr →
overpass7–13-0.0036%15 Apr →
train8–13-0.0218%15 Apr →
anubis13–6-0.0134%15 Apr →
inferno13–90.0818%15 Apr →
dust213–100.0732%15 Apr →
mirage13–100.0323%11 Apr →
nuke7–13-0.0334%11 Apr →
inferno13–110.0116%11 Apr →
ancient13–10-0.0120%8 Apr →
dust27–130.0221%8 Apr →
ancient13–60.0927%8 Apr →
mirage6–13-0.0217%8 Apr →
inferno8–13-0.0315%8 Apr →
mirage6–13-0.0723%8 Apr →
anubis13–60.0520%8 Apr →
vertigo11–130.0024%8 Apr →
mirage13–100.0224%8 Apr →
ancient9–13-0.0513%8 Apr →
inferno13–10-0.0011%6 Apr →
overpass8–13-0.107%11 Mar →
overpass3–13-0.0433%28 Feb →
inferno4–13-0.006%28 Feb →
vertigo10–13-0.0134%28 Feb →
ancient13–4-0.0517%28 Feb →
dust26–13-0.0831%28 Feb →
nuke13–100.1119%28 Feb →
mirage13–30.0918%27 Feb →
mirage13–100.0120%21 Feb →
nuke14–160.0217%23 Jan →
inferno10–130.1022%31 Dec →
train5–130.0430%31 Dec →
anubis13–110.0818%4 Nov →
inferno13–90.0532%3 Nov →
dust210–13-0.0214%13 Oct →
mirage13–90.0520%12 Oct →
inferno13–9-0.0115%12 Oct →
ancient13–60.0418%12 Oct →
mirage7–13-0.0342%10 Oct →
mirage4–13-0.0512%10 Oct →
nuke7–20.0630%10 Oct →
inferno13–110.0122%10 Oct →
nuke9–13-0.0120%10 Oct →
overpass3–130.0526%10 Oct →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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