✪ Syckling

✪ Syckling — CS2 Stats

SE76561198080520670[U:1:120254942]Steam profile ↗✓ No bans

1,027Tracked matches62%Win rate2020Tracked since
5,958Hours in CS4Hrs last 2 wks
CSDB Rating6.0 SolidAll-Rounder
Premier CS Rating23,501Top 25% of 200,982 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#36079 of 247916 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,501 → 23,501
+1Tracked matches · now 1,027
+3.8ppWin rate · 57.7% → 61.5%

Rating over time

Premier CS Rating: 23,501 -3,722 14 Apr – 12 Sept · 35 days played
22,57827,223peak 27,22314 Apr12 Sept
27,223Peak Premier in tracked matches
49Days played since 2026-04-14

Premier CS Rating

  • 3,722 below peak (27,223)
  • 0 over 30 days · steady
  • -2,372 over 90 days
  • Next: Red band at 25,000 — 1,499 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 24 Sep 2026 and 2 Oct 2026.

Measured 24 Sep 2026 → 2 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches12——
Win rate58%——
K/D1.12——
Headshot %49%——

Measured 2 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate52.0%46.9%49.2%above
Shot accuracy15.0%13.0%13.4%above
Kill/death ratio1.561.081.12above
Match win rate79.2%46.7%48.5%above

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

Share this profile

CSDB.GG✪ SycklingPREMIER23,501 · Pink bandcsdb.gg/stats

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Performance scores

Aim56
Positioning60
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY46–42–12Last 10046%Win rateWWWWWLWLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +3.7pp headshot accuracy · −25ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 28%
  • Avg reaction 597ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 27%
  • Avg reaction 630ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 643ms

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.

Aim5.6
Utility5.6
Positioning6.0
Opening Duels4.3
Clutch6.0

Strong 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.

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

jL

Plays most like jL 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms 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

Aim5.6
Positioning6.0
Utility5.6
Mechanics5.7
Opening Duels4.0
Win Impact8.8

Composite 6.0/10 (Solid), 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

Match rating0.02+0.04
first ⅓ avg -0.02 → last ⅓ avg 0.02
Reaction time641ms+35ms
first ⅓ avg 606ms → last ⅓ avg 641ms
Headshot accuracy22.3%+3.3%
first ⅓ avg 19.0% → last ⅓ avg 22.3%

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

0.46Best match rating · 9–0 · inferno, 13 Aug →
46%Best headshot accuracy · 9–0 · inferno, 13 Aug →
422msFastest reaction time · 7–13 · nuke, 9 Jun →
13–1Biggest win · nuke, 17 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
13–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

vertigoBest map · 80% over 5dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC239–1439%-0.03
nukeC198–1142%-0.01
infernoA138–562%0.01
cacheA116–555%-0.00
dust2C83–538%-0.02
overpassS64–267%0.00
vertigoS54–180%0.02
ancient—22–0100%0.07
boulder—20–20%0.00
anubis—21–150%-0.00
alpine—21–150%0.03
train—10–10%-0.07
italy—10–10%0.05
shelter—10–10%0.19
fachwerk—10–10%0.01
stronghold—10–10%-0.01
warden—10–10%-0.01
poseidon—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

183,616Lifetime kills
1.56K/D · Top 5% of Pink band
21,025Matches
79.2%Match win rate · Top 1% of Pink band
52.0%Headshot % · Top 50% of Pink band
15.0%Shot accuracy · Top 50% of Pink band
11,909MVPs
2,123Hours (in match)
4,401Bombs planted
1,245Bombs defused

Most-used weapons

AWP26,791
AK-4726,428
P25010,526
Negev5,363
Nova5,190
Knife4,926
Tec-94,702

Lifetime map wins

6,779dust2
4,728inferno
4,018nuke
1,726vertigo
1,555train
1,243cbble
369office
308italy

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

Faceit stats

Combat

99Matches
52%Win rate
1.09Avg K/D
75.1ADR
37%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage580%1.1215.8
Inferno250%0.907.0

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.

22.3%Headshot accuracy
30.0%Accuracy (enemy spotted)
32.8%Spray accuracy
75.6%Counter-strafing
10.4°Preaim
634msReaction time
31.3%T opening success
61.0%CT opening success
0.52Enemies flashed / flash
7.6%Flash assists
6.31HE damage / grenade
15.47Flashes / 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. 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 31.3306% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–110.0115%23 Sept →
cache13–9-0.0332%16 Aug →
mirage13–80.0324%15 Aug →
inferno9–00.4646%13 Aug →
mirage13–110.0424%13 Aug →
mirage11–13-0.0519%13 Aug →
vertigo13–80.0319%11 Aug →
dust29–13-0.0028%9 Aug →
nuke2–13-0.0229%9 Aug →
train2–13-0.0729%9 Aug →
mirage13–10-0.0423%8 Aug →
ancient13–30.0813%6 Aug →
nuke8–130.0127%6 Aug →
italy12–120.0535%6 Aug →
inferno13–90.0315%31 Jul →
dust216–14-0.0225%30 Jul →
vertigo13–90.0514%30 Jul →
boulder12–12-0.0338%30 Jul →
boulder11–130.0417%28 Jul →
vertigo8–30.0221%28 Jul →
shelter12–120.1932%27 Jul →
fachwerk8–130.0125%22 Jul →
vertigo0–13-0.040%22 Jul →
dust213–60.0518%20 Jul →
mirage2–13-0.1120%17 Jul →
nuke15–15-0.0220%14 Jul →
anubis13–50.019%14 Jul →
nuke13–110.0014%12 Jul →
cache13–50.0235%12 Jul →
inferno13–30.0214%12 Jul →
cache4–13-0.0419%12 Jul →
mirage11–13-0.1028%12 Jul →
mirage8–13-0.078%12 Jul →
inferno8–13-0.0221%12 Jul →
inferno13–11-0.0216%11 Jul →
cache13–100.0031%9 Jul →
cache13–110.0118%9 Jul →
cache8–13-0.0721%9 Jul →
mirage13–50.0426%9 Jul →
nuke13–80.0425%9 Jul →
cache7–130.0026%9 Jul →
inferno13–60.0419%2 Jul →
mirage13–9-0.0217%2 Jul →
nuke16–140.0411%2 Jul →
anubis9–13-0.0118%2 Jul →
overpass16–13-0.0121%30 Jun →
mirage10–13-0.0118%30 Jun →
dust213–80.0416%21 Jun →
mirage10–13-0.0213%21 Jun →
inferno13–6-0.0312%18 Jun →
stronghold12–12-0.0138%16 Jun →
inferno5–13-0.0619%15 Jun →
alpine10–130.0625%13 Jun →
dust25–13-0.0336%11 Jun →
overpass13–3-0.0033%11 Jun →
inferno10–7-0.0611%11 Jun →
inferno10–13-0.0718%10 Jun →
mirage9–130.0017%10 Jun →
inferno7–13-0.0618%9 Jun →
nuke7–13-0.028%9 Jun →
mirage15–150.0540%8 Jun →
overpass13–5-0.0211%4 Jun →
nuke16–14-0.0812%3 Jun →
mirage11–130.0019%31 May →
warden9–13-0.0123%31 May →
alpine13–11-0.0013%31 May →
cache10–130.0421%31 May →
nuke11–13-0.0120%26 May →
nuke13–8-0.0219%23 May →
mirage13–9-0.0812%20 May →
overpass10–13-0.0017%20 May →
mirage13–10-0.0713%19 May →
nuke15–150.0118%19 May →
mirage10–130.0119%19 May →
nuke13–7-0.0333%17 May →
nuke13–10.0325%17 May →
mirage12–16-0.1019%17 May →
inferno13–11-0.0319%14 May →
mirage4–130.0220%14 May →
nuke16–140.0427%14 May →
dust215–15-0.0620%11 May →
cache13–20.0216%9 May →
cache13–100.0121%9 May →
dust29–13-0.0328%7 May →
mirage13–11-0.0530%6 May →
dust22–13-0.0821%6 May →
cache12–12-0.0417%5 May →
nuke5–130.0020%26 Apr →
nuke15–150.0026%26 Apr →
nuke12–16-0.0121%25 Apr →
inferno2–13-0.0427%25 Apr →
overpass13–160.0419%25 Apr →
nuke3–13-0.0510%25 Apr →
ancient13–60.0614%24 Apr →
poseidon8–80.0313%24 Apr →
nuke0–9-0.1917%24 Apr →
overpass13–100.0019%23 Apr →
mirage15–15-0.0119%23 Apr →
mirage11–13-0.067%23 Apr →
mirage13–11-0.016%14 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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