Ciggyyy

Ciggyyy — CS2 Stats

AF76561198140341084[U:1:180075356]Steam profile ↗✓ No bans

4,814Tracked matches50%Win rate2021Tracked since
7,069Hours in CS27Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating26,339Top 10% of 213,399 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#11114 of 259985 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,339 +838 22 Aug – 4 Nov · 26 days played
25,14927,714peak 27,71422 Aug4 Nov
27,839Peak Premier in tracked matches
45Days played since 2026-08-22

Premier CS Rating

  • 1,375 below peak (27,714)
  • +646 over 30 days · improving
  • Next: Gold band at 30,000 — 3,661 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate42.7%50.9%
Shot accuracy12.9%13.7%
Kill/death ratio1.211.09
Match win rate59.4%48.4%

Share this profile

CSDB.GGCiggyyyFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER26,339 · Red bandcsdb.gg/stats

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Performance scores

Aim82
Positioning59
Utility38

0–100 skill scores via Leetify.

Recent form

HOT59–41Last 10059%Win rateWWWWWWWWWL

Last 10 vs previous 10: +60pp win rate · −0.02 avg rating · −0.4pp headshot accuracy · +34ms reaction

Win rate up 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 592ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 558ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 541ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim8.2
Utility3.8
Positioning5.9
Opening Duels3.8
Clutch3.8

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

donk

Plays most like donk 93% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower 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

Areas to improve

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

Reaction time. 552ms 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

Aim8.2
Positioning5.9
Utility3.8
Mechanics5.8
Opening Duels5.0
Win Impact5.0

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time538ms+6ms
first ⅓ avg 532ms → last ⅓ avg 538ms
Headshot accuracy23.6%−1.3%
first ⅓ avg 25.0% → last ⅓ avg 23.6%

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

0.18Best match rating · 13–6 · inferno, 24 Aug →
67%Best headshot accuracy · 2–13 · dust2, 5 Oct →
266msFastest reaction time · 0–3 · inferno, 11 Sept →
13–0Biggest win · dust2, 11 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W9Current streak
6–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 71% over 34nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S3424–1071%0.01
mirageA2717–1063%0.00
infernoC114–736%0.01
cacheS96–367%0.01
anubisB84–450%0.00
ancientB63–350%-0.01
nukeD51–420%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

167,882Lifetime kills
1.21K/D · Top 25% of Level 10 players
8,505Matches
59.4%Match win rate · Top 5% of Level 10 players
42.7%Headshot %
12.9%Shot accuracy
21,440MVPs
3,407Hours (in match)
8,611Bombs planted
1,588Bombs defused

Most-used weapons

AWP47,560
AK-4741,316
SSG 083,656
FAMAS2,693
Knife2,508

Lifetime map wins

37,098dust2
9,897inferno
3,667vertigo
3,439nuke
1,137train
502office
270cbble
71lake

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

Faceit stats

Combat

1,220Matches
53%Win rate
1.08Avg K/D
75.3ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
16%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage15653%0.9615.0
Dust214559%1.1016.3
Anubis9039%0.9015.0
Ancient4846%0.8913.8
Vertigo3861%0.9715.5
Inferno2450%1.0816.5
Cache2065%1.4016.8
Nuke1861%0.9415.9

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.

24.3%Headshot accuracy
35.5%Accuracy (enemy spotted)
35.2%Spray accuracy
76.1%Counter-strafing
7.8°Preaim
552msReaction time
44.3%T opening success
55.9%CT opening success
0.48Enemies flashed / flash
6.3%Flash assists
4.46HE damage / grenade
6.50Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4827 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0026%4 Nov →
dust213–110.0012%4 Nov →
ancient13–10-0.0816%4 Nov →
mirage13–60.0119%4 Nov →
dust213–4-0.0226%4 Nov →
inferno13–9-0.0828%4 Nov →
mirage13–60.0226%4 Nov →
anubis13–80.0220%31 Oct →
dust213–11-0.0319%30 Oct →
dust212–16-0.0138%27 Oct →
ancient9–130.0729%26 Oct →
mirage13–60.0819%25 Oct →
anubis13–100.0521%25 Oct →
anubis9–130.0220%22 Oct →
dust210–13-0.0125%21 Oct →
mirage13–11-0.0622%16 Oct →
dust23–13-0.0426%16 Oct →
ancient6–13-0.0521%15 Oct →
cache16–19-0.0120%14 Oct →
anubis13–160.0030%10 Oct →
nuke13–11-0.0222%10 Oct →
mirage9–13-0.0419%8 Oct →
nuke7–13-0.053%7 Oct →
mirage7–13-0.1054%6 Oct →
dust217–19-0.0028%6 Oct →
anubis13–8-0.0119%6 Oct →
mirage6–13-0.0217%5 Oct →
dust22–13-0.0567%5 Oct →
mirage13–40.0624%5 Oct →
nuke1–13-0.0820%28 Sept →
nuke0–13-0.090%27 Sept →
mirage16–14-0.0416%27 Sept →
inferno17–190.0228%26 Sept →
mirage15–19-0.0228%25 Sept →
mirage10–130.0737%24 Sept →
mirage13–100.0024%24 Sept →
dust213–100.0315%24 Sept →
mirage13–70.0223%22 Sept →
cache13–70.0637%22 Sept →
cache13–40.0229%21 Sept →
dust213–100.0124%21 Sept →
mirage13–60.0122%20 Sept →
dust213–30.0235%19 Sept →
inferno8–130.0714%19 Sept →
cache9–13-0.0414%17 Sept →
ancient13–100.0833%17 Sept →
dust216–12-0.0313%17 Sept →
inferno3–13-0.0730%16 Sept →
cache16–13-0.0556%14 Sept →
dust23–13-0.0043%14 Sept →
cache13–60.0222%13 Sept →
inferno6–13-0.0118%13 Sept →
mirage13–100.0419%12 Sept →
inferno0–3-0.0150%11 Sept →
dust213–00.0636%11 Sept →
mirage13–4-0.0121%11 Sept →
dust213–60.0724%11 Sept →
inferno13–40.0933%11 Sept →
cache10–130.0326%10 Sept →
dust26–13-0.0141%8 Sept →
nuke0–13-0.0617%7 Sept →
dust211–130.007%7 Sept →
mirage13–10-0.0123%7 Sept →
mirage5–13-0.0519%7 Sept →
dust213–90.0620%7 Sept →
dust25–13-0.0143%6 Sept →
mirage13–9-0.0123%6 Sept →
dust213–20.0846%6 Sept →
mirage13–40.0348%6 Sept →
dust22–130.1032%4 Sept →
cache13–70.0326%4 Sept →
dust213–20.0542%4 Sept →
inferno13–6-0.0144%4 Sept →
dust213–80.0524%4 Sept →
mirage11–13-0.009%2 Sept →
dust213–4-0.0431%2 Sept →
dust213–60.0316%1 Sept →
dust213–9-0.0215%30 Aug →
anubis10–13-0.0124%29 Aug →
mirage13–80.0225%29 Aug →
mirage13–50.0321%29 Aug →
dust213–40.1023%29 Aug →
dust213–100.0117%29 Aug →
mirage10–130.0725%29 Aug →
mirage2–13-0.0315%29 Aug →
mirage9–130.0421%29 Aug →
cache16–14-0.0217%28 Aug →
dust213–10-0.0026%28 Aug →
ancient13–5-0.0117%28 Aug →
ancient10–13-0.0518%28 Aug →
anubis13–6-0.0823%28 Aug →
inferno4–13-0.0223%25 Aug →
anubis11–130.0418%25 Aug →
inferno13–60.1836%24 Aug →
dust213–50.0118%23 Aug →
dust213–7-0.0331%23 Aug →
mirage13–8-0.0219%23 Aug →
inferno6–13-0.0428%23 Aug →
dust213–30.0418%22 Aug →
dust216–13-0.0126%22 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.