Cegil

Cegil — CS2 Stats

76561198075566972[U:1:115301244]Steam profile ↗

973Tracked matches50%Win rate2020Tracked since
CSDB Rating3.6 Learning
Premier CS Rating13,405Blue band · top ~36.8% of ranked players (population est.)
CSDB Leaderboard#18568 of 27576 tracked
FaceitLevel 2 · 696 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCegilFACEITLevel 2 · 696 ELOSTANDINGTop 97.9% of rankedPREMIER13,405 · Blue bandcsdb.gg/stats

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Performance scores

Aim32
Positioning38
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY42544Last 10042%Win rateWLWLLWLWWL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim3.2
Aggression4.2
Utility5.7
Positioning3.8
Opening Duels0.0
Clutch1.0

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

NiKo

Plays most like NiKo 77% 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. 621ms 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

Aim3.2
Positioning3.8
Utility5.7
Mechanics4.7
Opening Duels0.0
Win Impact5.0

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time628ms−19ms
first ⅓ avg 647ms → last ⅓ avg 628ms
Headshot accuracy18.6%+4.0%
first ⅓ avg 14.6% → last ⅓ avg 18.6%

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.

Highlights

0.18Best rating — ancient 13–4
130Biggest win — ancient
3Longest win streak
78In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 73% over 11nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2391439%-0.04
infernoB20101050%-0.04
ancientS118373%-0.01
overpassD103730%-0.04
cacheD93633%-0.04
anubisC94544%-0.04
mirageC94544%-0.05
nukeD51420%-0.03
train3030%-0.02
warden1010%-0.04

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.

Faceit stats

Combat

499Matches
48%Win rate
0.85Avg K/D
64.9ADR
38%Headshot %

Clutches & streaks

25%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%0.7710.2
Overpass520%0.6812.0
Ancient540%0.6914.4
Dust2475%0.599.8
Nuke20%0.7813.5
Inferno250%1.2619.5
Cache10%0.406.0
Vertigo10%0.6210.0

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.

18.1%Headshot accuracy
24.3%Accuracy (enemy spotted)
24.0%Spray accuracy
71.0%Counter-strafing
10.4°Preaim
621msReaction time
28.3%T opening success
29.7%CT opening success
0.70Enemies flashed / flash
2.9%Flash assists
7.38HE damage / grenade
7.56Flashes / 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 28.2672% — below the 40% mark we flag

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 & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–6-0.0415%27 Aug
inferno11–13-0.0521%20 Aug
cache13–9-0.0519%20 Aug
dust28–13-0.0413%20 Aug
cache10–13-0.0117%19 Aug
ancient13–110.035%17 Aug
inferno2–13-0.0913%17 Aug
dust213–7-0.0121%17 Aug
cache13–11-0.0217%17 Aug
dust27–13-0.0511%6 Aug
inferno1–13-0.0825%6 Aug
cache8–13-0.0318%6 Aug
inferno13–110.0112%3 Aug
cache6–13-0.0216%3 Aug
dust24–13-0.0916%1 Aug
anubis13–10-0.0210%1 Aug
inferno13–3-0.0041%1 Aug
nuke8–13-0.046%30 Jul
anubis3–13-0.0526%30 Jul
inferno13–5-0.0024%30 Jul
dust213–9-0.0622%12 Jul
ancient13–7-0.0214%12 Jul
dust28–13-0.0724%9 Jul
ancient13–00.0227%9 Jul
inferno13–6-0.0727%9 Jul
anubis3–13-0.0921%9 Jul
overpass11–13-0.0722%3 Jun
mirage16–13-0.0319%1 Jun
inferno9–13-0.0125%1 Jun
ancient13–8-0.0012%20 May
anubis13–9-0.0318%20 May
overpass7–13-0.0925%20 May
ancient13–40.1812%15 May
overpass10–130.0117%12 May
dust213–60.0025%12 May
mirage12–12-0.0514%8 May
cache9–13-0.0623%8 May
inferno6–13-0.0615%8 May
dust213–30.0517%8 May
cache7–13-0.1317%8 May
anubis13–5-0.035%5 May
dust215–15-0.049%1 May
dust211–13-0.0316%30 Apr
cache13–8-0.0816%30 Apr
cache8–130.0419%29 Apr
inferno13–11-0.069%23 Apr
inferno13–3-0.0414%22 Apr
dust211–13-0.0425%22 Apr
inferno13–9-0.0213%20 Apr
nuke10–13-0.0613%20 Apr
inferno6–13-0.0125%19 Apr
overpass14–16-0.0415%3 Apr
dust23–00.0025%3 Apr
ancient13–5-0.0722%2 Apr
inferno11–13-0.0511%2 Apr
mirage6–11-0.0813%2 Apr
train0–7-0.050%2 Apr
mirage10–13-0.086%27 Mar
anubis10–13-0.038%7 Mar
overpass13–8-0.0210%7 Mar
dust213–2-0.0417%7 Mar
inferno14–16-0.0411%6 Mar
dust210–13-0.0226%6 Mar
ancient6–13-0.0710%3 Mar
inferno13–11-0.0414%3 Mar
anubis5–13-0.0613%3 Mar
mirage13–7-0.0516%28 Jan
dust24–13-0.0835%28 Jan
warden12–12-0.0412%27 Jan
mirage13–4-0.026%27 Jan
nuke6–13-0.0411%26 Jan
dust213–70.0013%26 Jan
mirage10–13-0.0510%26 Jan
anubis11–13-0.0223%23 Jan
train10–130.0011%9 Jan
inferno13–2-0.0317%9 Jan
dust26–13-0.083%9 Jan
ancient13–9-0.0423%6 Jan
overpass13–4-0.0212%6 Jan
dust213–8-0.0215%6 Jan
dust25–13-0.014%2 Jan
ancient9–13-0.039%2 Jan
mirage13–10-0.0127%30 Dec
inferno13–5-0.0124%30 Dec
dust216–14-0.0216%29 Dec
inferno8–13-0.0210%29 Dec
nuke10–130.0218%29 Dec
overpass6–13-0.0812%29 Dec
dust23–13-0.039%25 Dec
anubis13–11-0.0511%25 Dec
ancient6–13-0.0613%25 Dec
train12–12-0.0217%10 Dec
overpass13–10-0.0314%9 Dec
dust24–13-0.0415%9 Dec
overpass10–13-0.039%6 Dec
inferno0–13-0.0924%6 Dec
overpass15–19-0.0413%26 Nov
mirage10–13-0.0821%17 Nov
dust25–13-0.1020%17 Nov
ancient13–7-0.026%17 Nov

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 →