Cegelord — CS2 Stats

76561198063468671[U:1:103202943]

1,446Tracked matches59%Win rate2020Tracked since
8,902Hours in CS2Hrs last 2 wks
CSDB Rating3.3 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate37.8%42.2%42.7%4.9% short
Shot accuracy14.7%11.9%10.8%above
Kill/death ratio1.030.981.00above
Match win rate43.7%43.6%44.1%meets

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCegelordFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim18
Positioning30
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY44515Last 10044%Win rateWLLLWWLLWL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Aim1.8
Aggression1.9
Utility5.8
Positioning3.0
Opening Duels0.0
Clutch6.0

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 64% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 725ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.8
Positioning3.0
Utility5.8
Mechanics3.5
Opening Duels0.0
Win Impact8.1

Composite 3.3/10 (Learning), 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 rating-0.02+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time738ms+5ms
first ⅓ avg 733ms → last ⅓ avg 738ms
Headshot accuracy17.4%+3.3%
first ⅓ avg 14.1% → last ⅓ avg 17.4%

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

0.15Best rating — ancient 13–8
131Biggest win — dust2
4Longest win streak
48In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 83% over 6anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B40192148%-0.03
infernoC2071335%-0.04
mirageC145936%-0.03
cacheB105550%-0.02
ancientS65183%-0.02
anubisD51420%-0.06
overpass31233%-0.06
boulder110100%-0.02
nuke1010%-0.03

Across the last 100 tracked matches.

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

Lifetime stats

178,106Lifetime kills
1.03K/D · Top 50% of Level 3 players
9,959Matches
43.7%Match win rate · Top 50% of Level 3 players
37.8%Headshot %
14.7%Shot accuracy · Top 50% of Level 3 players
20,099MVPs
4,284Hours (in match)
12,136Bombs planted
2,705Bombs defused

Most-used weapons

AWP32,201
AK-4728,725
SG 55310,050
P907,680
XM10146,223

Lifetime map wins

57,634dust2
20,049inferno
3,249nuke
1,168cbble
1,028office
932vertigo
810train
357italy

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

Faceit stats

Combat

35Matches
49%Win rate
0.75Avg K/D
55.7ADR
36%Headshot %

Clutches & streaks

50%1v1 clutch win
50%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1060%0.839.4
Mirage367%0.527.3
Ancient333%0.344.3
Nuke250%1.0413.0

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.

16.1%Headshot accuracy
27.4%Accuracy (enemy spotted)
26.5%Spray accuracy
65.9%Counter-strafing
12.5°Preaim
725msReaction time
20.4%T opening success
23.1%CT opening success
0.46Enemies flashed / flash
5.7%Flash assists
5.83HE damage / grenade
20.36Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5214° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 725.1141ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.4551 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Anubis

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.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.036%22 Aug
dust213–16-0.0516%16 Aug
anubis10–130.0016%15 Aug
inferno5–13-0.0317%9 Aug
boulder13–10-0.0216%2 Aug
dust213–7-0.0520%31 Jul
dust210–13-0.019%29 Jul
nuke8–13-0.038%29 Jul
ancient13–10-0.0517%28 Jul
inferno7–130.0615%26 Jul
inferno13–10-0.0711%26 Jul
dust213–50.0019%26 Jul
inferno13–11-0.0921%18 Jul
mirage3–13-0.0513%18 Jul
dust213–60.065%18 Jul
cache13–70.0517%12 Jul
dust22–130.0119%12 Jul
dust212–12-0.0332%12 Jul
mirage16–130.0214%10 Jul
inferno13–9-0.0815%10 Jul
inferno12–12-0.0417%10 Jul
mirage13–100.0415%10 Jul
dust213–80.0113%10 Jul
cache11–13-0.0513%10 Jul
cache12–120.0220%10 Jul
ancient13–80.1522%10 Jul
cache11–13-0.0519%7 Jul
inferno13–6-0.0621%7 Jul
cache11–13-0.0912%7 Jul
cache5–0-0.0260%7 Jul
mirage8–13-0.0512%7 Jul
dust213–1-0.0236%7 Jul
cache13–100.028%5 Jul
cache13–8-0.038%5 Jul
mirage3–13-0.109%5 Jul
dust27–13-0.0117%5 Jul
cache8–13-0.0611%5 Jul
mirage13–11-0.0711%5 Jul
mirage13–100.0010%5 Jul
dust210–13-0.0417%5 Jul
dust28–13-0.0933%5 Jul
inferno13–11-0.025%5 Jul
mirage1–13-0.0915%5 Jul
ancient13–9-0.0417%5 Jul
dust212–12-0.0513%5 Jul
mirage4–13-0.0022%5 Jul
inferno7–13-0.0216%5 Jul
inferno5–130.0529%5 Jul
dust213–10-0.0623%3 Jul
dust22–13-0.0313%3 Jul
dust211–13-0.0615%3 Jul
dust213–60.0221%1 Jul
mirage3–130.0114%1 Jul
inferno9–13-0.077%27 Jun
dust213–6-0.0420%27 Jun
dust29–13-0.0021%27 Jun
dust213–10-0.0913%27 Jun
dust213–90.0219%20 Jun
dust28–13-0.0716%20 Jun
inferno13–7-0.0114%20 Jun
dust25–13-0.0515%20 Jun
inferno10–13-0.0715%20 Jun
inferno7–13-0.057%13 Jun
overpass9–13-0.0719%13 Jun
ancient2–13-0.086%13 Jun
anubis9–13-0.113%13 Jun
dust214–16-0.028%7 Jun
mirage11–13-0.0527%6 Jun
dust213–9-0.078%6 Jun
mirage8–13-0.0319%31 May
dust213–50.0220%31 May
inferno3–13-0.0712%31 May
dust25–13-0.0321%31 May
dust25–13-0.0618%31 May
dust215–150.0114%30 May
overpass10–1-0.0238%30 May
ancient13–8-0.067%30 May
dust213–9-0.0422%24 May
inferno11–13-0.100%24 May
overpass4–13-0.090%24 May
dust213–2-0.055%24 May
dust23–13-0.0815%24 May
dust27–130.0116%17 May
dust22–13-0.0327%17 May
anubis6–13-0.1110%16 May
inferno4–13-0.1212%16 May
dust213–11-0.0512%16 May
anubis3–13-0.076%9 May
inferno13–100.0627%9 May
dust213–9-0.0410%9 May
dust213–8-0.094%3 May
anubis13–8-0.043%3 May
inferno7–13-0.0313%3 May
mirage11–13-0.0419%2 May
dust213–5-0.018%2 May
inferno10–13-0.0324%2 May
cache13–9-0.0214%1 May
ancient13–9-0.0713%1 May
mirage13–80.009%1 May
dust26–13-0.098%1 May

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 →