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ego_death — CS2 Stats

76561198967873407[U:1:1007607679]✓ No bans

4,740Tracked matches40%Win rate2020Tracked since
8,403Hours in CS
CSDB Rating4.5 DevelopingSupport
Premier CS Rating16,074Purple band · top ~24.1% of ranked players (population est.)
CSDB Leaderboard#30579 of 54253 tracked
FaceitLevel 10 · 2,013 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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 rate54.3%51.9%
Shot accuracy4.8%13.7%
Kill/death ratio0.861.08
Match win rate46.2%48.7%

Share this profile

CSDB.GGego_deathFACEITLevel 10 · 2,013 ELOSTANDINGTop 12.4% of rankedPREMIER16,074 · Purple bandcsdb.gg/stats

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Performance scores

Aim54
Positioning45
Utility79

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLWWLLWLWLW

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim5.4
Aggression4.5
Utility7.9
Positioning4.5
Opening Duels1.1
Clutch3.4

High utility contribution

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

Twistzz

Plays most like Twistzz 82% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

Counter-strafing. Only 65% 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

Aim5.4
Positioning4.5
Utility7.9
Mechanics3.2
Opening Duels1.1
Win Impact1.7

Composite 4.5/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time545ms−20ms
first ⅓ avg 565ms → last ⅓ avg 545ms
Headshot accuracy17.8%+0.2%
first ⅓ avg 17.6% → last ⅓ avg 17.8%

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.

Highlights

0.09Best rating — inferno 13–6
13–1Biggest win — nuke
5Longest win streak
5–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 72% over 18anubisWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
ancientB2714–1352%-0.01
infernoS1813–572%-0.01
mirageC188–1044%-0.00
anubisD175–1229%-0.03
dust2S75–271%-0.03
nukeB63–350%0.01
cache—40–40%-0.02
overpass—31–233%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

158,410Lifetime kills
0.86K/D
6,847Matches
46.2%Match win rate
54.3%Headshot % · Top 50% of Level 10 players
4.8%Shot accuracy
15,651MVPs
8,403Hours (in match)
8,175Bombs planted
1,830Bombs defused

Most-used weapons

AK-4770,160
M4A4 / M4A1-S23,542
Desert Eagle9,148
MP96,850
MAC-105,758
P2000 / USP-S5,754
AWP5,459
Glock-184,045
Dual Berettas4,043
Knife3,141

Lifetime map wins

8,151inferno
6,941nuke
4,708dust2
4,281vertigo
1,123train
651office
293cbble
130lake

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

Faceit stats

Combat

3,409Matches
50%Win rate
0.95Avg K/D
76.1ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient89554%0.9614.8
Anubis80255%0.9614.4
Mirage54845%0.9014.2
Inferno33745%0.9913.9
Dust222346%0.8614.1
Vertigo20254%0.9715.5
Nuke14047%0.9614.6
Overpass9040%0.9413.8

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.

18.0%Headshot accuracy
30.4%Accuracy (enemy spotted)
37.6%Spray accuracy
64.6%Counter-strafing
10.5°Preaim
544msReaction time
34.5%T opening success
34.3%CT opening success
0.69Enemies flashed / flash
14.9%Flash assists
10.84HE damage / grenade
20.24Flashes / 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 34.4608% — below the 40% mark we flag

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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0726%27 Aug →
inferno13–10-0.0122%25 Aug →
mirage16–12-0.0518%19 Aug →
mirage5–13-0.0215%18 Aug →
anubis11–13-0.0414%10 Aug →
inferno13–5-0.0017%10 Aug →
inferno8–13-0.0521%2 Aug →
mirage13–11-0.0119%1 Aug →
inferno10–13-0.0515%30 Jul →
ancient13–8-0.0131%30 Jul →
mirage11–130.0117%30 Jul →
mirage13–110.0713%28 Jul →
anubis13–9-0.0821%27 Jul →
cache12–160.0025%21 Jul →
ancient13–7-0.0519%19 Jul →
ancient8–13-0.0131%19 Jul →
ancient13–90.0318%13 Jul →
ancient11–13-0.0714%10 Jul →
cache7–13-0.0319%9 Jul →
mirage10–13-0.0317%1 Jul →
inferno4–13-0.0525%30 Jun →
ancient9–13-0.0220%25 Jun →
inferno13–50.0112%25 Jun →
anubis6–130.017%24 Jun →
ancient16–190.0114%22 Jun →
overpass3–13-0.076%21 Jun →
dust210–13-0.0620%20 Jun →
ancient13–60.007%20 Jun →
dust213–11-0.0420%17 Jun →
mirage8–13-0.0416%17 Jun →
dust219–17-0.0613%17 Jun →
ancient13–40.0721%16 Jun →
inferno13–100.0116%14 Jun →
inferno13–10-0.0512%14 Jun →
inferno13–100.0119%13 Jun →
inferno6–13-0.0414%12 Jun →
anubis3–13-0.1110%10 Jun →
overpass13–10-0.0325%9 Jun →
anubis16–19-0.0412%9 Jun →
inferno16–130.0324%8 Jun →
ancient13–5-0.0111%8 Jun →
ancient11–13-0.0313%8 Jun →
ancient10–13-0.0314%8 Jun →
anubis13–60.0114%7 Jun →
mirage13–90.0615%7 Jun →
ancient13–80.0216%4 Jun →
cache4–13-0.0332%4 Jun →
ancient8–13-0.0221%2 Jun →
ancient18–22-0.0313%1 Jun →
ancient16–13-0.0513%1 Jun →
inferno13–10-0.0319%31 May →
anubis13–40.0111%30 May →
inferno13–80.0413%27 May →
anubis4–130.029%25 May →
mirage6–130.0516%24 May →
dust213–10-0.0325%24 May →
mirage13–90.039%23 May →
mirage13–8-0.017%22 May →
anubis8–130.0315%20 May →
mirage7–13-0.048%19 May →
ancient6–13-0.0324%19 May →
mirage13–100.0411%19 May →
anubis11–130.0015%18 May →
ancient13–90.0218%18 May →
nuke4–13-0.0619%18 May →
anubis13–80.0018%18 May →
inferno17–19-0.0116%17 May →
nuke13–1-0.0318%14 May →
anubis10–13-0.0619%9 May →
overpass10–13-0.100%9 May →
nuke8–13-0.018%9 May →
ancient13–80.0034%6 May →
mirage8–13-0.0220%6 May →
dust213–110.0015%6 May →
ancient13–2-0.0629%6 May →
nuke13–50.0858%6 May →
mirage4–13-0.1129%5 May →
cache7–13-0.036%5 May →
anubis2–13-0.096%4 May →
ancient15–190.009%4 May →
ancient15–19-0.0115%27 Apr →
anubis7–13-0.0512%26 Apr →
inferno13–9-0.0220%17 Apr →
ancient13–80.0512%16 Apr →
ancient13–160.0120%16 Apr →
inferno13–10-0.0216%12 Apr →
dust213–20.0226%8 Apr →
nuke13–70.0013%3 Apr →
ancient13–90.0115%15 Mar →
ancient13–60.0212%11 Mar →
mirage10–13-0.0316%9 Mar →
dust28–13-0.0120%7 Mar →
anubis7–13-0.0327%5 Mar →
anubis11–130.0113%5 Mar →
mirage13–100.0416%3 Mar →
ancient13–160.0216%3 Mar →
inferno13–60.0926%3 Mar →
inferno13–6-0.0311%2 Mar →
anubis13–9-0.0216%2 Mar →
mirage5–130.0210%1 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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