_egoisto- — CS2 Stats

76561198218633584[U:1:258367856]

1,125Tracked matches40%Win rate2020Tracked since
3,212Hours in CS20Hrs last 2 wks
CSDB Rating5.2 DevelopingPassive Rifler
FaceitLevel 10 · 2,703 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 rate66.6%52.0%
Shot accuracy10.8%13.7%
Kill/death ratio0.801.08
Match win rate47.9%48.8%

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CSDB.GG_egoisto-FACEITLevel 10 · 2,703 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning50
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY45541Last 10045%Win rateLWWLLLWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.6
Aggression4.3
Utility4.7
Positioning5.0
Opening Duels1.2
Clutch3.4

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 89% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 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

Aim7.6
Positioning5.0
Utility4.7
Mechanics5.4
Opening Duels1.2
Win Impact1.7

Composite 5.2/10 (Developing), 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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time554ms−73ms
first ⅓ avg 626ms → last ⅓ avg 554ms
Headshot accuracy28.7%+2.5%
first ⅓ avg 26.2% → last ⅓ avg 28.7%

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 — inferno 13–5
132Biggest win — overpass
7Longest win streak
712In matches decided by ≤2 rounds
18Overtime games

Map breakdown

nukeBest map · 75% over 8anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB21111052%0.02
mirageD1961332%0.01
dust2A1710759%0.01
anubisD103730%0.00
ancientD93633%-0.00
nukeS86275%-0.00
trainB84450%0.01
overpass41325%0.02
cache2020%-0.03
vertigo21150%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,250Lifetime kills
0.80K/D
2,915Matches
47.9%Match win rate
66.6%Headshot % · Top 10% of Level 10 players
10.8%Shot accuracy
8,820MVPs
5,738Hours (in match)
4,423Bombs planted
745Bombs defused

Most-used weapons

AK-4742,594
AWP7,812
Knife1,511

Lifetime map wins

7,323inferno
7,210dust2
1,679nuke
1,182vertigo
1,020train
13office
12ar_shoots
6safehouse

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

Faceit stats

Combat

2,150Matches
51%Win rate
1.27Avg K/D
84.4ADR
58%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust234754%1.2417.8
Inferno25852%1.2618.4
Mirage23846%1.1617.9
Ancient18548%1.1618.6
Anubis8050%1.1517.4
Nuke6752%1.2117.6
Train4058%1.1618.5
Overpass2646%1.1117.0

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.

28.7%Headshot accuracy
32.4%Accuracy (enemy spotted)
36.0%Spray accuracy
74.3%Counter-strafing
10.4°Preaim
552msReaction time
32.1%T opening success
37.5%CT opening success
0.63Enemies flashed / flash
5.4%Flash assists
4.66HE damage / grenade
7.91Flashes / 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 32.1342% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–130.0136%21 Aug
ancient13–8-0.0429%8 Aug
dust213–8-0.0457%8 Aug
mirage5–13-0.067%7 Aug
anubis10–130.0637%7 Aug
mirage7–13-0.0617%7 Aug
mirage13–90.0430%7 Aug
inferno13–110.0746%1 Aug
inferno9–130.0236%26 Jul
dust29–13-0.0238%26 Jul
inferno13–100.0643%26 Jul
mirage8–130.0420%27 Jun
dust215–19-0.0221%27 Jun
mirage13–8-0.0328%27 Jun
cache3–13-0.0829%14 Jun
mirage9–130.0326%7 Jun
ancient11–13-0.0429%30 May
ancient10–13-0.0224%21 May
dust25–13-0.0335%12 May
nuke13–6-0.0428%7 May
cache14–160.0222%5 May
inferno16–14-0.0230%28 Apr
dust213–7-0.0129%28 Apr
nuke13–60.0633%21 Apr
inferno3–13-0.0227%12 Apr
dust211–130.0121%28 Mar
anubis13–16-0.0016%28 Mar
anubis9–13-0.0310%27 Mar
anubis16–140.0729%27 Mar
dust213–50.0533%27 Mar
nuke9–13-0.0237%20 Mar
mirage12–160.0024%16 Mar
inferno10–13-0.0421%11 Mar
inferno14–16-0.0240%7 Mar
inferno6–130.0923%4 Mar
inferno11–130.0431%27 Feb
ancient13–30.0227%27 Feb
mirage16–130.0421%26 Feb
mirage14–160.0018%23 Feb
dust213–100.0222%31 Jan
mirage11–130.0828%20 Jan
nuke9–13-0.0527%20 Jan
mirage11–130.0627%19 Jan
inferno16–14-0.0118%28 Dec
train4–13-0.0336%22 Dec
mirage7–13-0.0015%28 Nov
overpass6–13-0.0317%17 Nov
dust213–10-0.0024%17 Nov
ancient9–130.0216%12 Nov
dust213–80.1331%4 Nov
ancient9–130.0826%3 Nov
mirage17–19-0.0224%29 Oct
inferno13–50.0324%29 Oct
inferno4–13-0.0342%26 Oct
inferno13–60.0624%25 Oct
inferno19–15-0.0426%22 Oct
mirage14–16-0.0131%20 Oct
inferno5–13-0.078%19 Oct
dust213–100.0234%19 Oct
anubis13–4-0.0311%17 Oct
nuke16–140.0130%15 Oct
overpass13–20.1122%29 Sept
nuke13–60.0424%29 Sept
mirage13–90.0220%27 Sept
train2–13-0.0036%26 Sept
dust213–10-0.0126%25 Sept
nuke13–90.0223%23 Sept
ancient5–130.0425%16 Sept
train6–13-0.0730%16 Sept
anubis4–130.0029%16 Sept
dust25–13-0.0228%4 Sept
inferno6–13-0.0216%19 Aug
inferno14–16-0.0122%12 Aug
overpass6–13-0.0546%12 Aug
dust213–20.0141%30 Jul
inferno13–50.1524%29 Jul
overpass5–130.0331%24 Jul
train3–13-0.0324%22 Jul
dust24–13-0.0231%7 Jul
anubis14–160.0025%7 Jul
vertigo3–13-0.0324%3 Jul
dust210–130.0118%30 Jun
anubis1–130.0135%29 Jun
mirage13–110.0010%18 Jun
ancient10–13-0.0624%18 Jun
train13–50.0223%17 Jun
train13–90.0734%7 Jun
train13–100.0824%23 May
anubis13–60.0221%17 May
inferno13–9-0.0020%14 May
nuke13–3-0.0315%14 May
vertigo13–50.0530%14 May
anubis8–13-0.0619%8 May
dust213–50.0235%6 May
mirage12–120.0118%6 May
ancient13–10-0.0026%6 May
train13–80.0430%6 May
inferno16–130.0519%1 May
mirage13–30.1040%25 Apr
inferno16–140.0328%25 Apr

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →