codex — CS2 Stats

76561198862236380[U:1:901970652]

1,806Tracked matches53%Win rate2020Tracked since
1,664Hours in CS
CSDB Rating3.8 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate39.9%42.5%44.2%4.3% short
Shot accuracy12.9%10.9%11.2%above
Kill/death ratio0.800.991.040.24 short
Match win rate43.5%44.2%45.3%1.8% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcodexFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim26
Positioning36
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY42571Last 10042%Win rateWWLWWLWLLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Aim2.6
Aggression4.1
Utility6.7
Positioning3.6
Opening Duels0.9
Clutch2.4

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 77% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim2.6
Positioning3.6
Utility6.7
Mechanics4.1
Opening Duels0.9
Win Impact6.1

Composite 3.8/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time631ms−51ms
first ⅓ avg 682ms → last ⅓ avg 631ms
Headshot accuracy16.6%+2.3%
first ⅓ avg 14.4% → last ⅓ avg 16.6%

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

0.14Best rating — vertigo 13–3
132Biggest win — vertigo
5Longest win streak
W2Current streak
311In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 67% over 15nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
vertigoC2181338%-0.04
infernoB168850%-0.03
mirageS1510567%-0.02
ancientB137654%-0.05
anubisD124833%-0.04
nukeD123925%-0.04
overpassD62433%-0.05
dust23030%-0.04
train2020%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,090Lifetime kills
0.80K/D
3,793Matches
43.5%Match win rate
39.9%Headshot %
12.9%Shot accuracy · Top 50% of Level 4 players
7,472MVPs
1,664Hours (in match)
3,094Bombs planted
876Bombs defused

Most-used weapons

AK-4715,701
AWP5,434
AUG2,469
MP92,468
MAC-102,417

Lifetime map wins

10,921inferno
5,922nuke
5,914vertigo
3,853dust2
819train
23office
14lake
13cbble

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

Faceit stats

Combat

1,938Matches
50%Win rate
0.79Avg K/D
71.8ADR
40%Headshot %

Clutches & streaks

32%1v1 clutch win
15%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo22455%0.8713.9
Inferno18652%0.7712.7
Nuke15257%0.9115.3
Anubis11353%0.7912.6
Ancient10844%0.7812.6
Mirage10639%0.8313.2
Overpass5556%0.7712.2
Dust24939%0.7012.0

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.

16.5%Headshot accuracy
28.3%Accuracy (enemy spotted)
24.0%Spray accuracy
68.5%Counter-strafing
12.8°Preaim
633msReaction time
32.3%T opening success
35.2%CT opening success
0.59Enemies flashed / flash
4.8%Flash assists
4.95HE damage / grenade
10.18Flashes / 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 12.7854° — above the 12° mark we flag

    Aim Training
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–110.0530%23 Feb
inferno13–40.1224%22 Feb
train5–13-0.0621%24 Jan
mirage16–13-0.0514%21 Jan
mirage13–30.1219%18 Jan
inferno9–13-0.046%14 Jan
vertigo13–4-0.0323%12 Jan
inferno6–13-0.069%11 Jan
anubis7–13-0.0111%7 Jan
dust213–16-0.0621%6 Jan
dust213–16-0.0215%28 Dec
nuke13–16-0.0126%27 Dec
ancient8–13-0.0821%17 Dec
anubis13–4-0.0814%9 Dec
ancient13–10-0.0314%9 Dec
inferno14–16-0.0621%9 Dec
inferno13–90.0212%8 Dec
inferno13–7-0.0316%21 Nov
train14–16-0.0319%14 Nov
inferno2–13-0.0520%14 Oct
vertigo13–80.0229%7 Oct
vertigo13–10-0.0718%1 Oct
nuke4–9-0.1013%27 Sept
inferno13–9-0.0211%25 Sept
nuke11–13-0.0715%23 Sept
inferno13–10-0.0712%16 Sept
nuke13–11-0.0512%28 Aug
vertigo10–13-0.1018%28 Aug
nuke13–10-0.0211%26 Aug
ancient16–13-0.0910%26 Aug
vertigo14–16-0.0210%28 Jul
ancient13–10-0.0219%24 Jul
inferno8–8-0.0219%1 Jul
nuke5–13-0.048%8 Jun
vertigo2–8-0.130%24 May
dust27–13-0.0515%20 May
anubis6–13-0.0416%1 May
anubis9–13-0.0621%24 Apr
vertigo13–2-0.0610%10 Mar
mirage13–60.0417%10 Mar
nuke11–13-0.0313%9 Mar
overpass9–13-0.0520%9 Mar
vertigo5–13-0.1212%9 Mar
overpass5–13-0.0415%28 Feb
vertigo10–13-0.0316%28 Feb
anubis13–6-0.0716%28 Feb
vertigo11–13-0.0514%28 Feb
ancient9–13-0.0713%28 Feb
overpass4–13-0.058%28 Feb
vertigo14–16-0.0512%27 Feb
mirage6–13-0.067%27 Feb
anubis7–13-0.0223%27 Feb
vertigo13–80.0219%27 Feb
nuke13–40.0423%27 Feb
ancient5–13-0.093%25 Feb
inferno13–50.0129%25 Feb
vertigo2–13-0.109%25 Feb
vertigo9–130.0116%25 Feb
vertigo13–9-0.0424%25 Feb
anubis4–13-0.1014%24 Feb
anubis13–50.0517%24 Feb
ancient13–9-0.0514%24 Feb
overpass12–1-0.045%24 Feb
mirage13–50.0621%24 Feb
mirage13–7-0.0519%24 Feb
nuke7–13-0.0016%23 Feb
vertigo16–13-0.0213%23 Feb
vertigo11–130.0417%23 Feb
anubis5–13-0.088%23 Feb
vertigo5–13-0.109%21 Feb
vertigo11–13-0.0614%21 Feb
overpass13–9-0.0311%21 Feb
ancient4–13-0.1314%21 Feb
anubis6–13-0.0415%21 Feb
inferno5–13-0.0523%21 Feb
ancient13–6-0.0210%20 Feb
mirage13–4-0.0512%20 Feb
nuke4–13-0.0817%20 Feb
inferno0–9-0.2150%20 Feb
nuke5–13-0.0819%19 Feb
anubis12–16-0.0714%18 Feb
anubis11–00.0020%18 Feb
mirage13–16-0.1010%18 Feb
mirage9–13-0.0117%18 Feb
nuke7–13-0.054%18 Feb
overpass0–5-0.115%18 Feb
ancient6–13-0.0915%17 Feb
inferno16–13-0.0112%17 Feb
inferno7–13-0.023%17 Feb
ancient13–100.0115%17 Feb
mirage14–16-0.0311%16 Feb
vertigo8–13-0.0218%16 Feb
ancient11–13-0.0826%16 Feb
mirage16–13-0.039%16 Feb
inferno13–90.0114%16 Feb
mirage13–160.0019%16 Feb
mirage13–11-0.0411%16 Feb
vertigo13–30.1412%16 Feb
mirage13–10-0.0712%15 Feb
ancient13–80.099%15 Feb

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 →