steib — CS2 Stats

76561198406521435[U:1:446255707]✓ No bans

218Tracked matches33%Win rate2021Tracked since
400Hours in CS
CSDB Rating4.4 Developing
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 medianvs Level 2
Headshot rate43.1%42.1%above
Shot accuracy14.0%12.9%above
Kill/death ratio0.891.000.11 short
Match win rate42.7%42.9%meets

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsteibFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning50
Utility31

0–100 skill scores via Leetify.

Recent form

COLD44515Last 10044%Win rateLLLWLTWLLL

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

Player DNA

Aim5.6
Aggression4.7
Utility3.1
Positioning5.0
Opening Duels1.5

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 83% 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

T-side openings. Opening success drops from 45% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 687ms 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

Aim5.6
Positioning5.0
Utility3.1
Mechanics7.5
Opening Duels1.8
Win Impact0.0

Composite 4.4/10 (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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time704ms+9ms
first ⅓ avg 695ms → last ⅓ avg 704ms
Headshot accuracy27.0%+2.2%
first ⅓ avg 24.7% → last ⅓ avg 27.0%

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

0.41Best rating — rooftop 9–0
130Biggest win — dust2
6Longest win streak
L3Current streak
412In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 60% over 5nukeWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB23121152%0.01
nukeD1751229%0.03
dust2A1710759%-0.01
mirageB157847%-0.01
overpassA53260%-0.01
anubis31233%-0.03
train3030%0.02
ancient32167%-0.00
grail31233%0.04
cache2020%0.01
poseidon2020%0.03
office21150%0.01
rooftop21150%0.18
sanctum1010%-0.00
vertigo110100%0.13
dogtown1010%-0.17

Across the last 100 tracked matches.

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

Lifetime stats

14,817Lifetime kills
0.89K/D
932Matches
42.7%Match win rate
43.1%Headshot %
14.0%Shot accuracy · Top 50% of tracked players
1,981MVPs
400Hours (in match)
811Bombs planted
169Bombs defused

Most-used weapons

Lifetime map wins

1,428dust2
1,030inferno
939nuke
260vertigo
255office
175train
72lake
58safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.3%Headshot accuracy
31.1%Accuracy (enemy spotted)
32.1%Spray accuracy
83.6%Counter-strafing
12.7°Preaim
687msReaction time
27.0%T opening success
44.7%CT opening success
0.55Enemies flashed / flash
6.5%Flash assists
9.44HE damage / grenade
5.10Flashes / 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 12.717° — 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.

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

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass10–130.0126%20 Jun
anubis4–130.0228%20 Jun
nuke5–9-0.143%20 Jun
nuke9–10.2642%20 Jun
inferno6–9-0.1245%17 May
sanctum8–8-0.0024%17 May
nuke13–60.0854%15 May
nuke4–13-0.0339%15 May
cache3–130.0925%1 May
cache0–9-0.0614%30 Apr
poseidon6–90.0520%30 Apr
nuke8–13-0.0128%12 Apr
overpass13–90.0739%12 Apr
mirage10–130.0124%12 Apr
dust213–70.0130%13 Mar
dust26–13-0.0626%13 Mar
mirage13–80.0120%19 Feb
train5–100.0519%19 Feb
overpass5–13-0.0917%9 Feb
poseidon7–90.0123%9 Feb
anubis3–13-0.0726%24 Jan
dust29–13-0.0613%24 Jan
nuke10–13-0.0120%16 Jan
nuke11–13-0.0323%13 Jan
inferno1–13-0.0936%13 Jan
ancient13–90.0231%13 Jan
inferno8–8-0.1214%12 Jan
ancient6–13-0.0547%9 Jan
inferno6–9-0.0240%9 Jan
mirage14–160.0024%8 Jan
office11–130.0015%8 Jan
nuke10–130.0437%7 Jan
nuke13–50.1019%6 Jan
dust213–80.0120%6 Jan
inferno9–20.2318%6 Jan
nuke9–130.0826%4 Jan
ancient13–70.0229%3 Jan
inferno13–11-0.0028%3 Jan
inferno9–20.1140%3 Jan
office13–110.0212%2 Jan
inferno13–40.0533%2 Jan
nuke13–20.0816%2 Jan
train12–120.0229%31 Dec
inferno9–60.1136%31 Dec
nuke13–100.0319%30 Dec
mirage13–60.0536%30 Dec
inferno11–13-0.0727%16 Dec
dust28–130.0020%16 Dec
vertigo9–50.139%13 Dec
inferno13–4-0.0430%13 Dec
mirage10–13-0.0128%5 Dec
overpass13–8-0.0125%5 Dec
inferno13–90.0321%5 Dec
inferno13–4-0.0128%1 Dec
overpass13–3-0.0230%1 Dec
mirage11–13-0.128%27 Nov
nuke15–150.0738%27 Nov
dust213–7-0.0141%27 Nov
inferno13–7-0.0417%24 Nov
dust213–0-0.0119%24 Nov
inferno9–13-0.0230%17 Nov
dust213–11-0.0419%17 Nov
rooftop9–00.4133%17 Nov
dust28–13-0.0129%12 Nov
inferno13–80.1239%12 Nov
mirage14–160.0022%12 Nov
nuke11–130.0132%12 Nov
rooftop8–8-0.0430%12 Nov
nuke7–130.0227%2 Oct
dust26–13-0.0735%2 Oct
dogtown3–9-0.1723%20 Sept
mirage13–6-0.0311%27 Aug
dust213–40.0831%27 Aug
inferno14–160.0642%26 Aug
dust25–0-0.0033%26 Aug
mirage0–13-0.0521%26 Aug
mirage13–80.0015%4 Aug
mirage13–40.1420%4 Aug
inferno4–130.0821%3 Aug
dust213–11-0.0120%14 Jul
dust213–80.0831%3 Jul
inferno11–13-0.0633%3 Jul
mirage13–60.0126%1 Jul
inferno0–50.0233%1 Jul
mirage7–13-0.0219%1 Jul
dust21–13-0.0518%15 Jun
train9–13-0.0122%15 Jun
nuke6–130.0012%12 Jun
nuke11–13-0.0324%8 Jun
inferno13–40.0222%8 Jun
dust211–13-0.0031%8 Jun
grail13–40.0719%5 Jun
dust213–7-0.0234%5 Jun
grail10–130.0119%3 Jun
grail10–130.0327%29 May
mirage13–9-0.0817%4 Apr
inferno16–130.0140%4 Apr
inferno3–13-0.0419%2 Mar
mirage9–13-0.0228%2 Mar
anubis13–5-0.0311%2 Mar

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →