Lit-Username — CS2 Stats

76561198133680196[U:1:173414468]

590Tracked matches37%Win rate2020Tracked since
1,893Hours in CS3Hrs last 2 wks
CSDB Rating4.2 DevelopingHybrid Rifler
FaceitLevel 2Top 97.9% of ranked FACEIT players
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 medianLevel 3 medianvs Level 3
Headshot rate50.6%42.1%42.1%above
Shot accuracy18.0%12.9%12.1%above
Kill/death ratio0.861.000.990.13 short
Match win rate37.9%42.9%43.9%6.0% short

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

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGLit-UsernameFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning51
Utility12

0–100 skill scores via Leetify.

Recent form

COLD38557Last 10038%Win rateLTWWWLLLLL

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

Player DNA

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

Aim6.1
Aggression5.6
Utility1.2
Positioning5.1
Opening Duels1.3

Limited utility dependence

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 78% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 658ms 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

Aim6.1
Positioning5.1
Utility1.2
Mechanics6.6
Opening Duels1.5
Win Impact0.7

Composite 4.2/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time647ms+2ms
first ⅓ avg 644ms → last ⅓ avg 647ms
Headshot accuracy25.0%+0.7%
first ⅓ avg 24.3% → last ⅓ avg 25.0%

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

0.11Best rating — nuke 13–5
135Biggest win — nuke
4Longest win streak
1210In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 64% over 14cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2491538%-0.04
dust2B178947%-0.03
nukeA149564%-0.01
cacheD92722%-0.05
ancientD82625%-0.02
anubis41325%-0.06
warden42250%-0.02
train41325%-0.04
vertigo42250%-0.03
fachwerk3030%-0.03
italy2020%0.02
boulder21150%0.03
overpass2020%-0.05
inferno110100%-0.02
shelter1010%-0.05
alpine1010%-0.00

Across the last 100 tracked matches.

Lifetime stats

49,144Lifetime kills
0.86K/D
2,678Matches
37.9%Match win rate
50.6%Headshot % · Top 25% of Level 2 players
18.0%Shot accuracy · Top 25% of Level 2 players
4,342MVPs
968Hours (in match)
933Bombs planted
348Bombs defused

Most-used weapons

AK-4713,176
AWP6,840
MP72,557
SSG 081,870
MP91,041
Knife999

Lifetime map wins

2,098dust2
2,095inferno
1,754nuke
949office
824train
673vertigo
391lake
221cbble

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.

25.1%Headshot accuracy
30.4%Accuracy (enemy spotted)
32.3%Spray accuracy
79.6%Counter-strafing
10.3°Preaim
658msReaction time
28.4%T opening success
42.4%CT opening success
0.20Enemies flashed / flash
3.2%Flash assists
6.23HE damage / grenade
0.81Flashes / 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. 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 0.2011 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 28.4044% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0725%24 Aug
mirage12–12-0.0441%24 Aug
mirage13–9-0.0232%21 Aug
nuke13–5-0.0223%21 Aug
mirage13–60.0112%21 Aug
ancient5–130.0426%7 Aug
nuke4–130.0638%7 Aug
italy10–130.0124%7 Aug
mirage7–13-0.0323%7 Aug
anubis2–13-0.0628%29 Jul
italy10–130.0227%27 Jul
anubis9–13-0.0722%27 Jul
fachwerk9–130.0126%27 Jul
anubis13–10-0.0627%27 Jul
dust213–100.0130%25 Jul
mirage11–13-0.0217%25 Jul
mirage13–60.0126%25 Jul
cache13–5-0.0519%22 Jul
dust213–110.0526%22 Jul
inferno13–6-0.0211%22 Jul
fachwerk10–130.0014%9 Jul
boulder13–110.0337%9 Jul
shelter3–13-0.0532%9 Jul
fachwerk7–13-0.0950%9 Jul
boulder12–120.0322%9 Jul
mirage11–13-0.069%30 Jun
dust212–12-0.0027%30 Jun
nuke8–130.0126%23 Jun
nuke10–13-0.0516%10 Jun
dust24–13-0.0322%10 Jun
cache6–13-0.0833%1 Jun
nuke13–60.0021%1 Jun
warden6–13-0.0515%1 Jun
mirage11–13-0.0633%1 Jun
nuke13–100.0417%26 May
cache12–12-0.0139%25 May
mirage13–16-0.0825%6 May
cache8–13-0.0713%6 May
cache10–13-0.0228%6 May
mirage7–13-0.0928%2 May
mirage11–13-0.0218%2 May
mirage11–13-0.0225%2 May
cache6–13-0.0541%2 May
cache13–10-0.0527%30 Apr
cache12–12-0.0429%30 Apr
train11–13-0.0118%28 Apr
train5–13-0.0522%28 Apr
train4–13-0.0132%28 Apr
nuke11–13-0.0818%27 Apr
mirage13–11-0.0413%23 Apr
ancient15–15-0.0321%23 Apr
overpass10–13-0.0626%20 Apr
nuke13–50.1125%20 Apr
mirage11–13-0.0822%20 Apr
dust210–13-0.0717%19 Apr
nuke13–110.0228%19 Apr
dust29–130.0311%19 Apr
ancient4–13-0.0633%19 Apr
ancient16–12-0.0328%19 Apr
mirage6–13-0.1114%11 Apr
ancient6–13-0.0328%11 Apr
mirage11–13-0.0747%11 Apr
mirage13–7-0.0626%11 Apr
dust213–11-0.0129%11 Apr
warden13–5-0.0335%11 Apr
dust212–12-0.1123%10 Apr
mirage16–14-0.0127%5 Apr
mirage13–60.0120%5 Apr
mirage7–13-0.0623%2 Apr
nuke13–9-0.0620%2 Apr
mirage16–130.0216%20 Mar
ancient5–13-0.0843%20 Mar
ancient13–50.0331%20 Mar
overpass2–13-0.0423%28 Feb
mirage6–13-0.0619%8 Feb
ancient8–130.0219%8 Feb
nuke13–10-0.0516%8 Feb
nuke9–13-0.0748%3 Feb
mirage13–10-0.0321%3 Feb
vertigo13–10-0.0322%30 Jan
dust26–13-0.0729%30 Jan
dust213–11-0.0233%27 Jan
anubis10–13-0.0322%27 Jan
vertigo10–130.0219%27 Jan
alpine6–13-0.0035%24 Jan
warden7–13-0.0229%24 Jan
nuke13–110.0222%24 Jan
warden13–110.0423%24 Jan
dust26–13-0.0925%24 Jan
dust213–11-0.0622%16 Jan
dust211–13-0.0714%15 Jan
train13–11-0.0819%15 Jan
dust213–8-0.0628%6 Nov
mirage5–13-0.0813%2 Nov
dust24–13-0.0428%2 Nov
dust213–11-0.0320%23 Oct
dust213–10-0.0021%23 Oct
vertigo10–13-0.0417%23 Oct
vertigo13–8-0.0628%23 Oct
nuke13–5-0.0734%22 Oct

Match data via Leetify.

Recent teammates

Milestones

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