Limmmz- — CS2 Stats

76561198875271166[U:1:915005438]

6,296Tracked matches53%Win rate2021Tracked since
5,654Hours in CS
CSDB Rating5.2 DevelopingPassive Rifler
FaceitLevel 10 · 2,644 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=218), 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 rate48.7%52.8%
Shot accuracy9.5%13.7%
Kill/death ratio1.061.08
Match win rate47.1%49.2%

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CSDB.GGLimmmz-FACEITLevel 10 · 2,644 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning44
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY5347Last 10053%Win rateLWLWLLLWLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim6.1
Aggression2.9
Utility6.9
Positioning4.4
Opening Duels0.0
Clutch3.8

Effective flashes

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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 574ms 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
Positioning4.4
Utility6.9
Mechanics5.1
Opening Duels0.0
Win Impact6.1

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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time598ms+24ms
first ⅓ avg 575ms → last ⅓ avg 598ms
Headshot accuracy18.2%−2.7%
first ⅓ avg 21.0% → last ⅓ avg 18.2%

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

0.16Best rating — ancient 12–1
131Biggest win — dust2
6Longest win streak
1110In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 71% over 17trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C38162242%0.01
ancientS1712571%0.04
anubisA149564%0.01
nukeS75271%0.02
trainD72529%0.01
mirageA74357%0.04
overpassS64267%0.04
inferno31233%-0.00
warden1010%-0.06

Across the last 100 tracked matches.

Lifetime stats

229,095Lifetime kills
1.06K/D
9,525Matches
47.1%Match win rate
48.7%Headshot %
9.5%Shot accuracy
25,937MVPs
5,654Hours (in match)
14,368Bombs planted
3,816Bombs defused

Most-used weapons

AK-4786,134
AWP20,487
Knife7,666
MP93,943
MAC-103,772

Lifetime map wins

23,699nuke
13,403train
10,734dust2
7,786vertigo
5,866inferno
115cbble
106italy
66office

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

Faceit stats

Combat

8,390Matches
51%Win rate
1.17Avg K/D
80.9ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient145257%1.2317.3
Anubis109149%1.1516.7
Dust262646%1.1316.8
Nuke56353%1.2016.5
Vertigo20943%1.0616.6
Train16953%1.2316.8
Mirage15644%1.1316.6
Overpass12143%1.0815.6

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.

18.8%Headshot accuracy
32.1%Accuracy (enemy spotted)
34.6%Spray accuracy
73.1%Counter-strafing
9.9°Preaim
574msReaction time
27.5%T opening success
27.7%CT opening success
0.71Enemies flashed / flash
8.8%Flash assists
8.57HE damage / grenade
11.02Flashes / 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 27.5346% — below the 40% mark we flag

Spend your practice time on Train

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 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0518%28 Mar
ancient13–110.0416%20 Mar
ancient8–13-0.0126%13 Mar
anubis13–100.0224%12 Mar
warden1–13-0.060%9 Mar
nuke5–130.0121%9 Mar
anubis8–130.0427%8 Mar
ancient13–100.0314%8 Mar
dust212–16-0.0520%1 Mar
dust213–30.0619%24 Feb
dust29–13-0.0024%24 Feb
anubis3–13-0.1013%10 Feb
ancient13–30.1310%9 Feb
dust213–10.025%6 Feb
ancient13–70.0918%4 Feb
dust25–13-0.0231%22 Jan
ancient12–10.1626%22 Jan
dust214–16-0.0118%19 Jan
dust28–13-0.0423%13 Jan
train13–9-0.0218%3 Jan
dust213–11-0.0023%1 Jan
dust213–3-0.026%22 Dec
train13–90.0516%21 Dec
dust213–90.0615%20 Dec
train7–130.0015%20 Dec
train11–13-0.0217%19 Dec
nuke13–8-0.0121%18 Dec
dust211–13-0.0221%16 Dec
ancient19–17-0.0116%16 Dec
inferno13–7-0.0326%9 Dec
dust213–110.0317%8 Dec
ancient13–8-0.0023%6 Dec
train0–9-0.0717%5 Dec
dust29–13-0.0121%1 Dec
nuke22–200.0119%15 Nov
overpass13–40.0620%14 Nov
dust29–13-0.0327%14 Nov
dust29–13-0.0017%13 Nov
overpass10–130.0022%12 Nov
dust213–7-0.0126%10 Nov
train4–130.1328%6 Nov
ancient13–90.0415%3 Nov
dust24–130.0113%29 Oct
dust213–70.1525%29 Oct
dust213–110.0520%19 Oct
overpass5–13-0.0021%19 Oct
nuke7–130.0419%15 Oct
dust213–40.0418%5 Oct
dust213–60.0331%4 Oct
dust23–13-0.0714%3 Oct
dust23–13-0.0121%2 Oct
overpass13–70.0621%28 Sept
dust213–100.0311%27 Sept
overpass13–70.0533%25 Sept
mirage13–10-0.0221%20 Sept
ancient13–6-0.0124%15 Sept
nuke16–140.0524%14 Sept
inferno7–130.0328%2 Sept
mirage9–13-0.0211%2 Sept
dust24–130.0118%1 Sept
dust216–130.0615%27 Aug
overpass16–120.0510%25 Aug
nuke13–110.0425%23 Aug
dust28–13-0.0518%8 Aug
ancient13–70.0710%13 Jul
dust213–100.0115%6 Jul
dust211–130.0329%5 Jul
dust214–16-0.0121%21 Jun
mirage7–13-0.0526%16 Jun
dust24–13-0.0316%16 Jun
anubis13–6-0.0420%14 Jun
dust211–13-0.0523%13 Jun
anubis16–130.0417%9 Jun
dust213–110.0313%31 May
anubis13–110.1021%31 May
mirage13–70.1418%29 May
dust214–160.0215%25 May
ancient12–16-0.0327%20 May
anubis10–13-0.0115%19 May
dust213–90.0347%13 May
dust25–12-0.0322%10 May
dust210–13-0.0129%10 May
anubis13–11-0.0122%10 May
anubis16–120.0324%1 May
ancient15–190.0518%28 Apr
ancient19–150.0629%27 Apr
anubis13–160.0322%26 Apr
dust210–120.0220%21 Apr
anubis13–60.0324%21 Apr
mirage13–90.0311%21 Apr
ancient9–130.0134%13 Apr
anubis13–9-0.0121%12 Apr
mirage11–130.1216%10 Apr
anubis13–80.0118%10 Apr
mirage13–70.0817%10 Apr
ancient13–50.0821%9 Apr
train6–13-0.0111%4 Apr
anubis10–12-0.0415%4 Apr
inferno10–13-0.0129%3 Apr
nuke13–9-0.0011%30 Mar

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 →