Latent Quirks

Latent Quirks — CS2 Stats

US76561198106358185[U:1:146092457]Steam profile ↗

1,979Tracked matches54%Win rate2021Tracked since
CSDB Rating4.6 DevelopingHybrid Rifler
Premier CS Rating15,977Purple band · top ~24.5% of ranked players (population est.)
CSDB Leaderboard#14645 of 24295 tracked
Ladder ranks via Leetify

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CSDB.GGLatent QuirksPREMIER15,977 · Purple bandcsdb.gg/stats

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Performance scores

Aim60
Positioning38
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateLLWLWLTWWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim6.0
Aggression5.7
Utility2.2
Positioning3.8
Opening Duels1.1
Clutch4.2

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 77% 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. 580ms 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

Aim6.0
Positioning3.8
Utility2.2
Mechanics6.7
Opening Duels1.1
Win Impact6.2

Composite 4.6/10 (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-0.03+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time582ms−54ms
first ⅓ avg 636ms → last ⅓ avg 582ms
Headshot accuracy15.7%−1.7%
first ⅓ avg 17.4% → last ⅓ avg 15.7%

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

0.10Best rating — cache 13–6
132Biggest win — mirage
6Longest win streak
L2Current streak
78In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 75% over 12ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB2091145%-0.02
mirageB1910953%-0.03
infernoC1981142%-0.04
cacheS129375%-0.02
ancientD92722%-0.02
dust2D93633%-0.04
anubisD62433%-0.06
overpass21150%-0.03
vertigo21150%-0.02
office110100%0.04
train110100%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

47Matches
45%Win rate
0.82Avg K/D
72.1ADR
45%Headshot %

Clutches & streaks

41%1v1 clutch win
11%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1258%0.9111.8
Dust2743%0.9412.1
Anubis714%0.689.9
Nuke650%0.9212.3
Ancient540%0.8515.2
Inferno540%0.7112.0
Vertigo450%0.6611.3
Overpass1100%0.466.0

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.

15.5%Headshot accuracy
31.3%Accuracy (enemy spotted)
31.1%Spray accuracy
80.1%Counter-strafing
9.0°Preaim
580msReaction time
34.1%T opening success
34.4%CT opening success
0.31Enemies flashed / flash
3.5%Flash assists
7.52HE damage / grenade
1.85Flashes / 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 0.3118 — 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 34.0627% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–130.0114%27 Aug
ancient8–130.0212%27 Aug
mirage13–2-0.0318%27 Aug
inferno8–13-0.0816%27 Aug
mirage13–9-0.0513%21 Aug
nuke9–13-0.0711%21 Aug
nuke12–120.0516%13 Aug
inferno13–80.0120%9 Aug
ancient13–40.0110%9 Aug
mirage8–13-0.0115%9 Aug
mirage16–12-0.027%3 Aug
nuke13–6-0.0629%3 Aug
ancient7–130.0013%3 Aug
cache12–12-0.0917%2 Aug
cache13–5-0.0217%2 Aug
ancient11–130.0210%2 Aug
dust27–130.016%2 Aug
inferno9–13-0.0128%26 Jul
inferno16–12-0.0811%26 Jul
nuke7–13-0.0321%26 Jul
cache13–6-0.0015%26 Jul
ancient4–13-0.1016%26 Jul
inferno6–13-0.1219%26 Jul
cache13–9-0.0114%24 Jul
nuke13–9-0.0111%24 Jul
cache13–3-0.029%23 Jul
inferno13–7-0.0518%23 Jul
dust213–11-0.0425%22 Jul
inferno13–10-0.0314%22 Jul
nuke14–16-0.0723%22 Jul
dust27–13-0.0229%22 Jul
inferno10–13-0.0511%21 Jul
dust25–13-0.0913%21 Jul
anubis8–13-0.0417%20 Jul
inferno5–13-0.0214%20 Jul
cache4–13-0.0517%20 Jul
anubis9–13-0.059%19 Jul
mirage7–130.0020%19 Jul
ancient13–70.0124%19 Jul
mirage13–9-0.0011%19 Jul
anubis8–13-0.0415%19 Jul
cache13–5-0.0025%19 Jul
nuke13–5-0.0211%19 Jul
mirage13–10-0.0311%19 Jul
inferno13–8-0.0225%19 Jul
ancient15–15-0.035%19 Jul
mirage13–10-0.0611%17 Jul
nuke14–16-0.0617%17 Jul
nuke4–13-0.0814%14 Jul
nuke13–6-0.0013%14 Jul
cache16–140.0125%14 Jul
dust213–10-0.0319%12 Jul
mirage16–140.019%12 Jul
nuke13–11-0.0221%12 Jul
cache13–3-0.0327%12 Jul
inferno8–13-0.089%11 Jul
mirage4–13-0.0322%11 Jul
nuke13–4-0.0325%7 Jul
inferno10–13-0.0127%6 Jul
mirage13–9-0.0317%6 Jul
nuke13–80.0314%5 Jul
overpass13–7-0.0216%5 Jul
nuke8–130.016%5 Jul
inferno13–90.0318%5 Jul
overpass8–13-0.0317%5 Jul
dust26–13-0.0419%5 Jul
nuke14–160.0114%5 Jul
inferno13–4-0.0511%5 Jul
mirage3–13-0.0522%5 Jul
dust213–16-0.0518%4 Jul
nuke5–13-0.0219%4 Jul
vertigo6–13-0.0521%3 Jul
cache13–60.1017%3 Jul
mirage16–14-0.0323%2 Jul
inferno13–16-0.0913%2 Jul
nuke13–100.0520%2 Jul
nuke11–13-0.0314%2 Jul
mirage10–13-0.1025%28 Jun
anubis13–10-0.0516%28 Jun
mirage11–13-0.0229%28 Jun
inferno15–15-0.0616%28 Jun
office13–40.0436%25 Jun
nuke5–13-0.0814%25 Jun
cache13–110.0113%25 Jun
mirage13–4-0.0130%25 Jun
inferno13–110.0013%25 Jun
dust213–5-0.0229%25 Jun
ancient11–13-0.0610%25 Jun
anubis16–19-0.1017%21 Jun
dust29–13-0.0713%21 Jun
vertigo13–60.0119%18 Jun
train13–5-0.0516%18 Jun
anubis13–8-0.068%31 May
inferno13–16-0.0316%31 May
nuke13–6-0.0119%31 May
mirage6–13-0.0314%26 May
inferno7–13-0.067%26 May
mirage11–13-0.0311%17 May
ancient4–13-0.0810%13 May
cache6–13-0.1117%10 May

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 →