Glowtech — CS2 Stats

76561198969775871[U:1:1009510143]

577Tracked matches41%Win rate2020Tracked since
CSDB Rating2.3 Learning
Ladder ranks via Leetify

Performance scores

Aim13
Positioning26
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY37594Last 10037%Win rateTLLWLWWWWL

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

Player DNA

Aim1.3
Aggression1.6
Utility5.7
Positioning2.6
Opening Duels0.0

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 65% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 653ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim1.3
Positioning2.6
Utility5.7
Mechanics2.3
Opening Duels0.1
Win Impact2.1

Composite 2.3/10 (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-0.04+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time653ms−102ms
first ⅓ avg 755ms → last ⅓ avg 653ms
Headshot accuracy10.2%−2.5%
first ⅓ avg 12.7% → last ⅓ avg 10.2%

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

0.09Best rating — inferno 13–6
131Biggest win — mirage
5Longest win streak
76In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 60% over 5infernoWeakest map · 12% over 17
MapGradePlayedRecordWin rateAvg rating
mirageC35152043%-0.04
dust2B2091145%-0.05
infernoD1721512%-0.05
nukeC146843%-0.04
overpassA53260%-0.03
cache41325%-0.07
anubis3030%-0.06
train110100%-0.01
ancient1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (12% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.2%Headshot accuracy
23.8%Accuracy (enemy spotted)
24.2%Spray accuracy
60.2%Counter-strafing
11.1°Preaim
653msReaction time
17.8%T opening success
30.9%CT opening success
0.61Enemies flashed / flash
11.6%Flash assists
12.60HE damage / grenade
5.97Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.2234% — below the 15% mark we flag

    Aim Training
  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 17.8224% — below the 40% mark we flag

Spend your practice time on Inferno

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

12% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.0516%23 Aug
inferno7–130.006%23 Aug
inferno13–16-0.104%23 Aug
nuke13–11-0.083%22 Aug
inferno8–13-0.070%8 Aug
nuke16–120.0415%2 Aug
nuke13–20.0916%19 Jul
mirage13–10.0723%19 Jul
dust213–2-0.0414%19 Jul
mirage6–13-0.097%19 Jul
inferno13–160.0812%17 Jul
inferno13–60.0915%17 Jul
dust20–13-0.098%12 Jul
mirage0–8-0.0717%12 Jul
inferno4–13-0.0914%12 Jul
dust213–5-0.067%11 Jul
mirage13–110.0213%11 Jul
mirage13–5-0.037%11 Jul
mirage11–1-0.0814%5 Jul
dust213–11-0.0511%5 Jul
mirage6–13-0.1016%5 Jul
anubis4–13-0.0811%5 Jul
mirage3–13-0.0514%5 Jul
nuke3–13-0.085%5 Jul
train10–5-0.016%21 Jun
overpass6–130.0115%16 Jun
mirage2–13-0.089%14 Jun
nuke11–13-0.077%12 Jun
cache10–13-0.098%12 Jun
nuke6–13-0.084%12 Jun
mirage0–5-0.080%7 Jun
inferno11–13-0.077%7 Jun
dust25–13-0.0512%7 Jun
mirage13–11-0.037%7 Jun
nuke5–130.013%7 Jun
mirage1–13-0.054%6 Jun
inferno6–13-0.0322%6 Jun
mirage9–130.006%6 Jun
nuke13–11-0.103%31 May
mirage9–13-0.0121%31 May
nuke13–7-0.0330%31 May
cache4–13-0.1021%31 May
dust23–13-0.099%31 May
inferno9–13-0.070%24 May
mirage3–13-0.048%24 May
mirage13–2-0.0314%24 May
mirage7–13-0.0422%24 May
mirage13–40.0522%16 May
mirage9–13-0.069%16 May
anubis9–13-0.0311%2 May
mirage13–20.0314%2 May
mirage13–9-0.036%2 May
dust25–13-0.069%30 Apr
cache13–11-0.0923%29 Apr
cache7–13-0.0215%29 Apr
ancient6–13-0.029%29 Apr
inferno4–13-0.0510%22 Apr
inferno8–13-0.0314%22 Apr
inferno13–11-0.108%21 Apr
dust25–13-0.147%21 Apr
dust213–4-0.0416%21 Apr
mirage13–5-0.0617%21 Apr
mirage11–13-0.038%19 Apr
inferno7–13-0.1319%19 Apr
mirage13–20.0013%19 Apr
mirage13–6-0.1014%19 Apr
overpass13–4-0.0211%8 Apr
inferno14–16-0.096%8 Apr
overpass13–5-0.0421%6 Apr
inferno4–13-0.086%5 Apr
nuke7–13-0.0913%5 Apr
mirage13–8-0.0814%5 Apr
dust215–150.0218%5 Apr
overpass13–5-0.0615%5 Apr
overpass15–15-0.0424%25 Mar
dust23–13-0.1121%21 Mar
mirage6–13-0.0610%21 Mar
dust213–5-0.0320%21 Mar
mirage13–10-0.0224%21 Mar
mirage4–13-0.0411%21 Mar
nuke13–7-0.0721%18 Mar
nuke11–13-0.0315%18 Mar
inferno4–13-0.096%15 Mar
mirage13–5-0.078%14 Mar
dust22–13-0.0513%14 Mar
mirage1–13-0.078%14 Mar
mirage8–13-0.069%12 Mar
anubis10–13-0.0813%12 Mar
dust25–13-0.045%12 Mar
inferno11–13-0.109%6 Mar
nuke7–13-0.0113%4 Mar
mirage2–13-0.095%4 Mar
mirage1–13-0.109%4 Mar
dust213–60.0318%4 Mar
dust215–15-0.1014%25 Feb
dust213–6-0.076%19 Feb
dust213–100.0014%19 Feb
nuke4–13-0.0711%31 Jan
dust213–6-0.0610%31 Jan
dust23–13-0.049%31 Jan

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 →