Galinha da Noite

Galinha da Noite — CS2 Stats

BR76561197990592816[U:1:30327088]Steam profile ↗✓ No bans

593Tracked matches29%Win rate2022Tracked since
1,041Hours in CS2Hrs last 2 wks
CSDB Rating2.4 Learning
Ladder ranks via Leetify

Performance scores

Aim21
Positioning41
Utility5

0–100 skill scores via Leetify.

Recent form

COLD31663Last 10031%Win rateLLLLLLWLLW

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

Player DNA

Aim2.1
Aggression6.8
Utility0.5
Positioning4.1
Opening Duels1.8

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

b1t

Plays most like b1t 68% playstyle similarity

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

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 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 700ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim2.1
Positioning4.1
Utility0.5
Mechanics4.4
Opening Duels1.9
Win Impact0.0

Composite 2.4/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time692ms−21ms
first ⅓ avg 713ms → last ⅓ avg 692ms
Headshot accuracy14.6%+0.9%
first ⅓ avg 13.7% → last ⅓ avg 14.6%

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

0.07Best rating — inferno 13–2
131Biggest win — nuke
4Longest win streak
L6Current streak
57In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 40% over 10dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD2891932%-0.05
nukeD2261627%-0.05
overpassD124833%-0.01
mirageC104640%-0.03
ancientD81713%-0.06
anubisC83538%-0.04
dust2D5050%-0.05
vertigo43175%-0.05
cache21150%-0.04
train1010%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,700Lifetime kills
0.81K/D
1,645Matches
39.9%Match win rate
37.1%Headshot %
14.0%Shot accuracy · Top 50% of tracked players
2,544MVPs
625Hours (in match)
1,821Bombs planted
282Bombs defused

Most-used weapons

Lifetime map wins

3,293inferno
1,525vertigo
1,290nuke
513dust2
213office
103assault
51italy
35dust

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.

14.9%Headshot accuracy
26.5%Accuracy (enemy spotted)
26.9%Spray accuracy
69.8%Counter-strafing
12.3°Preaim
700msReaction time
29.7%T opening success
44.8%CT opening success
0.16Enemies flashed / flash
1.1%Flash assists
1.69HE damage / grenade
0.89Flashes / 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 12.2889° — above the 12° mark we flag

    Aim Training
  2. 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 14.8852% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 700.0945ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Dust 2

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.0210%25 Aug
ancient2–13-0.0419%25 Aug
nuke9–13-0.0422%25 Aug
inferno3–13-0.1216%24 Aug
nuke7–13-0.063%30 Jul
cache11–13-0.0321%30 Jul
vertigo13–8-0.0422%30 Jul
inferno7–13-0.0422%30 Jul
inferno5–13-0.1130%28 Jul
mirage13–9-0.0415%28 Jul
inferno12–12-0.058%28 Jul
nuke10–13-0.0611%7 Jul
anubis13–9-0.0120%7 Jul
vertigo13–9-0.079%7 Jul
cache13–11-0.0514%7 Jul
inferno3–13-0.104%7 Jul
mirage4–130.0114%19 Jun
nuke9–13-0.088%12 Feb
inferno12–16-0.0712%12 Feb
anubis10–13-0.015%12 Feb
mirage12–12-0.0414%12 Feb
vertigo13–80.028%11 Feb
mirage9–13-0.0920%5 Feb
anubis6–13-0.0425%5 Feb
nuke13–10.0429%5 Feb
nuke4–13-0.0217%3 Feb
overpass9–130.0022%3 Feb
nuke13–8-0.017%3 Feb
anubis8–13-0.056%3 Feb
inferno9–130.0220%2 Feb
inferno2–13-0.0813%2 Feb
inferno13–50.0113%2 Feb
nuke13–11-0.102%1 Feb
anubis13–10-0.013%1 Feb
mirage13–40.0120%23 Jan
anubis13–16-0.029%23 Jan
inferno10–13-0.0115%23 Jan
anubis5–13-0.0428%20 Jan
nuke8–13-0.0827%20 Jan
dust27–13-0.0324%20 Jan
overpass13–40.0526%20 Jan
mirage8–13-0.0515%20 Jan
anubis13–11-0.118%15 Jan
nuke13–30.047%15 Jan
overpass7–13-0.029%15 Jan
inferno3–13-0.0822%15 Jan
ancient15–150.0111%13 Jan
dust24–13-0.086%13 Jan
nuke9–13-0.0612%13 Jan
vertigo3–13-0.1110%13 Jan
inferno13–11-0.0613%13 Jan
inferno4–13-0.0425%13 Jan
nuke7–13-0.066%9 Jan
mirage13–1-0.0118%9 Jan
nuke13–8-0.0316%9 Jan
inferno13–6-0.1217%8 Jan
overpass3–13-0.059%8 Jan
ancient2–13-0.0918%8 Jan
mirage2–13-0.079%8 Jan
nuke10–13-0.0921%6 Jan
nuke6–13-0.1119%6 Jan
ancient13–9-0.106%6 Jan
inferno13–10-0.042%6 Jan
dust210–13-0.0510%6 Jan
inferno13–8-0.015%18 Dec
mirage13–5-0.0141%18 Dec
inferno10–13-0.045%18 Dec
overpass13–50.067%18 Dec
overpass11–130.0130%18 Dec
inferno9–13-0.055%17 Dec
nuke14–16-0.028%10 Dec
inferno11–13-0.0710%10 Dec
ancient7–13-0.069%10 Dec
dust210–13-0.034%10 Dec
overpass4–13-0.066%5 Dec
inferno13–110.009%5 Dec
inferno13–20.0715%5 Dec
inferno11–13-0.0718%2 Dec
overpass6–13-0.0326%2 Dec
nuke13–90.0220%2 Dec
overpass13–20.014%2 Dec
dust211–13-0.0818%27 Nov
nuke8–13-0.097%27 Nov
nuke4–13-0.0429%27 Nov
inferno13–7-0.0313%25 Nov
nuke3–13-0.108%24 Nov
inferno9–13-0.0710%24 Nov
inferno2–13-0.0815%24 Nov
overpass6–13-0.0315%24 Nov
nuke6–13-0.038%21 Nov
overpass0–10-0.0513%21 Nov
overpass13–6-0.0027%21 Nov
ancient5–13-0.0310%21 Nov
ancient11–13-0.0619%21 Nov
train6–13-0.0525%11 Nov
nuke0–13-0.0819%11 Nov
inferno13–2-0.040%11 Nov
ancient9–13-0.096%11 Nov
inferno7–130.0015%10 Nov
inferno7–13-0.0825%10 Nov

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 →