GalaxyPate

GalaxyPate — CS2 Stats

FI76561198149579560[U:1:189313832]Steam profile ↗VAC banned

190Tracked matches43%Win rate2021Tracked since
465Hours in CS
CSDB Rating2.9 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 190 tracked matches. Play, then come back: the next observation lands here.

Rating over time

44Days played since 2025-02-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate30.1%41.8%42.7%12.6% short
Shot accuracy14.9%12.2%11.2%above
Kill/death ratio0.910.980.990.09 short
Match win rate33.3%43.3%43.9%10.6% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGalaxyPateFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim21
Positioning40
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY42–40–9Last 9146%Win rateLLLLWLWWWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −2.9pp headshot accuracy · +9ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 6%
  • Avg reaction 758ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 752ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 748ms

Newest first, from the last 91 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim2.1
Utility3.5
Positioning4.0
Opening Duels2.0
Clutch1.2

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 65% 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. 710ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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
Positioning4.0
Utility3.5
Mechanics4.1
Opening Duels1.1
Win Impact2.6

Composite 2.9/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time727ms+25ms
first ⅓ avg 702ms → last ⅓ avg 727ms
Headshot accuracy9.8%−3.5%
first ⅓ avg 13.3% → last ⅓ avg 9.8%

Rolling 5-match average across the last 91 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.12Best match rating · 13–10 · nuke, 16 Mar →
67%Best headshot accuracy · 4–2 · inferno, 22 Dec →
500msFastest reaction time · 7–13 · anubis, 1 Jan →
13–1Biggest win · ancient, 3 Jan →

Across the last 91 tracked matches.

Highlights

5Longest win streak
L4Current streak
7–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 80% over 5anubisWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
nukeA169–756%-0.02
vertigoC146–843%-0.04
ancientA116–555%-0.02
anubisD111–109%-0.04
infernoS96–367%-0.02
mirageC94–544%-0.04
overpassD62–433%-0.04
dust2S54–180%-0.01
cache—31–233%-0.02
train—32–167%-0.07
golden—31–233%-0.04
alpine—10–10%-0.00

Across the last 91 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,196Lifetime kills
0.91K/D
1,553Matches
33.3%Match win rate
30.1%Headshot %
14.9%Shot accuracy · Top 50% of Level 3 players
2,024MVPs
465Hours (in match)
557Bombs planted
164Bombs defused

Most-used weapons

Lifetime map wins

1,746dust2
1,305inferno
880nuke
546vertigo
102train
91lake
86cbble
79bank

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

Faceit stats

Combat

83Matches
49%Win rate
0.87Avg K/D
64.4ADR
33%Headshot %

Clutches & streaks

26%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2948%0.8712.4
Nuke1283%0.8513.0
Dust2967%0.9013.2
Inferno838%0.8312.3
Anubis667%0.8813.3
Ancient450%1.468.0
Vertigo425%0.7814.0
Overpass20%1.3319.5

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.

10.0%Headshot accuracy
30.1%Accuracy (enemy spotted)
30.3%Spray accuracy
68.5%Counter-strafing
12.1°Preaim
710msReaction time
33.3%T opening success
35.2%CT opening success
0.38Enemies flashed / flash
9.4%Flash assists
6.97HE damage / grenade
3.71Flashes / 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 12.1056° — 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 9.9613% — 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 709.8982ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Anubis

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0214%4 Aug →
nuke11–13-0.055%3 Aug →
cache3–13-0.090%9 Jun →
overpass8–13-0.090%9 Jun →
nuke13–10-0.0410%12 May →
cache8–130.037%12 May →
cache4–0-0.0011%12 May →
nuke13–100.129%16 Mar →
inferno13–110.0118%15 Mar →
overpass7–13-0.0811%14 Mar →
mirage13–30.0111%12 Mar →
nuke13–16-0.074%12 Mar →
anubis10–13-0.0215%12 Mar →
mirage7–13-0.067%10 Mar →
nuke13–110.008%9 Mar →
anubis8–130.0117%8 Mar →
inferno12–12-0.066%8 Mar →
ancient13–60.0715%8 Mar →
alpine7–13-0.0026%2 Mar →
vertigo13–10-0.125%2 Mar →
anubis5–13-0.109%2 Mar →
nuke13–9-0.065%24 Feb →
dust213–6-0.0010%18 Feb →
nuke0–4-0.050%22 Jan →
anubis7–13-0.080%12 Jan →
inferno11–130.0815%12 Jan →
mirage12–12-0.0717%12 Jan →
vertigo13–3-0.0119%10 Jan →
ancient4–13-0.0712%8 Jan →
anubis13–40.0310%8 Jan →
inferno13–6-0.075%8 Jan →
nuke13–8-0.0210%6 Jan →
vertigo12–120.0317%6 Jan →
vertigo13–11-0.057%6 Jan →
inferno13–4-0.0211%6 Jan →
dust213–10-0.0423%5 Jan →
vertigo9–13-0.0614%5 Jan →
dust213–40.017%5 Jan →
vertigo13–8-0.106%4 Jan →
ancient11–13-0.0320%4 Jan →
ancient13–1-0.0125%3 Jan →
train13–3-0.0418%2 Jan →
inferno13–8-0.040%2 Jan →
ancient13–10-0.0417%2 Jan →
dust213–20.0621%2 Jan →
anubis7–13-0.0512%1 Jan →
overpass13–90.0115%30 Dec →
mirage13–11-0.068%30 Dec →
ancient13–6-0.0513%30 Dec →
vertigo12–12-0.048%30 Dec →
train13–9-0.0813%29 Dec →
overpass5–13-0.0110%29 Dec →
nuke13–7-0.0714%28 Dec →
anubis11–13-0.0717%28 Dec →
mirage11–13-0.0627%28 Dec →
mirage13–11-0.0410%27 Dec →
nuke12–12-0.049%24 Dec →
vertigo12–12-0.0221%24 Dec →
overpass13–90.019%24 Dec →
ancient13–5-0.0312%22 Dec →
vertigo4–13-0.0324%22 Dec →
anubis9–13-0.066%22 Dec →
inferno4–2-0.0167%22 Dec →
dust212–12-0.1050%22 Dec →
mirage12–12-0.029%15 Dec →
vertigo10–13-0.118%15 Dec →
golden13–8-0.0216%14 Dec →
nuke13–10-0.0110%14 Dec →
mirage10–13-0.0512%14 Dec →
inferno13–5-0.044%14 Dec →
anubis4–13-0.0214%12 Dec →
train6–13-0.109%12 Dec →
golden12–12-0.006%12 Dec →
nuke4–13-0.0314%12 Dec →
vertigo13–30.034%12 Dec →
vertigo10–13-0.065%10 Dec →
nuke10–130.0111%9 Dec →
nuke5–13-0.077%1 Dec →
vertigo7–130.053%27 Nov →
anubis10–13-0.008%27 Nov →
nuke13–100.023%26 Nov →
golden6–13-0.1112%25 Nov →
mirage13–11-0.0317%25 Nov →
nuke13–10-0.0216%17 Nov →
anubis5–13-0.049%17 Nov →
ancient11–13-0.047%16 Nov →
ancient13–100.0014%29 Oct →
overpass9–13-0.0915%9 Jul →
vertigo13–1-0.0110%9 Jul →
inferno5–13-0.0717%9 Jul →
ancient6–13-0.0517%1 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.