galy シ

galy シ — CS2 Stats

US76561198313863620[U:1:353597892]Steam profile ↗✓ No bans

2,964Tracked matches68%Win rate2020Tracked since
7,448Hours in CS39Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating27,939Top 5% of 213,740 CSDB-tracked playersRed band · top ~1.6% of ranked players (population est.)
CSDB Leaderboard#3077 of 260210 tracked
FaceitLevel 10 · 2,092 ELOTop 12.4% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,939 +1,295 2 Sept – 3 Nov · 13 days played
25,65827,939peak 27,9392 Sept3 Nov
Faceit ELO: 2,092 +0 2 Sept – 20 Sept · 3 observations
2,0922,092peak 2,0922 Sept20 Sept
27,939Peak Premier in tracked matches
2,092Highest Faceit ELO seen on CSDB
37Days played since 2026-08-23

Faceit ELO

  • At peak — 2,092
  • Next: 2,500 ELO at 2,500 — 408 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-02
  • Level 9 first seen 2026-09-02

Premier CS Rating

  • At peak — 27,939
  • +632 over 30 days · improving
  • Next: Gold band at 30,000 — 2,061 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-02
  • Pink band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 rate69.6%50.9%
Shot accuracy14.9%13.7%
Kill/death ratio0.811.09
Match win rate46.2%48.4%

Share this profile

CSDB.GGgaly シFACEITLevel 10 · 2,092 ELOSTANDINGTop 12.4% of rankedPREMIER27,939 · Red bandPEAK ELO2,092csdb.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

Aim78
Positioning65
Utility59

0–100 skill scores via Leetify.

Recent form

HOT60–30–10Last 10060%Win rateWWLWWWWLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.2pp headshot accuracy · +90ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 31%
  • Avg reaction 531ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 595ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 550ms

Newest first, from the last 100 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 (+1.4 against its own average).

Aim7.8
Utility5.9
Positioning6.5
Opening Duels4.5
Clutch3.6

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

jL

Plays most like jL 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 558ms 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

Aim7.8
Positioning6.5
Utility5.9
Mechanics6.4
Opening Duels5.3
Win Impact10.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time559ms−9ms
first ⅓ avg 568ms → last ⅓ avg 559ms
Headshot accuracy23.7%−3.6%
first ⅓ avg 27.3% → last ⅓ avg 23.7%

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.

Personal bests

0.19Best match rating · 13–8 · anubis, 4 Oct →
58%Best headshot accuracy · 13–10 · cache, 30 Aug →
258msFastest reaction time · 5–0 · nuke, 6 Oct →
13–1Biggest win · inferno, 1 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
4–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 83% over 6mirageWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
dust2A2313–1057%0.01
mirageC197–1237%0.00
nukeA138–562%0.01
cacheS139–469%0.03
ancientS128–467%-0.00
vertigoS65–183%0.02
infernoA53–260%0.03
trainA53–260%0.03
anubis—44–0100%0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

252,262Lifetime kills
0.81K/D
5,428Matches
46.2%Match win rate
69.6%Headshot % · Top 5% of Level 10 players
14.9%Shot accuracy · Top 50% of Level 10 players
13,539MVPs
19,865Hours (in match)
5,349Bombs planted
2,579Bombs defused

Most-used weapons

AK-47141,691
AWP7,406
MP92,823
Knife2,498
FAMAS2,466

Lifetime map wins

10,813inferno
9,021dust2
5,694nuke
4,081vertigo
2,291train
115cbble
54lake
26office

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

Faceit stats

Combat

2,485Matches
52%Win rate
0.98Avg K/D
70.3ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12752%1.0014.5
Ancient12458%0.9814.0
Nuke7762%0.9713.9
Dust27355%0.9814.3
Anubis7155%0.9415.7
Inferno3339%0.8412.4
Train2850%0.8612.6
Vertigo2759%1.0112.8

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.

23.7%Headshot accuracy
36.3%Accuracy (enemy spotted)
41.6%Spray accuracy
78.9%Counter-strafing
11.6°Preaim
558msReaction time
51.0%T opening success
51.5%CT opening success
0.65Enemies flashed / flash
12.3%Flash assists
7.04HE damage / grenade
9.85Flashes / match

Recommended for you

Spend your practice time on Mirage

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–7-0.0120%6 Nov →
dust213–60.0550%6 Nov →
mirage7–13-0.0516%4 Nov →
ancient16–12-0.0329%3 Nov →
cache13–40.0538%3 Nov →
inferno16–130.0322%30 Oct →
cache13–80.0218%30 Oct →
nuke7–13-0.028%30 Oct →
dust213–30.0817%30 Oct →
mirage3–13-0.0423%28 Oct →
vertigo5–13-0.0319%26 Oct →
dust213–5-0.0531%26 Oct →
mirage4–130.0131%26 Oct →
mirage5–13-0.0420%26 Oct →
cache11–130.0428%26 Oct →
inferno13–2-0.0422%23 Oct →
ancient13–20.0218%23 Oct →
inferno11–13-0.0122%22 Oct →
anubis13–100.0132%22 Oct →
dust213–50.0121%22 Oct →
vertigo13–80.0217%20 Oct →
dust213–50.0837%20 Oct →
train7–10.0724%20 Oct →
ancient13–9-0.0416%20 Oct →
nuke13–7-0.0121%16 Oct →
mirage12–12-0.0421%16 Oct →
mirage6–13-0.0220%15 Oct →
nuke12–120.0221%15 Oct →
ancient13–9-0.0128%15 Oct →
ancient9–10.0423%15 Oct →
dust27–13-0.0217%15 Oct →
vertigo13–80.0228%14 Oct →
mirage13–30.0326%14 Oct →
mirage13–20.0733%9 Oct →
dust213–9-0.0321%9 Oct →
nuke19–160.0123%9 Oct →
nuke16–140.0225%9 Oct →
dust213–80.0220%7 Oct →
mirage5–13-0.0221%6 Oct →
ancient12–120.0826%6 Oct →
nuke5–00.0750%6 Oct →
cache11–130.0136%5 Oct →
dust213–9-0.0122%5 Oct →
ancient13–110.0129%5 Oct →
dust210–13-0.0619%5 Oct →
anubis13–80.1922%4 Oct →
dust213–60.0629%3 Oct →
nuke10–130.0013%2 Oct →
dust210–13-0.0822%1 Oct →
cache13–110.0240%24 Sept →
nuke13–30.0326%24 Sept →
dust28–130.0721%22 Sept →
nuke13–70.0224%22 Sept →
cache13–3-0.0328%18 Sept →
dust213–70.0530%17 Sept →
cache13–30.1226%17 Sept →
train12–12-0.0124%17 Sept →
anubis13–20.1327%17 Sept →
mirage13–50.0619%15 Sept →
dust213–100.0423%15 Sept →
train13–10-0.0224%15 Sept →
ancient13–11-0.0218%13 Sept →
dust25–10-0.0355%13 Sept →
vertigo13–30.0319%13 Sept →
cache13–40.0820%13 Sept →
inferno11–130.0720%11 Sept →
nuke11–130.0532%11 Sept →
mirage13–50.0028%11 Sept →
cache13–3-0.0235%11 Sept →
ancient13–30.0429%11 Sept →
mirage5–130.0220%10 Sept →
dust29–130.0928%10 Sept →
vertigo13–9-0.0152%10 Sept →
mirage4–13-0.0629%6 Sept →
dust213–7-0.0124%6 Sept →
mirage13–8-0.0324%4 Sept →
dust213–70.0315%4 Sept →
vertigo13–80.1330%3 Sept →
nuke8–13-0.0027%3 Sept →
dust212–120.0315%3 Sept →
cache13–60.0327%3 Sept →
mirage5–130.0528%1 Sept →
train9–130.0425%1 Sept →
dust212–12-0.0119%1 Sept →
inferno13–10.0919%1 Sept →
mirage12–120.0024%1 Sept →
mirage12–120.0530%1 Sept →
dust27–13-0.0029%30 Aug →
cache13–100.0158%30 Aug →
ancient6–13-0.0213%30 Aug →
nuke13–10-0.0412%30 Aug →
mirage13–90.0423%30 Aug →
dust28–13-0.0323%29 Aug →
mirage13–100.0231%27 Aug →
cache10–130.0221%27 Aug →
train13–70.0936%27 Aug →
anubis13–30.0429%27 Aug →
cache12–12-0.0027%26 Aug →
ancient12–12-0.0333%26 Aug →
ancient2–13-0.0641%23 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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