Ga5s

Ga5s — CS2 Stats

FI76561198011852459[U:1:51586731]Steam profile ↗✓ No bans

561Tracked matches53%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
FaceitLevel 9 · 1,775 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,775 → 1,775
+3Tracked matches · now 561
0.0ppWin rate · 53.3% → 53.3%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 48 days played since 16 Mar 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,693 +8,081 16 Mar1 Mar · 18 days played
12,04320,937peak 20,93716 Mar1 Mar
Faceit ELO: 1,775 +0 30 Aug13 Sept · 3 observations
1,7751,775peak 1,77530 Aug13 Sept
20,937Peak Premier in tracked matches
1,775Highest Faceit ELO seen on CSDB
48Days played since 2024-03-16

Faceit ELO

  • At peak — 1,775
  • Next: Level 10 at 2,001 226 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-30
  • Level 8 first seen 2026-08-30

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.

Share this profile

CSDB.GGGa5sFACEITLevel 9 · 1,775 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,775csdb.gg/stats

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Performance scores

Aim80
Positioning50
Utility27

0–100 skill scores via Leetify.

Recent form

COLD53452Last 10053%Win rateLWLLWLLWLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +1.3pp headshot accuracy · +13ms reaction

Win rate down 40pp 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 505ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 581ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 574ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim8.0
Utility2.7
Positioning5.0
Opening Duels3.9
Clutch2.8

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 565ms 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

Aim8.0
Positioning5.0
Utility2.7
Mechanics6.7
Opening Duels3.5
Win Impact6.1

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.05
first ⅓ avg 0.04 → last ⅓ avg -0.01
Reaction time568ms−63ms
first ⅓ avg 631ms → last ⅓ avg 568ms
Headshot accuracy21.5%+4.1%
first ⅓ avg 17.4% → last ⅓ avg 21.5%

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

0.28Best match rating · 13–1 · nuke, 12 Dec
38%Best headshot accuracy · 5–13 · anubis, 16 Sept
422msFastest reaction time · 13–11 · anubis, 3 Jul
13–0Biggest win · inferno, 27 Jan

Across the last 100 tracked matches.

Highlights

7Longest win streak
88In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 80% over 15dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB22101245%0.01
infernoC1881044%0.05
ancientS1512380%0.04
anubisA138562%0.01
dust2D92722%0.02
overpassS96367%0.05
mirageC73443%0.04
vertigo2020%-0.01
cache220100%0.04
train220100%0.02
eldorado1010%-0.15

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

744Matches
53%Win rate
1.00Avg K/D
69.2ADR
38%Headshot %

Clutches & streaks

34%1v1 clutch win
12%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke2544%0.9014.0
Inferno2162%1.0314.1
Anubis1867%0.9615.2
Overpass1050%0.7811.3
Ancient967%0.9913.7
Dust2862%0.8714.3
Train743%0.8813.6
Cache560%0.7411.8

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.

21.5%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.4%Spray accuracy
79.9%Counter-strafing
9.3°Preaim
565msReaction time
39.8%T opening success
47.8%CT opening success
0.21Enemies flashed / flash
2.6%Flash assists
12.02HE damage / grenade
3.86Flashes / 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 0.2118 — 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 39.8086% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0738%16 Sept
anubis13–90.0316%4 Sept
anubis11–130.0123%4 Sept
vertigo4–13-0.0438%20 Aug
nuke9–4-0.0415%20 Aug
eldorado6–9-0.1523%20 Aug
dust211–13-0.0315%16 Jul
nuke13–30.0630%16 Jul
mirage6–13-0.0617%12 Jul
dust210–13-0.0216%12 Jul
nuke6–13-0.0414%9 Jul
inferno13–80.0819%9 Jul
nuke13–6-0.0722%6 Jul
anubis13–11-0.0424%6 Jul
cache13–8-0.0737%6 Jul
nuke13–6-0.0231%3 Jul
anubis13–11-0.0323%3 Jul
cache13–90.1514%7 May
inferno11–130.0614%17 Mar
anubis10–130.0119%1 Mar
ancient10–13-0.0223%28 Feb
overpass9–13-0.0726%28 Feb
ancient13–110.0216%27 Feb
inferno7–13-0.1011%27 Feb
dust213–20.0738%27 Feb
inferno13–20.1136%26 Feb
mirage7–13-0.0222%26 Feb
anubis13–6-0.0214%26 Feb
nuke13–9-0.0113%24 Feb
anubis13–50.0011%24 Feb
ancient13–80.0224%23 Feb
inferno9–13-0.0119%23 Feb
inferno14–16-0.0311%19 Feb
dust23–13-0.0429%19 Feb
anubis16–120.0423%7 Feb
overpass13–6-0.063%7 Feb
nuke13–80.0417%7 Feb
inferno13–60.0015%6 Feb
overpass13–60.0031%6 Feb
overpass9–130.0114%5 Feb
ancient15–150.0730%5 Feb
nuke9–13-0.0920%4 Feb
anubis13–4-0.0216%4 Feb
nuke6–13-0.0413%3 Feb
anubis14–160.0811%3 Feb
mirage13–11-0.0635%29 Jan
inferno13–60.0514%29 Jan
inferno13–00.1417%27 Jan
overpass16–130.0520%27 Jan
anubis10–130.0414%23 Jan
inferno11–130.1017%23 Jan
ancient13–60.0415%23 Dec
nuke13–110.0415%23 Dec
ancient13–80.0411%20 Dec
nuke9–130.0317%20 Dec
overpass13–50.1516%20 Dec
ancient13–100.1118%20 Dec
inferno13–80.1916%19 Dec
ancient13–50.1118%19 Dec
mirage9–130.1023%19 Dec
nuke13–90.1512%19 Dec
ancient13–110.0221%12 Dec
dust213–00.0616%12 Dec
nuke13–10.2818%12 Dec
nuke10–13-0.0320%9 Dec
dust23–13-0.0727%9 Dec
dust27–130.1816%29 Nov
overpass13–100.2520%29 Nov
inferno6–130.0527%29 Nov
train13–30.0218%18 Nov
train16–120.027%11 Nov
nuke7–13-0.0713%10 Nov
inferno14–16-0.047%16 Jul
overpass13–16-0.0114%16 Jul
nuke13–16-0.0318%2 Jul
ancient10–13-0.0624%4 Jun
dust28–13-0.0317%4 Jun
ancient13–110.0219%3 Jun
nuke13–100.0319%3 Jun
nuke8–130.0619%24 May
inferno13–160.0619%21 Feb
nuke13–16-0.0213%21 Feb
dust211–130.038%1 May
nuke8–130.0319%18 Apr
inferno13–40.0315%18 Apr
inferno5–130.0130%17 Apr
mirage13–50.1615%17 Apr
ancient13–90.0816%17 Apr
ancient13–4-0.0614%17 Apr
ancient13–100.0925%14 Apr
overpass13–10.1116%14 Apr
anubis13–70.088%14 Apr
mirage13–110.0820%6 Apr
nuke10–130.0622%6 Apr
inferno15–150.0221%3 Apr
ancient13–60.0824%3 Apr
nuke7–130.018%30 Mar
mirage13–160.0824%16 Mar
vertigo9–130.0215%16 Mar
inferno16–120.1124%16 Mar

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 →