Garji

Garji — CS2 Stats

US76561198082498048[U:1:122232320]Steam profile ↗✓ No bans

2,680Tracked matches63%Win rate2020Tracked since
5,600Hours in CS23Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+46Tracked matches · now 2,680
−2.6ppWin rate · 65.5% → 63.0%

Rating over time

Faceit ELO: 1,658 +0 30 Aug – 20 Sept · 6 observations
1,6581,658peak 1,65830 Aug20 Sept
1,658Highest Faceit ELO seen on CSDB
31Days played since 2026-07-07

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

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CSDB.GGGarjiPEAK ELO1,658csdb.gg/stats

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Performance scores

Aim87
Positioning70
Utility51

0–100 skill scores via Leetify.

Recent form

HOT53–40–7Last 10053%Win rateWLWWWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −0.1pp headshot accuracy · −30ms 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 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 588ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 549ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 564ms

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).

Aim8.7
Utility5.1
Positioning7.0
Opening Duels3.8
Clutch6.6

Sharp aimer

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 93% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 552ms 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

Aim8.7
Positioning7.0
Utility5.1
Mechanics7.0
Opening Duels4.3
Win Impact9.3

Composite 7.2/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time548ms−4ms
first ⅓ avg 553ms → last ⅓ avg 548ms
Headshot accuracy23.7%+2.1%
first ⅓ avg 21.6% → 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

0.26Best match rating · 9–1 · nuke, 16 Sept →
75%Best headshot accuracy · 3–0 · vertigo, 9 Sept →
297msFastest reaction time · 0–4 · rush_001, 14 Oct →
13–1Biggest win · ancient, 15 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 69% over 13infernoWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2A1912–763%0.03
infernoC176–1135%0.01
mirageC167–944%0.02
nukeS139–469%0.04
ancientA127–558%0.03
anubisC52–340%-0.02
rush_001C52–340%-0.01
cache—42–250%-0.02
train—31–233%0.01
overpass—22–0100%0.09
vertigo—21–150%0.03
office—11–0100%0.16
fachwerk—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

195,257Lifetime kills
1.13K/D · Top 50% of tracked players
7,240Matches
45.4%Match win rate · Top 50% of tracked players
48.5%Headshot % · Top 50% of tracked players
15.5%Shot accuracy · Top 25% of tracked players
22,517MVPs
4,837Hours (in match)
9,828Bombs planted
4,456Bombs defused

Most-used weapons

AK-4766,325
AWP30,322
SSG 084,330
FAMAS3,283
P2502,841

Lifetime map wins

20,479dust2
14,898inferno
5,063nuke
3,935vertigo
2,541train
510lake
373cbble
214office

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

Faceit stats

Combat

978Matches
51%Win rate
1.05Avg K/D
91.6ADR
44%Headshot %

Clutches & streaks

53%1v1 clutch win
43%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage989%1.2618.4
Inferno683%1.7119.5
Ancient540%1.3619.8
Anubis3100%2.0626.7
Train1100%2.2916.0
Nuke10%1.0618.0
Dust210%0.7213.0

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.

24.5%Headshot accuracy
39.6%Accuracy (enemy spotted)
41.8%Spray accuracy
81.6%Counter-strafing
10.2°Preaim
552msReaction time
43.1%T opening success
51.2%CT opening success
0.63Enemies flashed / flash
14.3%Flash assists
9.18HE damage / grenade
5.77Flashes / match

Recommended for you

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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.1221%31 Oct →
dust28–13-0.0428%29 Oct →
mirage16–140.0213%29 Oct →
mirage13–70.0120%29 Oct →
nuke13–11-0.0529%28 Oct →
ancient13–60.0424%28 Oct →
mirage13–50.0228%28 Oct →
anubis13–60.0633%28 Oct →
train11–130.0333%25 Oct →
dust213–110.0429%25 Oct →
inferno12–120.0529%22 Oct →
cache13–9-0.0422%22 Oct →
overpass9–30.1017%22 Oct →
nuke13–70.0445%16 Oct →
rush_0013–70.0025%16 Oct →
mirage9–13-0.0020%16 Oct →
dust213–8-0.0319%16 Oct →
rush_0018–60.0143%14 Oct →
rush_0018–50.0917%14 Oct →
dust28–130.0223%14 Oct →
mirage13–7-0.039%14 Oct →
ancient7–130.0114%14 Oct →
rush_0010–4-0.180%14 Oct →
rush_0012–60.037%14 Oct →
dust27–130.0130%11 Oct →
mirage12–120.0922%11 Oct →
ancient13–70.0718%11 Oct →
dust211–130.0431%8 Oct →
nuke13–90.1235%8 Oct →
dust213–30.0832%7 Oct →
ancient6–130.1233%30 Sept →
inferno9–130.0419%30 Sept →
dust210–130.0318%30 Sept →
mirage13–80.1020%30 Sept →
inferno12–12-0.0321%25 Sept →
ancient13–5-0.0931%25 Sept →
cache8–13-0.0315%25 Sept →
ancient13–90.0435%24 Sept →
nuke13–90.0221%24 Sept →
inferno6–13-0.1014%24 Sept →
mirage9–130.0221%24 Sept →
anubis13–6-0.0213%17 Sept →
dust213–60.0513%16 Sept →
mirage5–13-0.0321%16 Sept →
inferno6–13-0.0123%16 Sept →
nuke12–120.0719%16 Sept →
inferno13–30.0715%16 Sept →
vertigo6–90.0217%16 Sept →
nuke9–10.2624%16 Sept →
ancient10–130.0411%9 Sept →
vertigo3–00.0475%9 Sept →
dust213–80.0226%9 Sept →
mirage13–80.0231%9 Sept →
nuke13–50.1530%9 Sept →
anubis5–13-0.0815%8 Sept →
nuke13–4-0.0622%8 Sept →
dust213–80.0722%8 Sept →
ancient13–8-0.0218%8 Sept →
mirage8–130.0218%7 Sept →
cache13–11-0.0224%7 Sept →
nuke5–13-0.0733%7 Sept →
inferno13–10-0.0028%7 Sept →
dust213–30.1229%7 Sept →
nuke13–30.0027%6 Sept →
mirage13–8-0.0314%6 Sept →
inferno13–30.0220%4 Sept →
inferno8–130.0228%4 Sept →
mirage9–130.0420%4 Sept →
inferno10–130.0421%4 Sept →
inferno9–130.0419%3 Sept →
overpass13–110.0820%3 Sept →
inferno13–20.1417%3 Sept →
office3–10.1656%3 Sept →
mirage15–150.0728%3 Sept →
ancient7–13-0.0411%3 Sept →
inferno7–9-0.0318%3 Sept →
ancient13–10.1518%15 Aug →
train10–130.0026%14 Aug →
ancient5–13-0.047%14 Aug →
anubis8–13-0.0329%14 Aug →
nuke13–80.0323%14 Aug →
dust26–130.0139%14 Aug →
cache12–12-0.0144%13 Aug →
train13–8-0.0118%13 Aug →
inferno13–3-0.0512%13 Aug →
ancient13–70.0518%13 Aug →
dust211–130.1114%13 Aug →
nuke9–130.0111%4 Aug →
dust213–4-0.0415%4 Aug →
inferno8–13-0.0518%4 Aug →
anubis14–16-0.0226%4 Aug →
inferno9–13-0.0321%30 Jul →
dust213–110.0331%30 Jul →
dust213–5-0.0812%30 Jul →
dust213–10-0.0317%17 Jul →
inferno13–90.0216%16 Jul →
mirage3–13-0.0414%16 Jul →
fachwerk13–10-0.0533%11 Jul →
mirage15–150.0229%10 Jul →
nuke11–130.0216%7 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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