GR4B||

GR4B|| — CS2 Stats

PL76561198185075646[U:1:224809918]Steam profile ↗✓ No bans

1,417Tracked matches37%Win rate2020Tracked since
2,818Hours in CS3Hrs last 2 wks
CSDB Rating2.6 LearningPositional Player
Premier CS Rating12,602Blue band · top ~41.1% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 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: 12,602 +82 17 May – 13 Nov · 33 days played
11,94316,060peak 16,06017 May13 Nov
16,060Peak Premier in tracked matches
597Highest Faceit ELO seen on CSDB
53Days played since 2026-05-17

Faceit ELO

  • At peak — 597
  • Next: Level 3 at 751 — 154 to go
  • Reached: Level 2
  • Level 2 first seen 2026-11-01

Premier CS Rating

  • 3,458 below peak (16,060)
  • -125 over 30 days · steady
  • -2,785 over 90 days
  • Next: Purple band at 15,000 — 2,398 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-11-01
  • Light Blue band first seen 2026-11-01

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 Blue band among CSDB-tracked players (n=23,968), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate31.0%42.0%44.4%13.4% short
Shot accuracy11.7%9.7%11.8%meets
Kill/death ratio0.790.981.030.24 short
Match win rate42.4%43.8%45.3%2.8% short

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

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

Share this profile

CSDB.GGGR4B||PREMIER12,602 · Blue bandPEAK ELO597csdb.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

Aim30
Positioning44
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY42–58Last 10042%Win rateLLLWWWWLLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −2.6pp headshot accuracy · −55ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 556ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 578ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

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 (+2.1 against its own average).

Aim3.0
Utility2.0
Positioning4.4
Opening Duels0.7
Clutch2.2

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

jL

Plays most like jL 74% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim3.0
Positioning4.4
Utility2.0
Mechanics2.4
Opening Duels2.8
Win Impact0.6

Composite 2.6/10 (Learning), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time599ms−3ms
first ⅓ avg 602ms → last ⅓ avg 599ms
Headshot accuracy15.1%−0.5%
first ⅓ avg 15.6% → last ⅓ avg 15.1%

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

0.11Best match rating · 13–7 · anubis, 12 Jul →
46%Best headshot accuracy · 3–13 · ancient, 18 Aug →
367msFastest reaction time · 13–10 · inferno, 25 Aug →
13–1Biggest win · ancient, 8 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 62% over 13mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2213–959%-0.02
ancientC166–1038%-0.02
nukeD155–1033%-0.02
cacheA138–562%-0.03
mirageD113–827%-0.03
dust2D113–827%-0.01
anubisD93–633%-0.02
overpass—20–20%-0.11
vertigo—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,173Lifetime kills
0.79K/D
4,374Matches
42.4%Match win rate
31.0%Headshot %
11.7%Shot accuracy · Top 50% of Blue band
6,378MVPs
1,601Hours (in match)
5,425Bombs planted
988Bombs defused

Most-used weapons

AK-477,938
P904,967
AWP4,818
MP72,267
SG 5532,131
MP91,594

Lifetime map wins

5,126inferno
5,006dust2
3,621nuke
1,938vertigo
942train
319cbble
175office
126safehouse

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

Faceit stats

Combat

142Matches
50%Win rate
0.78Avg K/D
62.6ADR
39%Headshot %

Clutches & streaks

31%1v1 clutch win
11%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2458%0.8612.6
Mirage2138%0.7011.7
Vertigo2025%0.7711.0
Dust22060%0.7010.8
Anubis1867%0.9111.2
Ancient1573%0.8513.3
Nuke933%0.8313.0
Cache667%0.6910.3

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.

15.3%Headshot accuracy
27.3%Accuracy (enemy spotted)
34.3%Spray accuracy
60.7%Counter-strafing
11.9°Preaim
600msReaction time
42.5%T opening success
39.8%CT opening success
0.35Enemies flashed / flash
0.0%Flash assists
7.17HE damage / grenade
1.87Flashes / 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 0.3539 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.8219% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–16-0.059%13 Nov →
nuke3–13-0.0710%13 Nov →
nuke4–13-0.1415%10 Nov →
anubis13–110.0026%4 Nov →
cache13–100.0514%4 Nov →
mirage13–110.0113%26 Oct →
ancient13–10-0.0610%21 Oct →
anubis3–6-0.0510%21 Oct →
inferno11–13-0.0317%20 Oct →
ancient8–130.0312%20 Oct →
mirage13–60.0215%27 Sept →
mirage13–5-0.0228%27 Sept →
nuke13–100.0320%27 Sept →
nuke8–130.0017%22 Sept →
dust213–11-0.0511%19 Sept →
mirage5–13-0.0716%19 Sept →
inferno10–130.0414%18 Sept →
nuke13–10-0.036%18 Sept →
inferno10–130.0420%16 Sept →
dust27–130.0113%13 Sept →
mirage9–13-0.0610%9 Sept →
mirage11–13-0.0716%8 Sept →
ancient13–10.0510%8 Sept →
mirage4–13-0.0515%30 Aug →
ancient7–13-0.0417%30 Aug →
dust210–130.0122%30 Aug →
cache13–8-0.0515%27 Aug →
inferno3–13-0.0138%27 Aug →
anubis10–13-0.0215%26 Aug →
cache2–13-0.097%26 Aug →
inferno13–10-0.0410%25 Aug →
inferno13–8-0.0916%25 Aug →
nuke13–70.0311%25 Aug →
mirage3–13-0.036%24 Aug →
inferno10–13-0.0612%20 Aug →
ancient11–13-0.046%20 Aug →
ancient16–12-0.0013%19 Aug →
ancient3–13-0.0446%18 Aug →
cache13–9-0.0413%18 Aug →
nuke13–11-0.0212%18 Aug →
mirage8–13-0.0323%18 Aug →
ancient13–9-0.0115%17 Aug →
inferno13–8-0.0114%13 Aug →
inferno13–90.0513%10 Aug →
ancient11–130.0310%7 Aug →
inferno13–7-0.0016%7 Aug →
overpass5–9-0.159%6 Aug →
cache13–8-0.0518%6 Aug →
cache13–10.045%6 Aug →
nuke11–13-0.0022%6 Aug →
anubis5–13-0.044%31 Jul →
inferno13–11-0.0212%31 Jul →
inferno13–20.0242%31 Jul →
ancient13–40.0616%31 Jul →
mirage10–13-0.0514%30 Jul →
ancient11–13-0.0612%30 Jul →
anubis5–13-0.0329%30 Jul →
cache5–13-0.0412%29 Jul →
dust24–130.048%29 Jul →
anubis6–13-0.0616%28 Jul →
inferno13–100.0114%27 Jul →
dust26–13-0.033%16 Jul →
nuke10–130.0214%16 Jul →
ancient5–13-0.085%15 Jul →
nuke4–13-0.068%14 Jul →
ancient8–13-0.0113%13 Jul →
inferno13–100.0314%13 Jul →
inferno16–14-0.0521%13 Jul →
cache13–4-0.0335%13 Jul →
nuke3–9-0.1114%13 Jul →
nuke4–13-0.0514%12 Jul →
nuke4–130.0216%12 Jul →
cache11–13-0.0610%12 Jul →
anubis13–90.0018%12 Jul →
anubis13–70.1118%12 Jul →
inferno13–10-0.0211%9 Jul →
dust26–130.0115%7 Jul →
ancient13–4-0.0217%6 Jul →
inferno13–160.0119%30 Jun →
dust213–40.0017%29 Jun →
vertigo9–40.0714%29 Jun →
inferno13–11-0.007%25 Jun →
nuke13–80.0317%25 Jun →
cache13–8-0.0319%24 Jun →
nuke7–130.0516%24 Jun →
inferno6–13-0.0513%24 Jun →
anubis5–13-0.075%23 Jun →
dust21–13-0.0825%23 Jun →
mirage10–13-0.0214%10 Jun →
ancient7–13-0.066%5 Jun →
dust24–13-0.0311%5 Jun →
dust28–130.0114%29 May →
cache5–13-0.067%28 May →
cache13–3-0.0110%27 May →
dust213–30.0418%27 May →
overpass7–13-0.0721%21 May →
ancient3–13-0.0116%21 May →
inferno10–130.0013%18 May →
inferno13–5-0.0518%17 May →
inferno3–9-0.1326%17 May →

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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