Grex

Grex — CS2 Stats

EE76561199213105452[U:1:1252839724]Steam profile ↗VAC banned

635Tracked matches45%Win rate2021Tracked since
2,144Hours in CS11Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
CSDB Leaderboard#53730 of 247983 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,982 +1,983 30 Dec – 11 Jul · 19 days played
17,29021,982peak 21,98230 Dec11 Jul
21,982Peak Premier in tracked matches
41Days played since 2024-12-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim80
Positioning50
Utility30

0–100 skill scores via Leetify.

Recent form

COLD46–50–4Last 10046%Win rateLLWWLLLLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +3.8pp headshot accuracy · +37ms 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 -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 542ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 532ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 514ms

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).

Aim8.0
Utility3.0
Positioning5.0
Opening Duels2.8

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 92% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

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
Utility3.0
Mechanics6.8
Opening Duels3.3
Win Impact3.3

Composite 5.5/10 (Solid), 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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time548ms−111ms
first ⅓ avg 659ms → last ⅓ avg 548ms
Headshot accuracy22.4%−2.4%
first ⅓ avg 24.9% → last ⅓ avg 22.4%

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

0.14Best match rating · 13–7 · mirage, 22 Feb →
56%Best headshot accuracy · 13–11 · mirage, 8 Mar →
281msFastest reaction time · 13–8 · ancient, 8 Sept →
13–1Biggest win · anubis, 8 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
11–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

vertigoBest map · 80% over 5infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB3817–2145%0.00
ancientB158–753%0.01
anubisB136–746%0.01
nukeC104–640%-0.00
dust2B84–450%0.00
infernoD72–529%-0.01
vertigoS54–180%0.03
train—21–150%0.01
cache—10–10%-0.05
overpass—10–10%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,040Lifetime kills
1.06K/D · Top 50% of tracked players
1,470Matches
49.7%Match win rate · Top 25% of tracked players
55.0%Headshot % · Top 10% of tracked players
11.7%Shot accuracy · Top 50% of tracked players
3,646MVPs
506Hours (in match)
1,134Bombs planted
361Bombs defused

Most-used weapons

Lifetime map wins

985inferno
948dust2
733nuke
627train
565vertigo
249office
74cbble
17italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.7%Headshot accuracy
33.7%Accuracy (enemy spotted)
39.1%Spray accuracy
80.7%Counter-strafing
8.7°Preaim
548msReaction time
46.5%T opening success
40.2%CT opening success
0.47Enemies flashed / flash
3.5%Flash assists
4.64HE damage / grenade
7.59Flashes / 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 0.467 — below the 0.5 mark we flag

    Grenade Lineups →
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0115%1 Oct →
anubis8–13-0.0220%1 Oct →
anubis13–80.0523%1 Oct →
mirage13–11-0.0633%1 Oct →
nuke10–130.0215%1 Oct →
anubis11–13-0.0120%1 Oct →
dust23–13-0.0340%30 Sept →
anubis5–13-0.0116%26 Sept →
dust28–13-0.0113%24 Sept →
ancient13–110.0716%24 Sept →
vertigo12–120.0726%24 Sept →
mirage7–13-0.0514%24 Sept →
mirage11–13-0.0319%24 Sept →
mirage11–13-0.0416%23 Sept →
mirage10–130.0625%9 Sept →
ancient13–80.0218%8 Sept →
anubis13–10.0621%8 Sept →
dust213–50.0516%8 Sept →
cache6–13-0.0510%8 Sept →
mirage13–100.039%8 Sept →
vertigo13–4-0.0024%22 Aug →
mirage7–13-0.0621%20 Aug →
mirage13–3-0.0435%15 Aug →
mirage7–13-0.0740%14 Aug →
nuke13–60.0215%10 Oct →
ancient9–13-0.0419%10 Oct →
mirage16–140.0428%8 Sept →
ancient13–5-0.0320%11 Jul →
mirage7–13-0.0250%11 Jul →
mirage13–90.0124%11 Jul →
anubis13–100.0129%11 Jul →
mirage5–13-0.0614%11 Jul →
mirage13–20.0937%10 Jul →
anubis13–70.0227%10 Jul →
inferno13–70.0213%5 Jul →
dust28–13-0.0321%5 Jul →
mirage13–50.0529%5 Jul →
mirage1–13-0.0810%5 Jul →
mirage13–9-0.0330%5 Jul →
nuke0–13-0.0713%5 Jul →
mirage15–15-0.0423%2 Jul →
mirage14–16-0.0516%1 Jul →
ancient9–13-0.0129%1 Jul →
inferno12–16-0.0422%1 Jul →
train13–6-0.0016%29 Jun →
ancient13–11-0.0117%28 Jun →
inferno5–13-0.098%25 Jun →
anubis13–80.0418%25 Jun →
mirage9–130.0217%25 Jun →
dust211–6-0.0217%23 Jun →
mirage13–9-0.0221%23 Jun →
mirage13–70.0831%23 Jun →
mirage13–60.0525%23 Jun →
mirage4–13-0.0223%23 Jun →
inferno13–80.0837%23 Jun →
ancient13–11-0.0214%6 Jun →
mirage6–13-0.0215%1 Apr →
nuke13–110.0633%21 Mar →
mirage13–50.1030%21 Mar →
dust28–13-0.0343%8 Mar →
nuke7–13-0.0130%8 Mar →
mirage16–120.0125%8 Mar →
mirage13–110.0456%8 Mar →
anubis11–13-0.0321%28 Feb →
ancient16–14-0.0018%27 Feb →
nuke13–80.0119%26 Feb →
anubis13–16-0.0436%22 Feb →
mirage13–70.1424%22 Feb →
anubis11–130.0627%20 Feb →
ancient8–130.0133%16 Feb →
ancient13–80.0727%16 Feb →
anubis15–15-0.0131%16 Feb →
nuke4–9-0.0721%16 Feb →
inferno4–9-0.1014%16 Feb →
nuke13–90.0227%16 Feb →
ancient13–110.0623%16 Feb →
dust213–50.1243%16 Feb →
mirage8–130.0125%16 Feb →
ancient9–130.0115%16 Feb →
mirage13–110.0023%8 Feb →
inferno14–160.0321%8 Feb →
mirage8–13-0.0426%8 Feb →
mirage6–13-0.0139%28 Jan →
mirage8–130.0020%24 Jan →
mirage15–150.0329%15 Jan →
anubis13–9-0.0126%12 Jan →
vertigo13–8-0.0228%12 Jan →
mirage7–13-0.0235%11 Jan →
vertigo13–10.1118%4 Jan →
vertigo13–110.0121%4 Jan →
ancient9–13-0.0921%4 Jan →
mirage13–9-0.0131%4 Jan →
nuke8–13-0.0132%4 Jan →
overpass5–90.0520%4 Jan →
inferno7–130.0225%2 Jan →
train11–130.0326%2 Jan →
mirage8–130.0118%2 Jan →
ancient8–130.0615%2 Jan →
dust213–9-0.0117%30 Dec →
nuke8–130.0020%30 Dec →

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 →

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