adrian

adrian — CS2 Stats

76561198271722735[U:1:311457007]Steam profile ↗✓ No bans

269Tracked matches37%Win rate2020Tracked since
CSDB Rating4.5 DevelopingPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 61 days played since 4 Sep 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,502 -3,149 21 Jan23 Oct · 24 days played
6,36712,869peak 12,86921 Jan23 Oct
13,130Peak Premier in tracked matches
61Days played since 2023-09-04

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.

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CSDB.GGadrianFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning45
Utility16

0–100 skill scores via Leetify.

Recent form

COLD46504Last 10046%Win rateLWLLLWLWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +3.3pp headshot accuracy · +84ms reaction

Win rate 0pp 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

  • 14 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 33%
  • Avg reaction 736ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 712ms

Last 20

  • 614 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 670ms

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 (+2.4 against its own average).

Aim6.5
Utility1.6
Positioning4.5
Opening Duels2.4
Clutch0.0

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 84% 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

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

Reaction time. 676ms 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

Aim6.5
Positioning4.5
Utility1.6
Mechanics8.3
Opening Duels1.5
Win Impact0.6

Composite 4.5/10 (Developing), 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-0.01−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time674ms−9ms
first ⅓ avg 683ms → last ⅓ avg 674ms
Headshot accuracy23.4%+3.0%
first ⅓ avg 20.5% → last ⅓ avg 23.4%

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

0.28Best match rating · 9–1 · vertigo, 18 Oct
57%Best headshot accuracy · 13–8 · mirage, 14 Sept
438msFastest reaction time · 6–13 · inferno, 7 Nov
13–1Biggest win · mirage, 15 Mar

Across the last 100 tracked matches.

Highlights

6Longest win streak
511In matches decided by ≤2 rounds
9Overtime games

Map breakdown

vertigoBest map · 67% over 9infernoWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB39201951%0.00
dust2B1991047%0.01
infernoD1531220%-0.00
vertigoS96367%0.03
nukeD82625%-0.00
overpass43175%0.01
anubis330100%0.00
cache2020%-0.08
ancient1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

43Matches
63%Win rate
1.20Avg K/D
63.8ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.7611.0
Inferno10%0.6710.0
Dust21100%1.0716.0

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.

24.2%Headshot accuracy
31.4%Accuracy (enemy spotted)
27.6%Spray accuracy
87.2%Counter-strafing
9.2°Preaim
676msReaction time
33.4%T opening success
38.5%CT opening success
0.32Enemies flashed / flash
3.2%Flash assists
8.37HE damage / grenade
1.83Flashes / 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 0.3183 — 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 33.3612% — below the 40% mark we flag

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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0852%3 May
mirage13–110.0134%2 May
cache2–13-0.086%2 May
dust29–13-0.0850%9 Dec
mirage3–13-0.0023%9 Dec
dust213–6-0.0112%17 Nov
nuke6–13-0.0315%11 Nov
nuke13–20.0325%11 Nov
mirage10–13-0.0016%11 Nov
mirage5–13-0.0310%9 Nov
ancient6–13-0.0411%7 Nov
inferno6–13-0.0513%7 Nov
inferno12–130.0120%7 Nov
mirage13–70.0322%6 Nov
dust22–12-0.0229%6 Nov
mirage13–10-0.1010%6 Nov
nuke13–60.0529%6 Nov
mirage4–130.0234%5 Nov
dust211–13-0.0426%14 Oct
dust210–130.0218%3 Oct
mirage13–10-0.0226%3 Oct
mirage13–8-0.0457%14 Sept
dust27–130.0143%14 Sept
dust213–9-0.0715%8 Sept
mirage13–90.0422%23 Dec
mirage11–130.0330%22 Dec
dust213–30.0225%23 Oct
vertigo9–10.2836%18 Oct
dust27–13-0.0711%18 Oct
mirage3–13-0.0215%17 Oct
mirage5–13-0.1012%8 Sept
dust216–120.0114%5 Sept
mirage10–13-0.0614%4 Sept
mirage8–110.0628%27 Aug
vertigo11–130.0127%26 Aug
mirage13–30.0233%25 Aug
mirage11–13-0.0413%25 Aug
mirage13–70.0329%24 Aug
mirage13–160.0924%24 Aug
dust26–13-0.0219%24 Aug
dust211–13-0.0132%24 Aug
mirage7–130.0230%20 Jul
vertigo13–2-0.027%20 Jul
dust213–20.1929%20 Jul
anubis13–110.0216%17 Jul
mirage13–60.0623%16 Jul
mirage13–7-0.0420%22 Jun
dust213–30.0613%22 Jun
nuke11–13-0.0332%19 Jun
inferno7–13-0.0321%19 Jun
nuke2–130.0037%4 Jun
mirage12–16-0.0517%30 May
vertigo13–10-0.0118%30 May
vertigo7–13-0.0333%27 May
inferno5–130.0131%15 Apr
nuke9–130.0441%20 Mar
dust25–13-0.0327%18 Mar
dust212–120.0624%18 Mar
mirage13–60.0726%18 Mar
overpass12–12-0.0733%15 Mar
dust213–20.0520%15 Mar
mirage13–10.0530%15 Mar
dust213–10.1122%14 Mar
inferno4–130.0143%7 Mar
mirage13–16-0.048%4 Mar
nuke5–4-0.0610%27 Feb
vertigo4–13-0.0619%26 Feb
anubis13–11-0.049%8 Feb
mirage13–9-0.0018%7 Feb
inferno7–12-0.0222%5 Feb
mirage9–13-0.0226%5 Feb
inferno13–11-0.0518%5 Feb
mirage13–7-0.0313%4 Feb
mirage3–13-0.0525%4 Feb
vertigo13–10-0.0723%21 Jan
mirage13–60.047%20 Jan
inferno13–60.0219%19 Jan
inferno1–100.0423%15 Jan
dust213–70.0729%15 Jan
overpass13–100.0018%14 Jan
inferno10–130.0121%14 Jan
mirage13–9-0.0119%13 Jan
inferno1–13-0.0632%11 Jan
nuke11–13-0.0218%10 Jan
vertigo13–50.0518%9 Jan
mirage13–50.0926%9 Jan
inferno15–150.0426%9 Jan
overpass16–130.0811%9 Jan
mirage13–40.0319%9 Jan
inferno11–130.0927%9 Jan
mirage13–70.1022%8 Jan
vertigo13–50.1028%8 Jan
mirage11–160.0323%18 Sept
inferno15–15-0.0312%11 Sept
mirage9–13-0.0318%11 Sept
mirage13–40.1022%10 Sept
mirage11–16-0.0415%10 Sept
anubis13–90.0328%8 Sept
inferno13–9-0.0122%8 Sept
overpass13–110.0417%4 Sept

Match data via Leetify.

Recent teammates

Milestones

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