whatever

whatever — CS2 Stats

76561198154047242[U:1:193781514]Steam profile ↗✓ No bans

1,890Tracked matches43%Win rate2020Tracked since
CSDB Rating5.2 DevelopingAll-Rounder
FaceitLevel 5 · 1,524 ELOTop 67.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify
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. 60 days played since 28 Oct 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,106 +215 28 Oct13 Jan · 35 days played
9,35112,907peak 12,90728 Oct13 Jan
13,334Peak Premier in tracked matches
1,524Highest Faceit ELO seen on CSDB
60Days played since 2025-10-28

Faceit ELO

  • At peak — 1,524
  • Next: Level 8 at 1,531 7 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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.GGwhateverFACEITLevel 5 · 1,524 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,524csdb.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

Aim71
Positioning48
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY52453Last 10052%Win rateLLWWLWWLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +2.2pp headshot accuracy · +9ms 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 652ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 674ms

Last 20

  • 911 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 669ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim7.1
Utility4.9
Positioning4.8
Opening Duels3.6
Clutch4.0

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

jL

Plays most like jL 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Areas to improve

Reaction time. 679ms 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

Aim7.1
Positioning4.8
Utility4.9
Mechanics7.9
Opening Duels2.3
Win Impact2.8

Composite 5.2/10 (Developing), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time680ms−48ms
first ⅓ avg 728ms → last ⅓ avg 680ms
Headshot accuracy23.2%+4.7%
first ⅓ avg 18.6% → last ⅓ avg 23.2%

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

0.16Best match rating · 13–6 · ancient, 8 Jan
58%Best headshot accuracy · 2–7 · anubis, 22 Jan
500msFastest reaction time · 13–9 · ancient, 12 Mar
13–1Biggest win · dust2, 1 Nov

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
912In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B36171947%0.00
ancientA2012860%0.02
infernoC146843%-0.00
mirageA138562%0.02
nukeS64267%0.01
overpass32167%-0.03
anubis31233%-0.02
train31233%-0.05
cache21150%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,971Matches
49%Win rate
1.11Avg K/D
82.7ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno20846%1.1317.1
Ancient16452%1.0916.5
Anubis14852%1.0716.5
Mirage13443%1.1215.4
Dust212848%1.2217.2
Nuke5050%1.0617.0
Overpass3951%1.0216.7
Vertigo2348%1.0916.9

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.

22.0%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.3%Spray accuracy
85.4%Counter-strafing
9.9°Preaim
679msReaction time
36.7%T opening success
41.9%CT opening success
0.68Enemies flashed / flash
10.0%Flash assists
9.28HE damage / grenade
3.03Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0346 — below the 4 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 36.7121% — 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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0116%29 Aug
cache6–130.0422%24 Jul
cache16–14-0.0511%17 Jul
dust213–60.0225%22 Jun
inferno11–130.0322%20 Jun
dust216–140.0218%29 May
ancient13–3-0.0227%6 May
overpass10–13-0.0528%26 Apr
anubis13–11-0.0538%22 Apr
ancient9–130.0514%20 Mar
inferno11–13-0.049%19 Mar
mirage13–100.0521%15 Mar
ancient13–90.0915%12 Mar
anubis9–13-0.0724%8 Mar
ancient13–100.0614%2 Mar
dust26–130.0417%2 Mar
dust26–130.0528%25 Feb
dust211–13-0.0418%21 Feb
ancient13–9-0.0226%18 Feb
ancient2–130.0527%15 Feb
inferno4–13-0.0722%8 Feb
dust20–13-0.0318%28 Jan
anubis2–70.0658%22 Jan
nuke9–13-0.0320%19 Jan
dust216–14-0.0136%13 Jan
overpass13–7-0.0114%13 Jan
nuke13–3-0.0343%10 Jan
train11–13-0.0511%9 Jan
ancient13–60.1617%8 Jan
dust29–13-0.0234%7 Jan
inferno13–110.0525%6 Jan
mirage13–50.0533%6 Jan
dust213–90.0217%5 Jan
dust215–15-0.0115%5 Jan
ancient8–13-0.0017%21 Dec
dust215–15-0.0125%19 Dec
mirage13–8-0.0229%19 Dec
dust211–130.0324%19 Dec
inferno15–150.0523%17 Dec
mirage8–130.0228%17 Dec
dust216–14-0.0313%13 Dec
dust26–13-0.0410%10 Dec
inferno6–130.0419%10 Dec
dust213–50.0724%7 Dec
dust216–130.0222%5 Dec
dust214–16-0.0211%4 Dec
dust213–40.0123%4 Dec
ancient13–90.0419%4 Dec
ancient5–13-0.0126%1 Dec
mirage11–13-0.0215%1 Dec
dust213–11-0.0214%27 Nov
ancient9–130.0111%27 Nov
ancient2–13-0.0725%26 Nov
dust212–16-0.037%23 Nov
ancient7–13-0.0013%21 Nov
ancient1–13-0.1023%21 Nov
mirage6–130.0219%20 Nov
inferno13–90.0117%20 Nov
ancient13–60.0623%20 Nov
mirage13–90.0722%19 Nov
inferno9–13-0.0111%19 Nov
dust212–160.0118%18 Nov
ancient13–40.0322%18 Nov
inferno13–70.0124%18 Nov
dust213–7-0.0229%18 Nov
train16–13-0.0410%18 Nov
dust213–6-0.0127%17 Nov
inferno14–16-0.0125%17 Nov
mirage11–13-0.0115%17 Nov
inferno16–140.0122%16 Nov
dust24–13-0.0517%15 Nov
dust213–70.0116%15 Nov
overpass13–7-0.0212%15 Nov
ancient13–7-0.0122%15 Nov
nuke13–50.0320%15 Nov
mirage13–60.0712%14 Nov
dust213–50.0820%14 Nov
mirage2–13-0.0417%13 Nov
mirage13–70.075%13 Nov
dust26–130.0218%12 Nov
mirage13–9-0.0024%9 Nov
dust211–13-0.0511%9 Nov
train7–13-0.0424%8 Nov
dust213–90.0920%8 Nov
inferno13–5-0.0419%7 Nov
ancient13–40.0718%7 Nov
inferno13–8-0.0221%7 Nov
mirage13–8-0.037%2 Nov
inferno11–13-0.0212%2 Nov
ancient13–30.0824%1 Nov
ancient13–8-0.0221%1 Nov
dust213–10.0440%1 Nov
nuke13–100.0515%31 Oct
dust23–13-0.0128%31 Oct
dust25–130.0216%31 Oct
dust213–4-0.0526%29 Oct
dust216–14-0.029%29 Oct
nuke13–90.0620%29 Oct
dust211–130.0427%28 Oct
dust27–13-0.029%28 Oct

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 →