walgudBiceps

walgudBiceps — CS2 Stats

76561198262614981[U:1:302349253]Steam profile ↗✓ No bans

445Tracked matches66%Win rate2023Tracked since
620Hours in CS
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating11,592Blue band · top ~46.5% of ranked players (population est.)
FaceitLevel 5 · 1,048 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (7 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.

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. 39 days played since 26 May 2026. 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: 11,592 +520 20 Jun – 17 Sept · 30 days played
8,26215,567peak 15,56720 Jun17 Sept
15,740Peak Premier in tracked matches
1,048Highest Faceit ELO seen on CSDB
39Days played since 2026-05-26

Faceit ELO

  • At peak — 1,048
  • Next: Level 5 at 1,051 — 3 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-01
  • Level 3 first seen 2026-09-01

Premier CS Rating

  • 3,975 below peak (15,567)
  • +1,592 over 30 days · improving
  • +520 over 90 days
  • Next: Purple band at 15,000 — 3,408 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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 Level 5 among CSDB-tracked players (n=13,045), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate39.8%43.8%44.8%5.0% short
Shot accuracy14.9%12.0%12.5%above
Kill/death ratio0.921.021.030.12 short
Match win rate39.9%44.7%45.2%5.3% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGwalgudBicepsFACEITLevel 5 · 1,048 ELOSTANDINGTop 67.6% of rankedPREMIER11,592 · Blue bandPEAK ELO1,048csdb.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

Aim44
Positioning51
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLWLWWLWWLW

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · +0.6pp headshot accuracy · +13ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 653ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 654ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 648ms

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 against its own average).

Aim4.4
Utility4.6
Positioning5.1
Opening Duels2.8
Clutch0.0

Strong CT-side opener

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 opening-duel success; lower 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

Areas to improve

T-side openings. Opening success drops from 51% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 656ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.4
Positioning5.1
Utility4.6
Mechanics3.5
Opening Duels2.7
Win Impact10.0

Composite 4.6/10 (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 rating-0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time656ms−20ms
first ⅓ avg 676ms → last ⅓ avg 656ms
Headshot accuracy13.2%+3.1%
first ⅓ avg 10.1% → last ⅓ avg 13.2%

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

0.10Best match rating · 9–1 · inferno, 15 Jun →
33%Best headshot accuracy · 5–13 · dust2, 23 Jul →
383msFastest reaction time · 3–13 · dust2, 31 Jul →
13–1Biggest win · dust2, 11 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 55% over 11mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C3714–2338%-0.02
infernoB2814–1450%-0.02
ancientA116–555%-0.02
mirageD103–730%-0.03
nukeB63–350%0.00
anubis—43–175%0.00
cache—42–250%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,138Lifetime kills
0.92K/D
1,594Matches
39.9%Match win rate
39.8%Headshot %
14.9%Shot accuracy · Top 50% of Level 5 players
2,723MVPs
620Hours (in match)
2,376Bombs planted
264Bombs defused

Most-used weapons

Lifetime map wins

7,990dust2
4,345inferno
324nuke
31italy
29shorttrain
28stmarc
28safehouse
27lake

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

Faceit stats

Combat

22Matches
55%Win rate
0.77Avg K/D
68.0ADR
35%Headshot %

Clutches & streaks

17%1v1 clutch win
8%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2757%0.6810.9
Mirage475%0.7210.3
Inferno333%0.6711.3
Ancient250%0.749.0
Overpass1100%1.4217.0
Nuke10%0.7919.0

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.

13.0%Headshot accuracy
36.8%Accuracy (enemy spotted)
36.2%Spray accuracy
65.5%Counter-strafing
11.1°Preaim
656msReaction time
29.3%T opening success
51.4%CT opening success
0.50Enemies flashed / flash
2.3%Flash assists
6.08HE damage / grenade
5.82Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.9539% — below the 15% mark we flag

    Aim Training →
  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 29.3479% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.059%17 Sept →
inferno13–5-0.0314%17 Sept →
inferno13–16-0.0715%17 Sept →
inferno13–6-0.048%17 Sept →
dust213–11-0.0125%17 Sept →
dust22–13-0.024%16 Sept →
inferno13–3-0.0121%16 Sept →
dust213–90.0211%12 Sept →
inferno8–13-0.0910%12 Sept →
anubis13–30.0310%11 Sept →
anubis13–11-0.027%11 Sept →
inferno13–50.0519%5 Sept →
anubis13–100.0715%5 Sept →
inferno6–130.038%27 Aug →
dust213–60.0113%27 Aug →
nuke9–70.0716%26 Aug →
dust213–80.0213%26 Aug →
dust213–80.0514%26 Aug →
ancient9–130.078%25 Aug →
cache15–150.0310%25 Aug →
inferno11–13-0.0613%24 Aug →
mirage13–80.0115%24 Aug →
dust213–8-0.0419%24 Aug →
dust213–60.0321%24 Aug →
dust28–13-0.0210%22 Aug →
dust27–13-0.120%22 Aug →
inferno6–9-0.0219%22 Aug →
dust26–13-0.0119%12 Aug →
dust213–90.0211%12 Aug →
inferno13–100.0114%11 Aug →
dust213–10.0116%11 Aug →
dust213–8-0.0317%11 Aug →
mirage13–30.0112%11 Aug →
ancient13–70.0310%7 Aug →
nuke13–80.0913%7 Aug →
mirage11–13-0.048%7 Aug →
nuke4–90.0317%6 Aug →
cache13–110.0411%6 Aug →
mirage10–13-0.0513%4 Aug →
dust213–80.0218%3 Aug →
mirage10–130.0114%3 Aug →
mirage6–13-0.0915%2 Aug →
dust213–70.0923%2 Aug →
dust27–13-0.0221%1 Aug →
mirage9–13-0.0114%31 Jul →
dust23–13-0.0711%31 Jul →
dust213–2-0.019%30 Jul →
mirage10–13-0.0824%30 Jul →
inferno3–13-0.0123%29 Jul →
inferno5–13-0.1019%27 Jul →
nuke9–130.0014%27 Jul →
inferno7–13-0.017%27 Jul →
ancient13–7-0.0111%27 Jul →
dust213–16-0.0224%25 Jul →
dust210–13-0.0310%24 Jul →
dust25–13-0.0833%23 Jul →
inferno9–40.0512%23 Jul →
dust24–13-0.100%21 Jul →
nuke13–10-0.0515%21 Jul →
dust212–12-0.0024%18 Jul →
dust210–13-0.0416%18 Jul →
dust210–13-0.0520%17 Jul →
anubis6–13-0.069%17 Jul →
dust27–13-0.004%17 Jul →
dust27–13-0.0819%16 Jul →
dust28–130.015%16 Jul →
inferno8–8-0.0014%16 Jul →
inferno9–10.0921%16 Jul →
inferno6–90.029%16 Jul →
ancient13–60.026%16 Jul →
ancient13–16-0.094%14 Jul →
mirage7–13-0.027%14 Jul →
ancient10–13-0.087%13 Jul →
inferno13–4-0.034%13 Jul →
ancient13–4-0.057%13 Jul →
inferno5–13-0.0515%13 Jul →
mirage13–9-0.0619%13 Jul →
nuke14–16-0.116%13 Jul →
inferno11–130.019%12 Jul →
cache6–13-0.037%12 Jul →
cache13–9-0.0114%12 Jul →
ancient6–130.049%11 Jul →
ancient4–13-0.087%10 Jul →
dust211–13-0.0121%10 Jul →
dust24–12-0.0313%10 Jul →
inferno13–6-0.054%10 Jul →
ancient13–70.0016%10 Jul →
inferno13–11-0.056%9 Jul →
ancient13–6-0.063%8 Jul →
dust29–13-0.076%8 Jul →
dust20–13-0.0910%8 Jul →
inferno13–9-0.053%20 Jun →
dust213–11-0.0414%20 Jun →
dust27–13-0.0011%20 Jun →
inferno9–10.1010%15 Jun →
inferno8–8-0.1010%15 Jun →
inferno9–7-0.1014%15 Jun →
inferno13–6-0.0414%15 Jun →
dust28–13-0.0416%15 Jun →
dust24–130.0412%26 May →

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 →