Tall Glass of Beer

Tall Glass of Beer — CS2 Stats

US76561198104964123[U:1:144698395]Steam profile ↗✓ No bans

1,019Tracked matches52%Win rate2021Tracked since
2,226Hours in CS25Hrs last 2 wks
CSDB Rating6.0 SolidSupport
Premier CS Rating20,414Top 50% of 213,542 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)
CSDB Leaderboard#78095 of 260203 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 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: 20,414 -132 3 Aug – 5 Nov · 20 days played
20,41422,462peak 22,4623 Aug5 Nov
22,462Peak Premier in tracked matches
1,098Highest Faceit ELO seen on CSDB
61Days played since 2026-06-06

Premier CS Rating

  • 2,048 below peak (22,462)
  • -782 over 90 days
  • Next: Red band at 25,000 — 4,586 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate63.0%45.7%46.8%above
Shot accuracy10.9%12.7%13.0%2.1% short
Kill/death ratio1.431.051.06above
Match win rate40.7%45.7%46.3%5.6% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTall Glass of BeerFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER20,414 · Pink bandPEAK ELO1,098csdb.gg/stats

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Performance scores

Aim79
Positioning49
Utility63

0–100 skill scores via Leetify.

Recent form

COLD51–48–1Last 10051%Win rateLLLWLTLWLW

Last 10 vs previous 10: −20pp win rate · +0.05 avg rating · −3.5pp headshot accuracy · −53ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 586ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 566ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 592ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim7.9
Utility6.3
Positioning4.9
Opening Duels0.8
Clutch2.8

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

ropz

Plays most like ropz 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 42% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms 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

Aim7.9
Positioning4.9
Utility6.3
Mechanics5.7
Opening Duels1.5
Win Impact5.6

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time564ms−90ms
first ⅓ avg 653ms → last ⅓ avg 564ms
Headshot accuracy17.2%−0.1%
first ⅓ avg 17.3% → last ⅓ avg 17.2%

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

0.19Best match rating · 13–2 · office, 12 Jul →
38%Best headshot accuracy · 11–13 · nuke, 15 Oct →
406msFastest reaction time · 13–2 · inferno, 6 Sept →
13–1Biggest win · dust2, 1 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
11–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 60% over 15nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2411–1346%-0.01
mirageB189–950%0.01
ancientA159–660%-0.00
cacheA127–558%-0.01
anubisA116–555%-0.01
infernoB105–550%-0.02
nukeD61–517%0.02
train—21–150%0.01
office—22–0100%0.12

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,560Lifetime kills
1.43K/D · Top 10% of Level 7 players
3,234Matches
40.7%Match win rate
63.0%Headshot % · Top 5% of Level 7 players
10.9%Shot accuracy
5,661MVPs
2,787Hours (in match)
4,158Bombs planted
816Bombs defused

Most-used weapons

AK-4754,309
AWP5,657
FAMAS2,450
MP91,915
SSG 081,724

Lifetime map wins

4,225dust2
3,103inferno
2,848nuke
777train
662cbble
658vertigo
70office
61lake

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

Faceit stats

Combat

407Matches
53%Win rate
1.02Avg K/D
74.5ADR
46%Headshot %

Clutches & streaks

34%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10061%1.0114.6
Dust27549%1.1114.1
Ancient5448%0.9615.2
Inferno4852%0.9714.6
Anubis4749%1.0314.8
Nuke3855%0.9715.7
Cache2638%1.0816.5
Overpass1250%1.0216.6

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.

17.4%Headshot accuracy
40.4%Accuracy (enemy spotted)
46.0%Spray accuracy
75.7%Counter-strafing
10.6°Preaim
566msReaction time
26.7%T opening success
41.8%CT opening success
0.69Enemies flashed / flash
10.4%Flash assists
14.20HE damage / grenade
6.76Flashes / 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. 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 26.6668% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0211%5 Nov →
anubis10–13-0.0212%4 Nov →
nuke11–13-0.0129%4 Nov →
nuke13–80.1511%3 Nov →
mirage4–13-0.0117%3 Nov →
ancient15–150.0310%2 Nov →
ancient4–13-0.0515%2 Nov →
mirage13–80.1119%27 Oct →
anubis11–13-0.0317%26 Oct →
mirage16–140.0213%25 Oct →
dust29–13-0.058%25 Oct →
mirage6–13-0.069%25 Oct →
dust213–8-0.0418%22 Oct →
dust217–19-0.0318%22 Oct →
ancient10–13-0.0613%15 Oct →
nuke11–130.0138%15 Oct →
ancient13–9-0.0327%13 Oct →
ancient13–8-0.0331%12 Oct →
mirage13–70.0514%7 Oct →
anubis13–9-0.0613%30 Sept →
cache9–13-0.0613%26 Sept →
mirage9–13-0.0113%26 Sept →
inferno13–11-0.0313%23 Sept →
mirage13–11-0.0323%22 Sept →
dust216–130.0118%15 Sept →
mirage13–50.0638%12 Sept →
anubis12–16-0.0115%10 Sept →
anubis13–70.0020%7 Sept →
anubis13–40.1013%7 Sept →
inferno13–2-0.0219%6 Sept →
inferno7–13-0.0516%6 Sept →
ancient16–140.0115%4 Sept →
inferno13–80.0313%4 Sept →
dust219–16-0.0411%28 Aug →
cache26–28-0.0314%28 Aug →
mirage10–13-0.0520%24 Aug →
dust24–130.0715%23 Aug →
inferno13–30.0421%22 Aug →
dust213–60.0818%17 Aug →
inferno0–13-0.0318%16 Aug →
nuke10–13-0.0116%16 Aug →
dust25–13-0.0619%16 Aug →
cache13–100.0818%15 Aug →
mirage7–13-0.0326%15 Aug →
mirage6–13-0.0210%14 Aug →
train6–13-0.0123%14 Aug →
train13–110.0216%14 Aug →
anubis13–9-0.0813%13 Aug →
dust22–13-0.029%10 Aug →
dust27–13-0.0416%9 Aug →
ancient13–10-0.068%9 Aug →
mirage13–11-0.037%9 Aug →
anubis13–9-0.034%8 Aug →
cache11–130.0415%7 Aug →
dust213–110.0225%5 Aug →
cache3–13-0.0814%4 Aug →
dust27–13-0.0016%4 Aug →
mirage13–20.0131%4 Aug →
inferno13–100.0015%3 Aug →
dust210–130.0228%3 Aug →
cache13–40.0619%3 Aug →
ancient13–60.1618%3 Aug →
dust29–13-0.029%2 Aug →
dust213–11-0.0227%2 Aug →
dust213–10.0011%1 Aug →
anubis3–13-0.0312%30 Jul →
mirage13–80.1115%29 Jul →
inferno13–16-0.0313%26 Jul →
anubis2–13-0.0321%22 Jul →
cache8–13-0.0115%22 Jul →
inferno4–13-0.0618%21 Jul →
cache16–140.0218%20 Jul →
dust28–13-0.0220%20 Jul →
dust213–5-0.0318%20 Jul →
cache16–13-0.0017%17 Jul →
ancient11–13-0.0118%17 Jul →
ancient13–40.0519%16 Jul →
mirage8–13-0.0124%13 Jul →
dust213–11-0.059%13 Jul →
office13–40.0525%12 Jul →
office13–20.1924%12 Jul →
cache13–8-0.0317%11 Jul →
dust24–13-0.0627%11 Jul →
cache13–10-0.0923%10 Jul →
ancient9–13-0.0617%10 Jul →
dust213–70.0718%10 Jul →
ancient13–70.0211%4 Jul →
anubis13–70.0325%4 Jul →
dust213–30.0618%4 Jul →
mirage9–130.0219%3 Jul →
cache13–1-0.0313%3 Jul →
mirage8–130.0716%3 Jul →
ancient11–130.028%21 Jun →
ancient13–70.0320%19 Jun →
mirage13–20.0314%16 Jun →
ancient16–14-0.0314%14 Jun →
nuke5–13-0.0219%13 Jun →
dust210–13-0.0313%13 Jun →
inferno4–13-0.079%12 Jun →
nuke9–13-0.027%6 Jun →

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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