G1BBS

G1BBS — CS2 Stats

AU76561198161760297[U:1:201494569]Steam profile ↗✓ No bans

2,255Tracked matches72%Win rate2020Tracked since
14,426Hours in CS
CSDB Rating6.8 SolidPositional Player
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

+11Tracked matches · now 2,255
0.0ppWin rate · 72.4% → 72.4%

Rating over time

Premier CS Rating: 26,589 +1,469 15 Sept – 7 Jan · 12 days played
25,12026,747peak 26,74715 Sept7 Jan
26,869Peak Premier in tracked matches
62Days played since 2025-08-28

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches19——
Win rate79%——
K/D1.07——
Headshot %73%——

Measured 21 Sep 2026 → 19 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim87
Positioning62
Utility29

0–100 skill scores via Leetify.

Recent form

HOT65–33–2Last 10065%Win rateWWWWWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.4pp headshot accuracy · −4ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 514ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 510ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 512ms

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 (+1.7 against its own average).

Aim8.7
Utility2.9
Positioning6.2
Opening Duels3.8
Clutch5.2

Sharp aimerLimited 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

donk

Plays most like donk 83% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

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

Aim8.7
Positioning6.2
Utility2.9
Mechanics7.9
Opening Duels3.1
Win Impact10.0

Composite 6.8/10 (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 rating0.05−0.02
first ⅓ avg 0.06 → last ⅓ avg 0.05
Reaction time544ms−31ms
first ⅓ avg 576ms → last ⅓ avg 544ms
Headshot accuracy24.5%+0.4%
first ⅓ avg 24.1% → last ⅓ avg 24.5%

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

0.25Best match rating · 13–3 · anubis, 14 Sept →
57%Best headshot accuracy · 4–0 · inferno, 24 Oct →
359msFastest reaction time · 13–8 · inferno, 28 Aug →
13–1Biggest win · inferno, 1 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W9Current streak
10–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 100% over 6nukeWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
dust2S2116–576%0.07
mirageA1810–856%0.07
infernoA148–657%0.04
ancientS139–469%0.05
nukeB84–450%0.04
trainA74–357%0.04
overpassA74–357%0.03
cacheS64–267%0.09
anubisS66–0100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

653,211Lifetime kills
1.51K/D · Top 5% of tracked players
19,184Matches
53.8%Match win rate · Top 10% of tracked players
60.6%Headshot % · Top 5% of tracked players
19.0%Shot accuracy · Top 10% of tracked players
112,149MVPs
14,426Hours (in match)
26,542Bombs planted
19,164Bombs defused

Most-used weapons

AK-47303,826
AWP52,656
Glock-1830,520
P2506,665
MP76,386
Tec-94,385

Lifetime map wins

52,979dust2
28,887inferno
13,284train
7,787cbble
6,907nuke
4,126vertigo
255lake
203dust

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

Faceit stats

Combat

565Matches
58%Win rate
1.74Avg K/D
89.6ADR
45%Headshot %

Clutches & streaks

46%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1377%1.3716.4
Nuke1275%1.8518.8
Mirage1155%1.4919.0
Ancient1173%1.3119.0
Dust2967%1.2718.6
Anubis5100%2.0121.2
Cache4100%1.2619.8

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.

24.6%Headshot accuracy
36.2%Accuracy (enemy spotted)
38.1%Spray accuracy
85.4%Counter-strafing
9.1°Preaim
537msReaction time
37.4%T opening success
47.1%CT opening success
0.60Enemies flashed / flash
7.5%Flash assists
5.51HE damage / grenade
2.98Flashes / 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 2.9788 — 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 37.418% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache13–60.2230%16 Oct →
cache13–4-0.0214%16 Oct →
dust216–140.0721%7 Oct →
anubis13–70.0224%7 Oct →
inferno13–6-0.0225%6 Oct →
anubis13–20.1128%30 Sept →
ancient13–100.0120%8 Sept →
inferno13–10.0732%1 Sept →
anubis16–14-0.0018%19 Aug →
mirage11–130.0140%12 Aug →
inferno13–20.0523%10 Aug →
dust210–13-0.0118%31 Jul →
mirage16–140.0620%15 Jul →
dust213–70.1126%9 Jul →
ancient13–110.1124%25 Jun →
mirage11–130.0325%25 Jun →
dust213–8-0.0345%22 Jun →
ancient13–90.0316%22 Jun →
cache13–70.1217%17 Jun →
train6–13-0.1213%17 Jun →
inferno4–13-0.0233%17 Jun →
dust213–50.0944%3 Jun →
cache13–40.1426%1 Jun →
anubis13–50.0123%27 May →
nuke13–10.0532%13 May →
mirage6–10.0221%6 May →
ancient13–160.0621%1 May →
overpass9–130.0320%1 May →
cache12–120.0528%30 Apr →
cache3–130.0522%30 Apr →
nuke13–10.1119%29 Apr →
mirage13–60.0414%29 Apr →
dust213–60.0627%21 Apr →
inferno13–60.0513%16 Apr →
nuke13–70.0535%16 Apr →
mirage13–110.0330%17 Mar →
dust213–60.1332%11 Mar →
inferno9–130.0441%5 Mar →
inferno7–13-0.0321%3 Mar →
dust213–70.1021%3 Mar →
mirage13–70.1028%30 Jan →
mirage13–40.0518%26 Jan →
dust25–130.0419%21 Jan →
mirage13–70.1924%19 Jan →
nuke10–130.0325%14 Jan →
mirage5–130.2317%8 Jan →
dust213–30.1134%7 Jan →
dust213–90.0926%24 Dec →
overpass13–8-0.0318%1 Dec →
mirage9–13-0.0211%1 Dec →
train2–130.0425%11 Nov →
ancient8–130.0521%10 Nov →
inferno7–130.0519%7 Nov →
overpass11–130.0020%29 Oct →
inferno13–100.1117%29 Oct →
ancient13–110.0825%28 Oct →
ancient13–100.0126%28 Oct →
dust213–30.0126%24 Oct →
inferno4–00.0957%24 Oct →
anubis13–40.0126%24 Oct →
mirage13–60.0226%24 Oct →
mirage4–130.0425%22 Oct →
dust211–130.0416%22 Oct →
ancient13–50.0832%21 Oct →
mirage5–130.0625%12 Oct →
ancient13–100.0120%11 Oct →
nuke13–80.0422%29 Sept →
train13–20.0823%29 Sept →
dust213–50.0321%29 Sept →
inferno3–13-0.0416%29 Sept →
overpass8–13-0.0139%24 Sept →
dust213–20.1231%24 Sept →
nuke5–130.0620%24 Sept →
ancient4–130.0717%24 Sept →
inferno1–13-0.0123%24 Sept →
dust213–40.0328%22 Sept →
overpass13–110.1123%22 Sept →
mirage5–130.0523%21 Sept →
dust213–50.0717%16 Sept →
train13–60.0222%16 Sept →
ancient11–130.0420%16 Sept →
train13–110.0016%15 Sept →
mirage13–70.1222%15 Sept →
ancient13–11-0.0129%15 Sept →
anubis13–30.2523%14 Sept →
mirage13–40.1133%14 Sept →
dust210–130.1027%10 Sept →
train12–120.1339%10 Sept →
inferno13–110.0820%8 Sept →
nuke5–13-0.0519%8 Sept →
nuke4–130.0122%4 Sept →
train13–70.1228%4 Sept →
dust213–100.1422%3 Sept →
dust212–160.0219%2 Sept →
overpass13–50.0730%1 Sept →
dust213–60.1022%1 Sept →
mirage5–130.0218%1 Sept →
inferno13–80.0930%28 Aug →
ancient13–80.0928%28 Aug →
overpass13–60.0120%28 Aug →

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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