gbcbazooka

gbcbazooka — CS2 Stats

JP76561198843682155[U:1:883416427]Steam profile ↗✓ No bans

1,385Tracked matches43%Win rate2020Tracked since
4,144Hours in CS
CSDB Rating6.3 SolidPositional Player
FaceitLevel 10 · 2,777 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate49.2%50.9%
Shot accuracy19.0%13.8%
Kill/death ratio0.821.09
Match win rate48.0%48.4%

Share this profile

CSDB.GGgbcbazookaFACEITLevel 10 · 2,777 ELOSTANDINGTop 12.4% of rankedcsdb.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

Aim87
Positioning62
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateWWTWLLLLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.9pp headshot accuracy · +8ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 19%
  • Avg reaction 476ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 515ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 511ms

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 (+1.6 against its own average).

Aim8.7
Utility3.5
Positioning6.2
Opening Duels4.6
Clutch4.0

Sharp aimerEffective flashesLimited 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 91% playstyle similarity

Most alike: opening-duel success, 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

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.

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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
Utility3.5
Mechanics8.4
Opening Duels2.8
Win Impact2.8

Composite 6.3/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time529ms−29ms
first ⅓ avg 559ms → last ⅓ avg 529ms
Headshot accuracy21.0%+2.9%
first ⅓ avg 18.1% → last ⅓ avg 21.0%

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 · 13–3 · ancient, 23 May →
38%Best headshot accuracy · 13–9 · mirage, 17 Dec →
320msFastest reaction time · 7–13 · anubis, 13 Dec →
13–2Biggest win · ancient, 19 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
9–7In matches decided by ≤2 rounds
17Overtime games

Map breakdown

anubisBest map · 63% over 19vertigoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
ancientA3620–1656%0.02
mirageD216–1529%-0.00
anubisA1912–763%0.02
dust2A53–260%0.03
nukeC52–340%0.02
trainD51–420%0.02
vertigoD50–50%-0.03
inferno—31–233%0.03
overpass—11–0100%-0.06

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

148,617Lifetime kills
0.82K/D
4,821Matches
48.0%Match win rate
49.2%Headshot %
19.0%Shot accuracy · Top 10% of Level 10 players
16,520MVPs
4,144Hours (in match)
4,292Bombs planted
1,770Bombs defused

Most-used weapons

AK-4756,528
AWP28,464
MAC-103,118
SG 5532,619
MP92,615
Knife2,474

Lifetime map wins

6,998dust2
4,757train
3,441vertigo
2,328inferno
1,339nuke
127cbble
70office
13lake

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

Faceit stats

Combat

3,019Matches
52%Win rate
1.11Avg K/D
85.3ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient23259%1.2018.4
Mirage18151%1.0516.9
Dust214657%1.1717.5
Anubis10648%1.0916.9
Train3247%1.3019.4
Vertigo2040%0.9916.6
Nuke1932%0.9715.1
Inferno1729%1.0216.3

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.

20.8%Headshot accuracy
37.1%Accuracy (enemy spotted)
39.6%Spray accuracy
87.8%Counter-strafing
8.8°Preaim
530msReaction time
32.8%T opening success
49.2%CT opening success
0.72Enemies flashed / flash
15.3%Flash assists
8.42HE damage / grenade
4.10Flashes / 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 32.7973% — below the 40% mark we flag

Spend your practice time on Vertigo

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–100.0728%1 Sept →
inferno13–60.1517%19 Aug →
nuke8–80.1322%14 Aug →
ancient19–15-0.0216%4 Aug →
ancient10–130.0113%15 Jun →
ancient5–130.0214%15 Jun →
inferno6–13-0.0421%4 Jun →
train9–13-0.0021%15 Nov →
ancient4–130.1016%30 Jul →
ancient13–8-0.0010%27 Jul →
ancient13–160.0720%26 Jul →
mirage7–130.0620%20 Jul →
train11–13-0.0123%13 Jul →
mirage7–130.0115%17 Jun →
dust213–90.0725%16 Jun →
ancient6–130.0325%11 Jun →
dust211–130.0323%7 Jun →
ancient13–8-0.0326%4 Jun →
anubis13–10-0.0322%4 Jun →
mirage19–160.0218%26 May →
train16–190.0121%24 May →
ancient13–30.1627%23 May →
ancient11–13-0.0226%12 May →
ancient13–100.0425%24 Apr →
anubis13–11-0.0321%22 Apr →
train13–70.0721%2 Apr →
ancient13–90.0317%2 Apr →
dust29–13-0.0320%31 Mar →
mirage8–13-0.0418%29 Mar →
mirage2–13-0.0425%9 Mar →
train10–130.0433%9 Jan →
ancient7–130.0225%3 Jan →
dust213–110.0021%18 Oct →
vertigo4–13-0.1033%6 Sept →
inferno3–13-0.0116%9 Jul →
anubis13–110.0627%29 May →
ancient5–13-0.0126%10 May →
ancient16–140.0018%8 May →
vertigo8–130.0325%24 Apr →
ancient9–130.0224%21 Apr →
ancient16–130.0716%15 Apr →
anubis9–13-0.0125%10 Apr →
ancient8–13-0.0115%1 Apr →
anubis13–90.0835%31 Mar →
mirage11–130.0328%16 Feb →
mirage4–130.0433%16 Feb →
ancient16–140.0018%15 Feb →
anubis14–160.0826%12 Jan →
vertigo9–13-0.0221%11 Jan →
nuke10–13-0.0328%31 Dec →
ancient11–130.0117%27 Dec →
anubis16–140.0118%20 Dec →
mirage9–13-0.0122%19 Dec →
ancient16–140.0312%19 Dec →
ancient13–20.0021%19 Dec →
anubis4–13-0.0828%17 Dec →
mirage13–9-0.0438%17 Dec →
ancient19–150.0425%17 Dec →
anubis13–30.0129%17 Dec →
mirage7–13-0.0426%15 Dec →
anubis16–140.0318%15 Dec →
anubis13–6-0.0415%15 Dec →
anubis13–60.0817%15 Dec →
anubis7–13-0.0423%13 Dec →
mirage9–13-0.0022%13 Dec →
mirage13–11-0.048%12 Dec →
vertigo7–13-0.0720%12 Dec →
mirage13–16-0.0414%10 Dec →
anubis8–130.0019%6 Dec →
anubis13–90.1122%6 Dec →
anubis13–60.0623%5 Dec →
ancient13–70.0018%5 Dec →
ancient10–13-0.0115%5 Dec →
ancient9–130.0317%5 Dec →
ancient13–60.0113%4 Dec →
ancient13–60.0119%4 Dec →
mirage19–15-0.0212%4 Dec →
mirage4–13-0.0915%2 Dec →
ancient13–90.0111%1 Dec →
mirage9–13-0.0118%29 Nov →
mirage8–130.0423%29 Nov →
ancient16–120.0216%28 Nov →
ancient13–10-0.0018%28 Nov →
mirage8–13-0.0417%28 Nov →
nuke5–13-0.0613%27 Nov →
ancient9–130.0312%27 Nov →
nuke13–100.0220%27 Nov →
ancient3–13-0.0514%27 Nov →
nuke13–50.0229%27 Nov →
ancient3–13-0.0214%27 Nov →
ancient13–60.0610%27 Nov →
mirage13–60.0515%27 Nov →
anubis13–16-0.0011%24 Nov →
overpass13–8-0.0614%22 Nov →
anubis9–130.0026%19 Nov →
vertigo8–130.0131%19 Nov →
mirage17–190.0419%11 Nov →
ancient13–60.0728%10 Nov →
anubis13–60.0327%9 Nov →
mirage13–30.0526%9 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.