BBG

BBG — CS2 Stats

CA76561198160208944[U:1:199943216]Steam profile ↗

468Tracked matches38%Win rate2020Tracked since
CSDB Rating5.0 DevelopingHybrid Rifler
Premier CS Rating12,931Blue band · top ~39.4% of ranked players (population est.)
CSDB Leaderboard#31381 of 47137 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBBGFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,931 · Blue bandcsdb.gg/stats

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Performance scores

Aim63
Positioning52
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY494110Last 10049%Win rateWLLWLWWWLT

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression8.5
Utility4.5
Positioning5.2
Opening Duels4.4
Clutch2.6

Strong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: higher opening-fight frequency; 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 56% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 689ms 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

Aim6.3
Positioning5.2
Utility4.5
Mechanics7.2
Opening Duels4.4
Win Impact1.2

Composite 5.0/10 (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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time686ms−20ms
first ⅓ avg 706ms → last ⅓ avg 686ms
Headshot accuracy22.5%+3.1%
first ⅓ avg 19.4% → last ⅓ avg 22.5%

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.

Highlights

0.12Best rating — mirage 13–10
131Biggest win — anubis
4Longest win streak
77In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 78% over 9ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C33122136%0.02
mirageA23131057%0.03
nukeS97278%0.03
ancientD82625%0.01
anubisA74357%0.02
infernoB63350%0.02
overpassB63350%-0.01
vertigo32167%0.03
train21150%0.01
stronghold1010%-0.11
office110100%0.04
italy110100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches
42%Win rate
1.03Avg K/D
82.3ADR
53%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno450%0.9715.8
Nuke250%1.0317.5
Dust2250%0.769.0
Anubis2100%1.3224.5
Ancient20%0.6212.5
Mirage20%1.2021.0

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.

22.6%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.3%Spray accuracy
82.5%Counter-strafing
10.5°Preaim
689msReaction time
39.5%T opening success
56.1%CT opening success
0.54Enemies flashed / flash
9.5%Flash assists
8.33HE damage / grenade
4.41Flashes / 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 39.4942% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–70.0732%17 Mar
inferno6–130.0042%17 Mar
dust211–13-0.0726%14 Mar
mirage16–120.0224%14 Mar
stronghold5–13-0.1127%13 Mar
overpass13–9-0.0016%9 Mar
dust213–30.0539%9 Mar
mirage13–90.0422%8 Mar
dust210–130.0538%8 Mar
dust212–120.0324%13 Feb
dust211–130.0511%11 Feb
mirage13–100.0421%11 Feb
mirage13–80.0317%11 Feb
dust29–13-0.0725%11 Feb
dust28–130.0716%10 Feb
ancient7–130.1121%10 Feb
dust24–130.0319%10 Feb
mirage15–150.0719%10 Feb
nuke16–140.0017%10 Feb
mirage10–130.0418%10 Feb
dust28–130.0219%10 Feb
dust213–9-0.0128%4 Feb
dust212–12-0.0415%4 Feb
anubis4–13-0.0827%2 Feb
ancient9–13-0.0212%2 Feb
ancient15–150.0522%2 Feb
dust213–100.0620%1 Feb
dust27–130.0328%31 Jan
dust27–130.0619%31 Jan
dust26–130.0826%31 Jan
dust213–4-0.0220%31 Jan
mirage8–13-0.0420%31 Jan
ancient16–140.0513%31 Jan
ancient3–13-0.0340%31 Jan
dust213–30.0622%31 Jan
dust212–120.0126%30 Jan
dust213–4-0.0416%30 Jan
dust213–9-0.0214%30 Jan
dust27–130.0224%28 Jan
anubis13–11-0.0014%28 Jan
mirage13–60.0715%28 Jan
ancient7–130.0611%28 Jan
nuke13–7-0.053%28 Jan
dust210–130.0119%28 Jan
mirage4–13-0.0412%28 Jan
ancient10–13-0.0611%28 Jan
dust213–80.0410%28 Jan
overpass13–6-0.0137%28 Jan
dust26–130.0137%28 Jan
dust211–13-0.0218%27 Jan
mirage13–80.0315%27 Jan
dust25–13-0.0421%25 Jan
dust213–80.0617%25 Jan
dust213–50.1124%25 Jan
dust213–50.0925%25 Jan
dust26–13-0.0126%25 Jan
mirage12–12-0.0520%24 Jan
mirage9–30.0329%24 Jan
mirage11–130.0524%24 Jan
mirage13–70.0023%24 Jan
mirage5–130.0827%24 Jan
mirage12–12-0.0314%24 Jan
mirage13–60.0216%24 Jan
mirage13–11-0.009%24 Jan
mirage8–130.0527%23 Jan
vertigo13–40.0823%23 Jan
vertigo11–13-0.0223%23 Jan
anubis13–30.0820%23 Jan
train12–120.0116%23 Jan
office13–80.0421%23 Jan
nuke13–50.0312%22 Jan
ancient13–9-0.0413%22 Jan
inferno13–30.0919%22 Jan
anubis10–130.0220%22 Jan
overpass12–12-0.0213%22 Jan
nuke11–13-0.0419%22 Jan
mirage13–90.0215%22 Jan
dust213–110.0425%22 Jan
dust211–130.0125%22 Jan
mirage13–100.1221%22 Jan
inferno13–40.0423%22 Jan
anubis13–100.0312%22 Jan
nuke13–60.0821%22 Jan
mirage8–130.0716%22 Jan
inferno13–70.0528%21 Jan
nuke9–130.0921%21 Jan
vertigo13–110.0116%21 Jan
inferno3–13-0.0210%21 Jan
nuke13–11-0.0117%21 Jan
dust28–13-0.0723%21 Jan
anubis10–130.0120%21 Jan
inferno12–12-0.0127%21 Jan
nuke13–90.0836%20 Jan
mirage13–100.0311%20 Jan
italy13–8-0.0328%20 Jan
overpass7–00.0424%20 Jan
overpass3–13-0.0615%20 Jan
anubis13–10.0823%20 Jan
overpass9–13-0.0116%19 Jan
train13–50.0218%19 Jan

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 →