bq

bq — CS2 Stats

DE76561198010944334[U:1:50678606]Steam profile ↗✓ No bans

2,124Tracked matches57%Win rate2020Tracked since
5,460Hours in CS
CSDB Rating7.1 StrongAggressive Rifler
FaceitLevel 10 · 2,849 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=4,917), 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 rate42.8%51.9%
Shot accuracy17.9%13.7%
Kill/death ratio1.091.08
Match win rate48.6%48.7%

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CSDB.GGbqFACEITLevel 10 · 2,849 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning62
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY56431Last 10056%Win rateLWLWLLWWWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.0
Aggression7.3
Utility6.9
Positioning6.2
Opening Duels3.7
Clutch3.0

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.

Your pro match

b1t

Plays most like b1t 94% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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 52% on CT to 37% 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

Aim8.0
Positioning6.2
Utility6.9
Mechanics8.1
Opening Duels3.7
Win Impact7.2

Composite 7.1/10 (Strong), 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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time551ms−13ms
first ⅓ avg 564ms → last ⅓ avg 551ms
Headshot accuracy22.1%+3.0%
first ⅓ avg 19.1% → last ⅓ avg 22.1%

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

0.28Best rating — whistle 9–1
130Biggest win — ancient
5Longest win streak
1411In matches decided by ≤2 rounds
16Overtime games

Map breakdown

anubisBest map · 64% over 14trainWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A35201557%0.01
ancientA24141058%0.02
anubisA149564%-0.00
infernoA127558%-0.01
trainC73443%-0.04
nuke42250%0.02
mirage3030%-0.03
whistle110100%0.28

Across the last 100 tracked matches.

Lifetime stats

215,335Lifetime kills
1.09K/D · Top 50% of Level 10 players
7,665Matches
48.6%Match win rate
42.8%Headshot %
17.9%Shot accuracy · Top 25% of Level 10 players
25,983MVPs
5,460Hours (in match)
6,570Bombs planted
2,410Bombs defused

Most-used weapons

AK-4775,404
AWP51,017
P2505,776
FAMAS3,537
Knife2,946

Lifetime map wins

31,707dust2
11,070inferno
8,515nuke
3,801vertigo
2,535cbble
2,288train
270office
227lake

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

Faceit stats

Combat

2,738Matches
52%Win rate
1.12Avg K/D
80.8ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient14847%1.1517.2
Dust212158%1.1817.3
Anubis9954%1.1316.7
Inferno8156%1.1416.7
Nuke7352%1.1419.0
Overpass3050%1.0617.5
Vertigo2446%1.3019.0
Train1362%0.8013.7

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.

22.4%Headshot accuracy
33.4%Accuracy (enemy spotted)
37.1%Spray accuracy
86.4%Counter-strafing
9.8°Preaim
547msReaction time
37.0%T opening success
52.4%CT opening success
0.56Enemies flashed / flash
6.7%Flash assists
8.07HE damage / grenade
10.26Flashes / 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 36.9621% — below the 40% mark we flag

Spend your practice time on Train

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno16–19-0.0410%31 Aug
dust213–10-0.0320%31 Aug
ancient5–13-0.0330%31 Aug
ancient13–110.0013%31 Aug
dust210–13-0.0626%28 Jul
ancient6–13-0.0511%22 Jul
dust216–130.0326%22 Jul
dust213–50.0719%22 Jul
ancient13–110.0233%8 Jul
inferno13–110.0016%8 Jul
anubis8–13-0.0211%7 Jul
ancient13–60.0717%7 Jul
ancient7–13-0.0714%4 Jul
dust216–12-0.0222%26 Jun
dust213–11-0.0416%14 Jun
ancient14–160.0124%6 Jun
train13–16-0.0227%6 Jun
dust213–100.0630%6 Jun
anubis14–160.0120%6 Jun
dust211–13-0.0122%5 Jun
dust213–5-0.0118%5 Jun
mirage9–13-0.0445%5 Jun
anubis13–7-0.0025%4 Jun
dust213–70.0420%4 Jun
dust26–13-0.0129%4 Jun
ancient13–80.0424%14 May
dust213–100.1132%7 May
train3–13-0.0725%7 May
ancient13–60.0527%7 May
dust213–11-0.0323%6 May
train13–8-0.0216%6 May
inferno8–130.0219%6 May
nuke13–7-0.0621%5 May
dust213–4-0.054%13 Apr
mirage9–13-0.0542%13 Apr
ancient13–11-0.0219%13 Apr
inferno13–90.0433%11 Apr
inferno13–50.0510%11 Apr
ancient8–13-0.0129%10 Apr
dust213–90.0627%7 Apr
dust213–90.1332%7 Apr
anubis16–140.0122%10 Mar
ancient6–13-0.0225%27 Feb
inferno12–16-0.0719%27 Feb
anubis13–160.0016%25 Feb
dust214–16-0.0212%25 Feb
anubis11–13-0.0214%21 Feb
ancient11–130.0014%21 Feb
inferno13–7-0.0114%19 Feb
ancient8–130.0720%19 Feb
dust25–13-0.0729%17 Feb
dust211–13-0.0413%13 Feb
ancient13–30.0119%13 Feb
anubis13–70.0319%12 Feb
dust28–13-0.0227%12 Feb
ancient6–130.0128%12 Feb
dust213–20.0719%11 Feb
dust24–13-0.0318%11 Feb
dust213–10.1233%8 Feb
inferno13–9-0.0326%7 Feb
anubis13–100.0718%7 Feb
anubis13–40.0021%7 Feb
dust24–13-0.0417%7 Feb
anubis13–10-0.0316%4 Feb
inferno11–13-0.0316%27 Jan
anubis16–140.0019%27 Jan
ancient16–14-0.0213%26 Jan
anubis4–13-0.0514%26 Jan
dust211–130.0020%22 Jan
ancient19–170.0526%22 Jan
dust29–13-0.0615%22 Jan
dust213–90.0231%21 Jan
ancient13–20.0216%20 Jan
inferno13–100.0025%18 Jan
whistle9–10.2820%18 Jan
inferno10–130.0116%17 Jan
anubis13–5-0.0115%17 Jan
mirage12–120.0117%17 Jan
ancient13–11-0.0120%16 Jan
anubis16–140.0119%13 Jan
dust27–13-0.0615%13 Jan
nuke11–130.0427%10 Jan
ancient8–130.038%10 Jan
nuke13–100.0413%10 Jan
ancient13–100.0814%10 Jan
ancient13–8-0.0011%10 Jan
inferno13–8-0.0515%10 Jan
dust26–10.0420%28 Dec
train7–13-0.0323%25 Dec
dust213–11-0.0225%19 Dec
dust213–8-0.0415%19 Dec
train13–11-0.0328%21 Nov
dust213–100.0123%21 Nov
dust211–130.0525%16 Nov
train6–13-0.0726%16 Nov
train13–5-0.0421%16 Nov
dust25–130.0416%26 Oct
ancient13–00.1915%26 Oct
nuke13–160.0525%17 Oct
dust215–190.0012%16 Oct

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 →