Br0nco

Br0nco — CS2 Stats

PL76561198009964068[U:1:49698340]Steam profile ↗✓ No bans

706Tracked matches45%Win rate2021Tracked since
774Hours in CS
CSDB Rating3.6 Learning
Premier CS Rating20,982Top 50% of 44,590 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#18817 of 57672 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=9,423), 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 playerPink band medianRed band medianvs Red band
Headshot rate34.3%47.1%49.8%15.5% short
Shot accuracy12.0%12.8%13.4%1.4% short
Kill/death ratio0.831.081.120.29 short
Match win rate42.6%46.7%48.6%6.0% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGBr0ncoPREMIER20,982 · Pink bandcsdb.gg/stats

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Performance scores

Aim33
Positioning37
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53452Last 10053%Win rateWLLWLWLWLL

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

Player DNA

Aim3.3
Aggression3.9
Utility5.3
Positioning3.7
Opening Duels0.3
Clutch4.8

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 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower 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 49% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3
Positioning3.7
Utility5.3
Mechanics3.0
Opening Duels2.4
Win Impact3.3

Composite 3.6/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time566ms−34ms
first ⅓ avg 600ms → last ⅓ avg 566ms
Headshot accuracy11.5%+2.5%
first ⅓ avg 8.9% → last ⅓ avg 11.5%

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

0.11Best rating — nuke 13–10
131Biggest win — cache
5Longest win streak
117In matches decided by ≤2 rounds
17Overtime games

Map breakdown

infernoBest map · 63% over 32dust2Weakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
infernoA32201263%-0.02
dust2D1851328%-0.03
nukeB168850%-0.04
cacheA148657%-0.02
anubisA127558%-0.04
mirage42250%-0.01
ancient220100%-0.03
overpass21150%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,237Lifetime kills
0.83K/D
1,988Matches
42.6%Match win rate
34.3%Headshot %
12.0%Shot accuracy
2,445MVPs
774Hours (in match)
1,815Bombs planted
323Bombs defused

Most-used weapons

AK-476,286
FAMAS1,424
MP71,417
SG 5531,289
P90905
AUG895
MP9798

Lifetime map wins

3,510inferno
2,763dust2
2,112nuke
444train
168vertigo
103cbble
39office
30safehouse

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

Faceit stats

Combat

79Matches
57%Win rate
0.92Avg K/D
68.8ADR
33%Headshot %

Clutches & streaks

44%1v1 clutch win
9%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2365%0.9713.3
Anubis2060%0.8112.1
Nuke1560%0.9614.9
Dust21030%0.8510.3
Mirage743%0.9614.3
Overpass367%1.1212.3
Ancient1100%1.009.0

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.

11.7%Headshot accuracy
30.8%Accuracy (enemy spotted)
33.5%Spray accuracy
63.4%Counter-strafing
12.9°Preaim
556msReaction time
13.5%T opening success
49.3%CT opening success
0.52Enemies flashed / flash
3.5%Flash assists
8.96HE damage / grenade
7.26Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.9339° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.7059% — below the 15% mark we flag

    Aim Training
Spend your practice time on Dust 2

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–4-0.064%16 Aug
dust24–13-0.0812%16 Aug
nuke10–13-0.0213%15 Aug
inferno13–7-0.076%15 Aug
nuke10–13-0.058%14 Aug
cache13–20.0719%14 Aug
inferno6–13-0.0215%14 Aug
dust213–50.0711%14 Aug
inferno5–13-0.0612%13 Aug
inferno13–16-0.0514%13 Aug
inferno14–16-0.0611%9 Aug
inferno14–16-0.0117%9 Aug
dust24–13-0.067%9 Aug
cache16–14-0.079%8 Aug
dust216–13-0.0216%8 Aug
inferno7–13-0.0529%6 Aug
inferno6–13-0.058%6 Aug
anubis10–13-0.0810%6 Aug
nuke13–100.1117%6 Aug
cache7–13-0.028%19 Jul
inferno13–80.015%19 Jul
dust23–130.0110%19 Jul
dust215–15-0.0511%18 Jul
nuke13–80.029%18 Jul
anubis13–11-0.036%18 Jul
nuke16–14-0.0312%18 Jul
cache7–13-0.0317%18 Jul
cache9–130.0011%12 Jul
cache13–5-0.0412%12 Jul
cache13–1-0.037%12 Jul
inferno13–7-0.059%11 Jul
inferno13–6-0.0411%11 Jul
nuke8–13-0.1011%27 Jun
dust29–13-0.0730%27 Jun
dust210–13-0.0716%16 Jun
nuke13–16-0.0912%16 Jun
cache13–40.0024%15 Jun
nuke13–10-0.098%15 Jun
inferno13–30.0312%14 Jun
inferno13–60.0315%14 Jun
dust23–13-0.0617%6 Jun
nuke11–13-0.045%6 Jun
anubis13–4-0.0419%6 Jun
dust211–13-0.0517%6 Jun
inferno13–30.0819%6 Jun
inferno5–130.0116%5 Jun
cache8–13-0.078%5 Jun
dust213–16-0.0516%5 Jun
cache13–60.0213%28 May
inferno13–7-0.0221%28 May
inferno13–7-0.0113%22 May
cache3–13-0.074%22 May
nuke11–13-0.0216%14 May
cache13–110.0412%14 May
cache12–12-0.057%1 May
cache13–50.0015%1 May
ancient13–10-0.074%22 Mar
anubis10–13-0.0910%21 Mar
mirage10–13-0.0314%21 Mar
dust28–13-0.034%21 Mar
dust213–11-0.0118%8 Mar
inferno16–13-0.007%8 Mar
inferno13–90.037%8 Mar
nuke19–15-0.0110%8 Mar
inferno13–10-0.039%7 Mar
inferno9–13-0.074%7 Mar
anubis9–13-0.0612%7 Mar
anubis13–9-0.0612%26 Feb
anubis13–70.066%26 Feb
nuke13–11-0.0513%22 Feb
inferno13–5-0.045%21 Feb
nuke9–13-0.079%21 Feb
inferno14–16-0.0610%21 Feb
inferno16–13-0.0511%21 Feb
inferno13–8-0.034%21 Feb
nuke4–1-0.070%21 Feb
dust213–7-0.056%21 Feb
dust27–130.036%21 Feb
dust26–13-0.0511%20 Feb
nuke9–13-0.0516%20 Feb
inferno13–6-0.0218%20 Feb
anubis13–110.0015%20 Feb
inferno13–60.038%20 Feb
inferno13–2-0.087%19 Feb
inferno13–40.019%19 Feb
dust26–13-0.026%19 Feb
anubis6–13-0.083%19 Feb
anubis16–14-0.0211%18 Feb
overpass1–7-0.0211%18 Feb
inferno2–13-0.029%18 Feb
anubis9–13-0.027%18 Feb
inferno13–110.0213%17 Feb
overpass19–17-0.0411%17 Feb
mirage11–13-0.023%17 Feb
anubis13–4-0.048%17 Feb
mirage13–60.0015%17 Feb
ancient13–10.007%17 Feb
inferno13–16-0.0011%17 Feb
mirage13–60.029%17 Feb
nuke16–14-0.006%17 Feb

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →