btronc >:D — CS2 Stats

76561198212575285[U:1:252309557]✓ No bans

767Tracked matches75%Win rate2020Tracked since
CSDB Rating7.0 StrongPassive Rifler
Premier CS Rating26,648Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#1552 of 26156 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGbtronc >:DFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,648 · Red bandcsdb.gg/stats

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Performance scores

Aim83
Positioning46
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY57367Last 10057%Win rateWLLLWWWWLW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

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

Aim8.3
Aggression4.3
Utility4.9
Positioning4.6
Opening Duels1.3

Excellent counter-strafingStrong 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

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower 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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

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 47% on CT to 24% 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

Aim8.3
Positioning4.6
Utility4.9
Mechanics8.8
Opening Duels2.1
Win Impact10.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time663ms+3ms
first ⅓ avg 661ms → last ⅓ avg 663ms
Headshot accuracy30.6%+0.5%
first ⅓ avg 30.2% → last ⅓ avg 30.6%

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

0.20Best rating — dust2 13–2
131Biggest win — mirage
6Longest win streak
74In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 75% over 36ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageS3627975%0.03
dust2C29111838%0.02
ancientC114736%0.01
infernoA95456%0.02
nukeS75271%-0.00
anubis21150%-0.03
vertigo220100%0.03
cache110100%-0.01
office1010%0.04
overpass1010%0.08
train110100%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

97Matches
64%Win rate
1.68Avg K/D
ADR
57%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%2.1623.0
Ancient1100%2.5718.0
Inferno10%0.507.0

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.

30.2%Headshot accuracy
34.1%Accuracy (enemy spotted)
43.1%Spray accuracy
89.6%Counter-strafing
10.8°Preaim
665msReaction time
23.6%T opening success
46.5%CT opening success
0.61Enemies flashed / flash
8.6%Flash assists
8.14HE damage / grenade
7.91Flashes / 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 23.6202% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache16–14-0.0122%28 Aug
mirage8–130.0422%14 Aug
mirage1–13-0.1023%14 Aug
ancient12–160.0122%9 Aug
mirage13–110.0834%7 Aug
mirage13–90.0125%7 Aug
inferno13–5-0.0324%6 Aug
nuke16–13-0.0223%6 Aug
dust26–13-0.0426%1 Aug
mirage13–70.1025%21 Jul
nuke13–9-0.0523%16 Jul
mirage13–6-0.0041%14 Jul
mirage7–10.0424%14 Jul
anubis13–9-0.0433%14 Jul
nuke13–5-0.0224%10 Jul
dust212–12-0.0350%7 Jul
nuke5–130.0447%2 Jul
dust213–4-0.0326%1 Jul
dust25–130.0130%30 Jun
nuke13–30.0141%30 Jun
mirage13–90.0137%30 Jun
mirage13–6-0.0628%30 Jun
mirage13–110.0234%26 Jun
dust213–50.0129%26 Jun
nuke13–110.0135%26 Jun
dust26–13-0.0421%24 Jun
ancient16–12-0.0022%24 Jun
dust215–15-0.0523%24 Jun
dust213–100.0540%23 Jun
mirage13–40.0165%23 Jun
inferno12–120.0044%23 Mar
dust213–7-0.0429%23 Mar
dust27–13-0.0020%17 Mar
dust211–130.0539%17 Mar
mirage6–13-0.0411%17 Mar
dust210–13-0.0239%22 Feb
ancient13–90.0336%22 Feb
mirage16–120.0025%22 Feb
mirage13–10.1219%27 Nov
office8–130.0436%27 Nov
dust24–130.0152%27 Nov
inferno13–50.0436%15 Nov
inferno13–90.0438%8 Nov
dust213–80.0752%8 Nov
dust213–20.2034%26 Oct
dust213–70.0626%26 Oct
mirage13–80.0332%25 Oct
mirage11–130.0825%25 Oct
mirage9–130.0235%25 Oct
dust27–13-0.0253%25 Oct
dust211–13-0.0036%31 Aug
overpass10–130.0827%31 Aug
vertigo13–4-0.0237%31 Aug
dust213–50.0335%1 Jun
mirage13–60.0433%1 Jun
dust215–15-0.0127%31 May
ancient13–160.0444%30 May
inferno13–110.0533%26 May
ancient15–150.0633%26 May
mirage11–13-0.0031%26 May
inferno8–13-0.0219%26 May
mirage13–9-0.0328%26 May
ancient13–9-0.0220%25 May
anubis7–13-0.0218%25 May
mirage13–100.0332%21 May
mirage13–40.1236%21 May
dust29–13-0.0120%21 May
dust213–80.0236%19 May
ancient10–13-0.0420%18 May
mirage13–90.0433%18 May
ancient13–110.0529%18 May
dust213–50.0628%18 May
dust213–60.0826%18 May
ancient15–15-0.0527%18 May
dust212–160.0119%18 May
vertigo13–70.0742%18 May
mirage13–30.1031%13 Apr
mirage13–60.1321%8 Apr
mirage8–13-0.0230%8 Apr
ancient12–160.0738%31 Mar
nuke10–130.0129%9 Mar
mirage9–130.0430%9 Mar
mirage13–11-0.0235%5 Mar
dust28–13-0.0536%5 Mar
ancient9–13-0.0224%23 Feb
mirage13–6-0.0029%22 Feb
mirage13–10-0.0038%19 Feb
dust210–130.1132%19 Feb
inferno10–130.0027%18 Feb
train13–80.0927%17 Feb
dust27–130.0734%17 Feb
mirage13–40.0439%17 Feb
inferno13–70.0832%17 Feb
inferno4–13-0.0032%15 Feb
mirage13–9-0.0530%15 Feb
mirage16–130.0625%15 Feb
mirage13–90.1035%14 Feb
dust210–13-0.0320%8 Feb
mirage15–150.0222%8 Feb
mirage13–30.1442%8 Feb

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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