big3

big3 — CS2 Stats

GB76561198426494854[U:1:466229126]Steam profile ↗✓ No bans

703Tracked matches41%Win rate2022Tracked since
2,267Hours in CS16Hrs last 2 wks
CSDB Rating5.9 SolidPassive Rifler
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#9040 of 13972 tracked
FaceitLevel 6 · 1,178 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGbig3FACEITLevel 6 · 1,178 ELOSTANDINGTop 54.0% of rankedPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim91
Positioning44
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateLWWLLLTWWW

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

Player DNA

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

Aim9.1
Aggression3.4
Utility5.9
Positioning4.4
Opening Duels0.0
Clutch1.2

Sharp aimer

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 89% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 47 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.

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

Aim9.1
Positioning4.4
Utility5.9
Mechanics7.7
Opening Duels0.8
Win Impact2.1

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time478ms−68ms
first ⅓ avg 546ms → last ⅓ avg 478ms
Headshot accuracy19.5%+0.1%
first ⅓ avg 19.5% → last ⅓ avg 19.5%

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

0.19Best rating — vertigo 9–1
131Biggest win — ancient
4Longest win streak
137In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 65% over 23infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageS2315865%0.03
dust2B22111150%0.02
cacheB126650%0.04
infernoD103730%-0.00
anubisC104640%0.01
ancientA95456%0.04
nuke42250%0.00
vertigo220100%0.11
overpass21150%-0.02
train2020%-0.00
debris1010%-0.06
shelter1010%-0.05
boulder1010%0.07
office1010%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,589Lifetime kills
1.11K/D · Top 50% of tracked players
3,766Matches
44.7%Match win rate
43.3%Headshot %
12.6%Shot accuracy · Top 50% of tracked players
9,967MVPs
1,250Hours (in match)
2,979Bombs planted
592Bombs defused

Most-used weapons

AK-4723,563
AWP13,190
MP91,290
P2501,033
MAC-101,016

Lifetime map wins

3,394dust2
2,502inferno
1,329cbble
970vertigo
805nuke
634train
222office
117italy

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

Faceit stats

Combat

183Matches
50%Win rate
0.94Avg K/D
72.7ADR
44%Headshot %

Clutches & streaks

26%1v1 clutch win
11%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3946%0.9214.3
Anubis1958%0.9915.7
Ancient1638%0.7912.8
Dust21644%0.9813.6
Inferno475%0.9515.3
Nuke367%0.9516.3
Train10%0.8814.0

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.

18.7%Headshot accuracy
38.8%Accuracy (enemy spotted)
38.8%Spray accuracy
84.6%Counter-strafing
7.2°Preaim
469msReaction time
22.6%T opening success
36.2%CT opening success
0.64Enemies flashed / flash
2.5%Flash assists
5.92HE damage / grenade
19.18Flashes / 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 22.6287% — below the 40% mark we flag

Spend your practice time on Inferno

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–130.0125%26 Aug
ancient13–10.0718%26 Aug
cache13–60.0417%26 Aug
cache11–130.1418%26 Aug
cache11–130.0820%26 Aug
inferno10–13-0.0019%25 Aug
nuke15–150.0212%25 Aug
nuke13–90.0218%25 Aug
vertigo13–80.036%25 Aug
dust213–80.0317%23 Aug
debris4–9-0.068%23 Aug
nuke5–13-0.0233%22 Aug
cache13–90.0216%19 Aug
ancient13–110.0819%19 Aug
cache16–140.0111%18 Aug
dust27–13-0.0125%18 Aug
ancient6–13-0.0626%18 Aug
dust25–13-0.0230%18 Aug
anubis7–13-0.0123%18 Aug
inferno13–20.1524%18 Aug
overpass13–80.0319%16 Aug
ancient10–130.0519%14 Aug
cache13–20.0516%14 Aug
anubis4–13-0.0816%12 Aug
mirage13–110.0615%11 Aug
train7–130.0819%10 Aug
inferno13–16-0.0333%9 Aug
anubis11–130.038%9 Aug
anubis4–13-0.0721%9 Aug
dust27–130.0123%9 Aug
anubis4–130.0224%9 Aug
dust213–11-0.0018%6 Aug
mirage16–14-0.0429%6 Aug
inferno3–9-0.0611%6 Aug
mirage13–110.1233%5 Aug
ancient13–110.0727%5 Aug
dust213–70.0430%4 Aug
dust28–13-0.019%4 Aug
dust25–130.0312%4 Aug
mirage13–80.0227%3 Aug
dust213–50.0524%3 Aug
dust213–3-0.0114%3 Aug
inferno11–130.0011%3 Aug
cache3–13-0.0319%3 Aug
mirage3–8-0.0163%2 Aug
dust27–130.0224%2 Aug
ancient13–9-0.0124%1 Aug
mirage8–130.0224%1 Aug
anubis16–12-0.0311%1 Aug
ancient9–13-0.0227%31 Jul
inferno8–8-0.135%31 Jul
mirage13–3-0.0414%31 Jul
dust213–110.0624%30 Jul
mirage11–130.0126%29 Jul
dust213–100.0725%29 Jul
cache9–130.0338%29 Jul
mirage0–10-0.0933%27 Jul
anubis8–13-0.0122%26 Jul
mirage8–130.0021%26 Jul
mirage13–60.137%26 Jul
mirage13–10.0217%26 Jul
mirage13–80.0614%22 Jul
mirage13–30.0613%22 Jul
ancient7–130.0122%22 Jul
mirage3–13-0.0318%21 Jul
mirage13–90.0916%21 Jul
inferno5–13-0.0419%13 Jul
dust213–80.0428%13 Jul
mirage13–30.0219%13 Jul
mirage14–160.018%12 Jul
nuke13–90.0016%12 Jul
dust29–13-0.0316%12 Jul
dust211–13-0.0017%12 Jul
shelter12–12-0.0515%10 Jul
anubis13–110.1014%9 Jul
mirage13–50.0919%9 Jul
boulder6–130.0727%9 Jul
office5–13-0.0813%8 Jul
mirage13–110.0433%8 Jul
overpass7–10-0.0719%5 Jul
cache13–70.0122%4 Jul
mirage13–90.1213%4 Jul
ancient13–40.1820%3 Jul
dust213–30.0733%3 Jul
cache12–120.0511%2 Jul
dust210–13-0.0321%1 Jul
inferno8–13-0.0514%1 Jul
anubis13–110.0514%28 Jun
dust213–110.0917%28 Jun
cache3–80.0327%27 Jun
anubis13–50.0520%27 Jun
dust213–60.0124%27 Jun
dust22–11-0.0850%27 Jun
inferno9–40.1215%25 Jun
mirage13–60.0117%25 Jun
inferno13–90.0118%24 Jun
vertigo9–10.1914%22 Jun
mirage2–13-0.0421%22 Jun
cache13–110.0229%20 Jun
train1–5-0.090%19 Jun

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →