BigBoogie — CS2 Stats

76561198259681600[U:1:299415872]✓ No bans

1,037Tracked matches50%Win rate2020Tracked since
CSDB Rating7.3 StrongEntry Fragger
Premier CS Rating16,558Purple band · top ~22.2% of ranked players (population est.)
CSDB Leaderboard#17632 of 31015 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGBigBoogiePREMIER16,558 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning72
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY56395Last 10056%Win rateWLLWLWWLLL

Last 10 vs previous 10: +0pp win rate · +0.07 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim8.3
Aggression10.0
Utility6.8
Positioning7.2
Opening Duels7.0
Clutch8.4

Reliable in 1v1s

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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Reaction time. 573ms 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

Aim8.3
Positioning7.2
Utility6.8
Mechanics7.6
Opening Duels7.0
Win Impact5.0

Composite 7.3/10 (Strong), 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 rating0.06+0.01
first ⅓ avg 0.05 → last ⅓ avg 0.06
Reaction time573ms+5ms
first ⅓ avg 568ms → last ⅓ avg 573ms
Headshot accuracy19.3%−0.9%
first ⅓ avg 20.3% → last ⅓ avg 19.3%

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

0.40Best rating — ancient 8–0
130Biggest win — inferno
8Longest win streak
95In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 40% over 30
MapGradePlayedRecordWin rateAvg rating
infernoC30121840%0.04
anubisS2014670%0.06
ancientA148657%0.09
dust2S96367%0.06
nukeS86275%0.05
mirageC73443%0.02
overpassS75271%0.06
cacheC52340%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 30). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

101Matches
54%Win rate
1.88Avg K/D
106.7ADR
41%Headshot %

Clutches & streaks

62%1v1 clutch win
43%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage667%1.7824.0
Dust2580%1.6920.8
Cache367%2.3418.3
Nuke333%1.8318.3
Anubis2100%2.4227.5
Inferno2100%3.0420.0
Ancient10%1.3822.0
Overpass1100%2.5015.0

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.

19.2%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.5%Spray accuracy
84.2%Counter-strafing
8.3°Preaim
573msReaction time
56.5%T opening success
59.6%CT opening success
0.54Enemies flashed / flash
8.8%Flash assists
10.52HE damage / grenade
12.50Flashes / match

Recommended for you

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.

40% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–100.126%28 Aug
inferno11–130.0625%22 Aug
ancient12–160.1020%22 Aug
mirage13–80.0713%21 Aug
inferno0–60.0210%21 Aug
nuke16–140.0920%11 Aug
ancient8–00.4026%11 Aug
cache4–130.0324%11 Aug
inferno11–130.0422%8 Aug
inferno12–160.0128%5 Aug
anubis13–100.0927%2 Aug
anubis13–90.0611%2 Aug
cache3–13-0.0526%2 Aug
mirage13–80.0911%2 Aug
nuke9–13-0.0121%2 Aug
inferno13–100.0515%1 Aug
inferno10–13-0.0230%1 Aug
inferno9–130.0825%29 Jul
anubis10–130.0423%29 Jul
mirage4–13-0.0617%28 Jul
inferno13–50.057%28 Jul
anubis13–40.1123%28 Jul
anubis13–70.0513%20 Jul
dust213–60.0925%20 Jul
ancient11–130.0514%16 Jul
cache7–13-0.0518%16 Jul
inferno13–110.1716%13 Jul
inferno3–13-0.0621%13 Jul
inferno13–80.1114%12 Jul
nuke13–70.0818%12 Jul
mirage6–130.0319%5 Jul
ancient13–160.0320%5 Jul
mirage13–50.0728%4 Jul
inferno9–130.0821%4 Jul
anubis16–140.0610%4 Jun
cache13–10.1718%4 Jun
nuke13–50.1329%4 Jun
inferno3–13-0.0019%29 May
dust213–60.1018%28 May
ancient13–50.1215%26 May
anubis10–13-0.0121%25 May
inferno13–70.0422%20 May
inferno9–13-0.0320%12 May
dust213–110.0527%12 May
anubis13–50.1316%12 May
cache13–70.0811%8 May
dust215–150.0620%5 May
anubis13–70.0428%5 May
inferno7–13-0.0226%4 May
dust215–15-0.0123%30 Apr
dust213–40.1430%30 Apr
dust213–60.1714%29 Apr
dust26–13-0.0215%28 Apr
inferno10–130.1618%28 Apr
inferno13–11-0.0114%25 Apr
nuke13–110.0422%25 Apr
anubis13–100.0125%24 Apr
inferno11–130.0316%23 Apr
inferno2–13-0.0332%20 Apr
anubis13–50.1226%20 Apr
overpass13–90.1218%17 Apr
overpass13–40.0930%16 Apr
ancient13–70.0414%16 Apr
nuke13–50.0538%13 Apr
inferno13–00.1830%13 Apr
anubis7–130.0019%8 Apr
dust213–70.0141%8 Apr
anubis14–160.0128%8 Apr
ancient15–150.1015%7 Apr
inferno13–110.009%5 Apr
overpass13–160.0515%5 Apr
overpass13–90.0822%1 Apr
inferno15–15-0.0224%1 Apr
inferno13–20.2324%1 Apr
ancient9–130.1425%31 Mar
inferno6–13-0.0016%28 Mar
anubis13–110.0523%28 Mar
anubis9–130.0116%27 Mar
inferno13–80.0123%27 Mar
ancient13–70.0513%26 Mar
anubis13–30.1224%26 Mar
mirage0–13-0.0422%26 Mar
nuke5–13-0.0327%24 Mar
inferno4–130.0133%24 Mar
ancient13–40.0023%24 Mar
overpass13–40.0214%23 Mar
mirage10–130.0023%23 Mar
inferno15–150.0918%22 Mar
anubis5–130.0619%22 Mar
inferno16–120.0512%22 Mar
inferno13–10-0.0216%21 Mar
ancient13–110.0323%20 Mar
ancient13–100.0918%20 Mar
overpass13–100.0623%20 Mar
anubis13–30.0720%18 Mar
nuke13–30.0414%17 Mar
anubis13–80.0521%17 Mar
ancient9–130.0417%16 Mar
ancient13–50.1420%12 Mar
overpass10–130.0330%10 Mar

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →