HugeHugo — CS2 Stats

76561198037500614[U:1:77234886]

1,639Tracked matches50%Win rate2020Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim66
Positioning54
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY45523Last 10045%Win rateLLWLWWLWLL

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

Player DNA

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

Aim6.6
Aggression6.6
Utility4.7
Positioning5.4
Opening Duels2.6
Clutch3.4

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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms 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

Aim6.6
Positioning5.4
Utility4.7
Mechanics7.6
Opening Duels2.6
Win Impact5.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time626ms−13ms
first ⅓ avg 640ms → last ⅓ avg 626ms
Headshot accuracy18.5%+0.4%
first ⅓ avg 18.1% → last ⅓ avg 18.5%

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

0.13Best rating — dust2 13–3
131Biggest win — dust2
4Longest win streak
L2Current streak
109In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
dust2B24131154%0.00
infernoD1951426%-0.01
mirageC1771041%-0.01
nukeD93633%0.00
overpassD93633%0.00
ancientA85363%0.01
anubisA74357%-0.01
vertigo42250%-0.01
train110100%0.03
basalt110100%0.03
thera110100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,843Matches
50%Win rate
1.05Avg K/D
79.1ADR
50%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage33656%1.0616.0
Dust216642%0.9314.8
Inferno14843%0.9915.3
Overpass6849%0.9414.3
Ancient6337%0.9015.0
Vertigo2055%1.0118.9
Train1765%1.0615.0
Anubis850%0.9311.1

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.

18.4%Headshot accuracy
34.9%Accuracy (enemy spotted)
33.2%Spray accuracy
84.2%Counter-strafing
10.7°Preaim
614msReaction time
32.4%T opening success
48.3%CT opening success
0.48Enemies flashed / flash
10.8%Flash assists
9.41HE damage / grenade
7.08Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4776 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 32.3648% — 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.

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.036%21 Aug
nuke12–16-0.0424%3 Jul
dust216–13-0.0017%24 Apr
inferno4–13-0.0025%13 Apr
inferno13–9-0.0320%16 Mar
overpass16–14-0.038%1 Mar
mirage10–13-0.0317%23 Feb
inferno13–100.0614%16 Feb
inferno11–130.0023%19 Jan
overpass4–13-0.0521%16 Jan
dust213–3-0.0822%16 Jan
overpass8–130.0415%7 Jan
inferno13–8-0.0123%5 Dec
dust213–10-0.0125%28 Nov
overpass14–16-0.0620%17 Nov
dust213–11-0.0414%17 Nov
inferno14–16-0.0122%16 Nov
ancient4–13-0.0214%25 Oct
mirage3–13-0.0429%25 Oct
train13–60.0327%6 Oct
dust213–7-0.0016%27 Sept
dust213–9-0.0316%6 Sept
mirage4–13-0.0324%6 Sept
inferno11–13-0.0124%22 Aug
dust211–130.1018%22 Aug
ancient13–110.0314%22 Aug
dust213–80.0516%22 Aug
overpass13–100.0614%22 Aug
mirage13–30.0720%22 Aug
inferno11–13-0.0112%14 Aug
mirage10–13-0.0116%8 Aug
nuke7–13-0.0419%10 Jul
mirage6–13-0.0615%10 Jul
inferno13–160.0726%29 Apr
ancient15–150.0522%29 Apr
dust213–1-0.0326%29 Apr
basalt13–80.0322%24 Apr
dust210–130.0123%23 Apr
ancient13–9-0.0319%23 Apr
dust27–130.0218%23 Apr
mirage13–6-0.0320%23 Apr
nuke6–130.0623%18 Apr
anubis5–130.0421%18 Apr
mirage7–130.1019%18 Apr
nuke13–90.0223%10 Apr
ancient13–110.0127%2 Apr
mirage2–13-0.089%23 Mar
inferno13–5-0.059%21 Mar
anubis13–50.0019%18 Mar
nuke4–13-0.0323%5 Feb
inferno5–13-0.0220%29 Jan
dust213–30.1328%29 Jan
dust217–19-0.0519%25 Jan
dust211–13-0.0316%24 Jan
mirage8–13-0.0320%24 Jan
overpass13–60.0220%18 Jan
vertigo4–13-0.085%18 Jan
anubis6–13-0.0322%18 Jan
inferno7–13-0.0321%5 Jan
nuke13–80.0316%5 Jan
mirage13–9-0.0223%5 Jan
dust213–50.0619%5 Jan
dust26–13-0.0413%29 Dec
inferno3–13-0.0111%29 Dec
dust28–13-0.0114%18 Dec
overpass12–120.0415%17 Dec
nuke13–110.0723%17 Dec
inferno16–130.0320%16 Dec
inferno14–16-0.009%6 Dec
inferno9–13-0.0429%6 Dec
mirage8–13-0.0317%26 Nov
dust210–13-0.0112%28 Oct
mirage13–100.0115%18 Oct
dust27–13-0.0820%18 Oct
dust28–13-0.058%26 Sept
mirage13–40.0526%13 Jul
thera5–60.0018%28 Jun
dust213–11-0.0225%27 Jun
anubis13–30.0129%23 May
nuke9–13-0.0516%16 May
vertigo15–15-0.0120%13 May
anubis13–11-0.0320%13 May
ancient13–10.0916%13 May
ancient9–13-0.0613%3 May
dust213–60.0924%26 Apr
dust28–130.0629%26 Apr
inferno6–13-0.0118%26 Apr
dust213–100.0523%26 Apr
ancient13–7-0.0117%25 Apr
anubis13–70.018%18 Apr
vertigo13–11-0.0119%15 Apr
overpass7–13-0.0116%12 Apr
vertigo13–110.0718%8 Apr
inferno6–130.0212%5 Apr
inferno7–13-0.0817%4 Apr
nuke7–130.0219%29 Mar
overpass5–13-0.0126%29 Mar
mirage13–5-0.0015%25 Mar
mirage13–80.0515%22 Mar
anubis2–13-0.108%15 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 →