H1BB1DY — CS2 Stats

76561198125959537[U:1:165693809]

1,230Tracked matches57%Win rate2020Tracked since
CSDB Rating5.8 SolidClutch Specialist
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#10345 of 24117 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGH1BB1DYPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning50
Utility34

0–100 skill scores via Leetify.

Recent form

HOT49483Last 10049%Win rateWWLWWWLWWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim7.5
Aggression4.7
Utility3.4
Positioning5.0
Opening Duels1.7
Clutch9.4

Strong CT-side openerLimited utility dependenceReliable 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

NiKo

Plays most like NiKo 88% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

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 46% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim7.5
Positioning5.0
Utility3.4
Mechanics7.8
Opening Duels1.9
Win Impact7.2

Composite 5.8/10 (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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time592ms+2ms
first ⅓ avg 590ms → last ⅓ avg 592ms
Headshot accuracy14.5%−0.9%
first ⅓ avg 15.4% → last ⅓ avg 14.5%

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

0.28Best rating — inferno 9–1
133Biggest win — nuke
5Longest win streak
W2Current streak
106In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 67% over 9infernoWeakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
infernoC2491538%0.01
mirageB21101148%0.00
ancientA1811761%0.01
dust2C167944%0.02
nukeS96367%0.00
anubisC73443%0.02
cache42250%-0.02
overpass110100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

120Matches
48%Win rate
1.11Avg K/D
80.1ADR
33%Headshot %

Clutches & streaks

67%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage743%0.9013.4
Ancient757%1.1114.6
Inferno540%1.0014.4
Nuke10%1.6725.0

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.

14.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
39.3%Spray accuracy
85.0%Counter-strafing
7.7°Preaim
590msReaction time
28.4%T opening success
45.6%CT opening success
0.37Enemies flashed / flash
0.0%Flash assists
12.09HE damage / grenade
1.87Flashes / 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. 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 14.5861% — below the 15% mark we flag

    Aim Training
  2. 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 0.3705 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 28.3615% — 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.

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–110.0113%26 Aug
inferno9–10.2810%26 Aug
inferno4–9-0.106%25 Aug
cache13–10-0.0112%24 Aug
inferno13–90.0713%22 Aug
mirage13–50.1013%22 Aug
mirage7–13-0.0610%22 Aug
inferno13–11-0.019%22 Aug
inferno13–9-0.0112%17 Aug
mirage4–13-0.0118%15 Aug
ancient11–20.0613%15 Aug
ancient13–90.0210%11 Aug
mirage7–13-0.0114%10 Aug
mirage13–110.069%10 Aug
anubis13–80.0112%10 Aug
ancient9–13-0.0214%10 Aug
nuke16–13-0.057%8 Aug
anubis9–130.0415%8 Aug
inferno2–9-0.0325%8 Aug
ancient13–8-0.0313%8 Aug
ancient11–13-0.0118%7 Aug
ancient10–130.0121%6 Aug
inferno10–13-0.0023%5 Aug
ancient10–130.0421%4 Aug
dust20–13-0.0318%4 Aug
inferno6–40.0119%4 Aug
ancient13–90.0413%4 Aug
mirage13–40.038%2 Aug
nuke13–110.0419%2 Aug
mirage13–60.0325%2 Aug
dust29–130.0122%2 Aug
anubis9–130.0610%2 Aug
cache5–13-0.0315%1 Aug
inferno13–50.0218%1 Aug
dust211–13-0.0216%31 Jul
inferno15–15-0.0715%31 Jul
dust29–130.0116%31 Jul
nuke13–70.0226%31 Jul
mirage13–50.068%30 Jul
inferno8–130.0321%26 Jul
dust216–120.0313%26 Jul
inferno10–13-0.0518%26 Jul
dust215–150.0222%26 Jul
dust214–16-0.0211%25 Jul
ancient10–13-0.026%25 Jul
mirage10–130.0117%25 Jul
anubis13–7-0.0213%25 Jul
mirage13–8-0.0210%23 Jul
anubis13–80.0310%23 Jul
anubis4–13-0.0316%20 Jul
mirage6–13-0.037%19 Jul
ancient16–14-0.0415%18 Jul
dust216–140.0316%17 Jul
inferno13–90.0410%17 Jul
dust210–130.0217%17 Jul
mirage11–13-0.0317%17 Jul
ancient16–120.0412%16 Jul
inferno9–13-0.0121%16 Jul
nuke7–13-0.0215%16 Jul
mirage6–13-0.0618%15 Jul
inferno9–13-0.0512%13 Jul
mirage8–13-0.0213%12 Jul
mirage13–50.0423%12 Jul
cache5–13-0.057%12 Jul
inferno8–130.0114%12 Jul
nuke13–3-0.0319%12 Jul
inferno15–150.019%12 Jul
ancient13–100.0122%11 Jul
dust27–130.0024%11 Jul
nuke13–100.0410%10 Jul
ancient5–13-0.0312%10 Jul
dust213–6-0.0125%10 Jul
mirage13–80.0116%10 Jul
cache13–90.0210%9 Jul
mirage6–13-0.0418%9 Jul
mirage13–11-0.0619%5 Jul
mirage4–13-0.078%5 Jul
inferno13–70.0816%5 Jul
anubis9–130.0316%4 Jul
nuke11–130.0617%4 Jul
dust213–40.0513%4 Jul
dust26–13-0.0115%4 Jul
ancient13–60.058%3 Jul
mirage13–90.0510%3 Jul
nuke13–50.0018%3 Jul
inferno8–13-0.0221%3 Jul
inferno5–130.0117%1 Jul
overpass13–50.0515%1 Jul
mirage7–130.0112%30 Jun
dust216–120.0417%30 Jun
dust213–50.1018%30 Jun
ancient16–140.0113%28 Jun
inferno13–90.0715%28 Jun
ancient16–130.0913%28 Jun
nuke8–13-0.0611%28 Jun
inferno10–13-0.0512%28 Jun
ancient9–130.0120%28 Jun
dust213–110.0611%27 Jun
inferno11–130.0219%27 Jun
inferno9–13-0.0120%27 Jun

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 →