Hugs

Hugs — CS2 Stats

CA76561198362308304[U:1:402042576]Steam profile ↗✓ No bans

897Tracked matches64%Win rate2025Tracked since
CSDB Rating5.7 SolidHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGHugsFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning56
Utility31

0–100 skill scores via Leetify.

Recent form

HOT62317Last 10062%Win rateWWWWLWWWWT

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim6.7
Aggression7.9
Utility3.1
Positioning5.6
Opening Duels3.5
Clutch5.6

Limited utility dependence

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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 586ms 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

Aim6.7
Positioning5.6
Utility3.1
Mechanics5.2
Opening Duels3.5
Win Impact9.8

Composite 5.7/10 (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 0.02 → last ⅓ avg 0.02
Reaction time594ms+12ms
first ⅓ avg 581ms → last ⅓ avg 594ms
Headshot accuracy20.6%+1.6%
first ⅓ avg 19.0% → last ⅓ avg 20.6%

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

0.28Best rating — inferno 9–0
130Biggest win — inferno
8Longest win streak
W4Current streak
96In matches decided by ≤2 rounds
1Overtime games

Map breakdown

officeBest map · 75% over 16ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageS2718967%0.01
infernoS2215768%0.04
officeS1612475%0.03
nukeC94544%0.02
anubisC94544%0.00
ancientC83538%-0.01
dust221150%-0.01
shelter110100%0.06
fachwerk110100%0.06
boulder1010%0.05
overpass110100%-0.00
cache110100%0.03
vertigo110100%0.06
train1010%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

73Matches
49%Win rate
0.93Avg K/D
73.1ADR
38%Headshot %

Clutches & streaks

48%1v1 clutch win
24%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust22236%0.7813.4
Mirage1850%0.9513.6
Anubis1155%0.9413.6
Inferno1080%1.2414.3
Nuke540%0.7912.6
Ancient425%0.8016.0
Train367%1.1711.7

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.

20.5%Headshot accuracy
34.5%Accuracy (enemy spotted)
34.0%Spray accuracy
73.5%Counter-strafing
9.4°Preaim
586msReaction time
37.0%T opening success
50.7%CT opening success
0.34Enemies flashed / flash
2.8%Flash assists
10.88HE damage / grenade
1.96Flashes / 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 0.3433 — 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 36.9983% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–60.1018%3 Aug
nuke6–4-0.0413%3 Aug
mirage13–9-0.0015%3 Aug
inferno9–50.1835%3 Aug
office6–13-0.0430%30 Jul
inferno9–60.0920%29 Jul
inferno13–60.0538%25 Jul
shelter13–40.0619%11 Jul
fachwerk13–10.0622%11 Jul
boulder12–120.0512%11 Jul
office13–90.1017%6 Jul
inferno13–100.0624%6 Jul
nuke7–130.0526%5 Jul
inferno7–13-0.0521%5 Jul
mirage13–11-0.0024%5 Jul
mirage13–11-0.0123%5 Jul
anubis6–13-0.0213%5 Jul
inferno13–50.0619%5 Jul
mirage10–13-0.0320%5 Jul
mirage11–13-0.0016%5 Jul
dust215–15-0.0521%5 Jul
mirage13–110.0231%4 Jul
mirage8–130.0429%4 Jul
anubis5–13-0.057%4 Jul
mirage13–50.0132%4 Jul
ancient13–9-0.0316%4 Jul
overpass13–11-0.0021%2 Jul
mirage10–13-0.0615%2 Jul
anubis7–13-0.0526%1 Jul
mirage13–9-0.0220%1 Jul
mirage13–50.0010%1 Jul
mirage13–90.1214%1 Jul
inferno13–70.0414%1 Jul
cache13–110.0311%1 Jul
nuke13–100.1220%1 Jul
inferno10–20.1125%30 Jun
mirage13–30.0319%30 Jun
mirage12–12-0.0221%30 Jun
inferno13–00.0718%30 Jun
office13–30.0823%30 Jun
anubis13–11-0.0413%26 Jun
nuke10–130.1117%26 Jun
inferno13–110.0230%26 Jun
ancient10–130.0112%26 Jun
mirage6–13-0.0326%26 Jun
mirage13–100.0319%26 Jun
inferno5–13-0.0718%25 Jun
anubis13–60.0226%25 Jun
ancient10–13-0.0627%25 Jun
mirage13–7-0.0512%25 Jun
inferno13–6-0.0525%25 Jun
nuke12–120.0124%25 Jun
mirage13–50.0111%24 Jun
office13–4-0.0420%24 Jun
office13–80.0331%24 Jun
mirage13–40.0330%24 Jun
mirage4–13-0.0533%24 Jun
office13–100.0323%24 Jun
inferno13–6-0.0221%24 Jun
mirage13–10.144%24 Jun
mirage13–50.0634%4 Jun
nuke11–13-0.0330%4 Jun
office13–70.0318%4 Jun
mirage13–5-0.0223%29 May
office13–20.0821%29 May
ancient9–13-0.014%20 May
vertigo13–40.0622%20 May
anubis6–130.0618%20 May
ancient3–00.0240%20 May
mirage4–13-0.0619%17 May
office13–90.1017%17 May
mirage11–130.0219%17 May
office4–13-0.0610%17 May
anubis8–130.0314%16 May
dust213–80.0427%16 May
nuke13–20.0827%16 May
mirage13–60.087%16 May
office13–100.0312%16 May
mirage13–30.1030%14 May
office7–13-0.0316%14 May
nuke13–80.0615%14 May
office13–50.1034%12 May
anubis13–90.0416%12 May
office3–13-0.035%12 May
office13–9-0.0115%12 May
train11–130.0522%10 May
inferno12–120.0820%10 May
ancient13–60.0514%10 May
inferno9–00.2817%9 May
inferno7–90.0515%9 May
inferno4–9-0.295%9 May
inferno8–80.0115%9 May
inferno9–7-0.0421%9 May
inferno9–20.1129%9 May
inferno8–80.0520%9 May
nuke2–9-0.1522%9 May
anubis13–100.0326%15 Apr
ancient10–13-0.0620%15 Apr
office13–50.0727%5 Apr
ancient11–13-0.0013%29 Mar

Match data via Leetify.

Recent teammates

Milestones

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