Hunter

Hunter — CS2 Stats

US76561198055995374[U:1:95729646]Steam profile ↗

1,595Tracked matches46%Win rate2020Tracked since
1,889Hours in CS
CSDB Rating4.8 Developing
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGHunterFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning58
Utility26

0–100 skill scores via Leetify.

Recent form

COLD48475Last 10048%Win rateLLLWLLLLWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.4
Aggression7.5
Utility2.6
Positioning5.8
Opening Duels3.7
Clutch3.4

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 83% playstyle similarity

Most alike: opening-fight frequency, 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 56% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim5.4
Positioning5.8
Utility2.6
Mechanics6.1
Opening Duels3.7
Win Impact3.8

Composite 4.8/10 (Developing), 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 0.04 → last ⅓ avg 0.02
Reaction time588ms−52ms
first ⅓ avg 640ms → last ⅓ avg 588ms
Headshot accuracy19.0%+4.1%
first ⅓ avg 14.9% → last ⅓ avg 19.0%

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

0.20Best rating — office 13–2
130Biggest win — stronghold
6Longest win streak
L3Current streak
46In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 60% over 10dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeB137654%0.02
dust2D124833%-0.00
officeB126650%0.06
mirageB105550%0.03
trainA106460%0.01
infernoA95456%0.02
ancientC73443%0.01
anubisB63350%0.03
cache31233%0.04
vertigo330100%0.01
overpass31233%0.02
jura3030%0.06
stronghold21150%0.06
agency21150%-0.02
shelter1010%0.09
warden110100%0.08
golden1010%0.03
palacio110100%0.10
grail1010%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,831Lifetime kills
0.96K/D
4,687Matches
40.5%Match win rate
37.3%Headshot %
15.5%Shot accuracy · Top 25% of tracked players
8,071MVPs
1,889Hours (in match)
4,539Bombs planted
854Bombs defused

Most-used weapons

AK-4723,915
AWP14,219
MP74,761
MAC-102,762
MP91,725

Lifetime map wins

7,936dust2
6,390nuke
4,439inferno
2,430office
2,230vertigo
1,428train
148cbble
125lake

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

Faceit stats

Combat

196Matches
50%Win rate
1.19Avg K/D
90.1ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4650%1.1518.0
Inferno3847%1.1217.2
Nuke3462%1.4516.9
Vertigo2442%1.2317.2
Dust21759%1.1914.9
Anubis1650%1.1215.7
Ancient1346%1.0516.7
Train540%0.9414.6

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.

18.1%Headshot accuracy
30.5%Accuracy (enemy spotted)
30.6%Spray accuracy
77.3%Counter-strafing
10.5°Preaim
595msReaction time
33.7%T opening success
55.8%CT opening success
0.28Enemies flashed / flash
3.5%Flash assists
8.92HE damage / grenade
2.66Flashes / 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 0.2803 — 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 33.6621% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0311%15 Jul
cache7–13-0.0334%15 Jul
shelter4–130.0914%15 Jul
cache13–40.1915%2 May
cache7–13-0.0320%2 May
nuke11–13-0.0016%9 Feb
ancient8–130.1216%1 Feb
stronghold7–13-0.0111%1 Feb
mirage10–70.0113%1 Feb
anubis13–1-0.0044%25 Jan
mirage9–13-0.0218%25 Jan
stronghold13–00.1323%23 Jan
warden13–70.0819%23 Jan
nuke7–13-0.0221%2 Jan
mirage6–13-0.0020%30 Dec
dust26–130.035%30 Dec
train13–80.0315%28 Dec
ancient12–120.0514%28 Dec
office13–110.0522%28 Dec
dust213–80.0418%27 Dec
office13–40.0814%26 Dec
office10–130.1323%26 Dec
mirage11–130.0216%24 Dec
nuke13–40.0115%23 Dec
vertigo13–4-0.055%12 Dec
train13–80.0211%12 Dec
office12–120.0119%12 Dec
office9–6-0.0226%12 Dec
office1–5-0.0140%12 Dec
office11–13-0.0225%8 Dec
anubis10–130.0618%5 Dec
mirage4–13-0.0925%5 Dec
inferno7–13-0.0122%5 Dec
office13–110.0222%25 Nov
nuke8–130.0321%25 Nov
mirage13–30.125%25 Nov
vertigo13–8-0.0117%25 Nov
anubis13–20.0319%21 Nov
dust24–13-0.0516%11 Nov
ancient8–13-0.048%11 Nov
overpass6–130.0424%11 Nov
inferno13–100.0815%11 Nov
office5–30.1712%7 Nov
golden9–130.0312%10 Oct
palacio6–10.107%9 Oct
dust213–100.0015%13 Sept
train9–130.0121%13 Sept
ancient13–10-0.0424%19 Aug
train7–130.0022%19 Aug
dust23–13-0.046%19 Aug
inferno4–13-0.0514%19 Aug
dust213–100.0019%17 Aug
nuke13–6-0.0414%17 Aug
nuke13–60.0911%16 Aug
ancient13–10-0.075%16 Aug
inferno7–13-0.027%16 Aug
nuke13–9-0.0215%11 Aug
overpass6–13-0.014%10 Aug
inferno13–50.068%10 Aug
mirage5–130.0114%10 Aug
inferno13–110.0310%10 Aug
mirage13–60.0613%10 Aug
overpass13–70.0224%9 Aug
inferno13–9-0.0310%9 Aug
train9–40.0916%9 Aug
nuke13–60.0112%9 Aug
anubis9–13-0.0113%9 Aug
nuke13–90.0311%9 Aug
ancient7–13-0.0116%8 Aug
mirage13–60.0813%8 Aug
dust210–13-0.0118%8 Aug
dust211–13-0.0719%8 Aug
office13–30.0723%8 Aug
train13–100.0119%8 Aug
nuke7–13-0.0321%8 Aug
inferno9–13-0.0217%7 Aug
ancient13–40.0415%7 Aug
train16–14-0.0413%14 Jul
dust29–13-0.039%1 Jul
jura12–120.1011%8 Jun
jura12–120.0713%27 May
train7–13-0.0413%27 May
agency13–80.0110%27 May
grail10–13-0.038%17 May
agency10–13-0.0614%17 May
jura9–13-0.0011%16 May
nuke13–80.1712%3 May
train5–130.0613%3 May
dust213–6-0.0124%3 May
office13–20.2019%3 May
anubis13–100.0812%11 Apr
dust212–120.0714%11 Apr
train13–8-0.0111%9 Apr
anubis10–13-0.0114%1 Apr
inferno13–40.1423%1 Apr
mirage13–40.1726%1 Apr
vertigo13–80.0910%1 Apr
office11–130.0511%15 Mar
dust26–130.0215%13 Mar
nuke7–130.0715%13 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 →