Hemuli — CS2 Stats

76561198088433519[U:1:128167791]

2,695Tracked matches61%Win rate2021Tracked since
CSDB Rating7.3 StrongAggressive Rifler
Premier CS Rating25,409Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#2587 of 20921 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGHemuliPREMIER25,409 · Red bandcsdb.gg/stats

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Performance scores

Aim80
Positioning60
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY47458Last 10047%Win rateLWWWWLWTLW

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.0
Aggression10.0
Utility5.8
Positioning6.0
Opening Duels5.8
Clutch3.2

Strong CT-side openerLimited 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

sh1ro

Plays most like sh1ro 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 68% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim8.0
Positioning6.0
Utility5.8
Mechanics6.8
Opening Duels5.8
Win Impact8.6

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time570ms−52ms
first ⅓ avg 622ms → last ⅓ avg 570ms
Headshot accuracy27.2%+2.9%
first ⅓ avg 24.3% → last ⅓ avg 27.2%

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

0.25Best rating — vertigo 9–2
130Biggest win — dust2
5Longest win streak
65In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 60% over 10ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC2391439%0.01
ancientC1661038%0.01
nukeA127558%0.00
cacheA106460%0.03
mirageC83538%-0.01
anubisB84450%0.01
overpassA74357%0.06
dust2B63350%-0.02
trainC52340%0.01
vertigoA53260%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

158Matches
55%Win rate
1.21Avg K/D
85.8ADR
57%Headshot %

Clutches & streaks

36%1v1 clutch win
26%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3165%1.3417.5
Inferno3070%1.2717.2
Nuke2756%1.1717.7
Mirage1718%0.9616.2
Train1275%1.3019.8
Dust21155%0.9614.4
Anubis1145%1.3119.2
Cache650%1.3219.3

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.

25.9%Headshot accuracy
34.0%Accuracy (enemy spotted)
41.6%Spray accuracy
80.7%Counter-strafing
10.5°Preaim
579msReaction time
38.3%T opening success
68.0%CT opening success
0.64Enemies flashed / flash
10.8%Flash assists
13.00HE damage / grenade
4.30Flashes / 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. 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 38.3005% — 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 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
train3–13-0.0323%28 Aug
vertigo13–7-0.0134%28 Aug
cache13–20.1737%28 Aug
nuke13–10.0721%28 Aug
overpass9–20.0512%23 Aug
nuke5–9-0.0525%23 Aug
vertigo9–20.2533%23 Aug
inferno8–8-0.0235%23 Aug
nuke8–13-0.0823%22 Aug
inferno13–90.0031%22 Aug
train12–12-0.0136%22 Aug
ancient13–40.1523%22 Aug
mirage4–13-0.0819%18 Aug
inferno7–9-0.0331%18 Aug
inferno13–10.0430%18 Aug
mirage8–130.0421%18 Aug
anubis5–13-0.0520%18 Aug
inferno13–40.0624%17 Aug
inferno1–9-0.1344%5 Aug
overpass8–80.0743%5 Aug
vertigo8–80.0128%5 Aug
nuke9–6-0.0724%5 Aug
inferno13–160.0339%31 Jul
cache3–13-0.0615%27 Jul
train13–80.0037%27 Jul
vertigo13–40.0633%27 Jul
nuke6–13-0.0228%27 Jul
nuke13–110.0830%23 Jul
inferno13–90.0113%23 Jul
cache13–10-0.0135%23 Jul
inferno7–13-0.0117%23 Jul
ancient13–70.0518%21 Jul
nuke13–100.0615%21 Jul
anubis13–70.0935%21 Jul
inferno13–100.0519%21 Jul
ancient7–13-0.0521%20 Jul
anubis2–13-0.1219%20 Jul
cache13–110.0622%20 Jul
train12–120.0331%19 Jul
vertigo10–130.0636%19 Jul
mirage13–7-0.0133%14 Jul
ancient6–13-0.0327%14 Jul
ancient13–30.0528%14 Jul
inferno3–130.0221%14 Jul
cache13–10-0.0119%14 Jul
dust25–13-0.0416%14 Jul
dust213–00.00100%13 Jul
anubis13–60.0638%13 Jul
ancient1–13-0.0229%13 Jul
inferno13–11-0.0224%13 Jul
cache6–130.0735%13 Jul
cache5–13-0.0020%13 Jul
ancient10–13-0.0233%13 Jul
mirage13–00.000%11 Jul
anubis13–30.0231%11 Jul
mirage9–6-0.0326%11 Jul
ancient13–6-0.0135%11 Jul
inferno13–80.0234%11 Jul
nuke3–13-0.0845%10 Jul
cache16–120.0728%10 Jul
nuke13–11-0.0319%10 Jul
inferno3–13-0.0620%7 Jul
train13–30.0322%3 Jul
overpass8–80.0731%3 Jul
nuke8–80.0524%3 Jul
inferno8–8-0.0146%3 Jul
mirage2–13-0.0840%28 Jun
anubis7–130.0919%28 Jun
dust213–9-0.0226%28 Jun
mirage13–16-0.0523%23 Jun
inferno13–110.0133%23 Jun
dust211–130.0037%23 Jun
dust210–13-0.0130%2 Jun
inferno5–130.0239%2 Jun
ancient10–13-0.0524%2 Jun
dust213–10-0.0332%2 Jun
nuke13–100.0121%2 Jun
ancient6–130.0414%26 May
inferno8–130.0134%26 May
inferno8–130.0731%13 May
cache13–50.0131%13 May
ancient12–16-0.0317%8 May
inferno13–50.1418%8 May
cache9–13-0.0018%8 May
anubis9–130.0027%8 May
overpass13–100.0727%8 May
ancient13–110.0127%8 May
nuke13–80.0813%8 May
inferno6–13-0.0133%8 May
ancient11–130.0326%7 May
overpass13–50.0422%7 May
anubis13–10-0.0320%7 May
inferno8–13-0.0311%27 Apr
ancient13–30.0317%27 Apr
ancient14–16-0.0024%24 Apr
ancient11–130.0220%24 Apr
overpass13–50.1322%24 Apr
overpass8–13-0.0115%21 Apr
inferno9–130.0622%21 Apr
mirage6–130.1330%21 Apr

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 →