Hell_o1 — CS2 Stats

76561199864431240[U:1:1904165512]✓ No bans

655Tracked matches39%Win rate2025Tracked since
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating18,634Purple band · top ~13.9% of ranked players (population est.)
CSDB Leaderboard#13448 of 27565 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGHell_o1FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,634 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning62
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46477Last 10046%Win rateWLWWWLWTWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

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

Aim6.9
Aggression9.2
Utility5.0
Positioning6.2
Opening Duels5.2
Clutch3.6

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

donk

Plays most like donk 89% playstyle similarity

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

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. 61% 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 61% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim6.9
Positioning6.2
Utility5.0
Mechanics5.1
Opening Duels5.2
Win Impact1.4

Composite 5.5/10 (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 rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time573ms−33ms
first ⅓ avg 607ms → last ⅓ avg 573ms
Headshot accuracy19.5%+3.5%
first ⅓ avg 16.0% → last ⅓ avg 19.5%

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

0.18Best rating — dust2 13–5
131Biggest win — anubis
7Longest win streak
87In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 60% over 10infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B25131252%0.03
ancientB189950%0.01
nukeD1741324%-0.02
anubisA116555%-0.00
infernoD102820%-0.02
cacheA106460%0.00
mirageB63350%-0.01
overpass220100%-0.04
train110100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

173Matches
45%Win rate
1.09Avg K/D
85.9ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient3647%1.1617.1
Anubis2662%1.0315.6
Dust22654%1.0817.1
Inferno2433%1.0514.6
Nuke2236%1.3217.2
Mirage2025%0.8715.3
Cache1747%1.0816.6
Vertigo250%0.7811.0

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.

20.1%Headshot accuracy
34.2%Accuracy (enemy spotted)
39.8%Spray accuracy
72.8%Counter-strafing
10.0°Preaim
578msReaction time
40.7%T opening success
60.6%CT opening success
0.56Enemies flashed / flash
5.7%Flash assists
4.83HE damage / grenade
9.11Flashes / match

Recommended for you

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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0317%29 Aug
dust26–13-0.0010%23 Aug
train13–4-0.0520%23 Aug
dust213–90.0719%16 Aug
mirage13–10-0.0327%15 Aug
ancient10–13-0.0218%15 Aug
dust213–50.1826%15 Aug
dust212–120.1422%14 Aug
nuke13–5-0.0217%14 Aug
inferno3–130.0813%14 Aug
cache5–130.0317%13 Aug
dust26–13-0.0432%9 Aug
ancient7–130.0219%9 Aug
dust213–11-0.0116%8 Aug
ancient5–130.0526%8 Aug
ancient10–13-0.0021%8 Aug
dust213–20.0623%7 Aug
inferno4–13-0.0713%2 Aug
dust212–120.0820%2 Aug
dust25–130.1119%2 Aug
dust27–8-0.0432%1 Aug
dust213–20.0327%1 Aug
ancient10–130.0217%1 Aug
dust24–13-0.0322%1 Aug
nuke9–13-0.0523%1 Aug
mirage10–13-0.0012%1 Aug
ancient13–10-0.0426%26 Jul
cache8–130.0019%26 Jul
anubis13–10.0718%26 Jul
inferno2–13-0.0814%26 Jul
anubis13–50.0117%25 Jul
ancient11–130.0411%25 Jul
dust219–17-0.0311%25 Jul
ancient13–110.0413%25 Jul
dust210–13-0.0013%25 Jul
anubis10–130.0118%24 Jul
nuke13–50.0116%20 Jul
anubis7–13-0.016%20 Jul
cache13–8-0.0012%20 Jul
nuke6–13-0.0417%19 Jul
nuke9–130.1523%19 Jul
nuke12–12-0.0110%19 Jul
cache13–5-0.0119%19 Jul
inferno6–13-0.0412%19 Jul
nuke11–13-0.059%19 Jul
ancient13–40.0710%18 Jul
cache13–100.0231%18 Jul
dust213–80.0118%18 Jul
cache13–50.0517%18 Jul
dust215–150.0122%16 Jul
nuke7–13-0.008%16 Jul
cache13–9-0.0121%16 Jul
nuke8–13-0.098%16 Jul
cache3–13-0.1414%16 Jul
inferno7–13-0.038%15 Jul
anubis6–130.0010%15 Jul
ancient13–110.0317%14 Jul
nuke13–6-0.0336%14 Jul
anubis13–9-0.0417%14 Jul
nuke13–16-0.0222%13 Jul
inferno9–13-0.0311%13 Jul
cache15–150.0113%13 Jul
dust211–13-0.019%13 Jul
nuke9–13-0.0113%12 Jul
ancient13–110.0311%12 Jul
inferno15–150.0120%12 Jul
anubis13–16-0.067%11 Jul
nuke7–13-0.0614%11 Jul
ancient10–13-0.0123%8 Jul
dust27–130.0422%5 Jul
anubis13–9-0.0425%5 Jul
ancient13–100.048%5 Jul
dust27–60.0128%5 Jul
dust213–90.1418%4 Jul
anubis13–100.0510%3 Jul
ancient3–13-0.038%3 Jul
nuke13–60.0311%3 Jul
anubis13–100.0615%3 Jul
dust213–10-0.0316%3 Jul
ancient13–11-0.0613%3 Jul
mirage13–8-0.0025%1 Jul
ancient13–90.0019%1 Jul
dust213–11-0.0011%1 Jul
anubis4–13-0.0523%1 Jul
cache13–70.0619%1 Jul
inferno13–9-0.0115%30 Jun
ancient13–70.0020%30 Jun
dust213–9-0.0222%30 Jun
nuke7–130.0518%30 Jun
mirage15–15-0.0419%30 Jun
ancient11–13-0.0220%30 Jun
mirage13–1-0.075%30 Jun
nuke7–13-0.069%29 Jun
dust213–60.0323%29 Jun
overpass13–9-0.120%29 Jun
inferno13–90.0014%29 Jun
overpass13–100.0421%29 Jun
inferno14–16-0.0710%29 Jun
nuke8–13-0.0610%29 Jun
mirage8–130.0612%28 Jun

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 →