-h0r4l3x

-h0r4l3x — CS2 Stats

AT76561198061155326[U:1:100889598]Steam profile ↗✓ No bans

835Tracked matches54%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating18,437Purple band · top ~14.7% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,437 -1,260 29 Aug – 27 Sept · 16 days played
18,21720,131peak 20,13129 Aug27 Sept
20,457Peak Premier in tracked matches
29Days played since 2026-05-15

Premier CS Rating

  • 1,694 below peak (20,131)
  • -1,260 over 30 days · declining
  • Next: Pink band at 20,000 — 1,563 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GG-h0r4l3xFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER18,437 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning65
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLWWLWLWLLT

Last 10 vs previous 10: −20pp win rate · −0.07 avg rating · −2.8pp headshot accuracy · −63ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 502ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 538ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 569ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.7 against its own average).

Aim8.3
Utility3.3
Positioning6.5
Opening Duels5.4
Clutch0.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 88% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 73% on T to 51% on CT — first contacts on the defending side are being lost.

Reaction time. 564ms 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

Aim8.3
Positioning6.5
Utility3.3
Mechanics6.0
Opening Duels7.6
Win Impact6.2

Composite 6.6/10 (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+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time561ms−63ms
first ⅓ avg 624ms → last ⅓ avg 561ms
Headshot accuracy29.9%−3.2%
first ⅓ avg 33.1% → last ⅓ avg 29.9%

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.

Personal bests

0.16Best match rating · 12–12 · train, 27 Sept →
63%Best headshot accuracy · 13–7 · ancient, 1 Aug →
391msFastest reaction time · 13–0 · dust2, 12 Sept →
13–0Biggest win · dust2, 12 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 50% over 14ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%0.01
cacheB2210–1245%-0.01
dust2B2110–1148%0.02
infernoB147–750%0.02
anubisC104–640%0.00
ancientD51–420%0.01
nukeC52–340%-0.03
train—10–10%0.16

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

577Matches
51%Win rate
1.15Avg K/D
79.4ADR
56%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3560%1.3117.7
Anubis3050%1.0115.9
Overpass1675%1.1817.9
Ancient1225%1.0014.6
Mirage825%1.1817.4
Vertigo333%0.8715.0
Nuke250%0.6214.5
Dust2250%0.769.5

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.

30.2%Headshot accuracy
32.2%Accuracy (enemy spotted)
38.8%Spray accuracy
77.2%Counter-strafing
9.1°Preaim
564msReaction time
73.3%T opening success
51.2%CT opening success
0.35Enemies flashed / flash
11.5%Flash assists
8.86HE damage / grenade
1.94Flashes / 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 0.3545 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0829%27 Sept →
inferno13–5-0.0414%27 Sept →
cache13–7-0.0822%27 Sept →
anubis10–13-0.0126%27 Sept →
dust213–50.0626%27 Sept →
ancient4–13-0.0124%27 Sept →
cache13–7-0.0529%27 Sept →
anubis12–16-0.0324%27 Sept →
dust211–13-0.0327%27 Sept →
train12–120.1644%27 Sept →
anubis13–60.1134%27 Sept →
cache13–4-0.0027%27 Sept →
nuke13–20.0735%27 Sept →
dust26–130.0344%27 Sept →
mirage13–100.1031%27 Sept →
dust213–60.0321%27 Sept →
ancient7–130.0320%27 Sept →
inferno12–120.0920%27 Sept →
cache6–130.0337%27 Sept →
mirage13–50.1422%26 Sept →
dust213–80.0629%26 Sept →
anubis9–13-0.0438%26 Sept →
mirage13–7-0.0121%26 Sept →
mirage13–100.0135%26 Sept →
nuke9–13-0.0557%26 Sept →
anubis4–13-0.0319%26 Sept →
cache4–13-0.0848%24 Sept →
mirage13–6-0.0123%24 Sept →
inferno13–40.1147%24 Sept →
cache9–130.0431%24 Sept →
ancient5–130.0138%16 Sept →
anubis9–13-0.0115%15 Sept →
inferno10–13-0.0230%14 Sept →
mirage14–16-0.0425%13 Sept →
cache11–13-0.0126%12 Sept →
dust213–00.0730%12 Sept →
cache8–130.0536%12 Sept →
dust27–13-0.0029%11 Sept →
mirage13–10.0843%11 Sept →
nuke2–13-0.0931%10 Sept →
dust215–150.0329%10 Sept →
dust213–8-0.0224%10 Sept →
inferno13–6-0.0131%10 Sept →
cache16–140.0225%10 Sept →
mirage7–13-0.0133%10 Sept →
dust211–130.0128%9 Sept →
dust210–130.0424%7 Sept →
dust26–13-0.0127%7 Sept →
inferno10–13-0.0031%7 Sept →
inferno13–40.0929%7 Sept →
nuke11–13-0.0621%6 Sept →
mirage8–13-0.0440%5 Sept →
cache13–11-0.0727%5 Sept →
cache13–10.0350%2 Sept →
mirage10–130.0213%1 Sept →
anubis13–7-0.0030%1 Sept →
anubis11–130.0229%30 Aug →
cache7–13-0.0623%30 Aug →
dust23–130.0544%30 Aug →
mirage13–50.1244%30 Aug →
inferno11–13-0.0136%30 Aug →
cache13–80.0738%30 Aug →
nuke13–4-0.0315%29 Aug →
inferno13–110.0328%29 Aug →
dust213–60.0015%29 Aug →
ancient3–130.0222%29 Aug →
mirage12–12-0.0127%28 Aug →
cache11–130.0326%28 Aug →
dust213–00.1117%28 Aug →
anubis13–70.0443%28 Aug →
anubis13–7-0.0235%28 Aug →
dust213–30.1433%27 Aug →
mirage13–9-0.0228%27 Aug →
cache13–30.1021%27 Aug →
mirage8–13-0.0218%27 Aug →
mirage7–13-0.0327%27 Aug →
inferno13–00.0426%19 Aug →
mirage14–16-0.0646%17 Aug →
dust213–10-0.0447%17 Aug →
dust213–10-0.0129%9 Aug →
cache9–13-0.0128%9 Aug →
mirage13–70.0226%9 Aug →
inferno13–100.0333%9 Aug →
cache5–13-0.0844%9 Aug →
cache13–90.0738%1 Aug →
ancient13–70.0163%1 Aug →
inferno9–130.0129%25 Jul →
inferno5–130.0326%25 Jul →
mirage11–13-0.0133%25 Jul →
dust28–13-0.0620%25 Jul →
dust29–13-0.0739%23 Jul →
cache13–11-0.0356%23 Jul →
mirage13–160.0123%18 May →
cache7–13-0.0050%16 May →
mirage13–100.0443%16 May →
dust21–13-0.0629%16 May →
mirage11–13-0.0444%16 May →
inferno5–13-0.0411%16 May →
cache7–13-0.0733%15 May →
cache6–13-0.0231%15 May →

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 →

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