hoaX**

hoaX** — CS2 Stats

76561197987706045[U:1:27440317]Steam profile ↗✓ No bans

4,064Tracked matches33%Win rate2020Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating26,535Top 5% of 204,219 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#8921 of 251275 tracked
FaceitLevel 7 · 1,457 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (3 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: 26,535 +1,536 3 Sept – 9 Oct · 24 days played
23,95427,705peak 27,7053 Sept9 Oct
Faceit ELO: 1,457 +0 3 Sept – 12 Sept · 2 observations
1,4571,457peak 1,4573 Sept12 Sept
27,976Peak Premier in tracked matches
1,457Highest Faceit ELO seen on CSDB
27Days played since 2026-09-03

Faceit ELO

  • At peak — 1,457
  • Next: Level 8 at 1,531 — 74 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

Premier CS Rating

  • 1,170 below peak (27,705)
  • +2,213 over 30 days · improving
  • Next: Gold band at 30,000 — 3,465 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGhoaX**FACEITLevel 7 · 1,457 ELOSTANDINGTop 42.3% of rankedPREMIER26,535 · Red bandPEAK ELO1,457csdb.gg/stats

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Performance scores

Aim41
Positioning44
Utility58

0–100 skill scores via Leetify.

Recent form

COLD44–52–4Last 10044%Win rateLLLLLWLLWL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −0.2pp headshot accuracy · −36ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 514ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 511ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 529ms

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: Support — Utility contribution stands above the rest of this profile (+3.1 against its own average).

Aim4.1
Utility5.8
Positioning4.4
Opening Duels0.2
Clutch0.4

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

Twistzz

Plays most like Twistzz 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 46% on T to 27% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning4.4
Utility5.8
Mechanics2.1
Opening Duels2.0
Win Impact0.0

Composite 3.7/10 (Learning), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time533ms+3ms
first ⅓ avg 530ms → last ⅓ avg 533ms
Headshot accuracy15.6%−3.4%
first ⅓ avg 18.9% → last ⅓ avg 15.6%

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.

Personal bests

0.11Best match rating · 12–8 · anubis, 19 Sept →
38%Best headshot accuracy · 13–5 · dust2, 5 Oct →
352msFastest reaction time · 7–13 · dust2, 2 Oct →
13–2Biggest win · ancient, 12 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
8–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 77% over 13ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC228–1436%-0.00
dust2C176–1135%-0.02
nukeS1310–377%-0.00
anubisB137–654%0.01
ancientD92–722%-0.02
mirageS86–275%-0.01
cacheA74–357%0.01
overpass—40–40%-0.02
office—20–20%0.05
vertigo—21–150%0.05
train—20–20%-0.03
debris—10–10%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

68Matches
57%Win rate
0.97Avg K/D
81.2ADR
45%Headshot %

Clutches & streaks

22%1v1 clutch win
24%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1457%1.1416.5
Dust2771%1.0720.1
Mirage757%0.6812.4
Ancient450%1.0619.5
Nuke450%0.7411.5
Train3100%1.1515.0
Anubis250%0.9016.5
Overpass10%0.4810.0

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.

15.2%Headshot accuracy
30.5%Accuracy (enemy spotted)
40.4%Spray accuracy
59.5%Counter-strafing
13.1°Preaim
537msReaction time
45.9%T opening success
26.7%CT opening success
0.51Enemies flashed / flash
4.0%Flash assists
13.78HE damage / grenade
8.60Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0745° — above the 12° mark we flag

    Aim Training →
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0226%10 Oct →
office8–130.020%10 Oct →
overpass11–13-0.0018%10 Oct →
mirage7–130.0215%10 Oct →
inferno9–130.0715%10 Oct →
vertigo13–110.0320%10 Oct →
train4–130.0010%10 Oct →
overpass9–13-0.0221%10 Oct →
dust216–130.0110%9 Oct →
cache9–13-0.0121%9 Oct →
nuke3–13-0.0722%9 Oct →
ancient9–13-0.042%9 Oct →
anubis4–13-0.0721%9 Oct →
ancient11–130.0522%8 Oct →
inferno7–90.0623%8 Oct →
inferno8–130.0119%7 Oct →
inferno8–13-0.029%6 Oct →
dust213–9-0.024%6 Oct →
mirage13–11-0.0918%6 Oct →
inferno13–70.0315%6 Oct →
ancient10–130.0020%6 Oct →
inferno3–13-0.034%6 Oct →
nuke11–130.0116%5 Oct →
inferno13–90.0114%5 Oct →
dust213–50.0538%5 Oct →
cache13–70.0215%4 Oct →
cache13–70.027%4 Oct →
dust26–13-0.0313%4 Oct →
inferno13–10-0.0116%4 Oct →
ancient4–13-0.0813%4 Oct →
vertigo10–130.0713%4 Oct →
nuke12–12-0.0015%3 Oct →
dust213–100.0420%3 Oct →
inferno12–12-0.0412%2 Oct →
dust27–13-0.0120%2 Oct →
dust28–13-0.0715%2 Oct →
mirage2–13-0.0033%1 Oct →
nuke13–6-0.0213%1 Oct →
dust213–100.0223%1 Oct →
cache11–13-0.0617%1 Oct →
nuke13–8-0.0312%1 Oct →
anubis16–140.0017%1 Oct →
mirage13–100.0811%1 Oct →
nuke13–4-0.0313%1 Oct →
anubis13–80.0818%30 Sept →
dust213–11-0.0515%30 Sept →
debris4–9-0.0511%27 Sept →
mirage13–6-0.0315%25 Sept →
anubis13–100.0013%25 Sept →
nuke13–10-0.0222%25 Sept →
cache13–100.0318%25 Sept →
mirage13–9-0.0419%24 Sept →
nuke13–9-0.0223%24 Sept →
dust27–13-0.0516%24 Sept →
dust212–16-0.0316%23 Sept →
mirage13–5-0.0621%23 Sept →
inferno9–13-0.0312%20 Sept →
overpass3–13-0.0324%20 Sept →
cache8–130.0624%20 Sept →
mirage13–100.0329%20 Sept →
ancient13–9-0.036%20 Sept →
inferno13–70.0610%19 Sept →
anubis12–80.1115%19 Sept →
cache13–60.016%19 Sept →
ancient8–13-0.0127%19 Sept →
dust26–130.0520%19 Sept →
dust25–13-0.0220%18 Sept →
inferno14–160.0010%18 Sept →
inferno7–130.098%18 Sept →
ancient0–13-0.0718%18 Sept →
anubis13–70.0623%17 Sept →
nuke13–80.0618%17 Sept →
inferno13–11-0.0516%16 Sept →
anubis10–13-0.0516%16 Sept →
inferno13–8-0.0319%16 Sept →
anubis13–70.0522%13 Sept →
inferno15–15-0.027%13 Sept →
anubis13–6-0.0028%13 Sept →
office8–130.0927%12 Sept →
overpass1–13-0.0522%12 Sept →
anubis6–13-0.0312%12 Sept →
nuke13–90.0117%12 Sept →
ancient13–20.0415%12 Sept →
train12–12-0.0615%12 Sept →
dust24–13-0.047%11 Sept →
anubis7–130.0130%10 Sept →
inferno7–13-0.0721%10 Sept →
inferno5–130.025%10 Sept →
nuke13–70.0218%10 Sept →
inferno13–110.0020%9 Sept →
dust27–13-0.0723%5 Sept →
inferno7–13-0.0422%5 Sept →
anubis9–13-0.0435%5 Sept →
dust211–13-0.0224%5 Sept →
ancient5–13-0.0629%5 Sept →
nuke13–110.0125%3 Sept →
dust24–13-0.0718%3 Sept →
anubis6–13-0.0117%3 Sept →
nuke13–110.0322%3 Sept →
inferno13–5-0.0418%3 Sept →

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 →

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