hujbnn

hujbnn — CS2 Stats

AW76561198187752503[U:1:227486775]Steam profile ↗✓ No bans

331Tracked matches33%Win rate2023Tracked since
CSDB Rating1.8 LearningPositional Player
Premier CS Rating9,588Light Blue band · top ~56.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 331 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 1 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,588 -5,826 1 Jan12 Sept · 32 days played
9,58817,069peak 17,0691 Jan12 Sept
17,069Peak Premier in tracked matches
993Highest Faceit ELO seen on CSDB
42Days played since 2026-01-01

Faceit ELO

  • At peak — 993
  • Next: Level 5 at 1,051 58 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-12
  • Level 3 first seen 2026-09-12

Premier CS Rating

  • 7,481 below peak (17,069)
  • Next: Blue band at 10,000 412 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Light Blue band first seen 2026-09-12

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.GGhujbnnPREMIER9,588 · Light Blue bandPEAK ELO993csdb.gg/stats

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Performance scores

Aim22
Positioning37
Utility17

0–100 skill scores via Leetify.

Recent form

COLD42562Last 10042%Win rateWLLLLLLWWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −0.2pp headshot accuracy · −104ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 560ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 541ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 593ms

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 PlayerPositioning stands above the rest of this profile (+2.2 against its own average).

Aim2.2
Utility1.7
Positioning3.7
Opening Duels0.6
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

jL

Plays most like jL 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim2.2
Positioning3.7
Utility1.7
Mechanics2.4
Opening Duels0.0
Win Impact0.0

Composite 1.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time604ms+31ms
first ⅓ avg 573ms → last ⅓ avg 604ms
Headshot accuracy9.8%−0.1%
first ⅓ avg 10.0% → last ⅓ avg 9.8%

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 · 13–6 · nuke, 3 Apr
21%Best headshot accuracy · 10–13 · mirage, 3 Mar
445msFastest reaction time · 13–6 · nuke, 1 May
13–2Biggest win · ancient, 3 Mar

Across the last 100 tracked matches.

Highlights

5Longest win streak
87In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 80% over 5mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
ancientD2581732%-0.03
nukeB21101148%-0.02
infernoB1910953%-0.01
dust2C114736%-0.01
mirageD103730%-0.03
overpassD93633%-0.04
anubisS54180%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
0%Win rate
0.61Avg K/D
57.3ADR
35%Headshot %

Clutches & streaks

20%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.204.0
Inferno10%0.6517.0
Overpass10%0.8612.0
Mirage10%0.7414.0

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.

9.3%Headshot accuracy
30.1%Accuracy (enemy spotted)
29.7%Spray accuracy
60.6%Counter-strafing
12.5°Preaim
600msReaction time
26.9%T opening success
27.0%CT opening success
0.22Enemies flashed / flash
3.4%Flash assists
5.86HE damage / grenade
1.84Flashes / 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 12.5322° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.2776% — below the 15% mark we flag

    Aim Training
  3. 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 0.2164 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.019%5 Jul
ancient11–13-0.028%19 Jun
mirage9–13-0.033%19 Jun
ancient7–13-0.0110%17 Jun
inferno6–13-0.048%17 Jun
nuke11–130.009%17 Jun
ancient11–13-0.0511%17 Jun
nuke13–60.0110%1 May
inferno13–60.028%1 May
overpass6–13-0.056%30 Apr
mirage13–50.0720%29 Apr
ancient5–13-0.0911%29 Apr
ancient13–7-0.019%28 Apr
ancient10–13-0.015%27 Apr
anubis13–8-0.0311%27 Apr
inferno3–13-0.035%27 Apr
nuke13–11-0.0310%20 Apr
ancient8–13-0.074%20 Apr
nuke13–11-0.025%18 Apr
nuke11–13-0.042%9 Apr
ancient5–130.029%9 Apr
anubis13–9-0.009%9 Apr
ancient5–13-0.0814%9 Apr
mirage13–80.0117%9 Apr
ancient4–130.0115%9 Apr
ancient9–13-0.0810%7 Apr
nuke2–13-0.075%7 Apr
nuke9–13-0.026%5 Apr
nuke6–13-0.0117%5 Apr
dust23–13-0.0518%5 Apr
nuke13–60.1111%3 Apr
ancient9–13-0.1110%27 Mar
inferno15–15-0.1019%27 Mar
inferno15–15-0.0614%25 Mar
nuke13–7-0.0210%24 Mar
anubis9–130.037%24 Mar
dust29–13-0.038%20 Mar
nuke13–100.0512%20 Mar
inferno13–70.0119%20 Mar
inferno8–130.0510%20 Mar
inferno13–70.0312%17 Mar
overpass8–13-0.038%17 Mar
dust213–5-0.0211%16 Mar
inferno13–100.0112%14 Mar
ancient11–13-0.064%14 Mar
dust212–160.0117%14 Mar
anubis13–8-0.027%14 Mar
mirage7–13-0.086%14 Mar
dust213–110.0217%13 Mar
nuke13–7-0.045%10 Mar
anubis13–6-0.0116%10 Mar
overpass2–13-0.048%10 Mar
nuke9–13-0.078%10 Mar
inferno13–30.015%3 Mar
ancient13–20.069%3 Mar
mirage10–13-0.0321%3 Mar
inferno11–13-0.0113%3 Mar
nuke7–13-0.0613%3 Mar
inferno13–110.0117%24 Feb
nuke9–13-0.035%24 Feb
overpass13–110.0410%24 Feb
mirage2–13-0.100%19 Feb
inferno13–80.0615%19 Feb
overpass16–14-0.0512%15 Feb
ancient9–13-0.0620%10 Feb
nuke9–13-0.0213%9 Feb
dust213–110.0216%9 Feb
nuke13–8-0.0210%7 Feb
ancient10–13-0.0114%1 Feb
mirage3–130.026%1 Feb
overpass9–13-0.096%29 Jan
ancient13–100.0213%29 Jan
inferno4–13-0.097%29 Jan
ancient7–13-0.088%29 Jan
mirage1–6-0.0815%29 Jan
mirage9–13-0.0812%22 Jan
mirage13–20.017%22 Jan
nuke13–100.039%22 Jan
ancient9–13-0.057%18 Jan
dust29–13-0.0410%18 Jan
overpass7–13-0.058%18 Jan
nuke11–13-0.048%18 Jan
ancient13–60.0316%17 Jan
overpass3–13-0.066%17 Jan
inferno13–80.0313%16 Jan
dust23–13-0.0712%16 Jan
ancient13–4-0.026%16 Jan
dust28–130.0316%13 Jan
dust28–130.0113%13 Jan
inferno4–13-0.0917%12 Jan
inferno13–110.0111%9 Jan
dust213–40.0113%9 Jan
ancient13–8-0.0312%5 Jan
inferno13–90.036%2 Jan
ancient13–4-0.0110%2 Jan
inferno1–13-0.108%2 Jan
nuke4–13-0.0111%2 Jan
overpass13–8-0.065%1 Jan
ancient4–13-0.054%1 Jan
nuke16–12-0.038%1 Jan

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →