Hajenz

Hajenz — CS2 Stats

SE76561198202540704[U:1:242274976]Steam profile ↗✓ No bans

707Tracked matches50%Win rate2021Tracked since
CSDB Rating5.0 DevelopingSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 707
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 17,927 +2,819 19 Feb – 24 May · 25 days played
13,77617,927peak 17,92719 Feb24 May
17,927Peak Premier in tracked matches
46Days played since 2026-01-30

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

Share this profile

CSDB.GGHajenzFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning36
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWLLLLWLLWW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −0.6pp headshot accuracy · −31ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 720ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 670ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 685ms

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 (+2.3 against its own average).

Aim6.4
Utility4.7
Positioning3.6
Opening Duels1.3
Clutch0.0

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

ZywOo

Plays most like ZywOo 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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. 690ms 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

Aim6.4
Positioning3.6
Utility4.7
Mechanics7.3
Opening Duels0.7
Win Impact5.0

Composite 5.0/10 (Developing), 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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time697ms+9ms
first ⅓ avg 688ms → last ⅓ avg 697ms
Headshot accuracy17.3%+0.2%
first ⅓ avg 17.1% → last ⅓ avg 17.3%

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

0.21Best match rating · 13–2 · overpass, 26 Mar →
33%Best headshot accuracy · 0–4 · inferno, 24 Aug →
469msFastest reaction time · 5–13 · nuke, 21 Feb →
13–1Biggest win · anubis, 26 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–10In matches decided by ≤2 rounds
19Overtime games

Map breakdown

overpassBest map · 90% over 10nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A1911–858%-0.01
ancientB1910–953%0.00
infernoB168–850%0.00
mirageC135–838%-0.00
overpassS109–190%0.03
nukeD103–730%0.01
anubisC94–544%0.02
cache—20–20%-0.02
vertigo—11–0100%-0.05
cache_b—11–0100%-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

27Matches
59%Win rate
0.85Avg K/D
95.0ADR
46%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.6913.7
Nuke2100%0.8613.0
Inferno250%1.3220.5
Ancient20%0.709.5
Anubis10%0.7911.0

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.

16.7%Headshot accuracy
35.1%Accuracy (enemy spotted)
39.8%Spray accuracy
82.9%Counter-strafing
9.5°Preaim
690msReaction time
31.2%T opening success
34.0%CT opening success
0.53Enemies flashed / flash
6.0%Flash assists
7.08HE damage / grenade
5.86Flashes / 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 31.1816% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–40.0717%30 Sept →
dust27–13-0.0016%29 Sept →
dust214–16-0.069%26 Sept →
ancient5–13-0.0623%7 Sept →
mirage7–13-0.099%29 Aug →
vertigo25–23-0.0518%29 Aug →
nuke6–13-0.0223%26 Aug →
cache14–16-0.0313%26 Aug →
inferno13–8-0.036%26 Aug →
ancient13–5-0.0314%24 Aug →
dust213–9-0.0219%24 Aug →
inferno0–40.0033%24 Aug →
dust24–130.0215%20 Aug →
cache11–13-0.0112%20 Aug →
ancient13–80.0216%24 May →
overpass13–8-0.0214%22 May →
ancient16–14-0.016%19 May →
inferno16–13-0.025%18 May →
ancient13–40.0216%18 May →
dust213–6-0.0119%9 May →
inferno7–13-0.0420%3 May →
dust213–7-0.0413%3 May →
ancient13–160.0222%28 Apr →
anubis8–130.0430%28 Apr →
dust216–12-0.0320%6 Apr →
nuke6–13-0.0515%5 Apr →
dust213–9-0.0615%5 Apr →
inferno9–13-0.0127%3 Apr →
overpass13–110.0319%3 Apr →
dust210–13-0.0033%3 Apr →
anubis3–13-0.0612%2 Apr →
ancient10–130.0319%2 Apr →
mirage4–13-0.0120%2 Apr →
mirage16–140.029%2 Apr →
ancient2–13-0.0524%28 Mar →
inferno5–60.0116%28 Mar →
ancient3–13-0.039%28 Mar →
dust215–150.0023%28 Mar →
overpass13–20.2119%26 Mar →
dust213–70.0719%26 Mar →
overpass7–13-0.0411%21 Mar →
inferno6–130.0230%21 Mar →
cache_b16–14-0.0121%21 Mar →
overpass13–70.1029%17 Mar →
nuke13–110.0120%16 Mar →
mirage13–70.0016%16 Mar →
dust216–13-0.0020%15 Mar →
ancient7–13-0.0320%14 Mar →
dust26–13-0.0115%14 Mar →
nuke13–10-0.0024%14 Mar →
ancient13–6-0.0010%14 Mar →
mirage11–130.0523%14 Mar →
ancient10–13-0.0324%13 Mar →
inferno13–110.0214%12 Mar →
anubis13–30.0616%12 Mar →
anubis13–40.0314%12 Mar →
nuke15–150.1027%11 Mar →
dust213–100.0426%1 Mar →
anubis13–10.1333%26 Feb →
overpass13–50.0028%26 Feb →
nuke11–13-0.0714%25 Feb →
mirage10–130.0118%25 Feb →
mirage10–130.0415%25 Feb →
inferno23–250.0116%25 Feb →
anubis4–13-0.0125%24 Feb →
ancient13–10-0.0112%24 Feb →
overpass13–20.0412%23 Feb →
mirage13–70.0313%23 Feb →
nuke10–130.1224%23 Feb →
dust212–16-0.0319%22 Feb →
anubis6–130.0022%21 Feb →
nuke8–13-0.0310%21 Feb →
anubis13–40.0319%21 Feb →
anubis11–130.0015%21 Feb →
nuke5–130.017%21 Feb →
ancient6–130.0111%20 Feb →
inferno14–160.0017%20 Feb →
ancient13–6-0.028%19 Feb →
mirage13–40.0417%19 Feb →
dust213–5-0.024%19 Feb →
inferno13–70.0531%19 Feb →
inferno13–60.0117%18 Feb →
mirage12–16-0.058%18 Feb →
ancient13–80.0020%18 Feb →
dust213–80.0117%18 Feb →
inferno13–7-0.0027%11 Feb →
ancient11–130.0619%11 Feb →
mirage5–13-0.0718%11 Feb →
dust210–130.0120%11 Feb →
ancient13–70.1715%10 Feb →
nuke13–50.0116%10 Feb →
mirage10–130.0417%10 Feb →
dust213–8-0.0215%5 Feb →
overpass22–20-0.1119%4 Feb →
inferno15–15-0.0318%4 Feb →
overpass13–60.0433%3 Feb →
ancient13–10-0.0217%3 Feb →
mirage13–7-0.0319%2 Feb →
inferno7–10.0714%2 Feb →
inferno16–140.0119%30 Jan →

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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