Heinoz

Heinoz — CS2 Stats

NO76561198010225223[U:1:49959495]Steam profile ↗✓ No bans

1,624Tracked matches37%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
FaceitLevel 8 · 1,608 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,608 → 1,608
+26Tracked matches · now 1,624
0.0ppWin rate · 36.7% → 36.7%

Rating over time

1,608Highest Faceit ELO seen on CSDB
79Days played since 2025-02-07

Faceit ELO

  • At peak — 1,608
  • Next: Level 9 at 1,751 — 143 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-15
  • Level 7 first seen 2026-09-15

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGHeinozFACEITLevel 8 · 1,608 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,608csdb.gg/stats

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Performance scores

Aim61
Positioning50
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY42–58Last 10042%Win rateLLWLLWLLWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +4.2pp headshot accuracy · −156ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 597ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 540ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 618ms

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 (+1.4 against its own average).

Aim6.1
Utility5.0
Positioning5.0
Opening Duels0.9
Clutch3.4

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.

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

iM

Plays most like iM 83% 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

T-side openings. Opening success drops from 42% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim6.1
Positioning5.0
Utility5.0
Mechanics6.3
Opening Duels1.5
Win Impact0.6

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time602ms−54ms
first ⅓ avg 656ms → last ⅓ avg 602ms
Headshot accuracy17.0%−1.1%
first ⅓ avg 18.0% → last ⅓ avg 17.0%

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

0.10Best match rating · 13–3 · nuke, 13 Jun →
40%Best headshot accuracy · 8–13 · mirage, 20 Apr →
414msFastest reaction time · 1–13 · inferno, 20 Apr →
13–2Biggest win · anubis, 7 Feb →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
11–14In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 55% over 11dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoD196–1332%-0.02
mirageB199–1047%-0.02
dust2D175–1229%-0.02
anubisB126–650%-0.03
cacheA116–555%-0.04
ancientC73–443%-0.03
overpassC73–443%-0.02
train—42–250%-0.01
nuke—21–150%0.03
office—10–10%-0.11
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,321Matches
50%Win rate
0.81Avg K/D
65.9ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage27548%0.7812.0
Dust219246%0.7812.4
Inferno13659%0.8713.2
Anubis11353%0.8012.4
Ancient9652%0.8512.3
Cache4154%0.7511.5
Overpass2948%0.8413.3
Train2945%0.7713.4

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.

16.5%Headshot accuracy
34.3%Accuracy (enemy spotted)
31.9%Spray accuracy
78.5%Counter-strafing
9.9°Preaim
604msReaction time
20.0%T opening success
42.1%CT opening success
0.61Enemies flashed / flash
2.7%Flash assists
10.86HE damage / grenade
5.46Flashes / 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 20.0047% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache3–11-0.0325%30 Oct →
ancient7–13-0.0418%27 Oct →
cache13–11-0.0911%20 Oct →
anubis14–16-0.0416%19 Oct →
inferno10–13-0.0532%19 Oct →
dust213–40.0121%19 Oct →
mirage8–13-0.0418%13 Sept →
cache11–13-0.0520%10 Sept →
ancient13–9-0.0525%9 Sept →
inferno13–11-0.0314%9 Sept →
cache13–10-0.068%23 Aug →
dust211–13-0.0213%2 Aug →
mirage11–13-0.0311%31 Jul →
cache13–110.0413%31 Jul →
anubis7–13-0.0410%27 Jul →
dust213–6-0.0231%27 Jul →
inferno13–11-0.0517%20 Jul →
cache13–110.0015%20 Jul →
dust28–13-0.0422%16 Jul →
cache13–7-0.0618%16 Jul →
mirage6–13-0.069%3 Jul →
overpass6–13-0.0510%16 Jun →
cache9–13-0.0723%13 Jun →
nuke13–30.1038%13 Jun →
dust212–16-0.0013%12 Jun →
mirage5–13-0.0915%12 Jun →
cache7–13-0.0417%12 May →
inferno10–13-0.056%9 May →
nuke10–13-0.046%9 May →
mirage6–13-0.0517%8 May →
cache13–8-0.059%3 May →
inferno7–13-0.0435%21 Apr →
inferno1–13-0.065%20 Apr →
mirage8–13-0.0540%20 Apr →
overpass16–14-0.0316%19 Apr →
anubis17–19-0.0518%3 Apr →
mirage13–30.0822%3 Apr →
anubis13–60.0314%31 Mar →
mirage13–9-0.0319%31 Mar →
inferno11–130.0021%26 Mar →
anubis13–6-0.0511%24 Mar →
anubis13–11-0.0213%21 Mar →
mirage13–60.0315%20 Mar →
dust24–13-0.087%20 Mar →
inferno11–130.0113%17 Mar →
ancient13–7-0.0417%15 Mar →
overpass9–13-0.0315%14 Mar →
mirage13–6-0.0019%10 Mar →
inferno21–25-0.0220%1 Mar →
dust213–80.0115%27 Feb →
anubis13–10-0.053%24 Feb →
mirage13–9-0.0519%8 Feb →
dust211–13-0.0111%8 Feb →
overpass13–70.0515%31 Jan →
dust219–160.0114%27 Jan →
mirage13–9-0.0216%26 Jan →
mirage9–13-0.0521%22 Jan →
inferno7–13-0.0116%15 Jan →
dust222–250.0417%13 Jan →
anubis7–13-0.0318%11 Jan →
mirage13–11-0.048%11 Jan →
inferno10–13-0.0418%8 Jan →
inferno10–13-0.0225%6 Dec →
inferno13–10-0.0114%22 Sept →
overpass3–130.0119%26 Aug →
train19–17-0.0021%21 Aug →
dust25–13-0.0116%15 Aug →
train7–130.0124%11 Aug →
inferno13–50.0019%5 Aug →
inferno13–10-0.0420%3 Aug →
mirage5–4-0.040%3 Aug →
ancient10–130.0113%27 Jul →
overpass6–13-0.0425%27 Jul →
overpass13–6-0.0117%23 Jul →
inferno11–130.0415%7 Jul →
mirage11–13-0.037%30 Jun →
dust27–13-0.0114%26 Jun →
inferno20–22-0.0413%23 Jun →
inferno6–13-0.0633%17 Jun →
ancient13–160.0119%8 Jun →
dust213–160.0216%8 Jun →
anubis6–13-0.0217%8 Jun →
dust211–13-0.0629%3 Jun →
inferno13–110.0123%2 Jun →
dust28–13-0.0620%24 May →
train13–6-0.0014%10 May →
mirage6–130.0028%3 May →
dust213–16-0.0611%25 Apr →
dust213–9-0.0027%21 Apr →
mirage7–13-0.0224%6 Apr →
ancient13–5-0.0117%4 Apr →
office6–13-0.1124%2 Apr →
vertigo5–00.0525%2 Apr →
cache4–13-0.0818%6 Mar →
ancient8–13-0.047%1 Mar →
anubis11–13-0.0212%13 Feb →
train11–13-0.036%12 Feb →
anubis13–3-0.0119%10 Feb →
mirage13–90.0121%9 Feb →
anubis13–2-0.0718%7 Feb →

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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