H3inz

H3inz — CS2 Stats

76561197960480282[U:1:214554]Steam profile ↗✓ No bans

2,158Tracked matches53%Win rate2020Tracked since
7,723Hours in CS22Hrs last 2 wks
CSDB Rating6.8 SolidClutch Specialist
Premier CS Rating17,955Purple band · top ~16.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (2 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: 17,955 -2,244 28 Aug – 28 Oct · 18 days played
15,79821,309peak 21,30928 Aug28 Oct
21,859Peak Premier in tracked matches
18Days played since 2026-08-28

Premier CS Rating

  • 3,354 below peak (21,309)
  • -195 over 30 days · steady
  • Next: Pink band at 20,000 — 2,045 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-19
  • Blue band first seen 2026-10-19

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate47.8%42.7%43.8%above
Shot accuracy12.8%11.2%12.0%above
Kill/death ratio0.970.991.020.04 short
Match win rate43.1%43.9%44.7%1.7% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGH3inzFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,955 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim61
Positioning79
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateWWLLLLWWWL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +2.6pp headshot accuracy · −95ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 542ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 541ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 589ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.4 against its own average).

Aim6.1
Utility6.6
Positioning7.9
Opening Duels5.8
Clutch10.0

Strong CT-side openerReliable in 1v1s

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 70% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 577ms 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
Positioning7.9
Utility6.6
Mechanics6.2
Opening Duels9.0
Win Impact6.1

Composite 6.8/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time575ms+4ms
first ⅓ avg 570ms → last ⅓ avg 575ms
Headshot accuracy19.6%−0.8%
first ⅓ avg 20.4% → last ⅓ avg 19.6%

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

0.13Best match rating · 13–3 · inferno, 28 Oct →
50%Best headshot accuracy · 9–2 · debris, 27 Oct →
398msFastest reaction time · 6–1 · cache, 19 Oct →
13–1Biggest win · cache, 27 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
7–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 75% over 16nukeWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C249–1538%0.00
infernoD237–1630%-0.02
cacheS1612–475%0.03
mirageC125–742%0.00
ancientS107–370%0.01
nukeD101–910%-0.01
anubis—41–325%-0.02
debris—11–0100%0.05

Across the last 100 tracked matches.

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

Lifetime stats

203,527Lifetime kills
0.97K/D
9,722Matches
43.1%Match win rate
47.8%Headshot % · Top 50% of Level 4 players
12.8%Shot accuracy · Top 50% of Level 4 players
26,403MVPs
4,685Hours (in match)
14,356Bombs planted
3,262Bombs defused

Most-used weapons

AK-4760,071
AWP32,869
P2509,038
Tec-93,640
FAMAS3,351
MAC-103,297

Lifetime map wins

23,295dust2
17,730inferno
8,558nuke
6,877train
4,149cbble
2,193vertigo
689office
261dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

489Matches
50%Win rate
1.10Avg K/D
105.3ADR
48%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient475%1.2218.3
Mirage333%1.1617.3
Vertigo20%0.8813.0
Inferno250%0.7010.0
Anubis1100%0.7213.0

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.

18.6%Headshot accuracy
31.0%Accuracy (enemy spotted)
30.6%Spray accuracy
78.0%Counter-strafing
9.4°Preaim
577msReaction time
71.1%T opening success
62.4%CT opening success
0.56Enemies flashed / flash
7.3%Flash assists
8.93HE damage / grenade
12.02Flashes / match

Recommended for you

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.

10% 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
ancient13–80.0125%28 Oct →
inferno13–30.1322%28 Oct →
cache11–130.0216%28 Oct →
nuke7–13-0.0310%28 Oct →
dust22–13-0.036%28 Oct →
anubis9–13-0.0221%27 Oct →
inferno13–10-0.0121%27 Oct →
dust213–80.0916%27 Oct →
debris9–20.0550%27 Oct →
anubis8–13-0.0510%27 Oct →
cache13–3-0.0422%27 Oct →
dust213–90.0321%23 Oct →
mirage13–7-0.016%23 Oct →
cache13–11-0.0020%23 Oct →
inferno13–60.054%23 Oct →
dust213–70.0324%23 Oct →
dust29–13-0.0921%21 Oct →
dust213–40.0110%21 Oct →
cache13–70.0822%21 Oct →
mirage9–13-0.0420%21 Oct →
cache8–130.0633%21 Oct →
inferno10–130.0119%21 Oct →
dust210–130.0025%21 Oct →
inferno13–10-0.0117%19 Oct →
nuke13–160.0221%19 Oct →
cache6–1-0.0217%19 Oct →
ancient16–120.0115%19 Oct →
inferno10–13-0.0025%19 Oct →
cache13–60.0821%19 Oct →
cache11–13-0.0215%14 Oct →
mirage7–13-0.0524%14 Oct →
ancient13–2-0.0816%14 Oct →
dust214–16-0.0730%14 Oct →
ancient3–130.0124%14 Oct →
mirage13–6-0.0124%14 Oct →
ancient13–80.0115%14 Oct →
mirage5–13-0.0427%12 Oct →
cache13–20.0813%12 Oct →
nuke13–110.0025%12 Oct →
inferno10–13-0.0420%12 Oct →
dust214–160.0324%12 Oct →
inferno8–13-0.0221%12 Oct →
inferno13–16-0.0213%11 Oct →
mirage13–7-0.0316%11 Oct →
mirage9–130.0120%11 Oct →
anubis8–13-0.0221%11 Oct →
mirage7–130.0636%11 Oct →
dust24–130.0125%11 Oct →
cache13–110.0119%30 Sept →
inferno13–9-0.0218%30 Sept →
dust210–13-0.0422%30 Sept →
mirage13–80.0319%27 Sept →
inferno13–110.0120%27 Sept →
nuke11–13-0.0613%27 Sept →
cache13–10.1115%27 Sept →
cache9–13-0.0124%27 Sept →
inferno9–130.0324%27 Sept →
nuke7–13-0.0219%27 Sept →
ancient7–130.0317%23 Sept →
inferno13–90.0227%23 Sept →
dust213–10.0625%23 Sept →
cache13–50.0313%23 Sept →
nuke5–13-0.0223%23 Sept →
dust211–13-0.0217%21 Sept →
inferno5–130.0323%21 Sept →
mirage3–13-0.0422%21 Sept →
nuke5–13-0.0329%21 Sept →
inferno3–13-0.130%21 Sept →
dust211–13-0.0319%21 Sept →
dust213–9-0.0311%16 Sept →
cache13–9-0.0016%16 Sept →
dust26–130.0525%16 Sept →
inferno10–13-0.0224%16 Sept →
dust28–130.0226%16 Sept →
dust27–130.0124%14 Sept →
inferno9–13-0.049%14 Sept →
mirage10–13-0.0021%14 Sept →
ancient6–13-0.0118%14 Sept →
dust213–100.0116%14 Sept →
inferno1–13-0.0629%11 Sept →
dust22–13-0.0527%11 Sept →
nuke13–160.0122%11 Sept →
inferno8–13-0.0518%11 Sept →
nuke6–130.0621%9 Sept →
ancient13–80.0016%9 Sept →
inferno15–15-0.0242%9 Sept →
ancient13–40.1119%9 Sept →
anubis13–11-0.0020%9 Sept →
dust24–13-0.0416%9 Sept →
cache13–70.0221%9 Sept →
inferno3–13-0.1311%7 Sept →
dust213–50.0426%7 Sept →
nuke10–13-0.0315%7 Sept →
mirage13–110.1119%7 Sept →
dust213–30.1034%7 Sept →
dust23–13-0.0930%28 Aug →
ancient13–110.0426%28 Aug →
cache13–90.0415%28 Aug →
inferno5–13-0.0322%28 Aug →
inferno4–13-0.0517%28 Aug →

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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