hemmo3

hemmo3 — CS2 Stats

FI76561198074628413[U:1:114362685]Steam profile ↗✓ No bans

2,268Tracked matches45%Win rate2020Tracked since
5,298Hours in CS8Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating14,291Blue band · top ~32.2% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). 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: 14,291 +1,078 13 Jul – 2 Nov · 36 days played
12,09315,486peak 15,48613 Jul2 Nov
15,740Peak Premier in tracked matches
39Days played since 2026-07-12

Premier CS Rating

  • 1,195 below peak (15,486)
  • -341 over 30 days · steady
  • -708 over 90 days
  • Next: Purple band at 15,000 — 709 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-08-29

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.3%42.0%44.4%8.1% short
Shot accuracy12.1%9.6%11.9%meets
Kill/death ratio0.900.981.030.13 short
Match win rate41.7%43.8%45.2%3.5% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGhemmo3PREMIER14,291 · Blue 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

Aim70
Positioning52
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWTLWLWLLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +3.4pp headshot accuracy · +9ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 585ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 565ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 561ms

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 (+1.9 against its own average).

Aim7.0
Utility6.5
Positioning5.2
Opening Duels2.8
Clutch4.0

Effective flashes

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 569ms 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

Aim7.0
Positioning5.2
Utility6.5
Mechanics7.6
Opening Duels4.1
Win Impact3.3

Composite 5.7/10 (Solid), 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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time566ms−50ms
first ⅓ avg 616ms → last ⅓ avg 566ms
Headshot accuracy16.5%−0.8%
first ⅓ avg 17.3% → last ⅓ avg 16.5%

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

0.15Best match rating · 9–6 · vertigo, 7 Sept →
36%Best headshot accuracy · 9–6 · vertigo, 7 Sept →
391msFastest reaction time · 2–9 · inferno, 7 Sept →
13–2Biggest win · mirage, 28 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 68% over 22ancientWeakest map · 47% over 19
MapGradePlayedRecordWin rateAvg rating
cacheS2215–768%0.01
ancientB199–1047%-0.02
infernoA1810–856%-0.01
mirageB168–850%0.00
nukeB158–753%-0.02
dust2—41–325%-0.02
anubis—31–233%-0.05
vertigo—21–150%0.06
train—11–0100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

116,990Lifetime kills
0.90K/D
7,052Matches
41.7%Match win rate
36.3%Headshot %
12.1%Shot accuracy · Top 50% of Blue band
13,037MVPs
2,825Hours (in match)
8,142Bombs planted
1,652Bombs defused

Most-used weapons

AK-4735,159
AWP15,348
P904,225
MAC-102,627
FAMAS2,326
UMP-452,276

Lifetime map wins

7,989dust2
7,521inferno
4,881nuke
3,405train
2,005vertigo
974cbble
148office
134lake

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

Faceit stats

Combat

740Matches
50%Win rate
0.99Avg K/D
75.4ADR
37%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11753%1.0114.5
Inferno9050%0.9313.0
Ancient7146%0.9614.6
Nuke6464%1.0414.4
Anubis5044%0.9813.5
Cache3241%0.9814.9
Dust21937%0.9717.8
Train862%1.0814.8

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.

15.5%Headshot accuracy
32.9%Accuracy (enemy spotted)
35.7%Spray accuracy
84.3%Counter-strafing
9.2°Preaim
569msReaction time
49.6%T opening success
43.1%CT opening success
0.77Enemies flashed / flash
2.3%Flash assists
8.26HE damage / grenade
16.36Flashes / match

Recommended for you

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.

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–100.0213%2 Nov →
mirage15–150.0121%2 Nov →
nuke10–13-0.0621%1 Nov →
ancient13–60.027%1 Nov →
nuke8–13-0.1012%1 Nov →
cache13–70.0222%1 Nov →
dust27–13-0.0117%1 Nov →
dust26–13-0.0319%14 Oct →
mirage3–13-0.0613%14 Oct →
inferno13–10-0.0115%13 Oct →
ancient13–100.0522%5 Oct →
cache8–13-0.0611%5 Oct →
mirage13–110.0215%4 Oct →
nuke13–7-0.0619%4 Oct →
nuke13–8-0.054%30 Sept →
anubis13–10-0.0312%30 Sept →
cache23–25-0.0210%28 Sept →
inferno12–16-0.059%27 Sept →
ancient3–13-0.0714%27 Sept →
anubis8–13-0.049%24 Sept →
nuke3–13-0.0713%24 Sept →
inferno13–50.0328%24 Sept →
mirage13–40.0425%23 Sept →
mirage9–13-0.0315%23 Sept →
mirage3–13-0.0433%20 Sept →
ancient1–13-0.1111%20 Sept →
cache13–11-0.0329%15 Sept →
nuke10–130.0312%10 Sept →
nuke10–13-0.0212%9 Sept →
cache13–90.0816%9 Sept →
cache5–13-0.0414%7 Sept →
inferno13–110.0317%7 Sept →
vertigo9–60.1536%7 Sept →
inferno2–9-0.0810%7 Sept →
cache8–130.0125%7 Sept →
ancient11–13-0.048%6 Sept →
cache13–40.079%6 Sept →
inferno9–130.0712%6 Sept →
dust213–90.0519%3 Sept →
inferno13–80.0124%3 Sept →
mirage15–150.0530%2 Sept →
nuke13–80.0325%1 Sept →
ancient11–130.049%1 Sept →
ancient13–3-0.0229%31 Aug →
inferno16–13-0.0314%29 Aug →
ancient11–13-0.057%29 Aug →
nuke9–13-0.0412%29 Aug →
ancient13–3-0.0525%27 Aug →
cache13–30.0315%27 Aug →
cache13–90.0411%25 Aug →
mirage13–9-0.0512%22 Aug →
vertigo10–13-0.0324%22 Aug →
ancient3–13-0.0313%22 Aug →
inferno5–13-0.0321%21 Aug →
ancient13–60.047%21 Aug →
ancient13–4-0.0113%21 Aug →
ancient9–13-0.0717%11 Aug →
inferno16–140.0212%11 Aug →
cache13–10-0.0120%10 Aug →
anubis1–13-0.084%10 Aug →
mirage10–13-0.0322%10 Aug →
nuke13–90.0718%9 Aug →
dust26–13-0.0731%9 Aug →
mirage12–20.0236%9 Aug →
mirage10–130.028%9 Aug →
inferno6–13-0.0516%9 Aug →
cache6–13-0.033%9 Aug →
inferno13–70.0217%5 Aug →
nuke13–11-0.0228%5 Aug →
inferno13–40.0024%5 Aug →
train13–6-0.0419%3 Aug →
cache3–13-0.0815%3 Aug →
mirage13–80.0420%30 Jul →
ancient6–13-0.0115%30 Jul →
nuke13–10-0.029%29 Jul →
ancient7–13-0.0111%28 Jul →
mirage10–130.0417%28 Jul →
inferno13–90.0028%28 Jul →
ancient13–10-0.049%28 Jul →
mirage13–20.0227%28 Jul →
cache13–8-0.0317%28 Jul →
cache13–50.0412%28 Jul →
mirage13–100.0221%28 Jul →
nuke13–60.0817%26 Jul →
nuke10–130.0418%26 Jul →
cache8–13-0.0421%26 Jul →
cache13–100.0411%20 Jul →
inferno11–13-0.0512%16 Jul →
ancient10–13-0.0527%16 Jul →
inferno10–13-0.0213%16 Jul →
inferno13–11-0.0018%13 Jul →
cache12–20.028%13 Jul →
cache13–90.0112%13 Jul →
ancient13–50.0311%13 Jul →
cache13–40.0822%13 Jul →
inferno8–130.0220%12 Jul →
ancient13–7-0.0418%12 Jul →
mirage13–9-0.0112%12 Jul →
cache13–11-0.0125%12 Jul →
nuke13–8-0.0717%12 Jul →

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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