hohlik

hohlik — CS2 Stats

OM76561198401371672[U:1:441105944]Steam profile ↗✓ No bans

894Tracked matches40%Win rate2020Tracked since
2,800Hours in CS38Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
FaceitLevel 9 · 2,372 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,372 → 2,372
+48Tracked matches · now 894
+3.3ppWin rate · 36.7% → 40.0%

Rating over time

Premier CS Rating: 24,604 +2,032 12 Nov – 9 Apr · 16 days played
21,08424,604peak 24,60412 Nov9 Apr
Faceit ELO: 2,372 +0 1 Sept – 19 Oct · 7 observations
2,3722,372peak 2,3721 Sept19 Oct
24,654Peak Premier in tracked matches
2,372Highest Faceit ELO seen on CSDB
78Days played since 2025-03-31

Faceit ELO

  • At peak — 2,372
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 128 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches4550−5
Win rate53%44%+9pp
K/D1.300.96+0.34
Headshot %50%49%+1pp

Measured 19 Oct 2026 → 14 Nov 2026; previous 14 Sep 2026 → 19 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate48.2%48.2%50.9%2.8% short
Shot accuracy8.6%13.2%13.7%5.1% short
Kill/death ratio1.031.071.090.06 short
Match win rate47.3%46.9%48.4%1.1% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGhohlikFACEITLevel 9 · 2,372 ELOSTANDINGTop 20.7% of ranked30 DAYS0 ELOPEAK ELO2,372csdb.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

Aim82
Positioning74
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY38–61–1Last 10038%Win rateWLWWLLLWWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · −5.4pp headshot accuracy · −98ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 441ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 488ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 537ms

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 Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim8.2
Utility6.3
Positioning7.4
Opening Duels5.5
Clutch2.8

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

m0NESY

Plays most like m0NESY 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.2
Positioning7.4
Utility6.3
Mechanics6.4
Opening Duels6.2
Win Impact1.7

Composite 6.6/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time555ms−28ms
first ⅓ avg 582ms → last ⅓ avg 555ms
Headshot accuracy20.9%−3.6%
first ⅓ avg 24.6% → last ⅓ avg 20.9%

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

0.19Best match rating · 9–13 · mirage, 17 Nov →
41%Best headshot accuracy · 9–13 · mirage, 10 Nov →
359msFastest reaction time · 16–14 · anubis, 1 Nov →
13–2Biggest win · cache, 16 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 47% over 15infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%0.03
ancientD164–1225%0.02
nukeD165–1131%0.03
anubisB157–847%0.02
dust2D124–833%0.00
infernoD51–420%0.03
overpass—41–325%-0.00
train—44–0100%0.01
cache—32–167%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,678Lifetime kills
1.03K/D
3,204Matches
47.3%Match win rate · Top 50% of Level 9 players
48.2%Headshot %
8.6%Shot accuracy
10,054MVPs
1,769Hours (in match)
2,016Bombs planted
645Bombs defused

Most-used weapons

AK-4723,860
AWP11,640
FAMAS1,826
SSG 081,659
Knife1,273

Lifetime map wins

4,377dust2
2,472inferno
1,827nuke
1,795vertigo
426train
312cbble
28lake
23office

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

Faceit stats

Combat

1,111Matches
51%Win rate
1.11Avg K/D
86.2ADR
47%Headshot %

Clutches & streaks

34%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage33855%1.1316.9
Dust218647%1.0315.9
Ancient15549%1.0717.2
Anubis14555%1.2218.2
Inferno9643%1.0817.0
Nuke8347%1.1917.6
Overpass2752%1.0615.7
Train1662%1.0616.9

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.

20.4%Headshot accuracy
36.8%Accuracy (enemy spotted)
38.0%Spray accuracy
78.9%Counter-strafing
8.1°Preaim
549msReaction time
55.5%T opening success
54.4%CT opening success
0.73Enemies flashed / flash
6.4%Flash assists
10.95HE damage / grenade
7.24Flashes / match

Recommended for you

Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–140.0821%1 Nov →
inferno11–130.0115%19 Oct →
dust213–11-0.0119%15 Oct →
mirage13–50.005%14 Oct →
anubis7–13-0.018%2 Oct →
mirage1–13-0.0828%30 Sept →
mirage4–13-0.0615%25 Sept →
anubis13–70.1019%22 Sept →
cache13–70.0024%19 Sept →
cache13–20.0013%16 Sept →
ancient11–130.0513%15 Sept →
ancient5–130.009%10 Sept →
anubis13–70.0124%10 Sept →
ancient2–130.0227%31 Aug →
mirage16–130.0113%13 Jul →
nuke11–130.0634%28 Jun →
mirage9–130.0131%28 Jun →
ancient7–13-0.0226%15 Jun →
mirage10–13-0.0020%15 Jun →
anubis12–160.0324%11 Jun →
anubis14–16-0.0114%25 May →
dust25–130.0116%18 May →
cache6–130.0118%29 Apr →
nuke14–160.0032%21 Apr →
nuke13–80.0823%21 Apr →
mirage13–70.1628%19 Apr →
mirage9–130.0021%14 Apr →
ancient13–110.0621%9 Apr →
anubis5–9-0.0616%6 Apr →
anubis13–110.0428%6 Apr →
nuke1–6-0.0440%30 Mar →
dust24–13-0.0426%23 Mar →
anubis4–13-0.0021%4 Mar →
mirage4–130.0330%2 Mar →
nuke16–140.0622%2 Mar →
mirage13–4-0.0139%1 Mar →
mirage3–13-0.027%26 Feb →
inferno0–13-0.0615%23 Feb →
nuke7–13-0.0418%23 Feb →
anubis9–13-0.0310%19 Feb →
nuke13–50.0628%19 Feb →
ancient9–13-0.0322%8 Feb →
nuke1–130.0015%6 Feb →
anubis2–13-0.0638%5 Feb →
anubis13–11-0.0220%5 Feb →
ancient3–13-0.0527%5 Feb →
dust26–130.0422%4 Feb →
overpass4–13-0.0224%4 Feb →
anubis13–110.1520%4 Feb →
mirage13–160.0126%4 Feb →
ancient13–110.1115%4 Feb →
dust23–130.0131%3 Feb →
mirage13–90.0815%3 Feb →
nuke10–130.1224%2 Feb →
nuke5–13-0.0938%28 Jan →
anubis8–13-0.0329%27 Jan →
anubis13–70.0928%18 Jan →
nuke9–130.0131%14 Jan →
train19–16-0.0023%13 Jan →
mirage13–50.0224%11 Jan →
dust216–140.0120%17 Dec →
dust213–110.0520%12 Dec →
nuke8–130.1426%10 Dec →
mirage5–130.0315%4 Dec →
mirage3–130.0123%1 Dec →
ancient4–130.0118%30 Nov →
ancient9–130.0726%27 Nov →
nuke3–13-0.0517%27 Nov →
overpass9–130.0121%23 Nov →
inferno2–130.1217%20 Nov →
mirage9–130.1923%17 Nov →
mirage15–150.1524%17 Nov →
mirage7–130.0624%16 Nov →
overpass11–130.0821%16 Nov →
nuke10–130.0735%13 Nov →
train13–110.0123%12 Nov →
overpass13–7-0.0733%12 Nov →
mirage9–130.1641%10 Nov →
ancient12–160.0125%5 Nov →
ancient13–100.0927%23 Oct →
mirage8–13-0.0112%18 Oct →
train13–90.0033%26 Sept →
mirage16–130.0422%23 Sept →
dust213–8-0.0120%5 Sept →
train13–100.0228%1 Sept →
inferno13–160.0128%29 Aug →
nuke13–9-0.0127%22 Aug →
ancient19–150.0115%22 Aug →
ancient9–13-0.0230%15 Aug →
nuke13–60.0428%29 Jul →
inferno13–80.0829%29 Jul →
dust26–13-0.0723%10 Jul →
dust211–13-0.0021%1 Jul →
mirage13–30.0711%30 Jun →
mirage13–9-0.0036%29 May →
ancient7–130.0116%29 May →
mirage13–9-0.0223%21 May →
ancient8–13-0.0723%16 May →
dust211–130.0025%18 Apr →
dust211–130.0332%31 Mar →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.