d0hk

d0hk — CS2 Stats

EE76561198872144459[U:1:911878731]Steam profile ↗✓ No bans

791Tracked matches48%Win rate2020Tracked since
2,392Hours in CS1Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
FaceitLevel 10 · 2,565 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 10 median
Headshot rate41.3%50.9%
Shot accuracy19.2%13.7%
Kill/death ratio1.221.09
Match win rate49.9%48.4%

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CSDB.GGd0hkFACEITLevel 10 · 2,565 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning65
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWLTWWWWWL

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · +6ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 642ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 657ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 654ms

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 (+1.7 against its own average).

Aim7.5
Utility4.0
Positioning6.5
Opening Duels5.2
Clutch3.6

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

jL

Plays most like jL 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 628ms 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

Aim7.5
Positioning6.5
Utility4.0
Mechanics7.3
Opening Duels4.5
Win Impact4.4

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time627ms+43ms
first ⅓ avg 585ms → last ⅓ avg 627ms
Headshot accuracy19.8%+0.9%
first ⅓ avg 18.9% → last ⅓ avg 19.8%

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

0.47Best match rating · 9–1 · inferno, 16 Aug →
38%Best headshot accuracy · 13–6 · inferno, 21 Sept →
438msFastest reaction time · 13–6 · inferno, 21 Sept →
13–1Biggest win · train, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–12In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 80% over 5nukeWeakest map · 26% over 23
MapGradePlayedRecordWin rateAvg rating
mirageB2413–1154%0.03
nukeD236–1726%-0.01
infernoS1812–667%0.05
dust2A159–660%0.02
ancientA95–456%0.01
trainS54–180%0.05
cache—30–30%0.01
vertigo—20–20%-0.01
agency—10–10%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (26% over 23). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,593Lifetime kills
1.22K/D · Top 25% of Level 10 players
3,287Matches
49.9%Match win rate · Top 50% of Level 10 players
41.3%Headshot %
19.2%Shot accuracy · Top 10% of Level 10 players
15,517MVPs
1,838Hours (in match)
4,155Bombs planted
2,130Bombs defused

Most-used weapons

AK-4732,872
AWP16,633
MP91,911
P2501,678
Knife1,348

Lifetime map wins

7,174inferno
3,361dust2
1,908nuke
1,155train
416vertigo
286office
87cbble
19bank

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

Faceit stats

Combat

789Matches
56%Win rate
1.25Avg K/D
87.3ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage12659%1.3819.7
Inferno8659%1.1917.4
Nuke7353%1.2017.8
Dust24650%1.3017.3
Ancient2552%1.0015.4
Train2454%1.1417.0
Overpass333%0.7412.3
Anubis10%1.0015.0

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.

20.5%Headshot accuracy
35.8%Accuracy (enemy spotted)
38.4%Spray accuracy
82.7%Counter-strafing
9.4°Preaim
628msReaction time
51.0%T opening success
45.0%CT opening success
0.42Enemies flashed / flash
9.5%Flash assists
7.34HE damage / grenade
5.31Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4169 — below the 0.5 mark we flag

    Grenade Lineups →
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.

26% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–130.0320%16 Jul →
mirage13–60.0123%26 Jun →
cache10–13-0.0516%6 Jun →
cache12–120.0415%1 May →
nuke13–10-0.0025%21 Apr →
inferno16–140.0120%3 Apr →
nuke13–50.0222%3 Apr →
mirage13–40.0719%3 Apr →
dust213–80.0022%21 Mar →
mirage10–130.0133%21 Mar →
inferno11–130.0628%21 Mar →
mirage13–80.0825%21 Mar →
agency10–130.0118%4 Jan →
vertigo7–130.0627%4 Jan →
nuke1–13-0.0829%2 Jan →
inferno13–70.1119%2 Jan →
dust27–13-0.0118%29 Dec →
ancient2–13-0.0115%29 Dec →
mirage1–130.0711%29 Dec →
nuke8–13-0.0612%23 Dec →
nuke13–11-0.0217%11 Dec →
dust216–140.0119%5 Dec →
mirage13–50.0210%25 Nov →
inferno13–50.0835%22 Nov →
dust213–110.1422%14 Nov →
nuke2–13-0.0515%12 Nov →
dust213–9-0.0329%12 Nov →
nuke10–13-0.0618%8 Nov →
dust25–130.0218%5 Nov →
ancient8–130.0313%1 Nov →
nuke13–10-0.049%26 Oct →
nuke0–7-0.0713%23 Oct →
dust22–13-0.0319%22 Oct →
inferno13–110.0313%20 Oct →
inferno5–13-0.0030%19 Oct →
mirage16–140.0516%17 Oct →
inferno22–200.0820%17 Oct →
mirage12–120.0228%16 Oct →
mirage10–130.0414%15 Oct →
train13–10.0610%7 Oct →
nuke5–13-0.0513%6 Oct →
nuke6–13-0.0419%6 Oct →
inferno10–13-0.0323%5 Oct →
mirage13–70.0319%5 Oct →
inferno13–80.0220%28 Sept →
nuke11–130.0314%24 Sept →
inferno13–60.0438%21 Sept →
train13–80.0113%21 Sept →
inferno13–70.0927%21 Sept →
nuke11–130.0619%24 Aug →
mirage13–100.0319%24 Aug →
nuke8–13-0.1121%23 Aug →
ancient4–13-0.0020%23 Aug →
mirage13–10-0.0023%21 Aug →
dust27–13-0.0225%20 Aug →
inferno11–130.0023%19 Aug →
nuke10–130.0323%17 Aug →
ancient13–100.0718%16 Aug →
train13–30.0622%16 Aug →
inferno9–10.4716%16 Aug →
inferno10–13-0.0516%12 Aug →
mirage13–20.0922%12 Aug →
train14–160.1017%11 Aug →
dust213–90.0636%10 Aug →
nuke14–160.0312%7 Aug →
inferno13–70.0120%4 Aug →
nuke11–13-0.0323%4 Aug →
nuke16–130.0318%1 Aug →
ancient13–9-0.0317%1 Aug →
mirage15–150.0317%1 Aug →
train13–90.0117%1 Aug →
mirage13–120.1525%29 Jul →
inferno13–70.0327%27 Jul →
ancient13–11-0.029%27 Jul →
mirage9–130.0330%30 Jun →
mirage4–13-0.0126%29 Jun →
nuke16–130.1019%28 Jun →
inferno13–80.0514%28 Jun →
nuke14–160.0929%19 Jun →
nuke10–13-0.016%17 Jun →
ancient13–40.1014%15 Jun →
mirage5–13-0.0528%15 Jun →
mirage11–130.0117%7 Jun →
nuke11–13-0.0213%5 Jun →
mirage13–50.0723%5 Jun →
mirage13–90.0015%5 Jun →
dust210–130.0020%30 May →
dust213–50.0219%16 May →
nuke11–13-0.0533%16 May →
mirage13–100.0516%10 May →
ancient13–11-0.008%9 May →
mirage16–19-0.0517%5 May →
ancient6–13-0.0618%25 Apr →
inferno10–13-0.0321%25 Apr →
dust211–130.0111%2 Apr →
dust213–80.1328%26 Mar →
dust213–80.0117%24 Mar →
vertigo2–13-0.0821%13 Mar →
dust213–20.0119%13 Mar →
mirage6–13-0.0516%12 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K 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.