HellPeace

HellPeace — CS2 Stats

DK76561198057880688[U:1:97614960]Steam profile ↗✓ No bans

877Tracked matches31%Win rate2020Tracked since
1,814Hours in CS15Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating13,825Blue band · top ~34.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 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: 13,825 +633 9 Sept – 12 Nov · 16 days played
13,15814,864peak 14,8649 Sept12 Nov
14,864Peak Premier in tracked matches
36Days played since 2026-09-09

Premier CS Rating

  • 1,039 below peak (14,864)
  • +36 over 30 days · steady
  • Next: Purple band at 15,000 — 1,175 to go
  • Reached: Blue band · Light Blue band

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 rate45.2%42.0%44.4%meets
Shot accuracy15.3%9.6%11.9%above
Kill/death ratio1.080.981.03above
Match win rate42.7%43.8%45.2%2.6% short

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Match win 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.GGHellPeacePREMIER13,825 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning50
Utility17

0–100 skill scores via Leetify.

Recent form

COLD32–60–8Last 10032%Win rateWLLLTLWWTT

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −5.5pp headshot accuracy · −51ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 536ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 520ms

Last 20

  • 5–11–4 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 545ms

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 (+2.1 against its own average).

Aim6.5
Utility1.7
Positioning5.0
Opening Duels1.9

Limited utility dependence

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

donk

Plays most like donk 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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 →

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. 560ms 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

Aim6.5
Positioning5.0
Utility1.7
Mechanics6.5
Opening Duels3.0
Win Impact0.0

Composite 4.3/10 (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-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time581ms+13ms
first ⅓ avg 568ms → last ⅓ avg 581ms
Headshot accuracy20.0%−5.8%
first ⅓ avg 25.9% → last ⅓ avg 20.0%

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

0.14Best match rating · 11–3 · nuke, 21 Oct →
48%Best headshot accuracy · 9–13 · train, 23 Sept →
359msFastest reaction time · 12–12 · vertigo, 5 Nov →
13–1Biggest win · nuke, 9 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 57% over 7trainWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
cacheB2211–1150%0.01
nukeC197–1237%-0.01
infernoC135–838%-0.02
trainD90–90%-0.03
vertigoD70–70%-0.04
mirageD71–614%-0.04
overpassA74–357%-0.02
dust2D71–614%-0.04
ancient—21–150%-0.00
boulder—21–150%-0.03
anubis—20–20%-0.08
fachwerk—10–10%-0.02
shelter—11–0100%0.01
debris—10–10%-0.07

Across the last 100 tracked matches.

Lifetime stats

57,244Lifetime kills
1.08K/D · Top 50% of Blue band
3,103Matches
42.7%Match win rate
45.2%Headshot % · Top 50% of Blue band
15.3%Shot accuracy · Top 25% of Blue band
7,480MVPs
1,030Hours (in match)
2,536Bombs planted
445Bombs defused

Most-used weapons

AK-478,847
AWP5,788
SG 5532,720
UMP-452,398
AUG2,233
SSG 081,921
FAMAS1,838

Lifetime map wins

6,596dust2
3,376inferno
1,584nuke
1,249vertigo
1,048office
946train
425cbble
313lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.2%Headshot accuracy
28.2%Accuracy (enemy spotted)
32.5%Spray accuracy
79.2%Counter-strafing
8.6°Preaim
560msReaction time
41.6%T opening success
42.4%CT opening success
0.18Enemies flashed / flash
2.9%Flash assists
5.58HE damage / grenade
1.23Flashes / 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 0.1836 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Train

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

0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno16–14-0.0013%12 Nov →
ancient6–13-0.0422%12 Nov →
nuke10–13-0.0330%12 Nov →
inferno9–13-0.0318%12 Nov →
cache12–12-0.0124%12 Nov →
inferno8–13-0.0215%9 Nov →
nuke13–1-0.077%9 Nov →
cache13–80.1118%5 Nov →
vertigo12–12-0.0017%5 Nov →
nuke12–12-0.067%4 Nov →
train12–120.0121%4 Nov →
cache13–4-0.0814%4 Nov →
vertigo11–130.0023%4 Nov →
mirage3–13-0.0540%3 Nov →
nuke13–11-0.0332%2 Nov →
overpass4–130.0024%1 Nov →
fachwerk7–13-0.0210%1 Nov →
boulder1–13-0.0728%1 Nov →
train10–130.0122%1 Nov →
cache10–130.0012%1 Nov →
inferno2–13-0.120%28 Oct →
dust27–13-0.0915%28 Oct →
mirage13–30.0722%28 Oct →
dust22–13-0.1118%28 Oct →
cache3–13-0.0522%28 Oct →
cache13–100.0730%27 Oct →
nuke9–13-0.0528%27 Oct →
dust23–13-0.0514%26 Oct →
inferno13–30.0223%26 Oct →
mirage6–13-0.0526%24 Oct →
cache13–7-0.0613%24 Oct →
cache5–13-0.0124%24 Oct →
overpass13–5-0.0427%23 Oct →
boulder13–40.0216%22 Oct →
shelter13–30.0113%22 Oct →
mirage3–13-0.0432%21 Oct →
cache11–130.0125%21 Oct →
nuke11–30.1425%21 Oct →
train4–13-0.0519%20 Oct →
cache5–13-0.0328%20 Oct →
debris5–9-0.0722%20 Oct →
vertigo5–13-0.0218%18 Oct →
cache13–3-0.0132%18 Oct →
nuke10–13-0.0333%18 Oct →
vertigo5–13-0.0920%14 Oct →
nuke12–12-0.0027%14 Oct →
inferno8–13-0.0216%14 Oct →
dust25–130.0138%14 Oct →
nuke12–12-0.0825%13 Oct →
cache13–60.0230%13 Oct →
overpass3–13-0.0226%13 Oct →
nuke5–13-0.0629%12 Oct →
inferno5–13-0.086%12 Oct →
train5–13-0.0118%12 Oct →
train8–130.0235%11 Oct →
cache12–12-0.0222%8 Oct →
inferno10–13-0.1116%8 Oct →
train10–13-0.0522%8 Oct →
cache10–130.0726%7 Oct →
inferno12–120.0322%7 Oct →
train7–13-0.0616%4 Oct →
overpass13–11-0.0126%4 Oct →
mirage3–13-0.0724%4 Oct →
nuke8–13-0.0414%4 Oct →
ancient16–120.0414%1 Oct →
vertigo7–13-0.0426%1 Oct →
nuke13–100.0223%1 Oct →
nuke7–13-0.0726%30 Sept →
inferno13–10-0.0124%30 Sept →
nuke6–13-0.0310%28 Sept →
nuke3–13-0.0621%28 Sept →
cache5–130.0434%24 Sept →
vertigo6–13-0.0832%24 Sept →
train9–13-0.0648%23 Sept →
anubis3–13-0.1013%23 Sept →
nuke13–50.0729%23 Sept →
cache13–9-0.0229%23 Sept →
cache13–50.0218%23 Sept →
overpass13–5-0.0111%22 Sept →
anubis1–13-0.0513%22 Sept →
cache13–50.0724%22 Sept →
overpass7–13-0.0322%19 Sept →
inferno5–13-0.0527%19 Sept →
cache13–40.0930%19 Sept →
cache7–13-0.0540%17 Sept →
dust25–13-0.0621%17 Sept →
mirage10–13-0.0530%17 Sept →
nuke13–40.0922%17 Sept →
cache13–80.0125%17 Sept →
inferno13–80.0738%16 Sept →
overpass13–4-0.0236%16 Sept →
mirage8–13-0.0635%15 Sept →
nuke7–13-0.0329%15 Sept →
dust210–13-0.0526%15 Sept →
inferno13–70.1035%15 Sept →
train1–13-0.0913%11 Sept →
vertigo11–13-0.0316%11 Sept →
cache3–13-0.0627%10 Sept →
dust213–90.0415%10 Sept →
nuke13–50.1035%9 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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