The Hater

The Hater — CS2 Stats

DK76561198376242001[U:1:415976273]Steam profile ↗✓ No bans

1,836Tracked matches45%Win rate2020Tracked since
2,251Hours in CS
CSDB Rating4.3 DevelopingSupport
Premier CS Rating19,666Top 50% of 210,832 CSDB-tracked playersPurple band · top ~9.8% of ranked players (population est.)
CSDB Leaderboard#89908 of 257911 tracked
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (4 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: 19,666 -334 1 Sept – 23 Oct · 35 days played
19,23722,069peak 22,0691 Sept23 Oct
22,293Peak Premier in tracked matches
33Days played since 2026-09-01

Premier CS Rating

  • 2,403 below peak (22,069)
  • -1,473 over 30 days · declining
  • Next: Pink band at 20,000 — 334 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.4%44.4%46.9%6.5% short
Shot accuracy11.1%11.9%13.0%1.9% short
Kill/death ratio0.821.031.080.26 short
Match win rate46.6%45.2%46.7%meets

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

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

Share this profile

CSDB.GGThe HaterPREMIER19,666 · 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

Aim48
Positioning43
Utility63

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateWLLLWLWLLT

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −1.6pp headshot accuracy · +34ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 569ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 552ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 535ms

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 (+2.6 against its own average).

Aim4.8
Utility6.3
Positioning4.3
Opening Duels0.4

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 66% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 44% on T to 26% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning4.3
Utility6.3
Mechanics4.0
Opening Duels1.7
Win Impact3.3

Composite 4.3/10 (Developing), 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 rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time548ms−5ms
first ⅓ avg 553ms → last ⅓ avg 548ms
Headshot accuracy14.8%−2.0%
first ⅓ avg 16.9% → last ⅓ avg 14.8%

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

0.11Best match rating · 13–4 · anubis, 6 Oct →
36%Best headshot accuracy · 13–7 · cache, 25 Sept →
406msFastest reaction time · 8–13 · mirage, 27 Sept →
13–1Biggest win · mirage, 13 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 80% over 10infernoWeakest map · 29% over 24
MapGradePlayedRecordWin rateAvg rating
infernoD247–1729%-0.02
mirageB189–950%-0.00
dust2B157–847%-0.02
nukeB147–750%-0.01
anubisS128–467%0.02
ancientS108–280%0.01
cacheA74–357%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,979Lifetime kills
0.82K/D
4,790Matches
46.6%Match win rate · Top 50% of Purple band
40.4%Headshot %
11.1%Shot accuracy
10,668MVPs
2,251Hours (in match)
6,447Bombs planted
1,325Bombs defused

Most-used weapons

AK-4717,737
AWP14,339
MP92,362
MAC-102,240
FAMAS2,117
P901,775

Lifetime map wins

10,947inferno
7,233nuke
7,083dust2
2,390train
1,196vertigo
448cbble
123office
5safehouse

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

Faceit stats

Combat

3Matches
67%Win rate
0.49Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

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.

14.1%Headshot accuracy
30.5%Accuracy (enemy spotted)
33.6%Spray accuracy
68.0%Counter-strafing
10.8°Preaim
541msReaction time
43.6%T opening success
26.3%CT opening success
0.66Enemies flashed / flash
4.7%Flash assists
10.17HE damage / grenade
9.28Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1427% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 26.2724% — below the 40% mark we flag

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.

29% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–140.0312%23 Oct →
dust29–13-0.0613%23 Oct →
inferno2–13-0.0917%23 Oct →
dust211–13-0.0111%18 Oct →
mirage13–10-0.0416%17 Oct →
inferno9–13-0.0315%17 Oct →
mirage13–10-0.0214%17 Oct →
nuke8–130.0113%16 Oct →
cache8–13-0.103%16 Oct →
mirage15–150.0115%16 Oct →
mirage5–13-0.0613%14 Oct →
ancient11–13-0.0515%14 Oct →
mirage6–130.019%13 Oct →
mirage13–10.0419%13 Oct →
inferno4–13-0.0510%13 Oct →
anubis13–90.0121%13 Oct →
inferno13–11-0.0113%12 Oct →
anubis13–20.1024%12 Oct →
anubis10–130.0312%12 Oct →
inferno13–7-0.019%12 Oct →
cache13–8-0.0225%11 Oct →
ancient11–20.0515%11 Oct →
inferno2–13-0.0713%10 Oct →
ancient13–10-0.0111%10 Oct →
nuke10–13-0.018%10 Oct →
dust25–13-0.0321%9 Oct →
nuke13–110.0610%9 Oct →
nuke5–13-0.0118%8 Oct →
inferno5–130.007%8 Oct →
mirage13–10.0635%8 Oct →
inferno12–160.0217%7 Oct →
nuke13–16-0.0317%7 Oct →
anubis13–40.1119%6 Oct →
inferno5–13-0.0218%4 Oct →
ancient13–9-0.0421%4 Oct →
inferno10–13-0.0319%3 Oct →
ancient13–10-0.0112%3 Oct →
nuke13–70.0313%3 Oct →
anubis11–130.1114%3 Oct →
dust27–13-0.0320%3 Oct →
nuke13–6-0.0520%2 Oct →
ancient13–60.0313%2 Oct →
dust213–100.0131%2 Oct →
dust213–100.0113%2 Oct →
ancient13–60.0615%2 Oct →
inferno13–30.0913%2 Oct →
inferno9–13-0.0514%2 Oct →
nuke7–13-0.079%29 Sept →
cache13–60.0016%29 Sept →
inferno15–150.0517%28 Sept →
anubis13–60.0315%28 Sept →
mirage8–130.0613%27 Sept →
inferno6–13-0.0317%27 Sept →
cache8–13-0.0533%26 Sept →
inferno6–13-0.0425%26 Sept →
inferno11–13-0.0211%25 Sept →
inferno13–50.0923%25 Sept →
mirage3–13-0.0415%25 Sept →
cache13–7-0.0136%25 Sept →
nuke12–16-0.0314%24 Sept →
anubis13–11-0.0512%24 Sept →
mirage13–5-0.0621%24 Sept →
mirage13–30.0420%23 Sept →
mirage13–100.0630%23 Sept →
mirage10–13-0.0021%23 Sept →
inferno13–9-0.0431%23 Sept →
mirage14–160.0118%23 Sept →
nuke10–13-0.0412%23 Sept →
inferno4–13-0.0615%22 Sept →
ancient15–150.0320%22 Sept →
mirage16–12-0.0215%22 Sept →
inferno7–130.0223%22 Sept →
anubis9–13-0.0819%22 Sept →
dust213–70.0535%22 Sept →
mirage8–13-0.0414%22 Sept →
inferno2–0-0.080%22 Sept →
dust213–6-0.0517%22 Sept →
inferno16–14-0.037%22 Sept →
anubis9–13-0.0515%21 Sept →
nuke16–140.0421%21 Sept →
mirage10–130.0310%21 Sept →
anubis13–8-0.0428%21 Sept →
dust26–13-0.0916%21 Sept →
nuke13–100.0118%20 Sept →
nuke13–9-0.0314%20 Sept →
dust213–8-0.0013%20 Sept →
mirage13–5-0.0618%17 Sept →
anubis13–11-0.019%17 Sept →
nuke13–110.0218%17 Sept →
dust213–11-0.0526%16 Sept →
inferno10–13-0.027%15 Sept →
ancient13–90.0218%15 Sept →
dust27–13-0.0316%14 Sept →
dust215–15-0.0328%13 Sept →
cache11–13-0.0214%12 Sept →
dust213–3-0.0224%12 Sept →
dust210–130.0115%12 Sept →
cache13–70.0318%12 Sept →
ancient13–60.0117%11 Sept →
inferno6–130.0014%11 Sept →

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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