Hate

Hate — CS2 Stats

BE76561198033174653[U:1:72908925]Steam profile ↗✓ No bans

2,097Tracked matches41%Win rate2023Tracked since
991Hours in CS
CSDB Rating3.8 LearningPositional Player
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (57 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,058 → 1,058
+26Tracked matches · now 2,097
0.0ppWin rate · 41.4% → 41.4%

Rating over time

Premier CS Rating: 18,773 -871 26 Jun – 5 Jul · 4 days played
18,77319,644peak 19,64426 Jun5 Jul
19,644Peak Premier in tracked matches
1,058Highest Faceit ELO seen on CSDB
36Days played since 2026-06-25

Faceit ELO

  • At peak — 1,058
  • Next: Level 6 at 1,201 — 143 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-04
  • Level 4 first seen 2026-09-04

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.

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CSDB.GGHatePEAK ELO1,058csdb.gg/stats

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Performance scores

Aim44
Positioning51
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWWWLTWWLLW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · +2.0pp headshot accuracy · −84ms reaction

Win rate up 30pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 555ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

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 (+1.4 against its own average).

Aim4.4
Utility4.1
Positioning5.1
Opening Duels2.5
Clutch3.0

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 79% 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

Areas to improve

CT openings. Opening success drops from 52% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 591ms 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

Aim4.4
Positioning5.1
Utility4.1
Mechanics5.1
Opening Duels3.4
Win Impact2.1

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time604ms−48ms
first ⅓ avg 651ms → last ⅓ avg 604ms
Headshot accuracy15.3%−1.7%
first ⅓ avg 17.0% → last ⅓ avg 15.3%

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 · 10–13 · inferno, 26 Jul →
40%Best headshot accuracy · 0–6 · ancient, 16 Aug →
469msFastest reaction time · 13–7 · ancient, 28 Sept →
13–2Biggest win · ancient, 7 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
7–3In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 67% over 6ancientWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2C239–1439%-0.03
nukeB199–1047%-0.02
ancientD186–1233%-0.02
infernoB178–947%0.00
mirageB84–450%-0.02
cacheS64–267%-0.01
overpass—40–40%-0.01
anubis—21–150%-0.06
office—11–0100%0.01
boulder—10–10%-0.08
fachwerk—11–0100%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,877Lifetime kills
0.91K/D
2,569Matches
41.9%Match win rate
42.1%Headshot %
0.2%Shot accuracy
4,727MVPs
991Hours (in match)
2,178Bombs planted
575Bombs defused

Most-used weapons

Lifetime map wins

4,361inferno
3,139nuke
3,027dust2
1,549vertigo
552train
29office
8ar_baggage
7ar_shoots

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

Faceit stats

Combat

228Matches
50%Win rate
0.99Avg K/D
78.0ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
41%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5056%1.0013.5
Ancient4156%1.1817.9
Inferno3746%0.9414.1
Dust23546%1.0613.6
Nuke2744%0.8412.7
Anubis1844%0.9413.6
Vertigo1225%0.8514.1
Train667%0.9916.5

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.

14.8%Headshot accuracy
30.4%Accuracy (enemy spotted)
32.8%Spray accuracy
73.1%Counter-strafing
11.6°Preaim
591msReaction time
52.2%T opening success
34.9%CT opening success
0.49Enemies flashed / flash
2.3%Flash assists
8.98HE damage / grenade
5.16Flashes / 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 14.8458% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4866 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 34.85% — below the 40% mark we flag

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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–7-0.0213%28 Sept →
nuke13–70.0427%28 Sept →
cache13–100.0212%16 Sept →
mirage2–13-0.1115%16 Sept →
ancient12–120.0316%15 Sept →
nuke13–110.0218%15 Sept →
office7–10.015%15 Sept →
nuke8–130.0615%14 Sept →
inferno9–130.0020%14 Sept →
inferno13–30.0019%13 Sept →
dust27–13-0.039%11 Sept →
mirage11–13-0.0417%11 Sept →
ancient4–13-0.065%11 Sept →
nuke5–13-0.0211%11 Sept →
nuke9–12-0.0621%11 Sept →
ancient4–13-0.0711%11 Sept →
dust213–8-0.0219%10 Sept →
nuke13–8-0.0220%10 Sept →
inferno13–100.0213%10 Sept →
ancient2–13-0.0915%10 Sept →
inferno11–13-0.0313%9 Sept →
dust23–13-0.067%9 Sept →
dust25–13-0.0310%7 Sept →
nuke13–100.0719%7 Sept →
ancient13–20.0715%7 Sept →
dust26–13-0.1016%26 Aug →
inferno13–6-0.0519%16 Aug →
ancient0–6-0.1040%16 Aug →
boulder8–13-0.084%16 Aug →
ancient3–13-0.106%10 Aug →
dust26–130.0814%10 Aug →
dust213–100.0217%6 Aug →
nuke4–13-0.0823%6 Aug →
nuke5–13-0.1111%4 Aug →
inferno13–50.0116%4 Aug →
ancient12–12-0.0220%4 Aug →
nuke13–20.0311%4 Aug →
inferno8–130.0218%4 Aug →
dust26–13-0.0816%2 Aug →
inferno13–11-0.0621%2 Aug →
fachwerk13–11-0.0918%2 Aug →
inferno10–130.0223%1 Aug →
dust27–13-0.0821%1 Aug →
inferno10–130.1125%26 Jul →
cache13–4-0.039%22 Jul →
nuke13–9-0.0522%20 Jul →
dust210–130.0415%15 Jul →
inferno13–80.1024%15 Jul →
ancient13–90.0314%13 Jul →
nuke13–11-0.0317%12 Jul →
dust213–9-0.0315%12 Jul →
dust22–13-0.0219%12 Jul →
anubis8–13-0.0815%10 Jul →
dust26–130.0024%10 Jul →
mirage6–13-0.0121%9 Jul →
nuke4–13-0.0920%9 Jul →
dust213–11-0.037%9 Jul →
inferno13–50.0214%7 Jul →
dust27–13-0.014%7 Jul →
mirage13–10-0.0215%6 Jul →
dust213–9-0.039%6 Jul →
nuke13–50.0113%6 Jul →
cache10–13-0.0515%6 Jul →
dust213–9-0.0319%6 Jul →
inferno5–13-0.0614%5 Jul →
ancient7–13-0.0623%5 Jul →
dust212–120.0014%5 Jul →
dust29–13-0.0326%3 Jul →
ancient5–13-0.0311%3 Jul →
ancient13–110.0215%2 Jul →
dust29–13-0.0811%2 Jul →
mirage13–110.0419%2 Jul →
inferno6–13-0.0721%2 Jul →
nuke9–13-0.0614%1 Jul →
ancient6–13-0.0229%1 Jul →
overpass11–13-0.0310%1 Jul →
inferno10–130.0028%1 Jul →
ancient8–13-0.0117%1 Jul →
overpass10–130.0913%30 Jun →
nuke6–13-0.0316%29 Jun →
dust213–9-0.0010%29 Jun →
ancient4–13-0.0623%29 Jun →
ancient13–90.0618%28 Jun →
nuke13–80.0416%28 Jun →
cache13–90.0117%28 Jun →
cache5–13-0.049%28 Jun →
overpass5–13-0.039%27 Jun →
inferno13–80.0315%27 Jun →
mirage8–130.0219%27 Jun →
dust213–6-0.0318%27 Jun →
cache13–20.0024%27 Jun →
dust213–2-0.0617%26 Jun →
nuke7–13-0.066%26 Jun →
overpass3–13-0.0918%26 Jun →
mirage13–7-0.0212%26 Jun →
anubis13–7-0.056%26 Jun →
ancient13–40.0320%26 Jun →
nuke7–13-0.0918%25 Jun →
mirage13–4-0.0515%25 Jun →
inferno6–130.0239%25 Jun →

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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