Freaky

Freaky — CS2 Stats

76561198066012278[U:1:105746550]Steam profile ↗VAC banned

780Tracked matches59%Win rate2021Tracked since
3,250Hours in CS27Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating26,633Top 5% of 212,910 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#8704 of 259747 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). 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: 26,633 +7,088 14 Jun – 2 Nov · 13 days played
19,54526,633peak 26,63314 Jun2 Nov
26,861Peak Premier in tracked matches
35Days played since 2026-06-06

Premier CS Rating

  • At peak — 26,633
  • Next: Gold band at 30,000 — 3,367 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-23
  • Purple band first seen 2026-09-23

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate39.0%49.3%50.9%11.9% short
Shot accuracy15.7%13.4%11.8%above
Kill/death ratio1.331.121.18above
Match win rate45.5%48.5%51.9%6.3% short

This profile matches the typical Gold band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFreakyPREMIER26,633 · Red 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

Aim77
Positioning48
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWWLWWLLWL

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · +2.5pp headshot accuracy · +14ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 567ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 581ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 574ms

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 (+3.3 against its own average).

Aim7.7
Utility6.4
Positioning4.8
Opening Duels1.4
Clutch0.0

Strong CT-side opener

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

ZywOo

Plays most like ZywOo 83% 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

T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim7.7
Positioning4.8
Utility6.4
Mechanics5.7
Opening Duels1.7
Win Impact7.9

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time554ms−118ms
first ⅓ avg 671ms → last ⅓ avg 554ms
Headshot accuracy20.9%−3.3%
first ⅓ avg 24.1% → 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

0.18Best match rating · 13–5 · inferno, 31 Oct →
86%Best headshot accuracy · 6–1 · mirage, 26 Jun →
391msFastest reaction time · 13–7 · dust2, 17 Oct →
13–0Biggest win · nuke, 31 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 71% over 17anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC3113–1842%0.02
ancientS1712–571%0.01
dust2A149–564%0.01
cacheC94–544%-0.01
anubisC83–538%-0.01
infernoA85–363%0.04
nukeB63–350%0.05
office—42–250%0.06
vertigo—21–150%0.06
train—10–10%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,206Lifetime kills
1.33K/D · Top 25% of Red band
4,815Matches
45.5%Match win rate
39.0%Headshot %
15.7%Shot accuracy · Top 50% of Red band
13,978MVPs
1,780Hours (in match)
5,869Bombs planted
1,877Bombs defused

Most-used weapons

AWP28,303
AK-4726,585
P2502,928
Tec-92,613
SSG 082,103

Lifetime map wins

5,178dust2
3,805inferno
2,294nuke
1,091cbble
940train
885vertigo
162bank
154lake

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

Faceit stats

Combat

165Matches
52%Win rate
1.42Avg K/D
90.5ADR
39%Headshot %

Clutches & streaks

12%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage838%1.3920.3
Anubis475%1.3716.8
Ancient425%1.2023.0
Dust2367%1.5921.7
Nuke2100%1.2214.0
Inferno250%1.5626.5
Train1100%1.8231.0
Vertigo10%0.7311.0

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.

19.9%Headshot accuracy
36.8%Accuracy (enemy spotted)
38.7%Spray accuracy
75.6%Counter-strafing
9.2°Preaim
557msReaction time
25.8%T opening success
43.4%CT opening success
0.63Enemies flashed / flash
7.6%Flash assists
7.67HE damage / grenade
13.61Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.8389% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0810%2 Nov →
ancient13–9-0.0735%2 Nov →
dust213–8-0.0430%2 Nov →
dust210–13-0.0012%2 Nov →
mirage13–60.0122%2 Nov →
ancient13–60.0512%2 Nov →
dust211–130.0218%1 Nov →
mirage2–130.0020%31 Oct →
nuke13–00.1128%31 Oct →
cache10–13-0.0313%31 Oct →
anubis13–100.0311%31 Oct →
inferno11–130.0020%31 Oct →
mirage6–13-0.0020%31 Oct →
inferno16–12-0.0115%31 Oct →
dust213–40.0110%31 Oct →
inferno13–50.1831%31 Oct →
office13–20.1024%31 Oct →
office11–20.0914%31 Oct →
train9–130.0617%27 Oct →
vertigo12–120.0513%27 Oct →
dust213–100.0927%26 Oct →
nuke13–40.0635%26 Oct →
cache13–30.0010%24 Oct →
inferno5–2-0.0080%24 Oct →
cache7–13-0.0211%24 Oct →
ancient13–6-0.0223%24 Oct →
dust211–130.0020%24 Oct →
cache10–13-0.0236%24 Oct →
office9–130.0619%24 Oct →
dust213–6-0.047%23 Oct →
cache16–12-0.0117%23 Oct →
cache15–15-0.0116%23 Oct →
anubis7–13-0.0413%23 Oct →
mirage14–16-0.0512%23 Oct →
cache13–100.0110%22 Oct →
cache10–13-0.0021%22 Oct →
ancient13–6-0.0412%22 Oct →
ancient13–11-0.0721%22 Oct →
mirage4–13-0.0710%22 Oct →
anubis7–13-0.060%22 Oct →
cache13–7-0.0121%17 Oct →
anubis16–14-0.0213%17 Oct →
inferno8–13-0.0124%17 Oct →
ancient13–40.0427%17 Oct →
dust213–7-0.0116%17 Oct →
dust213–30.0110%3 Oct →
ancient0–9-0.0130%3 Oct →
anubis13–70.0818%29 Sept →
inferno13–40.0126%29 Sept →
mirage13–80.0524%13 Aug →
mirage13–110.0313%22 Jul →
mirage13–100.0726%19 Jul →
mirage4–13-0.0033%11 Jul →
mirage13–50.1029%6 Jul →
mirage13–11-0.0020%6 Jul →
ancient13–40.1321%4 Jul →
ancient9–13-0.0620%2 Jul →
ancient12–12-0.0023%2 Jul →
mirage5–130.0152%30 Jun →
mirage9–13-0.0138%30 Jun →
ancient5–00.0650%30 Jun →
ancient1–10-0.0429%30 Jun →
inferno13–11-0.0020%28 Jun →
mirage13–4-0.0741%28 Jun →
mirage11–130.0119%28 Jun →
dust213–60.0319%27 Jun →
mirage13–90.0533%27 Jun →
ancient13–70.1229%27 Jun →
mirage6–13-0.0427%27 Jun →
mirage11–130.0418%26 Jun →
mirage6–10.1086%26 Jun →
mirage13–6-0.0325%24 Jun →
mirage0–50.0124%24 Jun →
mirage13–2-0.0125%24 Jun →
mirage4–130.0420%22 Jun →
mirage13–40.0831%22 Jun →
ancient13–70.0828%21 Jun →
mirage7–130.0622%21 Jun →
dust213–80.0523%21 Jun →
mirage1–130.0129%21 Jun →
mirage13–50.0322%18 Jun →
mirage12–120.0820%16 Jun →
inferno7–130.1323%14 Jun →
dust211–13-0.0233%14 Jun →
dust213–80.0510%14 Jun →
ancient1–13-0.067%12 Jun →
dust27–13-0.0325%12 Jun →
vertigo13–50.0712%12 Jun →
ancient13–60.0322%12 Jun →
office0–13-0.0238%12 Jun →
nuke4–13-0.068%12 Jun →
mirage9–130.0027%11 Jun →
ancient13–90.0832%11 Jun →
nuke12–120.0316%11 Jun →
anubis9–130.006%10 Jun →
nuke5–130.0628%9 Jun →
mirage10–130.0126%8 Jun →
mirage8–130.0115%7 Jun →
anubis5–13-0.0122%6 Jun →
nuke13–60.1120%6 Jun →

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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