sonic

sonic — CS2 Stats

US76561199501571161[U:1:1541305433]Steam profile ↗✓ No bans

1,146Tracked matches50%Win rate2023Tracked since
1,293Hours in CS4Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating18,767Top 50% of 213,211 CSDB-tracked playersPurple band · top ~13.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 18,767 +2,409 28 May – 2 Nov · 46 days played
15,58219,982peak 19,98228 May2 Nov
19,999Peak Premier in tracked matches
59Days played since 2026-05-24

Premier CS Rating

  • 1,215 below peak (19,982)
  • +257 over 30 days · steady
  • +103 over 90 days
  • Next: Pink band at 20,000 — 1,233 to go
  • Reached: Purple band · 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 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 rate53.5%44.4%46.9%above
Shot accuracy2.5%11.9%13.0%10.5% short
Kill/death ratio1.041.031.080.04 short
Match win rate52.6%45.2%46.7%above

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

Widest gap: Shot accuracy. 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.GGsonicPREMIER18,767 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning51
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWLLWLLWWL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +4.1pp headshot accuracy · −29ms 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 25%
  • Avg reaction 570ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 590ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 605ms

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 (+1.8 against its own average).

Aim6.9
Utility6.3
Positioning5.1
Opening Duels3.8
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

ZywOo

Plays most like ZywOo 85% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 606ms 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

Aim6.9
Positioning5.1
Utility6.3
Mechanics6.5
Opening Duels3.7
Win Impact5.0

Composite 5.9/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time609ms−23ms
first ⅓ avg 632ms → last ⅓ avg 609ms
Headshot accuracy23.7%+0.7%
first ⅓ avg 23.0% → last ⅓ avg 23.7%

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

0.27Best match rating · 9–2 · inferno, 15 Jul →
50%Best headshot accuracy · 3–13 · mirage, 10 Aug →
453msFastest reaction time · 4–13 · dust2, 12 Aug →
13–0Biggest win · dust2, 31 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
5–12In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 75% over 12anubisWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B3919–2049%0.01
mirageB136–746%0.01
anubisD124–833%0.02
nukeS129–375%0.02
infernoA116–555%0.05
ancientC94–544%0.00
cache—30–30%0.00
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,164Lifetime kills
1.04K/D · Top 50% of Purple band
1,484Matches
52.6%Match win rate · Top 10% of Purple band
53.5%Headshot % · Top 25% of Purple band
2.5%Shot accuracy
4,289MVPs
694Hours (in match)
2,128Bombs planted
635Bombs defused

Most-used weapons

AK-4710,124
MP91,671
AWP1,667
MAC-101,359
FAMAS1,134
P250669

Lifetime map wins

4,675dust2
2,049inferno
1,886nuke
925vertigo
137train
22office
9cbble
9lake

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

Faceit stats

Combat

295Matches
49%Win rate
1.19Avg K/D
90.1ADR
54%Headshot %

Clutches & streaks

35%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust28961%1.2418.5
Mirage7439%1.2118.1
Ancient3339%1.0616.7
Inferno3348%1.2318.9
Nuke2854%1.0616.9
Anubis2365%1.3719.6
Overpass60%1.0515.8
Vertigo540%0.9915.0

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.

24.6%Headshot accuracy
31.5%Accuracy (enemy spotted)
33.1%Spray accuracy
79.3%Counter-strafing
9.6°Preaim
606msReaction time
45.6%T opening success
43.6%CT opening success
0.52Enemies flashed / flash
7.1%Flash assists
12.48HE damage / grenade
11.21Flashes / match

Recommended for you

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10.1026%2 Nov →
dust213–60.0619%2 Nov →
mirage6–13-0.0220%27 Oct →
cache7–130.0133%26 Oct →
inferno16–130.0327%26 Oct →
dust26–13-0.0331%17 Oct →
cache9–130.0432%14 Oct →
anubis13–30.1333%12 Oct →
inferno13–9-0.0118%8 Oct →
dust22–13-0.0833%4 Oct →
mirage3–13-0.0417%4 Oct →
anubis7–13-0.0720%10 Sept →
ancient9–130.0320%3 Sept →
mirage9–13-0.0317%31 Aug →
dust213–00.1426%31 Aug →
inferno13–90.0435%29 Aug →
dust23–13-0.0519%29 Aug →
inferno15–150.0624%28 Aug →
dust216–140.1130%20 Aug →
dust213–100.0623%19 Aug →
ancient6–13-0.0124%17 Aug →
nuke13–50.0023%17 Aug →
ancient11–13-0.0522%16 Aug →
dust213–70.0627%13 Aug →
dust24–13-0.0718%12 Aug →
nuke13–60.0518%12 Aug →
mirage3–13-0.0350%10 Aug →
nuke15–150.0324%9 Aug →
nuke13–100.0211%9 Aug →
anubis13–11-0.0022%9 Aug →
inferno4–13-0.0310%8 Aug →
anubis12–12-0.0318%8 Aug →
nuke7–130.0111%6 Aug →
dust28–13-0.0425%6 Aug →
dust213–9-0.0022%5 Aug →
inferno13–80.0829%5 Aug →
anubis13–160.0023%3 Aug →
nuke13–80.0219%3 Aug →
anubis6–130.0128%2 Aug →
nuke13–30.0429%2 Aug →
dust213–100.0330%2 Aug →
anubis11–130.1123%30 Jul →
mirage13–80.0321%30 Jul →
dust22–13-0.0328%28 Jul →
mirage6–13-0.0412%28 Jul →
nuke13–60.0328%22 Jul →
dust211–130.0621%22 Jul →
dust210–13-0.0114%21 Jul →
inferno10–130.0225%20 Jul →
dust25–130.0321%20 Jul →
dust213–10-0.0329%19 Jul →
ancient13–60.0523%19 Jul →
inferno8–13-0.0023%19 Jul →
dust20–13-0.0024%18 Jul →
cache11–13-0.0425%18 Jul →
dust213–5-0.0512%18 Jul →
dust213–40.0819%18 Jul →
nuke13–70.0423%18 Jul →
ancient13–9-0.0116%18 Jul →
dust213–60.0136%18 Jul →
ancient13–11-0.0629%17 Jul →
dust211–13-0.0516%17 Jul →
mirage13–60.1324%16 Jul →
dust26–130.0118%16 Jul →
mirage15–150.0428%15 Jul →
anubis13–70.0222%15 Jul →
inferno9–20.2715%15 Jul →
dust213–90.0323%13 Jul →
anubis11–130.0125%13 Jul →
dust213–80.0325%12 Jul →
inferno11–13-0.0125%12 Jul →
nuke13–50.0723%9 Jul →
mirage5–13-0.0618%5 Jul →
inferno13–80.0522%4 Jul →
overpass13–7-0.0230%28 Jun →
dust214–16-0.0119%26 Jun →
dust216–130.0326%26 Jun →
dust213–8-0.0313%22 Jun →
dust213–110.0124%21 Jun →
dust27–13-0.0416%21 Jun →
dust25–13-0.0220%16 Jun →
ancient11–130.0013%14 Jun →
dust28–13-0.0321%14 Jun →
mirage13–60.0227%10 Jun →
dust211–130.0125%9 Jun →
mirage13–8-0.0316%8 Jun →
ancient13–40.1026%8 Jun →
anubis5–13-0.0815%7 Jun →
dust213–00.1228%7 Jun →
anubis9–130.0728%5 Jun →
dust22–13-0.0927%4 Jun →
anubis13–60.0519%4 Jun →
dust213–10-0.0030%3 Jun →
dust211–130.0727%2 Jun →
nuke13–10-0.0138%31 May →
ancient6–13-0.0226%31 May →
nuke3–9-0.036%31 May →
mirage13–70.1126%30 May →
dust211–130.0324%28 May →
dust213–11-0.0428%24 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.