Sonic Gotta Go Fast

Sonic Gotta Go Fast — CS2 Stats

US76561198276998193[U:1:316732465]Steam profile ↗✓ No bans

1,876Tracked matches37%Win rate2020Tracked since
5,265Hours in CS7Hrs last 2 wks
CSDB Rating3.3 LearningPositional Player
Premier CS Rating13,254Blue band · top ~37.7% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (8 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: 13,254 -2,546 24 Aug – 9 Oct · 21 days played
12,52715,800peak 15,80024 Aug9 Oct
16,180Peak Premier in tracked matches
24Days played since 2026-08-24

Premier CS Rating

  • 2,546 below peak (15,800)
  • -975 over 30 days · declining
  • Next: Purple band at 15,000 — 1,746 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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 rate32.5%42.0%44.3%11.9% short
Shot accuracy7.1%9.6%11.9%4.8% short
Kill/death ratio1.050.981.03meets
Match win rate43.2%43.8%45.2%2.0% short

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

Widest gap: Shot accuracy. 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.GGSonic Gotta Go FastPREMIER13,254 · Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning55
Utility8

0–100 skill scores via Leetify.

Recent form

COLD48–44–8Last 10048%Win rateLLWWTWTTLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +0.8pp headshot accuracy · −89ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 581ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 569ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 613ms

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 (+2.9 against its own average).

Aim3.9
Utility0.8
Positioning5.5
Opening Duels3.3
Clutch1.0

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

s1mple

Plays most like s1mple 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.9
Positioning5.5
Utility0.8
Mechanics3.6
Opening Duels4.6
Win Impact0.7

Composite 3.3/10 (Learning), 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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time604ms+28ms
first ⅓ avg 577ms → last ⅓ avg 604ms
Headshot accuracy16.7%+0.4%
first ⅓ avg 16.3% → last ⅓ avg 16.7%

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

0.32Best match rating · 9–0 · nuke, 5 Sept →
40%Best headshot accuracy · 9–1 · vertigo, 6 Sept →
414msFastest reaction time · 9–7 · inferno, 6 Sept →
13–3Biggest win · nuke, 16 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

vertigoBest map · 86% over 7cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB4121–2051%-0.00
nukeB178–947%0.01
dust2D103–730%0.01
mirageC73–443%0.00
cacheD72–529%-0.03
vertigoS76–186%0.07
ancientB63–350%-0.02
anubis—41–325%-0.04
overpass—11–0100%0.15

Across the last 100 tracked matches.

Lifetime stats

63,574Lifetime kills
1.05K/D · Top 50% of Blue band
3,663Matches
43.2%Match win rate
32.5%Headshot %
7.1%Shot accuracy
8,522MVPs
1,233Hours (in match)
1,481Bombs planted
977Bombs defused

Most-used weapons

AWP17,265
P907,303
AK-475,785
SG 5532,946
MAC-102,943
SSG 081,197
MP71,016

Lifetime map wins

11,325dust2
4,566inferno
3,051nuke
1,628vertigo
475train
138lake
87cbble
82office

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

Faceit stats

Combat

12Matches
50%Win rate
1.25Avg K/D
84.1ADR
40%Headshot %

Clutches & streaks

25%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2425%0.9815.0
Mirage367%1.3318.3
Train250%1.0918.5
Ancient250%2.0322.5
Nuke1100%0.8713.0

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.

16.7%Headshot accuracy
30.5%Accuracy (enemy spotted)
30.1%Spray accuracy
66.2%Counter-strafing
11.3°Preaim
605msReaction time
48.0%T opening success
48.5%CT opening success
0.34Enemies flashed / flash
0.0%Flash assists
4.82HE damage / grenade
0.46Flashes / 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 0.3418 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–16-0.034%9 Oct →
mirage9–13-0.0137%9 Oct →
nuke13–90.0724%6 Oct →
ancient13–9-0.0216%6 Oct →
ancient15–15-0.0816%17 Sept →
inferno9–50.027%17 Sept →
inferno8–80.0022%17 Sept →
cache15–15-0.067%17 Sept →
inferno5–9-0.0521%17 Sept →
nuke11–13-0.0317%17 Sept →
nuke13–8-0.0013%16 Sept →
anubis10–13-0.0918%16 Sept →
nuke13–30.0330%16 Sept →
nuke13–6-0.039%15 Sept →
dust29–13-0.0811%15 Sept →
inferno5–9-0.0811%15 Sept →
vertigo9–70.0312%13 Sept →
nuke14–160.0921%12 Sept →
inferno9–60.1420%12 Sept →
inferno0–9-0.2317%12 Sept →
anubis4–13-0.0413%12 Sept →
mirage5–13-0.0411%12 Sept →
inferno7–9-0.0824%12 Sept →
inferno9–60.0729%12 Sept →
inferno0–9-0.250%12 Sept →
cache6–13-0.0815%11 Sept →
cache7–13-0.0416%11 Sept →
inferno9–30.0523%11 Sept →
inferno9–30.1329%11 Sept →
cache13–90.0124%8 Sept →
inferno7–90.0014%8 Sept →
inferno6–9-0.063%8 Sept →
nuke13–8-0.0320%8 Sept →
nuke2–9-0.0824%8 Sept →
dust28–130.0517%7 Sept →
inferno9–70.067%6 Sept →
dust26–130.0417%6 Sept →
vertigo9–10.0640%6 Sept →
vertigo9–20.257%5 Sept →
ancient11–13-0.0115%5 Sept →
mirage13–16-0.0413%5 Sept →
inferno8–8-0.0111%5 Sept →
inferno9–70.0311%5 Sept →
inferno9–40.0120%5 Sept →
inferno9–7-0.027%5 Sept →
inferno9–40.1118%5 Sept →
vertigo9–50.0921%5 Sept →
vertigo3–9-0.1119%5 Sept →
inferno9–10.2011%5 Sept →
nuke9–00.3217%5 Sept →
inferno3–9-0.0913%5 Sept →
nuke8–8-0.0510%5 Sept →
inferno8–8-0.0411%5 Sept →
inferno9–70.0133%4 Sept →
inferno9–60.0314%4 Sept →
vertigo9–4-0.0715%4 Sept →
inferno9–40.226%4 Sept →
inferno3–9-0.0724%4 Sept →
vertigo9–00.2423%3 Sept →
nuke1–9-0.186%3 Sept →
inferno9–3-0.0213%3 Sept →
nuke4–9-0.1114%2 Sept →
ancient13–40.0315%2 Sept →
inferno3–9-0.1612%1 Sept →
anubis9–13-0.0211%1 Sept →
ancient13–6-0.0218%1 Sept →
inferno9–5-0.0023%1 Sept →
inferno9–60.0814%1 Sept →
inferno9–70.0130%1 Sept →
mirage13–3-0.0029%1 Sept →
overpass9–40.1524%1 Sept →
inferno9–3-0.0321%1 Sept →
inferno6–90.0819%1 Sept →
nuke9–60.0310%31 Aug →
nuke9–20.2310%31 Aug →
nuke3–9-0.0722%31 Aug →
inferno6–90.0210%31 Aug →
dust27–130.0923%31 Aug →
mirage15–150.0011%31 Aug →
cache11–13-0.0722%30 Aug →
anubis13–8-0.0413%30 Aug →
inferno8–80.0013%30 Aug →
mirage13–80.0513%29 Aug →
inferno10–13-0.0813%29 Aug →
inferno13–5-0.0213%28 Aug →
dust214–160.0116%28 Aug →
dust210–130.0113%27 Aug →
dust213–50.0319%27 Aug →
dust213–80.0423%26 Aug →
dust213–8-0.0127%26 Aug →
ancient8–13-0.0119%25 Aug →
dust214–16-0.0414%25 Aug →
inferno7–90.0115%25 Aug →
cache7–13-0.0414%25 Aug →
inferno6–9-0.0414%25 Aug →
inferno9–60.0114%24 Aug →
inferno4–9-0.129%24 Aug →
nuke9–13-0.0510%24 Aug →
cache13–110.0811%24 Aug →
mirage13–110.0811%24 Aug →

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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