Sweetu

Sweetu — CS2 Stats

FI76561198106833013[U:1:146567285]Steam profile ↗✓ No bans

1,697Tracked matches52%Win rate2020Tracked since
6,718Hours in CS5Hrs last 2 wks
CSDB Rating5.8 SolidSupport
Premier CS Rating24,485Top 25% of 204,219 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)
CSDB Leaderboard#26920 of 251317 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

−124Premier CS Rating · 24,609 → 24,485

Rating over time

Premier CS Rating: 24,485 +2,600 28 Jan – 12 Oct · 13 days played
21,09324,609peak 24,60928 Jan12 Oct
24,609Peak Premier in tracked matches
35Days played since 2026-01-23

Premier CS Rating

  • 124 below peak (24,609)
  • +675 over 30 days · improving
  • Next: Red band at 25,000 — 515 to go
  • Reached: Pink band · 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 Level 8 among CSDB-tracked players (n=14,773), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate7.5%46.8%48.2%40.7% short
Shot accuracy16.9%13.0%13.3%above
Kill/death ratio1.151.061.07above
Match win rate44.1%46.3%46.9%2.8% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSweetuFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,485 · Pink 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

Aim66
Positioning52
Utility71

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateLWTLWLTTLL

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · −3.0pp headshot accuracy · +15ms reaction

Win rate down 40pp 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 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 538ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 534ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 526ms

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 (+1.7 against its own average).

Aim6.6
Utility7.1
Positioning5.2
Opening Duels3.2
Clutch6.0

Effective flashes

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 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

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

Aim6.6
Positioning5.2
Utility7.1
Mechanics5.7
Opening Duels2.1
Win Impact5.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time556ms−62ms
first ⅓ avg 618ms → last ⅓ avg 556ms
Headshot accuracy13.4%−1.2%
first ⅓ avg 14.7% → last ⅓ avg 13.4%

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

0.20Best match rating · 13–6 · ancient, 27 Jan →
28%Best headshot accuracy · 11–13 · mirage, 31 Jan →
391msFastest reaction time · 13–6 · anubis, 18 Sept →
13–0Biggest win · ancient, 23 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
16–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 80% over 5cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%0.01
nukeA1810–856%0.01
ancientA1610–663%0.03
anubisB115–645%0.02
mirageS75–271%0.02
cacheD72–529%0.00
overpassS54–180%0.02
shelter—31–233%0.01
vertigo—31–233%0.02
inferno—32–167%0.03
train—21–150%0.00
fachwerk—22–0100%0.08
boulder—20–20%-0.00
alpine—11–0100%0.02

Across the last 100 tracked matches.

Lifetime stats

1,313,246Lifetime kills
1.15K/D · Top 50% of Level 8 players
11,608Matches
44.1%Match win rate
7.5%Headshot %
16.9%Shot accuracy · Top 25% of Level 8 players
28,911MVPs
4,077Hours (in match)
10,030Bombs planted
2,281Bombs defused

Most-used weapons

SSG 081,077,585
AK-4774,102
AWP22,580
P2505,485
SG 5534,290
Tec-94,124

Lifetime map wins

10,434dust2
8,334nuke
7,727inferno
6,337train
4,307vertigo
3,317cbble
512office
246lake

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

Faceit stats

Combat

721Matches
51%Win rate
1.13Avg K/D
102.9ADR
36%Headshot %

Clutches & streaks

50%1v1 clutch win
29%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2729%1.4421.7
Nuke667%1.6621.8
Ancient475%1.3822.0
Anubis3100%1.8621.3
Vertigo3100%2.3623.7
Mirage3100%1.8117.0
Inferno1100%0.7311.0
Overpass1100%1.0013.0

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.

13.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
39.7%Spray accuracy
75.6%Counter-strafing
10.4°Preaim
547msReaction time
33.9%T opening success
42.8%CT opening success
0.76Enemies flashed / flash
6.9%Flash assists
11.55HE damage / grenade
14.53Flashes / 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 13.1098% — below the 15% mark we flag

    Aim Training →
  2. 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 33.8526% — below the 40% mark we flag

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
ancient4–130.0215%12 Oct →
mirage13–100.0313%7 Oct →
train12–12-0.038%4 Oct →
shelter9–130.0516%4 Oct →
fachwerk13–110.0711%4 Oct →
nuke3–13-0.0810%4 Oct →
cache12–120.0214%27 Sept →
vertigo12–120.067%27 Sept →
ancient10–13-0.085%18 Sept →
cache6–13-0.0411%18 Sept →
vertigo13–11-0.0012%18 Sept →
anubis13–60.0117%18 Sept →
mirage5–13-0.0710%14 Sept →
ancient13–60.0418%14 Sept →
nuke13–70.0922%14 Sept →
shelter10–13-0.0212%25 Aug →
overpass13–9-0.059%25 Aug →
cache5–130.0315%25 Aug →
nuke11–130.0016%25 Aug →
mirage13–10-0.029%25 Aug →
dust213–110.028%25 Aug →
dust28–13-0.0113%24 Aug →
dust26–13-0.0516%7 Aug →
nuke13–60.0114%7 Aug →
ancient13–110.0611%3 Aug →
dust28–13-0.0123%3 Aug →
cache16–140.0413%3 Aug →
anubis13–40.0613%3 Aug →
nuke7–13-0.0222%3 Aug →
dust213–80.0016%29 Jul →
dust216–130.0123%24 Jul →
mirage13–40.1113%24 Jul →
dust216–140.018%23 Jul →
ancient13–00.1113%23 Jul →
nuke16–140.029%23 Jul →
cache12–12-0.0113%18 Jul →
boulder3–130.0017%18 Jul →
shelter13–4-0.017%18 Jul →
fachwerk13–40.0919%18 Jul →
boulder1–13-0.0120%18 Jul →
ancient13–16-0.006%17 Jul →
cache3–13-0.0115%17 Jul →
mirage13–110.0214%27 Jun →
ancient13–60.0014%27 Jun →
inferno13–30.0813%13 Jun →
cache13–9-0.0218%13 Jun →
dust210–130.0112%15 May →
nuke13–40.0415%15 May →
mirage13–80.0714%6 May →
dust210–13-0.0025%6 May →
nuke13–100.0319%6 May →
anubis7–130.0812%20 Apr →
ancient7–130.0112%20 Apr →
train13–110.0316%19 Mar →
dust22–13-0.069%19 Mar →
anubis13–70.0317%11 Mar →
nuke13–80.0212%11 Mar →
dust211–130.0618%4 Mar →
inferno7–13-0.0116%12 Feb →
vertigo11–130.009%7 Feb →
nuke8–90.0313%7 Feb →
nuke9–130.0217%6 Feb →
dust210–130.0920%6 Feb →
anubis11–130.0110%6 Feb →
nuke14–16-0.0514%6 Feb →
ancient13–70.0414%6 Feb →
overpass13–70.0913%6 Feb →
nuke13–80.0420%4 Feb →
ancient13–90.069%4 Feb →
nuke6–130.0310%4 Feb →
dust213–110.0815%4 Feb →
anubis13–110.0313%4 Feb →
overpass13–20.0220%4 Feb →
nuke13–20.0812%4 Feb →
dust211–130.0810%3 Feb →
nuke7–130.0123%3 Feb →
dust28–13-0.0126%2 Feb →
alpine13–110.0214%2 Feb →
ancient13–20.0412%2 Feb →
anubis6–13-0.0513%31 Jan →
mirage11–130.0128%31 Jan →
anubis16–130.017%30 Jan →
overpass5–13-0.056%30 Jan →
ancient6–130.0111%30 Jan →
dust216–12-0.0214%30 Jan →
ancient11–130.0422%28 Jan →
dust213–60.0715%28 Jan →
anubis11–13-0.0310%28 Jan →
ancient13–11-0.0315%28 Jan →
dust213–16-0.0218%28 Jan →
inferno13–40.0211%28 Jan →
dust24–13-0.0516%28 Jan →
ancient13–11-0.0117%28 Jan →
nuke9–13-0.0415%28 Jan →
ancient13–60.2021%27 Jan →
nuke16–130.0615%25 Jan →
overpass13–70.079%25 Jan →
anubis11–130.0112%25 Jan →
dust213–110.0515%23 Jan →
anubis9–130.009%23 Jan →

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.