sugabogg

sugabogg — CS2 Stats

76561199838139543[U:1:1877873815]Steam profile ↗✓ No bans

490Tracked matches47%Win rate2025Tracked since
CSDB Rating1.6 LearningPositional Player
Premier CS Rating4,402Grey band · top ~81.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 4,402 -479 24 Sept – 12 Nov · 14 days played
4,4025,576peak 5,57624 Sept12 Nov
5,576Peak Premier in tracked matches
30Days played since 2026-09-14

Premier CS Rating

  • 1,174 below peak (5,576)
  • -709 over 30 days · declining
  • Next: Light Blue band at 5,000 — 598 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGsugaboggPREMIER4,402 · Grey bandcsdb.gg/stats

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Performance scores

Aim14
Positioning26
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY43–47–10Last 10043%Win rateLLLWLWWLLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −2.0pp headshot accuracy · −107ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 7%
  • Avg reaction 700ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 679ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 733ms

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).

Aim1.4
Utility2.2
Positioning2.6
Opening Duels0.0
Clutch0.0

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

ZywOo

Plays most like ZywOo 71% 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

Reaction time. 720ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% 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

Aim1.4
Positioning2.6
Utility2.2
Mechanics0.5
Opening Duels0.0
Win Impact3.9

Composite 1.6/10 (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-0.05−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time722ms+17ms
first ⅓ avg 704ms → last ⅓ avg 722ms
Headshot accuracy8.4%−0.6%
first ⅓ avg 9.1% → last ⅓ avg 8.4%

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

0.05Best match rating · 13–5 · anubis, 28 Sept →
20%Best headshot accuracy · 13–4 · mirage, 3 Oct →
445msFastest reaction time · 5–13 · inferno, 3 Oct →
13–1Biggest win · mirage, 8 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
3–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 73% over 11cacheWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB1910–953%-0.05
nukeB178–947%-0.06
dust2C177–1041%-0.05
cacheD143–1121%-0.04
infernoD113–827%-0.07
anubisS118–373%-0.03
ancientD62–433%-0.06
train—22–0100%-0.04
rush_001—10–10%-0.23
overpass—10–10%-0.10
office—10–10%-0.12

Across the last 100 tracked matches.

Faceit stats

Combat

6Matches
83%Win rate
0.67Avg K/D
53.3ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno367%0.608.7
Dust22100%0.8610.0
Ancient1100%0.506.0

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.

8.7%Headshot accuracy
31.5%Accuracy (enemy spotted)
33.7%Spray accuracy
52.4%Counter-strafing
12.5°Preaim
720msReaction time
17.6%T opening success
23.7%CT opening success
0.40Enemies flashed / flash
1.0%Flash assists
5.07HE damage / grenade
2.07Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4995° — above the 12° mark we flag

    Aim Training →
  2. 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 8.6657% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 720.0504ms — above the 700ms mark we flag

    Aim Training →
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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.050%12 Nov →
ancient6–13-0.099%12 Nov →
ancient1–13-0.096%12 Nov →
cache13–10-0.073%11 Nov →
mirage3–13-0.0616%11 Nov →
inferno13–9-0.056%10 Nov →
mirage13–10-0.006%10 Nov →
cache7–13-0.028%10 Nov →
dust26–13-0.0517%10 Nov →
nuke13–6-0.0511%10 Nov →
nuke5–13-0.055%8 Nov →
mirage13–1-0.0714%8 Nov →
dust213–2-0.0313%23 Oct →
dust27–13-0.115%23 Oct →
cache9–13-0.0115%23 Oct →
mirage7–13-0.0617%19 Oct →
nuke13–7-0.0213%19 Oct →
anubis13–4-0.056%19 Oct →
mirage7–13-0.066%19 Oct →
nuke13–10-0.1010%18 Oct →
anubis7–13-0.056%17 Oct →
nuke13–70.0012%17 Oct →
mirage13–4-0.095%17 Oct →
inferno6–13-0.103%14 Oct →
dust213–8-0.0510%13 Oct →
cache7–13-0.0710%12 Oct →
dust28–13-0.0712%12 Oct →
inferno0–13-0.085%12 Oct →
anubis13–5-0.069%12 Oct →
train13–10-0.014%11 Oct →
inferno15–15-0.062%11 Oct →
nuke10–13-0.057%11 Oct →
cache11–13-0.037%11 Oct →
cache11–13-0.068%10 Oct →
mirage13–11-0.023%10 Oct →
cache9–13-0.052%10 Oct →
nuke15–15-0.094%8 Oct →
mirage13–7-0.096%8 Oct →
anubis13–30.0210%8 Oct →
dust210–13-0.0414%8 Oct →
ancient11–13-0.054%8 Oct →
anubis12–12-0.0611%7 Oct →
nuke13–10-0.090%7 Oct →
rush_0012–6-0.230%7 Oct →
mirage13–6-0.039%6 Oct →
anubis13–11-0.095%6 Oct →
cache13–2-0.037%6 Oct →
nuke13–8-0.072%5 Oct →
overpass9–13-0.107%5 Oct →
inferno3–13-0.0915%5 Oct →
train13–10-0.068%5 Oct →
mirage6–130.030%4 Oct →
dust213–7-0.094%4 Oct →
anubis13–5-0.028%3 Oct →
inferno5–13-0.0610%3 Oct →
mirage13–4-0.065%3 Oct →
mirage13–4-0.1020%3 Oct →
office5–13-0.124%1 Oct →
cache12–12-0.065%1 Oct →
anubis11–13-0.018%1 Oct →
inferno3–5-0.0715%1 Oct →
dust22–13-0.0612%1 Oct →
cache13–70.045%30 Sept →
nuke16–12-0.0712%30 Sept →
mirage10–13-0.0513%30 Sept →
dust213–50.0115%30 Sept →
ancient11–13-0.037%29 Sept →
ancient13–5-0.049%29 Sept →
inferno13–7-0.0612%28 Sept →
dust29–13-0.046%28 Sept →
anubis13–50.055%28 Sept →
dust211–13-0.0614%28 Sept →
mirage8–13-0.0916%28 Sept →
dust213–1-0.0213%27 Sept →
cache11–13-0.0512%27 Sept →
inferno6–13-0.079%27 Sept →
dust212–12-0.048%27 Sept →
nuke12–12-0.056%27 Sept →
mirage13–5-0.016%27 Sept →
inferno9–13-0.0512%26 Sept →
dust212–12-0.0611%26 Sept →
mirage13–6-0.0312%26 Sept →
nuke4–13-0.0814%26 Sept →
nuke10–13-0.0513%24 Sept →
anubis13–9-0.0113%24 Sept →
dust24–13-0.0814%24 Sept →
nuke13–8-0.057%17 Sept →
mirage7–13-0.0510%17 Sept →
mirage12–12-0.090%16 Sept →
dust213–4-0.050%16 Sept →
inferno9–13-0.095%16 Sept →
mirage9–13-0.0811%16 Sept →
cache12–12-0.039%16 Sept →
cache11–13-0.078%15 Sept →
nuke12–12-0.096%15 Sept →
dust213–70.019%14 Sept →
nuke7–13-0.073%14 Sept →
ancient10–6-0.0314%14 Sept →
anubis13–7-0.0414%14 Sept →
cache0–13-0.100%14 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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