Uzi

Uzi — CS2 Stats

76561199500795415[U:1:1540529687]Steam profile ↗✓ No bans

747Tracked matches37%Win rate2025Tracked since
932Hours in CS22Hrs last 2 wks
CSDB Rating3.7 LearningClutch Specialist
Premier CS Rating5,000Light Blue band · top ~78.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 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: 5,000 -289 30 Aug – 30 Oct · 28 days played
4,8937,728peak 7,72830 Aug30 Oct
7,728Peak Premier in tracked matches
35Days played since 2026-08-30

Premier CS Rating

  • 2,728 below peak (7,728)
  • -517 over 30 days · declining
  • Next: Blue band at 10,000 — 5,000 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-30

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.8%39.9%42.0%8.2% short
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.990.920.98meets
Match win rate44.7%42.3%43.8%above

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

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

Share this profile

CSDB.GGUziPREMIER5,000 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning48
Utility26

0–100 skill scores via Leetify.

Recent form

COLD45–54–1Last 10045%Win rateLLLWLWWLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · −64ms reaction

Win rate 0pp 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 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 477ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 474ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 506ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.7 against its own average).

Aim6.6
Utility2.6
Positioning4.8
Opening Duels0.0
Clutch6.0

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

b1t

Plays most like b1t 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

Counter-strafing. Only 69% 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

Aim6.6
Positioning4.8
Utility2.6
Mechanics4.2
Opening Duels0.5
Win Impact0.6

Composite 3.7/10 (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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time496ms−25ms
first ⅓ avg 521ms → last ⅓ avg 496ms
Headshot accuracy10.0%−0.2%
first ⅓ avg 10.2% → last ⅓ avg 10.0%

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

0.14Best match rating · 1–5 · anubis, 1 Oct →
27%Best headshot accuracy · 1–7 · italy, 12 Sept →
344msFastest reaction time · 7–13 · dust2, 18 Sept →
13–2Biggest win · dust2, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 63% over 8nukeWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C2611–1542%0.01
nukeD175–1229%0.01
mirageB147–750%0.01
infernoB126–650%0.03
cacheA106–460%0.03
anubisD103–730%0.02
ancientA85–363%0.03
train—11–0100%0.03
vertigo—11–0100%0.11
italy—10–10%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,560Lifetime kills
0.99K/D · Top 50% of Light Blue band
1,175Matches
44.7%Match win rate · Top 50% of Light Blue band
33.8%Headshot %
0.0%Shot accuracy
2,574MVPs
427Hours (in match)
832Bombs planted
335Bombs defused

Most-used weapons

Lifetime map wins

3,055dust2
1,237inferno
944nuke
292vertigo
128train
79office
1italy
1ar_shoots

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

Faceit stats

Combat

4Matches
0%Win rate
0.38Avg K/D
37.9ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
17%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke20%0.5412.5
Inferno10%0.335.0
Anubis10%0.132.0

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.

10.4%Headshot accuracy
36.9%Accuracy (enemy spotted)
40.9%Spray accuracy
68.8%Counter-strafing
9.9°Preaim
504msReaction time
25.2%T opening success
33.8%CT opening success
0.32Enemies flashed / flash
3.1%Flash assists
3.25HE damage / grenade
2.70Flashes / 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 10.3544% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3228 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 25.2019% — below the 40% mark we flag

Spend your practice time on Nuke

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–130.0316%31 Oct →
mirage8–130.0815%31 Oct →
nuke9–13-0.009%30 Oct →
cache13–30.109%30 Oct →
nuke3–13-0.056%30 Oct →
dust213–20.026%30 Oct →
inferno13–70.0914%29 Oct →
dust27–130.0314%28 Oct →
mirage8–13-0.062%24 Oct →
nuke10–13-0.0117%24 Oct →
anubis7–13-0.069%24 Oct →
dust213–110.0614%23 Oct →
cache13–110.0415%23 Oct →
inferno9–13-0.046%21 Oct →
dust22–13-0.0314%21 Oct →
ancient8–130.013%21 Oct →
mirage11–130.037%21 Oct →
dust211–13-0.0012%20 Oct →
nuke7–130.0314%20 Oct →
ancient13–100.1111%20 Oct →
dust22–13-0.054%20 Oct →
inferno10–13-0.022%18 Oct →
cache13–80.099%18 Oct →
mirage7–13-0.0313%17 Oct →
inferno9–13-0.036%16 Oct →
train13–100.0311%15 Oct →
ancient13–10-0.0021%14 Oct →
nuke13–80.0210%14 Oct →
anubis10–130.0513%14 Oct →
ancient13–90.088%14 Oct →
nuke11–130.0511%14 Oct →
ancient13–80.036%14 Oct →
cache13–8-0.036%14 Oct →
dust213–10-0.0311%14 Oct →
dust29–130.0312%13 Oct →
nuke13–100.0413%13 Oct →
cache5–130.058%13 Oct →
ancient16–130.0210%12 Oct →
anubis13–9-0.0114%11 Oct →
mirage3–13-0.017%11 Oct →
mirage13–10-0.039%10 Oct →
dust213–30.013%10 Oct →
dust213–50.1022%9 Oct →
cache15–15-0.0216%9 Oct →
anubis13–60.0312%9 Oct →
nuke4–13-0.0117%9 Oct →
cache13–50.0611%2 Oct →
mirage13–80.0411%2 Oct →
dust213–20.044%1 Oct →
anubis1–50.145%1 Oct →
cache6–13-0.018%1 Oct →
nuke3–13-0.0012%1 Oct →
dust24–130.0411%30 Sept →
dust211–13-0.013%30 Sept →
nuke13–60.0117%30 Sept →
ancient3–130.0016%30 Sept →
dust29–130.0416%29 Sept →
anubis6–13-0.0511%29 Sept →
dust213–90.0011%29 Sept →
inferno16–140.0611%29 Sept →
mirage9–13-0.0214%28 Sept →
mirage13–70.026%28 Sept →
vertigo13–40.1112%25 Sept →
dust27–13-0.068%18 Sept →
anubis5–130.013%18 Sept →
anubis13–100.038%18 Sept →
dust211–13-0.063%16 Sept →
nuke13–90.039%16 Sept →
mirage13–11-0.008%15 Sept →
inferno11–130.0615%15 Sept →
dust22–13-0.076%15 Sept →
mirage13–50.0416%15 Sept →
nuke10–130.0213%14 Sept →
nuke11–13-0.0211%14 Sept →
cache13–70.079%14 Sept →
italy1–70.0627%12 Sept →
nuke4–130.044%12 Sept →
mirage4–13-0.0326%11 Sept →
inferno13–60.0712%11 Sept →
dust213–80.006%11 Sept →
nuke13–110.059%11 Sept →
nuke17–19-0.018%11 Sept →
nuke4–13-0.069%10 Sept →
anubis8–130.082%10 Sept →
dust213–110.0915%9 Sept →
dust23–130.0613%8 Sept →
inferno8–13-0.065%8 Sept →
dust22–13-0.078%8 Sept →
dust216–130.0411%8 Sept →
mirage13–60.007%8 Sept →
cache9–13-0.015%8 Sept →
anubis14–160.016%7 Sept →
inferno10–130.0913%7 Sept →
ancient12–160.0112%7 Sept →
dust24–130.0210%7 Sept →
mirage13–60.128%7 Sept →
dust213–20.036%7 Sept →
inferno13–40.119%7 Sept →
inferno13–10-0.0211%6 Sept →
inferno13–50.059%6 Sept →

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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