✪ uniq

✪ uniq — CS2 Stats

FI76561198086918123[U:1:126652395]Steam profile ↗✓ No bans

1,219Tracked matches40%Win rate2020Tracked since
3,279Hours in CS
CSDB Rating4.7 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,219 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,557 +7,142 20 Jun – 28 Aug · 7 days played
15,86124,557peak 24,55720 Jun28 Aug
Faceit ELO: 2,233 +0 1 Sept – 19 Sept · 3 observations
2,2332,233peak 2,2331 Sept19 Sept
24,557Peak Premier in tracked matches
2,233Highest Faceit ELO seen on CSDB
65Days played since 2024-05-05

Faceit ELO

  • At peak — 2,233
  • Next: 2,500 ELO at 2,500 — 267 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG✪ uniqPEAK ELO2,233csdb.gg/stats

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Performance scores

Aim72
Positioning44
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLLWWLLWLLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +6.0pp headshot accuracy · +15ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 563ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

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 (+1.4 against its own average).

Aim7.2
Utility4.6
Positioning4.4
Opening Duels0.9
Clutch2.8

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 563ms 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

Aim7.2
Positioning4.4
Utility4.6
Mechanics4.5
Opening Duels0.9
Win Impact1.7

Composite 4.7/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time578ms−2ms
first ⅓ avg 580ms → last ⅓ avg 578ms
Headshot accuracy21.5%+3.8%
first ⅓ avg 17.6% → last ⅓ avg 21.5%

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 · 13–10 · inferno, 16 Oct →
46%Best headshot accuracy · 13–9 · mirage, 9 Mar →
422msFastest reaction time · 13–4 · inferno, 12 Feb →
13–1Biggest win · ancient, 21 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
13–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 67% over 6nukeWeakest map · 45% over 20
MapGradePlayedRecordWin rateAvg rating
infernoB2110–1148%-0.00
nukeB209–1145%-0.01
ancientA148–657%0.00
anubisB126–650%0.01
overpassA95–456%0.02
dust2A95–456%-0.00
mirageS64–267%0.01
trainA53–260%0.00
vertigo—32–167%-0.01
cache—11–0100%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,368Lifetime kills
1.14K/D · Top 25% of tracked players
6,060Matches
45.6%Match win rate · Top 50% of tracked players
39.5%Headshot %
16.2%Shot accuracy · Top 25% of tracked players
13,534MVPs
3,279Hours (in match)
5,891Bombs planted
1,668Bombs defused

Most-used weapons

AK-4733,980
AWP27,655
MP72,638
Knife1,990
MP91,675

Lifetime map wins

18,362inferno
6,302dust2
6,064nuke
4,767train
2,331vertigo
2,082cbble
467office
268italy

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

Faceit stats

Combat

2,429Matches
51%Win rate
1.15Avg K/D
76.7ADR
40%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno16753%1.1515.5
Nuke15162%1.1415.4
Anubis10446%1.0615.4
Ancient6951%0.9614.4
Train5956%1.1615.4
Overpass5753%1.0716.3
Dust24533%0.9113.6
Vertigo4151%1.0216.1

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.

20.9%Headshot accuracy
32.2%Accuracy (enemy spotted)
35.7%Spray accuracy
70.2%Counter-strafing
7.1°Preaim
563msReaction time
25.6%T opening success
36.9%CT opening success
0.55Enemies flashed / flash
4.6%Flash assists
7.57HE damage / grenade
5.36Flashes / 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

    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 25.5733% — 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.

45% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0823%4 Sept →
nuke8–13-0.0315%24 May →
mirage13–100.0028%29 Apr →
cache13–11-0.0421%26 Apr →
overpass7–13-0.049%20 Apr →
anubis6–13-0.0238%5 Apr →
nuke13–110.0419%26 Mar →
dust211–13-0.0513%14 Mar →
nuke5–13-0.0516%9 Mar →
mirage13–90.0646%9 Mar →
overpass9–13-0.0712%4 Mar →
inferno14–16-0.0613%26 Feb →
mirage10–13-0.0120%13 Feb →
inferno13–40.0819%12 Feb →
anubis13–11-0.0012%9 Feb →
anubis13–160.0318%9 Feb →
dust29–13-0.0321%7 Feb →
nuke13–70.0411%27 Jan →
ancient11–13-0.0222%27 Jan →
inferno13–100.0522%27 Jan →
overpass13–40.0125%9 Jan →
ancient8–13-0.0321%26 Dec →
dust25–13-0.0628%28 Nov →
train3–13-0.0624%30 Oct →
inferno7–13-0.0115%30 Oct →
overpass16–140.0136%11 Oct →
inferno13–9-0.0413%6 Sept →
overpass13–160.0222%28 Aug →
nuke11–130.0127%26 Aug →
ancient5–20.0212%26 Aug →
mirage13–100.0625%26 Aug →
dust213–100.0526%26 Aug →
mirage6–13-0.0136%26 Aug →
overpass13–90.1023%26 Aug →
train8–13-0.0437%23 Aug →
inferno13–6-0.056%22 Aug →
overpass13–110.0328%15 Aug →
nuke13–7-0.0132%2 Aug →
overpass13–70.0522%2 Aug →
overpass5–130.0631%1 Aug →
inferno10–130.0918%1 Aug →
dust25–130.0021%29 Jul →
nuke7–130.0022%23 Jun →
inferno7–13-0.0614%23 Jun →
inferno10–13-0.0021%22 Jun →
dust213–11-0.0223%22 Jun →
inferno8–13-0.0235%7 Jun →
anubis11–13-0.0615%28 May →
ancient13–100.0226%11 May →
inferno13–60.0213%9 May →
nuke6–13-0.0110%3 May →
anubis16–130.0314%18 Apr →
nuke13–4-0.0237%18 Apr →
inferno7–13-0.0723%17 Apr →
anubis13–100.0218%17 Apr →
inferno13–11-0.0210%11 Apr →
inferno9–13-0.0325%12 Mar →
ancient2–13-0.0930%22 Feb →
nuke3–13-0.0119%14 Jan →
inferno13–100.0913%3 Jan →
nuke13–50.0725%3 Jan →
train13–60.0424%28 Dec →
inferno13–16-0.0121%28 Dec →
dust213–110.0431%21 Dec →
nuke8–13-0.0726%21 Dec →
inferno13–110.0425%21 Dec →
train13–110.0426%21 Dec →
ancient13–110.0128%21 Dec →
train13–60.0216%19 Dec →
ancient19–16-0.0118%14 Dec →
dust213–80.0210%30 Oct →
nuke13–80.0518%25 Oct →
ancient11–13-0.087%19 Oct →
ancient13–60.0627%19 Oct →
anubis13–50.0625%19 Oct →
anubis13–9-0.0112%19 Oct →
inferno13–100.1423%16 Oct →
inferno13–2-0.0014%16 Oct →
anubis14–160.0813%16 Oct →
nuke9–13-0.0110%12 Oct →
ancient14–160.0313%12 Oct →
nuke7–13-0.0414%5 Oct →
ancient11–13-0.009%5 Oct →
nuke16–140.0313%5 Oct →
anubis1–13-0.065%4 Oct →
anubis9–13-0.037%17 Aug →
vertigo13–110.0329%27 Jul →
inferno6–13-0.0628%18 Jul →
nuke13–10-0.0116%15 Jul →
ancient13–50.0117%15 Jul →
anubis13–50.0632%1 Jul →
mirage13–10-0.0123%22 Jun →
nuke13–9-0.0513%22 Jun →
nuke8–13-0.088%21 Jun →
ancient13–10.0512%21 Jun →
vertigo1–9-0.047%21 Jun →
dust212–40.0230%20 Jun →
ancient13–70.0929%20 Jun →
nuke11–130.0133%9 May →
vertigo13–8-0.0224%5 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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