uFARlig^

uFARlig^ — CS2 Stats

76561197998096183[U:1:37830455]Steam profile ↗✓ No bans

373Tracked matches53%Win rate2026Tracked since
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating4,880Grey band · top ~79.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 4,880 -1,670 26 Jul – 4 Nov · 55 days played
3,9897,187peak 7,18726 Jul4 Nov
7,195Peak Premier in tracked matches
56Days played since 2026-07-26

Premier CS Rating

  • 2,307 below peak (7,187)
  • +70 over 30 days · steady
  • -833 over 90 days
  • Next: Light Blue band at 5,000 — 120 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.

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CSDB.GGuFARlig^PREMIER4,880 · Grey bandcsdb.gg/stats

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Performance scores

Aim55
Positioning45
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateLWLWLLWWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +1.6pp headshot accuracy · +4ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 602ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 628ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 626ms

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).

Aim5.5
Utility4.4
Positioning4.5
Opening Duels0.4

Strong CT-side openerLimited 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

iM

Plays most like iM 86% 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

T-side openings. Opening success drops from 46% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim5.5
Positioning4.5
Utility4.4
Mechanics4.6
Opening Duels2.0
Win Impact6.1

Composite 4.2/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time607ms−24ms
first ⅓ avg 631ms → last ⅓ avg 607ms
Headshot accuracy9.7%−1.1%
first ⅓ avg 10.8% → last ⅓ avg 9.7%

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

0.15Best match rating · 13–6 · inferno, 16 Aug →
27%Best headshot accuracy · 5–13 · ancient, 31 Jul →
406msFastest reaction time · 13–4 · inferno, 27 Sept →
13–3Biggest win · dust2, 17 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 61% over 28ancientWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
infernoA2817–1161%0.00
ancientD152–1313%-0.03
mirageC146–843%-0.01
nukeB137–654%-0.01
anubisB115–645%-0.02
dust2C94–544%-0.00
cacheC94–544%-0.00
office—10–10%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.1%Headshot accuracy
39.0%Accuracy (enemy spotted)
38.8%Spray accuracy
70.7%Counter-strafing
11.1°Preaim
599msReaction time
21.9%T opening success
45.9%CT opening success
0.58Enemies flashed / flash
3.5%Flash assists
11.67HE damage / grenade
3.30Flashes / 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 10.1459% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2951 — below the 4 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 21.8654% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.098%4 Nov →
dust213–11-0.049%3 Nov →
dust29–13-0.0311%27 Oct →
nuke13–110.029%26 Oct →
mirage10–13-0.0511%26 Oct →
mirage10–13-0.0317%21 Oct →
mirage16–130.0015%18 Oct →
dust213–100.0311%17 Oct →
inferno13–110.0512%17 Oct →
dust213–30.109%17 Oct →
ancient6–13-0.088%17 Oct →
dust213–30.0416%13 Oct →
inferno13–11-0.058%12 Oct →
ancient8–130.067%12 Oct →
dust29–130.0113%11 Oct →
mirage7–13-0.046%11 Oct →
cache11–13-0.0210%8 Oct →
inferno13–80.0212%8 Oct →
dust211–13-0.038%7 Oct →
inferno13–50.059%7 Oct →
cache16–140.038%1 Oct →
anubis10–13-0.0712%30 Sept →
anubis13–9-0.0517%29 Sept →
cache9–13-0.037%28 Sept →
dust210–13-0.0412%28 Sept →
mirage10–13-0.089%27 Sept →
inferno13–40.039%27 Sept →
ancient13–5-0.035%21 Sept →
mirage13–60.059%20 Sept →
mirage13–7-0.016%20 Sept →
inferno13–7-0.009%19 Sept →
nuke13–11-0.017%19 Sept →
mirage13–10-0.013%18 Sept →
nuke8–13-0.0512%18 Sept →
ancient14–16-0.044%17 Sept →
nuke8–13-0.0116%17 Sept →
mirage10–130.0412%17 Sept →
office12–120.0711%15 Sept →
nuke7–13-0.0212%14 Sept →
dust211–13-0.056%14 Sept →
inferno13–7-0.022%10 Sept →
inferno13–100.0110%9 Sept →
nuke13–50.037%9 Sept →
nuke12–16-0.062%7 Sept →
inferno10–13-0.059%6 Sept →
mirage13–9-0.0112%6 Sept →
anubis7–13-0.0411%5 Sept →
anubis11–13-0.057%5 Sept →
cache15–150.0113%4 Sept →
inferno14–160.003%4 Sept →
anubis13–5-0.014%3 Sept →
inferno13–3-0.0112%3 Sept →
ancient6–130.0411%1 Sept →
inferno13–6-0.023%1 Sept →
ancient9–13-0.098%31 Aug →
ancient11–13-0.095%31 Aug →
inferno11–13-0.059%30 Aug →
cache13–110.009%28 Aug →
ancient10–130.0019%28 Aug →
nuke15–15-0.0010%21 Aug →
cache2–13-0.069%21 Aug →
mirage6–13-0.0310%20 Aug →
anubis12–16-0.019%20 Aug →
ancient9–13-0.0811%19 Aug →
nuke8–13-0.047%19 Aug →
nuke16–140.0214%18 Aug →
mirage9–13-0.007%17 Aug →
nuke16–12-0.0012%17 Aug →
inferno9–13-0.0713%16 Aug →
inferno13–60.158%16 Aug →
inferno3–13-0.0922%16 Aug →
inferno13–90.0717%14 Aug →
nuke13–100.0010%14 Aug →
ancient8–13-0.0420%13 Aug →
anubis13–90.0410%12 Aug →
anubis13–5-0.063%10 Aug →
nuke13–40.0713%10 Aug →
mirage7–13-0.0113%10 Aug →
inferno13–70.0010%9 Aug →
cache13–80.049%7 Aug →
anubis15–150.046%7 Aug →
inferno13–40.099%6 Aug →
inferno5–13-0.0210%6 Aug →
inferno10–13-0.077%4 Aug →
mirage13–80.0415%4 Aug →
ancient13–90.0610%4 Aug →
ancient15–15-0.055%4 Aug →
cache13–70.0210%3 Aug →
inferno10–13-0.0118%2 Aug →
inferno13–10-0.055%1 Aug →
ancient6–13-0.0710%1 Aug →
inferno10–130.0216%31 Jul →
ancient5–13-0.0227%31 Jul →
inferno13–60.026%28 Jul →
inferno13–100.079%27 Jul →
inferno7–13-0.038%27 Jul →
cache8–13-0.003%26 Jul →
anubis13–60.108%26 Jul →
inferno5–13-0.029%26 Jul →
ancient6–130.026%26 Jul →

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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