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UFOsAreReal67 — CS2 Stats

76561198966621418[U:1:1006355690]

460Tracked matches75%Win rate2020Tracked since
CSDB Rating6.6 SolidHybrid Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGUFOsAreReal67FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning55
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY65–24–11Last 10065%Win rateLWLWWWWLWW

Last 10 vs previous 10: -10pp win rate · -0.06 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.6
Aggression6.5
Utility7.0
Positioning5.5
Opening Duels2.8

Effective flashesLimited 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.

Your pro match

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Areas to improve

Reaction time. 591ms 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

Aim6.6
Positioning5.5
Utility7.0
Mechanics8.0
Opening Duels2.8
Win Impact10.0

Composite 6.6/10 (Solid), 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 rating0.04−0.02
first ⅓ avg 0.06 → last ⅓ avg 0.04
Reaction time586ms+21ms
first ⅓ avg 565ms → last ⅓ avg 586ms
Headshot accuracy15.9%+5.1%
first ⅓ avg 10.8% → last ⅓ avg 15.9%

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.

Highlights

0.25Best rating — nuke 16–1
16–0Biggest win — office
7Longest win streak
6–5In matches decided by ≤2 rounds
34Overtime games

Map breakdown

officeBest map · 83% over 6dust2Weakest map · 50% over 16
MapGradePlayedRecordWin rateAvg rating
nukeA3823–1561%0.06
infernoS2016–480%0.04
dust2B168–850%0.02
cacheS96–367%0.02
officeS65–183%0.02
vertigo—33–0100%0.05
mirage—21–150%-0.01
agency—21–150%0.07
ancient—11–0100%-0.01
anubis—11–0100%0.07
train—10–10%0.05
basalt—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 16). Start with the 6 essential Dust 2 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.

17.2%Headshot accuracy
34.3%Accuracy (enemy spotted)
36.1%Spray accuracy
86.1%Counter-strafing
11.7°Preaim
591msReaction time
34.6%T opening success
48.0%CT opening success
0.72Enemies flashed / flash
5.4%Flash assists
6.90HE damage / grenade
3.36Flashes / 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. Grenades & Utility

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

    Flashes per match 3.3638 — below the 4 mark we flag

    Grenade Lineups →
  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 34.5751% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno7–130.019%25 Jan →
vertigo13–10.0135%28 Dec →
mirage14–16-0.0312%25 Dec →
nuke13–30.0823%9 Oct →
ancient13–11-0.0125%8 Oct →
inferno13–70.0713%8 Oct →
dust213–5-0.0316%8 Oct →
dust29–130.0219%2 Aug →
office13–5-0.0930%2 Aug →
office13–90.0020%4 Jun →
dust213–60.0925%10 May →
office13–100.0426%10 May →
dust213–4-0.0035%30 Apr →
nuke10–13-0.0020%18 Apr →
anubis13–60.0717%18 Apr →
nuke9–130.0519%18 Apr →
nuke10–30.0513%18 Apr →
nuke9–50.1512%26 Mar →
dust29–00.128%26 Mar →
inferno9–40.0610%26 Mar →
cache7–9-0.0517%26 Mar →
office9–50.099%26 Mar →
dust28–80.0110%26 Mar →
nuke9–50.028%26 Mar →
office8–8-0.0316%18 Sept →
nuke9–50.062%18 Sept →
nuke9–20.2411%18 Sept →
nuke9–00.1923%18 Sept →
nuke4–9-0.015%18 Aug →
nuke9–60.0410%17 Aug →
inferno3–9-0.098%28 Jun →
nuke8–80.1311%24 Jun →
nuke9–20.068%19 Jan →
nuke9–60.0718%13 Jan →
nuke0–9-0.050%13 Jan →
nuke9–50.1014%13 Jan →
nuke9–30.258%13 Jan →
nuke9–30.0811%13 Jan →
cache8–80.025%13 Jan →
dust29–50.0716%13 Jan →
nuke9–70.0711%13 Jan →
nuke9–30.1212%13 Jan →
nuke8–80.056%13 Jan →
nuke9–00.1012%13 Jan →
inferno16–80.0411%13 Jan →
nuke14–16-0.013%13 Jan →
cache5–90.0620%13 Jan →
dust25–9-0.020%13 Jan →
dust27–90.1014%13 Jan →
nuke8–80.088%13 Jan →
inferno8–8-0.0910%12 Jan →
dust23–9-0.034%11 Jan →
nuke5–90.047%11 Jan →
inferno16–50.1310%10 Jan →
dust215–15-0.0511%10 Jan →
nuke3–16-0.016%10 Jan →
dust210–160.008%10 Jan →
cache16–11-0.039%9 Jan →
nuke6–9-0.0913%9 Jan →
vertigo9–6-0.026%9 Jan →
cache9–60.0414%9 Jan →
cache16–120.058%9 Jan →
mirage16–80.0214%9 Jan →
nuke16–140.036%9 Jan →
nuke2–16-0.075%9 Jan →
dust213–16-0.007%9 Jan →
nuke16–100.099%8 Jan →
inferno16–140.015%8 Jan →
cache16–60.039%8 Jan →
agency15–150.076%8 Jan →
nuke16–10.2513%8 Jan →
inferno12–5-0.0011%8 Jan →
inferno15–150.0712%7 Jan →
inferno16–130.0310%7 Jan →
vertigo16–10.152%7 Jan →
inferno16–50.0510%7 Jan →
cache16–140.0010%6 Jan →
inferno16–60.0812%6 Jan →
nuke16–60.0513%6 Jan →
nuke5–9-0.054%6 Jan →
inferno16–40.077%6 Jan →
dust29–30.0119%6 Jan →
dust216–12-0.0010%6 Jan →
train14–160.0512%6 Jan →
inferno9–20.144%6 Jan →
office16–00.1121%6 Jan →
nuke9–10.0218%6 Jan →
basalt5–90.0313%5 Jan →
nuke9–30.076%5 Jan →
nuke6–90.019%5 Jan →
inferno16–90.027%5 Jan →
inferno16–70.097%5 Jan →
inferno2–00.000%5 Jan →
agency9–10.0727%5 Jan →
cache16–30.0711%5 Jan →
nuke9–10.0824%5 Jan →
dust216–130.0111%5 Jan →
nuke8–80.1211%5 Jan →
inferno9–50.158%5 Jan →
inferno16–120.0614%5 Jan →

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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