☂ (1)

☂ (1) — CS2 Stats

DE76561198409077504[U:1:448811776]Steam profile ↗

469Tracked matches62%Win rate2020Tracked since
CSDB Rating5.2 DevelopingHybrid Rifler
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim68
Positioning38
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateWWLWLWWLLL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression4.9
Utility3.5
Positioning3.8
Opening Duels1.2

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.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 574ms 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

Aim6.8
Positioning3.8
Utility3.5
Mechanics5.5
Opening Duels1.8
Win Impact9.0

Composite 5.2/10 (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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time572ms−52ms
first ⅓ avg 624ms → last ⅓ avg 572ms
Headshot accuracy18.7%+2.3%
first ⅓ avg 16.4% → last ⅓ avg 18.7%

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.

Highlights

0.10Best rating — overpass 13–6
131Biggest win — nuke
6Longest win streak
W2Current streak
87In matches decided by ≤2 rounds
4Overtime games

Map breakdown

officeBest map · 86% over 7vertigoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
anubisD1551033%-0.03
dust2C145936%-0.02
infernoC125742%-0.02
vertigoD103730%-0.02
ancientS97278%-0.00
cacheD93633%0.03
mirageS86275%-0.02
officeS76186%-0.02
nukeB63350%-0.03
trainC52340%-0.02
overpass43175%0.04
debris1010%-0.10

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Vertigo 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.

18.9%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.1%Spray accuracy
74.9%Counter-strafing
9.3°Preaim
574msReaction time
25.6%T opening success
44.4%CT opening success
0.39Enemies flashed / flash
4.7%Flash assists
10.19HE damage / grenade
2.36Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3857 — below the 0.5 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 25.6321% — below the 40% mark we flag

Spend your practice time on Vertigo

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0320%28 Aug
dust213–5-0.0417%21 Aug
train10–13-0.0115%12 Aug
train4–10.0220%12 Aug
debris3–9-0.106%8 Aug
inferno13–9-0.0635%8 Aug
mirage13–6-0.1018%8 Aug
ancient11–13-0.0325%6 Aug
anubis14–16-0.0119%1 Aug
anubis2–13-0.0217%1 Aug
mirage8–13-0.0517%1 Aug
vertigo13–2-0.0225%31 Jul
vertigo13–30.0519%31 Jul
vertigo1–13-0.0316%31 Jul
cache7–13-0.0022%31 Jul
dust24–13-0.0520%31 Jul
anubis6–13-0.068%26 Jul
anubis13–4-0.0615%26 Jul
anubis13–7-0.0119%26 Jul
anubis3–13-0.0912%25 Jul
mirage16–130.0218%16 Jul
dust216–12-0.0313%16 Jul
ancient13–6-0.0020%16 Jul
office13–110.0921%12 Jul
office13–11-0.069%12 Jul
cache13–70.0923%7 Jul
cache9–130.1027%6 Jul
mirage13–30.0021%24 Jun
cache12–120.0416%24 Jun
cache13–80.0122%24 Jun
train13–8-0.0622%20 Jun
vertigo7–13-0.0621%3 Jun
dust26–13-0.0122%1 Jun
inferno9–13-0.0614%28 May
cache8–13-0.0910%28 May
anubis11–13-0.066%28 May
mirage13–4-0.0123%22 May
office13–5-0.0411%17 May
office13–11-0.0219%13 May
ancient13–8-0.0116%7 May
inferno5–9-0.0810%7 May
cache5–130.0317%1 May
cache13–30.0418%1 May
cache6–130.0123%1 May
train12–12-0.0413%28 Apr
anubis13–50.0420%18 Apr
inferno13–110.0612%18 Apr
vertigo9–50.0224%12 Apr
vertigo7–13-0.0541%12 Apr
vertigo1–13-0.058%12 Apr
vertigo3–13-0.0812%12 Apr
anubis7–13-0.0313%6 Apr
anubis13–100.0124%5 Apr
vertigo6–9-0.0221%1 Apr
anubis6–13-0.0819%1 Apr
mirage9–130.0113%31 Mar
nuke7–13-0.0821%28 Mar
anubis5–13-0.0216%28 Mar
inferno7–130.0514%27 Mar
mirage13–8-0.006%26 Mar
ancient13–90.0111%26 Mar
ancient13–90.0613%26 Mar
inferno9–6-0.0212%18 Mar
office13–5-0.0110%18 Mar
office9–13-0.0714%18 Mar
inferno9–70.0914%7 Mar
nuke9–13-0.0313%4 Mar
overpass6–13-0.0011%4 Mar
train4–130.0126%27 Feb
anubis11–13-0.0415%22 Feb
ancient9–130.0314%15 Feb
dust27–13-0.0126%11 Feb
ancient13–5-0.0316%11 Feb
anubis4–13-0.0213%11 Feb
nuke13–70.0314%11 Feb
ancient13–110.0012%11 Feb
vertigo5–13-0.0222%11 Feb
inferno8–80.0723%11 Feb
ancient13–11-0.0518%10 Feb
overpass13–40.0522%9 Feb
dust22–13-0.0131%9 Feb
inferno1–9-0.200%8 Feb
inferno10–13-0.0110%6 Feb
nuke11–130.0413%4 Feb
dust211–13-0.0223%4 Feb
nuke13–10.0015%4 Feb
dust26–13-0.0317%1 Feb
nuke13–7-0.1213%1 Feb
inferno13–100.0211%1 Feb
dust27–13-0.0621%1 Feb
dust213–90.0215%1 Feb
office13–9-0.0216%24 Jan
dust28–13-0.0119%24 Jan
anubis16–13-0.0314%24 Jan
dust213–7-0.0713%23 Jan
overpass13–9-0.0115%20 Jan
dust211–13-0.0214%8 Jan
overpass13–60.1023%8 Jan
dust213–50.0416%8 Jan
inferno6–13-0.0511%24 Dec

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 →