Skully

Skully — CS2 Stats

76561199656295858[U:1:1696030130]Steam profile ↗✓ No bans

561Tracked matches43%Win rate2025Tracked since
545Hours in CS3Hrs last 2 wks
CSDB Rating4.1 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim60
Positioning49
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY4555Last 10045%Win rateLLWWLWWLLL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.0
Aggression6.4
Utility3.8
Positioning4.9
Opening Duels2.1
Clutch3.0

Strong CT-side opener

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 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

T-side openings. Opening success drops from 49% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.0
Positioning4.9
Utility3.8
Mechanics4.8
Opening Duels2.3
Win Impact2.8

Composite 4.1/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time530ms−35ms
first ⅓ avg 566ms → last ⅓ avg 530ms
Headshot accuracy18.7%+0.7%
first ⅓ avg 18.0% → 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

0.12Best rating — anubis 13–6
131Biggest win — anubis
4Longest win streak
L2Current streak
1213In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 59% over 27ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB32151747%-0.00
dust2A27161159%0.01
anubisD124833%0.01
ancientD112918%-0.01
infernoB84450%-0.00
nukeB63350%-0.02
cache21150%-0.01
overpass1010%0.07
train1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,656Lifetime kills
1.00K/D
573Matches
49.9%Match win rate · Top 25% of tracked players
47.6%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
1,401MVPs
244Hours (in match)
336Bombs planted
160Bombs defused

Most-used weapons

Lifetime map wins

1,630dust2
629nuke
624inferno
192train

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

Faceit stats

Combat

550Matches
50%Win rate
1.06Avg K/D
88.0ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage16951%1.0716.4
Dust213050%1.0716.5
Ancient6250%0.9815.3
Inferno5547%1.0817.1
Nuke5349%1.0716.6
Anubis3642%1.0515.7
Cache1753%1.0815.8
Train1553%1.0816.6

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.

18.8%Headshot accuracy
29.8%Accuracy (enemy spotted)
26.7%Spray accuracy
71.4%Counter-strafing
8.1°Preaim
526msReaction time
28.3%T opening success
48.6%CT opening success
0.51Enemies flashed / flash
1.1%Flash assists
6.94HE damage / grenade
5.93Flashes / 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 28.2521% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis8–130.0419%14 Aug
anubis4–130.0420%8 Aug
mirage16–13-0.0213%5 Aug
dust213–11-0.0420%5 Aug
dust21–13-0.099%3 Aug
inferno16–140.0427%1 Aug
anubis13–50.0014%31 Jul
mirage16–19-0.0219%30 Jul
anubis10–13-0.066%28 Jul
mirage9–13-0.0715%27 Jul
mirage9–130.0314%26 Jul
dust26–13-0.0327%26 Jul
mirage3–13-0.0317%25 Jul
inferno8–13-0.0115%25 Jul
anubis2–13-0.0233%24 Jul
ancient5–13-0.0320%24 Jul
mirage8–130.0610%21 Jul
dust26–13-0.0430%19 Jul
mirage13–50.007%19 Jul
dust213–80.0131%18 Jul
dust211–130.0215%18 Jul
mirage13–50.0023%18 Jul
mirage13–9-0.0331%17 Jul
nuke13–30.0420%15 Jul
anubis13–60.1228%12 Jul
mirage10–13-0.0220%12 Jul
mirage16–14-0.0517%1 Jul
dust211–13-0.0117%29 Jun
dust213–11-0.0519%28 Jun
mirage13–10-0.0414%28 Jun
mirage13–110.1014%28 Jun
ancient8–13-0.0114%26 Jun
ancient13–16-0.0118%26 Jun
dust213–4-0.0117%22 Jun
dust28–13-0.0311%21 Jun
inferno11–13-0.0215%19 Jun
inferno13–30.0634%19 Jun
ancient13–60.0513%19 Jun
ancient7–13-0.0410%17 Jun
anubis7–13-0.049%15 Jun
cache8–130.0216%13 Jun
inferno13–110.0422%13 Jun
nuke18–22-0.0116%13 Jun
anubis7–13-0.0516%13 Jun
mirage13–11-0.0215%10 Jun
dust213–7-0.0218%8 Jun
mirage13–70.0924%8 Jun
mirage21–25-0.049%7 Jun
anubis2–13-0.0814%6 Jun
anubis13–10.0824%6 Jun
cache13–11-0.0410%6 Jun
mirage8–13-0.0311%23 May
anubis11–13-0.0411%17 May
nuke13–7-0.0011%17 May
mirage13–30.0320%13 May
dust211–130.0118%4 Dec
overpass14–160.0716%3 Dec
dust213–5-0.0415%30 Nov
train11–13-0.0125%29 Nov
mirage11–13-0.0413%28 Nov
dust213–20.0525%26 Nov
dust27–13-0.0126%26 Nov
dust213–80.0330%25 Nov
nuke13–7-0.0310%25 Nov
mirage6–13-0.0219%24 Nov
dust213–30.0317%23 Nov
mirage13–10-0.0416%23 Nov
ancient13–11-0.0613%20 Nov
mirage13–10.1016%20 Nov
ancient8–130.0217%20 Nov
mirage11–13-0.039%16 Nov
mirage13–8-0.0422%16 Nov
mirage6–13-0.0321%14 Nov
mirage13–20.1027%14 Nov
dust213–60.0827%13 Nov
inferno8–13-0.0918%13 Nov
dust213–90.0415%9 Nov
dust216–140.0116%8 Nov
dust213–110.0315%3 Nov
ancient11–130.0516%28 Oct
mirage17–19-0.0216%27 Oct
dust29–130.0919%26 Oct
dust213–70.0728%21 Oct
nuke10–13-0.0417%20 Oct
mirage5–130.0316%20 Oct
inferno13–70.0215%20 Oct
dust217–190.0427%19 Oct
ancient7–130.0215%15 Oct
inferno12–16-0.056%27 Sept
dust213–110.0627%27 Sept
ancient6–13-0.0125%27 Sept
mirage13–16-0.0322%25 Sept
mirage11–13-0.0422%21 Sept
mirage8–13-0.0021%20 Sept
dust213–90.0714%31 Aug
dust21–13-0.0115%26 Aug
mirage13–5-0.0515%21 Aug
ancient7–13-0.0511%20 Aug
anubis13–70.1016%20 Aug
nuke9–13-0.0715%18 Aug

Match data via Leetify.

Milestones

500 Matches
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