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cuteSKY

cuteSKY — CS2 Stats

KP76561198000639740[U:1:40374012]Steam profile ↗

1,783Tracked matches31%Win rate2022Tracked since
1,683Hours in CS
CSDB Rating4.2 Developing
Ladder ranks via Leetify

Performance scores

Aim58
Positioning43
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY30–59–11Last 10030%Win rateTLLWWLWLWL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim5.8
Aggression5.3
Utility3.4
Positioning4.3
Opening Duels0.4
Clutch0.0

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 78% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 675ms 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

Aim5.8
Positioning4.3
Utility3.4
Mechanics7.2
Opening Duels0.4
Win Impact0.0

Composite 4.2/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time669ms+11ms
first ⅓ avg 658ms → last ⅓ avg 669ms
Headshot accuracy13.5%−0.1%
first ⅓ avg 13.6% → last ⅓ avg 13.5%

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.

Highlights

0.10Best rating — inferno 13–7
13–0Biggest win — ancient
3Longest win streak
4–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 45% over 22anubisWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D255–2020%-0.03
infernoB2210–1245%-0.02
mirageC146–843%-0.03
cacheB115–645%-0.03
ancientD92–722%-0.05
anubisD60–60%-0.04
nuke—42–250%-0.01
overpass—30–30%-0.05
train—20–20%-0.01
vertigo—20–20%-0.03
office—10–10%-0.06
alpine—10–10%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,014Lifetime kills
1.33K/D · Top 10% of tracked players
4,286Matches
37.6%Match win rate
43.7%Headshot %
1.1%Shot accuracy
5,338MVPs
1,683Hours (in match)
3,277Bombs planted
461Bombs defused

Most-used weapons

AK-4764,244
M4A4 / M4A1-S27,857
Galil AR7,461
Desert Eagle5,235
P2000 / USP-S4,742
MP94,151
FAMAS2,811
Glock-182,023
MAC-101,798
SSG 081,641

Lifetime map wins

9,322dust2
3,866inferno
1,871nuke
1,458vertigo
1,012train
393office
166italy
27lake

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

Faceit stats

Combat

2Matches
50%Win rate
0.73Avg K/D
72.5ADR
46%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.385.0
Mirage1100%1.0813.0

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.

14.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.7%Spray accuracy
82.4%Counter-strafing
9.8°Preaim
675msReaction time
30.6%T opening success
32.6%CT opening success
0.47Enemies flashed / flash
2.2%Flash assists
6.99HE damage / grenade
3.66Flashes / 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 14.5405% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4659 — below the 0.5 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 30.6348% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–120.0112%29 Aug →
nuke7–130.0211%29 Aug →
dust210–13-0.0210%26 Aug →
dust213–5-0.0022%26 Aug →
dust213–90.0518%20 Aug →
dust29–13-0.0519%20 Aug →
mirage13–50.0319%20 Aug →
dust20–70.0517%20 Aug →
cache13–6-0.0723%19 Aug →
ancient4–130.0017%19 Aug →
inferno6–13-0.0417%18 Aug →
dust25–13-0.0831%14 Aug →
inferno13–70.1016%14 Aug →
train10–13-0.0329%11 Aug →
ancient8–130.0110%6 Aug →
inferno13–10-0.079%31 Jul →
mirage1–13-0.066%31 Jul →
dust210–13-0.0912%31 Jul →
ancient8–13-0.0913%29 Jul →
ancient1–8-0.060%27 Jul →
inferno10–130.019%26 Jul →
inferno2–13-0.030%25 Jul →
anubis9–13-0.0513%25 Jul →
mirage12–12-0.0417%25 Jul →
dust24–13-0.0612%25 Jul →
vertigo12–12-0.0219%23 Jul →
anubis6–13-0.088%23 Jul →
inferno12–12-0.046%22 Jul →
dust213–80.0215%22 Jul →
nuke13–11-0.0714%22 Jul →
mirage7–13-0.046%22 Jul →
cache13–9-0.029%22 Jul →
inferno13–11-0.047%22 Jul →
mirage13–80.029%22 Jul →
dust20–6-0.110%22 Jul →
dust21–13-0.085%22 Jul →
mirage12–12-0.067%22 Jul →
inferno12–12-0.0222%20 Jul →
train11–130.018%20 Jul →
cache2–13-0.0519%20 Jul →
dust20–4-0.090%19 Jul →
dust212–12-0.0512%19 Jul →
mirage10–13-0.041%19 Jul →
dust213–5-0.0614%19 Jul →
dust212–120.0329%19 Jul →
dust28–13-0.0616%19 Jul →
ancient2–13-0.0214%19 Jul →
ancient8–13-0.069%19 Jul →
vertigo3–13-0.0428%19 Jul →
inferno5–13-0.059%19 Jul →
dust24–13-0.0512%17 Jul →
dust212–120.1017%17 Jul →
cache6–13-0.0724%16 Jul →
mirage1–11-0.060%15 Jul →
inferno13–100.0317%15 Jul →
office3–13-0.0614%13 Jul →
cache5–13-0.0817%9 Jul →
alpine11–13-0.018%8 Jul →
inferno13–50.0921%8 Jul →
cache13–110.0113%8 Jul →
nuke0–13-0.020%8 Jul →
dust25–13-0.0924%8 Jul →
inferno13–20.0313%7 Jul →
cache13–90.0618%7 Jul →
cache8–13-0.0214%7 Jul →
inferno0–13-0.120%6 Jul →
inferno16–14-0.0613%6 Jul →
overpass11–13-0.0713%6 Jul →
anubis12–12-0.058%5 Jul →
cache11–13-0.0313%3 Jul →
inferno13–70.0318%3 Jul →
dust24–13-0.0312%2 Jul →
mirage8–13-0.057%2 Jul →
cache13–40.0011%2 Jul →
dust213–30.0516%2 Jul →
anubis11–13-0.0510%29 Jun →
ancient7–13-0.099%29 Jun →
inferno9–13-0.0715%25 Jun →
anubis10–13-0.0112%25 Jun →
mirage13–8-0.039%24 Jun →
inferno8–13-0.054%17 Jun →
inferno13–9-0.0131%16 Jun →
overpass5–13-0.080%16 Jun →
mirage8–20.0313%16 Jun →
cache8–13-0.0715%16 Jun →
ancient13–0-0.0725%15 Jun →
dust25–13-0.0321%15 Jun →
inferno3–13-0.0412%15 Jun →
inferno13–3-0.0219%8 Jun →
mirage6–13-0.128%8 Jun →
mirage13–10-0.0112%7 Jun →
dust26–13-0.0215%6 Jun →
inferno8–130.006%6 Jun →
ancient13–6-0.0815%3 Jun →
dust211–13-0.019%3 Jun →
mirage10–130.0414%2 Jun →
inferno8–130.0219%2 Jun →
dust26–130.0317%2 Jun →
nuke13–20.0416%2 Jun →
overpass12–12-0.0026%24 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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