Крила — CS2 Stats

76561199860419309[U:1:1900153581]

406Tracked matches66%Win rate2025Tracked since
498Hours in CS1Hrs last 2 wks
CSDB Rating4.4 Developing
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim24
Positioning37
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY464212Last 10046%Win rateWWWLWTWWLL

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

Player DNA

Aim2.4
Aggression3.9
Utility6.0
Positioning3.7
Opening Duels1.0

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 77% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 731ms 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

Aim2.4
Positioning3.7
Utility6.0
Mechanics6.0
Opening Duels1.1
Win Impact10.0

Composite 4.4/10 (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+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time730ms−26ms
first ⅓ avg 756ms → last ⅓ avg 730ms
Headshot accuracy17.2%+0.6%
first ⅓ avg 16.6% → last ⅓ avg 17.2%

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

0.07Best rating — cache 13–0
130Biggest win — cache
5Longest win streak
W3Current streak
83In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 77% over 13infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
cacheB29131645%-0.02
dust2S1310377%-0.05
infernoD102820%-0.07
mirageA95456%-0.02
overpassS96367%-0.03
nukeC83538%-0.05
anubisB84450%-0.03
ancient41325%-0.06
poseidon31233%-0.10
train31233%-0.06
office2020%-0.04
fachwerk1010%-0.07
shelter1010%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,481Lifetime kills
0.80K/D
461Matches
41.9%Match win rate
45.2%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
673MVPs
151Hours (in match)
375Bombs planted
89Bombs defused

Most-used weapons

Lifetime map wins

617dust2
409inferno
368train
316nuke
112office
8vertigo
4ar_baggage
2ar_shoots

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

Skill profile

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

16.8%Headshot accuracy
23.3%Accuracy (enemy spotted)
24.9%Spray accuracy
76.8%Counter-strafing
10.7°Preaim
731msReaction time
29.3%T opening success
38.5%CT opening success
0.67Enemies flashed / flash
5.8%Flash assists
7.29HE damage / grenade
10.34Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 730.8336ms — above the 700ms mark we flag

    Aim Training
  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 29.3347% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.1030%23 Aug
nuke13–2-0.0415%23 Aug
mirage8–8-0.0414%29 Jul
anubis7–130.0214%29 Jul
cache13–11-0.058%29 Jul
anubis12–12-0.0411%28 Jul
anubis13–5-0.0425%28 Jul
cache13–00.0316%15 Jul
fachwerk0–13-0.0725%15 Jul
shelter11–13-0.0613%15 Jul
mirage10–13-0.0316%5 Jul
dust213–70.0610%4 Jul
cache3–13-0.1118%3 Jul
mirage13–10-0.0414%3 Jul
cache13–00.0416%1 Jul
cache13–9-0.0124%1 Jul
dust213–6-0.0415%1 Jul
overpass13–20.0210%28 Jun
nuke5–13-0.1010%28 Jun
cache13–4-0.048%28 Jun
mirage13–110.0714%28 Jun
anubis13–6-0.0217%28 Jun
dust213–3-0.0127%28 Jun
dust27–13-0.0721%28 Jun
mirage3–13-0.0021%28 Jun
inferno13–110.0313%26 Jun
cache4–13-0.0214%25 Jun
mirage13–30.0339%24 Jun
ancient12–16-0.049%24 Jun
dust213–10-0.0726%23 Jun
inferno3–130.0519%23 Jun
inferno9–13-0.0713%22 Jun
cache10–13-0.0522%22 Jun
dust28–5-0.049%22 Jun
poseidon6–9-0.1210%22 Jun
inferno8–8-0.146%22 Jun
inferno2–9-0.260%22 Jun
nuke5–13-0.038%22 Jun
nuke9–4-0.1033%21 Jun
ancient6–13-0.1013%19 Jun
train13–8-0.0210%18 Jun
ancient13–10-0.0215%17 Jun
cache13–00.0727%16 Jun
dust213–8-0.0610%16 Jun
nuke9–130.0221%15 Jun
dust213–16-0.0520%15 Jun
ancient11–13-0.0616%15 Jun
overpass9–6-0.0217%11 Jun
dust213–8-0.0825%11 Jun
mirage14–16-0.019%11 Jun
nuke2–8-0.0313%10 Jun
poseidon9–7-0.0319%10 Jun
overpass9–4-0.0331%10 Jun
inferno7–13-0.0627%10 Jun
overpass13–50.0119%9 Jun
cache12–12-0.0315%9 Jun
dust213–7-0.0112%9 Jun
anubis7–2-0.0633%9 Jun
cache13–4-0.0430%9 Jun
cache13–11-0.0512%5 Jun
mirage12–12-0.089%4 Jun
overpass1–7-0.018%4 Jun
cache3–13-0.0618%3 Jun
dust210–13-0.0615%29 May
cache13–8-0.029%29 May
cache13–9-0.0315%29 May
inferno6–90.0026%27 May
anubis12–12-0.0314%27 May
anubis12–12-0.0721%27 May
nuke6–13-0.0624%21 May
cache9–130.0622%20 May
overpass4–13-0.089%20 May
cache12–12-0.0412%20 May
mirage13–9-0.0421%20 May
office9–13-0.0513%15 May
cache9–10.0112%15 May
cache13–70.018%15 May
cache12–12-0.0019%15 May
cache10–130.0233%7 May
cache5–13-0.0713%6 May
cache13–10-0.062%6 May
cache9–130.009%6 May
cache1–8-0.0415%6 May
cache9–13-0.0115%4 May
cache12–12-0.0220%3 May
cache0–9-0.128%3 May
cache5–13-0.0218%3 May
dust213–9-0.0619%23 Apr
nuke13–3-0.0430%3 Apr
train9–13-0.0526%3 Apr
anubis13–100.0021%3 Apr
poseidon1–9-0.1413%3 Apr
inferno8–8-0.0722%3 Apr
office12–12-0.0421%18 Mar
overpass7–13-0.058%17 Mar
inferno8–13-0.0817%17 Mar
train12–12-0.1326%14 Mar
overpass13–11-0.0615%12 Mar
inferno13–7-0.0613%12 Mar
overpass13–11-0.059%12 Mar

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 →