Shadar — CS2 Stats

76561198404459432[U:1:444193704]

434Tracked matches48%Win rate2025Tracked since
562Hours in CS16Hrs last 2 wks
CSDB Rating1.9 Learning
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim21
Positioning26
Utility7

0–100 skill scores via Leetify.

Recent form

COLD375211Last 10037%Win rateWLWTLLWLLT

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim2.1
Aggression0.1
Utility0.7
Positioning2.6
Opening Duels0.0

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 54% playstyle similarity

Most alike: opening-duel success, 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. 661ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.1
Positioning2.6
Utility0.7
Mechanics1.3
Opening Duels0.0
Win Impact4.3

Composite 1.9/10 (Learning), 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-0.07+0.00
first ⅓ avg -0.07 → last ⅓ avg -0.07
Reaction time675ms−45ms
first ⅓ avg 720ms → last ⅓ avg 675ms
Headshot accuracy9.7%−0.6%
first ⅓ avg 10.3% → last ⅓ avg 9.7%

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

0.02Best rating — vertigo 13–7
131Biggest win — nuke
7Longest win streak
64In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 56% over 9dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD1841422%-0.07
ancientC1761135%-0.06
nukeB158753%-0.09
vertigoC125742%-0.07
mirageA95456%-0.07
anubisC73443%-0.07
dust2D61517%-0.07
cacheB63350%-0.05
trainD51420%-0.08
overpass41325%-0.06
shelter1010%-0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,280Lifetime kills
0.54K/D
554Matches
40.3%Match win rate
37.7%Headshot %
1.6%Shot accuracy
548MVPs
179Hours (in match)
390Bombs planted
35Bombs defused

Most-used weapons

Lifetime map wins

867inferno
706nuke
559vertigo
325dust2
178train
5assault
5italy
5office

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.

9.5%Headshot accuracy
28.3%Accuracy (enemy spotted)
31.8%Spray accuracy
56.1%Counter-strafing
9.8°Preaim
661msReaction time
16.4%T opening success
18.9%CT opening success
0.02Enemies flashed / flash
0.0%Flash assists
6.86HE damage / grenade
0.26Flashes / 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 9.4928% — 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 0.0235 — 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 16.4053% — below the 40% mark we flag

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.085%24 Aug
vertigo6–13-0.089%24 Aug
ancient13–6-0.0414%24 Aug
inferno12–12-0.103%24 Aug
mirage5–13-0.0811%19 Aug
dust27–13-0.098%18 Aug
nuke13–11-0.025%18 Aug
cache2–13-0.0523%18 Aug
inferno4–13-0.0914%18 Aug
ancient15–15-0.0710%18 Aug
inferno12–12-0.093%17 Aug
ancient13–3-0.0110%17 Aug
vertigo13–5-0.040%17 Aug
mirage13–7-0.0410%17 Aug
anubis13–6-0.074%17 Aug
nuke13–10-0.0811%17 Aug
train10–13-0.1213%17 Aug
cache11–13-0.048%17 Aug
ancient6–13-0.1113%17 Aug
vertigo11–13-0.0713%16 Aug
cache13–11-0.0615%16 Aug
ancient12–12-0.083%16 Aug
nuke13–5-0.065%16 Aug
inferno8–13-0.0921%16 Aug
train12–12-0.058%16 Aug
mirage10–13-0.137%13 Aug
anubis13–10-0.0614%13 Aug
anubis8–13-0.097%12 Aug
train13–5-0.0511%12 Aug
dust211–13-0.0714%12 Aug
ancient13–9-0.0610%12 Aug
inferno9–13-0.0617%12 Aug
mirage7–13-0.085%11 Aug
nuke5–13-0.096%10 Aug
inferno13–10-0.069%10 Aug
anubis12–12-0.055%10 Aug
ancient0–13-0.065%10 Aug
ancient13–7-0.0012%7 Aug
cache13–6-0.0713%7 Aug
ancient13–6-0.0520%31 Jul
dust212–12-0.039%31 Jul
inferno2–13-0.065%29 Jul
nuke13–11-0.056%29 Jul
mirage10–13-0.086%29 Jul
vertigo9–13-0.0411%26 Jul
nuke2–9-0.1838%26 Jul
vertigo8–8-0.159%25 Jul
nuke1–9-0.266%25 Jul
inferno9–70.0214%25 Jul
ancient13–8-0.022%25 Jul
vertigo13–6-0.0812%25 Jul
cache13–4-0.077%25 Jul
anubis13–8-0.043%19 Jul
nuke13–1-0.067%19 Jul
mirage13–5-0.0911%19 Jul
overpass11–13-0.025%14 Jul
anubis9–13-0.039%14 Jul
shelter9–13-0.1110%9 Jul
overpass8–13-0.1123%22 Jun
nuke5–13-0.0521%22 Jun
vertigo12–12-0.0413%22 Jun
inferno8–8-0.109%21 Jun
dust213–5-0.043%21 Jun
vertigo13–4-0.0614%21 Jun
inferno4–13-0.100%21 Jun
ancient6–13-0.129%21 Jun
inferno8–8-0.0811%17 Jun
nuke9–30.0219%17 Jun
vertigo3–13-0.1513%17 Jun
train4–13-0.085%17 Jun
dust25–13-0.083%16 Jun
inferno5–13-0.0711%15 Jun
ancient8–13-0.0411%15 Jun
inferno7–13-0.058%13 Jun
mirage13–2-0.0313%13 Jun
nuke13–8-0.113%13 Jun
anubis3–13-0.1415%12 Jun
cache10–13-0.0215%11 Jun
vertigo13–11-0.076%11 Jun
inferno13–4-0.0715%11 Jun
mirage13–6-0.0110%9 Jun
ancient6–13-0.0810%9 Jun
inferno7–13-0.0412%9 Jun
dust26–13-0.1024%6 Jun
overpass13–10-0.0312%6 Jun
nuke13–10-0.0614%6 Jun
inferno9–7-0.104%6 Jun
nuke6–9-0.2017%6 Jun
inferno5–13-0.0911%6 Jun
ancient2–13-0.105%6 Jun
train6–13-0.0912%6 Jun
vertigo13–70.0211%6 Jun
ancient2–13-0.094%6 Jun
overpass6–13-0.068%5 Jun
nuke9–13-0.089%5 Jun
vertigo0–13-0.114%5 Jun
inferno8–13-0.0610%5 Jun
nuke8–13-0.0410%3 Jun
ancient6–13-0.076%3 Jun
ancient5–13-0.1010%2 Jun

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 →