Aura monster

Aura monster — CS2 Stats

US76561198883617729[U:1:923352001]Steam profile ↗

177Tracked matches50%Win rate2025Tracked since
381Hours in CS23Hrs last 2 wks
CSDB Rating4.0 Developing
Ladder ranks via Leetify

Performance scores

Aim46
Positioning51
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY45505Last 10045%Win rateWWWLTLLLLW

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Aim4.6
Aggression5.7
Utility1.7
Positioning5.1
Opening Duels1.4

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 76% playstyle similarity

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

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. 639ms 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

Aim4.6
Positioning5.1
Utility1.7
Mechanics4.9
Opening Duels1.5
Win Impact5.0

Composite 4.0/10 (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-0.02−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time616ms−36ms
first ⅓ avg 652ms → last ⅓ avg 616ms
Headshot accuracy9.9%−1.7%
first ⅓ avg 11.5% → last ⅓ avg 9.9%

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

0.17Best rating — nuke 13–11
130Biggest win — overpass
5Longest win streak
W3Current streak
91In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 58% over 12ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB26121446%0.01
trainD1551033%0.00
infernoA127558%0.00
cacheB115645%-0.03
ancientD61517%-0.02
mirageC52340%-0.01
vertigoD51420%0.01
anubis440100%-0.01
dust241325%-0.01
overpass42250%-0.00
shelter32167%-0.02
office21150%-0.03
agency220100%0.06
jura1010%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

7,580Lifetime kills
1.20K/D · Top 25% of tracked players
464Matches
49.4%Match win rate · Top 50% of tracked players
33.1%Headshot %
4.5%Shot accuracy
950MVPs
258Hours (in match)
618Bombs planted
79Bombs defused

Most-used weapons

Lifetime map wins

763dust2
698nuke
492train
488inferno
239vertigo
76office
8ar_baggage
5italy

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.

10.7%Headshot accuracy
34.0%Accuracy (enemy spotted)
36.5%Spray accuracy
71.9%Counter-strafing
10.2°Preaim
639msReaction time
29.6%T opening success
41.9%CT opening success
0.36Enemies flashed / flash
0.4%Flash assists
0.84HE damage / grenade
3.67Flashes / 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 10.7128% — 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 0.3558 — 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 29.5723% — 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.

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–3-0.037%27 Aug
cache13–10.106%27 Aug
inferno13–80.0218%27 Aug
ancient10–13-0.0617%26 Aug
cache12–12-0.018%26 Aug
inferno8–130.0022%25 Aug
nuke10–13-0.0522%25 Aug
inferno7–130.020%23 Aug
cache5–13-0.134%22 Aug
cache13–9-0.0414%22 Aug
inferno13–5-0.0411%22 Aug
inferno9–10-0.079%21 Aug
shelter13–110.019%20 Aug
inferno13–7-0.016%20 Aug
nuke6–13-0.0412%19 Aug
nuke13–11-0.0113%16 Aug
nuke12–12-0.0616%9 Aug
nuke8–60.060%3 Aug
nuke6–100.020%3 Aug
office13–5-0.0212%27 Jul
dust29–130.0210%27 Jul
cache7–13-0.063%27 Jul
ancient3–13-0.0811%27 Jul
anubis13–110.0211%23 Jul
nuke5–13-0.0113%23 Jul
shelter11–13-0.048%10 Jul
shelter13–4-0.036%10 Jul
inferno13–60.0011%8 Jul
cache1–13-0.0125%16 Jun
inferno5–130.095%14 Jun
cache13–90.017%23 May
train0–13-0.1111%22 May
nuke3–6-0.160%21 May
nuke10–13-0.0118%21 May
nuke0–12-0.059%19 May
nuke13–8-0.0020%19 May
cache3–11-0.060%14 May
mirage2–13-0.099%14 May
cache13–9-0.034%12 May
cache13–7-0.0613%12 May
cache6–13-0.0117%9 May
vertigo13–90.0212%28 Feb
ancient13–100.1415%11 Jan
nuke13–6-0.0319%7 Jan
mirage13–20.0610%7 Jan
nuke13–70.100%7 Jan
mirage4–13-0.018%6 Jan
nuke13–110.038%5 Jan
dust213–40.0513%3 Jan
dust20–13-0.0925%3 Jan
train13–8-0.0820%3 Jan
inferno8–13-0.025%3 Jan
train12–120.0214%3 Jan
mirage3–13-0.0411%1 Jan
vertigo6–13-0.0515%30 Dec
office8–13-0.0511%30 Dec
inferno8–13-0.0517%27 Dec
nuke13–60.0818%18 Dec
train8–13-0.056%17 Dec
vertigo6–13-0.0210%17 Dec
train3–13-0.100%17 Dec
nuke4–13-0.0120%16 Dec
dust28–13-0.0322%16 Dec
nuke4–10.0522%16 Dec
inferno9–70.0619%16 Dec
train13–60.057%16 Dec
train8–13-0.0519%16 Dec
train1–13-0.090%15 Dec
train13–50.0227%15 Dec
nuke9–50.0710%25 Nov
nuke13–30.0713%7 Sept
train3–130.0216%7 Sept
overpass13–00.0915%13 Aug
ancient4–13-0.050%9 Aug
train12–120.026%8 Aug
vertigo6–130.039%8 Aug
inferno13–110.0520%7 Aug
nuke10–13-0.0214%6 Aug
nuke10–13-0.0814%6 Aug
vertigo6–130.0819%6 Aug
agency13–50.1211%6 Aug
agency13–50.0113%6 Aug
overpass10–13-0.0510%31 Jul
nuke13–20.1113%31 Jul
jura9–13-0.0712%30 Jul
ancient5–13-0.0514%29 Jul
train8–130.0514%29 Jul
anubis13–7-0.050%28 Jul
mirage13–90.0112%28 Jul
overpass5–13-0.067%27 Jul
anubis13–70.024%27 Jul
nuke12–120.0820%27 Jul
nuke13–110.1712%27 Jul
train13–20.0412%27 Jul
nuke6–13-0.0414%26 Jul
overpass13–60.0114%25 Jul
nuke10–130.049%25 Jul
train13–20.135%25 Jul
train8–130.1114%24 Jul
ancient6–13-0.049%23 Jul

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 →