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AeRious — CS2 Stats

76561198409599935[U:1:449334207]

2,540Tracked matches55%Win rate2020Tracked since
CSDB Rating3.1 Learning
Premier CS Rating9,365Light Blue band · top ~57.9% of ranked players (population est.)
CSDB Leaderboard#34795 of 47734 tracked
FaceitLevel 4 · 913 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGAeRiousFACEITLevel 4 · 913 ELOSTANDINGTop 81.0% of rankedPREMIER9,365 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim12
Positioning46
Utility58

0–100 skill scores via Leetify.

Recent form

COLD48–50–2Last 10048%Win rateWTLLLWLLLW

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

Player DNA

Aim1.2
Aggression3.2
Utility5.8
Positioning4.6
Opening Duels0.6
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 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 701ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim1.2
Positioning4.6
Utility5.8
Mechanics3.4
Opening Duels0.7
Win Impact6.7

Composite 3.1/10 (Learning), 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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time715ms+39ms
first ⅓ avg 675ms → last ⅓ avg 715ms
Headshot accuracy10.7%−1.3%
first ⅓ avg 12.0% → last ⅓ avg 10.7%

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

0.13Best rating — dust2 6–0
13–0Biggest win — nuke
7Longest win streak
7–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 56% over 18ancientWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
infernoB2210–1245%-0.01
nukeA1810–856%-0.01
ancientC167–944%-0.02
dust2B168–850%-0.03
cacheB115–645%-0.05
mirageB84–450%-0.01
anubis—42–250%-0.02
overpass—42–250%0.01
office—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

160Matches
49%Win rate
0.88Avg K/D
60.1ADR
26%Headshot %

Clutches & streaks

17%1v1 clutch win
8%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke633%0.6812.7
Mirage633%0.539.3
Inferno367%0.477.7
Ancient250%0.668.0
Dust220%0.6412.0
Train10%0.163.0
Overpass1100%1.0014.0
Vertigo1100%0.479.0

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.

10.1%Headshot accuracy
27.2%Accuracy (enemy spotted)
27.4%Spray accuracy
65.2%Counter-strafing
13.8°Preaim
701msReaction time
28.6%T opening success
35.8%CT opening success
0.68Enemies flashed / flash
3.5%Flash assists
6.58HE damage / grenade
6.71Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.8156° — above the 12° mark we flag

    Aim Training →
  2. 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 10.1229% — below the 15% mark we flag

    Aim Training →
  3. 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 700.7824ms — above the 700ms mark we flag

    Aim Training →
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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–11-0.009%27 Aug →
ancient15–15-0.049%23 Aug →
dust24–13-0.0213%23 Aug →
nuke8–130.0310%23 Aug →
ancient6–13-0.0813%22 Aug →
cache13–10-0.0012%22 Aug →
cache1–13-0.148%21 Aug →
dust22–13-0.079%21 Aug →
dust25–130.0516%18 Aug →
cache13–8-0.0114%18 Aug →
cache16–14-0.0411%18 Aug →
ancient3–13-0.0021%17 Aug →
dust27–13-0.0817%17 Aug →
inferno16–12-0.027%11 Aug →
nuke13–50.0510%11 Aug →
inferno13–7-0.0511%11 Aug →
dust211–13-0.0515%11 Aug →
cache10–13-0.077%10 Aug →
mirage8–13-0.090%10 Aug →
nuke13–00.064%10 Aug →
nuke7–13-0.095%10 Aug →
dust213–10-0.0610%6 Aug →
inferno13–6-0.074%6 Aug →
inferno13–10-0.025%6 Aug →
dust26–00.1321%6 Aug →
nuke13–7-0.066%4 Aug →
ancient13–9-0.0610%4 Aug →
anubis13–10-0.0016%4 Aug →
inferno11–13-0.039%4 Aug →
mirage16–140.0210%4 Aug →
inferno13–6-0.017%4 Aug →
inferno11–13-0.0120%30 Jul →
ancient10–13-0.0914%30 Jul →
cache10–13-0.0315%30 Jul →
ancient13–8-0.028%30 Jul →
inferno16–13-0.0318%30 Jul →
inferno11–130.0113%29 Jul →
ancient13–8-0.027%29 Jul →
inferno6–13-0.014%28 Jul →
nuke13–60.089%28 Jul →
nuke13–110.0311%28 Jul →
ancient13–50.035%24 Jul →
mirage10–13-0.038%24 Jul →
ancient6–130.018%24 Jul →
nuke5–13-0.039%23 Jul →
anubis13–9-0.0112%23 Jul →
ancient7–13-0.0210%23 Jul →
dust213–8-0.0412%23 Jul →
dust213–80.0520%23 Jul →
dust29–13-0.0910%23 Jul →
inferno5–13-0.025%23 Jul →
mirage13–30.0714%23 Jul →
cache10–13-0.1011%23 Jul →
ancient16–140.0111%23 Jul →
mirage4–13-0.0015%23 Jul →
nuke13–8-0.0620%21 Jul →
cache9–13-0.125%21 Jul →
anubis7–13-0.0415%21 Jul →
cache9–13-0.0318%21 Jul →
mirage13–110.0221%21 Jul →
dust213–9-0.089%19 Jul →
cache13–2-0.039%7 Jul →
inferno6–13-0.0520%7 Jul →
office10–13-0.0614%7 Jul →
dust213–11-0.025%5 Jul →
nuke13–10-0.0115%5 Jul →
dust213–6-0.0316%3 Jul →
anubis11–13-0.0318%6 Jun →
ancient14–16-0.0120%6 Jun →
dust211–13-0.047%18 May →
mirage13–4-0.0518%18 May →
nuke8–13-0.037%15 May →
inferno13–90.0113%15 May →
dust213–6-0.0714%15 May →
inferno9–130.0219%15 May →
dust213–16-0.0414%15 May →
mirage3–13-0.042%18 Apr →
nuke6–13-0.054%18 Apr →
nuke15–150.0116%18 Apr →
inferno11–130.0514%9 Apr →
nuke1–13-0.080%9 Apr →
ancient16–120.048%5 Apr →
nuke8–13-0.068%5 Apr →
ancient5–130.0114%5 Apr →
inferno9–13-0.0110%5 Apr →
inferno9–130.0316%5 Apr →
inferno13–3-0.043%5 Apr →
ancient13–100.0011%4 Apr →
overpass13–40.056%4 Apr →
inferno13–8-0.018%4 Apr →
overpass10–130.0112%2 Apr →
nuke13–30.0127%2 Apr →
ancient9–13-0.058%2 Apr →
inferno9–13-0.0214%2 Apr →
nuke13–9-0.025%2 Apr →
overpass13–100.0714%1 Apr →
inferno10–130.028%1 Apr →
nuke13–90.0513%1 Apr →
inferno13–90.0230%1 Apr →
overpass9–13-0.0716%29 Mar →

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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