Ai0n — CS2 Stats

76561198884169612[U:1:923903884]

1,311Tracked matches40%Win rate2024Tracked since
CSDB Rating5.1 DevelopingHybrid Rifler
Premier CS Rating21,203Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#8699 of 24547 tracked
Ladder ranks via Leetify

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CSDB.GGAi0nPREMIER21,203 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning37
Utility32

0–100 skill scores via Leetify.

Recent form

COLD49465Last 10049%Win rateWLWLLLLLLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.5
Aggression4.7
Utility3.2
Positioning3.7
Opening Duels0.5
Clutch3.6

Strong CT-side openerLimited utility dependence

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 82% playstyle similarity

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

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 670ms 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

Aim7.5
Positioning3.7
Utility3.2
Mechanics8.2
Opening Duels1.5
Win Impact1.7

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time664ms+16ms
first ⅓ avg 648ms → last ⅓ avg 664ms
Headshot accuracy18.2%−1.6%
first ⅓ avg 19.9% → last ⅓ avg 18.2%

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

0.12Best rating — mirage 13–5
132Biggest win — dust2
9Longest win streak
1211In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 63% over 8infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%0.00
mirageB21101148%0.01
nukeA159660%-0.01
anubisA127558%-0.00
infernoD113827%-0.05
ancientC114736%-0.01
cacheA85363%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

268Matches
51%Win rate
1.04Avg K/D
77.1ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust27254%1.0814.5
Mirage6831%0.9314.3
Anubis3364%1.0815.4
Inferno2966%0.9813.3
Nuke2850%1.2015.8
Ancient2268%1.0615.6
Overpass944%0.7914.1
Cache540%1.3622.2

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.

18.4%Headshot accuracy
38.5%Accuracy (enemy spotted)
39.9%Spray accuracy
86.8%Counter-strafing
9.9°Preaim
670msReaction time
22.7%T opening success
41.7%CT opening success
0.37Enemies flashed / flash
3.4%Flash assists
8.54HE damage / grenade
1.77Flashes / 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. 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 0.3671 — below the 0.5 mark we flag

    Grenade Lineups
  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 22.718% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno16–14-0.0012%26 Aug
cache11–13-0.0117%25 Aug
cache13–100.0130%24 Aug
dust25–13-0.0241%24 Aug
anubis2–13-0.0226%21 Aug
anubis9–13-0.0414%17 Aug
inferno2–9-0.1213%17 Aug
ancient1–130.0019%14 Aug
cache12–160.0020%9 Aug
nuke3–13-0.1414%5 Aug
dust213–110.0520%5 Aug
mirage11–13-0.0314%3 Aug
dust213–20.0716%3 Aug
ancient5–13-0.0712%29 Jul
nuke13–110.0122%29 Jul
inferno3–13-0.0417%27 Jul
dust27–130.0117%25 Jul
nuke9–13-0.0416%25 Jul
cache6–13-0.0020%25 Jul
dust213–11-0.0121%21 Jul
mirage6–13-0.0519%21 Jul
anubis13–8-0.0213%21 Jul
mirage10–40.0419%21 Jul
mirage13–11-0.0216%21 Jul
anubis10–130.0419%21 Jul
dust26–13-0.0616%14 Jul
dust22–13-0.0018%13 Jul
mirage13–90.0529%13 Jul
nuke13–110.0317%13 Jul
mirage6–13-0.0017%13 Jul
anubis13–9-0.057%13 Jul
dust213–11-0.0615%11 Jul
dust215–15-0.0018%11 Jul
dust216–14-0.0411%10 Jul
cache13–6-0.0231%10 Jul
cache13–90.0717%8 Jul
cache13–8-0.0115%8 Jul
nuke13–90.0217%6 Jul
inferno14–16-0.0422%6 Jul
dust25–13-0.0829%6 Jul
nuke13–90.0122%6 Jul
inferno7–9-0.0514%1 Jul
dust213–90.0021%29 Jun
nuke13–11-0.0311%27 Jun
anubis11–130.0121%26 Jun
ancient15–150.0436%26 Jun
mirage13–70.0729%25 Jun
ancient15–150.0423%24 Jun
mirage16–12-0.0527%22 Jun
nuke9–2-0.0622%22 Jun
nuke9–130.0211%22 Jun
mirage10–13-0.0213%22 Jun
mirage10–130.0414%22 Jun
inferno8–8-0.0424%20 Jun
mirage9–13-0.0415%17 Jun
mirage4–13-0.0515%16 Jun
anubis13–30.0342%16 Jun
dust213–8-0.0614%15 Jun
ancient5–13-0.0215%15 Jun
dust210–130.0025%15 Jun
dust213–40.0837%14 Jun
ancient14–16-0.0413%14 Jun
inferno11–13-0.0224%12 Jun
dust216–130.0016%12 Jun
mirage2–13-0.0024%12 Jun
ancient13–11-0.0515%11 Jun
mirage13–8-0.0218%11 Jun
anubis16–140.0012%10 Jun
dust210–13-0.0021%9 Jun
ancient13–7-0.0018%9 Jun
ancient11–130.016%5 Jun
ancient13–9-0.0514%5 Jun
anubis13–5-0.0612%4 Jun
mirage13–70.0520%3 Jun
mirage13–50.1220%2 Jun
dust213–90.0617%2 Jun
ancient13–60.0519%2 Jun
nuke13–40.0521%1 Jun
mirage13–90.0016%28 May
inferno16–120.0216%28 May
mirage10–130.0821%28 May
nuke13–20.0326%27 May
dust28–13-0.0417%17 May
mirage15–150.0321%17 May
dust214–160.0113%16 May
inferno13–70.0224%16 May
mirage11–13-0.0122%15 May
anubis8–13-0.0316%15 May
cache13–20.0718%13 May
inferno10–13-0.0129%13 May
anubis13–80.0821%13 May
inferno1–9-0.2325%13 May
dust27–130.0925%13 May
nuke11–13-0.0425%12 May
anubis13–80.0424%12 May
nuke13–110.0222%11 May
nuke5–13-0.1023%8 May
dust213–70.0528%8 May
nuke6–130.0724%6 May
mirage13–20.0820%6 May

Match data via Leetify.

Milestones

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