aimedshot5 — CS2 Stats

76561197978441611[U:1:18175883]

1,284Tracked matches45%Win rate2020Tracked since
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating24,765Top 50% of 819 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)
CSDB Leaderboard#2663 of 14918 tracked
FaceitLevel 8 · 1,412 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGaimedshot5FACEITLevel 8 · 1,412 ELOSTANDINGTop 31.2% of rankedPREMIER24,765 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning45
Utility60

0–100 skill scores via Leetify.

Recent form

COLD47503Last 10047%Win rateLLWLLLWLLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim7.9
Aggression4.5
Utility6.0
Positioning4.5
Opening Duels0.9
Clutch2.4

Effective flashes

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 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower positioning 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

Aim7.9
Positioning4.5
Utility6.0
Mechanics5.4
Opening Duels0.9
Win Impact3.3

Composite 5.5/10 (Solid), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time461ms−81ms
first ⅓ avg 542ms → last ⅓ avg 461ms
Headshot accuracy15.1%+0.9%
first ⅓ avg 14.2% → last ⅓ avg 15.1%

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 — inferno 13–8
131Biggest win — ancient
5Longest win streak
L2Current streak
108In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 79% over 14dust2Weakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
ancientC2391439%-0.01
mirageC2191243%0.01
infernoS1411379%0.01
dust2D1431121%-0.02
cacheB137654%-0.01
nukeA116555%0.01
anubis32167%0.03
overpass1010%-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

431Matches
50%Win rate
1.03Avg K/D
83.0ADR
41%Headshot %

Clutches & streaks

32%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4149%0.9915.8
Inferno3259%1.0915.1
Ancient2450%1.0217.6
Overpass1479%1.2019.8
Anubis1136%1.0615.9
Cache922%0.9214.3
Nuke560%1.2716.2
Dust2560%0.9614.2

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.

14.8%Headshot accuracy
35.7%Accuracy (enemy spotted)
37.8%Spray accuracy
74.3%Counter-strafing
8.0°Preaim
467msReaction time
31.1%T opening success
36.0%CT opening success
0.75Enemies flashed / flash
6.7%Flash assists
9.66HE damage / grenade
6.39Flashes / 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 14.8066% — below the 15% 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 31.1101% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient6–130.0714%26 Aug
cache8–130.0016%26 Aug
inferno13–8-0.0116%26 Aug
cache7–13-0.0416%25 Aug
ancient6–13-0.0411%25 Aug
ancient9–13-0.0517%25 Aug
ancient16–130.0111%23 Aug
mirage10–13-0.0015%23 Aug
dust20–13-0.110%23 Aug
inferno16–14-0.0523%23 Aug
nuke3–13-0.0710%22 Aug
cache13–4-0.0118%22 Aug
ancient11–13-0.047%18 Aug
dust213–6-0.028%17 Aug
anubis8–130.0314%16 Aug
ancient9–130.018%16 Aug
mirage8–130.0316%16 Aug
mirage0–13-0.0214%16 Aug
mirage4–13-0.1020%15 Aug
cache13–9-0.0718%15 Aug
cache15–15-0.0719%15 Aug
ancient5–00.0133%15 Aug
mirage13–70.0618%15 Aug
ancient13–110.0516%15 Aug
inferno11–13-0.0116%15 Aug
inferno13–90.0016%15 Aug
nuke13–110.0412%15 Aug
cache16–140.0717%15 Aug
mirage8–13-0.0210%14 Aug
inferno13–10-0.0319%14 Aug
mirage14–160.0517%14 Aug
nuke13–160.0121%14 Aug
inferno13–80.0313%14 Aug
nuke13–16-0.0214%14 Aug
dust29–13-0.0312%14 Aug
cache16–130.0112%13 Aug
cache9–130.0041%9 Aug
inferno13–90.025%9 Aug
ancient13–70.0614%9 Aug
mirage10–13-0.0224%9 Aug
ancient13–60.0312%9 Aug
cache13–10-0.0423%9 Aug
dust25–13-0.0120%9 Aug
nuke13–100.0620%9 Aug
inferno13–4-0.0412%8 Aug
ancient8–13-0.0310%8 Aug
nuke13–100.0417%8 Aug
nuke13–110.0220%8 Aug
mirage13–110.0517%8 Aug
dust211–13-0.0119%8 Aug
ancient10–13-0.0123%7 Aug
ancient15–15-0.0216%7 Aug
mirage13–90.0517%6 Aug
inferno13–80.1212%6 Aug
anubis13–70.0520%6 Aug
dust214–160.0015%6 Aug
cache13–90.016%6 Aug
mirage13–4-0.0523%6 Aug
mirage13–30.0734%3 Aug
nuke15–15-0.0024%2 Aug
overpass2–9-0.1017%2 Aug
ancient11–13-0.0312%2 Aug
inferno13–8-0.0016%2 Aug
cache13–60.0315%2 Aug
dust26–13-0.0329%2 Aug
dust24–13-0.0021%2 Aug
nuke13–60.0414%2 Aug
mirage13–110.0322%2 Aug
inferno13–90.1017%2 Aug
ancient7–13-0.0611%1 Aug
dust213–60.0021%1 Aug
mirage6–130.0414%1 Aug
dust211–13-0.0412%1 Aug
inferno10–13-0.0517%1 Aug
nuke13–50.0612%1 Aug
dust213–7-0.067%30 Jul
ancient13–10.0017%30 Jul
mirage13–90.0414%30 Jul
ancient13–7-0.0116%30 Jul
nuke7–13-0.0214%30 Jul
mirage13–11-0.066%30 Jul
cache4–13-0.0813%30 Jul
mirage4–13-0.0211%26 Jul
mirage14–160.0611%26 Jul
ancient6–130.0219%26 Jul
ancient7–13-0.0314%26 Jul
inferno8–13-0.0116%26 Jul
dust28–13-0.0712%26 Jul
mirage13–110.0217%25 Jul
ancient6–13-0.0911%25 Jul
mirage7–130.0416%25 Jul
ancient7–13-0.0411%25 Jul
cache7–13-0.0017%25 Jul
mirage10–13-0.0119%25 Jul
anubis13–60.0010%25 Jul
ancient13–9-0.019%25 Jul
dust27–130.0014%25 Jul
ancient13–11-0.0018%24 Jul
dust25–130.0421%24 Jul
inferno13–10.1214%24 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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