aqlot — CS2 Stats

76561198207357788[U:1:247092060]

615Tracked matches50%Win rate2020Tracked since
CSDB Rating6.5 SolidHybrid Rifler
Premier CS Rating25,804Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#2490 of 24641 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGaqlotPREMIER25,804 · Red bandcsdb.gg/stats

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Performance scores

Aim86
Positioning50
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateWWLLLWWWLL

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

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

Aim8.6
Aggression5.9
Utility6.3
Positioning5.0
Opening Duels1.8

Sharp aimerStrong T-side opener

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 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 48% on T to 27% on CT — first contacts on the defending side are being lost.

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

Aim8.6
Positioning5.0
Utility6.3
Mechanics6.5
Opening Duels2.2
Win Impact5.0

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time548ms−19ms
first ⅓ avg 567ms → last ⅓ avg 548ms
Headshot accuracy22.2%−1.5%
first ⅓ avg 23.7% → last ⅓ avg 22.2%

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

0.19Best rating — inferno 9–5
130Biggest win — dust2
5Longest win streak
W2Current streak
45In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 64% over 22ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B49252451%0.01
mirageA2214864%0.01
ancientD91811%-0.01
infernoD72529%0.04
anubisD62433%0.03
cache43175%0.03
nuke32167%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.1%Headshot accuracy
35.9%Accuracy (enemy spotted)
39.5%Spray accuracy
79.3%Counter-strafing
7.1°Preaim
538msReaction time
47.9%T opening success
26.6%CT opening success
0.65Enemies flashed / flash
9.9%Flash assists
12.43HE damage / grenade
11.99Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 26.6416% — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–70.0035%28 Aug
mirage13–80.0123%28 Aug
dust24–130.0624%28 Aug
anubis0–90.0229%28 Aug
dust27–13-0.0510%28 Aug
dust213–00.0731%22 Aug
dust213–7-0.0026%22 Aug
dust213–70.0627%22 Aug
dust29–130.0616%22 Aug
dust211–13-0.0217%22 Aug
ancient15–150.0117%22 Aug
dust213–10.0724%21 Aug
dust212–120.1224%21 Aug
inferno9–50.1933%21 Aug
dust213–50.0641%12 Aug
dust28–13-0.0116%12 Aug
inferno9–130.0323%11 Aug
dust212–12-0.0225%11 Aug
dust26–13-0.1117%8 Aug
mirage13–80.0613%8 Aug
dust28–13-0.0219%7 Aug
dust213–90.1015%7 Aug
dust212–120.0323%7 Aug
dust213–10-0.0426%6 Aug
inferno13–11-0.0422%6 Aug
mirage7–130.0218%6 Aug
dust213–60.0326%6 Aug
ancient5–13-0.0720%4 Aug
mirage6–13-0.0416%4 Aug
dust28–13-0.0214%1 Aug
anubis13–10.1010%1 Aug
dust25–13-0.0425%1 Aug
dust213–5-0.0431%1 Aug
dust21–13-0.0819%1 Aug
dust213–10.0735%1 Aug
dust213–8-0.0523%31 Jul
cache13–20.0628%31 Jul
dust213–30.0922%31 Jul
ancient1–10-0.040%13 Jul
dust20–13-0.130%13 Jul
dust213–70.0134%13 Jul
mirage13–2-0.0139%13 Jul
mirage13–40.0314%13 Jul
mirage8–130.0229%12 Jul
anubis9–13-0.0324%12 Jul
nuke5–13-0.0223%12 Jul
anubis10–130.0921%11 Jul
inferno6–130.0926%11 Jul
ancient8–13-0.0313%11 Jul
dust28–13-0.049%11 Jul
mirage13–110.0425%11 Jul
mirage13–11-0.0121%10 Jul
mirage13–3-0.0015%10 Jul
ancient13–50.0325%10 Jul
dust213–50.0220%10 Jul
ancient0–13-0.0320%10 Jul
dust25–13-0.0526%10 Jul
anubis13–70.0425%10 Jul
nuke13–70.0028%9 Jul
cache11–130.0226%9 Jul
dust213–2-0.0625%9 Jul
dust213–20.1023%9 Jul
anubis7–13-0.0319%9 Jul
inferno3–13-0.0529%9 Jul
dust20–13-0.0331%9 Jul
dust213–90.0218%9 Jul
dust213–70.0320%9 Jul
mirage13–80.0121%9 Jul
dust211–130.0215%8 Jul
mirage13–6-0.0121%7 Jul
dust213–11-0.0316%3 Jul
dust211–13-0.0026%3 Jul
mirage5–13-0.0245%2 Jul
ancient1–13-0.0419%2 Jul
mirage4–0-0.0013%2 Jul
ancient10–130.0325%2 Jul
mirage1–130.0117%2 Jul
nuke13–90.0831%2 Jul
cache13–80.0223%2 Jul
mirage4–13-0.0118%2 Jul
ancient5–130.1029%17 Jun
mirage13–90.0128%16 Jun
dust213–70.1324%16 Jun
dust212–120.0124%16 Jun
dust25–13-0.0516%13 Jun
inferno14–160.0435%9 Jun
dust213–6-0.0321%9 Jun
inferno4–130.0119%9 Jun
dust213–60.1529%7 Jun
dust27–130.0728%7 Jun
mirage13–60.1019%7 Jun
dust213–50.1037%7 Jun
mirage13–90.0118%7 Jun
mirage13–80.0528%7 Jun
dust213–70.0920%3 Jun
mirage1–13-0.0124%3 Jun
mirage6–13-0.1033%2 Jun
dust28–13-0.0927%1 Jun
dust27–13-0.0319%24 May
cache13–50.0217%22 May

Match data via Leetify.

Recent teammates

Milestones

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