Akim — CS2 Stats

76561198054307262[U:1:94041534]

717Tracked matches50%Win rate2021Tracked since
CSDB Rating5.0 DevelopingPassive Rifler
Premier CS Rating21,515Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#8947 of 27245 tracked
FaceitLevel 7 · 1,364 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAkimFACEITLevel 7 · 1,364 ELOSTANDINGTop 42.3% of rankedPREMIER21,515 · Pink bandcsdb.gg/stats

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Performance scores

Aim62
Positioning46
Utility49

0–100 skill scores via Leetify.

Recent form

COLD48511Last 10048%Win rateWLLLLLWLLW

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

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

Aim6.2
Aggression3.1
Utility4.9
Positioning4.6
Opening Duels0.0
Clutch0.0

Strong CT-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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 39% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.2
Positioning4.6
Utility4.9
Mechanics5.2
Opening Duels1.2
Win Impact5.0

Composite 5.0/10 (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+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time547ms−40ms
first ⅓ avg 588ms → last ⅓ avg 547ms
Headshot accuracy18.8%−2.7%
first ⅓ avg 21.5% → last ⅓ avg 18.8%

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

0.11Best rating — overpass 13–3
131Biggest win — cache
4Longest win streak
610In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 63% over 16anubisWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
ancientA2011955%-0.01
dust2A1710759%-0.02
mirageC1761135%-0.03
infernoA1610663%-0.02
anubisD1551033%-0.02
cacheA74357%-0.02
nuke4040%-0.07
train21150%-0.02
overpass110100%0.11
vertigo1010%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

127Matches
57%Win rate
1.08Avg K/D
75.4ADR
50%Headshot %

Clutches & streaks

20%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2152%0.9812.6
Dust21765%1.1114.7
Ancient1450%0.8813.8
Inferno1080%1.0513.5
Nuke580%1.0718.4
Overpass560%0.9213.0
Train450%1.0519.5
Anubis250%2.3317.5

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.

17.4%Headshot accuracy
31.3%Accuracy (enemy spotted)
35.2%Spray accuracy
73.5%Counter-strafing
9.7°Preaim
549msReaction time
18.2%T opening success
39.5%CT opening success
0.61Enemies flashed / flash
3.8%Flash assists
5.87HE damage / grenade
8.77Flashes / 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. 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 18.178% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
train13–5-0.0115%12 Aug
train10–13-0.0319%12 Aug
nuke7–13-0.106%30 Jul
dust213–16-0.0311%30 Jul
inferno9–130.0321%29 Jul
ancient7–13-0.0514%29 Jul
dust213–60.0516%26 Jul
anubis10–13-0.0717%26 Jul
anubis7–13-0.0416%24 Jul
mirage13–6-0.0531%24 Jul
nuke6–13-0.0631%23 Jul
cache13–30.0217%22 Jul
inferno13–8-0.0015%22 Jul
ancient11–13-0.059%20 Jul
inferno13–10-0.0531%20 Jul
dust210–13-0.0617%19 Jul
ancient16–14-0.0517%19 Jul
ancient13–8-0.053%18 Jul
inferno16–12-0.0417%18 Jul
ancient13–90.0113%16 Jul
dust211–13-0.0323%16 Jul
inferno2–3-0.0350%15 Jul
mirage13–20.0216%15 Jul
dust213–40.0014%15 Jul
ancient9–130.0412%14 Jul
anubis8–130.0325%14 Jul
dust213–7-0.018%13 Jul
ancient13–20.0733%13 Jul
anubis13–40.0333%13 Jul
cache6–130.0010%12 Jul
dust28–13-0.0228%12 Jul
mirage13–9-0.0419%12 Jul
nuke6–13-0.0817%5 Jul
mirage13–70.0021%5 Jul
ancient7–13-0.0710%4 Jul
dust213–11-0.0120%3 Jul
ancient13–60.0215%3 Jul
inferno4–13-0.0424%3 Jul
mirage2–13-0.0813%1 Jul
ancient11–130.0132%1 Jul
anubis13–10-0.077%1 Jul
dust213–30.0321%27 Jun
anubis11–13-0.0219%27 Jun
dust211–13-0.0422%25 Jun
mirage16–12-0.0218%22 Jun
anubis13–110.0512%22 Jun
inferno9–13-0.0425%22 Jun
mirage16–13-0.0117%21 Jun
overpass13–30.1123%21 Jun
mirage11–13-0.0219%21 Jun
ancient11–13-0.0524%21 Jun
ancient7–130.0334%16 Jun
ancient13–50.0521%16 Jun
inferno13–8-0.0221%15 Jun
mirage13–16-0.0824%15 Jun
anubis13–70.0028%13 Jun
dust213–11-0.0226%13 Jun
dust213–8-0.0424%12 Jun
anubis8–130.0320%12 Jun
mirage1–13-0.106%12 Jun
inferno8–13-0.0626%10 Jun
ancient14–16-0.0722%10 Jun
ancient13–70.0624%7 Jun
anubis5–13-0.0122%7 Jun
dust210–13-0.0228%7 Jun
inferno13–10-0.0520%6 Jun
dust213–6-0.0427%6 Jun
mirage4–13-0.0217%6 Jun
anubis2–13-0.0818%5 Jun
inferno13–90.0630%5 Jun
inferno13–100.0118%4 Jun
ancient13–80.0128%4 Jun
inferno13–40.0116%3 Jun
mirage10–13-0.0029%3 Jun
vertigo10–13-0.0424%3 Jun
ancient13–8-0.0515%2 Jun
anubis2–13-0.0723%2 Jun
mirage7–13-0.0232%2 Jun
dust216–130.0220%1 Jun
inferno13–6-0.0213%1 Jun
dust27–13-0.1025%31 May
mirage4–13-0.0015%31 May
dust213–110.0141%28 May
inferno13–7-0.0321%28 May
ancient16–14-0.0417%26 May
mirage6–13-0.0314%26 May
anubis5–10.0633%26 May
ancient16–13-0.0623%24 May
mirage9–13-0.0617%24 May
nuke15–15-0.0419%10 May
ancient7–13-0.0228%10 May
inferno10–13-0.0315%8 May
cache13–10.0215%8 May
cache7–13-0.0836%8 May
anubis3–9-0.0515%3 May
cache13–8-0.0212%3 May
cache8–13-0.0627%29 Apr
cache13–10-0.0330%29 Apr
anubis14–16-0.0624%23 Apr
mirage0–10-0.070%23 Apr

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 →