akid

akid — CS2 Stats

TN76561198248336856[U:1:288071128]Steam profile ↗✓ No bans

2,728Tracked matches60%Win rate2020Tracked since
CSDB Rating6.8 SolidSupport
CSDB Leaderboard#89433 of 221209 tracked
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 80 days played since 4 May 2025. Come back after the next session and the change shows above.

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Rating over time

18,685Peak Premier in tracked matches
2,558Highest Faceit ELO seen on CSDB
80Days played since 2025-05-04

Faceit ELO

  • At peak — 2,558
  • Next: 3,000 ELO at 3,000 442 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGakidPEAK ELO2,558csdb.gg/stats

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Performance scores

Aim81
Positioning60
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY56431Last 10056%Win rateLWLWWWWLWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −2.0pp headshot accuracy · −12ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 589ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 545ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 551ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.9 against its own average).

Aim8.1
Utility6.8
Positioning6.0
Opening Duels3.1
Clutch3.8

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower 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

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim8.1
Positioning6.0
Utility6.8
Mechanics6.1
Opening Duels2.4
Win Impact8.3

Composite 6.8/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time576ms−63ms
first ⅓ avg 639ms → last ⅓ avg 576ms
Headshot accuracy21.7%−2.8%
first ⅓ avg 24.5% → last ⅓ avg 21.7%

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.

Personal bests

0.15Best match rating · 13–6 · mirage, 6 Mar
42%Best headshot accuracy · 13–1 · inferno, 7 Mar
453msFastest reaction time · 19–16 · inferno, 6 Jan
13–1Biggest win · inferno, 7 Mar

Across the last 100 tracked matches.

Highlights

7Longest win streak
1212In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 86% over 7dust2Weakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageS2315865%0.02
ancientC2191243%0.01
infernoS1812667%0.02
dust2C145936%0.01
anubisA95456%-0.00
nukeS76186%0.01
overpass43175%0.01
train41325%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,507Matches
52%Win rate
1.19Avg K/D
76.8ADR
54%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage47751%1.1516.1
Dust237757%1.1916.4
Ancient33549%1.1416.0
Anubis32251%1.1516.3
Inferno31553%1.1615.9
Nuke11646%1.1416.5
Overpass7756%1.2016.4
Vertigo7553%1.2116.9

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.

21.8%Headshot accuracy
37.5%Accuracy (enemy spotted)
41.1%Spray accuracy
77.5%Counter-strafing
9.6°Preaim
568msReaction time
31.2%T opening success
47.6%CT opening success
0.77Enemies flashed / flash
9.4%Flash assists
8.89HE damage / grenade
12.51Flashes / 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 31.1893% — 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.

36% 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
dust211–130.0132%6 Aug
dust213–80.0231%4 Aug
anubis9–130.0323%3 Aug
nuke13–60.0624%3 Aug
mirage13–9-0.0115%16 May
inferno13–70.0412%16 May
dust216–140.0225%30 Apr
anubis15–190.0118%9 Apr
inferno13–3-0.045%24 Mar
ancient7–13-0.0421%14 Mar
mirage13–90.0615%10 Mar
inferno11–130.0619%8 Mar
inferno13–10.1242%7 Mar
mirage13–60.1531%6 Mar
ancient13–80.0424%26 Feb
anubis10–130.0029%29 Jan
dust212–160.0520%27 Jan
anubis2–13-0.084%16 Jan
dust213–9-0.0121%14 Jan
mirage11–130.0120%10 Jan
inferno19–160.0628%6 Jan
mirage13–100.0019%29 Dec
mirage13–80.0321%27 Dec
ancient13–16-0.0118%22 Dec
inferno13–10-0.0621%19 Dec
dust211–130.0423%16 Dec
ancient13–60.0315%2 Dec
inferno16–14-0.0224%27 Nov
mirage8–13-0.0139%25 Nov
ancient13–30.0614%25 Nov
mirage13–30.0539%23 Nov
mirage16–140.0014%10 Nov
nuke13–8-0.0115%10 Nov
ancient13–100.0419%8 Nov
ancient6–13-0.0121%31 Oct
nuke13–90.0421%28 Oct
dust211–13-0.0613%25 Oct
inferno13–40.0322%25 Oct
nuke16–14-0.0224%23 Oct
mirage13–90.0930%18 Oct
mirage13–80.0233%17 Oct
ancient22–20-0.0215%16 Oct
mirage13–60.0420%14 Oct
ancient13–100.0226%13 Oct
ancient8–130.1317%13 Oct
inferno5–13-0.0425%12 Oct
overpass13–7-0.0114%11 Oct
dust25–130.0610%10 Oct
ancient14–16-0.0420%4 Oct
nuke16–14-0.0126%4 Oct
overpass4–13-0.0219%2 Oct
mirage3–13-0.0730%2 Oct
dust211–130.0026%1 Oct
mirage13–3-0.0218%1 Oct
mirage11–13-0.0128%23 Sept
ancient13–90.0325%12 Sept
ancient13–40.1033%11 Sept
ancient7–13-0.0515%9 Sept
inferno13–110.0534%4 Sept
dust213–10-0.0124%25 Aug
inferno10–130.0341%24 Aug
mirage7–13-0.0124%19 Aug
dust25–13-0.0617%17 Aug
ancient5–13-0.0324%16 Aug
inferno13–90.0335%13 Aug
ancient10–130.069%13 Aug
mirage4–13-0.0222%11 Aug
ancient5–130.0626%11 Aug
ancient15–15-0.0017%2 Aug
mirage1–13-0.0641%2 Aug
mirage13–70.0831%30 Jul
dust210–13-0.0227%30 Jul
inferno13–60.0325%29 Jul
overpass13–110.0618%29 Jul
overpass8–3-0.0033%25 Jul
anubis13–50.0714%14 Jul
dust210–130.0525%12 Jul
mirage16–130.0225%10 Jul
ancient20–22-0.0517%9 Jul
inferno9–13-0.0239%9 Jul
inferno13–110.0030%8 Jul
mirage11–130.0119%3 Jul
anubis13–11-0.0119%27 Jun
mirage13–20.0821%26 Jun
ancient16–130.0524%25 Jun
dust213–60.0024%21 Jun
train4–13-0.1134%21 Jun
nuke11–13-0.0120%30 May
train10–13-0.0129%29 May
anubis13–80.0219%26 May
train13–5-0.0133%25 May
train14–16-0.0419%25 May
ancient5–13-0.0621%19 May
inferno5–130.0130%19 May
inferno10–130.0024%17 May
inferno13–110.0520%17 May
anubis13–90.0018%16 May
nuke13–70.0024%16 May
mirage13–110.0120%14 May
anubis13–9-0.0625%4 May

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →