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AKI — CS2 Stats

76561198159256375[U:1:198990647]

1,782Tracked matches33%Win rate2020Tracked since
1,726Hours in CS
CSDB Rating4.9 Developing
Premier CS Rating11,593Blue band · top ~46.5% of ranked players (population est.)
CSDB Leaderboard#25137 of 35929 tracked
FaceitLevel 5 · 1,052 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=918), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate34.7%44.2%44.9%10.1% short
Shot accuracy13.9%11.2%11.8%above
Kill/death ratio0.921.041.040.12 short
Match win rate48.2%45.3%45.3%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAKIFACEITLevel 5 · 1,052 ELOSTANDINGTop 67.6% of rankedPREMIER11,593 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim57
Positioning58
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY39–59–2Last 10039%Win rateLWWWLLWWWL

Last 10 vs previous 10: +30pp win rate · -0.03 avg rating

Player DNA

Aim5.7
Aggression9.6
Utility4.5
Positioning5.8
Opening Duels5.3
Clutch2.6

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

sh1ro

Plays most like sh1ro 84% playstyle similarity

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

Where you differ: lower utility contribution; 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

Reaction time. 734ms 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

Aim5.7
Positioning5.8
Utility4.5
Mechanics7.2
Opening Duels5.3
Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time724ms+33ms
first ⅓ avg 691ms → last ⅓ avg 724ms
Headshot accuracy22.2%+1.6%
first ⅓ avg 20.6% → 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

0.12Best rating — inferno 13–9
13–1Biggest win — nuke
3Longest win streak
7–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 83% over 6ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
nukeD248–1633%-0.01
infernoC228–1436%-0.00
dust2B189–950%-0.03
ancientD112–918%-0.03
anubisC83–538%-0.03
mirageS65–183%-0.02
overpassD51–420%-0.01
train—31–233%-0.01
vertigo—21–150%-0.09
cache—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,145Lifetime kills
0.92K/D
3,595Matches
48.2%Match win rate · Top 25% of Level 5 players
34.7%Headshot %
13.9%Shot accuracy · Top 50% of Level 5 players
8,380MVPs
1,726Hours (in match)
4,813Bombs planted
932Bombs defused

Most-used weapons

AWP18,355
AK-4713,200
M4A4 / M4A1-S7,134
Desert Eagle5,719
P2000 / USP-S4,335
MAC-102,112
Tec-91,977
P901,846
MP91,509
SSG 081,393

Lifetime map wins

11,317inferno
4,495dust2
4,294nuke
3,631vertigo
1,566train
330cbble
216lake
109bank

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

248Matches
48%Win rate
0.97Avg K/D
75.0ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno4370%1.0615.1
Nuke3549%1.2416.4
Dust21729%0.8513.8
Ancient1450%1.0116.9
Anubis1127%1.2216.3
Mirage911%0.6811.0
Train875%1.3817.8
Overpass757%1.0313.7

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.

21.9%Headshot accuracy
30.0%Accuracy (enemy spotted)
34.3%Spray accuracy
82.5%Counter-strafing
8.9°Preaim
734msReaction time
44.6%T opening success
58.1%CT opening success
0.54Enemies flashed / flash
4.5%Flash assists
9.03HE damage / grenade
5.27Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 734.2712ms — above the 700ms mark we flag

    Aim Training →
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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0116%23 Apr →
nuke13–90.0121%23 Apr →
inferno13–11-0.0122%23 Apr →
dust213–6-0.0622%8 Apr →
nuke3–13-0.1033%8 Apr →
vertigo10–13-0.1510%29 Mar →
anubis13–5-0.0415%27 Mar →
nuke13–70.0624%27 Mar →
nuke13–60.0527%27 Mar →
inferno3–13-0.0118%27 Mar →
dust213–9-0.0425%8 Mar →
nuke11–130.0232%7 Mar →
nuke7–13-0.0417%7 Mar →
ancient10–13-0.0713%28 Feb →
inferno13–30.0633%28 Feb →
nuke13–10.1017%28 Feb →
nuke9–13-0.0122%28 Feb →
ancient10–130.0913%28 Feb →
inferno2–13-0.0322%28 Feb →
anubis10–13-0.0636%24 Feb →
overpass6–13-0.0621%10 Feb →
anubis5–13-0.0724%9 Feb →
mirage13–16-0.0527%9 Feb →
dust214–160.0218%9 Feb →
nuke7–13-0.0317%2 Feb →
inferno13–90.0917%2 Feb →
anubis3–13-0.0813%31 Jan →
dust29–13-0.0518%31 Jan →
inferno2–13-0.0843%31 Jan →
dust25–13-0.0530%29 Jan →
inferno13–90.1228%29 Jan →
ancient7–13-0.1025%29 Jan →
ancient10–13-0.0914%27 Jan →
nuke15–150.0414%25 Jan →
nuke13–20.0215%24 Jan →
mirage13–4-0.0117%24 Jan →
nuke9–13-0.0526%23 Jan →
dust213–80.0515%23 Jan →
ancient15–15-0.0419%23 Jan →
inferno11–130.0625%23 Jan →
overpass16–140.0119%23 Jan →
anubis10–13-0.0110%23 Jan →
ancient13–70.0425%23 Jan →
anubis3–13-0.0836%22 Jan →
nuke7–13-0.0222%22 Jan →
inferno13–10-0.0350%22 Jan →
ancient13–100.0524%22 Jan →
dust23–13-0.0617%22 Jan →
train7–13-0.0536%21 Jan →
anubis13–70.0218%21 Jan →
dust213–30.0215%21 Jan →
vertigo13–11-0.0328%21 Jan →
overpass8–13-0.0133%21 Jan →
inferno7–130.0027%21 Jan →
dust213–60.0321%17 Jan →
dust213–9-0.0521%14 Jan →
overpass9–130.0118%14 Jan →
dust27–13-0.0424%14 Jan →
nuke11–13-0.0024%14 Jan →
nuke13–11-0.0416%9 Jan →
mirage16–14-0.0116%9 Jan →
inferno16–120.0321%7 Jan →
nuke1–6-0.0927%7 Jan →
inferno5–13-0.0922%6 Jan →
dust210–13-0.0517%6 Jan →
cache16–12-0.0118%3 Jan →
nuke9–13-0.0615%3 Jan →
ancient11–13-0.0113%3 Jan →
dust213–3-0.0334%3 Jan →
mirage13–110.0324%2 Jan →
inferno6–13-0.0425%2 Jan →
nuke13–90.0127%2 Jan →
train13–50.0920%2 Jan →
dust213–40.0018%2 Jan →
inferno9–130.0029%2 Jan →
nuke6–10-0.0528%2 Jan →
inferno7–13-0.0521%30 Dec →
inferno11–13-0.0312%29 Dec →
dust29–13-0.0221%29 Dec →
inferno5–130.0125%29 Dec →
train11–13-0.0630%27 Dec →
inferno5–13-0.0522%27 Dec →
dust27–13-0.1024%27 Dec →
mirage13–10-0.0741%26 Dec →
nuke4–13-0.0426%26 Dec →
nuke8–13-0.0210%24 Dec →
inferno16–140.0023%24 Dec →
ancient6–13-0.0918%24 Dec →
nuke6–13-0.0623%24 Dec →
anubis13–80.0616%24 Dec →
inferno10–130.0014%24 Dec →
ancient10–13-0.0115%21 Dec →
mirage13–4-0.0126%21 Dec →
nuke13–40.0219%21 Dec →
dust213–7-0.0210%21 Dec →
inferno4–13-0.0610%19 Dec →
overpass10–13-0.0117%19 Dec →
dust28–13-0.0112%19 Dec →
inferno13–90.0011%19 Dec →
ancient4–13-0.0515%19 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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