AKmelius — CS2 Stats

76561198115203668[U:1:154937940]

737Tracked matches50%Win rate2020Tracked since
1,265Hours in CS
CSDB Rating3.9 LearningClutch Specialist
Premier CS Rating19,711Purple band · top ~9.6% of ranked players (population est.)
CSDB Leaderboard#12232 of 27998 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
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 rate35.7%44.2%44.9%9.2% short
Shot accuracy10.8%11.2%11.8%1.0% short
Kill/death ratio0.961.041.040.08 short
Match win rate42.4%45.3%45.3%2.9% short

This profile sits below the typical Level 6 player on every metric we can compare.

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.GGAKmeliusFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,711 · Purple bandcsdb.gg/stats

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Performance scores

Aim46
Positioning28
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY54433Last 10054%Win rateLLWLWLLWWL

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

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim4.6
Aggression0.6
Utility5.1
Positioning2.8
Opening Duels0.0
Clutch9.4

Strong CT-side openerReliable in 1v1s

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 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 31% on CT to 11% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning2.8
Utility5.1
Mechanics4.3
Opening Duels0.1
Win Impact5.0

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time620ms+6ms
first ⅓ avg 614ms → last ⅓ avg 620ms
Headshot accuracy18.4%+1.4%
first ⅓ avg 17.0% → last ⅓ avg 18.4%

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

0.15Best rating — overpass 13–0
130Biggest win — nuke
5Longest win streak
L2Current streak
68In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 69% over 13ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B37201754%-0.00
nukeS139469%0.02
ancientC125742%-0.01
infernoB115645%-0.00
cacheS96367%-0.00
mirageB84450%-0.00
overpass43175%0.07
anubis31233%-0.00
italy1010%-0.01
shelter1010%0.04
vertigo110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,007Lifetime kills
0.96K/D
3,266Matches
42.4%Match win rate
35.7%Headshot %
10.8%Shot accuracy
5,285MVPs
1,265Hours (in match)
2,658Bombs planted
582Bombs defused

Most-used weapons

AK-4713,280
AWP6,431
Knife1,923
MP71,484
SSG 081,331

Lifetime map wins

10,332dust2
2,966inferno
1,821nuke
1,592vertigo
427train
309office
166cbble
74lake

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

Faceit stats

Combat

14Matches
64%Win rate
1.03Avg K/D
88.0ADR
39%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient450%0.8911.3
Mirage475%1.0814.0
Inferno2100%1.3416.0
Nuke1100%1.0716.0
Anubis10%1.2922.0

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.

18.3%Headshot accuracy
31.3%Accuracy (enemy spotted)
30.7%Spray accuracy
69.2%Counter-strafing
10.6°Preaim
617msReaction time
11.0%T opening success
30.7%CT opening success
0.57Enemies flashed / flash
5.9%Flash assists
9.60HE damage / grenade
6.23Flashes / 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 11.0172% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–130.0511%26 Jul
dust25–13-0.0122%26 Jul
ancient13–10-0.0410%26 Jul
ancient4–13-0.0618%23 Jul
dust213–60.0121%18 Jul
mirage14–16-0.0324%17 Jul
ancient10–13-0.104%17 Jul
inferno16–14-0.0214%16 Jul
cache13–4-0.0232%16 Jul
italy7–13-0.0119%16 Jul
dust216–130.0319%16 Jul
dust213–60.0515%16 Jul
dust213–10-0.0526%16 Jul
dust25–13-0.0823%14 Jul
ancient3–6-0.0514%14 Jul
mirage13–40.0622%14 Jul
dust213–8-0.0114%13 Jul
mirage13–5-0.0117%9 Jul
cache13–60.0732%9 Jul
shelter5–130.0418%9 Jul
anubis10–13-0.0114%30 Jun
dust20–13-0.049%29 Jun
dust213–6-0.0420%29 Jun
nuke13–00.0518%29 Jun
inferno11–13-0.0315%28 Jun
dust211–13-0.0020%28 Jun
nuke13–30.0124%27 Jun
nuke6–13-0.0913%27 Jun
dust23–13-0.0816%20 Jun
ancient13–60.0228%17 Jun
inferno13–110.0216%16 Jun
dust213–6-0.0218%15 Jun
mirage14–160.0023%15 Jun
dust213–11-0.013%14 Jun
dust25–13-0.0518%14 Jun
anubis6–130.0112%13 Jun
dust23–13-0.0310%13 Jun
dust213–6-0.0122%13 Jun
nuke13–20.1227%13 Jun
inferno11–13-0.069%12 Jun
overpass8–13-0.0212%12 Jun
cache10–13-0.0113%12 Jun
mirage13–8-0.0219%9 Jun
overpass13–00.156%9 Jun
dust213–10-0.0014%9 Jun
nuke13–50.0212%9 Jun
ancient13–60.0917%9 Jun
dust210–130.0020%7 Jun
inferno13–90.1019%7 Jun
dust213–7-0.0322%7 Jun
dust213–80.0320%7 Jun
inferno15–15-0.019%7 Jun
dust213–110.0318%7 Jun
cache12–40.0113%5 Jun
inferno11–13-0.038%5 Jun
ancient16–130.0111%5 Jun
dust24–13-0.0512%5 Jun
dust213–50.0725%4 Jun
dust28–13-0.0712%4 Jun
ancient8–130.0219%3 Jun
nuke13–6-0.0514%3 Jun
ancient13–70.0820%3 Jun
dust26–130.0535%3 Jun
ancient11–13-0.0611%2 Jun
dust210–130.0116%2 Jun
dust213–100.0217%2 Jun
dust210–13-0.0115%1 Jun
mirage12–12-0.0515%1 Jun
nuke13–50.0714%1 Jun
anubis13–11-0.0015%27 May
inferno13–100.048%27 May
nuke10–13-0.0215%27 May
nuke13–80.0314%27 May
inferno13–60.0444%26 May
vertigo13–100.0314%26 May
dust213–2-0.0129%26 May
nuke13–6-0.0319%25 May
nuke7–13-0.0123%25 May
mirage13–11-0.0014%25 May
nuke13–40.1215%25 May
cache10–13-0.0213%25 May
inferno11–13-0.0521%24 May
mirage15–150.0418%24 May
dust213–30.1122%24 May
dust26–130.0321%24 May
ancient10–13-0.0614%24 May
dust27–13-0.0620%23 May
cache13–6-0.0610%23 May
cache13–8-0.0319%22 May
cache4–130.0520%22 May
cache13–10-0.008%22 May
dust213–5-0.033%21 May
dust213–30.1026%21 May
overpass16–120.017%19 May
ancient5–130.0111%19 May
inferno10–13-0.0216%17 May
dust24–13-0.0717%17 May
overpass13–70.1416%17 May
dust213–70.0416%17 May
dust28–130.0823%17 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 →