Artemis — CS2 Stats

76561198965881820[U:1:1005616092]

839Tracked matches50%Win rate2020Tracked since
2,303Hours in CS12Hrs last 2 wks
CSDB Rating3.5 Learning
Premier CS Rating14,411Blue band · top ~31.5% of ranked players (population est.)
CSDB Leaderboard#19990 of 31110 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate34.3%41.7%44.1%9.7% short
Shot accuracy8.2%8.8%11.4%3.2% short
Kill/death ratio0.670.971.030.36 short
Match win rate37.2%43.8%45.2%8.0% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGArtemisPREMIER14,411 · Blue bandcsdb.gg/stats

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Performance scores

Aim26
Positioning34
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY58393Last 10058%Win rateLWWLWLWLLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim2.6
Aggression3.4
Utility6.2
Positioning3.4
Opening Duels0.0
Clutch4.0

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 74% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms 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

Aim2.6
Positioning3.4
Utility6.2
Mechanics4.8
Opening Duels1.1
Win Impact5.0

Composite 3.5/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time664ms+5ms
first ⅓ avg 659ms → last ⅓ avg 664ms
Headshot accuracy11.9%+0.2%
first ⅓ avg 11.7% → last ⅓ avg 11.9%

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

0.13Best rating — mirage 13–1
130Biggest win — anubis
7Longest win streak
126In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 73% over 15anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A36201656%-0.02
mirageA25151060%-0.01
infernoS1511473%0.01
ancientA116555%-0.03
anubisC83538%-0.01
nuke2020%-0.04
poseidon110100%-0.10
cache110100%-0.06
overpass110100%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,182Lifetime kills
0.67K/D
3,909Matches
37.2%Match win rate
34.3%Headshot %
8.2%Shot accuracy
4,069MVPs
1,240Hours (in match)
2,460Bombs planted
465Bombs defused

Most-used weapons

AK-477,664
AUG2,393
AWP2,191
SG 5531,643
P901,582

Lifetime map wins

13,397dust2
3,815inferno
721lake
572vertigo
529nuke
410bank
298safehouse
199cbble

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

Faceit stats

Combat

30Matches
33%Win rate
0.54Avg K/D
50.4ADR
36%Headshot %

Clutches & streaks

40%1v1 clutch win
38%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis743%0.499.3
Mirage633%0.669.0
Dust2450%0.657.8
Ancient20%0.294.0
Inferno20%0.548.0
Nuke10%0.428.0

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.

11.3%Headshot accuracy
27.9%Accuracy (enemy spotted)
29.6%Spray accuracy
71.5%Counter-strafing
12.0°Preaim
652msReaction time
16.8%T opening success
38.7%CT opening success
0.64Enemies flashed / flash
3.1%Flash assists
9.30HE damage / grenade
13.28Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.3309% — below the 15% mark we flag

    Aim Training
  2. 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 16.754% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.1212%29 Aug
inferno13–100.0110%28 Aug
dust213–60.0110%28 Aug
dust25–13-0.064%27 Aug
anubis13–0-0.010%24 Aug
mirage4–13-0.075%24 Aug
mirage13–40.018%16 Aug
mirage7–13-0.0710%7 Aug
mirage1–13-0.075%7 Aug
anubis13–11-0.028%7 Aug
dust213–80.006%7 Aug
mirage13–9-0.0316%6 Aug
inferno13–4-0.0113%6 Aug
ancient6–13-0.0217%5 Aug
mirage11–13-0.0211%28 Jul
anubis7–130.0413%22 Jul
dust23–13-0.097%21 Jul
dust213–60.0616%15 Jul
ancient13–3-0.0010%15 Jul
ancient10–13-0.039%14 Jul
mirage13–50.0615%14 Jul
dust27–13-0.0116%14 Jul
mirage8–13-0.0618%14 Jul
anubis4–130.0314%14 Jul
dust213–90.029%13 Jul
dust213–80.0119%13 Jul
dust26–13-0.0516%13 Jul
dust213–10.0610%13 Jul
anubis5–13-0.0414%10 Jul
dust213–8-0.0112%10 Jul
nuke14–16-0.0511%10 Jul
mirage13–7-0.0121%10 Jul
mirage13–7-0.0229%10 Jul
inferno13–90.0119%10 Jul
dust26–13-0.0125%10 Jul
dust213–50.1023%10 Jul
dust29–13-0.0615%7 Jul
dust22–13-0.0227%6 Jul
inferno13–11-0.039%6 Jul
anubis6–130.048%3 Jul
dust213–8-0.1011%3 Jul
dust211–13-0.0217%3 Jul
mirage16–14-0.0412%3 Jul
dust213–11-0.0610%1 Jul
ancient13–7-0.0314%29 Jun
inferno10–13-0.0724%29 Jun
dust213–11-0.106%29 Jun
ancient13–8-0.0320%29 Jun
inferno14–16-0.0917%25 Jun
dust211–13-0.0512%25 Jun
dust213–4-0.006%25 Jun
dust213–10.0816%25 Jun
dust213–4-0.0230%25 Jun
anubis13–11-0.0620%24 Jun
dust210–13-0.0324%24 Jun
ancient13–40.0115%24 Jun
inferno13–00.1014%23 Jun
mirage13–60.0116%23 Jun
dust213–4-0.0018%23 Jun
inferno13–40.0115%23 Jun
inferno13–7-0.0321%22 Jun
mirage13–10.1314%22 Jun
dust211–13-0.0418%22 Jun
dust212–12-0.1014%21 Jun
poseidon9–7-0.1018%21 Jun
dust213–90.0315%21 Jun
mirage13–6-0.0114%21 Jun
cache8–6-0.0615%20 Jun
inferno10–130.0013%19 Jun
mirage13–50.0613%19 Jun
mirage6–13-0.0415%19 Jun
inferno9–130.058%19 Jun
overpass13–80.0320%19 Jun
inferno13–40.0914%19 Jun
ancient5–13-0.068%18 Jun
ancient13–10-0.082%18 Jun
anubis4–13-0.038%17 Jun
ancient15–15-0.066%17 Jun
inferno13–110.029%17 Jun
mirage13–5-0.0412%17 Jun
dust213–9-0.0413%16 Jun
nuke9–13-0.048%12 Jun
dust213–4-0.026%11 Jun
mirage13–3-0.048%11 Jun
dust29–13-0.0026%11 Jun
inferno13–50.0011%11 Jun
mirage15–150.0117%11 Jun
mirage6–130.0111%11 Jun
inferno13–4-0.0011%10 Jun
mirage7–13-0.066%10 Jun
ancient13–11-0.0314%10 Jun
mirage13–50.0513%10 Jun
dust25–13-0.0419%4 Jun
ancient3–13-0.0416%4 Jun
mirage13–90.1210%4 Jun
mirage16–14-0.0210%1 Jun
dust29–130.0516%30 May
mirage10–13-0.0311%21 May
dust213–70.0310%21 May
dust216–14-0.038%21 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 →